Identifying Target Genes for Regulatory Variants Through Genomic Data Integration

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Jordan Hughey, Dept of Bioinformatics and Genomics Pennsylvania State University Huck Institutes for Biosciences
Abstract
Modern genomic datasets often gather a multitude of biological measures, including DNA genotypes, RNA expression as well as epigenetic information. This talk will focus on Hughey’s doctoral research on the integration of functional genomics data to understand genotype-phenotype associations found in genome-wide association studies (GWAS).  Integrative genomic studies hold great promise to reveal mechanisms for disease. Due to the majority of GWAS implicated variants falling into non-coding regions, Hughey’s project looks to integrate functional data and develop models to investigate the effect of regulatory variants on gene expression as well as human complex traits, such as substance use and addiction.  
Biography
This talk will focus on Hughey’s doctoral research in the Dajiang Liu Group on the integration of functional genomics data to understand genotype-phenotype associations found in genome wide association studies (GWAS).
All are welcome to join us for this Pathways to Careers in Genomics talk. Discussion to follow.
To accommodate a disability, please contact Ben Coffey at the UC Santa Cruz Genomics Institute (becoffey@ucsc.edu, 831-459-1477).
Sponsored by the Genomics Institute Office of Diversity
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Last modified: Nov 21, 2019