학술논문
Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension
Document Type
article
Author
Kelly, Tanika N; Sun, Xiao; He, Karen Y; Brown, Michael R; Taliun, Sarah A Gagliano; Hellwege, Jacklyn N; Irvin, Marguerite R; Mi, Xuenan; Brody, Jennifer A; Franceschini, Nora; Guo, Xiuqing; Hwang, Shih-Jen; de Vries, Paul S; Gao, Yan; Moscati, Arden; Nadkarni, Girish N; Yanek, Lisa R; Elfassy, Tali; Smith, Jennifer A; Chung, Ren-Hua; Beitelshees, Amber L; Patki, Amit; Aslibekyan, Stella; Blobner, Brandon M; Peralta, Juan M; Assimes, Themistocles L; Palmas, Walter R; Liu, Chunyu; Bress, Adam P; Huang, Zhijie; Becker, Lewis C; Hwa, Chii-Min; O’Connell, Jeffrey R; Carlson, Jenna C; Warren, Helen R; Das, Sayantan; Giri, Ayush; Martin, Lisa W; Johnson, W Craig; Fox, Ervin R; Bottinger, Erwin P; Razavi, Alexander C; Vaidya, Dhananjay; Chuang, Lee-Ming; Chang, Yen-Pei C; Naseri, Take; Jain, Deepti; Kang, Hyun Min; Hung, Adriana M; Srinivasasainagendra, Vinodh; Snively, Beverly M; Gu, Dongfeng; Montasser, May E; Reupena, Muagututi A Sefuiva; Heavner, Benjamin D; LeFaive, Jonathon; Hixson, James E; Rice, Kenneth M; Wang, Fei Fei; Nielsen, Jonas B; Huang, Jianfeng; Khan, Alyna T; Zhou, Wei; Nierenberg, Jovia L; Laurie, Cathy C; Armstrong, Nicole D; Shi, Mengyao; Pan, Yang; Stilp, Adrienne M; Emery, Leslie; Wong, Quenna; Hawley, Nicola L; Minster, Ryan L; Curran, Joanne E; Munroe, Patricia B; Weeks, Daniel E; North, Kari E; Tracy, Russell P; Kenny, Eimear E; Shimbo, Daichi; Chakravarti, Aravinda; Rich, Stephen S; Reiner, Alex P; Blangero, John; Redline, Susan; Mitchell, Braxton D; Rao, Dabeeru C; Chen, Yii-Der Ida; Kardia, Sharon LR; Kaplan, Robert C; Mathias, Rasika A; He, Jiang; Psaty, Bruce M; Fornage, Myriam; Loos, Ruth JF; Correa, Adolfo; Boerwinkle, Eric; Rotter, Jerome I; Kooperberg, Charles; Edwards, Todd L
Source
Hypertension. 79(8)
Subject
Language
Abstract
BackgroundThe availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure.MethodsWe conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants.ResultsTwo blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings (P