生命银行
SNP公司
全基因组关联研究
单核苷酸多态性
关联测试
遗传关联
遗传学
汇总统计
基因
基因组
生物
联想(心理学)
计算生物学
表型
统计
心理学
基因型
数学
心理治疗师
作者
Takiy Berrandou,David J. Balding,Doug Speed
标识
DOI:10.1101/2022.07.01.22277161
摘要
ABSTRACT We present LDAK-GBAT, a novel tool for gene-based association testing using summary statistics from genome-wide association studies. We first evaluate LDAK-GBAT using ten phenotypes from the UK Biobank. We show that LDAK-GBAT is computationally efficient, taking approximately 30 minutes to analyze imputed data (2.9M common, genic SNPs), and requiring less than 10Gb memory. In total, LDAK-GBAT finds 680 genome-wide significant genes ( P ≤2.8×10 −6 ), which is at least 25% more than each of five existing tools (MAGMA, GCTA-fastBAT, sumFREGAT-SKAT-O, sumFREGAT-PCA and sumFREGAT-ACAT), and 48% more than found by single-SNP analysis. We then analyze 99 additional phenotypes from the UK Biobank, the Million Veterans Project and the Psychiatric Genetics Consortium. In total, LDAK-GBAT finds 7957 significant genes, which is at least 24% more than the best existing tools, and 42% more than found by single-SNP analysis.
科研通智能强力驱动
Strongly Powered by AbleSci AI