期刊
NATURE GENETICS
卷 50, 期 4, 页码 621-+出版社
NATURE PORTFOLIO
DOI: 10.1038/s41588-018-0081-4
关键词
-
资金
- NIH [R01 MH107649, R01 MH109978, U01 CA194393, U01 HG009379]
- Fannie and John Hertz Foundation
- Eric and Wendy Schmidt
- MRC [MC_UU_12015/2] Funding Source: UKRI
We introduce an approach to identify disease-relevant tissues and cell types by analyzing gene expression data together with genome-wide association study (GWAS) summary statistics. Our approach uses stratified linkage disequilibrium (LD) score regression to test whether disease heritability is enriched in regions surrounding genes with the highest specific expression in a given tissue. We applied our approach to gene expression data from several sources together with GWAS summary statistics for 48 diseases and traits (average N = 169,331) and found significant tissue-specific enrichments (false discovery rate (FDR) < 5%) for 34 traits. In our analysis of multiple tissues, we detected a broad range of enrichments that recapitulated known biology. In our brain-specific analysis, significant enrichments included an enrichment of inhibitory over excitatory neurons for bipolar disorder, and excitatory over inhibitory neurons for schizophrenia and body mass index. Our results demonstrate that our polygenic approach is a powerful way to leverage gene expression data for interpreting GWAS signals.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据