Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery disease

*.sh and *.R are codes to test rare coding variants for association with ISCAD. Petrazzini_etal_2024_*_level_meta_analysis.txt.gz are summary statistics of variant- and gene-level associations of rare coding variants in the exome sequences of 604,914 individuals with an in-silico score for coronary...

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Hauptverfasser: Petrazzini, Ben Omega, Forrest, Iain, Rocheleau, Ghislain, Vy, Ha My, Marquez, Carla, Duffy, Aine, Chen, Robert, Park, Joshua K., Gibson, Kyle, Goonewardena, Sascha, Malick, Waqas, Rosenson, Robert, Jordan, Daniel M., Do, Ron
Format: Dataset
Sprache:eng
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Zusammenfassung:*.sh and *.R are codes to test rare coding variants for association with ISCAD. Petrazzini_etal_2024_*_level_meta_analysis.txt.gz are summary statistics of variant- and gene-level associations of rare coding variants in the exome sequences of 604,914 individuals with an in-silico score for coronary artery disease (ISCAD). Chromosomal positions are mapped to the GRCh38 (hg38) human genome reference. Directions of effect correspond to associations in the UK Biobank, the All of Us Research Program, the BioMe Biobank sample 1 and the BioMe Biobank sample 2, in that order.
DOI:10.5281/zenodo.10642255