Authors

Yun J. Sung, Washington University School of Medicine in St. Louis
Thomas W. Winkler, Universität Regensburg
Lisa de las Fuentes, Washington University in St. Louis
Amy R. Bentley, National Human Genome Research Institute (NHGRI)
Michael R. Brown, University of Texas School of Public Health
Aldi T. Kraja, Washington University School of Medicine in St. Louis
Karen Schwander, Washington University School of Medicine in St. Louis
Ioanna Ntalla, Barts and The London School of Medicine and Dentistry
Xiuqing Guo, Harbor-UCLA Medical Center
Nora Franceschini, UNC Gillings School of Global Public Health
Yingchang Lu, Icahn School of Medicine at Mount Sinai
Ching Yu Cheng, Singapore Eye Research Institute
Xueling Sim, National University Health System
Dina Vojinovic, Erasmus MC
Jonathan Marten, MRC Human Genetics Unit
Solomon K. Musani, University of Mississippi School of Medicine
Changwei Li, University of Georgia
Mary F. Feitosa, Washington University School of Medicine in St. Louis
Tuomas O. Kilpeläinen, Novo Nordisk Foundation Center for Basic Metabolic Research
Melissa A. Richard, McGovern Medical School
Raymond Noordam, Leids Universitair Medisch Centrum
Stella Aslibekyan, The University of Alabama at Birmingham
Hugues Aschard, Harvard T.H. Chan School of Public Health
Traci M. Bartz, University of Washington School of Medicine
Rajkumar Dorajoo, A-Star, Genome Institute of Singapore
Yongmei Liu, Wake Forest University School of Medicine
Alisa K. Manning, Massachusetts General Hospital
Tuomo Rankinen, Pennington Biomedical Research Center
Albert Vernon Smith, Icelandic Heart Association
Salman M. Tajuddin, National Institute on Aging (NIA)
Bamidele O. Tayo, Loyola University Chicago
Helen R. Warren, Barts and The London School of Medicine and Dentistry
Wei Zhao, University of Michigan, Ann Arbor

Document Type

Article

Publication Date

3-1-2018

Abstract

Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined ∼18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 × 10−8) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 × 10−8). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).

Publication Source (Journal or Book title)

American Journal of Human Genetics

First Page

375

Last Page

400

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