Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci

被引:0
|
作者
Chunyu Liu
Aldi T Kraja
Jennifer A Smith
Jennifer A Brody
Nora Franceschini
Joshua C Bis
Kenneth Rice
Alanna C Morrison
Yingchang Lu
Stefan Weiss
Xiuqing Guo
Walter Palmas
Lisa W Martin
Yii-Der Ida Chen
Praveen Surendran
Fotios Drenos
James P Cook
Paul L Auer
Audrey Y Chu
Ayush Giri
Wei Zhao
Johanna Jakobsdottir
Li-An Lin
Jeanette M Stafford
Najaf Amin
Hao Mei
Jie Yao
Arend Voorman
Martin G Larson
Megan L Grove
Albert V Smith
Shih-Jen Hwang
Han Chen
Tianxiao Huan
Gulum Kosova
Nathan O Stitziel
Sekar Kathiresan
Nilesh Samani
Heribert Schunkert
Panos Deloukas
Man Li
Christian Fuchsberger
Cristian Pattaro
Mathias Gorski
Charles Kooperberg
George J Papanicolaou
Jacques E Rossouw
Jessica D Faul
Sharon L R Kardia
Claude Bouchard
机构
[1] Framingham Heart Study,Department of Biostatistics
[2] National Heart,Division of Statistical Genomics, Department of Genetics and Center for Genome Sciences and Systems Biology
[3] Lung,Department of Epidemiology
[4] and Blood Institute,Department of Medicine
[5] School of Public Health,Department of Biostatistics
[6] Boston University,Los Angeles Biomedical Research Institute and Department of Pediatrics
[7] Population Sciences Branch,Division of General Medicine
[8] National Heart,Department of Public Health and Primary Care
[9] Lung,Department of Biostatistics
[10] and Blood Institute,Department of Health Sciences
[11] Washington University School of Medicine,Division of Preventive Medicine
[12] School of Public Health,Division of Public Health Sciences, Department of Biostatistical Sciences
[13] University of Michigan,Department of Epidemiology
[14] Cardiovascular Health Research Unit,Department of Data Science
[15] University of Washington,Department of Mathematics and Statistics
[16] Gillings School of Global Public Health,Department of Biostatistics
[17] University of North Carolina at Chapel Hill,Division of Cardiology, Department of Medicine and Department of Genetics
[18] University of Washington,Department of Cardiovascular Sciences
[19] Human Genetics Center,Department of Epidemiology
[20] School of Public Health,Department of Genetic Epidemiology
[21] University of Texas Health Science Center at Houston,Division of Public Health Sciences
[22] Charles Bronfman Institute for Personalized Medicine,Division of Cardiovascular Sciences
[23] Icahn School of Medicine at Mount Sinai,Department of Epidemiology
[24] DZHK (German Center for Cardiovascular Research),Department of Internal Medicine
[25] partner site Greifswald,Department of Preventive Medicine
[26] Interfaculty Institute for Genetics and Functional Genomics,Department of Medicine
[27] University Medicine and Ernst Moritz Arndt University Greifswald,Cardiovascular Division
[28] Institute for Translational Genomics and Population Sciences,Department of Medicine
[29] Harbor-UCLA Medical Center,Department of Human Genetics
[30] Columbia University Medical Center,Department of Internal Medicine
[31] George Washington University School of Medicine and Health Sciences,Department of Internal Medicine B
[32] Cardiovascular Epidemiology Unit,Department of Medical Research
[33] University of Cambridge,Division of Endocrinology and Metabolism, Department of Internal Medicine
[34] Centre for Cardiovascular Genetics,Department of Obstetrics and Gynecology
[35] Institute of Cardiovascular Science,Department of Medicine
[36] University College London,Department of Epidemiology
[37] MRC Integrative Epidemiology Unit,Department of Medicine
[38] School of Social and Community Medicine,Los Angeles Biomedical Research Institute and Department of Medicine
[39] University of Bristol,Department of Health Services
[40] Oakfield House,undefined
[41] Oakfield Grove,undefined
[42] University of Liverpool,undefined
[43] University of Leicester,undefined
[44] Joseph J. Zilber School of Public Health,undefined
[45] University of Wisconsin–Milwaukee,undefined
[46] Brigham and Women's Hospital,undefined
[47] Vanderbilt Epidemiology Center,undefined
[48] Vanderbilt Genetics Institute,undefined
[49] Institute for Medicine and Public Health,undefined
[50] Vanderbilt University Medical Center,undefined
来源
Nature Genetics | 2016年 / 48卷
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中图分类号
学科分类号
摘要
Daniel Chasman, Daniel Levy, Christopher Newton-Cheh, Georg Ehret and colleagues perform an association meta-analysis for blood pressure in ∼330,000 individuals and identify 31 new risk loci, implicating biological pathways related to vascular function and cardiometabolic traits. Their findings highlight potential therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.
引用
收藏
页码:1162 / 1170
页数:8
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