Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids
-
Published:2025-06-20
Issue:1
Volume:15
Page:
-
ISSN:2158-3188
-
Container-title:Translational Psychiatry
-
language:en
-
Short-container-title:Transl Psychiatry
Author:
Bentley Amy R.ORCID, Brown Michael R.ORCID, Musani Solomon K., Schwander Karen L.ORCID, Winkler Thomas W.ORCID, Sims Mario, Kilpeläinen Tuomas O.ORCID, Aschard HuguesORCID, Bartz Traci M., Bielak Lawrence F.ORCID, Chai Jin-Fang, Chitrala Kumaraswamy Naidu, Franceschini NoraORCID, Graff MariaelisaORCID, Guo XiuqingORCID, Hartwig Fernando P.ORCID, Horimoto Andrea R.V.R., Lim EliseORCID, Liu Yongmei, Manning Alisa K.ORCID, Nolte Ilja M.ORCID, Noordam RaymondORCID, Richard Melissa A., Smith Albert V.ORCID, Sung Yun JuORCID, Vojinovic Dina, Wang Rujia, Wang YujieORCID, Feitosa Mary F.ORCID, Harris Sarah E.ORCID, Lyytikäinen Leo-PekkaORCID, Pistis GiorgioORCID, Rauramaa Rainer, van der Most Peter J.ORCID, Ware ErinORCID, Weiss StefanORCID, Wen Wanqing, Yanek Lisa R.ORCID, Arking Dan E.ORCID, Arnett Donna K., Ballantyne ChristieORCID, Boerwinkle Eric, Chen Yii-Der Ida, Daviglus Martha L., de las Fuentes LisaORCID, de Vries Paul S.ORCID, Delaney Joseph A. C., Fretts Amanda M., Ekunwe Lynette, Faul Jessica D., Gallo Linda C., Heikkinen SamiORCID, Homuth Georg, Ikram M. ArfanORCID, Isasi Carmen R.ORCID, Jonas Jost BrunoORCID, Keltikangas-Järvinen LiisaORCID, Komulainen Pirjo, Kraja Aldi T., Krieger Jose E.ORCID, Launer LenoreORCID, , Aguirre-Gamboa Raul, Deelen Patrick, Franke Lude, Kuivenhoven Jan A., Lopera Maya Esteban A., Nolte Ilja M., Sanna Serena, Snieder Harold, Swertz Morris A., Visscher Peter M., Vonk Judith M., Wijmenga Cisca, Wray Naomi, Liu JianjunORCID, Lohman Kurt, Luik Annemarie I.ORCID, Manichaikul Ani W.ORCID, Marques-Vidal PedroORCID, Milaneschi YuriORCID, Mwasongwe Stanford E., O’Connell Jeffrey R., Rice Kenneth, Rich Stephen S.ORCID, Schreiner Pamela J., Schwettmann Lars, Shikany James M., Shu Xiao-ou, Smith Jennifer A.ORCID, Snieder HaroldORCID, Sotoodehnia Nona, Tai E. ShyongORCID, Taylor Kent D.ORCID, Tinker LesleyORCID, Tsai Michael Y., Uitterlinden André G.ORCID, van Duijn Cornelia M.ORCID, van Heemst Diana, Waldenberger MelanieORCID, Wallace Robert B., Wee Hwee-Lin, Weir David R.ORCID, Wei Wen-Bin, Willems van Dijk KoORCID, Wilson Gregory, Yao Jie, Young Kristin L.ORCID, Zhang Xiaoyu, Zhao WeiORCID, Zhu XiaofengORCID, Zonderman Alan B.ORCID, Deary Ian J.ORCID, Gieger ChristianORCID, Grabe Hans Jörgen, Lakka Timo A.ORCID, Lehtimäki TerhoORCID, Oldehinkel Albertine J.ORCID, Preisig MartinORCID, Wang Ya-XingORCID, Zheng Wei, Evans Michele K., Province MichaelORCID, Gauderman James, Gudnason VilmundurORCID, Hartman Catharina A.ORCID, Horta Bernardo L.ORCID, Kardia Sharon L. R., Kooperberg CharlesORCID, Liu Ching-TiORCID, Mook-Kanamori Dennis O., Penninx Brenda WJHORCID, Pereira Alexandre C.ORCID, Peyser Patricia A.ORCID, Psaty Bruce M.ORCID, Rotter Jerome I.ORCID, Sim XuelingORCID, North Kari E.ORCID, Rao Dabeeru C., Bierut LauraORCID, Miller Clint L.ORCID, Morrison Alanna C.ORCID, Rotimi Charles N.ORCID, Fornage MyriamORCID, Fox Ervin R.
Abstract
Abstract
Serum lipid levels, which are influenced by both genetic and environmental factors, are key determinants of cardiometabolic health and are influenced by both genetic and environmental factors. Improving our understanding of their underlying biological mechanisms can have important public health and therapeutic implications. Although psychosocial factors, including depression, anxiety, and perceived social support, are associated with serum lipid levels, it is unknown if they modify the effect of genetic loci that influence lipids. We conducted a genome-wide gene-by-psychosocial factor interaction (G×Psy) study in up to 133,157 individuals to evaluate if G×Psy influences serum lipid levels. We conducted a two-stage meta-analysis of G×Psy using both a one-degree of freedom (1df) interaction test and a joint 2df test of the main and interaction effects. In Stage 1, we performed G×Psy analyses on up to 77,413 individuals and promising associations (P < 10−5) were evaluated in up to 55,744 independent samples in Stage 2. Significant findings (P < 5 × 10−8) were identified based on meta-analyses of the two stages. There were 10,230 variants from 120 loci significantly associated with serum lipids. We identified novel associations for variants in four loci using the 1df test of interaction, and five additional loci using the 2df joint test that were independent of known lipid loci. Of these 9 loci, 7 could not have been detected without modeling the interaction as there was no evidence of association in a standard GWAS model. The genetic diversity of included samples was key in identifying these novel loci: four of the lead variants displayed very low frequency in European ancestry populations. Functional annotation highlighted promising loci for further experimental follow-up, particularly rs73597733 (MACROD2), rs59808825 (GRAMD1B), and rs11702544 (RRP1B). Notably, one of the genes in identified loci (RRP1B) was found to be a target of the approved drug Atenolol suggesting potential for drug repurposing. Overall, our findings suggest that taking interaction between genetic variants and psychosocial factors into account and including genetically diverse populations can lead to novel discoveries for serum lipids.
Funder
U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases U.S. Department of Health & Human Services | NIH | Center for Information Technology U.S. Department of Health & Human Services | NIH | NIH Office of the Director U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute
Publisher
Springer Science and Business Media LLC
Reference100 articles.
1. Graham SE, Clarke SL, Wu K-HH, Kanoni S, Zajac GJM, Ramdas S, et al. The power of genetic diversity in genome-wide association studies of lipids. Nature. 2021;600:675–9. https://doi.org/10.1038/s41586-021-04064-3. 2. Hoffmann TJ, Theusch E, Haldar T, Ranatunga DK, Jorgenson E, Medina MW, et al. A large electronic-health-record-based genome-wide study of serum lipids. Nat Genet. 2018;50:401–13. https://doi.org/10.1038/s41588-018-0064-5. 3. Klarin D, Damrauer SM, Cho K, Sun YV, Teslovich TM, Honerlaw J, et al. Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program. Nat Genet. 2018;50:1514–23. https://doi.org/10.1038/s41588-018-0222-9. 4. Psaty BM, O’Donnell CJ, Gudnason V, Lunetta KL, Folsom AR, Rotter JI, et al. Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: design of prospective meta-analyses of genome-wide association studies from 5 cohorts. Circ Cardiovasc Genet. 2009;2:73–80. https://doi.org/10.1161/CIRCGENETICS.108.829747. 5. Rao DC, Sung YJ, Winkler TW, Schwander K, Borecki I, Cupples LA, et al. Multiancestry study of gene-lifestyle interactions for cardiovascular traits in 610 475 individuals from 124 cohorts: design and rationale. Circ Cardiovasc Genet. 2017;10:e001649 https://doi.org/10.1161/CIRCGENETICS.116.001649.
|
|