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Part 1: Document Description
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Citation |
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Title: |
Summary statistics for "Biobank-driven genomic discovery yields new insight into atrial fibrillation biology" |
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Identification Number: |
doi:10.18710/VC2PSH |
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Distributor: |
DataverseNO |
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Date of Distribution: |
2021-06-17 |
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Version: |
1 |
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Bibliographic Citation: |
Nielsen, 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, V1 |
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Citation |
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Title: |
Summary statistics for "Biobank-driven genomic discovery yields new insight into atrial fibrillation biology" |
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Identification Number: |
doi:10.18710/VC2PSH |
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Authoring Entity: |
Nielsen, Jonas B. (NTNU – Norwegian University of Science and Technology) |
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Willer, Cristen J. (University of Michigan) |
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Producer: |
NTNU – Norwegian University of Science and Technology |
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University of Michigan |
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Software used in Production: |
METAL |
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Software used in Production: |
GCTA |
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Software used in Production: |
Plink |
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Software used in Production: |
SAIGE |
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Software used in Production: |
BOLT-LMM |
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Software used in Production: |
EPACTS |
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Software used in Production: |
Genome Analysis Toolkit |
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Software used in Production: |
DEPICT |
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Software used in Production: |
GREGOR |
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Software used in Production: |
R software pSI package |
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Software used in Production: |
Philips TraceMasterVue ECG Management System |
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Software used in Production: |
R |
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Software used in Production: |
Python |
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Software used in Production: |
BAFRegress |
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Software used in Production: |
Illumina GenomeStudio |
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Software used in Production: |
LASER |
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Software used in Production: |
Minimac |
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Software used in Production: |
SQLite |
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Distributor: |
DataverseNO |
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Distributor: |
NTNU – Norwegian University of Science and Technology |
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Access Authority: |
Gabrielsen, Maiken E. |
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Depositor: |
Tellefsen, Janne |
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Date of Deposit: |
2021-06-01 |
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Date of Distribution: |
2018-07-30 |
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Holdings Information: |
https://doi.org/10.18710/VC2PSH |
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Study Scope |
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Keywords: |
Medicine, Health and Life Sciences, Atrial fibrillation, GWAS, The Trøndelag Health Study (HUNT), Cardiac arrhythmia, Ischemic heart failure, deCODE, The Michigan Genomics Initiative (MGI), DiscovEHR, UK Biobank, The AFGen Consortium |
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Abstract: |
To 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 .tbl |
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Country: |
Norway, Iceland, United States, United Kingdom |
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Geographic Coverage: |
Trøndelag, Michigan |
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Kind of Data: |
Summary statistics (results) from GWAS analysis. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
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/s41588-018-0171-3 |
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Identification Number: |
10.1038/s41588-018-0171-3 |
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Bibliographic Citation: |
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/s41588-018-0171-3 |
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Label: |
00_README_Afib.txt |
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Notes: |
text/plain |
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Label: |
NG2018-AFib-gwas-summary-statistics.txt |
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Notes: |
text/plain |