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Kreitmaier P, Park YC, Swift D, Gilly A, Wilkinson JM, Zeggini E. Epigenomic profiling of the infrapatellar fat pad in osteoarthritis. Hum Mol Genet 2024; 33:501-509. [PMID: 37975894 PMCID: PMC10939427 DOI: 10.1093/hmg/ddad198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/13/2023] [Accepted: 11/07/2023] [Indexed: 11/19/2023] Open
Abstract
Osteoarthritis is a prevalent, complex disease of the joints, and affects multiple intra-articular tissues. Here, we have examined genome-wide DNA methylation profiles of primary infrapatellar fat pad and matched blood samples from 70 osteoarthritis patients undergoing total knee replacement surgery. Comparing the DNA methylation profiles between these tissues reveal widespread epigenetic differences. We produce the first genome-wide methylation quantitative trait locus (mQTL) map of fat pad, and make the resource available to the wider community. Using two-sample Mendelian randomization and colocalization analyses, we resolve osteoarthritis GWAS signals and provide insights into the molecular mechanisms underpinning disease aetiopathology. Our findings provide the first view of the epigenetic landscape of infrapatellar fat pad primary tissue in osteoarthritis.
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Affiliation(s)
- Peter Kreitmaier
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine and Health, Ismaninger Str. 22, Munich 81675, Germany
- Graduate School of Experimental Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, Munich 81675, Germany
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, Neuherberg 85764, Germany
| | - Young-Chan Park
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, Neuherberg 85764, Germany
| | - Diane Swift
- Department of Oncology and Metabolism, The University of Sheffield, Beech Hill Rd, Sheffield S10 2RX, United Kingdom
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, Neuherberg 85764, Germany
| | - J Mark Wilkinson
- Department of Oncology and Metabolism, The University of Sheffield, Beech Hill Rd, Sheffield S10 2RX, United Kingdom
| | - Eleftheria Zeggini
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine and Health, Ismaninger Str. 22, Munich 81675, Germany
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, Neuherberg 85764, Germany
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2
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Senftleber NK, Andersen MK, Jørsboe E, Stæger FF, Nøhr AK, Garcia-Erill G, Meisner J, Santander CG, Balboa RF, Gilly A, Bjerregaard P, Larsen CVL, Grarup N, Jørgensen ME, Zeggini E, Moltke I, Hansen T, Albrechtsen A. GWAS of lipids in Greenlanders finds association signals shared with Europeans and reveals an independent PCSK9 association signal. Eur J Hum Genet 2024; 32:215-223. [PMID: 37903942 PMCID: PMC10853193 DOI: 10.1038/s41431-023-01485-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 09/14/2023] [Accepted: 10/11/2023] [Indexed: 11/01/2023] Open
Abstract
Perturbation of lipid homoeostasis is a major risk factor for cardiovascular disease (CVD), the leading cause of death worldwide. We aimed to identify genetic variants affecting lipid levels, and thereby risk of CVD, in Greenlanders. Genome-wide association studies (GWAS) of six blood lipids, triglycerides, LDL-cholesterol, HDL-cholesterol, total cholesterol, as well as apolipoproteins A1 and B, were performed in up to 4473 Greenlanders. For genome-wide significant variants, we also tested for associations with additional traits, including CVD events. We identified 11 genome-wide significant loci associated with lipid traits. Most of these loci were already known in Europeans, however, we found a potential causal variant near PCSK9 (rs12117661), which was independent of the known PCSK9 loss-of-function variant (rs11491147). rs12117661 was associated with lower LDL-cholesterol (βSD(SE) = -0.22 (0.03), p = 6.5 × 10-12) and total cholesterol (-0.17 (0.03), p = 1.1 × 10-8) in the Greenlandic study population. Similar associations were observed in Europeans from the UK Biobank, where the variant was also associated with a lower risk of CVD outcomes. Moreover, rs12117661 was a top eQTL for PCSK9 across tissues in European data from the GTEx portal, and was located in a predicted regulatory element, supporting a possible causal impact on PCSK9 expression. Combined, the 11 GWAS signals explained up to 16.3% of the variance of the lipid traits. This suggests that the genetic architecture of lipid levels in Greenlanders is different from Europeans, with fewer variants explaining the variance.
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Affiliation(s)
- Ninna Karsbæk Senftleber
- Clinical Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Herlev, Denmark
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emil Jørsboe
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Frederik Filip Stæger
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Anne Krogh Nøhr
- Center for Clinical Data Science, Department of Clinical Medicine, Aalborg University and Research, Education, and Innovation, Aalborg University Hospital, Aalborg, Denmark
| | - Genis Garcia-Erill
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Jonas Meisner
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Cindy G Santander
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Renzo F Balboa
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Peter Bjerregaard
- Centre for Public Health in Greenland, National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Christina Viskum Lytken Larsen
- Centre for Public Health in Greenland, National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
- Greenland Center for Health Research, Institute for Health and Nature, University of Greenland, Nuuk, Greenland
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marit Eika Jørgensen
- Clinical Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Herlev, Denmark
- Centre for Public Health in Greenland, National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
- Steno Diabetes Center Greenland, Nuuk, Greenland
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | - Ida Moltke
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Anders Albrechtsen
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
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3
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Gilly A, Park YC, Tsafantakis E, Karaleftheri M, Dedoussis G, Zeggini E. Genome-wide meta-analysis of 92 cardiometabolic protein serum levels. Mol Metab 2023; 78:101810. [PMID: 37778719 PMCID: PMC10582065 DOI: 10.1016/j.molmet.2023.101810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 09/11/2023] [Accepted: 09/19/2023] [Indexed: 10/03/2023] Open
Abstract
OBJECTIVES Global cardiometabolic disease prevalence has grown rapidly over the years, making it the leading cause of death worldwide. Proteins are crucial components in biological pathways dysregulated in disease states. Identifying genetic components that influence circulating protein levels may lead to the discovery of biomarkers for early stages of disease or offer opportunities as therapeutic targets. METHODS Here, we carry out a genome-wide association study (GWAS) utilising whole genome sequencing data in 3,005 individuals from the HELIC founder populations cohort, across 92 proteins of cardiometabolic relevance. RESULTS We report 322 protein quantitative trait loci (pQTL) signals across 92 proteins, of which 76 are located in or near the coding gene (cis-pQTL). We link those association signals with changes in protein expression and cardiometabolic disease risk using colocalisation and Mendelian randomisation (MR) analyses. CONCLUSIONS The majority of previously unknown signals we describe point to proteins or protein interactions involved in inflammation and immune response, providing genetic evidence for the contributing role of inflammation in cardiometabolic disease processes.
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Affiliation(s)
- Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Young-Chan Park
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | | | | | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany.
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Carland C, Png G, Malarstig A, Kho PF, Gustafsson S, Michaelsson K, Lind L, Tsafantakis E, Karaleftheri M, Dedoussis G, Ramisch A, Macdonald-Dunlop E, Klaric L, Joshi PK, Chen Y, Björck HM, Eriksson P, Carrasco-Zanini J, Wheeler E, Suhre K, Gilly A, Zeggini E, Viñuela A, Dermitzakis ET, Wilson JF, Langenberg C, Thareja G, Halama A, Schmidt F, Zanetti D, Assimes T. Proteomic analysis of 92 circulating proteins and their effects in cardiometabolic diseases. Clin Proteomics 2023; 20:31. [PMID: 37550624 PMCID: PMC10405520 DOI: 10.1186/s12014-023-09421-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 07/17/2023] [Indexed: 08/09/2023] Open
Abstract
BACKGROUND Human plasma contains a wide variety of circulating proteins. These proteins can be important clinical biomarkers in disease and also possible drug targets. Large scale genomics studies of circulating proteins can identify genetic variants that lead to relative protein abundance. METHODS We conducted a meta-analysis on genome-wide association studies of autosomal chromosomes in 22,997 individuals of primarily European ancestry across 12 cohorts to identify protein quantitative trait loci (pQTL) for 92 cardiometabolic associated plasma proteins. RESULTS We identified 503 (337 cis and 166 trans) conditionally independent pQTLs, including several novel variants not reported in the literature. We conducted a sex-stratified analysis and found that 118 (23.5%) of pQTLs demonstrated heterogeneity between sexes. The direction of effect was preserved but there were differences in effect size and significance. Additionally, we annotate trans-pQTLs with nearest genes and report plausible biological relationships. Using Mendelian randomization, we identified causal associations for 18 proteins across 19 phenotypes, of which 10 have additional genetic colocalization evidence. We highlight proteins associated with a constellation of cardiometabolic traits including angiopoietin-related protein 7 (ANGPTL7) and Semaphorin 3F (SEMA3F). CONCLUSION Through large-scale analysis of protein quantitative trait loci, we provide a comprehensive overview of common variants associated with plasma proteins. We highlight possible biological relationships which may serve as a basis for further investigation into possible causal roles in cardiometabolic diseases.
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Affiliation(s)
- Corinne Carland
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Grace Png
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Anders Malarstig
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Pfizer Worldwide Research, Development and Medical, Stockholm, Sweden
| | - Pik Fang Kho
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford Cardiovascular Institute, Palo Alto, CA, USA
| | - Stefan Gustafsson
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Karl Michaelsson
- Department of Surgical Sciences, Medical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | | | | | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Anna Ramisch
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva Medical School, Geneva, Switzerland
| | - Erin Macdonald-Dunlop
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland
| | - Lucija Klaric
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland
| | - Yan Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Hanna M Björck
- Cardiovascular Medicine, Medicine, Karolinska Institute, Stockholm, Sweden
| | - Per Eriksson
- Cardiovascular Medicine, Medicine, Karolinska Institute, Stockholm, Sweden
| | | | - Eleanor Wheeler
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Karsten Suhre
- Bioinformatics Core, Cornell Medicine - Qatar Research, Doha, Qatar
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | - Ana Viñuela
- Biosciences Institute, Faculty of Medical Sciences, University of Newcastle, Newcastle, UK
| | - Emmanouil T Dermitzakis
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva Medical School, Geneva, Switzerland
| | - James F Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- Computational medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
| | - Gaurav Thareja
- Bioinformatics Core, Cornell Medicine - Qatar Research, Doha, Qatar
| | - Anna Halama
- Bioinformatics Core, Cornell Medicine - Qatar Research, Doha, Qatar
| | - Frank Schmidt
- Proteomics Core, Research, Weill Cornell Medicine - Qatar, Doha, Qatar
| | - Daniela Zanetti
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford Cardiovascular Institute, Palo Alto, CA, USA
| | - Themistocles Assimes
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford Cardiovascular Institute, Palo Alto, CA, USA.
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5
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Bocher O, Gilly A, Park YC, Zeggini E, Morris AP. Bridging the diversity gap: Analytical and study design considerations for improving the accuracy of trans-ancestry genetic prediction. HGG Adv 2023; 4:100214. [PMID: 37448981 PMCID: PMC10336686 DOI: 10.1016/j.xhgg.2023.100214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 06/12/2023] [Indexed: 07/18/2023] Open
Abstract
Genetic prediction of common complex disease risk is an essential component of precision medicine. Currently, genome-wide association studies (GWASs) are mostly composed of European-ancestry samples and resulting polygenic scores (PGSs) have been shown to poorly transfer to other ancestries partly due to heterogeneity of allelic effects between populations. Fixed-effects (FETA) and random-effects (RETA) trans-ancestry meta-analyses do not model such ancestry-related heterogeneity, while ancestry-specific (AS) scores may suffer from low power due to low sample sizes. In contrast, trans-ancestry meta-regression (TAMR) builds ancestry-aware PGS that account for more complex trans-ancestry architectures. Here, we examine the predictive performance of these four PGSs under multiple genetic architectures and ancestry configurations. We show that the predictive performance of FETA and RETA is strongly affected by cross-ancestry genetic heterogeneity, while AS PGS performance decreases in under-represented target populations. TAMR PGS is also impacted by heterogeneity but maintains good prediction performance in most situations, especially in ancestry-diverse scenarios. In simulations of human complex traits, TAMR scores currently explain 25% more phenotypic variance than AS in triglyceride levels and 33% more phenotypic variance than FETA in type 2 diabetes in most non-European populations. Importantly, a high proportion of non-European-ancestry individuals is needed to reach prediction levels that are comparable in those populations to the one observed in European-ancestry studies. Our results highlight the need to rebalance the ancestral composition of GWAS to enable accurate prediction in non-European-ancestry groups, and demonstrate the relevance of meta-regression approaches for compensating some of the current population biases in GWAS.
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Affiliation(s)
| | | | | | - Eleftheria Zeggini
- ITG, Helmholtz Zentrum München, Munich, Germany
- Technical University of Munich, Munich, Germany
- Klinikum Rechts der Isar, Munich, Germany
| | - Andrew P. Morris
- ITG, Helmholtz Zentrum München, Munich, Germany
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, UK
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6
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Repetto L, Chen J, Yang Z, Zhai R, Timmers PRHJ, Li T, Twait EL, May-Wilson S, Muckian MD, Prins BP, Png G, Kooperberg C, Johansson Å, Hillary RF, Wheeler E, Pan L, He Y, Klasson S, Ahmad S, Peters JE, Gilly A, Karaleftheri M, Tsafantakis E, Haessler J, Gyllensten U, Harris SE, Wareham NJ, Göteson A, Lagging C, Ikram MA, van Duijn CM, Jern C, Landén M, Langenberg C, Deary IJ, Marioni RE, Enroth S, Reiner AP, Dedoussis G, Zeggini E, Butterworth AS, Mälarstig A, Wilson JF, Navarro P, Shen X. Unraveling Neuro-Proteogenomic Landscape and Therapeutic Implications for Human Behaviors and Psychiatric Disorders. Res Sq 2023:rs.3.rs-2720355. [PMID: 37034613 PMCID: PMC10081382 DOI: 10.21203/rs.3.rs-2720355/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Understanding the genetic basis of neuro-related proteins is essential for dissecting the molecular basis of human behavioral traits and the disease etiology of neuropsychiatric disorders. Here, the SCALLOP Consortium conducted a genome-wide association meta-analysis of over 12,500 individuals for 184 neuro-related proteins in human plasma. The analysis identified 117 cis-regulatory protein quantitative trait loci (cis-pQTL) and 166 trans-pQTL. The mapped pQTL capture on average 50% of each protein's heritability. Mendelian randomization analyses revealed multiple proteins showing potential causal effects on neuro-related traits such as sleeping, smoking, feelings, alcohol intake, mental health, and psychiatric disorders. Integrating with established drug information, we validated 13 out of 13 matched combinations of protein targets and diseases or side effects with available drugs, while suggesting hundreds of re-purposing and new therapeutic targets. This consortium effort provides a large-scale proteogenomic resource for biomedical research on human behaviors and other neuro-related phenotypes.
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Affiliation(s)
- Linda Repetto
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
| | - Jiantao Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Zhijian Yang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ranran Zhai
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Paul R. H. J. Timmers
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Ting Li
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Emma L. Twait
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrechtand Utrecht University, Utrecht, Netherlands
| | - Sebastian May-Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Marisa D. Muckian
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Bram P. Prins
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Grace Png
- Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM), School of Medicine, 81675 Munich, Germany
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle USA
| | - Åsa Johansson
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Robert F. Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom
| | - Eleanor Wheeler
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Lu Pan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Yazhou He
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Sofia Klasson
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Shahzad Ahmad
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands
| | - James E. Peters
- Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | | | | | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle USA
| | - Ulf Gyllensten
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Sarah E. Harris
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Andreas Göteson
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Cecilia Lagging
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Genetics and Genomics, Gothenburg, Sweden
| | | | | | - Christina Jern
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Computational Medicine, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Germany
| | - Ian J. Deary
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom
| | - Riccardo E. Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom
| | - Stefan Enroth
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and Department of Epidemiology, University of Washington, Seattle USA
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | - Adam S. Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
| | - Anders Mälarstig
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Emerging Science and Innovation, Pfizer Worldwide Research, Development and Medical, Cambridge, UK
| | - James F. Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Pau Navarro
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Xia Shen
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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7
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Repetto L, Chen J, Yang Z, Zhai R, Timmers PRHJ, Li T, Twait EL, May-Wilson S, Muckian MD, Prins BP, Png G, Kooperberg C, Johansson Å, Hillary RF, Wheeler E, Pan L, He Y, Klasson S, Ahmad S, Peters JE, Gilly A, Karaleftheri M, Tsafantakis E, Haessler J, Gyllensten U, Harris SE, Wareham NJ, Göteson A, Lagging C, Ikram MA, van Duijn CM, Jern C, Landén M, Langenberg C, Deary IJ, Marioni RE, Enroth S, Reiner AP, Dedoussis G, Zeggini E, Butterworth AS, Mälarstig A, Wilson JF, Navarro P, Shen X. Genetic mechanisms of 184 neuro-related proteins in human plasma. medRxiv 2023:2023.02.10.23285650. [PMID: 36824751 PMCID: PMC9949195 DOI: 10.1101/2023.02.10.23285650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Understanding the genetic basis of neuro-related proteins is essential for dissecting the disease etiology of neuropsychiatric disorders and other complex traits and diseases. Here, the SCALLOP Consortium conducted a genome-wide association meta-analysis of over 12,500 individuals for 184 neuro-reiated proteins in human plasma. The analysis identified 117 cis-regulatory protein quantitative trait loci (cis-pQTL) and 166 trans-pQTL. The mapped pQTL capture on average 50% of each protein's heritability. Mendelian randomization analyses revealed multiple proteins showing potential causal effects on neuro-reiated traits as well as complex diseases such as hypertension, high cholesterol, immune-related disorders, and psychiatric disorders. Integrating with established drug information, we validated 13 combinations of protein targets and diseases or side effects with available drugs, while suggesting hundreds of re-purposing and new therapeutic targets for diseases and comorbidities. This consortium effort provides a large-scale proteogenomic resource for biomedical research.
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Affiliation(s)
- Linda Repetto
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
| | - Jiantao Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Zhijian Yang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ranran Zhai
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Paul R. H. J. Timmers
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Ting Li
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Emma L. Twait
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands
| | - Sebastian May-Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Marisa D. Muckian
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Bram P. Prins
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Grace Png
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM), School of Medicine, 81675 Munich, Germany
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle USA
| | - Åsa Johansson
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Robert F. Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom
| | - Eleanor Wheeler
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Lu Pan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Yazhou He
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Sofia Klasson
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Shahzad Ahmad
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands
| | - James E. Peters
- Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | | | | | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle USA
| | - Ulf Gyllensten
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Sarah E. Harris
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Andreas Göteson
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Cecilia Lagging
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Genetics and Genomics, Gothenburg, Sweden
| | | | | | - Christina Jern
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Computational Medicine, Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Germany
| | - Ian J. Deary
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom
| | - Riccardo E. Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom
| | - Stefan Enroth
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and Department of Epidemiology, University of Washington, Seattle USA
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | - Adam S. Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
| | - Anders Mälarstig
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Emerging Science and Innovation, Pfizer Worldwide Research, Development and Medical, Cambridge, UK
| | - James F. Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Pau Navarro
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Xia Shen
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and Department of Epidemiology, University of Washington, Seattle USA
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8
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Png G, Gerlini R, Hatzikotoulas K, Barysenka A, Rayner NW, Klarić L, Rathkolb B, Aguilar-Pimentel JA, Rozman J, Fuchs H, Gailus-Durner V, Tsafantakis E, Karaleftheri M, Dedoussis G, Pietrzik C, Wilson JF, Angelis MH, Becker-Pauly C, Gilly A, Zeggini E. Identifying causal serum protein-cardiometabolic trait relationships using whole genome sequencing. Hum Mol Genet 2022; 32:1266-1275. [PMID: 36349687 PMCID: PMC10077504 DOI: 10.1093/hmg/ddac275] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 10/24/2022] [Accepted: 10/27/2022] [Indexed: 11/10/2022] Open
Abstract
Cardiometabolic diseases, such as type 2 diabetes and cardiovascular disease, have a high public health burden. Understanding the genetically-determined regulation of proteins that are dysregulated in disease can help to dissect the complex biology underpinning them. Here, we perform a protein quantitative trait locus (pQTL) analysis of 255 serum proteins relevant to cardiometabolic processes in 2893 individuals. Meta-analysing whole-genome sequencing (WGS) data from two Greek cohorts, MANOLIS (n = 1356; 22.5x WGS) and Pomak (n = 1537; 18.4x WGS), we detect 302 independently-associated pQTL variants for 171 proteins, including 12 rare variants (minor allele frequency [MAF] < 1%). We additionally find 15 pQTL variants that are rare in non-Finnish European populations, but have drifted up in frequency in the discovery cohorts here. We identify proteins causally associated with cardiometabolic traits, including MEP1B for high-density lipoprotein levels; and describe a knock-out Mep1b mouse model. Our findings furnish insights into the genetic architecture of the serum proteome, identify new protein-disease relationships, and demonstrate the importance of isolated populations in pQTL analysis.
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Affiliation(s)
- Grace Png
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Raffaele Gerlini
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Konstantinos Hatzikotoulas
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Andrei Barysenka
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - N William Rayner
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Lucija Klarić
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Birgit Rathkolb
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany.,Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians University Munich, Munich, Germany
| | - Juan A Aguilar-Pimentel
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Jan Rozman
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany.,Institute of Molecular Genetics of the Czech Academy of Sciences, Czech Centre for Phenogenomics, Vestec, Czech Republic
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | | | | | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Claus Pietrzik
- Institute for Pathobiochemistry, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - James F Wilson
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.,Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Martin Hrabe Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany.,Chair of Experimental Genetics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Christoph Becker-Pauly
- Institute of Biochemistry, Unit for Degradomics of the Protease Web, University of Kiel, Kiel, Germany
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
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9
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Gilly A, Klaric L, Park YC, Png G, Barysenka A, Marsh JA, Tsafantakis E, Karaleftheri M, Dedoussis G, Wilson JF, Zeggini E. Gene-based whole genome sequencing meta-analysis of 250 circulating proteins in three isolated European populations. Mol Metab 2022; 61:101509. [PMID: 35504531 PMCID: PMC9118462 DOI: 10.1016/j.molmet.2022.101509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/26/2022] [Accepted: 04/26/2022] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE Deep sequencing offers unparalleled access to rare variants in human populations. Understanding their role in disease is a priority, yet prohibitive sequencing costs mean that many cohorts lack the sample size to discover these effects on their own. Meta-analysis of individual variant scores allows the combination of rare variants across cohorts and study of their aggregated effect at the gene level, boosting discovery power. However, the methods involved have largely not been field-tested. In this study, we aim to perform the first meta-analysis of gene-based rare variant aggregation optimal tests, applied to the human cardiometabolic proteome. METHODS Here, we carry out this analysis across MANOLIS, Pomak and ORCADES, three isolated European cohorts with whole-genome sequencing (total N = 4,422). We examine the genetic architecture of 250 proteomic traits of cardiometabolic relevance. We use a containerised pipeline to harmonise variant lists across cohorts and define four sets of qualifying variants. For every gene, we interrogate protein-damaging variants, exonic variants, exonic and regulatory variants, and regulatory only variants, using the CADD and Eigen scores to weigh variants according to their predicted functional consequence. We perform single-cohort rare variant analysis and meta-analyse variant scores using the SMMAT package. RESULTS We describe 5 rare variant pQTLs (RV-pQTL) which pass our stringent significance threshold (7.45 × 10-11) and quality control procedure. These were split between four cis signals for MARCO, TEK, MMP2 and MPO, and one trans association for GDF2 in the SERPINA11 gene. We show that the cis-MPO association, which was not detectable using the single-point data alone, is driven by 5 missense and frameshift variants. These include rs140636390 and rs119468010, which are specific to MANOLIS and ORCADES, respectively. We show how this kind of signal could improve the predictive accuracy of genetic factors in common complex disease such as stroke and cardiovascular disease. CONCLUSIONS Our proof-of-concept study demonstrates the power of gene-based meta-analyses for discovering disease-relevant associations complementing common-variant signals by incorporating population-specific rare variation.
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Affiliation(s)
- Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Lucija Klaric
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Young-Chan Park
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Grace Png
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany; TUM School of Medicine, Technical University of Munich and Klinikum Rechts der Isar, Ismaninger Straße 22, 8167 Munich, Germany
| | - Andrei Barysenka
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Joseph A Marsh
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | | | | | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, 70, El. Venizelou ave. 17671, Kallithea, Greece
| | - James F Wilson
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK; Centre for Global Health Research, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany; TUM School of Medicine, Technical University of Munich and Klinikum Rechts der Isar, Ismaninger Straße 22, 8167 Munich, Germany.
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10
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Yang Z, Macdonald-Dunlop E, Chen J, Zhai R, Li T, Richmond A, Klarić L, Pirastu N, Ning Z, Zheng C, Wang Y, Huang T, He Y, Guo H, Ying K, Gustafsson S, Prins B, Ramisch A, Dermitzakis ET, Png G, Eriksson N, Haessler J, Hu X, Zanetti D, Boutin T, Hwang SJ, Wheeler E, Pietzner M, Raffield LM, Kalnapenkis A, Peters JE, Viñuela A, Gilly A, Elmståhl S, Dedoussis G, Petrie JR, Polašek O, Folkersen L, Chen Y, Yao C, Võsa U, Pairo-Castineira E, Clohisey S, Bretherick AD, Rawlik K, Esko T, Enroth S, Johansson Å, Gyllensten U, Langenberg C, Levy D, Hayward C, Assimes TL, Kooperberg C, Manichaikul AW, Siegbahn A, Wallentin L, Lind L, Zeggini E, Schwenk JM, Butterworth AS, Michaëlsson K, Pawitan Y, Joshi PK, Baillie JK, Mälarstig A, Reiner AP, Wilson JF, Shen X. Genetic Landscape of the ACE2 Coronavirus Receptor. Circulation 2022; 145:1398-1411. [PMID: 35387486 PMCID: PMC9047645 DOI: 10.1161/circulationaha.121.057888] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [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] [Indexed: 02/02/2023]
Abstract
BACKGROUND SARS-CoV-2, the causal agent of COVID-19, enters human cells using the ACE2 (angiotensin-converting enzyme 2) protein as a receptor. ACE2 is thus key to the infection and treatment of the coronavirus. ACE2 is highly expressed in the heart and respiratory and gastrointestinal tracts, playing important regulatory roles in the cardiovascular and other biological systems. However, the genetic basis of the ACE2 protein levels is not well understood. METHODS We have conducted the largest genome-wide association meta-analysis of plasma ACE2 levels in >28 000 individuals of the SCALLOP Consortium (Systematic and Combined Analysis of Olink Proteins). We summarize the cross-sectional epidemiological correlates of circulating ACE2. Using the summary statistics-based high-definition likelihood method, we estimate relevant genetic correlations with cardiometabolic phenotypes, COVID-19, and other human complex traits and diseases. We perform causal inference of soluble ACE2 on vascular disease outcomes and COVID-19 severity using mendelian randomization. We also perform in silico functional analysis by integrating with other types of omics data. RESULTS We identified 10 loci, including 8 novel, capturing 30% of the heritability of the protein. We detected that plasma ACE2 was genetically correlated with vascular diseases, severe COVID-19, and a wide range of human complex diseases and medications. An X-chromosome cis-protein quantitative trait loci-based mendelian randomization analysis suggested a causal effect of elevated ACE2 levels on COVID-19 severity (odds ratio, 1.63 [95% CI, 1.10-2.42]; P=0.01), hospitalization (odds ratio, 1.52 [95% CI, 1.05-2.21]; P=0.03), and infection (odds ratio, 1.60 [95% CI, 1.08-2.37]; P=0.02). Tissue- and cell type-specific transcriptomic and epigenomic analysis revealed that the ACE2 regulatory variants were enriched for DNA methylation sites in blood immune cells. CONCLUSIONS Human plasma ACE2 shares a genetic basis with cardiovascular disease, COVID-19, and other related diseases. The genetic architecture of the ACE2 protein is mapped, providing a useful resource for further biological and clinical studies on this coronavirus receptor.
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Affiliation(s)
- Zhijian Yang
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China (Z.Y., J.C., R.Z., T.L., Z.N., C.Z., Y.W., X.S.)
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, China (Z.Y., J.C., R.Z., T.L., X.S.)
| | - Erin Macdonald-Dunlop
- Centre for Global Health Research, Usher Institute, University of Edinburgh, UK (E.M.-D., N.P., Y.H., P.K.J., J.F.W., X.S.)
| | - Jiantao Chen
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China (Z.Y., J.C., R.Z., T.L., Z.N., C.Z., Y.W., X.S.)
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, China (Z.Y., J.C., R.Z., T.L., X.S.)
| | - Ranran Zhai
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China (Z.Y., J.C., R.Z., T.L., Z.N., C.Z., Y.W., X.S.)
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, China (Z.Y., J.C., R.Z., T.L., X.S.)
| | - Ting Li
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China (Z.Y., J.C., R.Z., T.L., Z.N., C.Z., Y.W., X.S.)
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, China (Z.Y., J.C., R.Z., T.L., X.S.)
| | - Anne Richmond
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, UK (A. Richmond, L.K., T.B., E.P.-C., A.D.B., C.H., J.F.W.)
| | - Lucija Klarić
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, UK (A. Richmond, L.K., T.B., E.P.-C., A.D.B., C.H., J.F.W.)
| | - Nicola Pirastu
- Centre for Global Health Research, Usher Institute, University of Edinburgh, UK (E.M.-D., N.P., Y.H., P.K.J., J.F.W., X.S.)
- Human Technopole Viale Rita Levi-Montalcini, Milan, Italy (N.P.)
| | - Zheng Ning
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China (Z.Y., J.C., R.Z., T.L., Z.N., C.Z., Y.W., X.S.)
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (Z.N., T.H., Y.C., Y.P., A.M., X.S.)
| | - Chenqing Zheng
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China (Z.Y., J.C., R.Z., T.L., Z.N., C.Z., Y.W., X.S.)
| | - Yipeng Wang
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China (Z.Y., J.C., R.Z., T.L., Z.N., C.Z., Y.W., X.S.)
| | - Tingting Huang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (Z.N., T.H., Y.C., Y.P., A.M., X.S.)
| | - Yazhou He
- Centre for Global Health Research, Usher Institute, University of Edinburgh, UK (E.M.-D., N.P., Y.H., P.K.J., J.F.W., X.S.)
- West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu (Y.H.)
| | - Huiming Guo
- Department of Cardiac Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital Guangdong Academy of Medical Sciences, Guangzhou, China (H.G.)
| | - Kejun Ying
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (K.Y.)
- T.H. Chan School of Public Health, Harvard University, Boston, MA (K.Y.)
| | - Stefan Gustafsson
- Department of Medical Sciences, Uppsala University, Sweden (A.S., S.G., L.W., L.L.)
| | - Bram Prins
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK (B.P., J.E.P., A.S.B.)
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge (B.P., J.E.P., A.S.B.)
| | - Anna Ramisch
- Department of Genetic Medicine and Development, University of Geneva Medical School, Switzerland (A. Ramisch, E.T.D., A.V.)
| | - Emmanouil T. Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Switzerland (A. Ramisch, E.T.D., A.V.)
| | - Grace Png
- Institute of Translational Genomics, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany (G.P., A.G., E.Z.)
- Technical University of Munich (TUM), School of Medicine, Germany (G.P.)
| | | | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA (J.H., C.K., A.P.R.)
| | - Xiaowei Hu
- Center for Public Health Genomics, University of Virginia, Charlottesville (X.H., A.W.M.)
| | - Daniela Zanetti
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (D.Z., T.L.A.)
- Stanford Cardiovascular Institute, Stanford University, CA (D.Z., T.L.A.)
| | - Thibaud Boutin
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, UK (A. Richmond, L.K., T.B., E.P.-C., A.D.B., C.H., J.F.W.)
| | - Shih-Jen Hwang
- Framingham Heart Study, MA (S.-J.H., C.Y., D.L.)
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (S.-J.H., C.Y., D.L.)
| | - Eleanor Wheeler
- MRC Epidemiology Unit, University of Cambridge, UK (E.W., M.P., C.L.)
| | - Maik Pietzner
- MRC Epidemiology Unit, University of Cambridge, UK (E.W., M.P., C.L.)
- Computational Medicine, Berlin Institute of Health at Charité–Universitätsmedizin, Germany (M.P., C.L.)
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill (L.M.R.)
| | - Anette Kalnapenkis
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Estonia (A.K., U.V., T.E.)
- Institute of Molecular and Cell Biology, University of Tartu, Estonia (A.K.)
| | - James E. Peters
- Department of Immunology and Inflammation, Imperial College London, UK (J.E.P.)
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK (B.P., J.E.P., A.S.B.)
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge (B.P., J.E.P., A.S.B.)
| | - Ana Viñuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Switzerland (A. Ramisch, E.T.D., A.V.)
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, UK (A.V.)
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany (G.P., A.G., E.Z.)
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK (A.G., E.Z.)
| | - Sölve Elmståhl
- Faculty of Medicine, Lund University, Sweden (S. Elmståhl)
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Greece (G.D.)
| | - John R. Petrie
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, UK (J. Petrie)
| | - Ozren Polašek
- University of Split School of Medicine, Croatia (O.P.)
- Algebra University College, Ilica, Zagreb, Croatia (O.P.)
| | | | - Yan Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (Z.N., T.H., Y.C., Y.P., A.M., X.S.)
| | - Chen Yao
- Framingham Heart Study, MA (S.-J.H., C.Y., D.L.)
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (S.-J.H., C.Y., D.L.)
| | - Urmo Võsa
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Estonia (A.K., U.V., T.E.)
| | - Erola Pairo-Castineira
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, UK (A. Richmond, L.K., T.B., E.P.-C., A.D.B., C.H., J.F.W.)
- Roslin Institute, University of Edinburgh, Easter Bush, UK (E.P.-C., S.C., K.R., J.K.B.)
| | - Sara Clohisey
- Roslin Institute, University of Edinburgh, Easter Bush, UK (E.P.-C., S.C., K.R., J.K.B.)
| | - Andrew D. Bretherick
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, UK (A. Richmond, L.K., T.B., E.P.-C., A.D.B., C.H., J.F.W.)
| | - Konrad Rawlik
- Roslin Institute, University of Edinburgh, Easter Bush, UK (E.P.-C., S.C., K.R., J.K.B.)
| | | | | | - Tõnu Esko
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Estonia (A.K., U.V., T.E.)
| | - Stefan Enroth
- Department of Immunology, Genetics and Pathology, Uppsala Universitet, Science for Life Laboratory, Sweden (S. Enroth, A.J., U.G.)
| | - Åsa Johansson
- Department of Immunology, Genetics and Pathology, Uppsala Universitet, Science for Life Laboratory, Sweden (S. Enroth, A.J., U.G.)
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Uppsala Universitet, Science for Life Laboratory, Sweden (S. Enroth, A.J., U.G.)
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge, UK (E.W., M.P., C.L.)
- Computational Medicine, Berlin Institute of Health at Charité–Universitätsmedizin, Germany (M.P., C.L.)
| | - Daniel Levy
- Framingham Heart Study, MA (S.-J.H., C.Y., D.L.)
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (S.-J.H., C.Y., D.L.)
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, UK (A. Richmond, L.K., T.B., E.P.-C., A.D.B., C.H., J.F.W.)
| | - Themistocles L. Assimes
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (D.Z., T.L.A.)
- Stanford Cardiovascular Institute, Stanford University, CA (D.Z., T.L.A.)
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA (J.H., C.K., A.P.R.)
| | - Ani W. Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville (X.H., A.W.M.)
| | - Agneta Siegbahn
- Department of Medical Sciences, Uppsala University, Sweden (A.S., S.G., L.W., L.L.)
| | - Lars Wallentin
- Department of Medical Sciences, Uppsala University, Sweden (A.S., S.G., L.W., L.L.)
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Sweden (A.S., S.G., L.W., L.L.)
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany (G.P., A.G., E.Z.)
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK (A.G., E.Z.)
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Germany (E.Z.)
| | - Jochen M. Schwenk
- Affinity Proteomics, Science for Life Laboratory, KTH Royal Institute of Technology, Solna, Sweden (J.M.S.)
| | - Adam S. Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK (B.P., J.E.P., A.S.B.)
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge (B.P., J.E.P., A.S.B.)
- British Heart Foundation Centre of Research Excellence, University of Cambridge, UK (A.S.B.)
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK (A.S.B.)
| | - Karl Michaëlsson
- Department of Surgical Sciences, Uppsala University, Sweden (K.M.)
| | - Yudi Pawitan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (Z.N., T.H., Y.C., Y.P., A.M., X.S.)
| | - Peter K. Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, UK (E.M.-D., N.P., Y.H., P.K.J., J.F.W., X.S.)
| | - J. Kenneth Baillie
- Roslin Institute, University of Edinburgh, Easter Bush, UK (E.P.-C., S.C., K.R., J.K.B.)
- Intensive Care Unit, Royal Infirmary of Edinburgh, UK (J.K.B.)
| | - Anders Mälarstig
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (Z.N., T.H., Y.C., Y.P., A.M., X.S.)
- Pfizer Worldwide Research, Development and Medical, Stockholm, Sweden (A.M.)
| | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA (J.H., C.K., A.P.R.)
| | - James F. Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, UK (E.M.-D., N.P., Y.H., P.K.J., J.F.W., X.S.)
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, UK (A. Richmond, L.K., T.B., E.P.-C., A.D.B., C.H., J.F.W.)
| | - Xia Shen
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China (Z.Y., J.C., R.Z., T.L., Z.N., C.Z., Y.W., X.S.)
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China (X.S.)
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, China (Z.Y., J.C., R.Z., T.L., X.S.)
- Centre for Global Health Research, Usher Institute, University of Edinburgh, UK (E.M.-D., N.P., Y.H., P.K.J., J.F.W., X.S.)
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (Z.N., T.H., Y.C., Y.P., A.M., X.S.)
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11
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Png G, Barysenka A, Repetto L, Navarro P, Shen X, Pietzner M, Wheeler E, Wareham NJ, Langenberg C, Tsafantakis E, Karaleftheri M, Dedoussis G, Mälarstig A, Wilson JF, Gilly A, Zeggini E. Mapping the serum proteome to neurological diseases using whole genome sequencing. Nat Commun 2021; 12:7042. [PMID: 34857772 PMCID: PMC8640022 DOI: 10.1038/s41467-021-27387-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 11/11/2021] [Indexed: 12/12/2022] Open
Abstract
Despite the increasing global burden of neurological disorders, there is a lack of effective diagnostic and therapeutic biomarkers. Proteins are often dysregulated in disease and have a strong genetic component. Here, we carry out a protein quantitative trait locus analysis of 184 neurologically-relevant proteins, using whole genome sequencing data from two isolated population-based cohorts (N = 2893). In doing so, we elucidate the genetic landscape of the circulating proteome and its connection to neurological disorders. We detect 214 independently-associated variants for 107 proteins, the majority of which (76%) are cis-acting, including 114 variants that have not been previously identified. Using two-sample Mendelian randomisation, we identify causal associations between serum CD33 and Alzheimer's disease, GPNMB and Parkinson's disease, and MSR1 and schizophrenia, describing their clinical potential and highlighting drug repurposing opportunities.
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Affiliation(s)
- Grace Png
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany. .,TUM School of Medicine, Technical University of Munich and Klinikum Rechts der Isar, Munich, Germany.
| | - Andrei Barysenka
- grid.4567.00000 0004 0483 2525Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Linda Repetto
- grid.4305.20000 0004 1936 7988Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Pau Navarro
- grid.4305.20000 0004 1936 7988MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Xia Shen
- grid.4305.20000 0004 1936 7988Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK ,grid.8547.e0000 0001 0125 2443Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China ,grid.4714.60000 0004 1937 0626Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Maik Pietzner
- grid.5335.00000000121885934MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Eleanor Wheeler
- grid.5335.00000000121885934MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Nicholas J. Wareham
- grid.5335.00000000121885934MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Claudia Langenberg
- grid.5335.00000000121885934MRC Epidemiology Unit, University of Cambridge, Cambridge, UK ,grid.484013.aComputational Medicine, Berlin Institute of Health (BIH), Charité University Medicine, Berlin, Germany
| | | | | | - George Dedoussis
- grid.15823.3d0000 0004 0622 2843Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Anders Mälarstig
- grid.4714.60000 0004 1937 0626Department of Medicine, Karolinska Institute, Solna, Sweden ,Emerging Science & Innovation, Pfizer Worldwide Research, Development and Medical, Cambridge, MA USA
| | - James F. Wilson
- grid.4305.20000 0004 1936 7988Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK ,grid.4305.20000 0004 1936 7988MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Arthur Gilly
- grid.4567.00000 0004 0483 2525Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany. .,TUM School of Medicine, Technical University of Munich and Klinikum Rechts der Isar, Munich, Germany.
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12
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Boer CG, Hatzikotoulas K, Southam L, Stefánsdóttir L, Zhang Y, Coutinho de Almeida R, Wu TT, Zheng J, Hartley A, Teder-Laving M, Skogholt AH, Terao C, Zengini E, Alexiadis G, Barysenka A, Bjornsdottir G, Gabrielsen ME, Gilly A, Ingvarsson T, Johnsen MB, Jonsson H, Kloppenburg M, Luetge A, Lund SH, Mägi R, Mangino M, Nelissen RR, Shivakumar M, Steinberg J, Takuwa H, Thomas LF, Tuerlings M, Babis GC, Yin Cheung JP, Kang JH, Kraft P, Lietman SA, Samartzis D, Slagboom PE, Stefansson K, Thorsteinsdottir U, Tobias JH, Uitterlinden AG, Winsvold B, Zwart JA, Smith GD, Sham PC, Thorleifsson G, Gaunt TR, Morris AP, Valdes AM, Tsezou A, Cheah KS, Ikegawa S, Hveem K, Esko T, Wilkinson JM, Meulenbelt I, Michael Lee MT, van Meurs JB, Styrkársdóttir U, Zeggini E. Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations. Cell 2021; 184:6003-6005. [PMID: 34822786 PMCID: PMC8658458 DOI: 10.1016/j.cell.2021.11.003] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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13
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Boer CG, Hatzikotoulas K, Southam L, Stefánsdóttir L, Zhang Y, Coutinho de Almeida R, Wu TT, Zheng J, Hartley A, Teder-Laving M, Skogholt AH, Terao C, Zengini E, Alexiadis G, Barysenka A, Bjornsdottir G, Gabrielsen ME, Gilly A, Ingvarsson T, Johnsen MB, Jonsson H, Kloppenburg M, Luetge A, Lund SH, Mägi R, Mangino M, Nelissen RRGHH, Shivakumar M, Steinberg J, Takuwa H, Thomas LF, Tuerlings M, Babis GC, Cheung JPY, Kang JH, Kraft P, Lietman SA, Samartzis D, Slagboom PE, Stefansson K, Thorsteinsdottir U, Tobias JH, Uitterlinden AG, Winsvold B, Zwart JA, Davey Smith G, Sham PC, Thorleifsson G, Gaunt TR, Morris AP, Valdes AM, Tsezou A, Cheah KSE, Ikegawa S, Hveem K, Esko T, Wilkinson JM, Meulenbelt I, Lee MTM, van Meurs JBJ, Styrkársdóttir U, Zeggini E. Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations. Cell 2021; 184:4784-4818.e17. [PMID: 34450027 PMCID: PMC8459317 DOI: 10.1016/j.cell.2021.07.038] [Citation(s) in RCA: 136] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 03/26/2021] [Accepted: 07/30/2021] [Indexed: 12/19/2022]
Abstract
Osteoarthritis affects over 300 million people worldwide. Here, we conduct a genome-wide association study meta-analysis across 826,690 individuals (177,517 with osteoarthritis) and identify 100 independently associated risk variants across 11 osteoarthritis phenotypes, 52 of which have not been associated with the disease before. We report thumb and spine osteoarthritis risk variants and identify differences in genetic effects between weight-bearing and non-weight-bearing joints. We identify sex-specific and early age-at-onset osteoarthritis risk loci. We integrate functional genomics data from primary patient tissues (including articular cartilage, subchondral bone, and osteophytic cartilage) and identify high-confidence effector genes. We provide evidence for genetic correlation with phenotypes related to pain, the main disease symptom, and identify likely causal genes linked to neuronal processes. Our results provide insights into key molecular players in disease processes and highlight attractive drug targets to accelerate translation.
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Affiliation(s)
- Cindy G Boer
- Department of Internal Medicine, Erasmus MC, Medical Center, 3015CN Rotterdam, the Netherlands
| | - Konstantinos Hatzikotoulas
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Lorraine Southam
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | | | - Yanfei Zhang
- Genomic Medicine Institute, Geisinger Health System, Danville, PA 17822, USA
| | - Rodrigo Coutinho de Almeida
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Postzone S05-P Leiden University Medical Center, 2333ZC Leiden, the Netherlands
| | - Tian T Wu
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Jie Zheng
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - April Hartley
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK; Musculoskeletal Research Unit, Translation Health Sciences, Bristol Medical School, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK
| | - Maris Teder-Laving
- Estonian Genome Center, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - Anne Heidi Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa 230-0045, Japan
| | - Eleni Zengini
- 4(th) Psychiatric Department, Dromokaiteio Psychiatric Hospital, 12461 Athens, Greece
| | - George Alexiadis
- 1(st) Department of Orthopaedics, KAT General Hospital, 14561 Athens, Greece
| | - Andrei Barysenka
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | | | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Thorvaldur Ingvarsson
- Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland; Department of Orthopedic Surgery, Akureyri Hospital, 600 Akureyri, Iceland
| | - Marianne B Johnsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0316 Oslo, Norway; Research and Communication Unit for Musculoskeletal Health (FORMI), Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, 0424 Oslo, Norway
| | - Helgi Jonsson
- Department of Medicine, Landspitali The National University Hospital of Iceland, 108 Reykjavik, Iceland; Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Margreet Kloppenburg
- Departments of Rheumatology and Clinical Epidemiology, Leiden University Medical Center, 9600, 23OORC Leiden, the Netherlands
| | - Almut Luetge
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | | | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, Kings College London, London SE1 7EH, UK
| | - Rob R G H H Nelissen
- Department of Orthopaedics, Leiden University Medical Center, 9600, 23OORC Leiden, the Netherlands
| | - Manu Shivakumar
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Julia Steinberg
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany; Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW 1340, Australia
| | - Hiroshi Takuwa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo 108-8639, Japan; Department of Orthopedic Surgery, Shimane University, Shimane 693-8501, Japan
| | - Laurent F Thomas
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway; BioCore-Bioinformatics Core Facility, Norwegian University of Science and Technology, 7491 Trondheim, Norway; Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
| | - Margo Tuerlings
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Postzone S05-P Leiden University Medical Center, 2333ZC Leiden, the Netherlands
| | - George C Babis
- 2(nd) Department of Orthopaedics, National and Kapodistrian University of Athens, Medical School, Nea Ionia General Hospital Konstantopouleio, 14233 Athens, Greece
| | - Jason Pui Yin Cheung
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Jae Hee Kang
- Department of Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA 02115, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Steven A Lietman
- Musculoskeletal Institute, Geisinger Health System, Danville, PA 17822, USA
| | - Dino Samartzis
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Pokfulam, Hong Kong, China; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL 60612, USA
| | - P Eline Slagboom
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Postzone S05-P Leiden University Medical Center, 2333ZC Leiden, the Netherlands
| | - Kari Stefansson
- deCODE Genetics/Amgen Inc., 102 Reykjavik, Iceland; Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen Inc., 102 Reykjavik, Iceland; Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Jonathan H Tobias
- Musculoskeletal Research Unit, Translation Health Sciences, Bristol Medical School, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK; MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, Medical Center, 3015CN Rotterdam, the Netherlands
| | - Bendik Winsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway; Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway; Department of Neurology, Oslo University Hospital, 0424 Oslo, Norway
| | - John-Anker Zwart
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway; Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Pak Chung Sham
- Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China
| | | | - Tom R Gaunt
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester M13 9LJ, UK
| | - Ana M Valdes
- Faculty of Medicine and Health Sciences, School of Medicine, University of Nottingham, Nottingham, Nottinghamshire NG5 1PB, UK
| | - Aspasia Tsezou
- Laboratory of Cytogenetics and Molecular Genetics, Faculty of Medicine, University of Thessaly, Larissa 411 10, Greece
| | - Kathryn S E Cheah
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Shiro Ikegawa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo 108-8639, Japan
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway; HUNT Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7600 Levanger, Norway
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - J Mark Wilkinson
- Department of Oncology and Metabolism and Healthy Lifespan Institute, University of Sheffield, Sheffield S10 2RX, UK
| | - Ingrid Meulenbelt
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Postzone S05-P Leiden University Medical Center, 2333ZC Leiden, the Netherlands
| | - Ming Ta Michael Lee
- Genomic Medicine Institute, Geisinger Health System, Danville, PA 17822, USA; Institute of Biomedical Sciences, Academia Sinica, 115 Taipei, Taiwan
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus MC, Medical Center, 3015CN Rotterdam, the Netherlands
| | | | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany; TUM School of Medicine, Technical University of Munich and Klinikum Rechts der Isar, 81675 Munich, Germany.
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14
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Gilly A, Southam L, Suveges D, Kuchenbaecker K, Moore R, Melloni GEM, Hatzikotoulas K, Farmaki AE, Ritchie G, Schwartzentruber J, Danecek P, Kilian B, Pollard MO, Ge X, Tsafantakis E, Dedoussis G, Zeggini E. Very low-depth whole-genome sequencing in complex trait association studies. Bioinformatics 2020; 35:2555-2561. [PMID: 30576415 PMCID: PMC6662288 DOI: 10.1093/bioinformatics/bty1032] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 11/17/2018] [Accepted: 12/17/2018] [Indexed: 12/31/2022] Open
Abstract
Motivation Very low-depth sequencing has been proposed as a cost-effective approach to capture low-frequency and rare variation in complex trait association studies. However, a full characterization of the genotype quality and association power for very low-depth sequencing designs is still lacking. Results We perform cohort-wide whole-genome sequencing (WGS) at low depth in 1239 individuals (990 at 1× depth and 249 at 4× depth) from an isolated population, and establish a robust pipeline for calling and imputing very low-depth WGS genotypes from standard bioinformatics tools. Using genotyping chip, whole-exome sequencing (75× depth) and high-depth (22×) WGS data in the same samples, we examine in detail the sensitivity of this approach, and show that imputed 1× WGS recapitulates 95.2% of variants found by imputed GWAS with an average minor allele concordance of 97% for common and low-frequency variants. In our study, 1× further allowed the discovery of 140 844 true low-frequency variants with 73% genotype concordance when compared to high-depth WGS data. Finally, using association results for 57 quantitative traits, we show that very low-depth WGS is an efficient alternative to imputed GWAS chip designs, allowing the discovery of up to twice as many true association signals than the classical imputed GWAS design. Availability and implementation The HELIC genotype and WGS datasets have been deposited to the European Genome-phenome Archive (https://www.ebi.ac.uk/ega/home): EGAD00010000518; EGAD00010000522; EGAD00010000610; EGAD00001001636, EGAD00001001637. The peakplotter software is available at https://github.com/wtsi-team144/peakplotter, the transformPhenotype app can be downloaded at https://github.com/wtsi-team144/transformPhenotype. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Arthur Gilly
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.,Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Lorraine Southam
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Daniel Suveges
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Karoline Kuchenbaecker
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Rachel Moore
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Giorgio E M Melloni
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Konstantinos Hatzikotoulas
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.,Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Aliki-Eleni Farmaki
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Graham Ritchie
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.,European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Jeremy Schwartzentruber
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Petr Danecek
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Britt Kilian
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Martin O Pollard
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Xiangyu Ge
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | | | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Eleftheria Zeggini
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.,Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
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15
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Png G, Suveges D, Park Y, Walter K, Kundu K, Ntalla I, Tsafantakis E, Karaleftheri M, Dedoussis G, Zeggini E, Gilly A. Cover Image. Genet Epidemiol 2020. [DOI: 10.1002/gepi.22219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Grace Png
- Wellcome Sanger InstituteWellcome Genome Campus Hinxton United Kingdom
- Department of Medical GeneticsUniversity of Cambridge Cambridge United Kingdom
- Institute of Translational GenomicsHelmholtz Zentrum München—German Research Center for Environmental Health Neuherberg Germany
| | - Daniel Suveges
- Wellcome Sanger InstituteWellcome Genome Campus Hinxton United Kingdom
- European Bioinformatics InstituteWellcome Genome Campus Hinxton United Kingdom
| | - Young‐Chan Park
- Wellcome Sanger InstituteWellcome Genome Campus Hinxton United Kingdom
- Department of Medical GeneticsUniversity of Cambridge Cambridge United Kingdom
| | - Klaudia Walter
- Wellcome Sanger InstituteWellcome Genome Campus Hinxton United Kingdom
| | - Kousik Kundu
- Wellcome Sanger InstituteWellcome Genome Campus Hinxton United Kingdom
| | - Ioanna Ntalla
- William Harvey Research Institute, Barts and The London School of Medicine and DentistryQueen Mary University of London London United Kingdom
| | | | | | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and EducationHarokopio University of Athens Athens Greece
| | - Eleftheria Zeggini
- Wellcome Sanger InstituteWellcome Genome Campus Hinxton United Kingdom
- Institute of Translational GenomicsHelmholtz Zentrum München—German Research Center for Environmental Health Neuherberg Germany
| | - Arthur Gilly
- Wellcome Sanger InstituteWellcome Genome Campus Hinxton United Kingdom
- Institute of Translational GenomicsHelmholtz Zentrum München—German Research Center for Environmental Health Neuherberg Germany
- Department of Public Health and Primary CareUniversity of Cambridge Cambridge United Kingdom
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16
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Farmaki AE, Rayner NW, Kafyra M, Matchan A, Ntaoutidou K, Feritoglou P, Athanasiadis A, Gilly A, Mamakou V, Zengini E, Karaleftheri M, Zeggini E, Dedoussis G. A Dietary Pattern with High Sugar Content Is Associated with Cardiometabolic Risk Factors in the Pomak Population. Nutrients 2019; 11:E3043. [PMID: 31847144 PMCID: PMC6950453 DOI: 10.3390/nu11123043] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 12/09/2019] [Accepted: 12/10/2019] [Indexed: 12/16/2022] Open
Abstract
The present study describes the geographically isolated Pomak population and its particular dietary patterns in relationship to cardiovascular risk factors. We collected a population-based cohort in a cross-sectional study, with detailed anthropometric, biochemical, clinical, and lifestyle parameter information. Dietary patterns were derived through principal component analysis based on a validated food-frequency questionnaire, administered to 1702 adult inhabitants of the Pomak villages on the Rhodope mountain range in Greece. A total of 69.9% of the participants were female with a population mean age of 44.9 years; 67% of the population were overweight or obese with a significantly different prevalence for obesity between men and women (17.5% vs. 37.5%, respectively, p < 0.001). Smoking was more prevalent in men (45.8% vs. 2.2%, p < 0.001), as 97.3% of women had never smoked. Four dietary patterns emerged as characteristic of the population, and were termed "high in sugars", "quick choices", "balanced", and "homemade". Higher adherence to the "high in sugars" dietary pattern was associated with increased glucose levels (p < 0.001) and increased risk of hypertension (OR (95% CI) 2.61 (1.55, 4.39), p < 0.001) and nominally associated with high blood glucose levels (OR (95% CI) 1.85 (1.11, 3.08), p = 0.018), compared to lower adherence. Overall, we characterize the dietary patterns of the Pomak population and describe associations with cardiovascular risk factors.
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Affiliation(s)
- Aliki-Eleni Farmaki
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece or (M.K.); (K.N.); (P.F.)
- MRC Unit for Lifelong Health & Ageing, Institute of Cardiovascular Science, University College London, London WC1E 7HB, UK
| | - Nigel W Rayner
- Institute of Translational Genomics, Helmholtz Zentrum Munchen, German Research Center for Environmental Health, D-85764 Neuherberg, Germany; (N.W.R.); (A.G.); (E.Z.)
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, Headington, Oxford OX3 7LE, UK
- Wellcome Sanger Institute, The Morgan Building, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1HH, UK
| | - Maria Kafyra
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece or (M.K.); (K.N.); (P.F.)
| | - Angela Matchan
- Genomics England, Queen Mary University of London, Dawson Hall, Charterhouse Square, London EC1M 6BQ, UK;
| | - Kyriaki Ntaoutidou
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece or (M.K.); (K.N.); (P.F.)
| | - Pournar Feritoglou
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece or (M.K.); (K.N.); (P.F.)
| | | | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum Munchen, German Research Center for Environmental Health, D-85764 Neuherberg, Germany; (N.W.R.); (A.G.); (E.Z.)
- Wellcome Sanger Institute, The Morgan Building, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1HH, UK
| | - Vasiliki Mamakou
- Dromokaiteio Psychiatric Hospital of Athens, Chaidari, Athens 12461, Greece; (V.M.); (E.Z.)
- Medical School, National and Kapodistrian University of Athens, Goudi, Athens 11527, Greece
| | - Eleni Zengini
- Dromokaiteio Psychiatric Hospital of Athens, Chaidari, Athens 12461, Greece; (V.M.); (E.Z.)
- Department of Human Metabolism, University of Sheffield, Sheffield S10 2TN, UK
| | | | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum Munchen, German Research Center for Environmental Health, D-85764 Neuherberg, Germany; (N.W.R.); (A.G.); (E.Z.)
- Wellcome Sanger Institute, The Morgan Building, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1HH, UK
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece or (M.K.); (K.N.); (P.F.)
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17
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Zheng J, Maerz W, Gergei I, Kleber M, Drechsler C, Wanner C, Brandenburg V, Reppe S, Gautvik KM, Medina-Gomez C, Shevroja E, Gilly A, Park YC, Dedoussis G, Zeggini E, Lorentzon M, Henning P, Lerner UH, Nilsson KH, Movérare-Skrtic S, Baird D, Elsworth B, Falk L, Groom A, Capellini TD, Grundberg E, Nethander M, Ohlsson C, Davey Smith G, Tobias JH. Mendelian Randomization Analysis Reveals a Causal Influence of Circulating Sclerostin Levels on Bone Mineral Density and Fractures. J Bone Miner Res 2019; 34:1824-1836. [PMID: 31170332 PMCID: PMC6899787 DOI: 10.1002/jbmr.3803] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 05/14/2019] [Accepted: 05/23/2019] [Indexed: 12/21/2022]
Abstract
In bone, sclerostin is mainly osteocyte-derived and plays an important local role in adaptive responses to mechanical loading. Whether circulating levels of sclerostin also play a functional role is currently unclear, which we aimed to examine by two-sample Mendelian randomization (MR). A genetic instrument for circulating sclerostin, derived from a genomewide association study (GWAS) meta-analysis of serum sclerostin in 10,584 European-descent individuals, was examined in relation to femoral neck bone mineral density (BMD; n = 32,744) in GEFOS and estimated bone mineral density (eBMD) by heel ultrasound (n = 426,824) and fracture risk (n = 426,795) in UK Biobank. Our GWAS identified two novel serum sclerostin loci, B4GALNT3 (standard deviation [SD]) change in sclerostin per A allele (β = 0.20, p = 4.6 × 10-49 ) and GALNT1 (β = 0.11 per G allele, p = 4.4 × 10-11 ). B4GALNT3 is an N-acetyl-galactosaminyltransferase, adding a terminal LacdiNAc disaccharide to target glycocoproteins, found to be predominantly expressed in kidney, whereas GALNT1 is an enzyme causing mucin-type O-linked glycosylation. Using these two single-nucleotide polymorphisms (SNPs) as genetic instruments, MR revealed an inverse causal relationship between serum sclerostin and femoral neck BMD (β = -0.12, 95% confidence interval [CI] -0.20 to -0.05) and eBMD (β = -0.12, 95% CI -0.14 to -0.10), and a positive relationship with fracture risk (β = 0.11, 95% CI 0.01 to 0.21). Colocalization analysis demonstrated common genetic signals within the B4GALNT3 locus for higher sclerostin, lower eBMD, and greater B4GALNT3 expression in arterial tissue (probability >99%). Our findings suggest that higher sclerostin levels are causally related to lower BMD and greater fracture risk. Hence, strategies for reducing circulating sclerostin, for example by targeting glycosylation enzymes as suggested by our GWAS results, may prove valuable in treating osteoporosis. © 2019 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals, Inc.
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Affiliation(s)
- Jie Zheng
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK
| | - Winfried Maerz
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.,SYNLAB Academy, SYNLAB Holding Deutschland GmbH, Mannheim, Germany.,Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Ingrid Gergei
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Marcus Kleber
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | - Christoph Wanner
- Department of Cardiology and Nephrology, Rhein-Maas-Klinikum Würselen, Germany
| | - Vincent Brandenburg
- Department of Cardiology and Nephrology, Rhein-Maas-Klinikum Würselen, Germany
| | - Sjur Reppe
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.,Unger-Vetlesen Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Kaare M Gautvik
- Unger-Vetlesen Institute, Lovisenberg Diaconal Hospital, Oslo, Norway.,Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Enisa Shevroja
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Arthur Gilly
- Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.,Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Young-Chan Park
- Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.,University of Cambridge, Cambridge, UK
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - Eleftheria Zeggini
- Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.,Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Mattias Lorentzon
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.,Geriatric Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.,Geriatric Medicine Clinic, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Petra Henning
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Ulf H Lerner
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Karin H Nilsson
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Sofia Movérare-Skrtic
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Denis Baird
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK
| | - Benjamin Elsworth
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK
| | - Louise Falk
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK
| | - Alix Groom
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.,Bristol Bioresource Laboratories, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Terence D Capellini
- Human Evolutionary Biology, Harvard University, Boston, MA, USA.,Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Elin Grundberg
- Department of Human Genetics, McGill University, Quebec, Canada.,Center for Pediatric Genomic Medicine, Children's Mercy, Kansas City, MO, USA
| | - Maria Nethander
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Claes Ohlsson
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK
| | - Jonathan H Tobias
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.,Musculoskeletal Research Unit, University of Bristol, Bristol, UK
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18
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Png G, Suveges D, Park YC, Walter K, Kundu K, Ntalla I, Tsafantakis E, Karaleftheri M, Dedoussis G, Zeggini E, Gilly A. Population-wide copy number variation calling using variant call format files from 6,898 individuals. Genet Epidemiol 2019; 44:79-89. [PMID: 31520489 PMCID: PMC8653900 DOI: 10.1002/gepi.22260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: 05/10/2019] [Revised: 07/31/2019] [Accepted: 08/28/2019] [Indexed: 11/10/2022]
Abstract
Copy number variants (CNVs) play an important role in a number of human diseases, but the accurate calling of CNVs remains challenging. Most current approaches to CNV detection use raw read alignments, which are computationally intensive to process. We use a regression tree-based approach to call germline CNVs from whole-genome sequencing (WGS, >18x) variant call sets in 6,898 samples across four European cohorts, and describe a rich large variation landscape comprising 1,320 CNVs. Eighty-one percent of detected events have been previously reported in the Database of Genomic Variants. Twenty-three percent of high-quality deletions affect entire genes, and we recapitulate known events such as the GSTM1 and RHD gene deletions. We test for association between the detected deletions and 275 protein levels in 1,457 individuals to assess the potential clinical impact of the detected CNVs. We describe complex CNV patterns underlying an association with levels of the CCL3 protein (MAF = 0.15, p = 3.6x10-12 ) at the CCL3L3 locus, and a novel cis-association between a low-frequency NOMO1 deletion and NOMO1 protein levels (MAF = 0.02, p = 2.2x10-7 ). This study demonstrates that existing population-wide WGS call sets can be mined for germline CNVs with minimal computational overhead, delivering insight into a less well-studied, yet potentially impactful class of genetic variant.
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Affiliation(s)
- Grace Png
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.,Department of Medical Genetics, University of Cambridge, Cambridge, United Kingdom.,Institute of Translational Genomics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Daniel Suveges
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.,European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Young-Chan Park
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.,Department of Medical Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Klaudia Walter
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Kousik Kundu
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Ioanna Ntalla
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | | | | | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Eleftheria Zeggini
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.,Institute of Translational Genomics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Arthur Gilly
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.,Institute of Translational Genomics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
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19
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Gilly A, Suveges D, Kuchenbaecker K, Pollard M, Southam L, Hatzikotoulas K, Farmaki AE, Bjornland T, Waples R, Appel EVR, Casalone E, Melloni G, Kilian B, Rayner NW, Ntalla I, Kundu K, Walter K, Danesh J, Butterworth A, Barroso I, Tsafantakis E, Dedoussis G, Moltke I, Zeggini E. Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits. Nat Commun 2018; 9:4674. [PMID: 30405126 PMCID: PMC6220258 DOI: 10.1038/s41467-018-07070-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 10/08/2018] [Indexed: 11/08/2022] Open
Abstract
The role of rare variants in complex traits remains uncharted. Here, we conduct deep whole genome sequencing of 1457 individuals from an isolated population, and test for rare variant burdens across six cardiometabolic traits. We identify a role for rare regulatory variation, which has hitherto been missed. We find evidence of rare variant burdens that are independent of established common variant signals (ADIPOQ and adiponectin, P = 4.2 × 10-8; APOC3 and triglyceride levels, P = 1.5 × 10-26), and identify replicating evidence for a burden associated with triglyceride levels in FAM189B (P = 2.2 × 10-8), indicating a role for this gene in lipid metabolism.
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Affiliation(s)
- Arthur Gilly
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
| | - Daniel Suveges
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
| | - Karoline Kuchenbaecker
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
- Division of Psychiatry, University College of London, London, W1T 7NF, United Kingdom
- UCL Genetics Institute, University College London, London, WC1E 6BT, United Kingdom
| | - Martin Pollard
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
- Department of Medicine, Addenbrooke's Hospital, University of Cambridge, Hills Road, Cambridge, CB2 0QQ, United Kingdom
| | - Lorraine Southam
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, United Kingdom
| | - Konstantinos Hatzikotoulas
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, D-85764, Germany
| | - Aliki-Eleni Farmaki
- Department of Health Sciences, College of Life Sciences, University of Leicester, Leicester, LE1 6TP, United Kingdom
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, 176-71, Greece
| | - Thea Bjornland
- Department of Mathematical Sciences, Norwegian Institute of Science and Technology, Trondheim, 7491, Norway
| | - Ryan Waples
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Emil V R Appel
- Section for Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, 2200, Denmark
| | | | - Giorgio Melloni
- Department of Biomedical Informatics, Harvard Medical School, Boston, 02115, MA, USA
| | - Britt Kilian
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
| | - Nigel W Rayner
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, United Kingdom
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Old Road, Headington, Oxford, OX3 7LE, United Kingdom
| | - Ioanna Ntalla
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, United Kingdom
| | - Kousik Kundu
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
- Department of Haematology, Cambridge Biomedical Campus, University of Cambridge, Long Road, Cambridge, CB2 0PT, United Kingdom
| | - Klaudia Walter
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
| | - John Danesh
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
- The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, University of Cambridge, Cambridge, CB1 8RN, United Kingdom
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Wort's Causeway, University of Cambridge, Strangeways Research Laboratory, Cambridge, CB1 8RN, United Kingdom
| | - Adam Butterworth
- The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, University of Cambridge, Cambridge, CB1 8RN, United Kingdom
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Wort's Causeway, University of Cambridge, Strangeways Research Laboratory, Cambridge, CB1 8RN, United Kingdom
- British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, United Kingdom
| | - Inês Barroso
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
| | | | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, 176-71, Greece
| | - Ida Moltke
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Eleftheria Zeggini
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom.
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, D-85764, Germany.
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20
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Zengini E, Hatzikotoulas K, Tachmazidou I, Steinberg J, Hartwig FP, Southam L, Hackinger S, Boer CG, Styrkarsdottir U, Gilly A, Suveges D, Killian B, Ingvarsson T, Jonsson H, Babis GC, McCaskie A, Uitterlinden AG, van Meurs JBJ, Thorsteinsdottir U, Stefansson K, Davey Smith G, Wilkinson JM, Zeggini E. Genome-wide analyses using UK Biobank data provide insights into the genetic architecture of osteoarthritis. Nat Genet 2018; 50:549-558. [PMID: 29559693 PMCID: PMC5896734 DOI: 10.1038/s41588-018-0079-y] [Citation(s) in RCA: 175] [Impact Index Per Article: 29.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 01/29/2018] [Indexed: 12/19/2022]
Abstract
Osteoarthritis is a common complex disease imposing a large public-health burden. Here, we performed a genome-wide association study for osteoarthritis, using data across 16.5 million variants from the UK Biobank resource. After performing replication and meta-analysis in up to 30,727 cases and 297,191 controls, we identified nine new osteoarthritis loci, in all of which the most likely causal variant was noncoding. For three loci, we detected association with biologically relevant radiographic endophenotypes, and in five signals we identified genes that were differentially expressed in degraded compared with intact articular cartilage from patients with osteoarthritis. We established causal effects on osteoarthritis for higher body mass index but not for triglyceride levels or genetic predisposition to type 2 diabetes.
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Affiliation(s)
- Eleni Zengini
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
- 5th Psychiatric Department, Dromokaiteio Psychiatric Hospital, Athens, Greece
| | | | - Ioanna Tachmazidou
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- GSK, R&D Target Sciences, Medicines Research Centre, Stevenage, UK
| | - Julia Steinberg
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia
| | - Fernando P Hartwig
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Lorraine Southam
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Cindy G Boer
- Departments of Internal Medicine and Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | | | - Arthur Gilly
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Daniel Suveges
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Britt Killian
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Thorvaldur Ingvarsson
- Department of Orthopaedic Surgery, Akureyri Hospital, Akureyri, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Institution of Health Science, University of Akureyri, Akureyri, Iceland
| | - Helgi Jonsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Department of Medicine, Landspitali, National University Hospital of Iceland, Reykjavik, Iceland
| | - George C Babis
- 2nd Department of Orthopaedic Surgery, Konstantopouleio General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Andrew McCaskie
- Division of Trauma & Orthopaedic Surgery, Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Andre G Uitterlinden
- Departments of Internal Medicine and Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Joyce B J van Meurs
- Departments of Internal Medicine and Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, University of Bristol, Bristol, UK
- National Institute for Health Research, Bristol Biomedical Research Centre, University Hospitals Bristol, NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Jeremy M Wilkinson
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
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21
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Grarup N, Moltke I, Andersen MK, Dalby M, Vitting-Seerup K, Kern T, Mahendran Y, Jørsboe E, Larsen CVL, Dahl-Petersen IK, Gilly A, Suveges D, Dedoussis G, Zeggini E, Pedersen O, Andersson R, Bjerregaard P, Jørgensen ME, Albrechtsen A, Hansen T. Loss-of-function variants in ADCY3 increase risk of obesity and type 2 diabetes. Nat Genet 2018; 50:172-174. [PMID: 29311636 PMCID: PMC5828106 DOI: 10.1038/s41588-017-0022-7] [Citation(s) in RCA: 106] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 11/29/2017] [Indexed: 01/08/2023]
Abstract
We have identified a variant in ADCY3 (encoding adenylate cyclase 3) associated with markedly increased risk of obesity and type 2 diabetes in the Greenlandic population. The variant disrupts a splice acceptor site, and carriers have decreased ADCY3 RNA expression. Additionally, we observe an enrichment of rare ADCY3 loss-of-function variants among individuals with type 2 diabetes in trans-ancestry cohorts. These findings provide new information on disease etiology relevant for future treatment strategies.
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Affiliation(s)
- Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ida Moltke
- Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maria Dalby
- Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Kristoffer Vitting-Seerup
- Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark
| | - Timo Kern
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yuvaraj Mahendran
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emil Jørsboe
- Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Christina V L Larsen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
- Greenland Centre for Health Research, University of Greenland, Nuuk, Greenland
| | - Inger K Dahl-Petersen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Arthur Gilly
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Daniel Suveges
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - George Dedoussis
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - Eleftheria Zeggini
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Robin Andersson
- Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Peter Bjerregaard
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
- Greenland Centre for Health Research, University of Greenland, Nuuk, Greenland
| | - Marit E Jørgensen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
- Greenland Centre for Health Research, University of Greenland, Nuuk, Greenland.
- Steno Diabetes Center Copenhagen, Gentofte, Denmark.
| | - Anders Albrechtsen
- Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
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22
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Hackinger S, Trajanoska K, Styrkarsdottir U, Zengini E, Steinberg J, Ritchie GRS, Hatzikotoulas K, Gilly A, Evangelou E, Kemp JP, Evans D, Ingvarsson T, Jonsson H, Thorsteinsdottir U, Stefansson K, McCaskie AW, Brooks RA, Wilkinson JM, Rivadeneira F, Zeggini E. Evaluation of shared genetic aetiology between osteoarthritis and bone mineral density identifies SMAD3 as a novel osteoarthritis risk locus. Hum Mol Genet 2018; 26:3850-3858. [PMID: 28934396 PMCID: PMC5886098 DOI: 10.1093/hmg/ddx285] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 07/15/2017] [Indexed: 01/20/2023] Open
Abstract
Osteoarthritis (OA) is a common complex disease with high public health burden and no curative therapy. High bone mineral density (BMD) is associated with an increased risk of developing OA, suggesting a shared underlying biology. Here, we performed the first systematic overlap analysis of OA and BMD on a genome wide scale. We used summary statistics from the GEFOS consortium for lumbar spine (n = 31,800) and femoral neck (n = 32,961) BMD, and from the arcOGEN consortium for three OA phenotypes (hip, ncases=3,498; knee, ncases=3,266; hip and/or knee, ncases=7,410; ncontrols=11,009). Performing LD score regression we found a significant genetic correlation between the combined OA phenotype (hip and/or knee) and lumbar spine BMD (rg=0.18, P = 2.23 × 10−2), which may be driven by the presence of spinal osteophytes. We identified 143 variants with evidence for cross-phenotype association which we took forward for replication in independent large-scale OA datasets, and subsequent meta-analysis with arcOGEN for a total sample size of up to 23,425 cases and 236,814 controls. We found robustly replicating evidence for association with OA at rs12901071 (OR 1.08 95% CI 1.05–1.11, Pmeta=3.12 × 10−10), an intronic variant in the SMAD3 gene, which is known to play a role in bone remodeling and cartilage maintenance. We were able to confirm expression of SMAD3 in intact and degraded cartilage of the knee and hip. Our findings provide the first systematic evaluation of pleiotropy between OA and BMD, highlight genes with biological relevance to both traits, and establish a robust new OA genetic risk locus at SMAD3.
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Affiliation(s)
- Sophie Hackinger
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK
| | - Katerina Trajanoska
- Departments of Internal Medicine and Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, The Netherlands
| | | | - Eleni Zengini
- Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, UK.,5th Department, Dromokaiteio Psychiatric Hospital, Athens 124 61, Greece
| | - Julia Steinberg
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK
| | | | | | - Arthur Gilly
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK
| | - Evangelos Evangelou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina 45110, Greece.,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - John P Kemp
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD, Australia
| | | | - David Evans
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD, Australia
| | - Thorvaldur Ingvarsson
- Department of Orthopedic Surgery, Akureyri Hospital, 600 Akureyri, Iceland.,Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland.,Institution of Health Science, University of Akureyri, 600 Akureyri, Iceland
| | - Helgi Jonsson
- Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland.,Department of Medicine, Landspitali, The National University Hospital of Iceland, 101 Reykjavik, Iceland
| | - Unnur Thorsteinsdottir
- deCODE Genetics, Sturlugata 8, IS-101 Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Kari Stefansson
- deCODE Genetics, Sturlugata 8, IS-101 Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Andrew W McCaskie
- Division of Trauma & Orthopaedic Surgery, University of Cambridge, Box 180, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Roger A Brooks
- Division of Trauma & Orthopaedic Surgery, University of Cambridge, Box 180, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Jeremy M Wilkinson
- Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, UK
| | - Fernando Rivadeneira
- Departments of Internal Medicine and Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, The Netherlands
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23
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Southam L, Gilly A, Süveges D, Farmaki AE, Schwartzentruber J, Tachmazidou I, Matchan A, Rayner NW, Tsafantakis E, Karaleftheri M, Xue Y, Dedoussis G, Zeggini E. Whole genome sequencing and imputation in isolated populations identify genetic associations with medically-relevant complex traits. Nat Commun 2017; 8:15606. [PMID: 28548082 PMCID: PMC5458552 DOI: 10.1038/ncomms15606] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [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: 08/01/2016] [Accepted: 03/28/2017] [Indexed: 01/26/2023] Open
Abstract
Next-generation association studies can be empowered by sequence-based imputation and by studying founder populations. Here we report ∼9.5 million variants from whole-genome sequencing (WGS) of a Cretan-isolated population, and show enrichment of rare and low-frequency variants with predicted functional consequences. We use a WGS-based imputation approach utilizing 10,422 reference haplotypes to perform genome-wide association analyses and observe 17 genome-wide significant, independent signals, including replicating evidence for association at eight novel low-frequency variant signals. Two novel cardiometabolic associations are at lead variants unique to the founder population sequences: chr16:70790626 (high-density lipoprotein levels beta −1.71 (SE 0.25), P=1.57 × 10−11, effect allele frequency (EAF) 0.006); and rs145556679 (triglycerides levels beta −1.13 (SE 0.17), P=2.53 × 10−11, EAF 0.013). Our findings add empirical support to the contribution of low-frequency variants in complex traits, demonstrate the advantage of including population-specific sequences in imputation panels and exemplify the power gains afforded by population isolates. Isolated populations can provide useful information on low-frequency variants for dissecting genetic architecture of complex traits. Here, Zeggini and colleagues show enrichment of rare and low-frequency variants and 8 novel low-frequency variant signals for cardiometabolic traits in two Greek isolated populations
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Affiliation(s)
- Lorraine Southam
- Wellcome Trust Sanger Institute, Human Genetics, Hinxton CB10 1SA, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Arthur Gilly
- Wellcome Trust Sanger Institute, Human Genetics, Hinxton CB10 1SA, UK
| | - Dániel Süveges
- Wellcome Trust Sanger Institute, Human Genetics, Hinxton CB10 1SA, UK
| | - Aliki-Eleni Farmaki
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece
| | | | | | - Angela Matchan
- Wellcome Trust Sanger Institute, Human Genetics, Hinxton CB10 1SA, UK
| | - Nigel W Rayner
- Wellcome Trust Sanger Institute, Human Genetics, Hinxton CB10 1SA, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.,Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford OX3 7LE, UK
| | | | | | - Yali Xue
- Wellcome Trust Sanger Institute, Human Genetics, Hinxton CB10 1SA, UK
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece
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24
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McCarthy S, Das S, Kretzschmar W, Delaneau O, Wood AR, Teumer A, Kang HM, Fuchsberger C, Danecek P, Sharp K, Luo Y, Sidore C, Kwong A, Timpson N, Koskinen S, Vrieze S, Scott LJ, Zhang H, Mahajan A, Veldink J, Peters U, Pato C, van Duijn CM, Gillies CE, Gandin I, Mezzavilla M, Gilly A, Cocca M, Traglia M, Angius A, Barrett JC, Boomsma D, Branham K, Breen G, Brummett CM, Busonero F, Campbell H, Chan A, Chen S, Chew E, Collins FS, Corbin LJ, Smith GD, Dedoussis G, Dorr M, Farmaki AE, Ferrucci L, Forer L, Fraser RM, Gabriel S, Levy S, Groop L, Harrison T, Hattersley A, Holmen OL, Hveem K, Kretzler M, Lee JC, McGue M, Meitinger T, Melzer D, Min JL, Mohlke KL, Vincent JB, Nauck M, Nickerson D, Palotie A, Pato M, Pirastu N, McInnis M, Richards JB, Sala C, Salomaa V, Schlessinger D, Schoenherr S, Slagboom PE, Small K, Spector T, Stambolian D, Tuke M, Tuomilehto J, Van den Berg LH, Van Rheenen W, Volker U, Wijmenga C, Toniolo D, Zeggini E, Gasparini P, Sampson MG, Wilson JF, Frayling T, de Bakker PIW, Swertz MA, McCarroll S, Kooperberg C, Dekker A, Altshuler D, Willer C, Iacono W, Ripatti S, Soranzo N, Walter K, Swaroop A, Cucca F, Anderson CA, Myers RM, Boehnke M, McCarthy MI, Durbin R. A reference panel of 64,976 haplotypes for genotype imputation. Nat Genet 2016; 48:1279-83. [PMID: 27548312 PMCID: PMC5388176 DOI: 10.1038/ng.3643] [Citation(s) in RCA: 1749] [Impact Index Per Article: 218.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 07/18/2016] [Indexed: 12/13/2022]
Abstract
We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies, and it can help to discover and refine causal loci. We describe remote server resources that allow researchers to carry out imputation and phasing consistently and efficiently.
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Affiliation(s)
- Shane McCarthy
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Sayantan Das
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.,Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Warren Kretzschmar
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Olivier Delaneau
- Genetics and Development, University of Geneva, Geneva, Switzerland
| | - Andrew R Wood
- Genetics of Complex Traits, Institute of Biomedical Science, University of Exeter Medical School, Exeter, UK
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.,DZHK (German Centre for Cardiovascular Research), Greifswald, Germany
| | - Hyun Min Kang
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.,Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Christian Fuchsberger
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.,Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Petr Danecek
- Vertebrate Resequencing Informatics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Kevin Sharp
- Department of Statistics, University of Oxford, Oxford, UK
| | - Yang Luo
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | | | - Alan Kwong
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.,Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicholas Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield Grove, UK
| | | | - Scott Vrieze
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA.,Department of Psychology and Neurosurgery, University of Colorado, Boulder, Colorado, USA
| | - Laura J Scott
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.,Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - He Zhang
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Jan Veldink
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, Utrecht, the Netherlands
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.,Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA
| | - Carlos Pato
- Department of Psychiatry, SUNY Downstate, Brooklyn, New York, USA
| | - Cornelia M van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Christopher E Gillies
- Department of Pediatrics-Nephrology, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Ilaria Gandin
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Massimo Mezzavilla
- Genetica Medica, IRCCS Burlo Garofolo, Trieste, Italy.,Department of Experimental Genetics, Sidra, Doha, Qatar
| | - Arthur Gilly
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Massimiliano Cocca
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Michela Traglia
- Genetics and Cell Biology, San Raffaele Research Institute, Milan, Italy
| | | | | | - Dorrett Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Kari Branham
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA
| | - Gerome Breen
- MRC Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,NIHR Biomedical Research Centre for Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London and the South London Maudsley Hospital, London, UK
| | - Chad M Brummett
- Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Harry Campbell
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Andrew Chan
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.,Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Sai Chen
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.,Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA.,Department of Computational Medicine, University of Michigan, Ann Arbor, Michigan, USA.,Department of Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Emily Chew
- Division of Epidemiology and Clinical Applications, National Eye Institute, Bethesda, Maryland, USA
| | - Francis S Collins
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - Laura J Corbin
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield Grove, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield Grove, UK
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - Marcus Dorr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.,Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Aliki-Eleni Farmaki
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - Luigi Ferrucci
- Longitudinal Studies Section, Clinical Research Branch, Gerontology Research Center, National Institute on Aging, Baltimore, Maryland, USA
| | - Lukas Forer
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ross M Fraser
- Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Stacey Gabriel
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Shawn Levy
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA
| | - Leif Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, University of Lund, Malmö, Sweden.,Finnish Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland.,Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Tabitha Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Andrew Hattersley
- Institute of Biomedical and Clinical Research, University of Exeter Medical School, Exeter, UK
| | - Oddgeir L Holmen
- Hunt Research Centre, Department of Public Health and General Practice, Norwegian University of Science and Technology, Levanger, Norway
| | - Kristian Hveem
- Hunt Research Centre, Department of Public Health and General Practice, Norwegian University of Science and Technology, Levanger, Norway
| | - Matthias Kretzler
- Department of Computational Medicine, University of Michigan, Ann Arbor, Michigan, USA.,Department of Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.,Department of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - James C Lee
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK.,Department of Medicine, University of Cambridge School of Clinical Medicine, Addenbrooke's Hospital, Cambridge, UK
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Human Genetics, Technische Universität München, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - David Melzer
- Epidemiology and Public Health, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Josine L Min
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield Grove, UK
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - John B Vincent
- Molecular Neuropsychiatry and Development Laboratory, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Matthias Nauck
- DZHK (German Centre for Cardiovascular Research), Greifswald, Germany.,Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Deborah Nickerson
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Aarno Palotie
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Institute for Molecular Medicine, FIMM, Helsinki, Finland.,Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Michele Pato
- Department of Psychiatry, SUNY Downstate, Brooklyn, New York, USA
| | - Nicola Pirastu
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - J Brent Richards
- Department of Medicine, McGill University, Montreal, Quebec, Canada.,Department of Human Genetics, McGill University, Montreal, Quebec, Canada.,Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Cinzia Sala
- Genetics and Cell Biology, San Raffaele Research Institute, Milan, Italy
| | | | - David Schlessinger
- National Institute on Aging, US National Institutes of Health, Baltimore, Maryland, USA
| | - Sebastian Schoenherr
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - P Eline Slagboom
- Molecular Epidemiology Section, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, the Netherlands
| | - Kerrin Small
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Timothy Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Dwight Stambolian
- Department of Ophthalmology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Marcus Tuke
- Genetics of Complex Traits, Institute of Biomedical Science, University of Exeter Medical School, Exeter, UK
| | - Jaakko Tuomilehto
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland.,Dasman Diabetes Institute, Dasman, Kuwait.,Center for Vascular Prevention, Danube University Krems, Krems, Austria.,Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Leonard H Van den Berg
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, Utrecht, the Netherlands
| | - Wouter Van Rheenen
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, Utrecht, the Netherlands
| | - Uwe Volker
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.,Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Cisca Wijmenga
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Daniela Toniolo
- Genetics and Cell Biology, San Raffaele Research Institute, Milan, Italy
| | | | - Paolo Gasparini
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy.,Department of Experimental Genetics, Sidra, Doha, Qatar
| | - Matthew G Sampson
- Department of Pediatrics-Nephrology, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - James F Wilson
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.,MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Timothy Frayling
- Genetics of Complex Traits, Institute of Biomedical Science, University of Exeter Medical School, Exeter, UK
| | - Paul I W de Bakker
- Medical Genetics, University Medical Center Utrecht, Utrecht, the Netherlands.,Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Morris A Swertz
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, the Netherlands
| | - Steven McCarroll
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA.,Department of Molecular Biology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Annelot Dekker
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, Utrecht, the Netherlands
| | - David Altshuler
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Diabetes Research Center (Diabetes Unit), Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.,Vertex Pharmaceuticals, Boston, Massachusetts, USA
| | - Cristen Willer
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.,Department of Computational Medicine, University of Michigan, Ann Arbor, Michigan, USA.,Department of Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - William Iacono
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Samuli Ripatti
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Nicole Soranzo
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK.,Department of Haematology, University of Cambridge, Cambridge, UK.,NIHR Blood and Transplant Unit (BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, UK
| | - Klaudia Walter
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Anand Swaroop
- Neurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | | | - Carl A Anderson
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA
| | - Michael Boehnke
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.,Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.,Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.,Oxford NIHR Biomedical Research Centre, Churchill Hospital, Headington, Oxford, UK
| | - Richard Durbin
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
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25
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Gilly A, Ritchie GR, Southam L, Farmaki AE, Tsafantakis E, Dedoussis G, Zeggini E. Very low-depth sequencing in a founder population identifies a cardioprotective APOC3 signal missed by genome-wide imputation. Hum Mol Genet 2016; 25:2360-2365. [PMID: 27146844 PMCID: PMC5081052 DOI: 10.1093/hmg/ddw088] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [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: 12/23/2015] [Accepted: 03/14/2016] [Indexed: 11/13/2022] Open
Abstract
Cohort-wide very low-depth whole-genome sequencing (WGS) can comprehensively capture low-frequency sequence variation for the cost of a dense genome-wide genotyping array. Here, we analyse 1x sequence data across the APOC3 gene in a founder population from the island of Crete in Greece (n = 1239) and find significant evidence for association with blood triglyceride levels with the previously reported R19X cardioprotective null mutation (β = -1.09,σ = 0.163, P = 8.2 × 10-11) and a second loss of function mutation, rs138326449 (β = -1.17,σ = 0.188, P = 1.14 × 10-9). The signal cannot be recapitulated by imputing genome-wide genotype data on a large reference panel of 5122 individuals including 249 with 4x WGS data from the same population. Gene-level meta-analysis with other studies reporting burden signals at APOC3 provides robust evidence for a replicable cardioprotective rare variant aggregation (P = 3.2 × 10-31, n = 13 480).
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Affiliation(s)
- Arthur Gilly
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - Graham Rs Ritchie
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Lorraine Southam
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK Wellcome Trust Centre for Human Genetics, Oxford OX3 7BN, UK
| | - Aliki-Eleni Farmaki
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece
| | | | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece
| | - Eleftheria Zeggini
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
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26
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Gilly A, Etcheverry M, Madoui MA, Guy J, Quadrana L, Alberti A, Martin A, Heitkam T, Engelen S, Labadie K, Le Pen J, Wincker P, Colot V, Aury JM. TE-Tracker: systematic identification of transposition events through whole-genome resequencing. BMC Bioinformatics 2014; 15:377. [PMID: 25408240 PMCID: PMC4279814 DOI: 10.1186/s12859-014-0377-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Accepted: 11/05/2014] [Indexed: 11/10/2022] Open
Abstract
Background Transposable elements (TEs) are DNA sequences that are able to move from their location in the genome by cutting or copying themselves to another locus. As such, they are increasingly recognized as impacting all aspects of genome function. With the dramatic reduction in cost of DNA sequencing, it is now possible to resequence whole genomes in order to systematically characterize novel TE mobilization in a particular individual. However, this task is made difficult by the inherently repetitive nature of TE sequences, which in some eukaryotes compose over half of the genome sequence. Currently, only a few software tools dedicated to the detection of TE mobilization using next-generation-sequencing are described in the literature. They often target specific TEs for which annotation is available, and are only able to identify families of closely related TEs, rather than individual elements. Results We present TE-Tracker, a general and accurate computational method for the de-novo detection of germ line TE mobilization from re-sequenced genomes, as well as the identification of both their source and destination sequences. We compare our method with the two classes of existing software: specialized TE-detection tools and generic structural variant (SV) detection tools. We show that TE-Tracker, while working independently of any prior annotation, bridges the gap between these two approaches in terms of detection power. Indeed, its positive predictive value (PPV) is comparable to that of dedicated TE software while its sensitivity is typical of a generic SV detection tool. TE-Tracker demonstrates the benefit of adopting an annotation-independent, de novo approach for the detection of TE mobilization events. We use TE-Tracker to provide a comprehensive view of transposition events induced by loss of DNA methylation in Arabidopsis. TE-Tracker is freely available at http://www.genoscope.cns.fr/TE-Tracker. Conclusions We show that TE-Tracker accurately detects both the source and destination of novel transposition events in re-sequenced genomes. Moreover, TE-Tracker is able to detect all potential donor sequences for a given insertion, and can identify the correct one among them. Furthermore, TE-Tracker produces significantly fewer false positives than common SV detection programs, thus greatly facilitating the detection and analysis of TE mobilization events. Electronic supplementary material The online version of this article (doi:10.1186/s12859-014-0377-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Arthur Gilly
- Commissariat a l'Energie Atomique (CEA), Institut de Genomique (IG), Genoscope, 2 rue Gaston Crémieux, BP5706, 91057, Evry, France. .,Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France. .,Universite d'Evry, UMR 8030, CP5706, Evry, France. .,Current address: The Wellcome Trust Sanger Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
| | - Mathilde Etcheverry
- Institut de Biologie de l'Ecole Normale Supérieure, F-75230, Paris, Cedex 05, France. .,Centre National de la Recherche Scientifique (CNRS), UMR 8197, F-75230, Paris, Cedex 05, France. .,Institut national de la santé et de la recherche médicale (INSERM), U1024, F-75230, Paris, Cedex 05, France.
| | - Mohammed-Amin Madoui
- Commissariat a l'Energie Atomique (CEA), Institut de Genomique (IG), Genoscope, 2 rue Gaston Crémieux, BP5706, 91057, Evry, France. .,Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France. .,Universite d'Evry, UMR 8030, CP5706, Evry, France.
| | - Julie Guy
- Commissariat a l'Energie Atomique (CEA), Institut de Genomique (IG), Genoscope, 2 rue Gaston Crémieux, BP5706, 91057, Evry, France. .,Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France. .,Universite d'Evry, UMR 8030, CP5706, Evry, France.
| | - Leandro Quadrana
- Institut de Biologie de l'Ecole Normale Supérieure, F-75230, Paris, Cedex 05, France. .,Centre National de la Recherche Scientifique (CNRS), UMR 8197, F-75230, Paris, Cedex 05, France. .,Institut national de la santé et de la recherche médicale (INSERM), U1024, F-75230, Paris, Cedex 05, France.
| | - Adriana Alberti
- Commissariat a l'Energie Atomique (CEA), Institut de Genomique (IG), Genoscope, 2 rue Gaston Crémieux, BP5706, 91057, Evry, France. .,Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France. .,Universite d'Evry, UMR 8030, CP5706, Evry, France.
| | - Antoine Martin
- Institut de Biologie de l'Ecole Normale Supérieure, F-75230, Paris, Cedex 05, France. .,Centre National de la Recherche Scientifique (CNRS), UMR 8197, F-75230, Paris, Cedex 05, France. .,Institut national de la santé et de la recherche médicale (INSERM), U1024, F-75230, Paris, Cedex 05, France. .,Current address: Technische Universität Dresden, Institute of Bota, ny, Plant Cell and Molecular Biology, D-01062, Dresden, Germany.
| | - Tony Heitkam
- Institut de Biologie de l'Ecole Normale Supérieure, F-75230, Paris, Cedex 05, France. .,Centre National de la Recherche Scientifique (CNRS), UMR 8197, F-75230, Paris, Cedex 05, France. .,Institut national de la santé et de la recherche médicale (INSERM), U1024, F-75230, Paris, Cedex 05, France. .,Current address: Laboratoire de Biochimie et Physiologie Moléculaire des Plantes, Institut de Biologie Intégrative des Plantes 'Claude Grignon', UMR CNRS/INRA/SupAgro/UM2, Place Viala, 34060, Montpellier, Cedex, France.
| | - Stefan Engelen
- Commissariat a l'Energie Atomique (CEA), Institut de Genomique (IG), Genoscope, 2 rue Gaston Crémieux, BP5706, 91057, Evry, France. .,Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France. .,Universite d'Evry, UMR 8030, CP5706, Evry, France.
| | - Karine Labadie
- Commissariat a l'Energie Atomique (CEA), Institut de Genomique (IG), Genoscope, 2 rue Gaston Crémieux, BP5706, 91057, Evry, France. .,Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France. .,Universite d'Evry, UMR 8030, CP5706, Evry, France.
| | - Jeremie Le Pen
- Institut de Biologie de l'Ecole Normale Supérieure, F-75230, Paris, Cedex 05, France. .,Centre National de la Recherche Scientifique (CNRS), UMR 8197, F-75230, Paris, Cedex 05, France. .,Institut national de la santé et de la recherche médicale (INSERM), U1024, F-75230, Paris, Cedex 05, France. .,Current address: Gurdon Institute and Department of Biochemistry, University of Cambridge, The Henry Wellcome Building of Cancer and Developmental Biology, Tennis Court Rd, Cambridge, CB2 1QN, UK.
| | - Patrick Wincker
- Commissariat a l'Energie Atomique (CEA), Institut de Genomique (IG), Genoscope, 2 rue Gaston Crémieux, BP5706, 91057, Evry, France. .,Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France. .,Universite d'Evry, UMR 8030, CP5706, Evry, France.
| | - Vincent Colot
- Institut de Biologie de l'Ecole Normale Supérieure, F-75230, Paris, Cedex 05, France. .,Centre National de la Recherche Scientifique (CNRS), UMR 8197, F-75230, Paris, Cedex 05, France. .,Institut national de la santé et de la recherche médicale (INSERM), U1024, F-75230, Paris, Cedex 05, France.
| | - Jean-Marc Aury
- Commissariat a l'Energie Atomique (CEA), Institut de Genomique (IG), Genoscope, 2 rue Gaston Crémieux, BP5706, 91057, Evry, France. .,Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France. .,Universite d'Evry, UMR 8030, CP5706, Evry, France.
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27
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Panoutsopoulou K, Hatzikotoulas K, Xifara DK, Colonna V, Farmaki AE, Ritchie GRS, Southam L, Gilly A, Tachmazidou I, Fatumo S, Matchan A, Rayner NW, Ntalla I, Mezzavilla M, Chen Y, Kiagiadaki C, Zengini E, Mamakou V, Athanasiadis A, Giannakopoulou M, Kariakli VE, Nsubuga RN, Karabarinde A, Sandhu M, McVean G, Tyler-Smith C, Tsafantakis E, Karaleftheri M, Xue Y, Dedoussis G, Zeggini E. Genetic characterization of Greek population isolates reveals strong genetic drift at missense and trait-associated variants. Nat Commun 2014; 5:5345. [PMID: 25373335 PMCID: PMC4242463 DOI: 10.1038/ncomms6345] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2014] [Accepted: 09/22/2014] [Indexed: 11/09/2022] Open
Abstract
Isolated populations are emerging as a powerful study design in the search for low-frequency and rare variant associations with complex phenotypes. Here we genotype 2,296 samples from two isolated Greek populations, the Pomak villages (HELIC-Pomak) in the North of Greece and the Mylopotamos villages (HELIC-MANOLIS) in Crete. We compare their genomic characteristics to the general Greek population and establish them as genetic isolates. In the MANOLIS cohort, we observe an enrichment of missense variants among the variants that have drifted up in frequency by more than fivefold. In the Pomak cohort, we find novel associations at variants on chr11p15.4 showing large allele frequency increases (from 0.2% in the general Greek population to 4.6% in the isolate) with haematological traits, for example, with mean corpuscular volume (rs7116019, P=2.3 × 10(-26)). We replicate this association in a second set of Pomak samples (combined P=2.0 × 10(-36)). We demonstrate significant power gains in detecting medical trait associations.
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Affiliation(s)
| | | | - Dionysia Kiara Xifara
- 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK [2] Department of Statistics, University of Oxford, Oxford OX1 3TG, UK
| | - Vincenza Colonna
- Institute of Genetics and Biophysics 'A. Buzzati-Traverso', National Research Council (CNR), Naples 80131, Italy
| | - Aliki-Eleni Farmaki
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens 17671, Greece
| | - Graham R S Ritchie
- 1] Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK [2] European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, UK
| | - Lorraine Southam
- 1] Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK [2] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Arthur Gilly
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK
| | - Ioanna Tachmazidou
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK
| | - Segun Fatumo
- 1] Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK [2] H3Africa Bioinformatics Network (H3ABioNet) Node, National Biotechnology Development Agency (NABDA), Federal Ministry of Science and Technology (FMST), Abuja 900107, Nigeria [3] International Health Research Group, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8NR, UK
| | - Angela Matchan
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK
| | - Nigel W Rayner
- 1] Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK [2] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK [3] Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford OX3 7LJ, UK
| | - Ioanna Ntalla
- 1] Department of Nutrition and Dietetics, Harokopio University of Athens, Athens 17671, Greece [2] Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
| | - Massimo Mezzavilla
- 1] Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK [2] Division of Medical Genetics, Department of Reproductive Sciences and Development, IRCCS-Burlo Garofolo, University of Trieste, Trieste 34137, Italy
| | - Yuan Chen
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK
| | | | - Eleni Zengini
- 1] Dromokaiteio Psychiatric Hospital of Athens, Chaidari, Athens 12461, Greece [2] Department of Human Metabolism, University of Sheffield, Sheffield S10 2TN, UK
| | - Vasiliki Mamakou
- 1] Dromokaiteio Psychiatric Hospital of Athens, Chaidari, Athens 12461, Greece [2] School of Medicine, National and Kapodistrian University of Athens, Goudi, Athens 11527, Greece
| | | | - Margarita Giannakopoulou
- School of Health Sciences, Faculty of Nursing, National and Kapodistrian University of Athens, Goudi, Athens 11527, Greece
| | | | - Rebecca N Nsubuga
- Medical Research Council/Uganda Virus Research Institute, Uganda Research Unit on AIDS, PO Box 49, Entebbe, Uganda
| | - Alex Karabarinde
- Medical Research Council/Uganda Virus Research Institute, Uganda Research Unit on AIDS, PO Box 49, Entebbe, Uganda
| | - Manjinder Sandhu
- 1] Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK [2] International Health Research Group, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8NR, UK
| | - Gil McVean
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Chris Tyler-Smith
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK
| | | | | | - Yali Xue
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK
| | - George Dedoussis
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens 17671, Greece
| | - Eleftheria Zeggini
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK
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28
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Abstract
The use of genetically isolated populations can empower next-generation association studies. In this review, we discuss the advantages of this approach and review study design and analytical considerations of genetic association studies focusing on isolates. We cite successful examples of using population isolates in association studies and outline potential ways forward.
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29
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Cortijo S, Wardenaar R, Colome-Tatche M, Gilly A, Etcheverry M, Labadie K, Caillieux E, Hospital F, Aury JM, Wincker P, Roudier F, Jansen RC, Colot V, Johannes F. Mapping the Epigenetic Basis of Complex Traits. Science 2014; 343:1145-8. [DOI: 10.1126/science.1248127] [Citation(s) in RCA: 349] [Impact Index Per Article: 34.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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30
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Makyao N, Kangolle A, Gilly A, Somi G, Kazaura M, Kim E, Kibona M, Kamazima S. O1-S08.01 High HIV prevalence within a generalised epidemic; condom use, violence, and sexually transmitted infections among female sex workers in Dar es Salaam, Tanzania. Sex Transm Infect 2011. [DOI: 10.1136/sextrans-2011-050109.43] [Citation(s) in RCA: 3] [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: 11/03/2022] Open
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