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Opsahl JO, Fragoso-Bargas N, Lee Y, Carlsen EØ, Lekanova N, Qvigstad E, Sletner L, Jenum AK, Lee-Ødegård S, Prasad RB, Birkeland KI, Moen GH, Sommer C. Epigenome-wide association study of DNA methylation in maternal blood leukocytes with BMI in pregnancy and gestational weight gain. Int J Obes (Lond) 2024; 48:584-593. [PMID: 38219005 PMCID: PMC10978488 DOI: 10.1038/s41366-024-01458-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 12/17/2023] [Accepted: 01/02/2024] [Indexed: 01/15/2024]
Abstract
OBJECTIVES We aimed to discover CpG sites with differential DNA methylation in peripheral blood leukocytes associated with body mass index (BMI) in pregnancy and gestational weight gain (GWG) in women of European and South Asian ancestry. Furthermore, we aimed to investigate how the identified sites were associated with methylation quantitative trait loci, gene ontology, and cardiometabolic parameters. METHODS In the Epigenetics in pregnancy (EPIPREG) sample we quantified maternal DNA methylation in peripheral blood leukocytes in gestational week 28 with Illumina's MethylationEPIC BeadChip. In women with European (n = 303) and South Asian (n = 164) ancestry, we performed an epigenome-wide association study of BMI in gestational week 28 and GWG between gestational weeks 15 and 28 using a meta-analysis approach. Replication was performed in the Norwegian Mother, Father, and Child Cohort Study, the Study of Assisted Reproductive Technologies (MoBa-START) (n = 877, mainly European/Norwegian). RESULTS We identified one CpG site significantly associated with GWG (p 5.8 × 10-8) and five CpG sites associated with BMI at gestational week 28 (p from 4.0 × 10-8 to 2.1 × 10-10). Of these, we were able to replicate three in MoBa-START; cg02786370, cg19758958 and cg10472537. Two sites are located in genes previously associated with blood pressure and BMI. DNA methylation at the three replicated CpG sites were associated with levels of blood pressure, lipids and glucose in EPIPREG (p from 1.2 × 10-8 to 0.04). CONCLUSIONS We identified five CpG sites associated with BMI at gestational week 28, and one with GWG. Three of the sites were replicated in an independent cohort. Several genetic variants were associated with DNA methylation at cg02786379 and cg16733643 suggesting a genetic component influencing differential methylation. The identified CpG sites were associated with cardiometabolic traits. CLINICALTRIALS GOV REGISTRATION NO Not applicable.
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Affiliation(s)
- J O Opsahl
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - N Fragoso-Bargas
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Y Lee
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - E Ø Carlsen
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - N Lekanova
- Department of Biosciences, The Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - E Qvigstad
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - L Sletner
- Department of Pediatric and Adolescents Medicine, Akershus University Hospital, Lørenskog, Norway
| | - A K Jenum
- General Practice Research Unit, Department of General Practice, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - S Lee-Ødegård
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - R B Prasad
- Lund University Diabetes Centre, Malmö, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - K I Birkeland
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
| | - G-H Moen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, 4102, Australia
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Institute of Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia
| | - C Sommer
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.
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Huang M, Prasad RB, Coral DE, Hjort L, Minja DT, Mulder H, Franks PW, Kalamajski S. Human Genetic Variation at rs10071329 Correlates With Adiposity-Related Traits, Modulates PPARGC1B Expression, and Alters Brown Adipocyte Function. Diabetes 2024; 73:637-645. [PMID: 38190589 PMCID: PMC10958585 DOI: 10.2337/db23-0531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/18/2023] [Indexed: 01/10/2024]
Abstract
Human genetic variation in PPARGC1B has been associated with adiposity, but the genetic variants that affect PPARGC1B expression have not been experimentally determined. Here, guided by previous observational data, we used clustered regularly interspaced short palindromic repeats/CRISPR associated protein 9 (CRISPR/Cas9) to scarlessly edit the alleles of the candidate causal genetic variant rs10071329 in a human brown adipocyte cell line. Switching the rs10071329 genotype from A/A to G/G enhanced PPARGC1B expression throughout the adipogenic differentiation, identifying rs10071329 as a cis-expression quantitative trait loci (eQTL). The higher PPARGC1B expression in G/G cells coincided with greater accumulation of triglycerides and higher expression of mitochondria-encoded genes, but without significant effects on adipogenic marker expression. Furthermore, G/G cells had improved basal- and norepinephrine-stimulated mitochondrial respiration, possibly relating to enhanced mitochondrial gene expression. The G/G cells also exhibited increased norepinephrine-stimulated glycerol release, indicating improved lipolysis. Altogether, our results showed that rs10071329 is a cis-eQTL, with the G/G genotype conferring enhanced PPARGC1B expression, with consequent improved mitochondrial function and response to norepinephrine in brown adipocytes. This genetic variant, and as yet undetermined eQTLs, at PPARGC1B could prove useful in genotype-based precision medicine for obesity treatment. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Mi Huang
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - Rashmi B. Prasad
- Genomics, Diabetes and Endocrinology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Institute for Molecular Medicine, Helsinki University, Helsinki, Finland
| | - Daniel E. Coral
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - Line Hjort
- Department of Obstetrics, Center for Pregnant Women with Diabetes, Copenhagen University Hospital (Rigshospitalet), Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Metabolic Epigenetics Group, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Daniel T.R. Minja
- National Institute for Medical Research, Tanga Center, Tanga, Tanzania
| | - Hindrik Mulder
- Unit of Molecular Metabolism, Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - Paul W. Franks
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Sebastian Kalamajski
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
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3
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Linares-Pineda TM, Fragoso-Bargas N, Picón MJ, Molina-Vega M, Jenum AK, Sletner L, Lee-Ødegård S, Opsahl JO, Moen GH, Qvigstad E, Prasad RB, Birkeland KI, Morcillo S, Sommer C. DNA methylation risk score for type 2 diabetes is associated with gestational diabetes. Cardiovasc Diabetol 2024; 23:68. [PMID: 38350951 PMCID: PMC10865541 DOI: 10.1186/s12933-024-02151-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 02/02/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (T2DM) share many pathophysiological factors including genetics, but whether epigenetic marks are shared is unknown. We aimed to test whether a DNA methylation risk score (MRS) for T2DM was associated with GDM across ancestry and GDM criteria. METHODS In two independent pregnancy cohorts, EPIPREG (n = 480) and EPIDG (n = 32), DNA methylation in peripheral blood leukocytes was measured at a gestational age of 28 ± 2. We constructed an MRS in EPIPREG and EPIDG based on CpG hits from a published epigenome-wide association study (EWAS) of T2DM. RESULTS With mixed models logistic regression of EPIPREG and EPIDG, MRS for T2DM was associated with GDM: odd ratio (OR)[95% CI]: 1.3 [1.1-1.8], P = 0.002 for the unadjusted model, and 1.4 [1.1-1.7], P = 0.00014 for a model adjusted by age, pre-pregnant BMI, family history of diabetes and smoking status. Also, we found 6 CpGs through a meta-analysis (cg14020176, cg22650271, cg14870271, cg27243685, cg06378491, cg25130381) associated with GDM, and some of their methylation quantitative loci (mQTLs) were related to T2DM and GDM. CONCLUSION For the first time, we show that DNA methylation marks for T2DM are also associated with GDM, suggesting shared epigenetic mechanisms between GDM and T2DM.
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Affiliation(s)
- Teresa M Linares-Pineda
- Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica Málaga (IBIMA)- Plataforma Bionand, University Hospital Virgen de la Victoria, Málaga, Spain
- Department of Biochemistry and Molecular Biology 2, University of Granada, Granada, Spain
- Centre for Biomedical Research Network on Obesity Physiopathology and Nutrition (CIBEROBN), Madrid, Spain
| | - Nicolas Fragoso-Bargas
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, 0424, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - María José Picón
- Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica Málaga (IBIMA)- Plataforma Bionand, University Hospital Virgen de la Victoria, Málaga, Spain
| | - Maria Molina-Vega
- Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica Málaga (IBIMA)- Plataforma Bionand, University Hospital Virgen de la Victoria, Málaga, Spain
| | - Anne Karen Jenum
- General Practice Research Unit (AFE), Department of General Practice, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Line Sletner
- Department of Pediatric and Adolescents Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Sindre Lee-Ødegård
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Julia O Opsahl
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Haukeland University Hospital, Bergen, Norway
| | - Gunn-Helen Moen
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, 0424, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
- K. G Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Frazer Institute, The University of Queensland, Woolloongabba, QLD, 4102, Australia
| | - Elisabeth Qvigstad
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, 0424, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Rashmi B Prasad
- Lund University Diabetes Centre, Malmo, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Kåre I Birkeland
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, 0424, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Sonsoles Morcillo
- Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica Málaga (IBIMA)- Plataforma Bionand, University Hospital Virgen de la Victoria, Málaga, Spain
- Centre for Biomedical Research Network on Obesity Physiopathology and Nutrition (CIBEROBN), Madrid, Spain
| | - Christine Sommer
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, 0424, Norway.
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Salunkhe VA, Sinha N, Ahlqvist E, Prasad RB, Johansson S, Abrahamsson B, Rosengren AH. Digital lifestyle treatment improves long-term metabolic control in type 2 diabetes with different effects in pathophysiological and genetic subgroups. NPJ Digit Med 2023; 6:199. [PMID: 37884680 PMCID: PMC10603160 DOI: 10.1038/s41746-023-00946-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 10/13/2023] [Indexed: 10/28/2023] Open
Abstract
To address the unmet need for scalable solutions for lifestyle treatment, we developed a new digital method to promote behavioral change. Here we report that patients with type-2 diabetes in Sweden (n = 331) exposed to the intervention have significantly improved HbA1c during a median follow-up of 1038 days (4 mmol/mol compared with matched controls; P = 0.009). This is paralleled by reduced body weight, ameliorated insulin secretion, increased physical activity, and cognitive eating restraints. Participants with high BMI and insulin resistance have an even larger response, as have non-risk allele carriers for the FTO gene. The findings open a new avenue for scalable lifestyle management with sustained efficacy and highlight a previously unrecognized opportunity for digital precision treatment based on genetics and individual pathophysiology. ClinicalTrials.gov NCT04624321.
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Affiliation(s)
- Vishal A Salunkhe
- Department of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Neha Sinha
- Department of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Emma Ahlqvist
- Lund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Rashmi B Prasad
- Lund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | | | - Birgitta Abrahamsson
- Department of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Anders H Rosengren
- Department of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.
- Region Skåne, Kristianstad, Sweden.
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5
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Yajnik CS, Wagh R, Kunte P, Asplund O, Ahlqvist E, Bhat D, Shukla SR, Prasad RB. Polygenic scores of diabetes-related traits in subgroups of type 2 diabetes in India: a cohort study. Lancet Reg Health Southeast Asia 2023; 14:100182. [PMID: 37492423 PMCID: PMC10363502 DOI: 10.1016/j.lansea.2023.100182] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 12/08/2022] [Accepted: 03/09/2023] [Indexed: 07/27/2023]
Abstract
Background A machine-learning approach identified five subgroups of diabetes in Europeans which included severe autoimmune diabetes (SAID), severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), mild obesity-related diabetes (MOD) and mild age-related diabetes (MARD) with partially distinct genetic aetiologies. We previously validated four of the non-autoimmune subgroups in people with young-onset type 2 diabetes (T2D) from the Indian WellGen study. Here, we aimed to apply European-derived centroids and genetic risk scores (GRSs) to the unselected (for age) WellGen to test their applicability and investigate the genetic aetiology of the Indian T2D subgroups. Methods We applied European derived centroids and GRSs to T2D participants of Indian ancestry (WellGen, n = 2217, 821 genotyped) and compared them with normal glucose tolerant controls (Pune Maternal Nutrition Study, n = 461). Findings SIDD was the predominant subgroup followed by MOD, whereas SIRD and MARD were less frequent. Weighted-GRS for T2D, obesity and lipid-related traits associated with T2D. We replicated some of the previous associations of GRS for T2D, insulin secretion, and BMI with SIDD and MOD. Unique to Indian subgroups was the association of GRS for (a) proinsulin with MOD and MARD, (b) liver-lipids with SIDD, SIRD and MOD, and (c) opposite effect of beta-cell GRS with SIDD and MARD, obesity GRS with MARD compared to Europeans. Genetic variants of fucosyltransferases were associated with T2D and MOD in Indians but not Europeans. Interpretation The similarities emphasise the applicability of some of the European-derived GRSs to T2D and its subgroups in India while the differences highlight the need for large-scale studies to identify aetiologies in diverse ancestries. The data provide robust evidence for genetically distinct aetiologies for the T2D subgroups and at least partly mirror those seen in Europeans. Funding Vetenskapsrådet, Diabetes Wellness, and Hjärt-Lungfonden (Sweden), DST (India), Wellcome Trust, Crafoord Foundation and Albert Påhlsson Foundation.
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Affiliation(s)
- Chittaranjan S. Yajnik
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, 411011, India
| | - Rucha Wagh
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, 411011, India
- Symbiosis School of Biological Sciences, Symbiosis International (Deemed) University, Pune, 411021, India
| | - Pooja Kunte
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, 411011, India
- Diabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown Campus, Sydney, 2560, NSW, Australia
| | - Olof Asplund
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö SE-205 02, Sweden
| | - Emma Ahlqvist
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö SE-205 02, Sweden
| | - Dattatrey Bhat
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, 411011, India
| | - Sharvari R. Shukla
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, 411011, India
- Symbiosis Statistical Institute, Symbiosis International University, Pune, 411005, India
| | - Rashmi B. Prasad
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö SE-205 02, Sweden
- Institute for Molecular Medicine Finland FIMM, Helsinki University, 00290, Helsinki, Finland
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6
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Williamson A, Norris DM, Yin X, Broadaway KA, Moxley AH, Vadlamudi S, Wilson EP, Jackson AU, Ahuja V, Andersen MK, Arzumanyan Z, Bonnycastle LL, Bornstein SR, Bretschneider MP, Buchanan TA, Chang YC, Chuang LM, Chung RH, Clausen TD, Damm P, Delgado GE, de Mello VD, Dupuis J, Dwivedi OP, Erdos MR, Fernandes Silva L, Frayling TM, Gieger C, Goodarzi MO, Guo X, Gustafsson S, Hakaste L, Hammar U, Hatem G, Herrmann S, Højlund K, Horn K, Hsueh WA, Hung YJ, Hwu CM, Jonsson A, Kårhus LL, Kleber ME, Kovacs P, Lakka TA, Lauzon M, Lee IT, Lindgren CM, Lindström J, Linneberg A, Liu CT, Luan J, Aly DM, Mathiesen E, Moissl AP, Morris AP, Narisu N, Perakakis N, Peters A, Prasad RB, Rodionov RN, Roll K, Rundsten CF, Sarnowski C, Savonen K, Scholz M, Sharma S, Stinson SE, Suleman S, Tan J, Taylor KD, Uusitupa M, Vistisen D, Witte DR, Walther R, Wu P, Xiang AH, Zethelius B, Ahlqvist E, Bergman RN, Chen YDI, Collins FS, Fall T, Florez JC, Fritsche A, Grallert H, Groop L, Hansen T, Koistinen HA, Komulainen P, Laakso M, Lind L, Loeffler M, März W, Meigs JB, Raffel LJ, Rauramaa R, Rotter JI, Schwarz PEH, Stumvoll M, Sundström J, Tönjes A, Tuomi T, Tuomilehto J, Wagner R, Barroso I, Walker M, Grarup N, Boehnke M, Wareham NJ, Mohlke KL, Wheeler E, O'Rahilly S, Fazakerley DJ, Langenberg C. Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake. Nat Genet 2023; 55:973-983. [PMID: 37291194 PMCID: PMC7614755 DOI: 10.1038/s41588-023-01408-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 04/26/2023] [Indexed: 06/10/2023]
Abstract
Distinct tissue-specific mechanisms mediate insulin action in fasting and postprandial states. Previous genetic studies have largely focused on insulin resistance in the fasting state, where hepatic insulin action dominates. Here we studied genetic variants influencing insulin levels measured 2 h after a glucose challenge in >55,000 participants from three ancestry groups. We identified ten new loci (P < 5 × 10-8) not previously associated with postchallenge insulin resistance, eight of which were shown to share their genetic architecture with type 2 diabetes in colocalization analyses. We investigated candidate genes at a subset of associated loci in cultured cells and identified nine candidate genes newly implicated in the expression or trafficking of GLUT4, the key glucose transporter in postprandial glucose uptake in muscle and fat. By focusing on postprandial insulin resistance, we highlighted the mechanisms of action at type 2 diabetes loci that are not adequately captured by studies of fasting glycemic traits.
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Affiliation(s)
- Alice Williamson
- MRC Epidemiology Unit Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Metabolic Research Laboratories Wellcome Trust-MRC Institute of Metabolic Science, Department of Clinical Biochemistry, University of Cambridge, Cambridge, UK
| | - Dougall M Norris
- Metabolic Research Laboratories Wellcome Trust-MRC Institute of Metabolic Science, Department of Clinical Biochemistry, University of Cambridge, Cambridge, UK
| | - Xianyong Yin
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - K Alaine Broadaway
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Anne H Moxley
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | | | - Emma P Wilson
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Anne U Jackson
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Vasudha Ahuja
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Zorayr Arzumanyan
- Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Lori L Bonnycastle
- Center for Precision Health Research National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stefan R Bornstein
- Department of Internal Medicine III, Metabolic and Vascular Medicine, Medical Faculty Carl Gustav Carus, Dresden, Germany
- Helmholtz Zentrum München Paul Langerhans Institute Dresden (PLID), University Hospital and Faculty of Medicine TU Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Maxi P Bretschneider
- Department of Internal Medicine III, Metabolic and Vascular Medicine, Medical Faculty Carl Gustav Carus, Dresden, Germany
- Helmholtz Zentrum München Paul Langerhans Institute Dresden (PLID), University Hospital and Faculty of Medicine TU Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Thomas A Buchanan
- Department of Medicine, Division of Endocrinology and Diabetes, Keck School of Medicine USC, Los Angeles, CA, USA
| | - Yi-Cheng Chang
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei City, Taiwan
- Internal Medicine, National Taiwan University Hospital, Taipei City, Taiwan
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - Lee-Ming Chuang
- Department of Internal Medicine, Division of Endocrinology and Metabolism, National Taiwan University Hospital, Taipei City, Taiwan
| | - Ren-Hua Chung
- Institute of Population Health Sciences, National Health Research Institutes, Toufen, Taiwan
| | - Tine D Clausen
- Department of Gynecology and Obstetrics, Nordsjaellands Hospital, Hillerød, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter Damm
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Pregnant Women with Diabetes, Rigshospitalet, Copenhagen, Denmark
- Department of Obstetrics, Rigshospitalet, Copenhagen, Denmark
| | - Graciela E Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Vanessa D de Mello
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Quebec, Canada
| | - Om P Dwivedi
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Michael R Erdos
- Center for Precision Health Research National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Christian Gieger
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Mark O Goodarzi
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Xiuqing Guo
- Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stefan Gustafsson
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Liisa Hakaste
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Ulf Hammar
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Gad Hatem
- Clinical Sciences Malmö, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
| | - Sandra Herrmann
- Helmholtz Zentrum München Paul Langerhans Institute Dresden (PLID), University Hospital and Faculty of Medicine TU Dresden, Dresden, Germany
- Department of Internal Medicine III, Prevention and Care of Diabetes, Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - Kurt Højlund
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Katrin Horn
- Medical Faculty Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, Germany
- LIFE Leipzig Research Center for Civilization Diseases, Medical Faculty, Leipzig, Germany
| | - Willa A Hsueh
- Internal Medicine, Endocrinology, Diabetes and Metabolism, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Yi-Jen Hung
- Institute of Preventive Medicine, National Defense Medical Center, New Taipei City, Taiwan
| | - Chii-Min Hwu
- Department of Medicine Section of Endocrinology and Metabolism, Taipei Veterans General Hospital, Taipei City, Taiwan
| | - Anna Jonsson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Line L Kårhus
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Marcus E Kleber
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- SYNLAB MVZ Humangenetik Mannheim, Mannheim, Germany
| | - Peter Kovacs
- Medical Department III-Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Timo A Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Marie Lauzon
- Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - I-Te Lee
- Department of Internal Medicine Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung City, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei City, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung City, Taiwan
| | - Cecilia M Lindgren
- Big Data Institute Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Wellcome Trust Centre Human Genetics, University of Oxford, Oxford, UK
- Broad Institute, Cambridge, MA, USA
| | | | - Allan Linneberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jian'an Luan
- MRC Epidemiology Unit Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Dina Mansour Aly
- Clinical Sciences Malmö, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
| | - Elisabeth Mathiesen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Pregnant Women with Diabetes, Rigshospitalet, Copenhagen, Denmark
- Department of Endocrinology Rigshospitalet, Copenhagen, Denmark
| | - Angela P Moissl
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Institute of Nutritional Sciences, Friedrich-Schiller-University, Jena, Germany
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena, Jena, Germany
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
| | - Narisu Narisu
- Center for Precision Health Research National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nikolaos Perakakis
- Department of Internal Medicine III, Metabolic and Vascular Medicine, Medical Faculty Carl Gustav Carus, Dresden, Germany
- Helmholtz Zentrum München Paul Langerhans Institute Dresden (PLID), University Hospital and Faculty of Medicine TU Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Annette Peters
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Rashmi B Prasad
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Clinical Sciences Malmö, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
| | - Roman N Rodionov
- Department of Internal Medicine III, University Center for Vascular Medicine, Medical Faculty Carl Gustav Carus, Dresden, Germany
- College of Medicine and Public Health, Flinders University and Flinders Medical Centre, Adelaide, Australia
| | - Kathryn Roll
- Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Carsten F Rundsten
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Chloé Sarnowski
- Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center, Houston, TX, USA
| | - Kai Savonen
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Markus Scholz
- Medical Faculty Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, Germany
- LIFE Leipzig Research Center for Civilization Diseases, Medical Faculty, Leipzig, Germany
| | - Sapna Sharma
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Food Chemistry and Molecular and Sensory Science, Technical University of Munich, Freising-Weihenstephan, München, Germany
| | - Sara E Stinson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sufyan Suleman
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jingyi Tan
- Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kent D Taylor
- Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Matti Uusitupa
- Department of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Dorte Vistisen
- Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Daniel R Witte
- Steno Diabetes Center Aarhus, Aarhus, Denmark
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Romy Walther
- Helmholtz Zentrum München Paul Langerhans Institute Dresden (PLID), University Hospital and Faculty of Medicine TU Dresden, Dresden, Germany
- Department of Internal Medicine III, Pathobiochemistry, Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - Peitao Wu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Anny H Xiang
- Research and Evaluation, Division of Biostatistics, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Björn Zethelius
- Department of Public Health and Caring Sciences, Geriatrics, Uppsala University, Uppsala, Sweden
| | - Emma Ahlqvist
- Clinical Sciences Malmö, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
| | - Richard N Bergman
- Diabetes and Obesity Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yii-Der Ida Chen
- Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Francis S Collins
- Center for Precision Health Research National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tove Fall
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Jose C Florez
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical and Population Genetics, The Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Andreas Fritsche
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany
| | - Harald Grallert
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Leif Groop
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Clinical Sciences Malmö, Genomics, Diabetes and Endocrinology, Lund University, Lund, Sweden
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Heikki A Koistinen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Pirjo Komulainen
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Lars Lind
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Markus Loeffler
- Medical Faculty Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, Germany
- LIFE Leipzig Research Center for Civilization Diseases, Medical Faculty, Leipzig, Germany
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Synlab Academy, SYNLAB Holding Deutschland GmbH, Mannheim, Germany
| | - James B Meigs
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany
- Clinical Sciences Malmö, Genomics, Diabetes and Endocrinology, Lund University, Lund, Sweden
- Department of Medicine Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Leslie J Raffel
- Department of Pediatrics, Genetic and Genomic Medicine, University of California, Irvine, CA, USA
| | - Rainer Rauramaa
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Peter E H Schwarz
- Helmholtz Zentrum München Paul Langerhans Institute Dresden (PLID), University Hospital and Faculty of Medicine TU Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Department of Internal Medicine III, Prevention and Care of Diabetes, Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - Michael Stumvoll
- Medical Department III-Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Johan Sundström
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Anke Tönjes
- Medical Department III-Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Jaakko Tuomilehto
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Robert Wagner
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany
| | - Inês Barroso
- Exeter Centre of Excellence for Diabetes Research (EXCEED), Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Mark Walker
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Boehnke
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas J Wareham
- MRC Epidemiology Unit Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.
| | - Eleanor Wheeler
- MRC Epidemiology Unit Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK.
| | - Stephen O'Rahilly
- Metabolic Research Laboratories Wellcome Trust-MRC Institute of Metabolic Science, Department of Clinical Biochemistry, University of Cambridge, Cambridge, UK.
| | - Daniel J Fazakerley
- Metabolic Research Laboratories Wellcome Trust-MRC Institute of Metabolic Science, Department of Clinical Biochemistry, University of Cambridge, Cambridge, UK.
| | - Claudia Langenberg
- MRC Epidemiology Unit Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK.
- Computational Medicine, Berlin Institute of Health at Charité-Universitätsmedizin, Berlin, Germany.
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK.
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7
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Dwivedi OP, Barreiro K, Käräjämäki A, Valo E, Giri AK, Prasad RB, Roy RD, Thorn LM, Rannikko A, Holthöfer H, Gooding KM, Sourbron S, Delic D, Gomez MF, Groop PH, Tuomi T, Forsblom C, Groop L, Puhka M. Genome-wide mRNA profiling in urinary extracellular vesicles reveals stress gene signature for diabetic kidney disease. iScience 2023; 26:106686. [PMID: 37216114 PMCID: PMC10193229 DOI: 10.1016/j.isci.2023.106686] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 11/19/2022] [Accepted: 04/13/2023] [Indexed: 05/24/2023] Open
Abstract
Urinary extracellular vesicles (uEV) are a largely unexplored source of kidney-derived mRNAs with potential to serve as a liquid kidney biopsy. We assessed ∼200 uEV mRNA samples from clinical studies by genome-wide sequencing to discover mechanisms and candidate biomarkers of diabetic kidney disease (DKD) in Type 1 diabetes (T1D) with replication in Type 1 and 2 diabetes. Sequencing reproducibly showed >10,000 mRNAs with similarity to kidney transcriptome. T1D DKD groups showed 13 upregulated genes prevalently expressed in proximal tubules, correlated with hyperglycemia and involved in cellular/oxidative stress homeostasis. We used six of them (GPX3, NOX4, MSRB, MSRA, HRSP12, and CRYAB) to construct a transcriptional "stress score" that reflected long-term decline of kidney function and could even identify normoalbuminuric individuals showing early decline. We thus provide workflow and web resource for studying uEV transcriptomes in clinical urine samples and stress-linked DKD markers as potential early non-invasive biomarkers or drug targets.
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Affiliation(s)
- Om Prakash Dwivedi
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Karina Barreiro
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, EV and HiPrep Core, University of Helsinki, Helsinki, Finland
| | - Annemari Käräjämäki
- Department of Primary Health Care, Vaasa Central Hospital, Hietalahdenkatu 2-4, 65130 Vaasa, Finland
- Diabetes Center, Vaasa Health Care Center, Sepänkyläntie 14-16, 65100 Vaasa, Finland
| | - Erkka Valo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Anil K. Giri
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Foundation for the Finnish Cancer Institute (FCI), Tukholmankatu 8, 00290 Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
- HiLIFE-Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Rashmi B. Prasad
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, SE 214 28 Malmö, Sweden
| | - Rishi Das Roy
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Lena M. Thorn
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Antti Rannikko
- Research Program in Systems Oncology, Faculty of Medicine, 00014 University of Helsinki, Helsinki, Finland
- Department of Urology, 00014 University of Helsinki, and Helsinki University Hospital, 00100 Helsinki, Finland
| | - Harry Holthöfer
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Medicine, University Medical Center, Hamburg-Eppendorf, Hamburg, Germany
| | - Kim M. Gooding
- Diabetes and Vascular Research Centre, National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
| | - Steven Sourbron
- Department of Imaging, Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Denis Delic
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
- Fifth Department of Medicine, Nephrology/Endocrinology/Rheumatology/Pneumology, University Medical Centre Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Maria F. Gomez
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, SE 214 28 Malmö, Sweden
| | | | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Diabetes, Central Clinical School Monash University, Melbourne, VIC, Australia
| | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, SE 214 28 Malmö, Sweden
- Endocrinology, Abdominal Centre, Helsinki University Hospital, Helsinki, Finland
| | - Carol Forsblom
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Leif Groop
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, SE 214 28 Malmö, Sweden
| | - Maija Puhka
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, EV and HiPrep Core, University of Helsinki, Helsinki, Finland
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8
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Bsharat S, Monni E, Singh T, Johansson JK, Achanta K, Bertonnier-Brouty L, Schmidt-Christensen A, Holmberg D, Kokaia Z, Prasad RB, Artner I. MafB-dependent neurotransmitter signaling promotes β cell migration in the developing pancreas. Development 2023; 150:297329. [PMID: 36897571 PMCID: PMC10112931 DOI: 10.1242/dev.201009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 02/22/2023] [Indexed: 03/11/2023]
Abstract
Hormone secretion from pancreatic islets is essential for glucose homeostasis and loss or dysfunction of islet cells is a hallmark of type 2 diabetes. Maf transcription factors are critical for establishing and maintaining adult endocrine cell function. However, during pancreas development, MafB is not only expressed in insulin- and glucagon-producing cells, but also Neurog3+ endocrine progenitor cells suggesting additional functions in cell differentiation and islet formation. Here we report that MafB deficiency impairs β cell clustering and islet formation, but also coincides with loss of neurotransmitter and axon guidance receptor gene expression. Moreover, the observed loss of nicotinic receptor gene expression in human and mouse β cells implied that signaling through these receptors contributes to islet cell migration/formation. Inhibition of nicotinic receptor activity resulted in reduced β cell migration towards autonomic nerves and impaired β cell clustering. These findings highlight a novel function of MafB in controlling neuronal-directed signaling events required for islet formation.
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Affiliation(s)
- Sara Bsharat
- Lund Stem Cell Center, Lund University, Klinikgatan 26 22184, Lund, Sweden.,Lund University Diabetes Center, Jan Waldenströms gata 35, 214 28, Malmö, Sweden
| | - Emanuela Monni
- Lund Stem Cell Center, Lund University, Klinikgatan 26 22184, Lund, Sweden
| | - Tania Singh
- Lund Stem Cell Center, Lund University, Klinikgatan 26 22184, Lund, Sweden.,Lund University Diabetes Center, Jan Waldenströms gata 35, 214 28, Malmö, Sweden
| | - Jenny K Johansson
- Lund Stem Cell Center, Lund University, Klinikgatan 26 22184, Lund, Sweden.,Lund University Diabetes Center, Jan Waldenströms gata 35, 214 28, Malmö, Sweden
| | - Kavya Achanta
- Lund Stem Cell Center, Lund University, Klinikgatan 26 22184, Lund, Sweden.,Lund University Diabetes Center, Jan Waldenströms gata 35, 214 28, Malmö, Sweden
| | - Ludivine Bertonnier-Brouty
- Lund Stem Cell Center, Lund University, Klinikgatan 26 22184, Lund, Sweden.,Lund University Diabetes Center, Jan Waldenströms gata 35, 214 28, Malmö, Sweden
| | | | - Dan Holmberg
- Lund University Diabetes Center, Jan Waldenströms gata 35, 214 28, Malmö, Sweden
| | - Zaal Kokaia
- Lund Stem Cell Center, Lund University, Klinikgatan 26 22184, Lund, Sweden
| | - Rashmi B Prasad
- Lund University Diabetes Center, Jan Waldenströms gata 35, 214 28, Malmö, Sweden
| | - Isabella Artner
- Lund Stem Cell Center, Lund University, Klinikgatan 26 22184, Lund, Sweden.,Lund University Diabetes Center, Jan Waldenströms gata 35, 214 28, Malmö, Sweden
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9
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Fragoso-Bargas N, Elliott HR, Lee-Ødegård S, Opsahl JO, Sletner L, Jenum AK, Drevon CA, Qvigstad E, Moen GH, Birkeland KI, Prasad RB, Sommer C. Cross-Ancestry DNA Methylation Marks of Insulin Resistance in Pregnancy: An Integrative Epigenome-Wide Association Study. Diabetes 2023; 72:415-426. [PMID: 36534481 PMCID: PMC9935495 DOI: 10.2337/db22-0504] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022]
Abstract
Although there are some epigenome-wide association studies (EWAS) of insulin resistance, for most of them authors did not replicate their findings, and most are focused on populations of European ancestry, limiting the generalizability. In the Epigenetics in Pregnancy (EPIPREG; n = 294 Europeans and 162 South Asians) study, we conducted an EWAS of insulin resistance in maternal peripheral blood leukocytes, with replication in the Born in Bradford (n = 879; n = 430 Europeans and 449 South Asians), Methyl Epigenome Network Association (MENA) (n = 320), and Botnia (n = 56) cohorts. In EPIPREG, we identified six CpG sites inversely associated with insulin resistance across ancestry, of which five were replicated in independent cohorts (cg02988288, cg19693031, and cg26974062 in TXNIP; cg06690548 in SLC7A11; and cg04861640 in ZSCAN26). From methylation quantitative trait loci analysis in EPIPREG, we identified gene variants related to all five replicated cross-ancestry CpG sites, which were associated with several cardiometabolic phenotypes. Mediation analyses suggested that the gene variants regulate insulin resistance through DNA methylation. To conclude, our cross-ancestry EWAS identified five CpG sites related to lower insulin resistance.
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Affiliation(s)
- Nicolas Fragoso-Bargas
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Hannah R. Elliott
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Sindre Lee-Ødegård
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Julia O. Opsahl
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Line Sletner
- Department of Pediatric and Adolescents Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Anne Karen Jenum
- General Practice Research Unit (AFE), Department of General Practice, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Christian A. Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
- Vitas Ltd. Analytical Services, Oslo Science Park, Oslo, Norway
| | - Elisabeth Qvigstad
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Gunn-Helen Moen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, Queensland, Australia
- Department of Public Health and Nursing, K.G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Institute of Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Kåre I. Birkeland
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Rashmi B. Prasad
- Lund University Diabetes Centre, Malmö, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Christine Sommer
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
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10
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Bacos K, Perfilyev A, Karagiannopoulos A, Cowan E, Ofori JK, Bertonnier-Brouty L, Rönn T, Lindqvist A, Luan C, Ruhrmann S, Ngara M, Nilsson Å, Gheibi S, Lyons CL, Lagerstedt JO, Barghouth M, Esguerra JL, Volkov P, Fex M, Mulder H, Wierup N, Krus U, Artner I, Eliasson L, Prasad RB, Cataldo LR, Ling C. Type 2 diabetes candidate genes, including PAX5, cause impaired insulin secretion in human pancreatic islets. J Clin Invest 2023; 133:163612. [PMID: 36656641 PMCID: PMC9927941 DOI: 10.1172/jci163612] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 01/05/2023] [Indexed: 01/20/2023] Open
Abstract
Type 2 diabetes (T2D) is caused by insufficient insulin secretion from pancreatic β cells. To identify candidate genes contributing to T2D pathophysiology, we studied human pancreatic islets from approximately 300 individuals. We found 395 differentially expressed genes (DEGs) in islets from individuals with T2D, including, to our knowledge, novel (OPRD1, PAX5, TET1) and previously identified (CHL1, GLRA1, IAPP) candidates. A third of the identified expression changes in islets may predispose to diabetes, as expression of these genes associated with HbA1c in individuals not previously diagnosed with T2D. Most DEGs were expressed in human β cells, based on single-cell RNA-Seq data. Additionally, DEGs displayed alterations in open chromatin and associated with T2D SNPs. Mouse KO strains demonstrated that the identified T2D-associated candidate genes regulate glucose homeostasis and body composition in vivo. Functional validation showed that mimicking T2D-associated changes for OPRD1, PAX5, and SLC2A2 impaired insulin secretion. Impairments in Pax5-overexpressing β cells were due to severe mitochondrial dysfunction. Finally, we discovered PAX5 as a potential transcriptional regulator of many T2D-associated DEGs in human islets. Overall, we have identified molecular alterations in human pancreatic islets that contribute to β cell dysfunction in T2D pathophysiology.
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Affiliation(s)
- Karl Bacos
- Epigenetics and Diabetes Unit, Department of Clinical Sciences and
| | | | - Alexandros Karagiannopoulos
- Unit of Islet Cell Exocytosis, Department of Clinical Sciences, Lund University Diabetes Centre, Scania University Hospital, Malmö, Scania, Sweden
| | - Elaine Cowan
- Unit of Islet Cell Exocytosis, Department of Clinical Sciences, Lund University Diabetes Centre, Scania University Hospital, Malmö, Scania, Sweden
| | - Jones K. Ofori
- Epigenetics and Diabetes Unit, Department of Clinical Sciences and
| | - Ludivine Bertonnier-Brouty
- Endocrine Cell Differentiation, Department of Laboratory Medicine, Lund Stem Cell Center, Malmö, Scania, Sweden
| | - Tina Rönn
- Epigenetics and Diabetes Unit, Department of Clinical Sciences and
| | - Andreas Lindqvist
- Neuroendocrine Cell Biology, Department of Experimental Medical Science
| | - Cheng Luan
- Unit of Islet Pathophysiology, Department of Clinical Sciences
| | - Sabrina Ruhrmann
- Epigenetics and Diabetes Unit, Department of Clinical Sciences and
| | - Mtakai Ngara
- Neuroendocrine Cell Biology, Department of Experimental Medical Science
| | - Åsa Nilsson
- Human Tissue Lab, Department of Clinical Sciences
| | - Sevda Gheibi
- Molecular Metabolism Unit, Department of Clinical Sciences, and
| | - Claire L. Lyons
- Molecular Metabolism Unit, Department of Clinical Sciences, and
| | - Jens O. Lagerstedt
- Unit of Islet Cell Exocytosis, Department of Clinical Sciences, Lund University Diabetes Centre, Scania University Hospital, Malmö, Scania, Sweden
| | | | - Jonathan L.S. Esguerra
- Unit of Islet Cell Exocytosis, Department of Clinical Sciences, Lund University Diabetes Centre, Scania University Hospital, Malmö, Scania, Sweden
| | - Petr Volkov
- Epigenetics and Diabetes Unit, Department of Clinical Sciences and
| | - Malin Fex
- Molecular Metabolism Unit, Department of Clinical Sciences, and
| | - Hindrik Mulder
- Molecular Metabolism Unit, Department of Clinical Sciences, and
| | - Nils Wierup
- Neuroendocrine Cell Biology, Department of Experimental Medical Science
| | - Ulrika Krus
- Human Tissue Lab, Department of Clinical Sciences
| | - Isabella Artner
- Endocrine Cell Differentiation, Department of Laboratory Medicine, Lund Stem Cell Center, Malmö, Scania, Sweden
| | - Lena Eliasson
- Unit of Islet Cell Exocytosis, Department of Clinical Sciences, Lund University Diabetes Centre, Scania University Hospital, Malmö, Scania, Sweden
| | - Rashmi B. Prasad
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Lund University Diabetes Centre, Scania University Hospital, Malmö, Scania, Sweden.,Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, Finland
| | - Luis Rodrigo Cataldo
- Molecular Metabolism Unit, Department of Clinical Sciences, and,The Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Charlotte Ling
- Epigenetics and Diabetes Unit, Department of Clinical Sciences and
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11
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Fragoso-Bargas N, Page CM, Joubert BR, London SJ, Lee-Ødegård S, Opsahl JO, Sletner L, Jenum AK, Qvigstad E, Prasad RB, Moen GH, Birkeland KI, Sommer C. Epigenome-wide association study of serum folate in maternal peripheral blood leukocytes. Epigenomics 2023; 15:39-52. [PMID: 36974632 PMCID: PMC10072132 DOI: 10.2217/epi-2022-0427] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 03/02/2023] [Indexed: 03/29/2023] Open
Abstract
Aim: To perform an epigenome-wide association study (EWAS) of serum folate in maternal blood. Methods: Cross-ancestry (Europeans = 302, South Asians = 161) and ancestry-specific EWAS in the EPIPREG cohort were performed, followed by methyl quantitative trait loci analysis and association with cardiometabolic phenotypes. Replication was attempted using maternal folate intake and blood methylation data from the MoBa study and verified if the findings were significant in a previous EWAS of maternal serum folate in cord blood. Results & conclusion: cg19888088 (cross-ancestry) in EBF3, cg01952260 (Europeans) and cg07077240 (South Asians) in HERC3 were associated with serum folate. cg19888088 and cg01952260 were associated with diastolic blood pressure. cg07077240 was associated with variants in CASC15. The findings were not replicated and were not significant in cord blood.
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Affiliation(s)
- Nicolas Fragoso-Bargas
- Department of Endocrinology, Morbid Obesity & Preventive Medicine, Oslo University Hospital, 0424, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0318, Oslo, Norway
| | - Christian M Page
- Centre for Fertility & Health, Norwegian Institute of Public Health, 0403, Oslo, Norway
- Department of Mathematics, Faculty of Mathematics & Natural Sciences, University of Oslo, 0315, Oslo, Norway
| | - Bonnie R Joubert
- Department of Health & Human Services, Population Health Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709, USA
| | - Stephanie J London
- Department of Health & Human Services, Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Sindre Lee-Ødegård
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0318, Oslo, Norway
| | - Julia O Opsahl
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0318, Oslo, Norway
| | - Line Sletner
- Department of Pediatric & Adolescents Medicine, Akershus University Hospital, 1478, Lørenskog, Norway
| | - Anne K Jenum
- Department of General Practice, Institute of Health & Society, University of Oslo, 0318, Oslo, Norway
| | - Elisabeth Qvigstad
- Department of Endocrinology, Morbid Obesity & Preventive Medicine, Oslo University Hospital, 0424, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0318, Oslo, Norway
| | - Rashmi B Prasad
- Lund University Diabetes Centre, 214 28, Malmö, Sweden
- Institute for Molecular Medicine Finland FIMM, Helsinki University, 00014, Helsinki, Finland
| | - Gunn-Helen Moen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0318, Oslo, Norway
- Institute of Molecular Biosciences, The University of Queensland, St Lucia QLD 4072, Australia
- Department of Public Health & Nursing, K.G. Jebsen Center for Genetic Epidemiology, NTNU, Norwegian University of Science & Technology, 7491, Trondheim, Norway
- The Frazer Institute, The University of Queensland, 4102, Woolloongabba, Australia
- Population Health Sciences, Bristol Medical School, University of Bristol, BS8 1QU, Bristol, United Kingdom
| | - Kåre I Birkeland
- Department of Endocrinology, Morbid Obesity & Preventive Medicine, Oslo University Hospital, 0424, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0318, Oslo, Norway
| | - Christine Sommer
- Department of Endocrinology, Morbid Obesity & Preventive Medicine, Oslo University Hospital, 0424, Oslo, Norway
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12
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Pervjakova N, Moen GH, Borges MC, Ferreira T, Cook JP, Allard C, Beaumont RN, Canouil M, Hatem G, Heiskala A, Joensuu A, Karhunen V, Kwak SH, Lin FTJ, Liu J, Rifas-Shiman S, Tam CH, Tam WH, Thorleifsson G, Andrew T, Auvinen J, Bhowmik B, Bonnefond A, Delahaye F, Demirkan A, Froguel P, Haller-Kikkatalo K, Hardardottir H, Hummel S, Hussain A, Kajantie E, Keikkala E, Khamis A, Lahti J, Lekva T, Mustaniemi S, Sommer C, Tagoma A, Tzala E, Uibo R, Vääräsmäki M, Villa PM, Birkeland KI, Bouchard L, Duijn CM, Finer S, Groop L, Hämäläinen E, Hayes GM, Hitman GA, Jang HC, Järvelin MR, Jenum AK, Laivuori H, Ma RC, Melander O, Oken E, Park KS, Perron P, Prasad RB, Qvigstad E, Sebert S, Stefansson K, Steinthorsdottir V, Tuomi T, Hivert MF, Franks PW, McCarthy MI, Lindgren CM, Freathy RM, Lawlor DA, Morris AP, Mägi R. Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes. Hum Mol Genet 2022; 31:3377-3391. [PMID: 35220425 PMCID: PMC9523562 DOI: 10.1093/hmg/ddac050] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 02/09/2022] [Accepted: 02/23/2022] [Indexed: 11/12/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is associated with increased risk of pregnancy complications and adverse perinatal outcomes. GDM often reoccurs and is associated with increased risk of subsequent diagnosis of type 2 diabetes (T2D). To improve our understanding of the aetiological factors and molecular processes driving the occurrence of GDM, including the extent to which these overlap with T2D pathophysiology, the GENetics of Diabetes In Pregnancy Consortium assembled genome-wide association studies of diverse ancestry in a total of 5485 women with GDM and 347 856 without GDM. Through multi-ancestry meta-analysis, we identified five loci with genome-wide significant association (P < 5 × 10-8) with GDM, mapping to/near MTNR1B (P = 4.3 × 10-54), TCF7L2 (P = 4.0 × 10-16), CDKAL1 (P = 1.6 × 10-14), CDKN2A-CDKN2B (P = 4.1 × 10-9) and HKDC1 (P = 2.9 × 10-8). Multiple lines of evidence pointed to the shared pathophysiology of GDM and T2D: (i) four of the five GDM loci (not HKDC1) have been previously reported at genome-wide significance for T2D; (ii) significant enrichment for associations with GDM at previously reported T2D loci; (iii) strong genetic correlation between GDM and T2D and (iv) enrichment of GDM associations mapping to genomic annotations in diabetes-relevant tissues and transcription factor binding sites. Mendelian randomization analyses demonstrated significant causal association (5% false discovery rate) of higher body mass index on increased GDM risk. Our results provide support for the hypothesis that GDM and T2D are part of the same underlying pathology but that, as exemplified by the HKDC1 locus, there are genetic determinants of GDM that are specific to glucose regulation in pregnancy.
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Affiliation(s)
- Natalia Pervjakova
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Gunn-Helen Moen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Diamantina Institute, The University of Queensland, Woolloongabba QLD 4102, Australia
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Maria-Carolina Borges
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Teresa Ferreira
- Big Data Institute, Li Ka Shing Center for Health for Health Information and Discovery, Oxford University, Oxford, UK
| | - James P Cook
- Department of Health Data Science, University of Liverpool, Liverpool, UK
| | - Catherine Allard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Universite de Sherbrooke, Quebec, Canada
| | - Robin N Beaumont
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Mickaël Canouil
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille F-59000, France
- University of Lille, Lille University Hospital, Lille F-59000, France
| | - Gad Hatem
- Department of Clinical Sciences, Lund University, Skåne University Hospital, Lund University Diabetes Centre, Malmö SE-20502, Sweden
| | - Anni Heiskala
- Centre for Life-Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Anni Joensuu
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Ville Karhunen
- Centre for Life-Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, St Mary's Hospital, London, UK
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Frederick T J Lin
- Division of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Jun Liu
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sheryl Rifas-Shiman
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Claudia H Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, The People's Republic of China
| | - Wing Hung Tam
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, The People's Republic of China
| | | | - Toby Andrew
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille F-59000, France
- University of Lille, Lille University Hospital, Lille F-59000, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Juha Auvinen
- Centre for Life-Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Bishwajit Bhowmik
- Centre of Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh
| | - Amélie Bonnefond
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille F-59000, France
- University of Lille, Lille University Hospital, Lille F-59000, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Fabien Delahaye
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille F-59000, France
- University of Lille, Lille University Hospital, Lille F-59000, France
| | - Ayse Demirkan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Section of Statistical Multi-omics, Department of Clinical and Experimental Research, University of Surrey, Surrey, UK
| | - Philippe Froguel
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille F-59000, France
- University of Lille, Lille University Hospital, Lille F-59000, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Kadri Haller-Kikkatalo
- Department of Immunology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Hildur Hardardottir
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Livio Reykjavik, Reykjavik, Iceland
| | - Sandra Hummel
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, at Klinikum rechts der Isar, Munich, Germany
| | - Akhtar Hussain
- Centre of Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh
- Faculty of Health Sciences, Nord University, Bodø, Norway
| | - Eero Kajantie
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
- PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Elina Keikkala
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
- PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Amna Khamis
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille F-59000, France
- University of Lille, Lille University Hospital, Lille F-59000, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Jari Lahti
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Tove Lekva
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - Sanna Mustaniemi
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
- PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Christine Sommer
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Aili Tagoma
- Department of Immunology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Evangelia Tzala
- School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, St Mary's Hospital, London, UK
| | - Raivo Uibo
- Department of Immunology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Marja Vääräsmäki
- PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
| | - Pia M Villa
- Department of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Hyvinkää Hospital, Helsinki and Uusimaa Hospital District, Hyvinkää, Finland
| | - Kåre I Birkeland
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
| | - Luigi Bouchard
- Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, Universite de Sherbrooke, Quebec, Canada
- Department of Medical Biology, Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-St-Jean – Hôpital de Chicoutimi, Québec, Canada
| | - Cornelia M Duijn
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sarah Finer
- Centre for Genomics and Child Health, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Leif Groop
- Department of Clinical Sciences, Lund University, Skåne University Hospital, Lund University Diabetes Centre, Malmö SE-20502, Sweden
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Esa Hämäläinen
- Department of Clinical Chemistry, University of Eastern Finland, Kuopio, Finland
| | - Geoffrey M Hayes
- Division of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Anthropology, Northwestern University, Evanston, IL 60208, USA
| | - Graham A Hitman
- Centre for Genomics and Child Health, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Hak C Jang
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Marjo-Riitta Järvelin
- Centre for Life-Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, St Mary's Hospital, London, UK
| | - Anne Karen Jenum
- General Practice Research Unit (AFE), Department of General Practice, Institute of Health and Society, Faculty of Medicine, University of Oslo, Post Box 1130 Blindern, Oslo 0318, Norway
| | - Hannele Laivuori
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Department of Obstetrics and Gynecology, Tampere University, Hospital and Faculty of Medicine and Health Technology, Center for Child, Adolescent, and Maternal Health, Tampere University, Tampere, Finland
- Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Ronald C Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, The People's Republic of China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, The People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, The People's Republic of China
| | - Olle Melander
- Department of Clinical Sciences, Lund University, Skåne University Hospital, Lund University Diabetes Centre, Malmö SE-20502, Sweden
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
| | - Patrice Perron
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Universite de Sherbrooke, Quebec, Canada
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Sherbrook, Québec, Canada
| | - Rashmi B Prasad
- Department of Clinical Sciences, Lund University, Skåne University Hospital, Lund University Diabetes Centre, Malmö SE-20502, Sweden
| | - Elisabeth Qvigstad
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Sylvain Sebert
- Centre for Life-Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Kari Stefansson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | | | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Department of Clinical Sciences, Lund University, Skåne University Hospital, Lund University Diabetes Centre, Malmö SE-20502, Sweden
- Department of Endocrinology, Abdominal Centre, Helsinki University Hospital, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Sherbrook, Québec, Canada
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Paul W Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Cecilia M Lindgren
- Big Data Institute, Li Ka Shing Center for Health for Health Information and Discovery, Oxford University, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Program in Medical and Population Genetics, Broad Institute, Boston, MA, USA
| | - Rachel M Freathy
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Deborah A Lawlor
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol NIHR Biomedical Research Centre, Bristol, UK
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, UK
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
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13
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Atla G, Bonàs-Guarch S, Cuenca-Ardura M, Beucher A, Crouch DJM, Garcia-Hurtado J, Moran I, Irimia M, Prasad RB, Gloyn AL, Marselli L, Suleiman M, Berney T, de Koning EJP, Kerr-Conte J, Pattou F, Todd JA, Piemonti L, Ferrer J. Genetic regulation of RNA splicing in human pancreatic islets. Genome Biol 2022; 23:196. [PMID: 36109769 PMCID: PMC9479353 DOI: 10.1186/s13059-022-02757-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 08/23/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Non-coding genetic variants that influence gene transcription in pancreatic islets play a major role in the susceptibility to type 2 diabetes (T2D), and likely also contribute to type 1 diabetes (T1D) risk. For many loci, however, the mechanisms through which non-coding variants influence diabetes susceptibility are unknown. RESULTS We examine splicing QTLs (sQTLs) in pancreatic islets from 399 human donors and observe that common genetic variation has a widespread influence on the splicing of genes with established roles in islet biology and diabetes. In parallel, we profile expression QTLs (eQTLs) and use transcriptome-wide association as well as genetic co-localization studies to assign islet sQTLs or eQTLs to T2D and T1D susceptibility signals, many of which lack candidate effector genes. This analysis reveals biologically plausible mechanisms, including the association of T2D with an sQTL that creates a nonsense isoform in ERO1B, a regulator of ER-stress and proinsulin biosynthesis. The expanded list of T2D risk effector genes reveals overrepresented pathways, including regulators of G-protein-mediated cAMP production. The analysis of sQTLs also reveals candidate effector genes for T1D susceptibility such as DCLRE1B, a senescence regulator, and lncRNA MEG3. CONCLUSIONS These data expose widespread effects of common genetic variants on RNA splicing in pancreatic islets. The results support a role for splicing variation in diabetes susceptibility, and offer a new set of genetic targets with potential therapeutic benefit.
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Affiliation(s)
- Goutham Atla
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en red Diabetes y enfermedades metabólicas asociadas (CIBERDEM), Barcelona, Spain
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Silvia Bonàs-Guarch
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
- Centro de Investigación Biomédica en red Diabetes y enfermedades metabólicas asociadas (CIBERDEM), Barcelona, Spain.
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
| | - Mirabai Cuenca-Ardura
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en red Diabetes y enfermedades metabólicas asociadas (CIBERDEM), Barcelona, Spain
| | - Anthony Beucher
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en red Diabetes y enfermedades metabólicas asociadas (CIBERDEM), Barcelona, Spain
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Daniel J M Crouch
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Javier Garcia-Hurtado
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en red Diabetes y enfermedades metabólicas asociadas (CIBERDEM), Barcelona, Spain
| | - Ignasi Moran
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Present Address: Life Sciences Department, Barcelona Supercomputing Center (BSC), 08034, Barcelona, Spain
| | - Manuel Irimia
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Rashmi B Prasad
- Lund University Diabetes Centre, Clinical Research Center, Malmö, Sweden
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Anna L Gloyn
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Department of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA, USA
| | - Lorella Marselli
- Department of Clinical and Experimental Medicine, AOUP Cisanello University Hospital, University of Pisa, Pisa, Italy
| | - Mara Suleiman
- Department of Clinical and Experimental Medicine, AOUP Cisanello University Hospital, University of Pisa, Pisa, Italy
| | - Thierry Berney
- Cell Isolation and Transplantation Center, University of Geneva, Geneva, Switzerland
| | - Eelco J P de Koning
- Department of Medicine, Leiden University Medical Center, Leiden, the Netherlands
- Hubrecht Institute/KNAW, Utrecht, the Netherlands
| | - Julie Kerr-Conte
- University of Lille, Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de Lille (CHU Lille), Institute Pasteur Lille, U1190 -European Genomic Institute for Diabetes (EGID), F59000, Lille, France
| | - Francois Pattou
- University of Lille, Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de Lille (CHU Lille), Institute Pasteur Lille, U1190 -European Genomic Institute for Diabetes (EGID), F59000, Lille, France
| | - John A Todd
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Lorenzo Piemonti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele and Università Vita-Salute San Raffaele, Milan, Italy
| | - Jorge Ferrer
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
- Centro de Investigación Biomédica en red Diabetes y enfermedades metabólicas asociadas (CIBERDEM), Barcelona, Spain.
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
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14
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Asplund O, Storm P, Chandra V, Hatem G, Ottosson-Laakso E, Mansour-Aly D, Krus U, Ibrahim H, Ahlqvist E, Tuomi T, Renström E, Korsgren O, Wierup N, Ibberson M, Solimena M, Marchetti P, Wollheim C, Artner I, Mulder H, Hansson O, Otonkoski T, Groop L, Prasad RB. Islet Gene View-a tool to facilitate islet research. Life Sci Alliance 2022; 5:e202201376. [PMID: 35948367 PMCID: PMC9366203 DOI: 10.26508/lsa.202201376] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 07/18/2022] [Accepted: 07/18/2022] [Indexed: 01/27/2023] Open
Abstract
Characterization of gene expression in pancreatic islets and its alteration in type 2 diabetes (T2D) are vital in understanding islet function and T2D pathogenesis. We leveraged RNA sequencing and genome-wide genotyping in islets from 188 donors to create the Islet Gene View (IGW) platform to make this information easily accessible to the scientific community. Expression data were related to islet phenotypes, diabetes status, other islet-expressed genes, islet hormone-encoding genes and for expression in insulin target tissues. The IGW web application produces output graphs for a particular gene of interest. In IGW, 284 differentially expressed genes (DEGs) were identified in T2D donor islets compared with controls. Forty percent of DEGs showed cell-type enrichment and a large proportion significantly co-expressed with islet hormone-encoding genes; glucagon (<i>GCG</i>, 56%), amylin (<i>IAPP</i>, 52%), insulin (<i>INS</i>, 44%), and somatostatin (<i>SST</i>, 24%). Inhibition of two DEGs, <i>UNC5D</i> and <i>SERPINE2</i>, impaired glucose-stimulated insulin secretion and impacted cell survival in a human β-cell model. The exploratory use of IGW could help designing more comprehensive functional follow-up studies and serve to identify therapeutic targets in T2D.
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Affiliation(s)
- Olof Asplund
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
| | - Petter Storm
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
- Department of Experimental Medical Science, Developmental and Regenerative Neurobiology, Wallenberg Neuroscience Center, Lund, Sweden
| | - Vikash Chandra
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Gad Hatem
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
| | - Emilia Ottosson-Laakso
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
| | - Dina Mansour-Aly
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
| | - Ulrika Krus
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
| | - Hazem Ibrahim
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Emma Ahlqvist
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
| | - Tiinamaija Tuomi
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
- Department of Endocrinology, Abdominal Centre, Helsinki University Hospital, Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Erik Renström
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
| | - Olle Korsgren
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
- Department of Clinical Chemistry and Transfusion Medicine, Institute of Biomedicine, University of Gothenburg, Gothenburg, Sweden
| | - Nils Wierup
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
| | - Mark Ibberson
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Michele Solimena
- Paul Langerhans Institute Dresden of the Helmholtz Center, Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
- Max Planck Institute of Molecular Cell Biology and Genetics, (MPI-CBG), Dresden, Germany
| | - Piero Marchetti
- Department of Clinical and Experimental Medicine, Cisanello, University Hospital, University of Pisa, Pisa, Italy
| | - Claes Wollheim
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
- Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Isabella Artner
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
| | - Hindrik Mulder
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
| | - Ola Hansson
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Timo Otonkoski
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Children's Hospital, Helsinki University Hospital, Helsinki, Finland
| | - Leif Groop
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Rashmi B Prasad
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Lund University Diabetes Centre (LUDC), Lund, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Human Tissue Laboratory at Lund University Diabetes Centre, Lund, Sweden
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15
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Fedotkina O, Jain R, Prasad RB, Luk A, García-Ramírez M, Özgümüs T, Cherviakova L, Khalimon N, Svietleisha T, Buldenko T, Kravchenko V, Jain D, Vaag A, Chan J, Khalangot MD, Hernández C, Nilsson PM, Simo R, Artner I, Lyssenko V. Neuronal Dysfunction Is Linked to the Famine-Associated Risk of Proliferative Retinopathy in Patients With Type 2 Diabetes. Front Neurosci 2022; 16:858049. [PMID: 35600617 PMCID: PMC9119187 DOI: 10.3389/fnins.2022.858049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
Persons with type 2 diabetes born in the regions of famine exposures have disproportionally elevated risk of vision-threatening proliferative diabetic retinopathy (PDR) in adulthood. However, the underlying mechanisms are not known. In the present study, we aimed to investigate the plausible molecular factors underlying progression to PDR. To study the association of genetic variants with PDR under the intrauterine famine exposure, we analyzed single nucleotide polymorphisms (SNPs) that were previously reported to be associated with type 2 diabetes, glucose, and pharmacogenetics. Analyses were performed in the population from northern Ukraine with a history of exposure to the Great Ukrainian Holodomor famine [the Diagnostic Optimization and Treatment of Diabetes and its Complications in the Chernihiv Region (DOLCE study), n = 3,583]. A validation of the top genetic findings was performed in the Hong Kong diabetes registry (HKDR, n = 730) with a history of famine as a consequence of the Japanese invasion during WWII. In DOLCE, the genetic risk for PDR was elevated for the variants in ADRA2A, PCSK9, and CYP2C19*2 loci, but reduced at PROX1 locus. The association of ADRA2A loci with the risk of advanced diabetic retinopathy in famine-exposed group was further replicated in HKDR. The exposure of embryonic retinal cells to starvation for glucose, mimicking the perinatal exposure to famine, resulted in sustained increased expression of Adra2a and Pcsk9, but decreased Prox1. The exposure to starvation exhibited a lasting inhibitory effects on neurite outgrowth, as determined by neurite length. In conclusion, a consistent genetic findings on the famine-linked risk of ADRA2A with PDR indicate that the nerves may likely to be responsible for communicating the effects of perinatal exposure to famine on the elevated risk of advanced stages of diabetic retinopathy in adults. These results suggest the possibility of utilizing neuroprotective drugs for the prevention and treatment of PDR.
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Affiliation(s)
- Olena Fedotkina
- Department of Clinical Science, Center for Diabetes Research, University of Bergen, Bergen, Norway
| | - Ruchi Jain
- Department of Clinical Sciences, Lund University Diabetes Center, Skane University Hospital, Malmö, Sweden
| | - Rashmi B. Prasad
- Department of Clinical Sciences, Lund University Diabetes Center, Skane University Hospital, Malmö, Sweden
| | - Andrea Luk
- Prince of Wales Hospital, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | | | - Türküler Özgümüs
- Department of Clinical Science, Center for Diabetes Research, University of Bergen, Bergen, Norway
| | | | | | | | - Tetiana Buldenko
- Department of Health Care of Chernihiv Regional State Administration, Chernihiv, Ukraine
| | - Victor Kravchenko
- Komisarenko Institute of Endocrinology and Metabolism, Kyiv, Ukraine
| | - Deepak Jain
- Department of Clinical Sciences, Lund University Diabetes Center, Skane University Hospital, Malmö, Sweden
| | - Allan Vaag
- Steno Diabetes Center Copenhagen, Copenhagen, Denmark
| | - Juliana Chan
- Prince of Wales Hospital, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Mykola D. Khalangot
- Komisarenko Institute of Endocrinology and Metabolism, Kyiv, Ukraine
- Shupyk National Healthcare University of Ukraine, Kyiv, Ukraine
| | | | - Peter M. Nilsson
- Department of Clinical Sciences, Lund University Diabetes Center, Skane University Hospital, Malmö, Sweden
| | - Rafael Simo
- Vall d’Hebron Research Institute and CIBERDEM, Barcelona, Spain
| | - Isabella Artner
- Department of Clinical Sciences, Lund University Diabetes Center, Skane University Hospital, Malmö, Sweden
| | - Valeriya Lyssenko
- Department of Clinical Science, Center for Diabetes Research, University of Bergen, Bergen, Norway
- Department of Clinical Sciences, Lund University Diabetes Center, Skane University Hospital, Malmö, Sweden
- *Correspondence: Valeriya Lyssenko,
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16
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Hatem G, Hjort L, Asplund O, Minja DTR, Msemo OA, Møller SL, Lavstsen T, Groth-Grunnet L, Lusingu JPA, Hansson O, Christensen DL, Vaag AA, Artner I, Theander T, Groop L, Schmiegelow C, Bygbjerg IC, Prasad RB. Mapping the Cord Blood Transcriptome of Pregnancies Affected by Early Maternal Anemia to Identify Signatures of Fetal Programming. J Clin Endocrinol Metab 2022; 107:1303-1316. [PMID: 35021220 PMCID: PMC9016468 DOI: 10.1210/clinem/dgac010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Anemia during early pregnancy (EP) is common in developing countries and is associated with adverse health consequences for both mothers and children. Offspring of women with EP anemia often have low birth weight, which increases risk for cardiometabolic diseases, including type 2 diabetes (T2D), later in life. OBJECTIVE We aimed to elucidate mechanisms underlying developmental programming of adult cardiometabolic disease, including epigenetic and transcriptional alterations potentially detectable in umbilical cord blood (UCB) at time of birth. METHODS We leveraged global transcriptome- and accompanying epigenome-wide changes in 48 UCB from newborns of EP anemic Tanzanian mothers and 50 controls to identify differentially expressed genes (DEGs) in UCB exposed to maternal EP anemia. DEGs were assessed for association with neonatal anthropometry and cord insulin levels. These genes were further studied in expression data from human fetal pancreas and adult islets to understand their role in beta-cell development and/or function. RESULTS The expression of 137 genes was altered in UCB of newborns exposed to maternal EP anemia. These putative signatures of fetal programming, which included the birth weight locus LCORL, were potentially mediated by epigenetic changes in 27 genes and associated with neonatal anthropometry. Among the DEGs were P2RX7, PIK3C2B, and NUMBL, which potentially influence beta-cell development. Insulin levels were lower in EP anemia-exposed UCB, supporting the notion of developmental programming of pancreatic beta-cell dysfunction and subsequently increased risk of T2D in offspring of mothers with EP anemia. CONCLUSIONS Our data provide proof-of-concept on distinct transcriptional and epigenetic changes detectable in UCB from newborns exposed to maternal EP anemia.
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Affiliation(s)
- Gad Hatem
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Clinical Research Centre, Lund University Diabetes Centre, 205 02, Malmö, Sweden
| | - Line Hjort
- Department of Obstetrics, Center for Pregnant Women with Diabetes, Rigshospitalet, 2100 Copenhagen, Denmark
- Department of Endocrinology (Diabetes and Bone-Metabolic Research Unit), 2100 Copenhagen, Denmark
| | - Olof Asplund
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Clinical Research Centre, Lund University Diabetes Centre, 205 02, Malmö, Sweden
| | - Daniel T R Minja
- National Institute for Medical Research, Tanga Center, 0255 Tanga, Tanzania
| | - Omari Abdul Msemo
- National Institute for Medical Research, Tanga Center, 0255 Tanga, Tanzania
| | - Sofie Lykke Møller
- Section of Global Health, Department of Public Health, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Thomas Lavstsen
- Center for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Louise Groth-Grunnet
- Department of Endocrinology (Diabetes and Bone-Metabolic Research Unit), 2100 Copenhagen, Denmark
- Section of Global Health, Department of Public Health, University of Copenhagen, 1353 Copenhagen, Denmark
| | - John P A Lusingu
- National Institute for Medical Research, Tanga Center, 0255 Tanga, Tanzania
- Center for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Ola Hansson
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Clinical Research Centre, Lund University Diabetes Centre, 205 02, Malmö, Sweden
| | - Dirk Lund Christensen
- Section of Global Health, Department of Public Health, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Allan A Vaag
- Steno Diabetes Center Copenhagen, 2730 Gentofte, Denmark
| | - Isabella Artner
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Clinical Research Centre, Lund University Diabetes Centre, 205 02, Malmö, Sweden
| | - Thor Theander
- Center for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Leif Groop
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Clinical Research Centre, Lund University Diabetes Centre, 205 02, Malmö, Sweden
- Finnish Institute of Molecular Medicine (FIMM), 00290 Helsinki, Finland
| | - Christentze Schmiegelow
- Center for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Ib Christian Bygbjerg
- Section of Global Health, Department of Public Health, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Rashmi B Prasad
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Clinical Research Centre, Lund University Diabetes Centre, 205 02, Malmö, Sweden
- Finnish Institute of Molecular Medicine (FIMM), 00290 Helsinki, Finland
- Correspondence: Rashmi B Prasad, PhD, Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Clinical Research Centre, Lund University Diabetes Centre, Jan Waldenströms gata 35, 205 02 Malmö, Sweden.
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17
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Karagiannopoulos A, Esguerra JL, Pedersen MG, Wendt A, Prasad RB, Eliasson L. Human pancreatic islet miRNA-mRNA networks of altered miRNAs due to glycemic status. iScience 2022; 25:103995. [PMID: 35310942 PMCID: PMC8927907 DOI: 10.1016/j.isci.2022.103995] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/25/2022] [Accepted: 02/24/2022] [Indexed: 12/24/2022] Open
Abstract
MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene expression via mRNA targeting, playing important roles in the pancreatic islets. We aimed to identify molecular pathways and genomic regulatory regions associated with altered miRNA expression due to glycemic status, which could contribute to the development of type 2 diabetes (T2D). To this end, miRNAs were identified by a combination of differential miRNA expression and correlation analysis in human islet samples from donors with normal and elevated blood glucose levels. Analysis and clustering of highly correlated, experimentally validated gene targets of these miRNAs revealed two islet-specific clusters, which were associated with key aspects of islet functions and included a high number of T2D-related genes. Finally, cis-eQTLs and public GWAS data integration uncovered suggestive genomic signals of association with insulin secretion and T2D. The miRNA-driven network-based approach presented in this study contributes to a better understanding of impaired insulin secretion in T2D pathogenesis. Network-based islet miRNA approaches provide a better insight into T2D pathogenesis Islets from healthy and hyperglycemic donors have distinct miRNA profiles Differentially expressed miRNAs regulate gene networks that affect islet function Specific miRNA eQTLs overlap with insulin secretion and T2D genetic markers
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Affiliation(s)
- Alexandros Karagiannopoulos
- Islet Cell Exocytosis, Lund University Diabetes Centre, Department of Clinical Sciences-Malmö, Lund University, CRC 91-11, Box 50332, 202 13 Malmö, Sweden
- Clinical Research Centre, Skåne University Hospital, CRC 91-11, Box 50332, 202 13 Malmö, Sweden
| | - Jonathan L.S. Esguerra
- Islet Cell Exocytosis, Lund University Diabetes Centre, Department of Clinical Sciences-Malmö, Lund University, CRC 91-11, Box 50332, 202 13 Malmö, Sweden
- Clinical Research Centre, Skåne University Hospital, CRC 91-11, Box 50332, 202 13 Malmö, Sweden
| | - Morten G. Pedersen
- Department of Information Engineering, University of Padova, Padua, Italy
| | - Anna Wendt
- Islet Cell Exocytosis, Lund University Diabetes Centre, Department of Clinical Sciences-Malmö, Lund University, CRC 91-11, Box 50332, 202 13 Malmö, Sweden
- Clinical Research Centre, Skåne University Hospital, CRC 91-11, Box 50332, 202 13 Malmö, Sweden
| | - Rashmi B. Prasad
- Clinical Research Centre, Skåne University Hospital, CRC 91-11, Box 50332, 202 13 Malmö, Sweden
- Genomics, Diabetes and Endocrinology, Lund University Diabetes Centre Department of Clinical Sciences-Malmö, Lund University, Malmö, Sweden
| | - Lena Eliasson
- Islet Cell Exocytosis, Lund University Diabetes Centre, Department of Clinical Sciences-Malmö, Lund University, CRC 91-11, Box 50332, 202 13 Malmö, Sweden
- Clinical Research Centre, Skåne University Hospital, CRC 91-11, Box 50332, 202 13 Malmö, Sweden
- Corresponding author
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18
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Fedotkina O, Luk A, Jain R, Prasad RB, Shungin D, Simó‐Servat O, Özgümüs T, Cherviakova L, Khalimon N, Svietleisha T, Buldenko T, Kravchenko V, Hernández C, Jain D, Simo R, Artner I, Nilsson PM, Khalangot MD, Vaiserman AM, Chan J, Vaag A, Lyssenko V. Perinatal famine is associated with excess risk of proliferative retinopathy in patients with type 2 diabetes. Acta Ophthalmol 2022; 100:e539-e545. [PMID: 34169655 DOI: 10.1111/aos.14948] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 05/31/2021] [Indexed: 12/15/2022]
Abstract
PURPOSE Intrauterine undernutrition is associated with increased risk of type 2 diabetes. Children born premature or small for gestational age were reported to have abnormal retinal vascularization. However, whether intrauterine famine act as a trigger for diabetes complications, including retinopathy, is unknown. The aim of the current study was to evaluate long-term effects of perinatal famine on the risk of proliferative diabetic retinopathy (PDR). METHODS We studied the risk for PDR among type 2 diabetes patients exposed to perinatal famine in two independent cohorts: the Ukrainian National Diabetes Registry (UNDR) and the Hong Kong Diabetes Registry (HKDR). We analysed individuals born during the Great Famine (the Holodomor, 1932-1933) and the WWII (1941-1945) famine in 101 095 (3601 had PDR) UNDR participants. Among 3021 (251 had PDR) HKDR participants, we studied type 2 diabetes patients exposed to perinatal famine during the WWII Japanese invasion in 1942-1945. RESULTS During the Holodomor and WWII, perinatal famine was associated with a 1.76-fold (p = 0.019) and 3.02-fold (p = 0.001) increased risk of severe PDR in the UNDR. The risk for PDR was 1.66-fold elevated among individuals born in 1942 in the HKDR (p < 0.05). The associations between perinatal famine and PDR remained statistically significant after corrections for HbA1c in available 18 507 UNDR (padditive interaction < 0.001) and in 3021 HKDR type 2 diabetes patients (p < 0.05). CONCLUSION In conclusion, type 2 diabetes patients, exposed to perinatal famine, have increased risk of PDR compared to those without perinatal famine exposure. Further studies are needed to understand the underlying mechanisms and to extend this finding to other diabetes complications.
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Affiliation(s)
- Olena Fedotkina
- Department of Clinical Science Center for Diabetes Research University of Bergen Bergen Norway
| | - Andrea Luk
- Hong Kong Institute of Diabetes and Obesity Prince of Wales Hospital The Chinese University of Hong Kong Hong Kong SAR China
| | - Ruchi Jain
- Department of Clinical Sciences Lund University Diabetes Center Skåne University Hospital Malmoe Sweden
| | - Rashmi B. Prasad
- Department of Clinical Sciences Lund University Diabetes Center Skåne University Hospital Malmoe Sweden
| | - Dmitry Shungin
- Broad Institute of Harvard and MIT Cambridge MA USA
- Institute of Odontology Umeå University Umeå Sweden
| | - Olga Simó‐Servat
- Vall d'Hebron Research Institute Universitat Autònoma de Barcelona and CIBERDEM Barcelona Spain
| | - Türküler Özgümüs
- Department of Clinical Science Center for Diabetes Research University of Bergen Bergen Norway
| | | | | | | | - Tetiana Buldenko
- Department of Health Care of Chernihiv Regional State Administration Chernihiv Ukraine
| | | | - Cristina Hernández
- Vall d'Hebron Research Institute Universitat Autònoma de Barcelona and CIBERDEM Barcelona Spain
| | - Deepak Jain
- Department of Clinical Sciences Lund University Diabetes Center Skåne University Hospital Malmoe Sweden
| | - Rafael Simo
- Vall d'Hebron Research Institute Universitat Autònoma de Barcelona and CIBERDEM Barcelona Spain
| | - Isabella Artner
- Department of Clinical Sciences Lund University Diabetes Center Skåne University Hospital Malmoe Sweden
| | - Peter M. Nilsson
- Department of Clinical Sciences Lund University Diabetes Center Skåne University Hospital Malmoe Sweden
| | - Mykola D. Khalangot
- Komisarenko Institute of Endocrinology and Metabolism Kyiv Ukraine
- Shupyk National Medical Academy of Postgraduate Education Kyiv Ukraine
| | | | - Juliana Chan
- Hong Kong Institute of Diabetes and Obesity Prince of Wales Hospital The Chinese University of Hong Kong Hong Kong SAR China
| | - Allan Vaag
- Steno Diabetes Center Copenhagen Copenhagen Denmark
| | - Valeriya Lyssenko
- Department of Clinical Science Center for Diabetes Research University of Bergen Bergen Norway
- Department of Clinical Sciences Lund University Diabetes Center Skåne University Hospital Malmoe Sweden
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19
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Cataldo LR, Singh T, Achanta K, Bsharat S, Prasad RB, Luan C, Renström E, Eliasson L, Artner I. MAFA and MAFB regulate exocytosis-related genes in human β-cells. Acta Physiol (Oxf) 2022; 234:e13761. [PMID: 34978761 DOI: 10.1111/apha.13761] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 12/22/2021] [Accepted: 01/01/2022] [Indexed: 12/13/2022]
Abstract
AIMS Reduced expression of exocytotic genes is associated with functional defects in insulin exocytosis contributing to impaired insulin secretion and type 2 diabetes (T2D) development. MAFA and MAFB transcription factors regulate β-cell physiology, and their gene expression is reduced in T2D β cells. We investigate if loss of MAFA and MAFB in human β cells contributes to T2D progression by regulating genes required for insulin exocytosis. METHODS Three approaches were performed: (1) RNAseq analysis with the focus on exocytosis-related genes in MafA-/- mouse islets, (2) correlational analysis between MAFA, MAFB and exocytosis-related genes in human islets and (3) MAFA and MAFB silencing in human islets and EndoC-βH1 cells followed by functional in vitro studies. RESULTS The expression of 30 exocytosis-related genes was significantly downregulated in MafA-/- mouse islets. In human islets, the expression of 29 exocytosis-related genes correlated positively with MAFA and MAFB. Eight exocytosis-related genes were downregulated in MafA-/- mouse islets and positively correlated with MAFA and MAFB in human islets. From this analysis, the expression of RAB3A, STXBP1, UNC13A, VAMP2, NAPA, NSF, STX1A and SYT7 was quantified after acute MAFA or MAFB silencing in EndoC-βH1 cells and human islets. MAFA and MAFB silencing resulted in impaired insulin secretion and reduced STX1A, SYT7 and STXBP1 (EndoC-βH1) and STX1A (human islets) mRNA expression. STX1A and STXBP1 protein expression was also impaired in islets from T2D donors which lack MAFA expression. CONCLUSION Our data indicate that STXBP1 and STX1A are important MAFA/B-regulated exocytosis genes which may contribute to insulin exocytosis defects observed in MAFA-deficient human T2D β cells.
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Affiliation(s)
- Luis Rodrigo Cataldo
- Endocrine Cell Differentiation and Function Group Stem Cell Centre Lund University Lund Sweden
- Lund University Diabetes Centre Clinical Research Center Malmo Sweden
- The Novo Nordisk Foundation Centre for Basic Metabolic Research Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark
| | - Tania Singh
- Endocrine Cell Differentiation and Function Group Stem Cell Centre Lund University Lund Sweden
- Lund University Diabetes Centre Clinical Research Center Malmo Sweden
| | - Kavya Achanta
- Endocrine Cell Differentiation and Function Group Stem Cell Centre Lund University Lund Sweden
- Lund University Diabetes Centre Clinical Research Center Malmo Sweden
| | - Sara Bsharat
- Endocrine Cell Differentiation and Function Group Stem Cell Centre Lund University Lund Sweden
- Lund University Diabetes Centre Clinical Research Center Malmo Sweden
| | - Rashmi B. Prasad
- Lund University Diabetes Centre Clinical Research Center Malmo Sweden
- Department of Clinical Sciences in Malmö Malmo Sweden
| | - Cheng Luan
- Lund University Diabetes Centre Clinical Research Center Malmo Sweden
| | - Erik Renström
- Lund University Diabetes Centre Clinical Research Center Malmo Sweden
| | - Lena Eliasson
- Lund University Diabetes Centre Clinical Research Center Malmo Sweden
- Department of Clinical Sciences in Malmö Malmo Sweden
- Islet Cell Exocytosis Lund University Lund Sweden
| | - Isabella Artner
- Endocrine Cell Differentiation and Function Group Stem Cell Centre Lund University Lund Sweden
- Lund University Diabetes Centre Clinical Research Center Malmo Sweden
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20
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Prasad RB, Asplund O, Shukla SR, Wagh R, Kunte P, Bhat D, Parekh M, Shah M, Phatak S, Käräjämäki A, Datta A, Kakati S, Tuomi T, Saboo B, Ahlqvist E, Groop L, Yajnik CS. Subgroups of patients with young-onset type 2 diabetes in India reveal insulin deficiency as a major driver. Diabetologia 2022; 65:65-78. [PMID: 34689214 PMCID: PMC8660725 DOI: 10.1007/s00125-021-05543-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 06/08/2021] [Indexed: 12/15/2022]
Abstract
AIM/HYPOTHESIS Five subgroups were described in European diabetes patients using a data driven machine learning approach on commonly measured variables. We aimed to test the applicability of this phenotyping in Indian individuals with young-onset type 2 diabetes. METHODS We applied the European-derived centroids to Indian individuals with type 2 diabetes diagnosed before 45 years of age from the WellGen cohort (n = 1612). We also applied de novo k-means clustering to the WellGen cohort to validate the subgroups. We then compared clinical and metabolic-endocrine characteristics and the complication rates between the subgroups. We also compared characteristics of the WellGen subgroups with those of two young European cohorts, ANDIS (n = 962) and DIREVA (n = 420). Subgroups were also assessed in two other Indian cohorts, Ahmedabad (n = 187) and PHENOEINDY-2 (n = 205). RESULTS Both Indian and European young-onset type 2 diabetes patients were predominantly classified into severe insulin-deficient (SIDD) and mild obesity-related (MOD) subgroups, while the severe insulin-resistant (SIRD) and mild age-related (MARD) subgroups were rare. In WellGen, SIDD (53%) was more common than MOD (38%), contrary to findings in Europeans (Swedish 26% vs 68%, Finnish 24% vs 71%, respectively). A higher proportion of SIDD compared with MOD was also seen in Ahmedabad (57% vs 33%) and in PHENOEINDY-2 (67% vs 23%). Both in Indians and Europeans, the SIDD subgroup was characterised by insulin deficiency and hyperglycaemia, MOD by obesity, SIRD by severe insulin resistance and MARD by mild metabolic-endocrine disturbances. In WellGen, nephropathy and retinopathy were more prevalent in SIDD compared with MOD while the latter had higher prevalence of neuropathy. CONCLUSIONS /INTERPRETATION Our data identified insulin deficiency as the major driver of type 2 diabetes in young Indians, unlike in young European individuals in whom obesity and insulin resistance predominate. Our results provide useful clues to pathophysiological mechanisms and susceptibility to complications in type 2 diabetes in the young Indian population and suggest a need to review management strategies.
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Affiliation(s)
- Rashmi B Prasad
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö, Sweden.
| | - Olof Asplund
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö, Sweden
| | - Sharvari R Shukla
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
- Symbiosis Statistical Institute, Symbiosis International University, Pune, India
| | - Rucha Wagh
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
| | - Pooja Kunte
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
| | - Dattatrey Bhat
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
| | - Malay Parekh
- Dia Care - Diabetes Hormone Clinic, Ahmedabad, India
| | - Meet Shah
- Dia Care - Diabetes Hormone Clinic, Ahmedabad, India
| | - Sanat Phatak
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
| | - Annemari Käräjämäki
- Department of Primary Health Care, Vaasa Central Hospital, Vaasa, Finland
- Diabetes Center, Vaasa Health Care Center, Vaasa, Finland
| | - Anupam Datta
- Assam Medical College and Hospital, Dibrugarh, India
| | | | - Tiinamaija Tuomi
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö, Sweden
- Abdominal Center, Endocrinology, Helsinki University Central Hospital, Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, Helsinki University, 00290, Helsinki, Finland
| | - Banshi Saboo
- Dia Care - Diabetes Hormone Clinic, Ahmedabad, India
| | - Emma Ahlqvist
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö, Sweden
| | - Leif Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö, Sweden
- Institute for Molecular Medicine Finland FIMM, Helsinki University, 00290, Helsinki, Finland
| | - Chittaranjan S Yajnik
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India.
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21
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Prasad RB, Asplund O, Shukla SR, Wagh R, Kunte P, Bhat D, Parekh M, Shah M, Phatak S, Käräjämäki A, Datta A, Kakati S, Tuomi T, Saboo B, Ahlqvist E, Groop L, Yajnik CS. Correction to: Subgroups of patients with young-onset type 2 diabetes in India reveal insulin deficiency as a major driver. Diabetologia 2022; 65:254. [PMID: 34807304 PMCID: PMC9172718 DOI: 10.1007/s00125-021-05620-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Rashmi B Prasad
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö, Sweden.
| | - Olof Asplund
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö, Sweden
| | - Sharvari R Shukla
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
- Symbiosis Statistical Institute, Symbiosis International University, Pune, India
| | - Rucha Wagh
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
| | - Pooja Kunte
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
| | - Dattatrey Bhat
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
| | - Malay Parekh
- Dia Care - Diabetes Hormone Clinic, Ahmedabad, India
| | - Meet Shah
- Dia Care - Diabetes Hormone Clinic, Ahmedabad, India
| | - Sanat Phatak
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
| | - Annemari Käräjämäki
- Department of Primary Health Care, Vaasa Central Hospital, Vaasa, Finland
- Diabetes Center, Vaasa Health Care Center, Vaasa, Finland
| | - Anupam Datta
- Assam Medical College and Hospital, Dibrugarh, India
| | | | - Tiinamaija Tuomi
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö, Sweden
- Abdominal Center, Endocrinology, Helsinki University Central Hospital, Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, Helsinki University, 00290, Helsinki, Finland
| | - Banshi Saboo
- Dia Care - Diabetes Hormone Clinic, Ahmedabad, India
| | - Emma Ahlqvist
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö, Sweden
| | - Leif Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, CRC, Lund University, Malmö, Sweden
- Institute for Molecular Medicine Finland FIMM, Helsinki University, 00290, Helsinki, Finland
| | - Chittaranjan S Yajnik
- Diabetes Unit, Kamalnayan Bajaj Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India.
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22
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Ahlqvist E, Prasad RB, Groop L. 100 YEARS OF INSULIN: Towards improved precision and a new classification of diabetes mellitus. J Endocrinol 2021; 252:R59-R70. [PMID: 34783681 DOI: 10.1530/joe-20-0596] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 11/09/2021] [Indexed: 11/08/2022]
Abstract
Type 2 diabetes (T2D) is one of the fastest increasing diseases worldwide. Although it is defined by a single metabolite, glucose, it is increasingly recognized as a highly heterogeneous disease with varying clinical manifestations. Identification of different subtypes at an early stage of disease when complications might still be prevented could hopefully allow for more personalized medicine. An important step toward precision medicine would be to target the right resources to the right patients, thereby improving patient health and reducing health costs for the society. More well-defined disease populations also offer increased power in experimental, genetic and clinical studies. In a recent study, we used six clinical variables (glutamate decarboxylase autoantibodies, age at onset of diabetes, glycated hemoglobin, BMI and simple measures of insulin resistance and insulin secretion (so called HOMA estimates) to cluster adult-onset diabetes patients into five subgroups. These subgroups have been robustly reproduced in several populations worldwide and are associated with different risks of diabetic complications and responses to treatment. Importantly, the group with severe insulin-deficient diabetes had increased risk of retinopathy and neuropathy, whereas the severe insulin-resistant diabetes group has the highest risk for diabetic kidney disease (DKD) and fatty liver. This emphasizes the key role of insulin resistance in the pathogenesis of DKD and fatty liver in T2D. In conclusion, this novel subclassification, breaking down T2D in clinically meaningful subgroups, provides the prerequisite framework for expanded personalized medicine in diabetes beyond what is already available for monogenic and to some extent type 1 diabetes.
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Affiliation(s)
- Emma Ahlqvist
- Department of Clinical Sciences, Malmö , Lund University, Malmö, Sweden
| | - Rashmi B Prasad
- Department of Clinical Sciences, Malmö , Lund University, Malmö, Sweden
- Institute for Molecular Medicine Finland (FIMM), Helsinki University, Helsinki, Finland
| | - Leif Groop
- Department of Clinical Sciences, Malmö , Lund University, Malmö, Sweden
- Institute for Molecular Medicine Finland (FIMM), Helsinki University, Helsinki, Finland
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23
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Prasad RB, Kristensen K, Katsarou A, Shaat N. Association of single nucleotide polymorphisms with insulin secretion, insulin sensitivity, and diabetes in women with a history of gestational diabetes mellitus. BMC Med Genomics 2021; 14:274. [PMID: 34801028 PMCID: PMC8606068 DOI: 10.1186/s12920-021-01123-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 11/10/2021] [Indexed: 12/23/2022] Open
Abstract
Background This study investigated whether single nucleotide polymorphisms (SNPs) reported by previous genome-wide association studies (GWAS) to be associated with impaired insulin secretion, insulin resistance, and/or type 2 diabetes are associated with disposition index, the homeostasis model assessment of insulin resistance (HOMA-IR), and/or development of diabetes following a pregnancy complicated by gestational diabetes mellitus (GDM). Methods Seventy-two SNPs were genotyped in 374 women with previous GDM from Southern Sweden. An oral glucose tolerance test was performed 1–2 years postpartum, although data on the diagnosis of diabetes were accessible up to 5 years postpartum. HOMA-IR and disposition index were used to measure insulin resistance and secretion, respectively. Results The risk A-allele in the rs11708067 polymorphism of the adenylate cyclase 5 gene (ADCY5) was associated with decreased disposition index (beta = − 0.90, SE 0.38, p = 0.019). This polymorphism was an expression quantitative trait loci (eQTL) in islets for both ADCY5 and its antisense transcript. The risk C-allele in the rs2943641 polymorphism, near the insulin receptor substrate 1 gene (IRS1), showed a trend towards association with increased HOMA-IR (beta = 0.36, SE 0.18, p = 0.050), and the T-allele of the rs4607103 polymorphism, near the ADAM metallopeptidase with thrombospondin type 1 motif 9 gene (ADAMTS9), was associated with postpartum diabetes (OR = 2.12, SE 0.22, p = 0.00055). The genetic risk score (GRS) of the top four SNPs tested for association with the disposition index using equal weights was associated with the disposition index (beta = − 0.31, SE = 0.29, p = 0.00096). In addition, the GRS of the four SNPs studied for association with HOMA-IR using equal weights showed an association with HOMA-IR (beta = 1.13, SE = 0.48, p = 9.72874e−11). All analyses were adjusted for age, body mass index, and ethnicity. Conclusions This study demonstrated the genetic susceptibility of women with a history of GDM to impaired insulin secretion and sensitivity and, ultimately, to diabetes development.
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Affiliation(s)
- Rashmi B Prasad
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Karl Kristensen
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Lund University, Malmö, Sweden.,Department of Obstetrics and Gynaecology, Skåne University Hospital, Malmö, Sweden
| | - Anastasia Katsarou
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Lund University, Malmö, Sweden.,Department of Endocrinology, Skåne University Hospital, 205 02, Malmö, Sweden
| | - Nael Shaat
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Lund University, Malmö, Sweden. .,Department of Endocrinology, Skåne University Hospital, 205 02, Malmö, Sweden.
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24
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Mansour Aly D, Dwivedi OP, Prasad RB, Käräjämäki A, Hjort R, Thangam M, Åkerlund M, Mahajan A, Udler MS, Florez JC, McCarthy MI, Brosnan J, Melander O, Carlsson S, Hansson O, Tuomi T, Groop L, Ahlqvist E. Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes. Nat Genet 2021; 53:1534-1542. [PMID: 34737425 DOI: 10.1038/s41588-021-00948-2] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 09/07/2021] [Indexed: 11/09/2022]
Abstract
Type 2 diabetes has been reproducibly clustered into five subtypes with different disease progression and risk of complications; however, etiological differences are unknown. We used genome-wide association and genetic risk score (GRS) analysis to compare the underlying genetic drivers. Individuals from the Swedish ANDIS (All New Diabetics In Scania) study were compared to individuals without diabetes; the Finnish DIREVA (Diabetes register in Vasa) and Botnia studies were used for replication. We show that subtypes differ with regard to family history of diabetes and association with GRS for diabetes-related traits. The severe insulin-resistant subtype was uniquely associated with GRS for fasting insulin but not with variants in the TCF7L2 locus or GRS reflecting insulin secretion. Further, an SNP (rs10824307) near LRMDA was uniquely associated with mild obesity-related diabetes. Therefore, we conclude that the subtypes have partially distinct genetic backgrounds indicating etiological differences.
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Affiliation(s)
- Dina Mansour Aly
- Lund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Om Prakash Dwivedi
- Finnish Institute for Molecular Medicine, Helsinki University, Helsinki, Finland
| | - Rashmi B Prasad
- Lund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Annemari Käräjämäki
- Department of Primary Health Care, Vaasa Central Hospital, Vaasa, Finland.,Diabetes Center, Vaasa Health Care Center, Vaasa, Finland
| | - Rebecka Hjort
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Manonanthini Thangam
- Lund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Mikael Åkerlund
- Lund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Genentech, South San Francisco, CA, USA
| | - Miriam S Udler
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Programs in Metabolism and Medical & Population Genetics, Broad Institute, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Jose C Florez
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Programs in Metabolism and Medical & Population Genetics, Broad Institute, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Mark I McCarthy
- Oxford Centre for Diabetes Endocrinology & Metabolism, University of Oxford, Oxford, UK.,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.,Oxford National Institute for Health Research Biomedical Research Centre, Churchill Hospital, Oxford, UK.,Genentech, South San Francisco, CA, USA
| | | | | | - Olle Melander
- Lund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Sofia Carlsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Ola Hansson
- Lund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.,Finnish Institute for Molecular Medicine, Helsinki University, Helsinki, Finland
| | - Tiinamaija Tuomi
- Lund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.,Finnish Institute for Molecular Medicine, Helsinki University, Helsinki, Finland.,Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center, Endocrinology, Helsinki University Central Hospital, Research Program for Diabetes and Obesity, Center of Helsinki, Helsinki, Finland
| | - Leif Groop
- Lund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.,Finnish Institute for Molecular Medicine, Helsinki University, Helsinki, Finland
| | - Emma Ahlqvist
- Lund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
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25
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Fragoso-Bargas N, Opsahl JO, Kiryushchenko N, Böttcher Y, Lee-Ødegård S, Qvigstad E, Richardsen KR, Waage CW, Sletner L, Jenum AK, Prasad RB, Groop LC, Moen GH, Birkeland KI, Sommer C. Cohort profile: Epigenetics in Pregnancy (EPIPREG) - population-based sample of European and South Asian pregnant women with epigenome-wide DNA methylation (850k) in peripheral blood leukocytes. PLoS One 2021; 16:e0256158. [PMID: 34388220 PMCID: PMC8362992 DOI: 10.1371/journal.pone.0256158] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 08/01/2021] [Indexed: 11/26/2022] Open
Abstract
Pregnancy is a valuable model to study the association between DNA methylation and several cardiometabolic traits, due to its direct potential to influence mother's and child's health. Epigenetics in Pregnancy (EPIPREG) is a population-based sample with the aim to study associations between DNA-methylation in pregnancy and cardiometabolic traits in South Asian and European pregnant women and their offspring. This cohort profile paper aims to present our sample with genetic and epigenetic data and invite researchers with similar cohorts to collaborative projects, such as replication of ours or their results and meta-analysis. In EPIPREG we have quantified epigenome-wide DNA methylation in maternal peripheral blood leukocytes in gestational week 28±1 in Europeans (n = 312) and South Asians (n = 168) that participated in the population-based cohort STORK Groruddalen, in Norway. DNA methylation was measured with Infinium MethylationEPIC BeadChip (850k sites), with technical validation of four CpG sites using bisulphite pyrosequencing in a subset (n = 30). The sample is well characterized with few missing data on e.g. genotype, universal screening for gestational diabetes, objectively measured physical activity, bioelectrical impedance, anthropometrics, biochemical measurements, and a biobank with maternal serum and plasma, urine, placenta tissue. In the offspring, we have repeated ultrasounds during pregnancy, cord blood, and anthropometrics up to 4 years of age. We have quantified DNA methylation in peripheral blood leukocytes in nearly all eligible women from the STORK Groruddalen study, to minimize the risk of selection bias. Genetic principal components distinctly separated Europeans and South Asian women, which fully corresponded with the self-reported ethnicity. Technical validation of 4 CpG sites from the methylation bead chip showed good agreement with bisulfite pyrosequencing. We plan to study associations between DNA methylation and cardiometabolic traits and outcomes.
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Affiliation(s)
- Nicolas Fragoso-Bargas
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Julia O. Opsahl
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nadezhda Kiryushchenko
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Department of Bioscience, University of Oslo, Oslo, Norway
| | - Yvonne Böttcher
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Molecular Biology, Akershus University Hospital, Lørenskog, Norway
- Helmholtz-Institute for Metabolic, Adiposity and Vascular Research, Leipzig, Germany
| | | | - Elisabeth Qvigstad
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kåre Rønn Richardsen
- Faculty of Health Sciences, Department of Physiotherapy, Oslo Metropolitan University, Oslo, Norway
| | - Christin W. Waage
- Faculty of Health Sciences, Department of Physiotherapy, Oslo Metropolitan University, Oslo, Norway
- Department of General Practice, General Practice Research Unit (AFE), Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Line Sletner
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Pediatric and Adolescents Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Anne Karen Jenum
- Department of General Practice, General Practice Research Unit (AFE), Institute of Health and Society, University of Oslo, Oslo, Norway
| | | | | | - Gunn-Helen Moen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
- Department of Public Health and Nursing, K.G. Jebsen Center for Genetic Epidemiology, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Kåre I. Birkeland
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Christine Sommer
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
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26
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Cataldo LR, Vishnu N, Singh T, Bertonnier-Brouty L, Bsharat S, Luan C, Renström E, Prasad RB, Fex M, Mulder H, Artner I. The MafA-target gene PPP1R1A regulates GLP1R-mediated amplification of glucose-stimulated insulin secretion in β-cells. Metabolism 2021; 118:154734. [PMID: 33631146 DOI: 10.1016/j.metabol.2021.154734] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 02/07/2021] [Accepted: 02/15/2021] [Indexed: 12/11/2022]
Abstract
The amplification of glucose-stimulated insulin secretion (GSIS) through incretin signaling is critical for maintaining physiological glucose levels. Incretins, like glucagon-like peptide 1 (GLP1), are a target of type 2 diabetes drugs aiming to enhance insulin secretion. Here we show that the protein phosphatase 1 inhibitor protein 1A (PPP1R1A), is expressed in β-cells and that its expression is reduced in dysfunctional β-cells lacking MafA and upon acute MafA knock down. MafA is a central regulator of GSIS and β-cell function. We observed a strong correlation of MAFA and PPP1R1A mRNA levels in human islets, moreover, PPP1R1A mRNA levels were reduced in type 2 diabetic islets and positively correlated with GLP1-mediated GSIS amplification. PPP1R1A silencing in INS1 (832/13) β-cells impaired GSIS amplification, PKA-target protein phosphorylation, mitochondrial coupling efficiency and also the expression of critical β-cell marker genes like MafA, Pdx1, NeuroD1 and Pax6. Our results demonstrate that the β-cell transcription factor MafA is required for PPP1R1A expression and that reduced β-cell PPP1R1A levels impaired β-cell function and contributed to β-cell dedifferentiation during type 2 diabetes. Loss of PPP1R1A in type 2 diabetic β-cells may explains the unresponsiveness of type 2 diabetic patients to GLP1R-based treatments.
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Affiliation(s)
- Luis Rodrigo Cataldo
- Endocrine Cell Differentiation and Function group, Stem Cell Centre, Lund University, Sweden; Lund University Diabetes Centre, Clinical Research Center, Sweden.
| | - Neelanjan Vishnu
- Lund University Diabetes Centre, Clinical Research Center, Sweden
| | - Tania Singh
- Endocrine Cell Differentiation and Function group, Stem Cell Centre, Lund University, Sweden; Lund University Diabetes Centre, Clinical Research Center, Sweden
| | - Ludivine Bertonnier-Brouty
- Endocrine Cell Differentiation and Function group, Stem Cell Centre, Lund University, Sweden; Lund University Diabetes Centre, Clinical Research Center, Sweden
| | - Sara Bsharat
- Endocrine Cell Differentiation and Function group, Stem Cell Centre, Lund University, Sweden; Lund University Diabetes Centre, Clinical Research Center, Sweden
| | - Cheng Luan
- Lund University Diabetes Centre, Clinical Research Center, Sweden
| | - Erik Renström
- Lund University Diabetes Centre, Clinical Research Center, Sweden
| | - Rashmi B Prasad
- Lund University Diabetes Centre, Clinical Research Center, Sweden; Department of Clinical Sciences in Malmö, Sweden
| | - Malin Fex
- Lund University Diabetes Centre, Clinical Research Center, Sweden
| | - Hindrik Mulder
- Lund University Diabetes Centre, Clinical Research Center, Sweden
| | - Isabella Artner
- Endocrine Cell Differentiation and Function group, Stem Cell Centre, Lund University, Sweden; Lund University Diabetes Centre, Clinical Research Center, Sweden.
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27
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Chriett S, Lindqvist A, Shcherbina L, Edlund A, Abels M, Asplund O, Martínez López JA, Ottosson-Laakso E, Hatem G, Prasad RB, Groop L, Eliasson L, Hansson O, Wierup N. SCRT1 is a novel beta cell transcription factor with insulin regulatory properties. Mol Cell Endocrinol 2021; 521:111107. [PMID: 33309639 DOI: 10.1016/j.mce.2020.111107] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 11/13/2020] [Accepted: 11/30/2020] [Indexed: 01/06/2023]
Abstract
Here we show that scratch family transcriptional repressor 1 (SCRT1), a zinc finger transcriptional regulator, is a novel regulator of beta cell function. SCRT1 was found to be expressed in beta cells in rodent and human islets. In human islets, expression of SCRT1 correlated with insulin secretion capacity and the expression of the insulin (INS) gene. Furthermore, SCRT1 mRNA expression was lower in beta cells from T2D patients. siRNA-mediated Scrt1 silencing in INS-1832/13 cells, mouse- and human islets resulted in impaired glucose-stimulated insulin secretion and decreased expression of the insulin gene. This is most likely due to binding of SCRT1 to E-boxes of the Ins1 gene as shown with ChIP. Scrt1 silencing also reduced the expression of several key beta cell transcription factors. Moreover, Scrt1 mRNA expression was reduced by glucose and SCRT1 protein was found to translocate between the nucleus and the cytosol in a glucose-dependent fashion in INS-1832/13 cells as well as in a rodent model of T2D. SCRT1 was also regulated by a GSK3β-dependent SCRT1-serine phosphorylation. Taken together, SCRT1 is a novel beta cell transcription factor that regulates insulin secretion and is affected in T2D.
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Affiliation(s)
- S Chriett
- Lund University Diabetes Centre, Malmö, Sweden
| | - A Lindqvist
- Lund University Diabetes Centre, Malmö, Sweden
| | | | - A Edlund
- Lund University Diabetes Centre, Malmö, Sweden
| | - M Abels
- Lund University Diabetes Centre, Malmö, Sweden
| | - O Asplund
- Lund University Diabetes Centre, Malmö, Sweden
| | - J A Martínez López
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | | | - G Hatem
- Lund University Diabetes Centre, Malmö, Sweden
| | - R B Prasad
- Lund University Diabetes Centre, Malmö, Sweden
| | - L Groop
- Lund University Diabetes Centre, Malmö, Sweden; Finnish Institute of Molecular Medicine, Helsinki, Finland
| | - L Eliasson
- Lund University Diabetes Centre, Malmö, Sweden
| | - O Hansson
- Lund University Diabetes Centre, Malmö, Sweden; Finnish Institute of Molecular Medicine, Helsinki, Finland
| | - N Wierup
- Lund University Diabetes Centre, Malmö, Sweden.
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28
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Liu X, Maiorino E, Halu A, Glass K, Prasad RB, Loscalzo J, Gao J, Sharma A. Robustness and lethality in multilayer biological molecular networks. Nat Commun 2020; 11:6043. [PMID: 33247151 PMCID: PMC7699651 DOI: 10.1038/s41467-020-19841-3] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Accepted: 10/26/2020] [Indexed: 12/27/2022] Open
Abstract
Robustness is a prominent feature of most biological systems. Most previous related studies have been focused on homogeneous molecular networks. Here we propose a comprehensive framework for understanding how the interactions between genes, proteins and metabolites contribute to the determinants of robustness in a heterogeneous biological network. We integrate heterogeneous sources of data to construct a multilayer interaction network composed of a gene regulatory layer, a protein-protein interaction layer, and a metabolic layer. We design a simulated perturbation process to characterize the contribution of each gene to the overall system's robustness, and find that influential genes are enriched in essential and cancer genes. We show that the proposed mechanism predicts a higher vulnerability of the metabolic layer to perturbations applied to genes associated with metabolic diseases. Furthermore, we find that the real network is comparably or more robust than expected in multiple random realizations. Finally, we analytically derive the expected robustness of multilayer biological networks starting from the degree distributions within and between layers. These results provide insights into the non-trivial dynamics occurring in the cell after a genetic perturbation is applied, confirming the importance of including the coupling between different layers of interaction in models of complex biological systems.
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Affiliation(s)
- Xueming Liu
- Key Laboratory of Imaging Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China.
| | - Enrico Maiorino
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Arda Halu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Kimberly Glass
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Rashmi B Prasad
- Genomics Diabetes and Endocrinology, Lund University Diabetes Centre, CRC, Malmö, SE, 20502, Sweden
| | - Joseph Loscalzo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Jianxi Gao
- Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
| | - Amitabh Sharma
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
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29
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Lee Y, Haftorn KL, Denault WRP, Nustad HE, Page CM, Lyle R, Lee-Ødegård S, Moen GH, Prasad RB, Groop LC, Sletner L, Sommer C, Magnus MC, Gjessing HK, Harris JR, Magnus P, Håberg SE, Jugessur A, Bohlin J. Blood-based epigenetic estimators of chronological age in human adults using DNA methylation data from the Illumina MethylationEPIC array. BMC Genomics 2020; 21:747. [PMID: 33109080 PMCID: PMC7590728 DOI: 10.1186/s12864-020-07168-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 10/20/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Epigenetic clocks have been recognized for their precise prediction of chronological age, age-related diseases, and all-cause mortality. Existing epigenetic clocks are based on CpGs from the Illumina HumanMethylation450 BeadChip (450 K) which has now been replaced by the latest platform, Illumina MethylationEPIC BeadChip (EPIC). Thus, it remains unclear to what extent EPIC contributes to increased precision and accuracy in the prediction of chronological age. RESULTS We developed three blood-based epigenetic clocks for human adults using EPIC-based DNA methylation (DNAm) data from the Norwegian Mother, Father and Child Cohort Study (MoBa) and the Gene Expression Omnibus (GEO) public repository: 1) an Adult Blood-based EPIC Clock (ABEC) trained on DNAm data from MoBa (n = 1592, age-span: 19 to 59 years), 2) an extended ABEC (eABEC) trained on DNAm data from MoBa and GEO (n = 2227, age-span: 18 to 88 years), and 3) a common ABEC (cABEC) trained on the same training set as eABEC but restricted to CpGs common to 450 K and EPIC. Our clocks showed high precision (Pearson correlation between chronological and epigenetic age (r) > 0.94) in independent cohorts, including GSE111165 (n = 15), GSE115278 (n = 108), GSE132203 (n = 795), and the Epigenetics in Pregnancy (EPIPREG) study of the STORK Groruddalen Cohort (n = 470). This high precision is unlikely due to the use of EPIC, but rather due to the large sample size of the training set. CONCLUSIONS Our ABECs predicted adults' chronological age precisely in independent cohorts. As EPIC is now the dominant platform for measuring DNAm, these clocks will be useful in further predictions of chronological age, age-related diseases, and mortality.
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Affiliation(s)
- Yunsung Lee
- Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway. .,Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.
| | - Kristine L Haftorn
- Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway.,Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.,Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - William R P Denault
- Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway.,Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Department of Global Public Health and Primary Care, University of Bergen, N-5020, Bergen, Norway
| | - Haakon E Nustad
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Deepinsight, Karl Johans gate 8, Oslo, Norway
| | - Christian M Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Oslo Centre for Biostatistics and Epidemiology, Section for Research Support, Oslo University Hospital, Oslo, Norway
| | - Robert Lyle
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.,PharmaTox Strategic Research Initiative, School of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Sindre Lee-Ødegård
- Department of Internal Medicine, Akershus University Hospital, Kongsvinger, Norway.,Department of transplantation medicine, Institute of Clinical medicine, University of Oslo, Oslo, Norway
| | - Gunn-Helen Moen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.,The University of Queensland Diamantina Institute, University of Queensland, Woolloongabba, QLD, 4102, Australia.,K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.,Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Rashmi B Prasad
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - Leif C Groop
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Finnish Institute of Molecular Medicine, Helsinki University, Helsinki, Finland
| | - Line Sletner
- Department of Pediatric and Adolescents Medicine, Akershus University Hospital, Lørenskog, Norway.,Institute of Clinical Medicine, University of Oslo, Campus AHUS, Lørenskog, Norway
| | - Christine Sommer
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Maria C Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.,MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Håkon K Gjessing
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Department of Global Public Health and Primary Care, University of Bergen, N-5020, Bergen, Norway
| | - Jennifer R Harris
- Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway.,Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Astanand Jugessur
- Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway.,Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Department of Global Public Health and Primary Care, University of Bergen, N-5020, Bergen, Norway
| | - Jon Bohlin
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Division for Infection Control and Environmental Health, Department of Infectious Disease Epidemiology and Modelling, Norwegian Institute of Public Health, Oslo, Norway
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30
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Abstract
Type 2 diabetes (T2D) is defined by a single metabolite, glucose, but is increasingly recognized as a highly heterogeneous disease, including individuals with varying clinical characteristics, disease progression, drug response, and risk of complications. Identification of subtypes with differing risk profiles and disease etiologies at diagnosis could open up avenues for personalized medicine and allow clinical resources to be focused to the patients who would be most likely to develop diabetic complications, thereby both improving patient health and reducing costs for the health sector. More homogeneous populations also offer increased power in experimental, genetic, and clinical studies. Clinical parameters are easily available and reflect relevant disease pathways, including the effects of both genetic and environmental exposures. We used six clinical parameters (GAD autoantibodies, age at diabetes onset, HbA1c, BMI, and measures of insulin resistance and insulin secretion) to cluster adult-onset diabetes patients into five subtypes. These subtypes have been robustly reproduced in several populations and associated with different risks of complications, comorbidities, genetics, and response to treatment. Importantly, the group with severe insulin-deficient diabetes (SIDD) had increased risk of retinopathy and neuropathy, whereas the severe insulin-resistant diabetes (SIRD) group had the highest risk for diabetic kidney disease (DKD) and fatty liver, emphasizing the importance of insulin resistance for DKD and hepatosteatosis in T2D. In conclusion, we believe that subclassification using these highly relevant parameters could provide a framework for personalized medicine in diabetes.
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Affiliation(s)
- Emma Ahlqvist
- Department of Clinical Sciences, Genomics, Diabetes and Endocrinology, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Rashmi B Prasad
- Department of Clinical Sciences, Genomics, Diabetes and Endocrinology, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Leif Groop
- Department of Clinical Sciences, Genomics, Diabetes and Endocrinology, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Finnish Institute of Molecular Medicine Finland (FIMM), Helsinki University, Helsinki, Finland
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31
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Viñuela A, Varshney A, van de Bunt M, Prasad RB, Asplund O, Bennett A, Boehnke M, Brown AA, Erdos MR, Fadista J, Hansson O, Hatem G, Howald C, Iyengar AK, Johnson P, Krus U, MacDonald PE, Mahajan A, Manning Fox JE, Narisu N, Nylander V, Orchard P, Oskolkov N, Panousis NI, Payne A, Stitzel ML, Vadlamudi S, Welch R, Collins FS, Mohlke KL, Gloyn AL, Scott LJ, Dermitzakis ET, Groop L, Parker SCJ, McCarthy MI. Genetic variant effects on gene expression in human pancreatic islets and their implications for T2D. Nat Commun 2020; 11:4912. [PMID: 32999275 PMCID: PMC7528108 DOI: 10.1038/s41467-020-18581-8] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 08/12/2020] [Indexed: 02/08/2023] Open
Abstract
Most signals detected by genome-wide association studies map to non-coding sequence and their tissue-specific effects influence transcriptional regulation. However, key tissues and cell-types required for functional inference are absent from large-scale resources. Here we explore the relationship between genetic variants influencing predisposition to type 2 diabetes (T2D) and related glycemic traits, and human pancreatic islet transcription using data from 420 donors. We find: (a) 7741 cis-eQTLs in islets with a replication rate across 44 GTEx tissues between 40% and 73%; (b) marked overlap between islet cis-eQTL signals and active regulatory sequences in islets, with reduced eQTL effect size observed in the stretch enhancers most strongly implicated in GWAS signal location; (c) enrichment of islet cis-eQTL signals with T2D risk variants identified in genome-wide association studies; and (d) colocalization between 47 islet cis-eQTLs and variants influencing T2D or glycemic traits, including DGKB and TCF7L2. Our findings illustrate the advantages of performing functional and regulatory studies in disease relevant tissues.
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Affiliation(s)
- Ana Viñuela
- grid.8591.50000 0001 2322 4988Department of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, Switzerland ,grid.8591.50000 0001 2322 4988Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, 1211 Geneva, Switzerland ,grid.419765.80000 0001 2223 3006Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland ,grid.1006.70000 0001 0462 7212Biosciences Institute, Faculty of Medical Sciences, Newcastle University, NE1 4EP Newcastle, UK
| | - Arushi Varshney
- grid.214458.e0000000086837370Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109 USA
| | - Martijn van de Bunt
- grid.4991.50000 0004 1936 8948Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN UK ,grid.4991.50000 0004 1936 8948Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 7LE UK ,grid.410556.30000 0001 0440 1440Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, OX3 7LE UK
| | - Rashmi B. Prasad
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Olof Asplund
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Amanda Bennett
- grid.4991.50000 0004 1936 8948Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN UK
| | - Michael Boehnke
- grid.214458.e0000000086837370Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109 USA
| | - Andrew A. Brown
- grid.8591.50000 0001 2322 4988Department of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, Switzerland ,grid.8591.50000 0001 2322 4988Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, 1211 Geneva, Switzerland ,grid.419765.80000 0001 2223 3006Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland ,grid.8241.f0000 0004 0397 2876Population Health and Genomics, University of Dundee, Dundee, Scotland, DD1 9SY UK
| | - Michael R. Erdos
- grid.280128.10000 0001 2233 9230Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892 USA
| | - João Fadista
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden ,grid.6203.70000 0004 0417 4147Department of Epidemiology Research, Statens Serum Institut, Copenhagen, DK 2300 Denmark ,grid.7737.40000 0004 0410 2071Finnish Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland
| | - Ola Hansson
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden ,grid.7737.40000 0004 0410 2071Finnish Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland
| | - Gad Hatem
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Cédric Howald
- grid.8591.50000 0001 2322 4988Department of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, Switzerland ,grid.8591.50000 0001 2322 4988Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, 1211 Geneva, Switzerland ,grid.419765.80000 0001 2223 3006Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland
| | - Apoorva K. Iyengar
- grid.410711.20000 0001 1034 1720Department of Genetics, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Paul Johnson
- grid.4991.50000 0004 1936 8948Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN UK
| | - Ulrika Krus
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Patrick E. MacDonald
- grid.17089.37Department of Pharmacology and Alberta Diabetes Institute, University of Alberta, Edmonton, Alberta Canada
| | - Anubha Mahajan
- grid.4991.50000 0004 1936 8948Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN UK ,grid.418158.10000 0004 0534 4718Present Address: Human Genetics, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA
| | - Jocelyn E. Manning Fox
- grid.17089.37Department of Pharmacology and Alberta Diabetes Institute, University of Alberta, Edmonton, Alberta Canada
| | - Narisu Narisu
- grid.280128.10000 0001 2233 9230Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892 USA
| | - Vibe Nylander
- grid.4991.50000 0004 1936 8948Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 7LE UK
| | - Peter Orchard
- grid.214458.e0000000086837370Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI 48109 USA
| | - Nikolay Oskolkov
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Nikolaos I. Panousis
- grid.8591.50000 0001 2322 4988Department of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, Switzerland ,grid.8591.50000 0001 2322 4988Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, 1211 Geneva, Switzerland ,grid.419765.80000 0001 2223 3006Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland
| | - Anthony Payne
- grid.4991.50000 0004 1936 8948Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN UK
| | - Michael L. Stitzel
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032 USA ,grid.63054.340000 0001 0860 4915Department of Genetics and Genome Sciences, Institute for Systems Genomics, University of Connecticut, Farmington, CT 06032 USA
| | - Swarooparani Vadlamudi
- grid.410711.20000 0001 1034 1720Department of Genetics, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Ryan Welch
- grid.214458.e0000000086837370Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109 USA
| | - Francis S. Collins
- grid.280128.10000 0001 2233 9230Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892 USA
| | - Karen L. Mohlke
- grid.410711.20000 0001 1034 1720Department of Genetics, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Anna L. Gloyn
- grid.4991.50000 0004 1936 8948Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN UK ,grid.4991.50000 0004 1936 8948Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 7LE UK ,grid.410556.30000 0001 0440 1440Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, OX3 7LE UK ,grid.168010.e0000000419368956Department of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford University, Stanford, CA USA
| | - Laura J. Scott
- grid.214458.e0000000086837370Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109 USA
| | - Emmanouil T. Dermitzakis
- grid.8591.50000 0001 2322 4988Department of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, Switzerland ,grid.8591.50000 0001 2322 4988Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, 1211 Geneva, Switzerland ,grid.419765.80000 0001 2223 3006Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland
| | - Leif Groop
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden ,grid.7737.40000 0004 0410 2071Finnish Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland
| | - Stephen C. J. Parker
- grid.214458.e0000000086837370Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109 USA ,grid.214458.e0000000086837370Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI 48109 USA
| | - Mark I. McCarthy
- grid.4991.50000 0004 1936 8948Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN UK ,grid.4991.50000 0004 1936 8948Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 7LE UK ,grid.410556.30000 0001 0440 1440Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, OX3 7LE UK ,grid.418158.10000 0004 0534 4718Present Address: Human Genetics, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA
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Lindqvist A, Shcherbina L, Prasad RB, Miskelly MG, Abels M, Martínez-Lopéz JA, Fred RG, Nergård BJ, Hedenbro J, Groop L, Hjerling-Leffler J, Wierup N. Ghrelin suppresses insulin secretion in human islets and type 2 diabetes patients have diminished islet ghrelin cell number and lower plasma ghrelin levels. Mol Cell Endocrinol 2020; 511:110835. [PMID: 32371087 DOI: 10.1016/j.mce.2020.110835] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 04/07/2020] [Accepted: 04/21/2020] [Indexed: 01/22/2023]
Abstract
It is not known how ghrelin affects insulin secretion in human islets from patients with type 2 diabetes (T2D) or whether islet ghrelin expression or circulating ghrelin levels are altered in T2D. Here we sought out to identify the effect of ghrelin on insulin secretion in human islets and the impact of T2D on circulating ghrelin levels and on islet ghrelin cells. The effect of ghrelin on insulin secretion was assessed in human T2D and non-T2D islets. Ghrelin expression was assessed with RNA-sequencing (n = 191) and immunohistochemistry (n = 21). Plasma ghrelin was measured with ELISA in 40 T2D and 40 non-T2D subjects. Ghrelin exerted a glucose-dependent insulin-suppressing effect in islets from both T2D and non-T2D donors. Compared with non-T2D donors, T2D donors had reduced ghrelin mRNA expression and 75% less islet ghrelin cells, and ghrelin mRNA expression correlated negatively with HbA1c. T2D subjects had 25% lower fasting plasma ghrelin levels than matched controls. Thus, ghrelin has direct insulin-suppressing effects in human islets and T2D patients have lower fasting ghrelin levels, likely as a result of reduced number of islet ghrelin cells. These findings support inhibition of ghrelin signaling as a potential therapeutic avenue for stimulation of insulin secretion in T2D patients.
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Affiliation(s)
- A Lindqvist
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - L Shcherbina
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - R B Prasad
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - M G Miskelly
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - M Abels
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - J A Martínez-Lopéz
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - R G Fred
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | | | - J Hedenbro
- Lund University Diabetes Centre, Lund University, Malmö, Sweden; Aleris Obesitas, Lund, Sweden
| | - L Groop
- Lund University Diabetes Centre, Lund University, Malmö, Sweden; Finnish Institute of Molecular Medicine, Helsinki, Finland
| | - J Hjerling-Leffler
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - N Wierup
- Lund University Diabetes Centre, Lund University, Malmö, Sweden.
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Shaat N, Katsarou A, Shahida B, Prasad RB, Kristensen K, Planck T. Association between the rs1544410 polymorphism in the vitamin D receptor (VDR) gene and insulin secretion after gestational diabetes mellitus. PLoS One 2020; 15:e0232297. [PMID: 32407388 PMCID: PMC7224565 DOI: 10.1371/journal.pone.0232297] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 04/11/2020] [Indexed: 12/12/2022] Open
Abstract
Background and aims Genetic variants involved in vitamin D metabolism have been associated with diabetes and related syndromes/diseases. We wanted to investigate possible associations of polymorphisms in genes involved in vitamin D metabolism with indices of insulin resistance and insulin secretion, and also with development of diabetes after gestational diabetes mellitus (GDM). Materials and methods We have studied 376 women with previous GDM. Eight single nucleotide polymorphisms (SNPs) in the genes for vitamin D receptor (VDR) [rs731236, rs7975232, rs10735810, and rs1544410], vitamin D binding protein (DBP) [rs7041 and rs4588], and cytochrome P450 family 27 subfamily B member 1 (CYP27B1) [rs10877012 and rs4646536] were genotyped by TaqMan Allelic Discrimination Assay using the Quantstudio 7 Flex system. A 75-g oral glucose tolerance test (OGTT) was performed 1–2 years postpartum. The homeostasis model assessment of insulin resistance (HOMA-IR) and the disposition index [(insulinogenic index: I30/G30)/HOMA-IR] were used to calculate insulin resistance and insulin secretion, respectively. Serum samples for determination of 25(OH)D3 were collected at the time of the OGTT. Manifestation of diabetes was followed up to five years postpartum. Results After adjustment for BMI, age, and ethnicity, the A-allele of the VDR rs1544410 polymorphism was found to be associated with increased disposition index (difference per allele = 3.56, 95% CI: 0.4567–6.674; p = 0.03). The A-allele of the DBP rs7041 polymorphism was found to be associated with 25(OH)D3 levels (difference [in nmol/L] per allele = −5.478, 95% CI: -8.315 to −2.641; p = 0.0002), as was the T-allele of the DBP rs4588 polymorphism (OR = −6.319, 95% CI: −9.466 to −3.171; p = 0.0001). None of the SNPs were significantly associated with HOMA-IR or postpartum diabetes. Conclusions This study provides evidence that the rs1544410 polymorphism of the VDR gene may be associated with increased insulin secretion in women after pregnancy complicated by GDM. Further studies in other populations are needed to confirm the results.
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Affiliation(s)
- Nael Shaat
- Department of Clinical Sciences, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Department of Endocrinology, Skåne University Hospital, Malmö, Sweden
- * E-mail:
| | - Anastasia Katsarou
- Department of Clinical Sciences, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Department of Endocrinology, Skåne University Hospital, Malmö, Sweden
| | - Bushra Shahida
- Department of Clinical Sciences, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
| | - Rashmi B. Prasad
- Department of Clinical Sciences, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
| | - Karl Kristensen
- Department of Clinical Sciences, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Department of Obstetrics and Gynaecology, Skåne University Hospital, Malmö, Sweden
| | - Tereza Planck
- Department of Clinical Sciences, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
- Department of Endocrinology, Skåne University Hospital, Malmö, Sweden
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Jujić A, Atabaki-Pasdar N, Nilsson PM, Almgren P, Hakaste L, Tuomi T, Berglund LM, Franks PW, Holst JJ, Prasad RB, Torekov SS, Ravassa S, Díez J, Persson M, Melander O, Gomez MF, Groop L, Ahlqvist E, Magnusson M. Glucose-dependent insulinotropic peptide and risk of cardiovascular events and mortality: a prospective study. Diabetologia 2020; 63:1043-1054. [PMID: 31974732 PMCID: PMC7145777 DOI: 10.1007/s00125-020-05093-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 12/18/2019] [Indexed: 12/17/2022]
Abstract
AIMS/HYPOTHESIS Evidence that glucose-dependent insulinotropic peptide (GIP) and/or the GIP receptor (GIPR) are involved in cardiovascular biology is emerging. We hypothesised that GIP has untoward effects on cardiovascular biology, in contrast to glucagon-like peptide 1 (GLP-1), and therefore investigated the effects of GIP and GLP-1 concentrations on cardiovascular disease (CVD) and mortality risk. METHODS GIP concentrations were successfully measured during OGTTs in two independent populations (Malmö Diet Cancer-Cardiovascular Cohort [MDC-CC] and Prevalence, Prediction and Prevention of Diabetes in Botnia [PPP-Botnia]) in a total of 8044 subjects. GLP-1 (n = 3625) was measured in MDC-CC. The incidence of CVD and mortality was assessed via national/regional registers or questionnaires. Further, a two-sample Mendelian randomisation (2SMR) analysis between the GIP pathway and outcomes (coronary artery disease [CAD] and myocardial infarction) was carried out using a GIP-associated genetic variant, rs1800437, as instrumental variable. An additional reverse 2SMR was performed with CAD as exposure variable and GIP as outcome variable, with the instrumental variables constructed from 114 known genetic risk variants for CAD. RESULTS In meta-analyses, higher fasting levels of GIP were associated with risk of higher total mortality (HR[95% CI] = 1.22 [1.11, 1.35]; p = 4.5 × 10-5) and death from CVD (HR[95% CI] 1.30 [1.11, 1.52]; p = 0.001). In accordance, 2SMR analysis revealed that increasing GIP concentrations were associated with CAD and myocardial infarction, and an additional reverse 2SMR revealed no significant effect of CAD on GIP levels, thus confirming a possible effect solely of GIP on CAD. CONCLUSIONS/INTERPRETATION In two prospective, community-based studies, elevated levels of GIP were associated with greater risk of all-cause and cardiovascular mortality within 5-9 years of follow-up, whereas GLP-1 levels were not associated with excess risk. Further studies are warranted to determine the cardiovascular effects of GIP per se.
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Affiliation(s)
- Amra Jujić
- Department of Clinical Sciences Malmö, Lund University, Clinical Research Centre, Hämtställe HS 36, Box 50332, 202 13, Malmö, Sweden
- Department of Cardiology, Skåne University Hospital, Inga Marie Nilssons gata 49, 20502, Malmö, Sweden
| | | | - Peter M Nilsson
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Peter Almgren
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Liisa Hakaste
- Folkhälsan Research Centre, Biomedicum, Helsinki, Finland
- Research Program Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
- Department of Endocrinology, Helsinki University Hospital, Helsinki, Finland
- Finnish Institute of Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Tiinamaija Tuomi
- Folkhälsan Research Centre, Biomedicum, Helsinki, Finland
- Research Program Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
- Department of Endocrinology, Helsinki University Hospital, Helsinki, Finland
- Finnish Institute of Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Lisa M Berglund
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Paul W Franks
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Public Health & Clinical Medicine, Umeå University, Umeå, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
| | - Jens J Holst
- Department of Biomedical Sciences, The Panum Institute, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Rashmi B Prasad
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Signe S Torekov
- Department of Biomedical Sciences, The Panum Institute, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Susana Ravassa
- Program of Cardiovascular Diseases, CIMA, University of Navarra, Pamplona, Spain
- CIBERCV, Carlos III Institute of Health, Madrid, Spain
- Instituto de Investigación Sanitaria de Navarra (IdisNA), Pamplona, Spain
| | - Javier Díez
- Program of Cardiovascular Diseases, CIMA, University of Navarra, Pamplona, Spain
- CIBERCV, Carlos III Institute of Health, Madrid, Spain
- Instituto de Investigación Sanitaria de Navarra (IdisNA), Pamplona, Spain
- Department of Cardiology and Cardiac Surgery, University of Navarra Clinic, Pamplona, Spain
- Department of Nephrology, University of Navarra Clinic, Pamplona, Spain
| | | | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Maria F Gomez
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Leif Groop
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Department of Endocrinology, Helsinki University Hospital, Helsinki, Finland
| | - Emma Ahlqvist
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Martin Magnusson
- Department of Clinical Sciences Malmö, Lund University, Clinical Research Centre, Hämtställe HS 36, Box 50332, 202 13, Malmö, Sweden.
- Department of Cardiology, Skåne University Hospital, Inga Marie Nilssons gata 49, 20502, Malmö, Sweden.
- Wallenberg Center for Molecular Medicine, Lund University, Malmö, Sweden.
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Korchynska S, Krassnitzer M, Malenczyk K, Prasad RB, Tretiakov EO, Rehman S, Cinquina V, Gernedl V, Farlik M, Petersen J, Hannes S, Schachenhofer J, Reisinger SN, Zambon A, Asplund O, Artner I, Keimpema E, Lubec G, Mulder J, Bock C, Pollak DD, Romanov RA, Pifl C, Groop L, Hökfelt TGM, Harkany T. Life-long impairment of glucose homeostasis upon prenatal exposure to psychostimulants. EMBO J 2020; 39:e100882. [PMID: 31750562 PMCID: PMC6939201 DOI: 10.15252/embj.2018100882] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 10/10/2019] [Accepted: 10/21/2019] [Indexed: 12/21/2022] Open
Abstract
Maternal drug abuse during pregnancy is a rapidly escalating societal problem. Psychostimulants, including amphetamine, cocaine, and methamphetamine, are amongst the illicit drugs most commonly consumed by pregnant women. Neuropharmacology concepts posit that psychostimulants affect monoamine signaling in the nervous system by their affinities to neurotransmitter reuptake and vesicular transporters to heighten neurotransmitter availability extracellularly. Exacerbated dopamine signaling is particularly considered as a key determinant of psychostimulant action. Much less is known about possible adverse effects of these drugs on peripheral organs, and if in utero exposure induces lifelong pathologies. Here, we addressed this question by combining human RNA-seq data with cellular and mouse models of neuroendocrine development. We show that episodic maternal exposure to psychostimulants during pregnancy coincident with the intrauterine specification of pancreatic β cells permanently impairs their ability of insulin production, leading to glucose intolerance in adult female but not male offspring. We link psychostimulant action specifically to serotonin signaling and implicate the sex-specific epigenetic reprogramming of serotonin-related gene regulatory networks upstream from the transcription factor Pet1/Fev as determinants of reduced insulin production.
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Affiliation(s)
- Solomiia Korchynska
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
| | - Maria Krassnitzer
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
| | - Katarzyna Malenczyk
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
| | - Rashmi B Prasad
- Department of Clinical Sciences, Diabetes and Endocrinology CRCSkåne University Hospital MalmöMalmöSweden
| | - Evgenii O Tretiakov
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
| | - Sabah Rehman
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
| | - Valentina Cinquina
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
| | - Victoria Gernedl
- CeMM Research Center for Molecular Medicine of the Austrian Academy of SciencesViennaAustria
| | - Matthias Farlik
- CeMM Research Center for Molecular Medicine of the Austrian Academy of SciencesViennaAustria
| | - Julian Petersen
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
| | - Sophia Hannes
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
| | - Julia Schachenhofer
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
| | - Sonali N Reisinger
- Department of Neurophysiology and NeuropharmacologyCenter for Physiology and PharmacologyMedical University of ViennaViennaAustria
| | - Alice Zambon
- Department of Neurophysiology and NeuropharmacologyCenter for Physiology and PharmacologyMedical University of ViennaViennaAustria
| | - Olof Asplund
- Department of Clinical Sciences, Diabetes and Endocrinology CRCSkåne University Hospital MalmöMalmöSweden
| | - Isabella Artner
- Stem Cell CenterLund UniversityLundSweden
- Endocrine Cell Differentiation and FunctionLund University Diabetes CenterLund UniversityMalmöSweden
| | - Erik Keimpema
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
| | - Gert Lubec
- Paracelsus Medical UniversitySalzburgAustria
| | - Jan Mulder
- Science for Life LaboratoryKarolinska InstitutetSolnaSweden
| | - Christoph Bock
- CeMM Research Center for Molecular Medicine of the Austrian Academy of SciencesViennaAustria
| | - Daniela D Pollak
- Department of Neurophysiology and NeuropharmacologyCenter for Physiology and PharmacologyMedical University of ViennaViennaAustria
| | - Roman A Romanov
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
| | - Christian Pifl
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
| | - Leif Groop
- Department of Clinical Sciences, Diabetes and Endocrinology CRCSkåne University Hospital MalmöMalmöSweden
- Institute for Molecular Medicine Finland (FIMM)Helsinki UniversityHelsinkiFinland
| | | | - Tibor Harkany
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaAustria
- Department of NeuroscienceKarolinska InstitutetSolnaSweden
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Dwivedi OP, Lehtovirta M, Hastoy B, Chandra V, Krentz NAJ, Kleiner S, Jain D, Richard AM, Abaitua F, Beer NL, Grotz A, Prasad RB, Hansson O, Ahlqvist E, Krus U, Artner I, Suoranta A, Gomez D, Baras A, Champon B, Payne AJ, Moralli D, Thomsen SK, Kramer P, Spiliotis I, Ramracheya R, Chabosseau P, Theodoulou A, Cheung R, van de Bunt M, Flannick J, Trombetta M, Bonora E, Wolheim CB, Sarelin L, Bonadonna RC, Rorsman P, Davies B, Brosnan J, McCarthy MI, Otonkoski T, Lagerstedt JO, Rutter GA, Gromada J, Gloyn AL, Tuomi T, Groop L. Loss of ZnT8 function protects against diabetes by enhanced insulin secretion. Nat Genet 2019; 51:1596-1606. [PMID: 31676859 PMCID: PMC6858874 DOI: 10.1038/s41588-019-0513-9] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Accepted: 09/13/2019] [Indexed: 12/30/2022]
Abstract
A rare loss-of-function allele p.Arg138* in SLC30A8 encoding the zinc transporter 8 (ZnT8), which is enriched in Western Finland, protects against type 2 diabetes (T2D). We recruited relatives of the identified carriers and showed that protection was associated with better insulin secretion due to enhanced glucose responsiveness and proinsulin conversion, particularly when compared with individuals matched for the genotype of a common T2D-risk allele in SLC30A8, p.Arg325. In genome-edited human induced pluripotent stem cell (iPSC)-derived β-like cells, we establish that the p.Arg138* allele results in reduced SLC30A8 expression due to haploinsufficiency. In human β cells, loss of SLC30A8 leads to increased glucose responsiveness and reduced KATP channel function similar to isolated islets from carriers of the T2D-protective allele p.Trp325. These data position ZnT8 as an appealing target for treatment aimed at maintaining insulin secretion capacity in T2D.
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Affiliation(s)
- Om Prakash Dwivedi
- Institute for Molecular Medicine Finland, Helsinki University, Helsinki, Finland
| | - Mikko Lehtovirta
- Institute for Molecular Medicine Finland, Helsinki University, Helsinki, Finland
| | - Benoit Hastoy
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Vikash Chandra
- Stem Cells and Metabolism Research Program and Biomedicum Stem Cell Centre, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Nicole A J Krentz
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Deepak Jain
- Department of Experimental Medical Science, Lund University, Lund, Sweden
| | | | - Fernando Abaitua
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Nicola L Beer
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Antje Grotz
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Rashmi B Prasad
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Ola Hansson
- Institute for Molecular Medicine Finland, Helsinki University, Helsinki, Finland
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Emma Ahlqvist
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Ulrika Krus
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Isabella Artner
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Anu Suoranta
- Institute for Molecular Medicine Finland, Helsinki University, Helsinki, Finland
| | | | - Aris Baras
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | - Benoite Champon
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Anthony J Payne
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Daniela Moralli
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Soren K Thomsen
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Philipp Kramer
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ioannis Spiliotis
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Reshma Ramracheya
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Pauline Chabosseau
- Section of Cell Biology, Department of Medicine, Imperial College London, Imperial Centre for Translational and Experimental Medicine, Hammersmith, Hospital, London, UK
| | - Andria Theodoulou
- Section of Cell Biology, Department of Medicine, Imperial College London, Imperial Centre for Translational and Experimental Medicine, Hammersmith, Hospital, London, UK
| | - Rebecca Cheung
- Section of Cell Biology, Department of Medicine, Imperial College London, Imperial Centre for Translational and Experimental Medicine, Hammersmith, Hospital, London, UK
| | - Martijn van de Bunt
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Jason Flannick
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Maddalena Trombetta
- Department of Medicine, University of Verona and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Enzo Bonora
- Department of Medicine, University of Verona and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Claes B Wolheim
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | | | - Riccardo C Bonadonna
- Department of Medicine and Surgery, University of Parma School of Medicine and Azienda Ospedaliera Universitaria of Parma, Parma, Italy
| | - Patrik Rorsman
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Benjamin Davies
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Mark I McCarthy
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Timo Otonkoski
- Stem Cells and Metabolism Research Program and Biomedicum Stem Cell Centre, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jens O Lagerstedt
- Department of Experimental Medical Science, Lund University, Lund, Sweden
| | - Guy A Rutter
- Section of Cell Biology, Department of Medicine, Imperial College London, Imperial Centre for Translational and Experimental Medicine, Hammersmith, Hospital, London, UK
| | | | - Anna L Gloyn
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland, Helsinki University, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Endocrinology, Helsinki University Central Hospital, Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
| | - Leif Groop
- Institute for Molecular Medicine Finland, Helsinki University, Helsinki, Finland.
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
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Clark DW, Okada Y, Moore KHS, Mason D, Pirastu N, Gandin I, Mattsson H, Barnes CLK, Lin K, Zhao JH, Deelen P, Rohde R, Schurmann C, Guo X, Giulianini F, Zhang W, Medina-Gomez C, Karlsson R, Bao Y, Bartz TM, Baumbach C, Biino G, Bixley MJ, Brumat M, Chai JF, Corre T, Cousminer DL, Dekker AM, Eccles DA, van Eijk KR, Fuchsberger C, Gao H, Germain M, Gordon SD, de Haan HG, Harris SE, Hofer E, Huerta-Chagoya A, Igartua C, Jansen IE, Jia Y, Kacprowski T, Karlsson T, Kleber ME, Li SA, Li-Gao R, Mahajan A, Matsuda K, Meidtner K, Meng W, Montasser ME, van der Most PJ, Munz M, Nutile T, Palviainen T, Prasad G, Prasad RB, Priyanka TDS, Rizzi F, Salvi E, Sapkota BR, Shriner D, Skotte L, Smart MC, Smith AV, van der Spek A, Spracklen CN, Strawbridge RJ, Tajuddin SM, Trompet S, Turman C, Verweij N, Viberti C, Wang L, Warren HR, Wootton RE, Yanek LR, Yao J, Yousri NA, Zhao W, Adeyemo AA, Afaq S, Aguilar-Salinas CA, Akiyama M, Albert ML, Allison MA, Alver M, Aung T, Azizi F, Bentley AR, Boeing H, Boerwinkle E, Borja JB, de Borst GJ, Bottinger EP, Broer L, Campbell H, Chanock S, Chee ML, Chen G, Chen YDI, Chen Z, Chiu YF, Cocca M, Collins FS, Concas MP, Corley J, Cugliari G, van Dam RM, Damulina A, Daneshpour MS, Day FR, Delgado GE, Dhana K, Doney ASF, Dörr M, Doumatey AP, Dzimiri N, Ebenesersdóttir SS, Elliott J, Elliott P, Ewert R, Felix JF, Fischer K, Freedman BI, Girotto G, Goel A, Gögele M, Goodarzi MO, Graff M, Granot-Hershkovitz E, Grodstein F, Guarrera S, Gudbjartsson DF, Guity K, Gunnarsson B, Guo Y, Hagenaars SP, Haiman CA, Halevy A, Harris TB, Hedayati M, van Heel DA, Hirata M, Höfer I, Hsiung CA, Huang J, Hung YJ, Ikram MA, Jagadeesan A, Jousilahti P, Kamatani Y, Kanai M, Kerrison ND, Kessler T, Khaw KT, Khor CC, de Kleijn DPV, Koh WP, Kolcic I, Kraft P, Krämer BK, Kutalik Z, Kuusisto J, Langenberg C, Launer LJ, Lawlor DA, Lee IT, Lee WJ, Lerch MM, Li L, Liu J, Loh M, London SJ, Loomis S, Lu Y, Luan J, Mägi R, Manichaikul AW, Manunta P, Másson G, Matoba N, Mei XW, Meisinger C, Meitinger T, Mezzavilla M, Milani L, Millwood IY, Momozawa Y, Moore A, Morange PE, Moreno-Macías H, Mori TA, Morrison AC, Muka T, Murakami Y, Murray AD, de Mutsert R, Mychaleckyj JC, Nalls MA, Nauck M, Neville MJ, Nolte IM, Ong KK, Orozco L, Padmanabhan S, Pálsson G, Pankow JS, Pattaro C, Pattie A, Polasek O, Poulter N, Pramstaller PP, Quintana-Murci L, Räikkönen K, Ralhan S, Rao DC, van Rheenen W, Rich SS, Ridker PM, Rietveld CA, Robino A, van Rooij FJA, Ruggiero D, Saba Y, Sabanayagam C, Sabater-Lleal M, Sala CF, Salomaa V, Sandow K, Schmidt H, Scott LJ, Scott WR, Sedaghati-Khayat B, Sennblad B, van Setten J, Sever PJ, Sheu WHH, Shi Y, Shrestha S, Shukla SR, Sigurdsson JK, Sikka TT, Singh JR, Smith BH, Stančáková A, Stanton A, Starr JM, Stefansdottir L, Straker L, Sulem P, Sveinbjornsson G, Swertz MA, Taylor AM, Taylor KD, Terzikhan N, Tham YC, Thorleifsson G, Thorsteinsdottir U, Tillander A, Tracy RP, Tusié-Luna T, Tzoulaki I, Vaccargiu S, Vangipurapu J, Veldink JH, Vitart V, Völker U, Vuoksimaa E, Wakil SM, Waldenberger M, Wander GS, Wang YX, Wareham NJ, Wild S, Yajnik CS, Yuan JM, Zeng L, Zhang L, Zhou J, Amin N, Asselbergs FW, Bakker SJL, Becker DM, Lehne B, Bennett DA, van den Berg LH, Berndt SI, Bharadwaj D, Bielak LF, Bochud M, Boehnke M, Bouchard C, Bradfield JP, Brody JA, Campbell A, Carmi S, Caulfield MJ, Cesarini D, Chambers JC, Chandak GR, Cheng CY, Ciullo M, Cornelis M, Cusi D, Smith GD, Deary IJ, Dorajoo R, van Duijn CM, Ellinghaus D, Erdmann J, Eriksson JG, Evangelou E, Evans MK, Faul JD, Feenstra B, Feitosa M, Foisy S, Franke A, Friedlander Y, Gasparini P, Gieger C, Gonzalez C, Goyette P, Grant SFA, Griffiths LR, Groop L, Gudnason V, Gyllensten U, Hakonarson H, Hamsten A, van der Harst P, Heng CK, Hicks AA, Hochner H, Huikuri H, Hunt SC, Jaddoe VWV, De Jager PL, Johannesson M, Johansson Å, Jonas JB, Jukema JW, Junttila J, Kaprio J, Kardia SLR, Karpe F, Kumari M, Laakso M, van der Laan SW, Lahti J, Laudes M, Lea RA, Lieb W, Lumley T, Martin NG, März W, Matullo G, McCarthy MI, Medland SE, Merriman TR, Metspalu A, Meyer BF, Mohlke KL, Montgomery GW, Mook-Kanamori D, Munroe PB, North KE, Nyholt DR, O'connell JR, Ober C, Oldehinkel AJ, Palmas W, Palmer C, Pasterkamp GG, Patin E, Pennell CE, Perusse L, Peyser PA, Pirastu M, Polderman TJC, Porteous DJ, Posthuma D, Psaty BM, Rioux JD, Rivadeneira F, Rotimi C, Rotter JI, Rudan I, Den Ruijter HM, Sanghera DK, Sattar N, Schmidt R, Schulze MB, Schunkert H, Scott RA, Shuldiner AR, Sim X, Small N, Smith JA, Sotoodehnia N, Tai ES, Teumer A, Timpson NJ, Toniolo D, Tregouet DA, Tuomi T, Vollenweider P, Wang CA, Weir DR, Whitfield JB, Wijmenga C, Wong TY, Wright J, Yang J, Yu L, Zemel BS, Zonderman AB, Perola M, Magnusson PKE, Uitterlinden AG, Kooner JS, Chasman DI, Loos RJF, Franceschini N, Franke L, Haley CS, Hayward C, Walters RG, Perry JRB, Esko T, Helgason A, Stefansson K, Joshi PK, Kubo M, Wilson JF. Associations of autozygosity with a broad range of human phenotypes. Nat Commun 2019; 10:4957. [PMID: 31673082 PMCID: PMC6823371 DOI: 10.1038/s41467-019-12283-6] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 08/30/2019] [Indexed: 11/20/2022] Open
Abstract
In many species, the offspring of related parents suffer reduced reproductive success, a phenomenon known as inbreeding depression. In humans, the importance of this effect has remained unclear, partly because reproduction between close relatives is both rare and frequently associated with confounding social factors. Here, using genomic inbreeding coefficients (FROH) for >1.4 million individuals, we show that FROH is significantly associated (p < 0.0005) with apparently deleterious changes in 32 out of 100 traits analysed. These changes are associated with runs of homozygosity (ROH), but not with common variant homozygosity, suggesting that genetic variants associated with inbreeding depression are predominantly rare. The effect on fertility is striking: FROH equivalent to the offspring of first cousins is associated with a 55% decrease [95% CI 44-66%] in the odds of having children. Finally, the effects of FROH are confirmed within full-sibling pairs, where the variation in FROH is independent of all environmental confounding.
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Affiliation(s)
- David W Clark
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG, Scotland
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Osaka, 565-0871, Japan
| | | | - Dan Mason
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, BD96RJ, UK
| | - Nicola Pirastu
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG, Scotland
| | - Ilaria Gandin
- Research Unit, Area Science Park, Trieste, 34149, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Hannele Mattsson
- Unit of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Catriona L K Barnes
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG, Scotland
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
- Cardiovascular Epidemiology Unit, Department of Public health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Patrick Deelen
- Department of Genetics, University Medical Centre Groningen, University of Groningen, Groningen, the Netherlands, Groningen, Groningen, 9700 RB, The Netherlands
| | - Rebecca Rohde
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27514, USA
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, Ichan School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Xiuqing Guo
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, California, 90502, USA
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- Department of Cardiology, Ealing Hospital, Middlesex, Middlesex, UB1 3HW, UK
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, 3015 CN, The Netherlands
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Yanchun Bao
- Institute for Social and Economic Research, University of Essex, Colchester, CO4 3SQ, UK
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Clemens Baumbach
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Ginevra Biino
- Institute of Molecular Genetics, National Research Council of Italy, Pavia, 27100, Italy
| | - Matthew J Bixley
- Department of Biochemistry, University of Otago, Dunedin, 9054, New Zealand
| | - Marco Brumat
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Jin-Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore, 117549, Singapore
| | - Tanguy Corre
- Department of Computational Biology, University of Lausanne, Lausanne, 1011, Switzerland
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
| | - Diana L Cousminer
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Annelot M Dekker
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht University, Utrecht, 3584 CX, The Netherlands
| | - David A Eccles
- Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, 4059, Australia
- Malaghan Institute of Medical Research, Wellington, 6242, New Zealand
| | - Kristel R van Eijk
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht University, Utrecht, 3584 CX, The Netherlands
| | - Christian Fuchsberger
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, 39100, Italy
| | - He Gao
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK
| | - Marine Germain
- INSERM UMR_S 1166, Sorbonne Universités, Paris, 75013, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, 75013, France
| | - Scott D Gordon
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Hugoline G de Haan
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2333 ZA, The Netherlands
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, 8036, Austria
- Institute of Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, 8036, Austria
| | - Alicia Huerta-Chagoya
- CONACyT, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico, 03940, México
| | - Catherine Igartua
- Department of Human Genetics, University of Chicago, Chicago, IL, 60637, USA
| | - Iris E Jansen
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands
- Alzheimer Center Department of Neurology, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, 1081HV, The Netherlands
| | - Yucheng Jia
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, California, 90502, USA
| | - Tim Kacprowski
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany
- Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising-Weihenstephan, 85354, Germany
| | - Torgny Karlsson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 75108, Uppsala, Sweden
| | - Marcus E Kleber
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, Heidelberg University, Mannheim, 68167, Germany
| | - Shengchao Alfred Li
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick National Lab for Cancer Research, Frederick, MD, USA
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2333 ZA, The Netherlands
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Graduate school of Frontier Sciences, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Karina Meidtner
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Weihua Meng
- Medical Research Institute, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, UK
| | - May E Montasser
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland, School of Medicine, Baltimore, MD, 21201, USA
- Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland, School of Medicine, Baltimore, MD, 21201, USA
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Matthias Munz
- Institute for Cardiogenetics, University of Lübeck, Lübeck, 23562, Germany
- DZHK (German Research Centre for Cardiovascular Research), partner site Hamburg/Lübeck/Kiel, Lübeck, 23562, Germany
- University Heart Center Luebeck, Lübeck, 23562, Germany
- Charité - University Medicine Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute for Dental and Craniofacial Sciences, Department of Periodontology and Synoptic Dentistry, Berlin, Germany
| | - Teresa Nutile
- Institute of Genetics and Biophysics A. Buzzati-Traverso - CNR, Naples, 80131, Italy
| | - Teemu Palviainen
- Finnish Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Gauri Prasad
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110020, India
| | - Rashmi B Prasad
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Lund University, Skåne University Hospital, Malmö, 20502, Sweden
| | - Tallapragada Divya Sri Priyanka
- Genomic Research on Complex diseases (GRC Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, 500007, India
| | - Federica Rizzi
- ePhood Scientific Unit, ePhood SRL, Bresso (Milano), 20091, Italy
- Department of Health Sciences, University of Milano, Milano, 20139, Italy
| | - Erika Salvi
- Department of Health Sciences, University of Milano, Milano, 20139, Italy
- Neuroalgology Unit, IRCCS Foundation Carlo Besta Neurological Institute, Milano, 20133, Italy
| | - Bishwa R Sapkota
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892-5635, USA
| | - Line Skotte
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, DK-2300, Denmark
| | - Melissa C Smart
- Institute for Social and Economic Research, University of Essex, Colchester, CO4 3SQ, UK
| | - Albert Vernon Smith
- Icelandic Heart Association, Kopavogur, 201, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, 101, Iceland
| | - Ashley van der Spek
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | | | - Rona J Strawbridge
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8RZ, UK
- Cardiovascular Medicine Unit, Department of Medicine Solna, Centre for Molecular Medicine, Karolinska Institutet, Stockholm, 171 76, Sweden
| | - Salman M Tajuddin
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore City, Maryland, 21224, USA
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, 2300 RC, the Netherlands
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, 2300RC, the Netherlands
| | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Niek Verweij
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Ther Netherlands, Groningen, 9713 GZ, the Netherlands
| | - Clara Viberti
- Italian Institute for Genomic Medicine (IIGM) and Dept. Medical Sciences, University of Turin, Italy, Turin, 10126, Italy
| | - Lihua Wang
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110-1093, USA
| | - Helen R Warren
- NIHR Barts Cardiovascular Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Department of Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Robyn E Wootton
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, UK
- School of Psychological Science, University of Bristol, Bristol, BS8 1TU, UK
| | - Lisa R Yanek
- Department of Medicine, GeneSTAR Research Program, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Jie Yao
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, California, 90502, USA
| | - Noha A Yousri
- Department of Genetic Medicine, Weill Cornell Medicine Qatar, Doha, Qatar
- Computer and Systems Engineering, Alexandria University, Alexandria, Egypt
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892-5635, USA
| | - Saima Afaq
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
| | - Carlos Alberto Aguilar-Salinas
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico, 14080, México
- Unidad de Investigacion de Enfermades Metabolicas, Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, N.L., 64710, México
| | - Masato Akiyama
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Fukuoka, 812-8582, Japan
| | - Matthew L Albert
- Immunobiology of Dendritic Cells, Institut Pasteur, Paris, 75015, France
- Inserm U1223, Paris, 75015, France
- Centre for Translational Research, Institut Pasteur, Paris, 75015, France
- Department of Cancer Immunology, Genentech Inc, San Francisco, California, 94080, USA
| | - Matthew A Allison
- Division of Preventive Medicine, Department of Family Medicine and Public Health, UC San Diego School of Medicine, La Jolla, California, 92093, USA
| | - Maris Alver
- Estonian Genome Center, University of Tartu, University of Tartu, Tartu, 51010, Estonia
| | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore, 169857, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 119228, SG, Singapore
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, 19839-63113, Iran
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892-5635, USA
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Eric Boerwinkle
- Health Science Center at Houston, UTHealth School of Public Health, University of Texas, Houston, TX, 77030, USA
| | - Judith B Borja
- USC-Office of Population Studies Foundation, Inc., Department of Nutrition and Dietetics, Talamban, University of San Carlos, Cebu City, 6000, Cebu, Philippines
| | - Gert J de Borst
- Department of Vascular Surgery, Division of Surgical Specialties, University Medical Center Utrecht, University of Utrecht, Utrecht, Utrecht, 3584 CX, Netherlands
| | - Erwin P Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Ichan School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Digital Health Center, Hasso Plattner Institute, Universität Potsdam, Potsdam, 14482, Germany
| | - Linda Broer
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG, Scotland
| | - Stephen Chanock
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Miao-Li Chee
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore, 169856, Singapore
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892-5635, USA
| | - Yii-Der I Chen
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, California, 90502, USA
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Yen-Feng Chiu
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan, Taiwan
| | - Massimiliano Cocca
- Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, 34137, Italy
| | - Francis S Collins
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Maria Pina Concas
- Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, 34137, Italy
| | - Janie Corley
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Giovanni Cugliari
- Italian Institute for Genomic Medicine (IIGM) and Dept. Medical Sciences, University of Turin, Italy, Turin, 10126, Italy
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore, 117549, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, SG, Singapore
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, 02115, USA
| | - Anna Damulina
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, 8036, Austria
| | - Maryam S Daneshpour
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, 19839-63113, Iran
| | - Felix R Day
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Graciela E Delgado
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, Heidelberg University, Mannheim, 68167, Germany
| | - Klodian Dhana
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, 02115, USA
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Alexander S F Doney
- MEMO Research, Molecular and Clinical Medicine, University of Dundee, Dundee, DD19SY, UK
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, 17475, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, 17475, Germany
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892-5635, USA
| | - Nduna Dzimiri
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, KSA, 12713, Saudi Arabia
| | - S Sunna Ebenesersdóttir
- deCODE genetics/Amgen Inc., Reykjavik 101, Iceland
- Department of Anthropology, University of Iceland, Reykjavik, 101, Iceland
| | - Joshua Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK
- National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare NHS Trust and Imperial College London, London, UK
- UK Dementia Research Institute (UK DRI) at Imperial College London, London, UK
- Health Data Research UK - London, London, England
| | - Ralf Ewert
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, 17475, Germany
| | - Janine F Felix
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, 3015 CN, The Netherlands
- Department of Pediatrics, Erasmus University Medical Center, Rotterdam, 3015CN, The Netherlands
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, University of Tartu, Tartu, 51010, Estonia
| | - Barry I Freedman
- Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27101, US
| | - Giorgia Girotto
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
- Medical Genetics, Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy
| | - Anuj Goel
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK
| | - Martin Gögele
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, 39100, Italy
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, 90048, USA
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27514, USA
| | | | - Francine Grodstein
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Simonetta Guarrera
- Italian Institute for Genomic Medicine (IIGM) and Dept. Medical Sciences, University of Turin, Italy, Turin, 10126, Italy
| | - Daniel F Gudbjartsson
- deCODE genetics/Amgen Inc., Reykjavik 101, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, 101, Iceland
| | - Kamran Guity
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, 19839-63113, Iran
| | | | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Saskia P Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, 90089, USA
| | - Avner Halevy
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore City, Maryland, 21224, USA
| | - Mehdi Hedayati
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, 19839-63113, Iran
| | - David A van Heel
- Blizard Institute, Queen Mary University of London, London, E1 2AT, UK
| | - Makoto Hirata
- Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Imo Höfer
- Laboratory of Clinical Chemistry and Hematology, Division Laboratories and Pharmacy, University Medical Center Utrecht, University of Utrecht, Utrecht, Utrecht, 3584 CX, Netherlands
| | - Chao Agnes Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan, Taiwan
| | - Jinyan Huang
- Shanghai Institute of Hematology, State Key Laboratory Of Medical Genomics, Rui-jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 200025, China
| | - Yi-Jen Hung
- Division of Endocrine and Metabolism, Tri-Service General Hospital Songshan branch, Taipei, Taiwan, Taiwan
- School of Medicine, National Defense Medical Center, Taipei, Taiwan, Taiwan
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - Anuradha Jagadeesan
- deCODE genetics/Amgen Inc., Reykjavik 101, Iceland
- Department of Anthropology, University of Iceland, Reykjavik, 101, Iceland
| | - Pekka Jousilahti
- Unit of Public Health Promotion, National Institute for Health and Welfare, Helsinki, Finland
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, 606-8507, Japan
| | - Masahiro Kanai
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
| | - Nicola D Kerrison
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Thorsten Kessler
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, Munich, 80636, Germany
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SR, UK
| | - Chiea Chuen Khor
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore, 169856, Singapore
- Human Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore, 138672, Singapore
| | - Dominique P V de Kleijn
- Department of Vascular Surgery, Division of Surgical Specialties, University Medical Center Utrecht, University of Utrecht, Utrecht, Utrecht, 3584 CX, Netherlands
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore, 117549, Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore, 169857
| | - Ivana Kolcic
- Centre for Global Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Peter Kraft
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, 02115, USA
| | - Bernhard K Krämer
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, Heidelberg University, Mannheim, 68167, Germany
| | - Zoltán Kutalik
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Kuopio University Hospital, Kuopio, Finland
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore City, Maryland, 21224, USA
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, UK
- Bristol NIHR Biomedical Research Centre, Bristol, BS8 2BN, UK
- Population Health Science, Bristol Medical School, Bristol, BS8 2BY, UK
| | - I-Te Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan, Taipei, 112, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan, Taichung City, 402, Taiwan
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan, Taiwan
| | - Markus M Lerch
- Department of Internal Medicine A, University Medicine Greifswald, Greifswald, 17475, Germany
| | - Liming Li
- Department of Epidemiology and Biostatistics, Peking University Health Science Centre, Peking University, Beijing, 100191, China
| | - Jianjun Liu
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, SG, Singapore
- Human Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore, 138672, Singapore
| | - Marie Loh
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- Translational Laboratory in Genetic Medicine, Agency for Science, Technology and Research, Singapore (A*STAR), Singapore, 138648, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 117596, Singapore
| | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, Durham, NC, 27709, USA
| | - Stephanie Loomis
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, Ichan School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, University of Tartu, Tartu, 51010, Estonia
| | - Ani W Manichaikul
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Paolo Manunta
- Genomics of Renal Diseases and Hypertension Unit, IRCCS San Raffaele Scientific Institute, Università Vita Salute San Raffaele, Milano, 20132, Italy
| | - Gísli Másson
- deCODE genetics/Amgen Inc., Reykjavik 101, Iceland
| | - Nana Matoba
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - Xue W Mei
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Christa Meisinger
- Helmholtz Zentrum München, Independent Research Group Clinical Epidemiology, Neuherberg, 85764, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum Muenchen, Neuherberg, 85764, Germany
- Institute of Human Genetics, Technical University of Munich, Munich, 81675, Germany
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, 80802, Germany
| | - Massimo Mezzavilla
- Medical Genetics, Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy
| | - Lili Milani
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - Amy Moore
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Pierre-Emmanuel Morange
- Laboratory of Haematology, La Timone Hospital, Marseille, France
- INSERM UMR_S 1263, Center for CardioVascular and Nutrition research (C2VN), Aix-Marseille University, Marseille, France
| | | | - Trevor A Mori
- Medical School, The University of Western Australia, Perth, Western Australia/Australia, 6009, Australia
| | - Alanna C Morrison
- The University of Texas Health Science Center at Houston, School of Public Health, Department of Epidemiology, Human Genetics and Environmental Sciences, Houston, Texas, 77030, USA
| | - Taulant Muka
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Yoshinori Murakami
- Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Alison D Murray
- The Institute of Medical Sciences, Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, AB25 2ZD, UK
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2333 ZA, The Netherlands
| | - Josyf C Mychaleckyj
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Mike A Nalls
- Laboratory of Neurogenetics, Bethesda, MD, 20892, USA
- Data Tecnica International LLC, Glen Echo, MD, 20812, USA
| | - Matthias Nauck
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, 17475, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, 17475, Germany
| | - Matt J Neville
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Headington, Oxford, OX3 7LJ, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, UK
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Ken K Ong
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
- Department of Paediatrics, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Lorena Orozco
- Instituto Nacional de Medicina Genómica, Mexico, 14610, México
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | | | - James S Pankow
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, 55454, USA
| | - Cristian Pattaro
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, 39100, Italy
| | - Alison Pattie
- Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Ozren Polasek
- Centre for Global Health, Faculty of Medicine, University of Split, Split, Croatia
- Gen-info Ltd, Zagreb, Croatia, Zagreb, Select a Province, 10000, Croatia
| | - Neil Poulter
- International Centre for Circulatory Health, Imperial College London, London, W2 1PG, UK
- Imperial Clinical Trials Unit, Imperial College London, London, London, W12 7TA, UK
| | - Peter P Pramstaller
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, 39100, Italy
| | - Lluis Quintana-Murci
- Human Evolutionary Genetics Unit, Institut Pasteur, Paris, 75015, France
- Centre National de la Recherche Scientifique (CNRS) UMR2000, Paris, 75015, France
- Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, Paris, 75015, France
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, University of Helsinki, Helsinki, 00014, Finland
| | - Sarju Ralhan
- Hero Heart Institute and Dyanand Medical College and Hospital, Ludhiana, Punjab, India
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Wouter van Rheenen
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht University, Utrecht, 3584 CX, The Netherlands
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Cornelius A Rietveld
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands
| | - Antonietta Robino
- Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, 34137, Italy
| | - Frank J A van Rooij
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics A. Buzzati-Traverso - CNR, Naples, 80131, Italy
- IRCCS Neuromed, Pozzilli (IS), 86077, Italy
| | - Yasaman Saba
- Gottfried Schatz Research Center (for Cell Signaling, Metabolism and Aging), Division of Molecular Biology and Biochemistry, Medical University of Graz, 8010, Graz, Austria
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore, 169857, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 119228, SG, Singapore
| | - Maria Sabater-Lleal
- Cardiovascular Medicine Unit, Department of Medicine Solna, Centre for Molecular Medicine, Karolinska Institutet, Stockholm, 171 76, Sweden
- Unit of Genomics of Complex Diseases, Institut de Recerca Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, Barcelona, Spain
| | | | - Veikko Salomaa
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, FI-00271, Finland
| | - Kevin Sandow
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, California, 90502, USA
| | - Helena Schmidt
- Gottfried Schatz Research Center (for Cell Signaling, Metabolism and Aging), Division of Molecular Biology and Biochemistry, Medical University of Graz, 8010, Graz, Austria
| | - Laura J Scott
- Department of Biostatistics, and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - William R Scott
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
| | - Bahareh Sedaghati-Khayat
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, 19839-63113, Iran
| | - Bengt Sennblad
- Cardiovascular Medicine Unit, Department of Medicine Solna, Centre for Molecular Medicine, Karolinska Institutet, Stockholm, 171 76, Sweden
- Dept of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, SE-752 37, Uppsala, Sweden
| | - Jessica van Setten
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, Utrecht, 3485 CX, Netherlands
| | - Peter J Sever
- International Centre for Circulatory Health, Imperial College London, London, W2 1PG, UK
| | - Wayne H-H Sheu
- School of Medicine, National Defense Medical Center, Taipei, Taiwan, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan, Taiwan
- Institute of Medical Technology, National Chung-Hsing University, Taichung, Taiwan, Taiwan
| | - Yuan Shi
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore, 169856, Singapore
| | - Smeeta Shrestha
- Genomic Research on Complex diseases (GRC Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, 500007, India
- School of Basic and Applied Sciences, Dayananda Sagar University, Bangalore, Karnataka, 560078, India
| | - Sharvari Rahul Shukla
- Diabetes Unit, KEM Hospital and Research Centre, Pune, Maharashtra, 411101, India
- Symbiosis Statistical Institute, Symbiosis International University, Pune, Maharashtra, 411007, India
| | | | - Timo Tonis Sikka
- Estonian Genome Center, University of Tartu, University of Tartu, Tartu, 51010, Estonia
| | | | - Blair H Smith
- Division of Population Health Sciences, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK
| | - Alena Stančáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Alice Stanton
- RCSI Molecular & Cellular Therapeutics (MCT), Royal College of Surgeons in Ireland, RCSI Education & Research Centre, Beaumont Hospital, Dublin 9, Ireland
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, EH8 9JZ, Scotland
| | | | - Leon Straker
- School of Physiotherapy and Exercise Science, Faculty of Health Sciences, Curtin University, Perth, Western Australia/Australia, 6102, Australia
| | | | | | - Morris A Swertz
- Department of Genetics, University Medical Centre Groningen, University of Groningen, Groningen, the Netherlands, Groningen, Groningen, 9700 RB, The Netherlands
| | - Adele M Taylor
- Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Kent D Taylor
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, California, 90502, USA
| | - Natalie Terzikhan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, 9000, Belgium
| | - Yih-Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore, 169857, Singapore
| | | | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen Inc., Reykjavik 101, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, 101, Iceland
| | - Annika Tillander
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Russell P Tracy
- Department of Pathology, University of Vermont, Colchester, VT, 05446, USA
| | - Teresa Tusié-Luna
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, UNAM, Mexico, 04510, México
- Unidad De Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico, 14080, México
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, 45110, Greece
| | - Simona Vaccargiu
- Institute of Genetic and Biomedical Research - Support Unity, National Research Council of Italy, Rome, Italy
| | - Jagadish Vangipurapu
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jan H Veldink
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht University, Utrecht, 3584 CX, The Netherlands
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, Scotland
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, 17475, Germany
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, FI-00014, Finland
| | - Salma M Wakil
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, KSA, 12713, Saudi Arabia
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Gurpreet S Wander
- Department of Cardiology, Hero DMC Heart Institute, Dayanand Medical College & Hospital, Ludhiana, Punjab, 141001, India
| | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Lab, Beijing, China, 100005, China
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Sarah Wild
- Centre for Population Health Sciences, Usher Institute of Population Health and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, Scotland
| | | | - Jian-Min Yuan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Lingyao Zeng
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, Munich, 80636, Germany
| | - Liang Zhang
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore, 169856, Singapore
| | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892-5635, USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - Folkert W Asselbergs
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, Utrecht, 3584 CX, Netherlands
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, WC1E 6DD, UK
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, Netherlands
- Farr Institute of Health Informatics Research and Institute of Health Informatics, University College London, London, UK
| | - Stephan J L Bakker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, 9713GZ, The Netherlands
| | - Diane M Becker
- Department of Medicine, GeneSTAR Research Program, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Leonard H van den Berg
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht University, Utrecht, 3584 CX, The Netherlands
| | - Sonja I Berndt
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Dwaipayan Bharadwaj
- Systems Genomics Laboratory, School of Biotechnology, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Murielle Bochud
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Mike Boehnke
- Department of Biostatistics, and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Claude Bouchard
- Pennington Biomedical Research Center, Baton Rouge, Louisiane, 70808, USA
| | - Jonathan P Bradfield
- Center for Applied Genomics, Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Quantinuum Research LLC, San Diego, CA, 92101, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Archie Campbell
- Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Shai Carmi
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Mark J Caulfield
- NIHR Barts Cardiovascular Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Department of Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
| | - David Cesarini
- Center for Experimental Social Science, Department of Economics, New York University, New York, New York, 10012, USA
- Research Institute for Industrial Economics (IFN), Stockholm, 102 15, Sweden
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- Department of Cardiology, Ealing Hospital, Middlesex, Middlesex, UB1 3HW, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore
- Imperial College Healthcare NHS Trust, London, London, W12 0HS, UK
| | - Giriraj Ratan Chandak
- Genomic Research on Complex diseases (GRC Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, 500007, India
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore, 169857, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 119228, SG, Singapore
| | - Marina Ciullo
- Institute of Genetics and Biophysics A. Buzzati-Traverso - CNR, Naples, 80131, Italy
- IRCCS Neuromed, Pozzilli (IS), 86077, Italy
| | - Marilyn Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Daniele Cusi
- Department of Health Sciences, University of Milano, Milano, 20139, Italy
- Institute of Biomedical Technologies Milano, National Research Council of Italy (CNR), Segrate (Milano), 20090, Italy
- Bio4Dreams Scientific Unit, Bio4Dreams SRL, Bio4Dreams - business nursery for life sciences, Milano, 20121, Italy
| | - George Davey Smith
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, UK
- Population Health Science, Bristol Medical School, Bristol, BS8 2BY, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Rajkumar Dorajoo
- Human Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore, 138672, Singapore
| | - Cornelia M van Duijn
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24105, Kiel, Germany
| | - Jeanette Erdmann
- Institute for Cardiogenetics, University of Lübeck, Lübeck, 23562, Germany
| | - Johan G Eriksson
- Department of General Practice and Primary health Care, University of Helsinki, Tukholmankatu 8 B, Helsinki, 00014, Finland
- National Institute for Health and Welfare, Helsinki, Finland
- Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland
- Folkhälsan Research Centre, Helsinki, Finland
- Vasa Central Hospital, Vaasa, Finland
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, 45110, Greece
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore City, Maryland, 21224, USA
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48014, USA
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, DK-2300, Denmark
| | - Mary Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110-1093, USA
| | | | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24105, Kiel, Germany
| | - Yechiel Friedlander
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Paolo Gasparini
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
- Medical Genetics, Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Clicerio Gonzalez
- Centro de Estudios en Diabetes, Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Centro de Investigacion en Salud Poblacional, Instituto Nacional de Salud Publica, Cuernavaca, 01120, México
| | | | - Struan F A Grant
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Center for Applied Genomics, Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lyn R Griffiths
- Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, 4059, Australia
| | - Leif Groop
- Finnish Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Lund University, Skåne University Hospital, Malmö, 20502, Sweden
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, 201, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, 101, Iceland
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 75108, Uppsala, Sweden
| | - Hakon Hakonarson
- Center for Applied Genomics, Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Anders Hamsten
- Cardiovascular Medicine Unit, Department of Medicine Solna, Centre for Molecular Medicine, Stockholm, 171 76, Sweden
| | - Pim van der Harst
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Ther Netherlands, Groningen, 9713 GZ, the Netherlands
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Andrew A Hicks
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, 39100, Italy
| | - Hagit Hochner
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Heikki Huikuri
- Research Unit of Internal Medicine, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, 90014, Finland
| | - Steven C Hunt
- Department of Genetic Medicine, Weill Cornell Medicine Qatar, Doha, Qatar
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, 84108, USA
| | - Vincent W V Jaddoe
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, 3015 CN, The Netherlands
- Department of Pediatrics, Erasmus University Medical Center, Rotterdam, 3015CN, The Netherlands
| | - Philip L De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, 650 West 168th street, PH19-311, Newyork, NY, 10032, USA
- Cell Circuits Program, Broad Institute, Cambridge, MA, 02142, USA
| | - Magnus Johannesson
- Department of Economics, Stockholm School of Economics, Stockholm, SE-113 83, Sweden
| | - Åsa Johansson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 75108, Uppsala, Sweden
| | - Jost B Jonas
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Lab, Beijing, China, 100005, China
- Department of Ophthalmology, Medical Faculty Mannheim of the Ruprecht-Karls-University of Heidelberg, Mannheim, 698167, Germany
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, 2300 RC, the Netherlands
| | - Juhani Junttila
- Research Unit of Internal Medicine, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, 90014, Finland
| | - Jaakko Kaprio
- Finnish Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, FI-00014, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Fredrik Karpe
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Headington, Oxford, OX3 7LJ, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Meena Kumari
- Institute for Social and Economic Research, University of Essex, Colchester, CO4 3SQ, UK
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Kuopio University Hospital, Kuopio, Finland
| | - Sander W van der Laan
- Laboratory of Clinical Chemistry and Hematology, Division Laboratories and Pharmacy, University Medical Center Utrecht, University of Utrecht, Utrecht, 3584 CX, Netherlands
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, University of Helsinki, Helsinki, 00014, Finland
- Helsinki Collegium for Advanced Studies, University of Helsinki, University of Helsinki, Helsinki, 00014, Finland
| | - Matthias Laudes
- University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Kiel, 24105, Germany
| | - Rodney A Lea
- Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, 4059, Australia
| | - Wolfgang Lieb
- Institute of Epidemiology and PopGen Biobank, University of Kiel, Kiel, Schleswig Holstein, 24105, Germany
| | - Thomas Lumley
- Department of Statistics, University of Auckland, Auckland, New Zealand
| | | | - Winfried März
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, Heidelberg University, Mannheim, 68167, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
- Synlab Academy, Synlab Holding Deutschland GmbH, Mannheim, Germany
| | - Giuseppe Matullo
- Italian Institute for Genomic Medicine (IIGM) and Dept. Medical Sciences, University of Turin, Italy, Turin, 10126, Italy
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Headington, Oxford, OX3 7LJ, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Sarah E Medland
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, 9054, New Zealand
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, University of Tartu, Tartu, 51010, Estonia
| | - Brian F Meyer
- Department of Genetics, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Grant W Montgomery
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia
| | - Dennis Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2333 ZA, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, 2333 ZA, The Netherlands
| | - Patricia B Munroe
- NIHR Barts Cardiovascular Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Department of Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27514, USA
| | - Dale R Nyholt
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia
| | - Jeffery R O'connell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland, School of Medicine, Baltimore, MD, 21201, USA
- Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland, School of Medicine, Baltimore, MD, 21201, USA
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, IL, 60637, USA
| | - Albertine J Oldehinkel
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Walter Palmas
- Department of Medicine, Columbia University Medical Center, New York, New York, USA
| | - Colin Palmer
- Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, The School of Medicine, University of Dundee, Dundee, DD1 9SY, UK
| | - Gerard G Pasterkamp
- Laboratory of Clinical Chemistry and Hematology, Division Laboratories and Pharmacy, University Medical Center Utrecht, University of Utrecht, Utrecht, Utrecht, 3584 CX, Netherlands
| | - Etienne Patin
- Human Evolutionary Genetics Unit, Institut Pasteur, Paris, 75015, France
- Centre National de la Recherche Scientifique (CNRS) UMR2000, Paris, 75015, France
- Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, Paris, 75015, France
| | - Craig E Pennell
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, New South Wales, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia/Australia, 6009, Australia
| | - Louis Perusse
- Department of kinesiology, Laval University, Quebec, QC, G1V 0A6, Canada
- Institute of Nutrition and Functional Foods, Laval University, Quebec, QC, G1V 0A6, Canada
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Mario Pirastu
- Institute of Genetic and Biomedical Research - Support Unity, National Research Council of Italy, Sassari, 07100, Italy
| | - Tinca J C Polderman
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands
| | - David J Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands
- Department of Clinical Genetics, Amsterdam Neuroscience, VU Medical Centre, Amsterdam, 1081HV, The Netherlands
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Epidemiology, Medicine and Health Services, University of Washington, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - John D Rioux
- Montreal Heart Institute, Montreal, QC, Canada
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, H3T 1J4, Canada
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, 3015 CN, The Netherlands
| | - Charles Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892-5635, USA
| | - Jerome I Rotter
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, California, 90502, USA
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG, Scotland
| | - Hester M Den Ruijter
- Laboratory of Experimental Cardiology, Division Heart & Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, Utrecht, 3584 CX, Netherlands
| | - Dharambir K Sanghera
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- Oklahoma Center for Neuroscience, Oklahoma City, OK, 73104, USA
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, 8036, Austria
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - Heribert Schunkert
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, Munich, 80636, Germany
- Deutsches Zentrum für Herz- und Kreislauferkrankungen (DZHK), Munich Heart Alliance, Munich, 80636, Germany
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Alan R Shuldiner
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland, School of Medicine, Baltimore, MD, 21201, USA
- Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland, School of Medicine, Baltimore, MD, 21201, USA
- Regeneron Genetics Center, Regeneron Pharmaceuticals, Inc, Tarrytown, NY, 10591-6607, USA
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore, 117549, Singapore
| | - Neil Small
- Faculty of Health Studies, University of Bradford, Bradford, West Yorkshire, BD7 1DP, UK
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48014, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, University of Washington, Seattle, WA, 98101, USA
| | - E-Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore, 117549, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, SG, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore, 169857, SG, Singapore
| | - Alexander Teumer
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, 17475, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, 17475, Germany
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PR, UK
- Avon Longitudinal Study of Parents and Children (ALSPAC), University of Bristol, Bristol, BS8 2PR, UK
| | | | | | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Endocrinology, Abdominal Centre, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Research Program of Diabetes and Endocrinology, University of Helsinki, Helsinki, Finland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, 1011, Switzerland
| | - Carol A Wang
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, New South Wales, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia/Australia, 6009, Australia
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48014, USA
| | - John B Whitfield
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Cisca Wijmenga
- Department of Genetics, University Medical Centre Groningen, University of Groningen, Groningen, the Netherlands, Groningen, Groningen, 9700 RB, The Netherlands
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore, 169857, Singapore
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, BD96RJ, UK
| | - Jingyun Yang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Babette S Zemel
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Division of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA, 19146, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore City, Maryland, 21224, USA
| | - Markus Perola
- Unit of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, 00271, Finland
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, 3015 CN, The Netherlands
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, Middlesex, Middlesex, UB1 3HW, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK
- Imperial College Healthcare NHS Trust, London, London, W12 0HS, UK
- National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Ichan School of Medicine at Mount Sinai, New York, NY, 10029, USA
- The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27514, USA
| | - Lude Franke
- Department of Genetics, University Medical Centre Groningen, University of Groningen, Groningen, the Netherlands, Groningen, Groningen, 9700 RB, The Netherlands
| | - Chris S Haley
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, Scotland
- Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, Scotland
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, Scotland
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - John R B Perry
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Tōnu Esko
- Estonian Genome Center, University of Tartu, University of Tartu, Tartu, 51010, Estonia
- Program in Medical and Population Genetics, Broad Institute, Broad Institute, Cambridge, MASSACHUSETTS, 02142, USA
| | - Agnar Helgason
- deCODE genetics/Amgen Inc., Reykjavik 101, Iceland
- Department of Anthropology, University of Iceland, Reykjavik, 101, Iceland
| | - Kari Stefansson
- deCODE genetics/Amgen Inc., Reykjavik 101, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, 101, Iceland
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG, Scotland
| | - Michiaki Kubo
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - James F Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG, Scotland.
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, Scotland.
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Affiliation(s)
- Rashmi B Prasad
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.
| | - Emma Ahlqvist
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - Leif Groop
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden; Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, Finland
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Abstract
Understanding the molecular mechanisms behind beta cell dysfunction is essential for the development of effective and specific approaches for diabetes care and prevention. Physiological human beta cell models are needed for this work. We review the possibilities and limitations of currently available human beta cell models and how they can be dramatically enhanced using genome-editing technologies. In addition to the gold standard, primary isolated islets, other models now include immortalised human beta cell lines and pluripotent stem cell-derived islet-like cells. The scarcity of human primary islet samples limits their use, but valuable gene expression and functional data from large collections of human islets have been made available to the scientific community. The possibilities for studying beta cell physiology using immortalised human beta cell lines and stem cell-derived islets are rapidly evolving. However, the functional immaturity of these cells is still a significant limitation. CRISPR-Cas9 (Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated protein 9) has enabled precise engineering of specific genetic variants, targeted transcriptional modulation and genome-wide genetic screening. These approaches can now be exploited to gain understanding of the mechanisms behind coding and non-coding diabetes-associated genetic variants, allowing more precise evaluation of their contribution to diabetes pathogenesis. Despite all the progress, genome editing in primary pancreatic islets remains difficult to achieve, an important limitation requiring further technological development.
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Affiliation(s)
- Diego Balboa
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, PO Box 63, (Haartmaninkatu 8), FI-00014, Helsinki, Finland
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Rashmi B Prasad
- Genomics, Diabetes and Endocrinology, Lund University Diabetes Centre, CRC, Malmö, Sweden
| | - Leif Groop
- Genomics, Diabetes and Endocrinology, Lund University Diabetes Centre, CRC, Malmö, Sweden
- Institute of Molecular Medicine, Centre of Excellence in Complex Disease Genetics, University of Helsinki, Helsinki, Finland
| | - Timo Otonkoski
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, PO Box 63, (Haartmaninkatu 8), FI-00014, Helsinki, Finland.
- Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
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Arora GP, Åkerlund M, Brøns C, Moen GH, Wasenius NS, Sommer C, Jenum AK, Almgren P, Thaman RG, Orho-Melander M, Eriksson J, Qvigstad E, Birkeland K, Berntorp K, Vaag AA, Groop L, Prasad RB. Phenotypic and genotypic differences between Indian and Scandinavian women with gestational diabetes mellitus. J Intern Med 2019; 286:192-206. [PMID: 30919529 DOI: 10.1111/joim.12903] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) is a transient form of diabetes characterized by impaired insulin secretion and action during pregnancy. Population-based differences in prevalence exist which could be explained by phenotypic and genetic differences. The aim of this study was to examine these differences in pregnant women from Punjab, India and Scandinavia. METHODS Eighty-five GDM/T2D loci in European and/or Indian populations from previous studies were assessed for association with GDM based on Swedish GDM criteria in 4018 Punjabi Indian and 507 Swedish pregnant women. Selected loci were replicated in Scandinavian cohorts, Radiel (N = 398, Finnish) and STORK/STORK-G (N = 780, Norwegian). RESULTS Punjabi Indian women had higher GDM prevalence, lower insulin secretion and better insulin sensitivity than Swedish women. There were significant frequency differences of GDM/T2D risk alleles between both populations. rs7178572 at HMG20A, previously associated with GDM in South Indian and European women, was replicated in North Indian women. The T2D risk SNP rs11605924 in the CRY2 gene was associated with increased GDM risk in Scandinavian but decreased GDM risk in Punjabi Indian women. No other overlap was seen between GDM loci in both populations. CONCLUSIONS Gestational diabetes mellitus is more common in Indian than Swedish women, which partially can be attributed to differences in insulin secretion and action. There was marked heterogeneity in the GDM phenotypes between the populations which could only partially be explained by genetic differences.
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Affiliation(s)
- G P Arora
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Deep Hospital, Ludhiana, Punjab, India
| | - M Åkerlund
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - C Brøns
- Department of Endocrinology (Diabetes and Metabolism), Rigshospitalet, Copenhagen, Denmark
| | - G-H Moen
- Department of Endocrinology Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.,Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - N S Wasenius
- Folkhälsan Research Center, Biomedicum Helsinki, Helsinki, Finland.,Department of General Practice and Primary Health Care, Diabetes and Obesity Research Program Research Programs Unit, University of Helsinki, Helsinki, Finland
| | - C Sommer
- Department of Endocrinology Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - A K Jenum
- Department of General Practice, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - P Almgren
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | | | - M Orho-Melander
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - J Eriksson
- Department of General Practice and Primary Health Care, Diabetes and Obesity Research Program Research Programs Unit, University of Helsinki, Helsinki, Finland
| | - E Qvigstad
- Department of Endocrinology Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.,Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, Oslo, Norway
| | - K Birkeland
- Department of Endocrinology Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.,Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - K Berntorp
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Department of Endocrinology, Skåne University Hospital, Malmö, Sweden
| | - A A Vaag
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Department of Endocrinology (Diabetes and Metabolism), Rigshospitalet, Copenhagen, Denmark.,Cardiovascular, Renal and Metabolism (CVRM) Translational Medicine Unit, Early Clinical development, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - L Groop
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, Finland
| | - R B Prasad
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
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Singh T, Colberg JK, Sarmiento L, Chaves P, Hansen L, Bsharat S, Cataldo LR, Dudenhöffer-Pfeifer M, Fex M, Bryder D, Holmberg D, Sitnicka E, Cilio C, Prasad RB, Artner I. Loss of MafA and MafB expression promotes islet inflammation. Sci Rep 2019; 9:9074. [PMID: 31235823 PMCID: PMC6591483 DOI: 10.1038/s41598-019-45528-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 06/06/2019] [Indexed: 12/15/2022] Open
Abstract
Maf transcription factors are critical regulators of beta-cell function. We have previously shown that reduced MafA expression in human and mouse islets is associated with a pro-inflammatory gene signature. Here, we investigate if the loss of Maf transcription factors induced autoimmune processes in the pancreas. Transcriptomics analysis showed expression of pro-inflammatory as well as immune cell marker genes. However, clusters of CD4+ T and B220+ B cells were associated primarily with adult MafA−/−MafB+/−, but not MafA−/− islets. MafA expression was detected in the thymus, lymph nodes and bone marrow suggesting a novel role of MafA in regulating immune-cell function. Analysis of pancreatic lymph node cells showed activation of CD4+ T cells, but lack of CD8+ T cell activation which also coincided with an enrichment of naïve CD8+ T cells. Further analysis of T cell marker genes revealed a reduction of T cell receptor signaling gene expression in CD8, but not in CD4+ T cells, which was accompanied with a defect in early T cell receptor signaling in mutant CD8+ T cells. These results suggest that loss of MafA impairs both beta- and T cell function affecting the balance of peripheral immune responses against islet autoantigens, resulting in local inflammation in pancreatic islets.
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Affiliation(s)
- Tania Singh
- Stem Cell Center, Lund University, Klinikgatan 26, Lund, 22184, Sweden.,Lund University Diabetes Center, Jan Waldenströms gata 35, Malmö, 21428, Sweden
| | - Jesper K Colberg
- Stem Cell Center, Lund University, Klinikgatan 26, Lund, 22184, Sweden
| | - Luis Sarmiento
- Lund University Diabetes Center, Jan Waldenströms gata 35, Malmö, 21428, Sweden
| | - Patricia Chaves
- Stem Cell Center, Lund University, Klinikgatan 26, Lund, 22184, Sweden
| | - Lisbeth Hansen
- Lund University Diabetes Center, Jan Waldenströms gata 35, Malmö, 21428, Sweden
| | - Sara Bsharat
- Stem Cell Center, Lund University, Klinikgatan 26, Lund, 22184, Sweden.,Lund University Diabetes Center, Jan Waldenströms gata 35, Malmö, 21428, Sweden
| | - Luis R Cataldo
- Stem Cell Center, Lund University, Klinikgatan 26, Lund, 22184, Sweden.,Lund University Diabetes Center, Jan Waldenströms gata 35, Malmö, 21428, Sweden
| | | | - Malin Fex
- Lund University Diabetes Center, Jan Waldenströms gata 35, Malmö, 21428, Sweden
| | - David Bryder
- Stem Cell Center, Lund University, Klinikgatan 26, Lund, 22184, Sweden
| | - Dan Holmberg
- Lund University Diabetes Center, Jan Waldenströms gata 35, Malmö, 21428, Sweden
| | - Ewa Sitnicka
- Stem Cell Center, Lund University, Klinikgatan 26, Lund, 22184, Sweden
| | - Corrado Cilio
- Lund University Diabetes Center, Jan Waldenströms gata 35, Malmö, 21428, Sweden
| | - Rashmi B Prasad
- Lund University Diabetes Center, Jan Waldenströms gata 35, Malmö, 21428, Sweden
| | - Isabella Artner
- Stem Cell Center, Lund University, Klinikgatan 26, Lund, 22184, Sweden. .,Lund University Diabetes Center, Jan Waldenströms gata 35, Malmö, 21428, Sweden.
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Abstract
Little is known about the expression and function of Retinoic acid-related orphan receptors (RORA, B, and C) in pancreatic β cells. Here in, we utilized cDNA microarray and RNA sequencing approaches to investigate the expression pattern of ROR receptors in normal and diabetic human pancreatic islets. Possible correlations between RORs expression and HbA1c levels as well as insulin secretory capacity in isolated human islets were evaluated. The impact of RORB and RORC expression on insulin secretion in INS-1 (832/13) cells was validated as well. While RORA was the highest expressed gene among the three RORs in human islet cells, RORC was the highest expressed in INS-1 cells (832/13) and while RORB was the lowest expressed gene in human islet cells, RORA was the highest expressed in INS-1 cells (832/13). The expression of RORB and RORC was significantly lower in diabetic/hyperglycemic donors as compared with non-diabetic counterparts. Furthermore, while the expression of RORB correlated positively with insulin secretion and negatively with HbA1c, that of RORC correlated negatively with HbA1c. The expression pattern of RORA did not correlate with either of the two parameters. siRNA silencing of RORB or RORC in INS-1 (832/13) cells resulted in a significant downregulation of insulin mRNA expression and insulin secretion. These findings suggest that RORB and RORC are part of the molecular cascade that regulates insulin secretion in pancreatic β cells; and insight that provides for further work on the potential therapeutic utility of RORB and RORC genes in β cell dysfunction in type 2 diabetes.
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Affiliation(s)
- Jalal Taneera
- Sharjah Institute for Medical Research, University of Sharjah, Sharjah, UAE
- CONTACT Jalal Taneera Sharjah Institute for Medical Research, University of Sharjah, Sharjah, UAE
| | | | - Sarah Dhaiban
- Sharjah Institute for Medical Research, University of Sharjah, Sharjah, UAE
| | - Mawieh Hamad
- Sharjah Institute for Medical Research, University of Sharjah, Sharjah, UAE
| | - Rashmi B. Prasad
- Department of Clinical Science, Division of Islet Cell Physiology, Lund University, Malmö, Sweden
| | - Nabil Sulaiman
- Sharjah Institute for Medical Research, University of Sharjah, Sharjah, UAE
| | - Albert Salehi
- Department of Clinical Science, Division of Islet Cell Physiology, Lund University, Malmö, Sweden
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Abstract
The Precision Medicine Initiative defines precision medicine as 'an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment and lifestyle for each person'. This approach will facilitate more accurate treatment and prevention strategies in contrast to a one-size-fits-all approach, in which disease treatment and prevention strategies are developed for generalized usage. Diabetes is clearly more heterogeneous than the conventional subclassification into type 1 and type 2 diabetes. Monogenic forms of diabetes like MODY and neonatal diabetes have paved the way for precision medicine in diabetes, as carriers of unique mutations require unique treatment. Diagnosis of diabetes in the past has been dependent upon measuring one metabolite, glucose. By instead including six variables in a clustering analysis, we could break down diabetes into five distinct subgroups, with better prediction of disease progression and outcome. The severe insulin-resistant diabetes (SIRD) cluster showed the highest risk of kidney disease and highest prevalence of nonalcoholic fatty liver disease, whereas patients in the insulin-deficient cluster 2 (SIDD) had the highest risk of retinopathy. In the future, this will certainly be improved and expanded by including genetic, epigenetic and other biomarker to allow better prediction of outcome and choice of more precise treatment.
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Affiliation(s)
- R B Prasad
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - L Groop
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, Finland
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Singh T, Sarmiento L, Luan C, Prasad RB, Johansson J, Cataldo LR, Renström E, Soneji S, Cilio C, Artner I. MafA Expression Preserves Immune Homeostasis in Human and Mouse Islets. Genes (Basel) 2018; 9:genes9120644. [PMID: 30567413 PMCID: PMC6315686 DOI: 10.3390/genes9120644] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 12/12/2018] [Indexed: 02/07/2023] Open
Abstract
Type 1 (T1D) and type 2 (T2D) diabetes are triggered by a combination of environmental and/or genetic factors. Maf transcription factors regulate pancreatic beta (β)-cell function, and have also been implicated in the regulation of immunomodulatory cytokines like interferon-β (IFNβ1). In this study, we assessed MAFA and MAFB co-expression with pro-inflammatory cytokine signaling genes in RNA-seq data from human pancreatic islets. Interestingly, MAFA expression was strongly negatively correlated with cytokine-induced signaling (such as IFNAR1, DDX58) and T1D susceptibility genes (IFIH1), whereas correlation of these genes with MAFB was weaker. In order to evaluate if the loss of MafA altered the immune status of islets, MafA deficient mouse islets (MafA−/−) were assessed for inherent anti-viral response and susceptibility to enterovirus infection. MafA deficient mouse islets had elevated basal levels of Ifnβ1, Rig1 (DDX58 in humans), and Mda5 (IFIH1) which resulted in reduced virus propagation in response to coxsackievirus B3 (CVB3) infection. Moreover, an acute knockdown of MafA in β-cell lines also enhanced Rig1 and Mda5 protein levels. Our results suggest that precise regulation of MAFA levels is critical for islet cell-specific cytokine production, which is a critical parameter for the inflammatory status of pancreatic islets.
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Affiliation(s)
- Tania Singh
- Stem Cell Center, Lund University, 22184, Lund, Sweden.
| | | | - Cheng Luan
- Lund University Diabetes Center, 22184, Lund, Sweden.
| | | | | | | | - Erik Renström
- Lund University Diabetes Center, 22184, Lund, Sweden.
| | - Shamit Soneji
- Stem Cell Center, Lund University, 22184, Lund, Sweden.
| | - Corrado Cilio
- Lund University Diabetes Center, 22184, Lund, Sweden.
| | - Isabella Artner
- Stem Cell Center, Lund University, 22184, Lund, Sweden.
- Lund University Diabetes Center, 22184, Lund, Sweden.
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45
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Moen GH, LeBlanc M, Sommer C, Prasad RB, Lekva T, Normann KR, Qvigstad E, Groop L, Birkeland KI, Evans DM, Frøslie KF. Genetic determinants of glucose levels in pregnancy: genetic risk scores analysis and GWAS in the Norwegian STORK cohort. Eur J Endocrinol 2018; 179:363-372. [PMID: 30324795 DOI: 10.1530/eje-18-0478] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 09/18/2018] [Indexed: 12/18/2022]
Abstract
Objective Hyperglycaemia during pregnancy increases the risk of adverse health outcomes in mother and child, but the genetic aetiology is scarcely studied. Our aims were to (1) assess the overlapping genetic aetiology between the pregnant and non-pregnant population and (2) assess the importance of genome-wide polygenic contributions to glucose traits during pregnancy, by exploring whether genetic risk scores (GRSs) for fasting glucose (FG), 2-h glucose (2hG), type 2 diabetes (T2D) and BMI in non-pregnant individuals were associated with glucose measures in pregnant women. Methods We genotyped 529 Norwegian pregnant women and constructed GRS from known genome-wide significant variants and SNPs weakly associated (p > 5 × 10-8) with FG, 2hG, BMI and T2D from external genome-wide association studies (GWAS) and examined the association between these scores and glucose measures at gestational weeks 14-16 and 30-32. We also performed GWAS of FG, 2hG and shape information from the glucose curve during an oral glucose tolerance test (OGTT). Results GRSFG explained similar variance during pregnancy as in the non-pregnant population (~5%). GRSBMI and GRST2D explained up to 1.3% of the variation in the glucose traits in pregnancy. If we included variants more weakly associated with these traits, GRS2hG and GRST2D explained up to 2.4% of the variation in the glucose traits in pregnancy, highlighting the importance of polygenic contributions. Conclusions Our results suggest overlap in the genetic aetiology of FG in pregnant and non-pregnant individuals. This was less apparent with 2hG, suggesting potential differences in postprandial glucose metabolism inside and outside of pregnancy.
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Affiliation(s)
- Gunn-Helen Moen
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Marissa LeBlanc
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Christine Sommer
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Rashmi B Prasad
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - Tove Lekva
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - Kjersti R Normann
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, Oslo, Norway
| | - Elisabeth Qvigstad
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Leif Groop
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
- Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, Finland
| | - Kåre I Birkeland
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
| | - David M Evans
- University of Queensland, Diamantina Institute, Translational Research Institute, Brisbane, Australia
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
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46
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Mafessoni F, Prasad RB, Groop L, Hansson O, Prüfer K. Turning Vice into Virtue: Using Batch-Effects to Detect Errors in Large Genomic Data Sets. Genome Biol Evol 2018; 10:2697-2708. [PMID: 30204860 PMCID: PMC6185451 DOI: 10.1093/gbe/evy199] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/08/2018] [Indexed: 12/22/2022] Open
Abstract
It is often unavoidable to combine data from different sequencing centers or sequencing platforms when compiling data sets with a large number of individuals. However, the different data are likely to contain specific systematic errors that will appear as SNPs. Here, we devise a method to detect systematic errors in combined data sets. To measure quality differences between individual genomes, we study pairs of variants that reside on different chromosomes and co-occur in individuals. The abundance of these pairs of variants in different genomes is then used to detect systematic errors due to batch effects. Applying our method to the 1000 Genomes data set, we find that coding regions are enriched for errors, where ∼1% of the higher frequency variants are predicted to be erroneous, whereas errors outside of coding regions are much rarer (<0.001%). As expected, predicted errors are found less often than other variants in a data set that was generated with a different sequencing technology, indicating that many of the candidates are indeed errors. However, predicted 1000 Genomes errors are also found in other large data sets; our observation is thus not specific to the 1000 Genomes data set. Our results show that batch effects can be turned into a virtue by using the resulting variation in large scale data sets to detect systematic errors.
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Affiliation(s)
- Fabrizio Mafessoni
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Rashmi B Prasad
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Center, Malmö, Sweden
| | - Leif Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Center, Malmö, Sweden.,Finnish Institute for Molecular Medicine (FIMM), Helsinki University, Finland
| | - Ola Hansson
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Center, Malmö, Sweden
| | - Kay Prüfer
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
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47
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Taneera J, Prasad RB, Dhaiban S, Mohammed AK, Haataja L, Arvan P, Hamad M, Groop L, Wollheim CB. Silencing of the FTO gene inhibits insulin secretion: An in vitro study using GRINCH cells. Mol Cell Endocrinol 2018; 472:10-17. [PMID: 29890211 PMCID: PMC6559235 DOI: 10.1016/j.mce.2018.06.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 05/14/2018] [Accepted: 06/07/2018] [Indexed: 01/01/2023]
Abstract
Expression of fat mass and obesity-associated gene (FTO) and ADP-ribosylation factor-like 15 (ARL15) in human islets is inversely correlated with HbA1c. However, their impact on insulin secretion is still ambiguous. Here in, we investigated the role of FTO and ARL15 using GRINCH (Glucose-Responsive Insulin-secreting C-peptide-modified Human proinsulin) clonal rat β-cells. GRINCH cells have inserted GFP into the human C-peptide insulin gene. Hence, secreted CpepGFP served to monitor insulin secretion. mRNA silencing of FTO in GRINCH cells showed a significant reduction in glucose but not depolarization-stimulated insulin secretion, whereas ARL15 silencing had no effect. A significant down-regulation of insulin mRNA was observed in FTO knockdown cells. Type-2 Diabetic islets revealed a reduced expression of FTO mRNA. In conclusion, our data suggest that fluorescent CpepGFP released from GRINCH cells may serve as a convenient marker for insulin secretion. Silencing of FTO expression, but not ARL15, inhibits insulin secretion by affecting metabolic signaling.
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Affiliation(s)
- Jalal Taneera
- Sharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates; Lund University Diabetes Center, Malmoe, Lund University, Sweden.
| | - Rashmi B Prasad
- Lund University Diabetes Center, Malmoe, Lund University, Sweden
| | - Sarah Dhaiban
- Sharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates
| | - Abdul Khader Mohammed
- Sharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates
| | - Leena Haataja
- Endocrinology and Diabetes, University of Michigan Medical School, Ann Arbor, USA
| | - Peter Arvan
- Endocrinology and Diabetes, University of Michigan Medical School, Ann Arbor, USA
| | - Mawieh Hamad
- Sharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates
| | - Leif Groop
- Lund University Diabetes Center, Malmoe, Lund University, Sweden; Finnish Institute for Molecular Medicine (FIMM), Helsinki University, Finland
| | - Claes B Wollheim
- Lund University Diabetes Center, Malmoe, Lund University, Sweden; Department of Cell Physiology and Metabolism, University Medical Center. Geneva, Switzerland
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48
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Arora GP, Almgren P, Brøns C, Thaman RG, Vaag AA, Groop L, Prasad RB. Association between genetic risk variants and glucose intolerance during pregnancy in north Indian women. BMC Med Genomics 2018; 11:64. [PMID: 30089489 PMCID: PMC6083526 DOI: 10.1186/s12920-018-0380-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Accepted: 07/25/2018] [Indexed: 11/17/2022] Open
Abstract
Background Gestational diabetes (GDM) is a more common problem in India than in many other parts of the world but it is not known whether this is due to unique environmental factors or a unique genetic background. To address this question we examined whether the same genetic variants associated with GDM and Type 2 Diabetes (T2D) in Caucasians also were associated with GDM in North Indian women. Methods Five thousand one hundred pregnant women of gestational age 24–28 weeks from Punjab were studied by a 75 g oral glucose tolerance test (OGTT). GDM was diagnosed by both WHO1999 and 2013 criteria. 79 single nucleotide polymorphisms (SNPs) previously associated with T2D and glycemic traits (12 of them also with GDM) and 6 SNPs from previous T2D associations based on Indian population (some also with European) were genotyped on a Sequenom platform or using Taqman assays in DNA from 4018 women. Results In support of previous findings in Caucasian GDM, SNPs at KCJN11 and GRB14 loci were nominally associated with GDM1999 risk in Indian women (both p = 0.02). Notably, T2D risk alleles of the variant rs1552224 near CENTD2, rs11708067 in ADCY5 and rs11605924 in CRY2 genes associated with protection from GDM regardless of criteria applied (p < 0.025). SNPs rs7607980 near COBLL1 (p = 0.0001), rs13389219 near GRB14 (p = 0.026) and rs10423928 in the GIPR gene (p = 0.012) as well as the genetic risk score (GRS) for these previously shown insulin resistance loci here associated with insulin resistance defined by HOMA2-IR and showed a trend towards GDM. GRS comprised of 3 insulin secretion loci here associated with insulin secretion but not GDM. Conclusions GDM in women from Punjab in Northern India shows a genetic component, seemingly driven by insulin resistance and secretion and partly shared with GDM in other parts of the world. Most previous T2D loci discovered in European studies did not associate with GDM in North India, indicative of different genetic etiology or alternately, differences in the linkage disequilibrium (LD) structure between populations in which the associated SNPs were identified and Northern Indian women. Interestingly some T2D risk variants were in fact indicative of being protective for GDM in these Indian women. Electronic supplementary material The online version of this article (10.1186/s12920-018-0380-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Geeti P Arora
- Deep Hospital, Ludhiana, Punjab, India.,Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - Peter Almgren
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - Charlotte Brøns
- Department of Endocrinology (Diabetes and Metabolism), Rigshospitalet, Copenhagen, Denmark
| | | | - Allan A Vaag
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Department of Endocrinology (Diabetes and Metabolism), Rigshospitalet, Copenhagen, Denmark.,Cardiovascular and Metabolic Disease (CVMD) Translational Medicine Unit, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - Leif Groop
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, Finland
| | - Rashmi B Prasad
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.
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49
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Sharma A, Halu A, Decano JL, Padi M, Liu YY, Prasad RB, Fadista J, Santolini M, Menche J, Weiss ST, Vidal M, Silverman EK, Aikawa M, Barabási AL, Groop L, Loscalzo J. Controllability in an islet specific regulatory network identifies the transcriptional factor NFATC4, which regulates Type 2 Diabetes associated genes. NPJ Syst Biol Appl 2018; 4:25. [PMID: 29977601 PMCID: PMC6028434 DOI: 10.1038/s41540-018-0057-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 04/09/2018] [Accepted: 05/04/2018] [Indexed: 01/14/2023] Open
Abstract
Probing the dynamic control features of biological networks represents a new frontier in capturing the dysregulated pathways in complex diseases. Here, using patient samples obtained from a pancreatic islet transplantation program, we constructed a tissue-specific gene regulatory network and used the control centrality (Cc) concept to identify the high control centrality (HiCc) pathways, which might serve as key pathobiological pathways for Type 2 Diabetes (T2D). We found that HiCc pathway genes were significantly enriched with modest GWAS p-values in the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) study. We identified variants regulating gene expression (expression quantitative loci, eQTL) of HiCc pathway genes in islet samples. These eQTL genes showed higher levels of differential expression compared to non-eQTL genes in low, medium, and high glucose concentrations in rat islets. Among genes with highly significant eQTL evidence, NFATC4 belonged to four HiCc pathways. We asked if the expressions of T2D-associated candidate genes from GWAS and literature are regulated by Nfatc4 in rat islets. Extensive in vitro silencing of Nfatc4 in rat islet cells displayed reduced expression of 16, and increased expression of four putative downstream T2D genes. Overall, our approach uncovers the mechanistic connection of NFATC4 with downstream targets including a previously unknown one, TCF7L2, and establishes the HiCc pathways' relationship to T2D.
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Affiliation(s)
- Amitabh Sharma
- 1Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.,2Center for Complex Network Research and Department of Physics, Northeastern University, Boston, MA 02115 USA.,3Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215 USA.,4Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215 USA
| | - Arda Halu
- 1Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.,4Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215 USA
| | - Julius L Decano
- 4Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215 USA
| | - Megha Padi
- 5Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721 USA
| | - Yang-Yu Liu
- 1Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA
| | - Rashmi B Prasad
- 6Lund University Diabetes Center, Department of Clinical Sciences, Diabetes & Endocrinology, Skåne University Hospital Malmö, Lund University, Malmö, 20502 Sweden
| | - Joao Fadista
- 6Lund University Diabetes Center, Department of Clinical Sciences, Diabetes & Endocrinology, Skåne University Hospital Malmö, Lund University, Malmö, 20502 Sweden
| | - Marc Santolini
- 1Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.,2Center for Complex Network Research and Department of Physics, Northeastern University, Boston, MA 02115 USA
| | - Jörg Menche
- 2Center for Complex Network Research and Department of Physics, Northeastern University, Boston, MA 02115 USA.,7 CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, 1090 Austria
| | - Scott T Weiss
- 1Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA
| | - Marc Vidal
- 3Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215 USA.,8Department of Genetics, Harvard Medical School, Boston, MA 02115 USA
| | - Edwin K Silverman
- 1Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA
| | - Masanori Aikawa
- 4Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215 USA
| | - Albert-László Barabási
- 1Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.,2Center for Complex Network Research and Department of Physics, Northeastern University, Boston, MA 02115 USA.,3Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215 USA.,9Center for Network Science, Central European University, Nador u. 9, 1051 Budapest, Hungary
| | - Leif Groop
- 6Lund University Diabetes Center, Department of Clinical Sciences, Diabetes & Endocrinology, Skåne University Hospital Malmö, Lund University, Malmö, 20502 Sweden.,10Department of Clinical Sciences, Islet cell physiology, Skåne University Hospital Malmö, Lund University, Malmö, 20502 Sweden
| | - Joseph Loscalzo
- 11Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA
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50
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Gusarova V, O'Dushlaine C, Teslovich TM, Benotti PN, Mirshahi T, Gottesman O, Van Hout CV, Murray MF, Mahajan A, Nielsen JB, Fritsche L, Wulff AB, Gudbjartsson DF, Sjögren M, Emdin CA, Scott RA, Lee WJ, Small A, Kwee LC, Dwivedi OP, Prasad RB, Bruse S, Lopez AE, Penn J, Marcketta A, Leader JB, Still CD, Kirchner HL, Mirshahi UL, Wardeh AH, Hartle CM, Habegger L, Fetterolf SN, Tusie-Luna T, Morris AP, Holm H, Steinthorsdottir V, Sulem P, Thorsteinsdottir U, Rotter JI, Chuang LM, Damrauer S, Birtwell D, Brummett CM, Khera AV, Natarajan P, Orho-Melander M, Flannick J, Lotta LA, Willer CJ, Holmen OL, Ritchie MD, Ledbetter DH, Murphy AJ, Borecki IB, Reid JG, Overton JD, Hansson O, Groop L, Shah SH, Kraus WE, Rader DJ, Chen YDI, Hveem K, Wareham NJ, Kathiresan S, Melander O, Stefansson K, Nordestgaard BG, Tybjærg-Hansen A, Abecasis GR, Altshuler D, Florez JC, Boehnke M, McCarthy MI, Yancopoulos GD, Carey DJ, Shuldiner AR, Baras A, Dewey FE, Gromada J. Genetic inactivation of ANGPTL4 improves glucose homeostasis and is associated with reduced risk of diabetes. Nat Commun 2018; 9:2252. [PMID: 29899519 PMCID: PMC5997992 DOI: 10.1038/s41467-018-04611-z] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 05/10/2018] [Indexed: 01/05/2023] Open
Abstract
Angiopoietin-like 4 (ANGPTL4) is an endogenous inhibitor of lipoprotein lipase that modulates lipid levels, coronary atherosclerosis risk, and nutrient partitioning. We hypothesize that loss of ANGPTL4 function might improve glucose homeostasis and decrease risk of type 2 diabetes (T2D). We investigate protein-altering variants in ANGPTL4 among 58,124 participants in the DiscovEHR human genetics study, with follow-up studies in 82,766 T2D cases and 498,761 controls. Carriers of p.E40K, a variant that abolishes ANGPTL4 ability to inhibit lipoprotein lipase, have lower odds of T2D (odds ratio 0.89, 95% confidence interval 0.85–0.92, p = 6.3 × 10−10), lower fasting glucose, and greater insulin sensitivity. Predicted loss-of-function variants are associated with lower odds of T2D among 32,015 cases and 84,006 controls (odds ratio 0.71, 95% confidence interval 0.49–0.99, p = 0.041). Functional studies in Angptl4-deficient mice confirm improved insulin sensitivity and glucose homeostasis. In conclusion, genetic inactivation of ANGPTL4 is associated with improved glucose homeostasis and reduced risk of T2D. Genetic variation in ANGPTL4 is associated with lipid traits. Here, the authors find that predicted loss-of-function variants in ANGPTL4 are associated with glucose homeostasis and reduced risk of type 2 diabetes and that Angptl4−/− mice on a high-fat diet show improved insulin sensitivity.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Jonas B Nielsen
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, University of Michigan, Ann Arbor, 48109, MI, USA.,Department of Human Genetics, University of Michigan, University of Michigan, Ann Arbor, 48109, MI, USA
| | - Lars Fritsche
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, 48109, MI, USA
| | - Anders Berg Wulff
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, 2100, Denmark
| | | | - Marketa Sjögren
- Department of Clinical Sciences, Malmö, Lund University, Malmö, 221, Sweden
| | - Connor A Emdin
- Program in Medical and Population Genetics, Broad Institute, Cambridge, 02142, MA, USA
| | - Robert A Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, 40705, Taiwan.,Department of Social Work, Tunghai University, Taichung, 40704, Taiwan
| | - Aeron Small
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, PA, USA.,Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Lydia C Kwee
- Division of Cardiology, Department of Medicine; Molecular Physiology Institute, School of Medicine, Duke University, Durham, 27710, NC, USA
| | - Om Prakash Dwivedi
- Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, 00170, Finland
| | - Rashmi B Prasad
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, 221, Sweden
| | - Shannon Bruse
- Regeneron Genetics Center, Tarrytown, 10591, NY, USA
| | | | - John Penn
- Regeneron Genetics Center, Tarrytown, 10591, NY, USA
| | | | | | | | | | | | | | | | | | | | - Teresa Tusie-Luna
- Instituto de Investigaciones Biomédicas, UNAM, Coyoacán, 04510, Mexico City, Mexico.,Unidad de Biología Molecular y Medicina Genómica, UNAM/INCMNSZ Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, 14080, Mexico
| | - Andrew P Morris
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.,Department of Biostatistics, University of Liverpool, Liverpool, L69 7ZX, UK.,Estonian Genome Center, University of Tartu, Tartu, 50090, Estonia
| | - Hilma Holm
- deCODE Genetics/Amgen, Inc., Reykjavik, 101, Iceland
| | | | - Patrick Sulem
- deCODE Genetics/Amgen, Inc., Reykjavik, 101, Iceland
| | | | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, 90502, CA, USA
| | - Lee-Ming Chuang
- Division of Endocrinology & Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, 10617, Taiwan.,Institute of Preventive Medicine, School of Public Health, National Taiwan University, Taipei, 10617, Taiwan
| | - Scott Damrauer
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, PA, USA.,Department of Surgery, Corporal Michael Crescenz VA Medical Center, Philadelphia, 19104, PA, USA
| | - David Birtwell
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, PA, USA.,Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Chad M Brummett
- Department of Anesthesiology, University of Michigan, Ann Arbor, 48109, MI, USA
| | - Amit V Khera
- Program in Medical and Population Genetics, Broad Institute, Cambridge, 02142, MA, USA.,Center for Human Genetic Research, Cardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, 02114, MA, USA
| | - Pradeep Natarajan
- Program in Medical and Population Genetics, Broad Institute, Cambridge, 02142, MA, USA.,Center for Human Genetic Research, Cardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, 02114, MA, USA
| | | | - Jason Flannick
- Program in Medical and Population Genetics, Broad Institute, Cambridge, 02142, MA, USA.,Center for Human Genetic Research, Massachusetts General Hospital, Harvard Medical School, Boston, 02114, MA, USA
| | - Luca A Lotta
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, University of Michigan, Ann Arbor, 48109, MI, USA.,Department of Human Genetics, University of Michigan, University of Michigan, Ann Arbor, 48109, MI, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, 48109, MI, USA
| | - Oddgeir L Holmen
- HUNT Research Centre, Department of Public Health and General Practice, Norwegian University of Science and Technology, Levanger, 7601, Norway
| | | | | | | | | | | | | | - Ola Hansson
- Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, 00170, Finland.,Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, 221, Sweden
| | - Leif Groop
- Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, 00170, Finland.,Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, 221, Sweden
| | - Svati H Shah
- Division of Cardiology, Department of Medicine; Molecular Physiology Institute, School of Medicine, Duke University, Durham, 27710, NC, USA
| | - William E Kraus
- Division of Cardiology, Department of Medicine; Molecular Physiology Institute, School of Medicine, Duke University, Durham, 27710, NC, USA
| | - Daniel J Rader
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, PA, USA.,Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Yii-Der I Chen
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, 90502, CA, USA
| | - Kristian Hveem
- HUNT Research Centre, Department of Public Health and General Practice, Norwegian University of Science and Technology, Levanger, 7601, Norway.,K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health, Norwegian University of Science and Technology, Trondheim, 7491, Norway.,Department of Medicine, Levanger Hospital, Nord-Trøndelag Health Trust, Levanger, 7601, Norway
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Sekar Kathiresan
- Center for Human Genetic Research, Cardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, 02114, MA, USA
| | - Olle Melander
- Department of Clinical Sciences, Malmö, Lund University, Malmö, 221, Sweden
| | | | - Børge G Nordestgaard
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, 2730, Denmark.,Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, 2730, Denmark.,The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital, Copenhagen, 2400, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, 2100, Denmark.,The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, 2730, Denmark.,The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital, Copenhagen, 2400, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Goncalo R Abecasis
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, 48109, MI, USA
| | - David Altshuler
- Program in Medical and Population Genetics, Broad Institute, Cambridge, 02142, MA, USA.,Department of Molecular Biology, Diabetes Unit, and Center for Human Genetic Research, Massachusetts General Hospital, Boston, 02114, MA, USA.,Departments of Genetics and Medicine, Harvard Medical School, Boston, 02115, MA, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, 02139, MA, USA
| | - Jose C Florez
- Diabetes Unit and Center for Human Genetic Research, Massachusetts General Hospital, Boston, 02115, MA, USA.,Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, 02142, MA, USA.,Department of Medicine, Harvard Medical School, Boston, 02115, MA, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, 48109, MI, USA
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.,Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, OX3 7LE, UK.,Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford, OX4 2PG, UK
| | | | | | | | - Aris Baras
- Regeneron Genetics Center, Tarrytown, 10591, NY, USA.
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