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Brian Jo

About

Brian is a Ph.D. candidate in Statistical Genetics under the mentorship of Barbara Engelhardt, and is part of the Graduate Program in Quantitative and Computational Biology at Princeton University. Brian works with the human genome and transcriptome, and is a contributor to the Genotype-Tissue Expression (GTEx) consortium.

Research Interests

Brian is primariliy pursuing the following research directions, all of which are inter-related:

Main publications

Genetic effects on gene expression across human tissues - one of the main contributors for distal eQTLs

The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body. This work describes the genetic effects on gene expression levels across 44 human tissue, and finds that local genetic variation affects gene expression levels for the majority of genes. This work further identifies inter-chromosomal genetic effects for 93 genes and 112 loci, and 673 distal eQTLs across 18 tissues (10% FDR). On the basis of the identified genetic effects, this work also characterizes patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of disease.


(Abstract) Distant regulatory effects of genetic variation in multiple human tissues

Abstract version of the above publication.


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