Rare coding variants in RCN3 are associated with blood pressure
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Published:2022-02-19
Issue:1
Volume:23
Page:
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ISSN:1471-2164
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Container-title:BMC Genomics
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language:en
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Short-container-title:BMC Genomics
Author:
He Karen Y., Kelly Tanika N., Wang Heming, Liang Jingjing, Zhu Luke, Cade Brian E., Assimes Themistocles L., Becker Lewis C., Beitelshees Amber L., Bielak Lawrence F., Bress Adam P., Brody Jennifer A., Chang Yen-Pei Christy, Chang Yi-Cheng, de Vries Paul S., Duggirala Ravindranath, Fox Ervin R., Franceschini Nora, Furniss Anna L., Gao Yan, Guo Xiuqing, Haessler Jeffrey, Hung Yi-Jen, Hwang Shih-Jen, Irvin Marguerite Ryan, Kalyani Rita R., Liu Ching-Ti, Liu Chunyu, Martin Lisa Warsinger, Montasser May E., Muntner Paul M., Mwasongwe Stanford, Naseri Take, Palmas Walter, Reupena Muagututi’a Sefuiva, Rice Kenneth M., Sheu Wayne H.-H., Shimbo Daichi, Smith Jennifer A., Snively Beverly M., Yanek Lisa R., Zhao Wei, Blangero John, Boerwinkle Eric, Chen Yii-Der Ida, Correa Adolfo, Cupples L. Adrienne, Curran Joanne E., Fornage Myriam, He Jiang, Hou Lifang, Kaplan Robert C., Kardia Sharon L. R., Kenny Eimear E., Kooperberg Charles, Lloyd-Jones Donald, Loos Ruth J. F., Mathias Rasika A., McGarvey Stephen T., Mitchell Braxton D., North Kari E., Peyser Patricia A., Psaty Bruce M., Raffield Laura M., Rao D. C., Redline Susan, Reiner Alex P., Rich Stephen S., Rotter Jerome I., Taylor Kent D., Tracy Russell, Vasan Ramachandran S., Morrison Alanna C., Levy Daniel, Chakravarti Aravinda, Arnett Donna K., Zhu XiaofengORCID,
Abstract
Abstract
Background
While large genome-wide association studies have identified nearly one thousand loci associated with variation in blood pressure, rare variant identification is still a challenge. In family-based cohorts, genome-wide linkage scans have been successful in identifying rare genetic variants for blood pressure. This study aims to identify low frequency and rare genetic variants within previously reported linkage regions on chromosomes 1 and 19 in African American families from the Trans-Omics for Precision Medicine (TOPMed) program. Genetic association analyses weighted by linkage evidence were completed with whole genome sequencing data within and across TOPMed ancestral groups consisting of 60,388 individuals of European, African, East Asian, Hispanic, and Samoan ancestries.
Results
Associations of low frequency and rare variants in RCN3 and multiple other genes were observed for blood pressure traits in TOPMed samples. The association of low frequency and rare coding variants in RCN3 was further replicated in UK Biobank samples (N = 403,522), and reached genome-wide significance for diastolic blood pressure (p = 2.01 × 10− 7).
Conclusions
Low frequency and rare variants in RCN3 contributes blood pressure variation. This study demonstrates that focusing association analyses in linkage regions greatly reduces multiple-testing burden and improves power to identify novel rare variants associated with blood pressure traits.
Funder
national heart, lung, and blood institute national human genome research institute
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Biotechnology
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