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

关键词：

D O I：

暂无

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

页码：1162 / 1170

页数：8

共 50 条

[1] Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci
Liu, Chunyu
Kraja, Aldi T.
Smith, Jennifer A.
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Franceschini, Nora
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