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  1. Article

    Open Access

    A clustering linear combination method for multiple phenotype association studies based on GWAS summary statistics

    There is strong evidence showing that joint analysis of multiple phenotypes in genome-wide association studies (GWAS) can increase statistical power when detecting the association between genetic variants and ...

    Meida Wang, Xuewei Cao, Shuanglin Zhang, Qiuying Sha in Scientific Reports (2023)

  2. Article

    Open Access

    Memristor-based analogue computing for brain-inspired sound localization with in situ training

    The human nervous system senses the physical world in an analogue but efficient way. As a crucial ability of the human brain, sound localization is a representative analogue computing task and often employed i...

    Bin Gao, Ying Zhou, Qingtian Zhang, Shuanglin Zhang, Peng Yao in Nature Communications (2022)

  3. Article

    Open Access

    Gene-based association tests using GWAS summary statistics and incorporating eQTL

    Although genome-wide association studies (GWAS) have been successfully applied to a variety of complex diseases and identified many genetic variants underlying complex diseases via single marker tests, there i...

    Xuewei Cao, Xuexia Wang, Shuanglin Zhang, Qiuying Sha in Scientific Reports (2022)

  4. Article

    Open Access

    Joint Analysis of Multiple Phenotypes in Association Studies based on Cross-Validation Prediction Error

    In genome-wide association studies (GWAS), joint analysis of multiple phenotypes could have increased statistical power over analyzing each phenotype individually to identify genetic variants that are associat...

    **nlan Yang, Shuanglin Zhang, Qiuying Sha in Scientific Reports (2019)

  5. Article

    Open Access

    A Nonparametric Regression Approach to Control for Population Stratification in Rare Variant Association Studies

    Recently, there is increasing interest to detect associations between rare variants and complex traits. Rare variant association studies usually need large sample sizes due to the rarity of the variants, and l...

    Qiuying Sha, Kui Zhang, Shuanglin Zhang in Scientific Reports (2016)

  6. Article

    Open Access

    An Adaptive Fisher’s Combination Method for Joint Analysis of Multiple Phenotypes in Association Studies

    Currently, the analyses of most genome-wide association studies (GWAS) have been performed on a single phenotype. There is increasing evidence showing that pleiotropy is a widespread phenomenon in complex dise...

    **aoyu Liang, Zhenchuan Wang, Qiuying Sha, Shuanglin Zhang in Scientific Reports (2016)