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An overview of detecting gene-trait associations by integrating GWAS summary statistics and eQTLs.

Science China. Life sciences - 1 Jun 2024

Zhang Yang, Wang Mengyao, Li Zhenguo, Yang Xuan, Li Keqin, Xie Ao, Dong Fang, Wang Shihan, Yan Jianbing, Liu Jianxiao

Abstract excerpt

Detecting genes that affect specific traits (such as human diseases and crop yields) is important for treating complex diseases and improving crop quality. A genome-wide association study (GWAS) provides new insights and directions for understanding complex traits by identifying important single nucleotide polymorphisms. Many GWAS summary statistics data related to various complex traits have been gathered...

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PMID: 38568343
DOI: 10.1007/s11427-023-2522-8

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