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Heitkamp M, Siegrist M, Molnos S, Brandmaier S, Wahl S, Langhof H, Grallert H, Halle M. Obesity Genes and Weight Loss During Lifestyle Intervention in Children With Obesity. JAMA Pediatr 2021; 175:e205142. [PMID: 33315090 PMCID: PMC7737153 DOI: 10.1001/jamapediatrics.2020.5142] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
IMPORTANCE Genome-wide association studies have identified genetic loci influencing obesity risk in children. However, the importance of these loci in the associations with weight reduction through lifestyle interventions has not been investigated in large intervention trials. OBJECTIVE To evaluate the associations between various obesity susceptibility loci and changes in body weight in children during an in-hospital, lifestyle intervention program. DESIGN, SETTING, AND PARTICIPANTS Long-term Effects of Lifestyle Intervention in Obesity and Genetic Influence in Children (LOGIC), an interventional prospective cohort study, enrolled 1429 children with overweight or obesity to participate in an in-hospital lifestyle intervention program. Genotyping of 56 validated obesity single-nucleotide variants (SNVs) was performed, and the associations between the SNVs and body weight reduction during the intervention were evaluated using linear mixed-effects models for each SNV. The LOGIC study was conducted from January 6, 2006, to October 19, 2013; data analysis was performed from July 15, 2015, to November 6, 2016. EXPOSURES A 4- to 6-week standardized in-hospital lifestyle intervention program (daily physical activity, calorie-restricted diet, and behavioral therapy). MAIN OUTCOMES AND MEASURES The association between 56 obesity-relevant SNVs and changes in body weight and body mass index. RESULTS Of 1429 individuals enrolled in the LOGIC Study, 1198 individuals (mean [SD] age, 14.0 [2.2] years; 670 [56%] girls) were genotyped. A mean (SD) decrease was noted in body weight of -8.7 (3.6) kg (95% CI, -15.7 to -1.8 kg), and body mass index (calculated as weight in kilograms divided by height in meters squared) decreased by -3.3 (1.1) (95% CI, -5.4 to -1.1) (both P < .05). Five of 56 obesity SNVs were statistically significantly associated with a reduction of body weight or body mass index (all P < 8.93 × 10-4 corresponding to Bonferroni correction for 56 tests). Compared with homozygous participants without the risk allele, homozygous carriers of the rs7164727 (LOC100287559: 0.42 kg; 95% CI, 0.31-0.53 kg, P = 4.00 × 10-4) and rs12940622 (RPTOR: 0.35 kg; 95% CI, 0.18-0.52 kg; P = 1.86 × 10-5) risk alleles had a lower reduction of body weight, whereas carriers of the rs13201877 (IFNGR1: 0.65 kg; 95% CI, 0.51-0.79 kg; P = 2.39 × 10-5), rs10733682 (LMX1B: 0.45 kg; 95% CI, 0.27-0.63 kg; P = 6.37 × 10-4), and rs2836754 (ETS2: 0.56 kg; 95% CI, 0.38-0.74 kg; P = 1.51 × 10-4) risk alleles were associated with a greater reduction of body weight after adjustment for age and sex. CONCLUSIONS AND RELEVANCE Genes appear to play a minor role in weight reduction by lifestyle in children with overweight or obesity. The findings suggest that environmental, social, and behavioral factors are more important to consider in obesity treatment strategies.
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Affiliation(s)
- Melanie Heitkamp
- Department of Prevention and Sports Medicine, Centre for Sports Cardiology, University Hospital “Klinikum rechts der Isar,” Technical University of Munich, Munich, Germany
| | - Monika Siegrist
- Department of Prevention and Sports Medicine, Centre for Sports Cardiology, University Hospital “Klinikum rechts der Isar,” Technical University of Munich, Munich, Germany
| | - Sophie Molnos
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany,German Center for Diabetes Research, Helmholtz Zentrum München, Neuherberg, Germany
| | - Stefan Brandmaier
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany,German Center for Diabetes Research, Helmholtz Zentrum München, Neuherberg, Germany
| | - Simone Wahl
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany,German Center for Diabetes Research, Helmholtz Zentrum München, Neuherberg, Germany,Now with Roche Diagnostics, Bavaria, Germany
| | - Helmut Langhof
- Rehabilitation Clinic “Klinik Schönsicht,” Berchtesgaden, Germany
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany,German Center for Diabetes Research, Helmholtz Zentrum München, Neuherberg, Germany
| | - Martin Halle
- Department of Prevention and Sports Medicine, Centre for Sports Cardiology, University Hospital “Klinikum rechts der Isar,” Technical University of Munich, Munich, Germany,German Center for Cardiovascular Research, partner site Munich Heart Alliance, Munich, Germany
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Yaghootkar H, Zhang Y, Spracklen CN, Karaderi T, Huang LO, Bradfield J, Schurmann C, Fine RS, Preuss MH, Kutalik Z, Wittemans LBL, Lu Y, Metz S, Willems SM, Li-Gao R, Grarup N, Wang S, Molnos S, Sandoval-Zárate AA, Nalls MA, Lange LA, Haesser J, Guo X, Lyytikäinen LP, Feitosa MF, Sitlani CM, Venturini C, Mahajan A, Kacprowski T, Wang CA, Chasman DI, Amin N, Broer L, Robertson N, Young KL, Allison M, Auer PL, Blüher M, Borja JB, Bork-Jensen J, Carrasquilla GD, Christofidou P, Demirkan A, Doege CA, Garcia ME, Graff M, Guo K, Hakonarson H, Hong J, Ida Chen YD, Jackson R, Jakupović H, Jousilahti P, Justice AE, Kähönen M, Kizer JR, Kriebel J, LeDuc CA, Li J, Lind L, Luan J, Mackey DA, Mangino M, Männistö S, Martin Carli JF, Medina-Gomez C, Mook-Kanamori DO, Morris AP, de Mutsert R, Nauck M, Prokic I, Pennell CE, Pradhan AD, Psaty BM, Raitakari OT, Scott RA, Skaaby T, Strauch K, Taylor KD, Teumer A, Uitterlinden AG, Wu Y, Yao J, Walker M, North KE, Kovacs P, Ikram MA, van Duijn CM, Ridker PM, Lye S, Homuth G, Ingelsson E, Spector TD, McKnight B, Province MA, Lehtimäki T, Adair LS, Rotter JI, Reiner AP, Wilson JG, Harris TB, Ripatti S, Grallert H, Meigs JB, Salomaa V, Hansen T, Willems van Dijk K, Wareham NJ, Grant SFA, Langenberg C, Frayling TM, Lindgren CM, Mohlke KL, Leibel RL, Loos RJF, Kilpeläinen TO. Genetic Studies of Leptin Concentrations Implicate Leptin in the Regulation of Early Adiposity. Diabetes 2020; 69:2806-2818. [PMID: 32917775 PMCID: PMC7679778 DOI: 10.2337/db20-0070] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 09/09/2020] [Indexed: 02/02/2023]
Abstract
Leptin influences food intake by informing the brain about the status of body fat stores. Rare LEP mutations associated with congenital leptin deficiency cause severe early-onset obesity that can be mitigated by administering leptin. However, the role of genetic regulation of leptin in polygenic obesity remains poorly understood. We performed an exome-based analysis in up to 57,232 individuals of diverse ancestries to identify genetic variants that influence adiposity-adjusted leptin concentrations. We identify five novel variants, including four missense variants, in LEP, ZNF800, KLHL31, and ACTL9, and one intergenic variant near KLF14. The missense variant Val94Met (rs17151919) in LEP was common in individuals of African ancestry only, and its association with lower leptin concentrations was specific to this ancestry (P = 2 × 10-16, n = 3,901). Using in vitro analyses, we show that the Met94 allele decreases leptin secretion. We also show that the Met94 allele is associated with higher BMI in young African-ancestry children but not in adults, suggesting that leptin regulates early adiposity.
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Affiliation(s)
- Hanieh Yaghootkar
- Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, U.K.
- Division of Medical Sciences, Department of Health Sciences, Luleå University of Technology, Luleå, Sweden
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, U.K
| | - Yiying Zhang
- Division of Molecular Genetics, Department of Pediatrics, Columbia University, New York, NY
| | - Cassandra N Spracklen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, MA
| | - Tugce Karaderi
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Department of Biological Sciences, Faculty of Arts and Sciences, Eastern Mediterranean University, Famagusta, Cyprus
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- DTU Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Lam Opal Huang
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jonathan Bradfield
- Center for Applied Genomics, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA
- Quantinuum Research LLC, San Diego, CA
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Rebecca S Fine
- Department of Genetics, Harvard Medical School, Boston, MA
- Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Zoltan Kutalik
- Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, U.K
- Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Laura B L Wittemans
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, and Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Sophia Metz
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sara M Willems
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Shuai Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Sophie Molnos
- German Center for Diabetes Research, München-Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, München-Neuherberg, Germany
| | | | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD
- Data Tecnica International, Glen Echo, MD
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado-Denver, Denver, CO
| | - Jeffrey Haesser
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Cristina Venturini
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, U.K
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K
| | - Tim Kacprowski
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Carol A Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Linda Broer
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Neil Robertson
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K
| | - Kristin L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Matthew Allison
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA
| | - Paul L Auer
- Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI
| | - Matthias Blüher
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Judith B Borja
- Office of Population Studies Foundation, Inc., Cebu City, Philippines
- Department of Nutrition and Dietetics, University of San Carlos, Cebu City, Philippines
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Germán D Carrasquilla
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Ayse Demirkan
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Claudia A Doege
- Department of Pathology and Cell Biology, Columbia University, New York, NY
| | - Melissa E Garcia
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Carolina Center for Genome Sciences, Chapel Hill, NC
| | - Kaiying Guo
- Division of Molecular Genetics, Department of Pediatrics, Columbia University, New York, NY
| | - Hakon Hakonarson
- Center for Applied Genomics, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jaeyoung Hong
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Rebecca Jackson
- Division of Endocrinology, Diabetes, and Metabolism, Ohio State University, Columbus, OH
| | - Hermina Jakupović
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pekka Jousilahti
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Anne E Justice
- Center for Biomedical and Translational Informatics, Geisinger, Danville, PA
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
- Department of Clinical Physiology, Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jorge R Kizer
- Cardiology Section, San Francisco Veterans Affairs Health Care System, University of California San Francisco, San Francisco, CA
- Departments of Medicine and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - Jennifer Kriebel
- German Center for Diabetes Research, München-Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, München-Neuherberg, Germany
| | - Charles A LeDuc
- Division of Molecular Genetics, Department of Pediatrics, Columbia University, New York, NY
| | - Jin Li
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Palo Alto, CA
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - David A Mackey
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, The University of Western Australia, Perth, West Australia, Australia
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, U.K
- NIHR Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London, U.K
| | - Satu Männistö
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jayne F Martin Carli
- Division of Molecular Genetics, Department of Pediatrics, Columbia University, New York, NY
| | - Carolina Medina-Gomez
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Department of Biostatistics, University of Liverpool, Liverpool, U.K
- Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, U.K
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Matthias Nauck
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Ivana Prokic
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Craig E Pennell
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Arund D Pradhan
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, Turku University Hospital, Turku, Finland
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Tea Skaaby
- Center for Clinical Research and Disease Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Genetic Epidemiology, Insitute of Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, Ludwig Maximilian University Munich, München, Germany
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Alexander Teumer
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Ying Wu
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Mark Walker
- Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, U.K
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Peter Kovacs
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Stephen Lye
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Georg Homuth
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Erik Ingelsson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Palo Alto, CA
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Palo Alto, CA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA
- Molecular Epidemiology and Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, U.K
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Linda S Adair
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - 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
| | - Alexander P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD
| | - Samuli Ripatti
- Broad Institute of MIT and Harvard, Cambridge, MA
- Institute for Molecular Medicine Finland, Helsinki, Finland
- Public Health, University of Helsinki, Helsinki, Finland
| | - Harald Grallert
- German Center for Diabetes Research, München-Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, München-Neuherberg, Germany
| | - James B Meigs
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Program in Population and Medical Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Veikko Salomaa
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ko Willems van Dijk
- Division of Endocrinology, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden, the Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Struan F A Grant
- Center for Applied Genomics, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Center for Spatial and Functional Genomics, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA
- Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA
- Institute of Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | | | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, U.K
| | - Cecilia M Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Broad Institute of MIT and Harvard, Cambridge, MA
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, U.K
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Rudolph L Leibel
- Division of Molecular Genetics, Department of Pediatrics, Columbia University, New York, NY
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
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Spracklen CN, Karaderi T, Yaghootkar H, Schurmann C, Fine RS, Kutalik Z, Preuss MH, Lu Y, Wittemans LB, Adair LS, Allison M, Amin N, Auer PL, Bartz TM, Blüher M, Boehnke M, Borja JB, Bork-Jensen J, Broer L, Chasman DI, Chen YDI, Chirstofidou P, Demirkan A, van Duijn CM, Feitosa MF, Garcia ME, Graff M, Grallert H, Grarup N, Guo X, Haesser J, Hansen T, Harris TB, Highland HM, Hong J, Ikram MA, Ingelsson E, Jackson R, Jousilahti P, Kähönen M, Kizer JR, Kovacs P, Kriebel J, Laakso M, Lange LA, Lehtimäki T, Li J, Li-Gao R, Lind L, Luan J, Lyytikäinen LP, MacGregor S, Mackey DA, Mahajan A, Mangino M, Männistö S, McCarthy MI, McKnight B, Medina-Gomez C, Meigs JB, Molnos S, Mook-Kanamori D, Morris AP, de Mutsert R, Nalls MA, Nedeljkovic I, North KE, Pennell CE, Pradhan AD, Province MA, Raitakari OT, Raulerson CK, Reiner AP, Ridker PM, Ripatti S, Roberston N, Rotter JI, Salomaa V, Sandoval-Zárate AA, Sitlani CM, Spector TD, Strauch K, Stumvoll M, Taylor KD, Thuesen B, Tönjes A, Uitterlinden AG, Venturini C, Walker M, Wang CA, Wang S, Wareham NJ, Willems SM, Willems van Dijk K, Wilson JG, Wu Y, Yao J, Young KL, Langenberg C, Frayling TM, Kilpeläinen TO, Lindgren CM, Loos RJ, Mohlke KL. Exome-Derived Adiponectin-Associated Variants Implicate Obesity and Lipid Biology. Am J Hum Genet 2019; 105:670-671. [PMID: 31491410 DOI: 10.1016/j.ajhg.2019.08.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
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Spracklen CN, Karaderi T, Yaghootkar H, Schurmann C, Fine RS, Kutalik Z, Preuss MH, Lu Y, Wittemans LBL, Adair LS, Allison M, Amin N, Auer PL, Bartz TM, Blüher M, Boehnke M, Borja JB, Bork-Jensen J, Broer L, Chasman DI, Chen YDI, Chirstofidou P, Demirkan A, van Duijn CM, Feitosa MF, Garcia ME, Graff M, Grallert H, Grarup N, Guo X, Haesser J, Hansen T, Harris TB, Highland HM, Hong J, Ikram MA, Ingelsson E, Jackson R, Jousilahti P, Kähönen M, Kizer JR, Kovacs P, Kriebel J, Laakso M, Lange LA, Lehtimäki T, Li J, Li-Gao R, Lind L, Luan J, Lyytikäinen LP, MacGregor S, Mackey DA, Mahajan A, Mangino M, Männistö S, McCarthy MI, McKnight B, Medina-Gomez C, Meigs JB, Molnos S, Mook-Kanamori D, Morris AP, de Mutsert R, Nalls MA, Nedeljkovic I, North KE, Pennell CE, Pradhan AD, Province MA, Raitakari OT, Raulerson CK, Reiner AP, Ridker PM, Ripatti S, Roberston N, Rotter JI, Salomaa V, Sandoval-Zárate AA, Sitlani CM, Spector TD, Strauch K, Stumvoll M, Taylor KD, Thuesen B, Tönjes A, Uitterlinden AG, Venturini C, Walker M, Wang CA, Wang S, Wareham NJ, Willems SM, Willems van Dijk K, Wilson JG, Wu Y, Yao J, Young KL, Langenberg C, Frayling TM, Kilpeläinen TO, Lindgren CM, Loos RJF, Mohlke KL. Exome-Derived Adiponectin-Associated Variants Implicate Obesity and Lipid Biology. Am J Hum Genet 2019; 105:15-28. [PMID: 31178129 DOI: 10.1016/j.ajhg.2019.05.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [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: 02/26/2019] [Accepted: 04/30/2019] [Indexed: 12/25/2022] Open
Abstract
Circulating levels of adiponectin, an adipocyte-secreted protein associated with cardiovascular and metabolic risk, are highly heritable. To gain insights into the biology that regulates adiponectin levels, we performed an exome array meta-analysis of 265,780 genetic variants in 67,739 individuals of European, Hispanic, African American, and East Asian ancestry. We identified 20 loci associated with adiponectin, including 11 that had been reported previously (p < 2 × 10-7). Comparison of exome array variants to regional linkage disequilibrium (LD) patterns and prior genome-wide association study (GWAS) results detected candidate variants (r2 > .60) spanning as much as 900 kb. To identify potential genes and mechanisms through which the previously unreported association signals act to affect adiponectin levels, we assessed cross-trait associations, expression quantitative trait loci in subcutaneous adipose, and biological pathways of nearby genes. Eight of the nine loci were also associated (p < 1 × 10-4) with at least one obesity or lipid trait. Candidate genes include PRKAR2A, PTH1R, and HDAC9, which have been suggested to play roles in adipocyte differentiation or bone marrow adipose tissue. Taken together, these findings provide further insights into the processes that influence circulating adiponectin levels.
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Affiliation(s)
- Cassandra N Spracklen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Tugce Karaderi
- The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7FZ, UK; Department of Biological Sciences, Faculty of Arts and Sciences, Eastern Mediterranean University, Famagusta, Cyprus; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; DTU Health Technology, Technical University of Denmark, Lyngby 2800, Denmark
| | - Hanieh Yaghootkar
- Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter EX2 5DW, UK; Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Rebecca S Fine
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Zoltan Kutalik
- Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter EX2 5DW, UK; University Center for Primary Care and Public Health, University of Lausanne, Lausanne 1010, Switzerland; Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37203-1738, USA; Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Laura B L Wittemans
- The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7FZ, UK; MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Linda S Adair
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
| | - Matthew Allison
- Department of Family Medicine and Public Health, University of California, San Diego, CA 92093, USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3015CN, the Netherlands
| | - Paul L Auer
- Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA; Department of Biostatistics, University of Washington, Seattle, WA 98101, USA
| | - Matthias Blüher
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig, Leipzig 4103, Germany
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Judith B Borja
- Office of Population Studies Foundation, Inc, Cebu City, Philippines; Department of Nutrition and Dietetics, University of San Carlos, Cebu City, Philippines
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Linda Broer
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Paraskevi Chirstofidou
- Department of Twin Research and Genetic Epidemiology, Kings College London, London SE1 7EH, UK
| | - Ayse Demirkan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3015CN, the Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3015CN, the Netherlands
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Melissa E Garcia
- National Heart, Lung, and Blood Institute, Bethesda, MD 20892, USA
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Carolina Center for Genome Sciences, Chapel Hill, NC 27599, USA
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, München-Neuherberg 85764, Germany; German Center for Diabetes Research, München-Neuherberg 85765, Germany
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Jeffrey Haesser
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD 20892, USA
| | - Heather M Highland
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jaeyoung Hong
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 2118, USA
| | - M Arfan Ikram
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands
| | - Erik Ingelsson
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Palo Alto, CA 94304, USA; Stanford Cardiovascular Institute, Stanford University of Medicine, Palo Alto, CA 94304, USA; Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala 75185, Sweden; Stanford Diabetes Research Center, Stanford University, Stanford, CA 94305, USA
| | - Rebecca Jackson
- Division of Endocrinology, Diabetes, and Metabolism, Ohio State University, Columbus, OH 43210, USA
| | - Pekka Jousilahti
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere 33522, Finland; Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33522, Finland
| | - Jorge R Kizer
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Peter Kovacs
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig, Leipzig 4103, Germany
| | - Jennifer Kriebel
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, München-Neuherberg 85764, Germany; German Center for Diabetes Research, München-Neuherberg 85765, Germany
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University of Hospital, Kuopio 70029 KYS, Finland
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado-Denver, Denver, CO 80045, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33522, Finland
| | - Jin Li
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Palo Alto, CA 94304, USA
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala 75185, Sweden
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33522, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33521, Finland
| | - Stuart MacGregor
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - David A Mackey
- Faculty of Health and Medical Sciences, The University of Western Australia, Perth, WA 6009, Australia; Centre for Ophthalmology and Visual Science, Lions Eye Institute, The University of Western Australia, Perth, WA 6009, Australia
| | - Anubha Mahajan
- The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7FZ, UK; Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 7FZ, UK
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, Kings College London, London SE1 7EH, UK; NIHR Biomedical Research Centre, Guy's and St Thomas' Foundation Trust, London SE1 9RT, UK
| | - Satu Männistö
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Mark I McCarthy
- The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7FZ, UK; Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 7FZ, UK; Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford OX3 7FZ, UK
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, WA 98101, USA
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands
| | - James B Meigs
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Program in Population and Medical Genetics, Broad Institute, Cambridge, MA 02114, USA
| | - Sophie Molnos
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, München-Neuherberg 85764, Germany; German Center for Diabetes Research, München-Neuherberg 85765, Germany
| | - 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 2334 ZA, the Netherlands
| | - Andrew P Morris
- The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7FZ, UK; Department of Biostatistics, University of Liverpool, Liverpool L69 3GL, UK
| | - Renee de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD 20892, USA; Data Tecnica International, Glen Echo, MD 20812, USA
| | - Ivana Nedeljkovic
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3015CN, the Netherlands
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Craig E Pennell
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, NSW 2305, Australia
| | - Aruna D Pradhan
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Chelsea K Raulerson
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Alex P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Samuli Ripatti
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Public Health, University of Helsinki, Helsinki 00014, Finland; Institute for Molecular Medicine Finland, Helsinki 00014, Finland
| | - Neil Roberston
- The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7FZ, UK; Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 7FZ, UK
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Veikko Salomaa
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki 00271, Finland
| | | | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, Kings College London, London SE1 7EH, UK
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg 85764, Germany; Chair of Genetic Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich 81377, Germany
| | - Michael Stumvoll
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig, Leipzig 4103, Germany
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Betina Thuesen
- Center for Clinical Research and Disease Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen 2400, Denmark
| | - Anke Tönjes
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig, Leipzig 4103, Germany
| | - Andre G Uitterlinden
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands
| | - Cristina Venturini
- Department of Twin Research and Genetic Epidemiology, Kings College London, London SE1 7EH, UK
| | - Mark Walker
- Institute of Cellular Medicine, The Medical School, Newcastle University, Newcastle, UK
| | - Carol A Wang
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, NSW 2305, Australia
| | - Shuai Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 2118, USA
| | | | - Sara M Willems
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Ko Willems van Dijk
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands; Einthoven Laboratory for Experimental Vascular Medicine, Leiden 2333 ZA, the Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Ying Wu
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Kristin L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter EX2 5DW, UK
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Cecilia M Lindgren
- The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7FZ, UK; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LF, UK
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Mindich Child Health and Development Institute, Ichan School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
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Do KT, Wahl S, Raffler J, Molnos S, Laimighofer M, Adamski J, Suhre K, Strauch K, Peters A, Gieger C, Langenberg C, Stewart ID, Theis FJ, Grallert H, Kastenmüller G, Krumsiek J. Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies. Metabolomics 2018; 14:128. [PMID: 30830398 PMCID: PMC6153696 DOI: 10.1007/s11306-018-1420-2] [Citation(s) in RCA: 108] [Impact Index Per Article: 18.0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Accepted: 08/24/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND Untargeted mass spectrometry (MS)-based metabolomics data often contain missing values that reduce statistical power and can introduce bias in biomedical studies. However, a systematic assessment of the various sources of missing values and strategies to handle these data has received little attention. Missing data can occur systematically, e.g. from run day-dependent effects due to limits of detection (LOD); or it can be random as, for instance, a consequence of sample preparation. METHODS We investigated patterns of missing data in an MS-based metabolomics experiment of serum samples from the German KORA F4 cohort (n = 1750). We then evaluated 31 imputation methods in a simulation framework and biologically validated the results by applying all imputation approaches to real metabolomics data. We examined the ability of each method to reconstruct biochemical pathways from data-driven correlation networks, and the ability of the method to increase statistical power while preserving the strength of established metabolic quantitative trait loci. RESULTS Run day-dependent LOD-based missing data accounts for most missing values in the metabolomics dataset. Although multiple imputation by chained equations performed well in many scenarios, it is computationally and statistically challenging. K-nearest neighbors (KNN) imputation on observations with variable pre-selection showed robust performance across all evaluation schemes and is computationally more tractable. CONCLUSION Missing data in untargeted MS-based metabolomics data occur for various reasons. Based on our results, we recommend that KNN-based imputation is performed on observations with variable pre-selection since it showed robust results in all evaluation schemes.
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Affiliation(s)
- Kieu Trinh Do
- Institute of Computational Biology, Helmholtz-Zentrum München, Neuherberg, Germany
| | - Simone Wahl
- Institute of Epidemiology II, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Johannes Raffler
- Institute of Bioinformatics and Systems Biology, Helmholtz-Zentrum München, Neuherberg, Germany
| | - Sophie Molnos
- Institute of Epidemiology II, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Michael Laimighofer
- Institute of Computational Biology, Helmholtz-Zentrum München, Neuherberg, Germany
| | - Jerzy Adamski
- Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Neuherberg, Germany
- Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising, Germany
- German Center for Cardiovascular Disease Research (DZHK e.V.), Munich, Germany
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Education City, Doha, Qatar
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Genetic Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-University, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology II, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
| | - Christian Gieger
- Institute of Epidemiology II, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
| | | | | | - Fabian J Theis
- Institute of Computational Biology, Helmholtz-Zentrum München, Neuherberg, Germany
- Department of Mathematics, Technische Universität München, Garching, Germany
| | - Harald Grallert
- Institute of Epidemiology II, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Gabi Kastenmüller
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany.
- Institute of Bioinformatics and Systems Biology, Helmholtz-Zentrum München, Neuherberg, Germany.
| | - Jan Krumsiek
- Institute of Computational Biology, Helmholtz-Zentrum München, Neuherberg, Germany.
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany.
- Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, USA.
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6
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Molnos S, Wahl S, Haid M, Eekhoff EMW, Pool R, Floegel A, Deelen J, Much D, Prehn C, Breier M, Draisma HH, van Leeuwen N, Simonis-Bik AMC, Jonsson A, Willemsen G, Bernigau W, Wang-Sattler R, Suhre K, Peters A, Thorand B, Herder C, Rathmann W, Roden M, Gieger C, Kramer MHH, van Heemst D, Pedersen HK, Gudmundsdottir V, Schulze MB, Pischon T, de Geus EJC, Boeing H, Boomsma DI, Ziegler AG, Slagboom PE, Hummel S, Beekman M, Grallert H, Brunak S, McCarthy MI, Gupta R, Pearson ER, Adamski J, 't Hart LM. Metabolite ratios as potential biomarkers for type 2 diabetes: a DIRECT study. Diabetologia 2018; 61:117-129. [PMID: 28936587 PMCID: PMC6448944 DOI: 10.1007/s00125-017-4436-7] [Citation(s) in RCA: 24] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Accepted: 07/28/2017] [Indexed: 01/13/2023]
Abstract
AIMS/HYPOTHESIS Circulating metabolites have been shown to reflect metabolic changes during the development of type 2 diabetes. In this study we examined the association of metabolite levels and pairwise metabolite ratios with insulin responses after glucose, glucagon-like peptide-1 (GLP-1) and arginine stimulation. We then investigated if the identified metabolite ratios were associated with measures of OGTT-derived beta cell function and with prevalent and incident type 2 diabetes. METHODS We measured the levels of 188 metabolites in plasma samples from 130 healthy members of twin families (from the Netherlands Twin Register) at five time points during a modified 3 h hyperglycaemic clamp with glucose, GLP-1 and arginine stimulation. We validated our results in cohorts with OGTT data (n = 340) and epidemiological case-control studies of prevalent (n = 4925) and incident (n = 4277) diabetes. The data were analysed using regression models with adjustment for potential confounders. RESULTS There were dynamic changes in metabolite levels in response to the different secretagogues. Furthermore, several fasting pairwise metabolite ratios were associated with one or multiple clamp-derived measures of insulin secretion (all p < 9.2 × 10-7). These associations were significantly stronger compared with the individual metabolite components. One of the ratios, valine to phosphatidylcholine acyl-alkyl C32:2 (PC ae C32:2), in addition showed a directionally consistent positive association with OGTT-derived measures of insulin secretion and resistance (p ≤ 5.4 × 10-3) and prevalent type 2 diabetes (ORVal_PC ae C32:2 2.64 [β 0.97 ± 0.09], p = 1.0 × 10-27). Furthermore, Val_PC ae C32:2 predicted incident diabetes independent of established risk factors in two epidemiological cohort studies (HRVal_PC ae C32:2 1.57 [β 0.45 ± 0.06]; p = 1.3 × 10-15), leading to modest improvements in the receiver operating characteristics when added to a model containing a set of established risk factors in both cohorts (increases from 0.780 to 0.801 and from 0.862 to 0.865 respectively, when added to the model containing traditional risk factors + glucose). CONCLUSIONS/INTERPRETATION In this study we have shown that the Val_PC ae C32:2 metabolite ratio is associated with an increased risk of type 2 diabetes and measures of insulin secretion and resistance. The observed effects were stronger than that of the individual metabolites and independent of known risk factors.
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Affiliation(s)
- Sophie Molnos
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Simone Wahl
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Mark Haid
- Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - E Marelise W Eekhoff
- Department of Internal Medicine-Diabetes Center, VU University Medical Center, Amsterdam, the Netherlands
| | - René Pool
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
| | - Anna Floegel
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Joris Deelen
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Daniela Much
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany
| | - Cornelia Prehn
- Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Michaela Breier
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Harmen H Draisma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
| | - Nienke van Leeuwen
- Department of Molecular Cell Biology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, the Netherlands
| | - Annemarie M C Simonis-Bik
- Department of Internal Medicine-Diabetes Center, VU University Medical Center, Amsterdam, the Netherlands
| | - Anna Jonsson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Gonneke Willemsen
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
| | - Wolfgang Bernigau
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Rui Wang-Sattler
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Karsten Suhre
- Department of Biophysics and Physiology, Weill Cornell Medical College in Qatar, Doha, Qatar
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Barbara Thorand
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Christian Herder
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Michael Roden
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Mark H H Kramer
- Department of Internal Medicine-Diabetes Center, VU University Medical Center, Amsterdam, the Netherlands
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Helle K Pedersen
- Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Valborg Gudmundsdottir
- Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Matthias B Schulze
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine, Berlin Buch, Germany
| | - Eco J C de Geus
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
| | - Anette G Ziegler
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Sandra Hummel
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany
| | - Marian Beekman
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Søren Brunak
- Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Headington, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Headington, Oxford, UK
| | - Ramneek Gupta
- Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ewan R Pearson
- Division of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Jerzy Adamski
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Experimental Genetics, Technical University of Munich, Freising-Weihenstephan, Germany
| | - Leen M 't Hart
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
- Department of Molecular Cell Biology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, the Netherlands.
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, the Netherlands.
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7
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Molnos S, Baumbach C, Wahl S, Müller-Nurasyid M, Strauch K, Wang-Sattler R, Waldenberger M, Meitinger T, Adamski J, Kastenmüller G, Suhre K, Peters A, Grallert H, Theis FJ, Gieger C. pulver: an R package for parallel ultra-rapid p-value computation for linear regression interaction terms. BMC Bioinformatics 2017; 18:429. [PMID: 28962546 PMCID: PMC5622569 DOI: 10.1186/s12859-017-1838-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [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: 03/23/2017] [Accepted: 09/20/2017] [Indexed: 01/23/2023] Open
Abstract
Background Genome-wide association studies allow us to understand the genetics of complex diseases. Human metabolism provides information about the disease-causing mechanisms, so it is usual to investigate the associations between genetic variants and metabolite levels. However, only considering genetic variants and their effects on one trait ignores the possible interplay between different “omics” layers. Existing tools only consider single-nucleotide polymorphism (SNP)–SNP interactions, and no practical tool is available for large-scale investigations of the interactions between pairs of arbitrary quantitative variables. Results We developed an R package called pulver to compute p-values for the interaction term in a very large number of linear regression models. Comparisons based on simulated data showed that pulver is much faster than the existing tools. This is achieved by using the correlation coefficient to test the null-hypothesis, which avoids the costly computation of inversions. Additional tricks are a rearrangement of the order, when iterating through the different “omics” layers, and implementing this algorithm in the fast programming language C++. Furthermore, we applied our algorithm to data from the German KORA study to investigate a real-world problem involving the interplay among DNA methylation, genetic variants, and metabolite levels. Conclusions The pulver package is a convenient and rapid tool for screening huge numbers of linear regression models for significant interaction terms in arbitrary pairs of quantitative variables. pulver is written in R and C++, and can be downloaded freely from CRAN at https://cran.r-project.org/web/packages/pulver/. Electronic supplementary material The online version of this article (10.1186/s12859-017-1838-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sophie Molnos
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany. .,Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany. .,German Center for Diabetes Research (DZD), Neuherberg, Germany.
| | - Clemens Baumbach
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Simone Wahl
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Martina Müller-Nurasyid
- Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, Munich, Germany.,Institute of Genetic Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.,Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.,Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Rui Wang-Sattler
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany.,Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Jerzy Adamski
- German Center for Diabetes Research (DZD), Neuherberg, Germany.,Genome Analysis Center, Helmholtz Zentrum München, Neuherberg, Germany.,Institute of Experimental Genetics, Technical University of Munich, Freising-Weihenstephan, Germany
| | - Gabi Kastenmüller
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany.,Department of Twins Research and Genetic Epidemiology, Kings College, London, UK
| | - Karsten Suhre
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany.,Department of Biophysics and Physiology, Weill Cornell Medical College in Qatar, Doha, Qatar
| | - Annette Peters
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Fabian J Theis
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.,Department of Mathematics, Technische Universitat München, Garching, Germany
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
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8
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Lee H, Qian K, von Toerne C, Hoerburger L, Claussnitzer M, Hoffmann C, Glunk V, Wahl S, Breier M, Eck F, Jafari L, Molnos S, Grallert H, Dahlman I, Arner P, Brunner C, Hauner H, Hauck SM, Laumen H. Allele-specific quantitative proteomics unravels molecular mechanisms modulated by cis-regulatory PPARG locus variation. Nucleic Acids Res 2017; 45:3266-3279. [PMID: 28334807 PMCID: PMC5389726 DOI: 10.1093/nar/gkx105] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [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: 09/08/2016] [Accepted: 02/07/2017] [Indexed: 12/11/2022] Open
Abstract
Genome-wide association studies identified numerous disease risk loci. Delineating molecular mechanisms influenced by cis-regulatory variants is essential to understand gene regulation and ultimately disease pathophysiology. Combining bioinformatics and public domain chromatin information with quantitative proteomics supports prediction of cis-regulatory variants and enabled identification of allele-dependent binding of both, transcription factors and coregulators at the type 2 diabetes associated PPARG locus. We found rs7647481A nonrisk allele binding of Yin Yang 1 (YY1), confirmed by allele-specific chromatin immunoprecipitation in primary adipocytes. Quantitative proteomics also found the coregulator RING1 and YY1 binding protein (RYBP) whose mRNA levels correlate with improved insulin sensitivity in primary adipose cells carrying the rs7647481A nonrisk allele. Our findings support a concept with diverse cis-regulatory variants contributing to disease pathophysiology at one locus. Proteome-wide identification of both, transcription factors and coregulators, can profoundly improve understanding of mechanisms underlying genetic associations.
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Affiliation(s)
- Heekyoung Lee
- Else Kroener-Fresenius-Center for Nutritional Medicine, Chair of Nutritional Medicine, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,ZIEL - Institute for Food & Health, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München and Technische Universität München, 85354 Freising-Weihenstephan, Germany.,German Center for Diabetes Research (DZD), Germany
| | - Kun Qian
- Else Kroener-Fresenius-Center for Nutritional Medicine, Chair of Nutritional Medicine, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,ZIEL - Institute for Food & Health, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München and Technische Universität München, 85354 Freising-Weihenstephan, Germany.,German Center for Diabetes Research (DZD), Germany.,Research Unit Protein Science, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Christine von Toerne
- German Center for Diabetes Research (DZD), Germany.,Research Unit Protein Science, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Lena Hoerburger
- ZIEL - Institute for Food & Health, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,Else Kroener-Fresenius-Center for Nutritional Medicine, Paediatric Nutritional Medicine, Technische Universität München, 85354 Freising-Weihenstephan, Germany
| | - Melina Claussnitzer
- Else Kroener-Fresenius-Center for Nutritional Medicine, Chair of Nutritional Medicine, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,ZIEL - Institute for Food & Health, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München and Technische Universität München, 85354 Freising-Weihenstephan, Germany.,German Center for Diabetes Research (DZD), Germany.,Hebrew SeniorLife Institute for Aging Research, Harvard Medical School, Boston, MA 02131, USA
| | - Christoph Hoffmann
- ZIEL - Institute for Food & Health, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,Else Kroener-Fresenius-Center for Nutritional Medicine, Chair of Molecular Nutritional Medicine, Technische Universität München, 85354 Freising-Weihenstephan, Germany
| | - Viktoria Glunk
- Else Kroener-Fresenius-Center for Nutritional Medicine, Chair of Nutritional Medicine, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,ZIEL - Institute for Food & Health, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München and Technische Universität München, 85354 Freising-Weihenstephan, Germany.,German Center for Diabetes Research (DZD), Germany
| | - Simone Wahl
- German Center for Diabetes Research (DZD), Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
| | - Michaela Breier
- German Center for Diabetes Research (DZD), Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
| | - Franziska Eck
- Research Unit Protein Science, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Leili Jafari
- Research Unit Protein Science, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Sophie Molnos
- German Center for Diabetes Research (DZD), Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
| | - Harald Grallert
- Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München and Technische Universität München, 85354 Freising-Weihenstephan, Germany.,German Center for Diabetes Research (DZD), Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
| | - Ingrid Dahlman
- Department of Medicine, Huddinge, Karolinska Institutet, SE-141 86 Stockholm, Sweden
| | - Peter Arner
- Department of Medicine, Huddinge, Karolinska Institutet, SE-141 86 Stockholm, Sweden
| | - Cornelia Brunner
- Klinik für Hals-Nasen-Ohrenheilkunde, Universitätsklinik Ulm, 89075 Ulm, Germany
| | - Hans Hauner
- Else Kroener-Fresenius-Center for Nutritional Medicine, Chair of Nutritional Medicine, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,ZIEL - Institute for Food & Health, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München and Technische Universität München, 85354 Freising-Weihenstephan, Germany.,German Center for Diabetes Research (DZD), Germany.,Else Kroener-Fresenius-Center for Nutritional Medicine, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany
| | - Stefanie M Hauck
- German Center for Diabetes Research (DZD), Germany.,Research Unit Protein Science, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Helmut Laumen
- Else Kroener-Fresenius-Center for Nutritional Medicine, Chair of Nutritional Medicine, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,ZIEL - Institute for Food & Health, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München and Technische Universität München, 85354 Freising-Weihenstephan, Germany.,German Center for Diabetes Research (DZD), Germany.,Research Unit Protein Science, Helmholtz Zentrum München, 85764 Neuherberg, Germany.,Else Kroener-Fresenius-Center for Nutritional Medicine, Paediatric Nutritional Medicine, Technische Universität München, 85354 Freising-Weihenstephan, Germany.,Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
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9
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Reitmeir P, Linkohr B, Heier M, Molnos S, Strobl R, Schulz H, Breier M, Faus T, Küster DM, Wulff A, Grallert H, Grill E, Peters A, Graw J. Common eye diseases in older adults of southern Germany: results from the KORA-Age study. Age Ageing 2017; 46:481-486. [PMID: 27974306 PMCID: PMC5405752 DOI: 10.1093/ageing/afw234] [Citation(s) in RCA: 12] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Indexed: 12/18/2022] Open
Abstract
Purpose a population-based study in the region of Augsburg (Germany, KORA) was used to identify the prevalence of eye diseases and their risk factors in a sample of aged individuals. Methods data originated from the KORA-Age study collected in 2012 and 822 participants (49.6% women, 50.4% men, aged 68–96 years) were asked standardised questions about eye diseases. Positive answers were validated and specified by treating ophthalmologists. Additional information came from laboratory data. Polymorphic markers were tested for candidate genes. Results we received validations and specifications for 339 participants. The most frequent eye diseases were cataracts (299 cases, 36%), dry eyes (120 cases, 15%), glaucoma (72 cases, 9%) and age-related macular degeneration (AMD) (68 cases, 8%). Almost all participants suffering from glaucoma or from AMD also had cataracts. Cataract surgery was associated with diabetes (in men; OR = 2.24; 95% confidence interval [CI] 1.11–4.53; P = 0.025) and smoking (in women; OR = 6.77; CI 1.62–28.35; P = 0.009). In men, treatments in airway diseases was associated with cataracts (glucocorticoids: OR = 5.29, CI 1.20–23.37; P = 0.028; sympathomimetics: OR = 4.57, CI 1.39–15.00; P = 0.012). Polymorphisms in two genes were associated with AMD (ARMS2: OR = 2.28, CI 1.48–3.51; P = 0.005; CFH: OR = 2.03, CI 1.35–3.06; P = 0.010). Conclusion combinations of eye diseases were frequent at old age. The importance of classical risk factors like diabetes, hypertension and airway diseases decreased either due to a survivor bias leaving healthier survivors in the older age group, or due to an increased influence of other up to now unknown risk factors.
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Affiliation(s)
- Peter Reitmeir
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Institute of Health Economics and Health Care Management, Neuherberg, Germany
| | - Birgit Linkohr
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Institute of Epidemiology II, Neuherberg, Germany
| | - Margit Heier
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Institute of Epidemiology II, Neuherberg, Germany
| | - Sophie Molnos
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Institute of Epidemiology II, Neuherberg, Germany
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Research Unit Molecular Epidemiology, Neuherberg, Germany
| | - Ralf Strobl
- Ludwig-Maximilians-Universität, Institute for Medical Information Processing, Biometry and Epidemiology, Munich, Germany
- Ludwig-Maximilians-Universität, German Center for Vertigo and Balance Disorders, Munich, Germany
| | - Holger Schulz
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Institute of Epidemiology I, Neuherberg, Germany
| | - Michaela Breier
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Institute of Epidemiology II, Neuherberg, Germany
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Research Unit Molecular Epidemiology, Neuherberg, Germany
| | - Theresa Faus
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Institute of Developmental Genetics, Neuherberg, Germany
| | - Dorothea M. Küster
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Institute of Epidemiology II, Neuherberg, Germany
| | - Andrea Wulff
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Institute of Health Economics and Health Care Management, Neuherberg, Germany
| | - Harald Grallert
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Institute of Epidemiology II, Neuherberg, Germany
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Research Unit Molecular Epidemiology, Neuherberg, Germany
| | - Eva Grill
- Ludwig-Maximilians-Universität, Institute for Medical Information Processing, Biometry and Epidemiology, Munich, Germany
- Ludwig-Maximilians-Universität, German Center for Vertigo and Balance Disorders, Munich, Germany
| | - Annette Peters
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Institute of Epidemiology II, Neuherberg, Germany
| | - Jochen Graw
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Umwelt und Gesundheit, Institute of Developmental Genetics, Neuherberg, Germany
- Address correspondence to: J. Graw, Tel: +49-89-3187-2610;
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Kriebel J, Herder C, Rathmann W, Wahl S, Kunze S, Molnos S, Volkova N, Schramm K, Carstensen-Kirberg M, Waldenberger M, Gieger C, Peters A, Illig T, Prokisch H, Roden M, Grallert H. Association between DNA Methylation in Whole Blood and Measures of Glucose Metabolism: KORA F4 Study. PLoS One 2016; 11:e0152314. [PMID: 27019061 PMCID: PMC4809492 DOI: 10.1371/journal.pone.0152314] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [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: 10/09/2015] [Accepted: 03/11/2016] [Indexed: 12/22/2022] Open
Abstract
Epigenetic regulation has been postulated to affect glucose metabolism, insulin sensitivity and the risk of type 2 diabetes. Therefore, we performed an epigenome-wide association study for measures of glucose metabolism in whole blood samples of the population-based Cooperative Health Research in the Region of Augsburg F4 study using the Illumina HumanMethylation 450 BeadChip. We identified a total of 31 CpG sites where methylation level was associated with measures of glucose metabolism after adjustment for age, sex, smoking, and estimated white blood cell proportions and correction for multiple testing using the Benjamini-Hochberg (B-H) method (four for fasting glucose, seven for fasting insulin, 25 for homeostasis model assessment-insulin resistance [HOMA-IR]; B-H-adjusted p-values between 9.2x10(-5) and 0.047). In addition, DNA methylation at cg06500161 (annotated to ABCG1) was associated with all the aforementioned phenotypes and 2-hour glucose (B-H-adjusted p-values between 9.2x10(-5) and 3.0x10(-3)). Methylation status of additional three CpG sites showed an association with fasting insulin only after additional adjustment for body mass index (BMI) (B-H-adjusted p-values = 0.047). Overall, effect strengths were reduced by around 30% after additional adjustment for BMI, suggesting that this variable has an influence on the investigated phenotypes. Furthermore, we found significant associations between methylation status of 21 of the aforementioned CpG sites and 2-hour insulin in a subset of samples with seven significant associations persisting after additional adjustment for BMI. In a subset of 533 participants, methylation of the CpG site cg06500161 (ABCG1) was inversely associated with ABCG1 gene expression (B-H-adjusted p-value = 1.5x10(-9)). Additionally, we observed an enrichment of the top 1,000 CpG sites for diabetes-related canonical pathways using Ingenuity Pathway Analysis. In conclusion, our study indicates that DNA methylation and diabetes-related traits are associated and that these associations are partially BMI-dependent. Furthermore, the interaction of ABCG1 with glucose metabolism is modulated by epigenetic processes.
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Affiliation(s)
- Jennifer Kriebel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany
| | - Christian Herder
- German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Simone Wahl
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany
| | - Sonja Kunze
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
| | - Sophie Molnos
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany
| | - Nadezda Volkova
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
| | - Katharina Schramm
- Institute of Human Genetics, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universitaet Muenchen, Munich, Germany
| | - Maren Carstensen-Kirberg
- German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
| | - Annette Peters
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany
| | - Thomas Illig
- Hannover Unified Biobank, Hannover Medical School, Hanover, Germany
- Institute of Human Genetics, Hannover Medical School, Hanover, Germany
| | - Holger Prokisch
- Institute of Human Genetics, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universitaet Muenchen, Munich, Germany
| | - Michael Roden
- German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Duesseldorf, Duesseldorf, Germany
- Department of Endocrinology and Diabetology, University Hospital Duesseldorf, Duesseldorf, Germany
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Muenchen-Neuherberg, Germany
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