TY - JOUR
T1 - Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids
AU - Lifelines Cohort Study
AU - Bentley, Amy R.
AU - Brown, Michael R.
AU - Musani, Solomon K.
AU - Schwander, Karen L.
AU - Winkler, Thomas W.
AU - Sims, Mario
AU - Kilpeläinen, Tuomas O.
AU - Aschard, Hugues
AU - Bartz, Traci M.
AU - Bielak, Lawrence F.
AU - Chai, Jin Fang
AU - Chitrala, Kumaraswamy Naidu
AU - Franceschini, Nora
AU - Graff, Mariaelisa
AU - Guo, Xiuqing
AU - Hartwig, Fernando P.
AU - Horimoto, Andrea R.V.R.
AU - Lim, Elise
AU - Liu, Yongmei
AU - Manning, Alisa K.
AU - Nolte, Ilja M.
AU - Noordam, Raymond
AU - Richard, Melissa A.
AU - Smith, Albert V.
AU - Sung, Yun Ju
AU - Vojinovic, Dina
AU - Wang, Rujia
AU - Wang, Yujie
AU - Feitosa, Mary F.
AU - Harris, Sarah E.
AU - Lyytikäinen, Leo Pekka
AU - Pistis, Giorgio
AU - Rauramaa, Rainer
AU - van der Most, Peter J.
AU - Ware, Erin
AU - Weiss, Stefan
AU - Wen, Wanqing
AU - Yanek, Lisa R.
AU - Arking, Dan E.
AU - Arnett, Donna K.
AU - Ballantyne, Christie
AU - Boerwinkle, Eric
AU - Chen, Yii Der Ida
AU - Daviglus, Martha L.
AU - de las Fuentes, Lisa
AU - de Vries, Paul S.
AU - Delaney, Joseph A.C.
AU - Fretts, Amanda M.
AU - Schreiner, Pamela J.
AU - Tsai, Michael Y.
N1 - Publisher Copyright:
© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2025.
PY - 2025/12
Y1 - 2025/12
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105009657224
UR - https://www.scopus.com/pages/publications/105009657224#tab=citedBy
U2 - 10.1038/s41398-025-03418-z
DO - 10.1038/s41398-025-03418-z
M3 - Article
C2 - 40537477
AN - SCOPUS:105009657224
SN - 2158-3188
VL - 15
JO - Translational psychiatry
JF - Translational psychiatry
IS - 1
M1 - 207
ER -