Methods and Results From the Genome-Wide Association Group at Genetic Analysis Workshop 20 (open access)

Methods and Results From the Genome-Wide Association Group at Genetic Analysis Workshop 20

This article summarizes the contributions from the Genome-wide Association Study group (GWAS group) of the GAW20. The GWAS group contributions focused on topics such as association tests, phenotype imputation, and application of empirical kinships. This summary article reports on promising statistical approaches and findings of the members of the GWAS group applied on real and simulated data which encompass the current topics of epigenetic and pharmacogenomics.
Date: September 17, 2018
Creator: Wang, Xuexia; Boekstegers, Felix & Brinster, Regina
Object Type: Article
System: The UNT Digital Library
TS: A powerful truncated test to detect novel disease associated genes using publicly available gWAS summary data (open access)

TS: A powerful truncated test to detect novel disease associated genes using publicly available gWAS summary data

This article proposes a new truncated statistic method (TS) by utilizing a truncated method to find the genes that have a true contribution to the genetic association. The proposed truncated statistic outperforms existing methods. It can be employed to detect novel traits associated genes using GWAS summary data.
Date: May 4, 2020
Creator: Zhang, Jianjun; Guo, Xuan; Gonzales, Samantha; Yang, Jingjing & Wang, Xuexia
Object Type: Article
System: The UNT Digital Library
Adjustment for Local Ancestry in Genetic Association Analysis of Admixed Populations captions transcript

Adjustment for Local Ancestry in Genetic Association Analysis of Admixed Populations

Presentation on the consideration of local ancestry of admixed populations, or populations comprised of genetically distinct ancestral populations which can alter their gene flow in unique ways. It was presented at the UNT Transdisciplinary Conference on Ancestral Genomics Research which was held virtually on November 20-21, 2020.
Date: November 21, 2020
Creator: Wang, Xuexia
Object Type: Video
System: The UNT Digital Library
Traffic generated emissions alter the lung microbiota by promoting the expansion of Proteobacteria in C57Bl/6 mice placed on a high-fat diet (open access)

Traffic generated emissions alter the lung microbiota by promoting the expansion of Proteobacteria in C57Bl/6 mice placed on a high-fat diet

Article investigating exposure to traffic-generated emissions and the potential to alter lung microbiota and immune defenses. Results show that the combined effects of ME and HF diet result in decreased immune surveillance and lung bacterial dysbiosis, which is of significance in lung diseases.
Date: April 15, 2021
Creator: Daniel, Sarah; Pusadkar, Vaidehi; McDonald, Jacob D.; Mirpuri, Julie; Azad, Rajeev K.; Goven, Art et al.
Object Type: Article
System: The UNT Digital Library