Article
A conditional gene-based association framework integrating isoform-level eQTL data reveals new susceptibility genes for schizophrenia.
eLife - 12 Apr 2022
Li Xiangyi, Jiang Lin, Xue Chao, Li Mulin Jun, Li Miaoxin
Abstract excerpt
Linkage disequilibrium and disease-associated variants in the non-coding regions make it difficult to distinguish the truly associated genes from the redundantly associated genes for complex diseases. In this study, we proposed a new conditional gene-based framework called eDESE that leveraged an improved effective chi-squared statistic to control the type I error rates and remove the redundant associations....
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