Qiuying Sha, Ph.D.
Affiliations: | 2005 | Michigan Technological University, USA |
Area:
Statistics, Biostatistics BiologyGoogle:
"Qiuying Sha"Parents
Sign in to add mentorJianping Dong | grad student | 2005 | Michigan Technological University | |
(Multi-locus association tests for detecting complex disease genes.) |
Children
Sign in to add traineeAdan Niu | grad student | 2010 | Michigan Technological University |
Shurong Fang | grad student | 2013 | Michigan Technological University |
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Publications
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Xie H, Cao X, Zhang S, et al. (2023) Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies using multi-layer network. Bioinformatics (Oxford, England) |
Wang M, Cao X, Zhang S, et al. (2023) A clustering linear combination method for multiple phenotype association studies based on GWAS summary statistics. Scientific Reports. 13: 3389 |
Xie H, Cao X, Zhang S, et al. (2023) Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies. Genetic Epidemiology. 47: 185-197 |
Cao X, Liang X, Zhang S, et al. (2022) Gene selection by incorporating genetic networks into case-control association studies. European Journal of Human Genetics : Ejhg |
Liang X, Cao X, Sha Q, et al. (2022) HCLC-FC: A novel statistical method for phenome-wide association studies. Plos One. 17: e0276646 |
Yan S, Sha Q, Zhang S. (2022) Gene-Based Association Tests Using New Polygenic Risk Scores and Incorporating Gene Expression Data. Genes. 13 |
Yan S, Sha Q, Zhang S. (2022) Control for population stratification in genetic association studies based on GWAS summary statistics. Genetic Epidemiology |
Wang M, Zhang S, Sha Q. (2022) A computationally efficient clustering linear combination approach to jointly analyze multiple phenotypes for GWAS. Plos One. 17: e0260911 |
Cao X, Wang X, Zhang S, et al. (2022) Gene-based association tests using GWAS summary statistics and incorporating eQTL. Scientific Reports. 12: 3553 |
Gao C, Sha Q, Zhang S, et al. (2020) MF-TOWmuT: Testing an optimally weighted combination of common and rare variants with multiple traits using family data. Genetic Epidemiology |