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American Journal of Human Genetics|January 10, 2025
Multivariate proteome-wide association study to identify causal proteins for Alzheimer diseaseLei Fang, Haoran Xue, Zhaotong Lin, et al.Plos Genetics|April 22, 2024
Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomizationPeiyao Wang, Zhaotong Lin, Haoran Xue, et al.Genetic Epidemiology|August 13, 2023
Inference of causal metabolite networks in the presence of invalid instrumental variables with GWAS summary dataSiyi Chen, Zhaotong Lin, Xiaotong Shen, et al.HGG Advances|May 14, 2023
Using GWAS summary data to impute traits for genotyped individualsJingchen Ren, Zhaotong Lin, Ruoyu He, et al.Statistical Analysis and Data Mining|May 8, 2026
Extracting Genetically-Imputed Causal Features From ECG DataYuchen Yao, Zhaotong Lin, Xiaotong Shen, et al.Human Molecular Genetics|January 19, 2022
Accounting for nonlinear effects of gene expression identifies additional associated genes in transcriptome-wide association studiesZhaotong Lin, Haoran Xue, Mykhaylo M Malakhov, et al.Biostatistics (Oxford, England)|January 7, 2023
DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studiesRuoyu He, Mingyang Liu, Zhaotong Lin, et al.HGG Advances|August 4, 2024
A novel framework with automated horizontal pleiotropy adjustment in mendelian randomizationZhaotong LinResearch Square|November 19, 2025
scTWAS: A powerful statistical framework for single-cell transcriptome-wide association studiesZhaotong Lin, Chang SuNature Communications|March 13, 2026
scTWAS: a powerful statistical framework for single-cell transcriptome-wide association studiesZhaotong Lin, Chang SuPageof 272