학술논문
Multi-ancestry genome-wide association study accounting for gene-psychosocial factor interactions identifies novel loci for blood pressure traits
Document Type
article
Author
Sun, Daokun; Richard, Melissa A; Musani, Solomon K; Sung, Yun Ju; Winkler, Thomas W; Schwander, Karen; Chai, Jin Fang; Guo, Xiuqing; Kilpeläinen, Tuomas O; Vojinovic, Dina; Aschard, Hugues; Bartz, Traci M; Bielak, Lawrence F; Brown, Michael R; Chitrala, Kumaraswamy; Hartwig, Fernando P; Horimoto, Andrea RVR; Liu, Yongmei; Manning, Alisa K; Noordam, Raymond; Smith, Albert V; Harris, Sarah E; Kühnel, Brigitte; Lyytikäinen, Leo-Pekka; Nolte, Ilja M; Rauramaa, Rainer; van der Most, Peter J; Wang, Rujia; Ware, Erin B; Weiss, Stefan; Wen, Wanqing; Yanek, Lisa R; Arking, Dan E; Arnett, Donna K; Barac, Ana; Boerwinkle, Eric; Broeckel, Ulrich; Chakravarti, Aravinda; Chen, Yii-Der Ida; Cupples, L Adrienne; Davigulus, Martha L; de las Fuentes, Lisa; de Mutsert, Renée; de Vries, Paul S; Delaney, Joseph AC; Roux, Ana V Diez; Dörr, Marcus; Faul, Jessica D; Fretts, Amanda M; Gallo, Linda C; Grabe, Hans Jörgen; Gu, C Charles; Harris, Tamara B; Hartman, Catharina CA; Heikkinen, Sami; Ikram, M Arfan; Isasi, Carmen; Johnson, W Craig; Jonas, Jost Bruno; Kaplan, Robert C; Komulainen, Pirjo; Krieger, Jose E; Levy, Daniel; Study, Lifelines Cohort; Liu, Jianjun; Lohman, Kurt; Luik, Annemarie I; Martin, Lisa W; Meitinger, Thomas; Milaneschi, Yuri; O’Connell, Jeff R; Palmas, Walter R; Peters, Annette; Peyser, Patricia A; Pulkki-Råback, Laura; Raffel, Leslie J; Reiner, Alex P; Rice, Kenneth; Robinson, Jennifer G; Rosendaal, Frits R; Schmidt, Carsten Oliver; Schreiner, Pamela J; Schwettmann, Lars; Shikany, James M; Shu, Xiao-ou; Sidney, Stephen; Sims, Mario; Smith, Jennifer A; Sotoodehnia, Nona; Strauch, Konstantin; Tai, E Shyong; Taylor, Kent D; Uitterlinden, André G; van Duijn, Cornelia M; Waldenberger, Melanie; Wee, Hwee-Lin; Wei, Wen-Bin; Wilson, Gregory; Xuan, Deng; Yao, Jie
Source
Human Genetics and Genomics Advances. 2(1)
Subject
Language
Abstract
Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from 5 ancestry groups. In the combined meta-analyses of Stages 1 and 2, we identified 59 loci (p value