Integrating molecular phenotypes to decipher disease mechanisms.

Selected papers:

33Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nature Genetics. 2018

29 Integrating gene expression with summary association statistics to identify susceptibility genes for 30 complex traits. The American Journal of Human Genetics. 2017

28 Integrative approaches for large-scale transcriptome-wide association studies. Nature Genetics. 2016

Inferring trait architecture at genome scale.

Selected papers:

27 Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation. Nature communications. 2016

15 Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases. The American Journal of Human Genetics. 2014

Quantifying recent relatedness in massive cohorts.

Genomic data from hundreds of thousands of individuals is already available and growing. Can we efficiently infer the relationships between individuals using only genetic data from massive cohorts? Can we then relate these relationships to phenotype or health records to inform our understanding of disease? Do certain subpopulations have unusual phenotype effects? To what extent are these differences driven by the demography of the population, environment, or selection? This work is at the interface of efficient computational methods, population genetics, and health record informatics.

Selected papers:

02 Whole population, genome-wide mapping of hidden relatedness. Genome res. 2009

05 DASH: a method for identical-by-descent haplotype mapping uncovers association with recent variation. The American Journal of Human Genetics. 2011