Faculty, Staff and Student Publications

Authors

Amy R Bentley
Michael R Brown
Solomon K Musani
Karen L Schwander
Thomas W Winkler
Mario Sims
Tuomas O Kilpeläinen
Hugues Aschard
Traci M Bartz
Lawrence F Bielak
Jin-Fang Chai
Kumaraswamy Naidu Chitrala
Nora Franceschini
Mariaelisa Graff
Xiuqing Guo
Fernando P Hartwig
Andrea R V R Horimoto
Elise Lim
Yongmei Liu
Alisa K Manning
Ilja M Nolte
Raymond Noordam
Melissa A Richard
Albert V Smith
Yun Ju Sung
Dina Vojinovic
Rujia Wang
Yujie Wang
Mary F Feitosa
Sarah E Harris
Leo-Pekka Lyytikäinen
Giorgio Pistis
Rainer Rauramaa
Peter J van der Most
Erin Ware
Stefan Weiss
Wanqing Wen
Lisa R Yanek
Dan E Arking
Donna K Arnett
Christie Ballantyne
Eric Boerwinkle
Yii-Der Ida Chen
Martha L Daviglus
Lisa de Las Fuentes
Paul S de Vries
Joseph A C Delaney
Amanda M Fretts
Lynette Ekunwe
Jessica D Faul
Linda C Gallo
Sami Heikkinen
Georg Homuth
M Arfan Ikram
Carmen R Isasi
Jost Bruno Jonas
Liisa Keltikangas-Järvinen
Pirjo Komulainen
Aldi T Kraja
Jose E Krieger
Lenore Launer
Lifelines Cohort Study
Jianjun Liu
Kurt Lohman
Annemarie I Luik
Ani W Manichaikul
Pedro Marques-Vidal
Yuri Milaneschi
Stanford E Mwasongwe
Jeffrey R O'Connell
Kenneth Rice
Stephen S Rich
Pamela J Schreiner
Lars Schwettmann
James M Shikany
Xiao-Ou Shu
Jennifer A Smith
Harold Snieder
Nona Sotoodehnia
E Shyong Tai
Kent D Taylor
Lesley Tinker
Michael Y Tsai
André G Uitterlinden
Cornelia M van Duijn
Diana van Heemst
Melanie Waldenberger
Robert B Wallace
Hwee-Lin Wee
David R Weir
Wen-Bin Wei
Ko Willems van Dijk
Gregory Wilson
Jie Yao
Kristin L Young
Xiaoyu Zhang
Wei Zhao
Xiaofeng Zhu
Alan B Zonderman
Ian J Deary
Christian Gieger
Hans Jörgen Grabe
Timo A Lakka
Terho Lehtimäki
Albertine J Oldehinkel
Martin Preisig
Ya-Xing Wang
Wei Zheng
Michele K Evans
Michael Province
James Gauderman
Vilmundur Gudnason
Catharina A Hartman
Bernardo L Horta
Sharon L R Kardia
Charles Kooperberg
Ching-Ti Liu
Dennis O Mook-Kanamori
Brenda Wjh Penninx
Alexandre C Pereira
Patricia A Peyser
Bruce M Psaty
Jerome I Rotter
Xueling Sim
Kari E North
Dabeeru C Rao
Laura Bierut
Clint L Miller
Alanna C Morrison
Charles N Rotimi
Myriam Fornage
Ervin R Fox

Publication Date

6-20-2025

Journal

Translational Psychiatry

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.

Keywords

Humans, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Male, Lipids, Female, Gene-Environment Interaction, Adult, Genetic Loci, Middle Aged, Social Support

DOI

10.1038/s41398-025-03418-z

PMID

40537477

PMCID

PMC12179276

PubMedCentral® Posted Date

6-20-2025

PubMedCentral® Full Text Version

Post-print

Published Open-Access

yes

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