Summary statistics for "Biobank-driven genomic discovery yields new insight into atrial fibrillation biology"doi:10.18710/VC2PSHDataverseNO2021-06-171Nielsen, Jonas B.; Willer, Cristen J., 2021, "Summary statistics for "Biobank-driven genomic discovery yields new insight into atrial fibrillation biology"", https://doi.org/10.18710/VC2PSH, DataverseNO, V1Summary statistics for "Biobank-driven genomic discovery yields new insight into atrial fibrillation biology"doi:10.18710/VC2PSHNielsen, Jonas B.Willer, Cristen J.NTNU – Norwegian University of Science and TechnologyUniversity of MichiganMETALGCTAPlinkSAIGEBOLT-LMMEPACTSGenome Analysis ToolkitDEPICTGREGORR software pSI packagePhilips TraceMasterVue ECG Management SystemRPythonBAFRegressIllumina GenomeStudioLASERMinimacSQLiteDataverseNONTNU – Norwegian University of Science and TechnologyGabrielsen, Maiken E.Tellefsen, Janne2021-06-012018-07-30Medicine, Health and Life SciencesAtrial fibrillationGWASThe Trøndelag Health Study (HUNT)Cardiac arrhythmiaIschemic heart failuredeCODEThe Michigan Genomics Initiative (MGI)DiscovEHRUK BiobankThe AFGen ConsortiumTo identify genetic variation underlying atrial fibrillation, the most common cardiac arrhythmia, we performed a genome-wide association study of >1,000,000 people, including 60,620 atrial fibrillation cases and 970,216 controls. We identified 142 independent risk variants at 111 loci and prioritized 151 functional candidate genes likely to be involved in atrial fibrillation. Many of the identified risk variants fall near genes where more deleterious mutations have been reported to cause serious heart defects in humans (GATA4, MYH6, NKX2-5, PITX2, TBX5)1, or near genes important for striated muscle function and integrity (for example, CFL2, MYH7, PKP2, RBM20, SGCG, SSPN). Pathway and functional enrichment analyses also suggested that many of the putative atrial fibrillation genes act via cardiac structural remodeling, potentially in the form of an ‘atrial cardiomyopathy’2, either during fetal heart development or as a response to stress in the adult heart. The data format is .tblNorwayIcelandUnited StatesUnited KingdomTrøndelagMichiganSummary statistics (results) from GWAS analysis.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>Nielsen, J.B., Thorolfsdottir, R.B., Fritsche, L.G. et al. Biobank-driven genomic discovery yields new insight into atrial fibrillation biology. Nat Genet 50, 1234–1239 (2018). https://doi.org/10.1038/s41588-018-0171-310.1038/s41588-018-0171-3Nielsen, J.B., Thorolfsdottir, R.B., Fritsche, L.G. et al. Biobank-driven genomic discovery yields new insight into atrial fibrillation biology. Nat Genet 50, 1234–1239 (2018). https://doi.org/10.1038/s41588-018-0171-300_README_Afib.txttext/plainNG2018-AFib-gwas-summary-statistics.txttext/plain