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Mocci G, Sukhavasi K, Örd T, Bankier S, Singha P, Arasu UT, Agbabiaje OO, Mäkinen P, Ma L, Hodonsky CJ, Aherrahrou R, Muhl L, Liu J, Gustafsson S, Byandelger B, Wang Y, Koplev S, Lendahl U, Owens GK, Leeper NJ, Pasterkamp G, Vanlandewijck M, Michoel T, Ruusalepp A, Hao K, Ylä-Herttuala S, Väli M, Järve H, Mokry M, Civelek M, Miller CJ, Kovacic JC, Kaikkonen MU, Betsholtz C, Björkegren JL. Single-Cell Gene-Regulatory Networks of Advanced Symptomatic Atherosclerosis. Circ Res 2024; 134:1405-1423. [PMID: 38639096 PMCID: PMC11122742 DOI: 10.1161/circresaha.123.323184] [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: 06/04/2023] [Revised: 04/01/2024] [Accepted: 04/04/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND While our understanding of the single-cell gene expression patterns underlying the transformation of vascular cell types during the progression of atherosclerosis is rapidly improving, the clinical and pathophysiological relevance of these changes remains poorly understood. METHODS Single-cell RNA sequencing data generated with SmartSeq2 (≈8000 genes/cell) in 16 588 single cells isolated during atherosclerosis progression in Ldlr-/-Apob100/100 mice with human-like plasma lipoproteins and from humans with asymptomatic and symptomatic carotid plaques was clustered into multiple subtypes. For clinical and pathophysiological context, the advanced-stage and symptomatic subtype clusters were integrated with 135 tissue-specific (atherosclerotic aortic wall, mammary artery, liver, skeletal muscle, and visceral and subcutaneous, fat) gene-regulatory networks (GRNs) inferred from 600 coronary artery disease patients in the STARNET (Stockholm-Tartu Atherosclerosis Reverse Network Engineering Task) study. RESULTS Advanced stages of atherosclerosis progression and symptomatic carotid plaques were largely characterized by 3 smooth muscle cells (SMCs), and 3 macrophage subtype clusters with extracellular matrix organization/osteogenic (SMC), and M1-type proinflammatory/Trem2-high lipid-associated (macrophage) phenotypes. Integrative analysis of these 6 clusters with STARNET revealed significant enrichments of 3 arterial wall GRNs: GRN33 (macrophage), GRN39 (SMC), and GRN122 (macrophage) with major contributions to coronary artery disease heritability and strong associations with clinical scores of coronary atherosclerosis severity. The presence and pathophysiological relevance of GRN39 were verified in 5 independent RNAseq data sets obtained from the human coronary and aortic artery, and primary SMCs and by targeting its top-key drivers, FRZB and ALCAM in cultured human coronary artery SMCs. CONCLUSIONS By identifying and integrating the most gene-rich single-cell subclusters of atherosclerosis to date with a coronary artery disease framework of GRNs, GRN39 was identified and independently validated as being critical for the transformation of contractile SMCs into an osteogenic phenotype promoting advanced, symptomatic atherosclerosis.
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MESH Headings
- Humans
- Single-Cell Analysis
- Animals
- Gene Regulatory Networks
- Atherosclerosis/genetics
- Atherosclerosis/metabolism
- Atherosclerosis/pathology
- Mice
- Myocytes, Smooth Muscle/metabolism
- Myocytes, Smooth Muscle/pathology
- Male
- Plaque, Atherosclerotic
- Disease Progression
- Female
- Macrophages/metabolism
- Macrophages/pathology
- Mice, Knockout
- Receptors, LDL/genetics
- Receptors, LDL/metabolism
- Mice, Inbred C57BL
- Muscle, Smooth, Vascular/metabolism
- Muscle, Smooth, Vascular/pathology
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Affiliation(s)
- Giuseppe Mocci
- Department of Medicine (Huddinge), Karolinska Institutet, Sweden (G.M., L. Muhl, J.L., S.G., B.B., U.L., M.V., C.B., J.L.M.B.)
| | - Katyayani Sukhavasi
- Department of Cardiac Surgery and The Heart Clinic, Tartu University Hospital and Department of Cardiology, Institute of Clinical Medicine, Tartu University, Estonia (K.S., A.R., H.J.)
| | - Tiit Örd
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio (T.O., P.S., U.T.A., O.O.A., P.M., S.Y.-H., M.U.K.)
| | - Sean Bankier
- Computational Biology Unit, Department of Informatics, University of Bergen, Norway (S.B., T.M.)
| | - Prosanta Singha
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio (T.O., P.S., U.T.A., O.O.A., P.M., S.Y.-H., M.U.K.)
| | - Uma Thanigai Arasu
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio (T.O., P.S., U.T.A., O.O.A., P.M., S.Y.-H., M.U.K.)
| | - Olayinka Oluwasegun Agbabiaje
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio (T.O., P.S., U.T.A., O.O.A., P.M., S.Y.-H., M.U.K.)
| | - Petri Mäkinen
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio (T.O., P.S., U.T.A., O.O.A., P.M., S.Y.-H., M.U.K.)
| | - Lijiang Ma
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York (L. Ma, S.K., K.H., J.L.M.B.)
| | - Chani J. Hodonsky
- Robert M. Berne Cardiovascular Research Center (C.J.H., G.K.O., C.J.M.), University of Virginia, Charlottesville
- Center for Public Health Genomics (C.J.H., R.A., M.C.), University of Virginia, Charlottesville
| | - Redouane Aherrahrou
- Center for Public Health Genomics (C.J.H., R.A., M.C.), University of Virginia, Charlottesville
- Department of Biomedical Engineering (R.A., M.C.), University of Virginia, Charlottesville
| | - Lars Muhl
- Department of Medicine (Huddinge), Karolinska Institutet, Sweden (G.M., L. Muhl, J.L., S.G., B.B., U.L., M.V., C.B., J.L.M.B.)
| | - Jianping Liu
- Department of Medicine (Huddinge), Karolinska Institutet, Sweden (G.M., L. Muhl, J.L., S.G., B.B., U.L., M.V., C.B., J.L.M.B.)
| | - Sonja Gustafsson
- Department of Medicine (Huddinge), Karolinska Institutet, Sweden (G.M., L. Muhl, J.L., S.G., B.B., U.L., M.V., C.B., J.L.M.B.)
| | - Byambajav Byandelger
- Department of Medicine (Huddinge), Karolinska Institutet, Sweden (G.M., L. Muhl, J.L., S.G., B.B., U.L., M.V., C.B., J.L.M.B.)
| | - Ying Wang
- Division of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, CA (Y.W., N.J.L.)
- Stanford Cardiovascular Institute, Stanford University, CA (Y.W., N.J.L.)
| | - Simon Koplev
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York (L. Ma, S.K., K.H., J.L.M.B.)
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, United Kingdom (S.K.)
| | - Urban Lendahl
- Department of Medicine (Huddinge), Karolinska Institutet, Sweden (G.M., L. Muhl, J.L., S.G., B.B., U.L., M.V., C.B., J.L.M.B.)
| | - Gary K. Owens
- Robert M. Berne Cardiovascular Research Center (C.J.H., G.K.O., C.J.M.), University of Virginia, Charlottesville
| | - Nicholas J. Leeper
- Division of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, CA (Y.W., N.J.L.)
- Stanford Cardiovascular Institute, Stanford University, CA (Y.W., N.J.L.)
| | - Gerard Pasterkamp
- Laboratory of Experimental Cardiology (G.P., M.M.), University Medical Center Utrecht, the Netherlands
- Central Diagnostics Laboratory (G.P., M.M.), University Medical Center Utrecht, the Netherlands
| | - Michael Vanlandewijck
- Department of Medicine (Huddinge), Karolinska Institutet, Sweden (G.M., L. Muhl, J.L., S.G., B.B., U.L., M.V., C.B., J.L.M.B.)
| | - Tom Michoel
- Computational Biology Unit, Department of Informatics, University of Bergen, Norway (S.B., T.M.)
| | - Arno Ruusalepp
- Department of Cardiac Surgery and The Heart Clinic, Tartu University Hospital and Department of Cardiology, Institute of Clinical Medicine, Tartu University, Estonia (K.S., A.R., H.J.)
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York (L. Ma, S.K., K.H., J.L.M.B.)
| | - Seppo Ylä-Herttuala
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio (T.O., P.S., U.T.A., O.O.A., P.M., S.Y.-H., M.U.K.)
| | - Marika Väli
- Department of Immunology, Genetics, and Pathology, Rudbeck Laboratory, Uppsala University, Sweden (M.V., C.B.)
- Department of Pathological anatomy and Forensic medicine, Institute of Biomedicine and Translational Medicine, University of Tartu, Estonia (M.V.)
| | - Heli Järve
- Department of Cardiac Surgery and The Heart Clinic, Tartu University Hospital and Department of Cardiology, Institute of Clinical Medicine, Tartu University, Estonia (K.S., A.R., H.J.)
| | - Michal Mokry
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio (T.O., P.S., U.T.A., O.O.A., P.M., S.Y.-H., M.U.K.)
- Laboratory of Experimental Cardiology (G.P., M.M.), University Medical Center Utrecht, the Netherlands
| | - Mete Civelek
- Center for Public Health Genomics (C.J.H., R.A., M.C.), University of Virginia, Charlottesville
- Department of Biomedical Engineering (R.A., M.C.), University of Virginia, Charlottesville
| | - Clint J. Miller
- Robert M. Berne Cardiovascular Research Center (C.J.H., G.K.O., C.J.M.), University of Virginia, Charlottesville
| | - Jason C. Kovacic
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York (J.C.K.)
- Victor Chang Cardiac Research Institute, Darlinghurst, Australia (J.C.K.)
- St. Vincent’s Clinical School, University of NSW, Sydney, Australia (J.C.K.)
| | - Minna U. Kaikkonen
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio (T.O., P.S., U.T.A., O.O.A., P.M., S.Y.-H., M.U.K.)
| | - Christer Betsholtz
- Department of Medicine (Huddinge), Karolinska Institutet, Sweden (G.M., L. Muhl, J.L., S.G., B.B., U.L., M.V., C.B., J.L.M.B.)
- Department of Immunology, Genetics, and Pathology, Rudbeck Laboratory, Uppsala University, Sweden (M.V., C.B.)
| | - Johan L.M. Björkegren
- Department of Medicine (Huddinge), Karolinska Institutet, Sweden (G.M., L. Muhl, J.L., S.G., B.B., U.L., M.V., C.B., J.L.M.B.)
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York (L. Ma, S.K., K.H., J.L.M.B.)
- Clinical Gene Networks AB, Stockholm, Sweden (J.L.M.B.)
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2
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Khan M, Ludl A, Bankier S, Björkegren JLM, Michoel T. Prediction of causal genes at GWAS loci with pleiotropic gene regulatory effects using sets of correlated instrumental variables. ArXiv 2024:arXiv:2401.06261v1. [PMID: 38259344 PMCID: PMC10802687] [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] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Multivariate Mendelian randomization (MVMR) is a statistical technique that uses sets of genetic instruments to estimate the direct causal effects of multiple exposures on an outcome of interest. At genomic loci with pleiotropic gene regulatory effects, that is, loci where the same genetic variants are associated to multiple nearby genes, MVMR can potentially be used to predict candidate causal genes. However, consensus in the field dictates that the genetic instruments in MVMR must be independent (not in linkage disequilibrium), which is usually not possible when considering a group of candidate genes from the same locus. Here we used causal inference theory to show that MVMR with correlated instruments satisfies the instrumental set condition. This is a classical result by Brito and Pearl (2002) for structural equation models that guarantees the identifiability of individual causal effects in situations where multiple exposures collectively, but not individually, separate a set of instrumental variables from an outcome variable. Extensive simulations confirmed the validity and usefulness of these theoretical results even at modest sample sizes ( n ≳ 500 - 1000 ) . Importantly, the causal effect estimates remain unbiased and their variance small when instruments are highly correlated. We applied MVMR with correlated instrumental variable sets at genome-wide significant loci for coronary artery disease (CAD) risk using expression Quantitative Trait Loci (eQTL) data from seven vascular and metabolic tissues in the STARNET study. Our method predicts causal genes at twelve loci, each associated with multiple colocated genes in multiple tissues. We confirm causal roles for PHACTR1 and ADAMTS7 in arterial tissues, among others. However, the extensive degree of regulatory pleiotropy across tissues and the limited number of causal variants in each locus still require that MVMR is run on a tissue-by-tissue basis, and testing all gene-tissue pairs with cis-eQTL associations at a given locus in a single model to predict causal gene-tissue combinations remains infeasible. Our results show that within tissues, MVMR with dependent, as opposed to independent, sets of instrumental variables significantly expands the scope for predicting causal genes in disease risk loci with pleiotropic regulatory effects. However, considering risk loci with regulatory pleiotropy that also spans across tissues remains an unsolved problem.
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Affiliation(s)
- Mariyam Khan
- Computational Biology Unit, Department of Informatics, University of Bergen, P.O. Box 7803, N-5020 Bergen, Norway, Norway
| | - Adriaan Ludl
- Computational Biology Unit, Department of Informatics, University of Bergen, P.O. Box 7803, N-5020 Bergen, Norway, Norway
| | - Sean Bankier
- Computational Biology Unit, Department of Informatics, University of Bergen, P.O. Box 7803, N-5020 Bergen, Norway, Norway
| | - Johan LM Björkegren
- Department of Medicine, (Huddinge), Karolinska Institutet, 141 57 Huddinge, Sweden
- Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029-6574, USA
| | - Tom Michoel
- Computational Biology Unit, Department of Informatics, University of Bergen, P.O. Box 7803, N-5020 Bergen, Norway, Norway
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3
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Bankier S, Wang L, Crawford A, Morgan RA, Ruusalepp A, Andrew R, Björkegren JLM, Walker BR, Michoel T. Plasma cortisol-linked gene networks in hepatic and adipose tissues implicate corticosteroid-binding globulin in modulating tissue glucocorticoid action and cardiovascular risk. Front Endocrinol (Lausanne) 2023; 14:1186252. [PMID: 37745713 PMCID: PMC10513085 DOI: 10.3389/fendo.2023.1186252] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 07/14/2023] [Indexed: 09/26/2023] Open
Abstract
Genome-wide association meta-analysis (GWAMA) by the Cortisol Network (CORNET) consortium identified genetic variants spanning the SERPINA6/SERPINA1 locus on chromosome 14 associated with morning plasma cortisol, cardiovascular disease (CVD), and SERPINA6 mRNA expression encoding corticosteroid-binding globulin (CBG) in the liver. These and other findings indicate that higher plasma cortisol levels are causally associated with CVD; however, the mechanisms by which variations in CBG lead to CVD are undetermined. Using genomic and transcriptomic data from The Stockholm Tartu Atherosclerosis Reverse Networks Engineering Task (STARNET) study, we identified plasma cortisol-linked single-nucleotide polymorphisms (SNPs) that are trans-associated with genes from seven different vascular and metabolic tissues, finding the highest representation of trans-genes in the liver, subcutaneous fat, and visceral abdominal fat, [false discovery rate (FDR) = 15%]. We identified a subset of cortisol-associated trans-genes that are putatively regulated by the glucocorticoid receptor (GR), the primary transcription factor activated by cortisol. Using causal inference, we identified GR-regulated trans-genes that are responsible for the regulation of tissue-specific gene networks. Cis-expression Quantitative Trait Loci (eQTLs) were used as genetic instruments for identification of pairwise causal relationships from which gene networks could be reconstructed. Gene networks were identified in the liver, subcutaneous fat, and visceral abdominal fat, including a high confidence gene network specific to subcutaneous adipose (FDR = 10%) under the regulation of the interferon regulatory transcription factor, IRF2. These data identify a plausible pathway through which variation in the liver CBG production perturbs cortisol-regulated gene networks in peripheral tissues and thereby promote CVD.
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Affiliation(s)
- Sean Bankier
- University/BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
- Division of Genetics and Genomics, The Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Lingfei Wang
- Division of Genetics and Genomics, The Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Andrew Crawford
- University/BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Ruth A. Morgan
- University/BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
- SRUC, The Roslin Institute, Edinburgh, United Kingdom
| | - Arno Ruusalepp
- Department of Cardiac Surgery, Tartu University Hospital, Tartu, Estonia
- Department of Cardiology, Institute of Clinical Medicine, Tartu University, Tartu, Estonia
- Clinical Gene Networks AB, Stockholm, Sweden
| | - Ruth Andrew
- University/BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Johan L. M. Björkegren
- Clinical Gene Networks AB, Stockholm, Sweden
- Department of Medicine, Karolinska Institutet, Karolinska Universitetssjukhuset, Huddinge, Sweden
- Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Brian R. Walker
- University/BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
- Clinical and Translational Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Tom Michoel
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
- Division of Genetics and Genomics, The Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom
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4
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Kleeman SO, Thakir TM, Demestichas B, Mourikis N, Loiero D, Ferrer M, Bankier S, Riazat-Kesh YJ, Lee H, Chantzichristos D, Regan C, Preall J, Sinha S, Rosin N, Yipp B, de Almeida LG, Biernaskie J, Dufour A, Tober-Lau P, Ruusalepp A, Bjorkegren JL, Ralser M, Kurth F, Demichev V, Heywood T, Gao Q, Johannsson G, Koelzer VH, Walker BR, Meyer HV, Janowitz T. Cystatin C is glucocorticoid responsive, directs recruitment of Trem2+ macrophages, and predicts failure of cancer immunotherapy. Cell Genom 2023; 3:100347. [PMID: 37601967 PMCID: PMC10435381 DOI: 10.1016/j.xgen.2023.100347] [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] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 03/23/2023] [Accepted: 05/30/2023] [Indexed: 08/22/2023]
Abstract
Cystatin C (CyC), a secreted cysteine protease inhibitor, has unclear biological functions. Many patients exhibit elevated plasma CyC levels, particularly during glucocorticoid (GC) treatment. This study links GCs with CyC's systemic regulation by utilizing genome-wide association and structural equation modeling to determine CyC production genetics in the UK Biobank. Both CyC production and a polygenic score (PGS) capturing predisposition to CyC production were associated with increased all-cause and cancer-specific mortality. We found that the GC receptor directly targets CyC, leading to GC-responsive CyC secretion in macrophages and cancer cells. CyC-knockout tumors displayed significantly reduced growth and diminished recruitment of TREM2+ macrophages, which have been connected to cancer immunotherapy failure. Furthermore, the CyC-production PGS predicted checkpoint immunotherapy failure in 685 patients with metastatic cancer from combined clinical trial cohorts. In conclusion, CyC may act as a GC effector pathway via TREM2+ macrophage recruitment and may be a potential target for combination cancer immunotherapy.
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Affiliation(s)
- Sam O. Kleeman
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | | | | | - Dominik Loiero
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Miriam Ferrer
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Sean Bankier
- BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
| | | | - Hassal Lee
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Dimitrios Chantzichristos
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Endocrinology Diabetes and Metabolism, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Claire Regan
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | - Sarthak Sinha
- Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
| | - Nicole Rosin
- Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
| | - Bryan Yipp
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Luiz G.N. de Almeida
- Department of Biochemistry and Molecular Biology and Physiology and Pharmacology, University of Calgary, Calgary, AB, Canada
| | - Jeff Biernaskie
- Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
- Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Antoine Dufour
- Department of Biochemistry and Molecular Biology and Physiology and Pharmacology, University of Calgary, Calgary, AB, Canada
| | | | - Arno Ruusalepp
- Department of Cardiac Surgery, Tartu University Hospital, Tartu, Estonia
| | - Johan L.M. Bjorkegren
- Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Markus Ralser
- Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Florian Kurth
- Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Todd Heywood
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Qing Gao
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Gudmundur Johannsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Endocrinology Diabetes and Metabolism, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Viktor H. Koelzer
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Oncology and Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Brian R. Walker
- BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
- Translational & Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Tobias Janowitz
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
- Cancer Institute, Northwell Health, New Hyde Park, NY, USA
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5
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Banka S, Shalev S, Park SM, Wood KA, Thomas HB, Wright HL, Alyahya M, Bankier S, Alimi O, Chervinsky E, Zeef LAH, O’Keefe RT. Bi-allelic FRA10AC1 variants in a multisystem human syndrome. Brain 2022; 145:e86-e89. [DOI: 10.1093/brain/awac262] [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] [Received: 06/16/2022] [Accepted: 06/22/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Siddharth Banka
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester , Manchester , UK
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust , Manchester , UK
| | - Stavit Shalev
- The Genetics Institute, Emek Medical Center, Afula, Rappaport faculty of Medicine , Technion, Haifa , Israel
| | - Soo-Mi Park
- Department of Clinical Genetics, Addenbrooke's Treatment Centre, Cambridge University Hospitals NHS Foundation Trust , Cambridge , UK
| | - Katherine A Wood
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester , Manchester , UK
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust , Manchester , UK
| | - Huw B Thomas
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester , Manchester , UK
| | - Helen L Wright
- Institute of Life Course and Medical Sciences, University of Liverpool , Liverpool UK
| | - Mohammed Alyahya
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester , Manchester , UK
- Department of Health support services, Ministry of Health , Saudi Arabia
- Wadi General Hospital, Ministry of Health , Saudi Arabia
| | - Sean Bankier
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester , Manchester , UK
| | - Ola Alimi
- The Genetics Institute, Emek Medical Center, Afula, Rappaport faculty of Medicine , Technion, Haifa , Israel
| | - Elena Chervinsky
- The Genetics Institute, Emek Medical Center, Afula, Rappaport faculty of Medicine , Technion, Haifa , Israel
| | - Leo A H Zeef
- Bioinformatics Core Facility, The Faculty of Medicine and Health, University of Manchester , Manchester , UK
| | - Raymond T O’Keefe
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester , Manchester , UK
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Koplev S, Seldin M, Sukhavasi K, Ermel R, Pang S, Zeng L, Bankier S, Di Narzo A, Cheng H, Meda V, Ma A, Talukdar H, Cohain A, Amadori L, Argmann C, Houten SM, Franzén O, Mocci G, Meelu OA, Ishikawa K, Whatling C, Jain A, Jain RK, Gan LM, Giannarelli C, Roussos P, Hao K, Schunkert H, Michoel T, Ruusalepp A, Schadt EE, Kovacic JC, Lusis AJ, Björkegren JLM. A mechanistic framework for cardiometabolic and coronary artery diseases. Nat Cardiovasc Res 2022; 1:85-100. [PMID: 36276926 PMCID: PMC9583458 DOI: 10.1038/s44161-021-00009-1] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Abstract
Coronary atherosclerosis results from the delicate interplay of genetic and exogenous risk factors, principally taking place in metabolic organs and the arterial wall. Here we show that 224 gene-regulatory coexpression networks (GRNs) identified by integrating genetic and clinical data from patients with (n = 600) and without (n = 250) coronary artery disease (CAD) with RNA-seq data from seven disease-relevant tissues in the Stockholm-Tartu Atherosclerosis Reverse Network Engineering Task (STARNET) study largely capture this delicate interplay, explaining >54% of CAD heritability. Within 89 cross-tissue GRNs associated with clinical severity of CAD, 374 endocrine factors facilitated inter-organ interactions, primarily along an axis from adipose tissue to the liver (n = 152). This axis was independently replicated in genetically diverse mouse strains and by injection of recombinant forms of adipose endocrine factors (EPDR1, FCN2, FSTL3 and LBP) that markedly altered blood lipid and glucose levels in mice. Altogether, the STARNET database and the associated GRN browser (http://starnet.mssm.edu) provide a multiorgan framework for exploration of the molecular interplay between cardiometabolic disorders and CAD.
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Affiliation(s)
- Simon Koplev
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marcus Seldin
- Departments of Medicine, Human Genetics and Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biological Chemistry and Center for Epigenetics and Metabolism, University of California, Irvine, CA, USA
| | - Katyayani Sukhavasi
- Department of Cardiac Surgery and the Heart Clinic, Tartu University Hospital and Department of Cardiology, Institute of Clinical Medicine, Tartu University, Tartu, Estonia
| | - Raili Ermel
- Department of Cardiac Surgery and the Heart Clinic, Tartu University Hospital and Department of Cardiology, Institute of Clinical Medicine, Tartu University, Tartu, Estonia
| | - Shichao Pang
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, DZHK (German Centre for Cardiovascular Research), Munich Heart Alliance, Munich, Germany
| | - Lingyao Zeng
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, DZHK (German Centre for Cardiovascular Research), Munich Heart Alliance, Munich, Germany
| | - Sean Bankier
- BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
| | - Antonio Di Narzo
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Haoxiang Cheng
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vamsidhar Meda
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Angela Ma
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Husain Talukdar
- Department of Medicine, Karolinska Institutet, Karolinska Universitetssjukhuset, Huddinge, Sweden
| | - Ariella Cohain
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Letizia Amadori
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- New York University Cardiovascular Research Center, Department of Medicine, Leon H. Charney Division of Cardiology, New York University Grossman School of Medicine, New York University Langone Health, New York, NY, USA
| | - Carmen Argmann
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sander M. Houten
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Oscar Franzén
- Department of Medicine, Karolinska Institutet, Karolinska Universitetssjukhuset, Huddinge, Sweden
| | - Giuseppe Mocci
- Department of Medicine, Karolinska Institutet, Karolinska Universitetssjukhuset, Huddinge, Sweden
| | - Omar A. Meelu
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kiyotake Ishikawa
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carl Whatling
- Translational Science and Experimental Medicine, Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Anamika Jain
- Department of Cardiac Surgery and the Heart Clinic, Tartu University Hospital and Department of Cardiology, Institute of Clinical Medicine, Tartu University, Tartu, Estonia
| | - Rajeev Kumar Jain
- Department of Cardiac Surgery and the Heart Clinic, Tartu University Hospital and Department of Cardiology, Institute of Clinical Medicine, Tartu University, Tartu, Estonia
| | - Li-Ming Gan
- Early Clinical Development, Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Chiara Giannarelli
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- New York University Cardiovascular Research Center, Department of Medicine, Leon H. Charney Division of Cardiology, New York University Grossman School of Medicine, New York University Langone Health, New York, NY, USA
| | - Panos Roussos
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Dementia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
- Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, USA
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Sema4, Stamford, CT, USA
| | - Heribert Schunkert
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, DZHK (German Centre for Cardiovascular Research), Munich Heart Alliance, Munich, Germany
| | - Tom Michoel
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
| | - Arno Ruusalepp
- Department of Cardiac Surgery and the Heart Clinic, Tartu University Hospital and Department of Cardiology, Institute of Clinical Medicine, Tartu University, Tartu, Estonia
- Clinical Gene Networks AB, Stockholm, Sweden
| | - Eric E. Schadt
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Sema4, Stamford, CT, USA
| | - Jason C. Kovacic
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia
- St Vincent’s Clinical School, University of NSW, Sydney, New South Wales, Australia
| | - Aldon J. Lusis
- Departments of Medicine, Human Genetics and Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Johan L. M. Björkegren
- Department of Genetics and Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Karolinska Institutet, Karolinska Universitetssjukhuset, Huddinge, Sweden
- Clinical Gene Networks AB, Stockholm, Sweden
- Correspondence and requests for materials should be addressed to Johan L. M. Björkegren.
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Bankier S, Michoel T. eQTLs as causal instruments for the reconstruction of hormone linked gene networks. Front Endocrinol (Lausanne) 2022; 13:949061. [PMID: 36060942 PMCID: PMC9428692 DOI: 10.3389/fendo.2022.949061] [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: 05/20/2022] [Accepted: 07/25/2022] [Indexed: 11/17/2022] Open
Abstract
Hormones act within in highly dynamic systems and much of the phenotypic response to variation in hormone levels is mediated by changes in gene expression. The increase in the number and power of large genetic association studies has led to the identification of hormone linked genetic variants. However, the biological mechanisms underpinning the majority of these loci are poorly understood. The advent of affordable, high throughput next generation sequencing and readily available transcriptomic databases has shown that many of these genetic variants also associate with variation in gene expression levels as expression Quantitative Trait Loci (eQTLs). In addition to further dissecting complex genetic variation, eQTLs have been applied as tools for causal inference. Many hormone networks are driven by transcription factors, and many of these genes can be linked to eQTLs. In this mini-review, we demonstrate how causal inference and gene networks can be used to describe the impact of hormone linked genetic variation upon the transcriptome within an endocrinology context.
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Crawford AA, Bankier S, Altmaier E, Barnes CLK, Clark DW, Ermel R, Friedrich N, van der Harst P, Joshi PK, Karhunen V, Lahti J, Mahajan A, Mangino M, Nethander M, Neumann A, Pietzner M, Sukhavasi K, Wang CA, Bakker SJL, Bjorkegren JLM, Campbell H, Eriksson J, Gieger C, Hayward C, Jarvelin MR, McLachlan S, Morris AP, Ohlsson C, Pennell CE, Price J, Rudan I, Ruusalepp A, Spector T, Tiemeier H, Völzke H, Wilson JF, Michoel T, Timpson NJ, Smith GD, Walker BR. Variation in the SERPINA6/SERPINA1 locus alters morning plasma cortisol, hepatic corticosteroid binding globulin expression, gene expression in peripheral tissues, and risk of cardiovascular disease. J Hum Genet 2021; 66:625-636. [PMID: 33469137 PMCID: PMC8144017 DOI: 10.1038/s10038-020-00895-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 12/14/2020] [Accepted: 12/14/2020] [Indexed: 01/30/2023]
Abstract
The stress hormone cortisol modulates fuel metabolism, cardiovascular homoeostasis, mood, inflammation and cognition. The CORtisol NETwork (CORNET) consortium previously identified a single locus associated with morning plasma cortisol. Identifying additional genetic variants that explain more of the variance in cortisol could provide new insights into cortisol biology and provide statistical power to test the causative role of cortisol in common diseases. The CORNET consortium extended its genome-wide association meta-analysis for morning plasma cortisol from 12,597 to 25,314 subjects and from ~2.2 M to ~7 M SNPs, in 17 population-based cohorts of European ancestries. We confirmed the genetic association with SERPINA6/SERPINA1. This locus contains genes encoding corticosteroid binding globulin (CBG) and α1-antitrypsin. Expression quantitative trait loci (eQTL) analyses undertaken in the STARNET cohort of 600 individuals showed that specific genetic variants within the SERPINA6/SERPINA1 locus influence expression of SERPINA6 rather than SERPINA1 in the liver. Moreover, trans-eQTL analysis demonstrated effects on adipose tissue gene expression, suggesting that variations in CBG levels have an effect on delivery of cortisol to peripheral tissues. Two-sample Mendelian randomisation analyses provided evidence that each genetically-determined standard deviation (SD) increase in morning plasma cortisol was associated with increased odds of chronic ischaemic heart disease (0.32, 95% CI 0.06-0.59) and myocardial infarction (0.21, 95% CI 0.00-0.43) in UK Biobank and similarly in CARDIoGRAMplusC4D. These findings reveal a causative pathway for CBG in determining cortisol action in peripheral tissues and thereby contributing to the aetiology of cardiovascular disease.
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Affiliation(s)
- Andrew A Crawford
- BHF Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sean Bankier
- BHF Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
- Division of Genetics and Genomics, The Roslin Institute, The University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK
| | - Elisabeth Altmaier
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Catriona L K Barnes
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - David W Clark
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Raili Ermel
- Department of Cardiac Surgery, Tartu University Hospital, Tartu, Estonia
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475, Greifswald, Germany
- German Center for Cardiovascular Disease (DZHK e.V.), partner site Greifswald, 17475, Greifswald, Germany
| | - Pim van der Harst
- Division of Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, PO box 30.001, 9700 RB, The Netherlands
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, Medical Research Council-Public Health England Centre for Environment and Health, Imperial College London, London, UK
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Jari Lahti
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
- Turku Institute of Advanced Studies, University of Turku, Turku, Finland
| | - Anubha Mahajan
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College, Lambeth Palace Road, London, SE1 7EH, UK
- NIHR Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London, UK
| | - Maria Nethander
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Alexander Neumann
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada
| | - Maik Pietzner
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475, Greifswald, Germany
- German Center for Cardiovascular Disease (DZHK e.V.), partner site Greifswald, 17475, Greifswald, Germany
| | | | - Carol A Wang
- School of Medicine and Public Health, Faculty of Medicine and Health, University of Newcastle, Newcastle, NSW, 2308, Australia
| | - Stephan J L Bakker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Johan L M Bjorkegren
- Integrated Cardio Metabolic Centre, Department of Medicine, Karolinska Institutet, Karolinska Universitetssjukhuset, Huddinge, Sweden
- Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Clinical Gene Networks AB, Stockholm, Sweden
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Johan Eriksson
- Folkhälsan Research Center, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University Health System, National University of Singapore, Helsinki, Singapore
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital University of Edinburgh, Edinburgh, EH4 2XU, Scotland
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, Medical Research Council-Public Health England Centre for Environment and Health, Imperial College London, London, UK
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Unit of Primary Health Care and Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Stela McLachlan
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Andrew P Morris
- Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, UK
- Department of Biostatistics, University of Liverpool, Liverpool, UK
- Wellcome Centre for Human genetics, University of Oxford, Oxford, UK
| | - Claes Ohlsson
- Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Drug Treatment, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Craig E Pennell
- School of Medicine and Public Health, Faculty of Medicine and Health, University of Newcastle, Newcastle, NSW, 2308, Australia
| | - Jackie Price
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
| | - Igor Rudan
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Arno Ruusalepp
- Department of Cardiac Surgery, Tartu University Hospital, Tartu, Estonia
- Clinical Gene Networks AB, Stockholm, Sweden
| | - Tim Spector
- NIHR Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London, UK
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Social and Behavioural Science, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17489, Greifswald, Germany
| | - James F Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital University of Edinburgh, Edinburgh, EH4 2XU, Scotland
| | - Tom Michoel
- Division of Genetics and Genomics, The Roslin Institute, The University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK
- Computational Biology Unit, Department of Informatics, University of Bergen, PO Box 7803, 5020, Bergen, Norway
| | - Nicolas J Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Brian R Walker
- BHF Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
- Clinical and Translational Research Institute, Newcastle University, Newcastle upon Tyne, UK.
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