학술논문

Multi-ancestry genome-wide association study accounting for gene-psychosocial factor interactions identifies novel loci for blood pressure traits
Document Type
article
Author
Daokun SunMelissa A. RichardSolomon K. MusaniYun Ju SungThomas W. WinklerKaren SchwanderJin Fang ChaiXiuqing GuoTuomas O. KilpeläinenDina VojinovicHugues AschardTraci M. BartzLawrence F. BielakMichael R. BrownKumaraswamy ChitralaFernando P. HartwigAndrea R.V.R. HorimotoYongmei LiuAlisa K. ManningRaymond NoordamAlbert V. SmithSarah E. HarrisBrigitte KühnelLeo-Pekka LyytikäinenIlja M. NolteRainer RauramaaPeter J. van der MostRujia WangErin B. WareStefan WeissWanqing WenLisa R. YanekDan E. ArkingDonna K. ArnettAna BaracEric BoerwinkleUlrich BroeckelAravinda ChakravartiYii-Der Ida ChenL. Adrienne CupplesMartha L. DavigulusLisa de las FuentesRenée de MutsertPaul S. de VriesJoseph A.C. DelaneyAna V. Diez RouxMarcus DörrJessica D. FaulAmanda M. FrettsLinda C. GalloHans Jörgen GrabeC. Charles GuTamara B. HarrisCatharina C.A. HartmanSami HeikkinenM. Arfan IkramCarmen IsasiW. Craig JohnsonJost Bruno JonasRobert C. KaplanPirjo KomulainenJose E. KriegerDaniel LevyJianjun LiuKurt LohmanAnnemarie I. LuikLisa W. MartinThomas MeitingerYuri MilaneschiJeff R. O’ConnellWalter R. PalmasAnnette PetersPatricia A. PeyserLaura Pulkki-RåbackLeslie J. RaffelAlex P. ReinerKenneth RiceJennifer G. RobinsonFrits R. RosendaalCarsten Oliver SchmidtPamela J. SchreinerLars SchwettmannJames M. ShikanyXiao-ou ShuStephen SidneyMario SimsJennifer A. SmithNona SotoodehniaKonstantin StrauchE. Shyong TaiKent D. TaylorAndré G. UitterlindenCornelia M. van DuijnMelanie WaldenbergerHwee-Lin WeeWen-Bin WeiGregory WilsonDeng XuanJie YaoDonglin ZengWei ZhaoXiaofeng ZhuAlan B. ZondermanDiane M. BeckerIan J. DearyChristian GiegerTimo A. LakkaTerho LehtimäkiKari E. NorthAlbertine J. OldehinkelBrenda W.J.H. PenninxHarold SniederYa-Xing WangDavid R. WeirWei ZhengMichele K. EvansW. James GaudermanVilmundur GudnasonBernardo L. HortaChing-Ti LiuDennis O. Mook-KanamoriAlanna C. MorrisonAlexandre C. PereiraBruce M. PsatyNajaf AminErvin R. FoxCharles KooperbergXueling SimLaura BierutJerome I. RotterSharon L.R. KardiaNora FranceschiniDabeeru C. RaoMyriam Fornage
Source
HGG Advances, Vol 2, Iss 1, Pp 100013- (2021)
Subject
gene-environment interaction
genome-wide association study
blood pressure
hypertension
psychosocial factors
depressive symptoms
Genetics
QH426-470
Language
English
ISSN
2666-2477
Abstract
Summary: 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 five ancestry groups. In the combined meta-analyses of stages 1 and 2, we identified 59 loci (p value < 5e−8), including nine novel BP loci. The novel associations were observed mostly with pulse pressure, with fewer observed with mean arterial pressure. Five novel loci were identified in African ancestry, and all but one showed patterns of interaction with at least one psychosocial factor. Functional annotation of the novel loci supports a major role for genes implicated in the immune response (PLCL2), synaptic function and neurotransmission (LIN7A and PFIA2), as well as genes previously implicated in neuropsychiatric or stress-related disorders (FSTL5 and CHODL). These findings underscore the importance of considering psychological and social factors in gene discovery for BP, especially in non-European populations.