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open access

A novel statistical method for rare-variant association studies in general pedigrees

Description: In this paper, the authors discuss a novel statistical method for rare-variant association studies in general pedigrees for quantitative traits. This method uses a retrospective view that treats the traits as fixed and the genotypes as random, which accounts for complex and undefined ascertainment of families.
Date: October 18, 2016
Creator: Zhu, Huanhuan; Wang, Zhenchuan; Wang, Xuexia & Sha, Qiuying
Partner: UNT College of Arts and Sciences
open access

Testing gene-environment interactions for rare and/or common variants in sequencing association studies

Description: Article describes study in which novel approaches to test the effects of gene-environment (GE) interactions of rare and/or common risk, and/or protective variants in sequencing association studies were developed.
Date: March 10, 2020
Creator: Zhao, Zihan; Zhang, Jianjun; Sha, Qiuying & Hao, Han
Partner: UNT College of Science
open access

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

Description: Article proposes a powerful and computationally efficient gene-based association test, called Overall. Using extended Simes procedure, Overall aggregates information from three types of traditional gene-based association tests and also incorporates expression quantitative trait locus (eQTL) information into a gene-based association test using GWAS summary statistics. The results show that this newly developed method can identify more significant genes than other methods.
Date: March 3, 2022
Creator: Cao, Xuwei; Wang, Xuexia; Zhang, Shuanglin & Sha, Qiuying
Partner: UNT College of Science
open access

A gene based approach to test genetic association based on an optimally weighted combination of multiple traits

Description: In this article, the authors propose a statistical method by Testing an Optimally Weighted Combination of Multiple traits (TOW-CM) to test the association between multiple traits and multiple variants in a genomic region (a gene or pathway). They investigate the performance of the proposed method through extensive simulation studies. Their simulation studies show that the proposed method has correct type I error rates and is either the most powerful test or comparable with the most powerful tes… more
Date: August 9, 2019
Creator: Zhang, Jianjun; Sha, Qiuying; Liu, Guanfu & Wang, Xuexia
Partner: UNT College of Science
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