Aller au contenu principal
Accès ouvert déclaré 2025 article

Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids

0Citations signalées — pas une note de qualité
86Institutions déclarées
15Pays d’affiliation déclarés

Résumé fourni par la source

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.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

Contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids
Date Crossref
20/06/2025
Éditeur
Springer Science and Business Media LLC
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.

Institutions déclarées

National Human Genome Research InstituteThe University of Texas Health Science Center at HoustonKenya Seed Company (Kenya)Washington University in St. LouisUniversity of RegensburgUniversity of California, RiversideBroad InstituteUniversity of CopenhagenNovo Nordisk FoundationFoundation CenterNovo Nordisk (United States)Harvard UniversityInstitut PasteurUniversité Paris CitéUniversity of WashingtonUniversity of MichiganNational University Health SystemUniversity of HoustonUniversity of North Carolina at Chapel HillUCLA Medical CenterHarbor–UCLA Medical CenterUniversidade Federal de PelotasUniversidade de São PauloBoston UniversityDuke UniversityMassachusetts General HospitalUniversity Medical Center GroningenUniversity of GroningenLeiden University Medical CenterBaylor College of MedicineErasmus MCIQVIA (United Kingdom)IQVIA (United States)King's College LondonBeijing Tongren HospitalCapital Medical UniversityNHS LothianUniversity of EdinburghTampere UniversityFimlab (Finland)University of LausanneUniversitätsmedizin GreifswaldGerman Centre for Cardiovascular ResearchVanderbilt University Medical CenterJohns Hopkins UniversityJohns Hopkins MedicineUniversity of South CarolinaHouston MethodistUniversity of Illinois Urbana-ChampaignUniversity of Illinois ChicagoOffice of Minority HealthInstitute for Medical Informatics and BiostatisticsUniversity of ManitobaJackson Memorial HospitalUniversity of Mississippi Medical CenterSan Diego State UniversityUniversity of Eastern FinlandAlbert Einstein College of MedicineInstitute of Molecular and Clinical Ophthalmology BaselUniversity of HelsinkiNational Institute on AgingAgency for Science, Technology and ResearchGenome Institute of SingaporeUniversity of VirginiaAmsterdam NeuroscienceBureau Veritas (France)University of Maryland, BaltimoreUniversity of MinnesotaThe University of QueenslandCarl von Ossietzky Universität OldenburgHelmholtz MunichUniversity of Alabama at BirminghamUniversity of Washington Applied Physics LaboratoryFred Hutch Cancer CenterUniversity of OxfordUniversity of IowaJackson State UniversityCase Western Reserve UniversityDeutsches Diabetes-Zentrum e.V.German Center for Diabetes ResearchHeinrich Heine University DüsseldorfGerman Center for Neurodegenerative DiseasesKuopio University HospitalUniversity of Southern CaliforniaUniversity of IcelandIcelandic Heart Association

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Sujets associés

Genetic Associations and EpidemiologyBirth, Development, and HealthNutrition, Genetics, and Disease

BNTIC News n’est pas le producteur de ces données. Recherche à la demande dans Crossref et Europe PMC, sans clé ; OpenAlex reste optionnel. Aucun service payant requis, aucune réponse conservée. Sources et limites.