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Article

DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies.

Biostatistics (Oxford, England) - 15 Apr 2024

He Ruoyu, Liu Mingyang, Lin Zhaotong, Zhuang Zhong, Shen Xiaotong, Pan Wei

Abstract excerpt

Transcriptome-wide association studies (TWAS) have been increasingly applied to identify (putative) causal genes for complex traits and diseases. TWAS can be regarded as a two-sample two-stage least squares method for instrumental variable (IV) regression for causal inference. The standard TWAS (called TWAS-L) only considers a linear relationship between a gene's expression and a trait in stage 2, which may lose...

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PMID: 36610078
DOI: 10.1093/biostatistics/kxac051
PMCID: PMC11017120

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