Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci

被引:0
|
作者
Lisa de las Fuentes
Yun Ju Sung
Raymond Noordam
Thomas Winkler
Mary F. Feitosa
Karen Schwander
Amy R. Bentley
Michael R. Brown
Xiuqing Guo
Alisa Manning
Daniel I. Chasman
Hugues Aschard
Traci M. Bartz
Lawrence F. Bielak
Archie Campbell
Ching-Yu Cheng
Rajkumar Dorajoo
Fernando P. Hartwig
A. R. V. R. Horimoto
Changwei Li
Ruifang Li-Gao
Yongmei Liu
Jonathan Marten
Solomon K. Musani
Ioanna Ntalla
Tuomo Rankinen
Melissa Richard
Xueling Sim
Albert V. Smith
Salman M. Tajuddin
Bamidele O. Tayo
Dina Vojinovic
Helen R. Warren
Deng Xuan
Maris Alver
Mathilde Boissel
Jin-Fang Chai
Xu Chen
Kaare Christensen
Jasmin Divers
Evangelos Evangelou
Chuan Gao
Giorgia Girotto
Sarah E. Harris
Meian He
Fang-Chi Hsu
Brigitte Kühnel
Federica Laguzzi
Xiaoyin Li
Leo-Pekka Lyytikäinen
机构
[1] Washington University,Cardiovascular Division, Department of Medicine
[2] Washington University School of Medicine,Division of Biostatistics
[3] Leiden University Medical Center,Section of Gerontology and Geriatrics, Department of Internal Medicine
[4] University of Regensburg,Department of Genetic Epidemiology
[5] Washington University School of Medicine,Division of Statistical Genomics, Department of Genetics
[6] National Institutes of Health,Center for Research on Genomics and Global Health, National Human Genome Research Institute
[7] The University of Texas Health Science Center at Houston,Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health
[8] Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center,The Institute for Translational Genomics and Population Sciences, Division of Genomic Outcomes, Department of Pediatrics
[9] Massachusetts General Hospital,Clinical and Translational Epidemiology Unit
[10] Harvard Medical School,Department of Medicine
[11] Brigham and Women’s Hospital,Division of Preventive Medicine
[12] Harvard Medical School,Department of Epidemiology
[13] Harvard School of Public Health,Cardiovascular Health Research Unit, Biostatistics and Medicine
[14] Centre de Bioinformatique,Department of Epidemiology, School of Public Health
[15] Biostatistique et Biologie Intégrative (C3BI),Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine
[16] Institut Pasteur,Ocular Epidemiology, Singapore Eye Research Institute
[17] University of Washington,Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP)
[18] University of Michigan,Genome Institute of Singapore
[19] University of Edinburgh,Postgraduate Programme in Epidemiology
[20] Singapore National Ecy Centre,Medical Research Council Integrative Epidemiology Unit
[21] Duke-NUS Medical School,Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor)
[22] Agency for Science Technology and Research,Epidemiology and Biostatistics
[23] Federal University of Pelotas,Department of Clinical Epidemiology
[24] University of Bristol,Public Health Sciences, Epidemiology and Prevention
[25] University of São Paulo Medical School,Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Institute of Genetics and Molecular Medicine
[26] University of Georgia at Athens College of Public Health,Jackson Heart Study, Department of Medicine
[27] Leiden University Medical Center,Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry
[28] Wake Forest University Health Sciences,Human Genomics Laboratory
[29] University of Edinburgh,Institute of Molecular Medicine, McGovern Medical School
[30] University of Mississippi Medical Center,Saw Swee Hock School of Public Health
[31] Queen Mary University of London,Department of Biostatistics
[32] Pennington Biomedical Research Center,Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging
[33] University of Texas Health Science Center at Houston,Department of Public Health Sciences
[34] National University Health System and National University of Singapore,Department of Epidemiology
[35] University of Michigan,NIHR Barts Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry
[36] Icelandic Heart Association,Estonian Genome Center
[37] National Institutes of Health,Department of Biotechnology, Institute of Molecular and Cell Biology
[38] Loyola University Chicago,CNRS UMR 8199, European Genomic Institute for Diabetes (EGID)
[39] Erasmus University Medical Center,Department of Medical Epidemiology and Biostatistics
[40] Queen Mary University of London,Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health
[41] London,Biostatistical Sciences, Public Health Sciences
[42] Biostatistics,Department of Epidemiology and Biostatistics
[43] Boston University School of Public Health,Department of Hygiene and Epidemiology
[44] Institute of Genomics,Molecular Genetics and Genomics Program
[45] University of Tartu,Medical Genetics, Department of Medicine, Surgery and Health Sciences
[46] University of Tartu,Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology
[47] Institut Pasteur de Lille,Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongji Medical College
[48] University of Lille,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München
[49] Karolinska Institutet,Institute of Epidemiology, Helmholtz Zentrum München
[50] Stockholm,Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine
来源
Molecular Psychiatry | 2021年 / 26卷
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摘要
Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, “Some College” (yes/no) and “Graduated College” (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P < 5 × 10-8). Two novel loci were identified based on the 1DF test of interaction with educational attainment, while the remaining 16 loci were identified through the 2DF joint test of genetic and interaction effects. Ten novel loci were identified in individuals of African ancestry. Several novel loci show strong biological plausibility since they involve physiologic systems implicated in BP regulation. They include genes involved in the central nervous system-adrenal signaling axis (ZDHHC17, CADPS, PIK3C2G), vascular structure and function (GNB3, CDON), and renal function (HAS2 and HAS2-AS1, SLIT3). Collectively, these findings suggest a role of educational attainment or SES in further dissection of the genetic architecture of BP.
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页码:2111 / 2125
页数:14
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