000147145 001__ 147145 000147145 005__ 20241212141913.0 000147145 0247_ $$2doi$$a10.1038/s41467-024-53594-7 000147145 0248_ $$2sideral$$a140917 000147145 037__ $$aART-2024-140917 000147145 041__ $$aeng 000147145 100__ $$aBurns, Richard 000147145 245__ $$aGenetic basis of right and left ventricular heart shape 000147145 260__ $$c2024 000147145 5060_ $$aAccess copy available to the general public$$fUnrestricted 000147145 5203_ $$aHeart shape captures variation in cardiac structure beyond traditional phenotypes of mass and volume. Although observational studies have demonstrated associations with cardiometabolic risk factors and diseases, its genetic basis is less understood. We utilised cardiovascular magnetic resonance images from 45,683 UK Biobank participants to construct a heart shape atlas from bi-ventricular end-diastolic surface mesh models through principal component (PC) analysis. Genome-wide association studies were performed on the first 11 PCs that captured 83.6% of shape variance. We identified 43 significant loci, 14 were previously unreported for cardiac traits. Genetically predicted PCs were associated with cardiometabolic diseases. In particular two PCs (2 and 3) linked with more spherical ventricles being associated with increased risk of atrial fibrillation. Our study explores the genetic basis of multidimensional bi-ventricular heart shape using PCA, reporting new loci and biology, as well as polygenic risk scores for exploring genetic relationships of heart shape with cardiometabolic diseases. 000147145 536__ $$9info:eu-repo/grantAgreement/EC/H2020/786833/EU/GENetics and the Electrocardiogram for predicting Scd rISk/GENESIS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 786833-GENESIS$$9info:eu-repo/grantAgreement/EC/H2020/825903 /EU/An EU-Canada joint infrastructure for next-generation multi-Study Heart research/euCanSHare$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 825903 -euCanSHare$$9info:eu-repo/grantAgreement/ES/MICINN/RYC2021-031413-I 000147145 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000147145 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000147145 700__ $$aYoung, William J. 000147145 700__ $$aAung, Nay 000147145 700__ $$aLopes, Luis R. 000147145 700__ $$aElliott, Perry M. 000147145 700__ $$aSyrris, Petros 000147145 700__ $$aBarriales-Villa, Roberto 000147145 700__ $$aSohrabi, Catrin 000147145 700__ $$aPetersen, Steffen E. 000147145 700__ $$0(orcid)0000-0003-4130-5866$$aRamírez, Julia$$uUniversidad de Zaragoza 000147145 700__ $$aYoung, Alistair 000147145 700__ $$aMunroe, Patricia B. 000147145 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac. 000147145 773__ $$g15, 1 (2024), 17 pp.$$tNature communications$$x2041-1723 000147145 8564_ $$s6985030$$uhttps://zaguan.unizar.es/record/147145/files/texto_completo.pdf$$yVersión publicada 000147145 8564_ $$s2598271$$uhttps://zaguan.unizar.es/record/147145/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000147145 909CO $$ooai:zaguan.unizar.es:147145$$particulos$$pdriver 000147145 951__ $$a2024-12-12-12:43:49 000147145 980__ $$aARTICLE