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Frontiers in Genetics|July 2, 2021
Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank DataWenjian Bi, Seunggeun Lee
Methods (San Diego, Calif.)|May 28, 2018
Statistical selection of biological models for genome-wide association analysesWenjian Bi, Guolian Kang, Stanley B Pounds
Nature Communications|March 29, 2025
Efficient and accurate framework for genome-wide gene-environment interaction analysis in large-scale biobanksYuzhuo Ma, Yanlong Zhao, Ji-Feng Zhang, et al.
American Journal of Human Genetics|June 27, 2020
A Fast and Accurate Method for Genome-Wide Time-to-Event Data Analysis and Its Application to UK BiobankWenjian Bi, Lars G Fritsche, Bhramar Mukherjee, et al.
American Journal of Human Genetics|April 5, 2023
Scalable mixed model methods for set-based association studies on large-scale categorical data analysis and its application to exome-sequencing data in UK BiobankWenjian Bi, Wei Zhou, Peipei Zhang, et al.
Progress in Neuro-Psychopharmacology & Biological Psychiatry|January 23, 2014
A hypothesis-driven pathway analysis reveals myelin-related pathways that contribute to the risk of schizophrenia and bipolar disorderHao Yu, Wenjian Bi, Chenxing Liu, et al.
American Journal of Human Genetics|April 9, 2021
Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypesWenjian Bi, Wei Zhou, Rounak Dey, et al.
American Journal of Human Genetics|December 24, 2019
UK Biobank Whole-Exome Sequence Binary Phenome Analysis with Robust Region-Based Rare-Variant TestZhangchen Zhao, Wenjian Bi, Wei Zhou, et al.
Biostatistics (Oxford, England)|July 15, 2018
STEPS: an efficient prospective likelihood approach to genetic association analyses of secondary traits in extreme phenotype sequencingWenjian Bi, Yun Li, Matthew P Smeltzer, et al.
American Journal of Human Genetics|November 19, 2019
A Fast and Accurate Method for Genome-wide Scale Phenome-wide G × E Analysis and Its Application to UK BiobankWenjian Bi, Zhangchen Zhao, Rounak Dey, et al.
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