{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wesseldijk LW"],"funding":["The Bank of Sweden Tercentenary Foundation","The National Institute on Deafness and Other Communication Disorders and the Office of the Director of the National Institutes of Health","NICHD NIH HHS","NIDCD NIH HHS","The Sven and Dagmar Salén Foundation and the Marcus and Amalia Wallenberg Foundation","Karolinska Institute"],"pagination":["14658"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9424203"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(1)"],"pubmed_abstract":["To further our understanding of the genetics of musicality, we explored associations between a polygenic score for self-reported beat synchronization ability (PGS<sub>rhythm</sub>) and objectively measured rhythm discrimination, as well as other validated music skills and music-related traits. Using family data, we were able to further explore potential pathways of direct genetic, indirect genetic (through passive gene-environment correlation) and confounding effects (such as population structure and assortative mating). In 5648 Swedish twins, we found PGS<sub>rhythm</sub> to predict not only rhythm discrimination, but also melody and pitch discrimination (betas between 0.11 and 0.16, p < 0.001), as well as other music-related outcomes (p < 0.05). In contrast, PGS<sub>rhythm</sub> was not "],"journal":["Scientific reports"],"pubmed_title":["Using a polygenic score in a family design to understand genetic influences on musicality."],"pmcid":["PMC9424203"],"funding_grant_id":["MAW 2018.0017","K18 DC017383","DP2 HD098859","R01DC016977","K18DC017383","M11-0451:1","R01 DC016977","DP2HD098859"],"pubmed_authors":["Shringarpure S","Poznik GD","Gandhi PM","Freyman W","Tran V","Schumacher M","Weldon CH","Bell RK","23andMe Research Team","Kukar K","Faaborg A","Lowe M","Noblin ES","Wang W","Wang X","Hernandez A","Wilton P","Shastri AJ","Fletez-Brant K","McCreight JC","Wesseldijk LW","Fuller ST","Bielenberg J","Kim JS","Abdellaoui A","Gordon RL","Bullis E","O'Connell J","Aslibekyan S","Bryc K","Petrakovitz A","Partida GC","Fontanillas P","Heilbron K","Das S","Lin KH","Mosing MA","Coker D","Shelton JF","Wong C","Auton A","Moreno ME","Petrakovitz AA","Babalola E","McIntyre MH","Nandakumar P","Filshtein T","Dhamija D","Mountain JL","Jewett EM","Micheletti SJ","Elson SL","Huang Y","Lane V","Ullen F","Tung JY","Shi J","Hicks B","Tchakoute CT"],"additional_accession":[]},"is_claimable":false,"name":"Using a polygenic score in a family design to understand genetic influences on musicality.","description":"To further our understanding of the genetics of musicality, we explored associations between a polygenic score for self-reported beat synchronization ability (PGS<sub>rhythm</sub>) and objectively measured rhythm discrimination, as well as other validated music skills and music-related traits. Using family data, we were able to further explore potential pathways of direct genetic, indirect genetic (through passive gene-environment correlation) and confounding effects (such as population structure and assortative mating). In 5648 Swedish twins, we found PGS<sub>rhythm</sub> to predict not only rhythm discrimination, but also melody and pitch discrimination (betas between 0.11 and 0.16, p < 0.001), as well as other music-related outcomes (p < 0.05). In contrast, PGS<sub>rhythm</sub> was not ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Aug","modification":"2025-04-25T18:07:47.689Z","creation":"2024-12-04T01:59:02.456Z"},"accession":"S-EPMC9424203","cross_references":{"pubmed":["36038631"],"doi":["10.1038/s41598-022-18703-w"]}}