Machine learning-based marker for coronary artery disease identifies rare coding variants in 17 genes.

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.本数据集针对604914名携带有冠状动脉疾病计算机模拟评分（in-silico score for coronary artery disease，ISCAD）的个体，对其外显子组序列中罕见编码变异的变异水平与基因水平关联进行分析，所得结果以汇总统计形式呈现。 所有染色体位置均已比对至GRCh38（hg38）人类基因组参考序列。 效应方向依次对应英国生物库（UK Biobank）、我们所有人研究计划（All of Us Research Program）、BioMe生物库样本1与BioMe生物库样本2中的关联结果。