Education
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Post-doc Population Genomics, Stanford University 2010
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Ph.D. Computational Genomics, University of Hong Kong 2006
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M.S. Biotechnology, University of New South Wales 2001
Scholarly Interests
Our research focuses on elucidation of genotype-phenotype relationships using computational and evolutionary genomics approaches. We develop computational tools and statistical tests to estimate key parameters of evolutionary processes that shape the sequence and expression variability within and between individuals, populations, and species. We apply theories to genomic diversity and divergence data in order to search for the signatures of selection in the genomes of different organisms.
Publications
Epistasis and destabilizing mutations shape gene expression variability in humans via distinct modes of action
Yang E, Wang G, Yang J, Zhou B, Tian Y, Cai JJ
Hum Mol Genet.
2016
Aging Shapes the Population-Mean and -Dispersion of Gene Expression in Human Brains
Brinkmeyer-Langford CL, Guan J, Ji G, Cai JJ
Front Aging Neurosci.
2016
8:183.
Genome-wide association study to identify potential genetic modifiers in a canine model for Duchenne muscular dystrophy
Brinkmeyer-Langford C, Balog-Alvarez C, Cai JJ, Davis BW, Kornegay JN
BMC Genomics.
2016
17:665.
Exploiting aberrant mRNA expression in autism for gene discovery and diagnosis
Guan J, Yang E, Yang J, Zeng Y, Ji G, Cai JJ
Hum Genet.
2016
135(7):797-811.
The lncRNA RZE1 Controls Cryptococcal Morphological Transition
Chacko N, Zhao Y, Yang E, Wang L, Cai JJ, Lin X
PLoS Genet.
2015
11(11):e1005692.
Aberrant gene expression in humans
Zeng Y, Wang G, Yang E, Ji G, Brinkmeyer-Langford CL, Cai JJ
PLoS Genet.
2015
11(1):e1004942.
Gene expression responses of threespine stickleback to salinity: implications for salt-sensitive hypertension
Wang G, Yang E, Smith KJ, Zeng Y, Ji G, Connon R, Fangue NA, Cai JJ
Frontiers in Genetics.
2014
5(5):312.
