학술논문

Rare coding variants in RCN3 are associated with blood pressure
Document Type
article
Author
Karen Y. HeTanika N. KellyHeming WangJingjing LiangLuke ZhuBrian E. CadeThemistocles L. AssimesLewis C. BeckerAmber L. BeitelsheesLawrence F. BielakAdam P. BressJennifer A. BrodyYen-Pei Christy ChangYi-Cheng ChangPaul S. de VriesRavindranath DuggiralaErvin R. FoxNora FranceschiniAnna L. FurnissYan GaoXiuqing GuoJeffrey HaesslerYi-Jen HungShih-Jen HwangMarguerite Ryan IrvinRita R. KalyaniChing-Ti LiuChunyu LiuLisa Warsinger MartinMay E. MontasserPaul M. MuntnerStanford MwasongweTake NaseriWalter PalmasMuagututi’a Sefuiva ReupenaKenneth M. RiceWayne H.-H. SheuDaichi ShimboJennifer A. SmithBeverly M. SnivelyLisa R. YanekWei ZhaoJohn BlangeroEric BoerwinkleYii-Der Ida ChenAdolfo CorreaL. Adrienne CupplesJoanne E. CurranMyriam FornageJiang HeLifang HouRobert C. KaplanSharon L. R. KardiaEimear E. KennyCharles KooperbergDonald Lloyd-JonesRuth J. F. LoosRasika A. MathiasStephen T. McGarveyBraxton D. MitchellKari E. NorthPatricia A. PeyserBruce M. PsatyLaura M. RaffieldD. C. RaoSusan RedlineAlex P. ReinerStephen S. RichJerome I. RotterKent D. TaylorRussell TracyRamachandran S. VasanThe Samoan Obesity, Lifestyle and Genetic Adaptations Study (OLaGA) Group, NHLBI Trans-Omics for Precision Medicine (TOPMed) ConsortiumAlanna C. MorrisonDaniel LevyAravinda ChakravartiDonna K. ArnettXiaofeng Zhu
Source
BMC Genomics, Vol 23, Iss 1, Pp 1-18 (2022)
Subject
Rare variant analysis
Blood pressure
Whole genome sequencing
Biotechnology
TP248.13-248.65
Genetics
QH426-470
Language
English
ISSN
1471-2164
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.