Published in Cell Genomics, 2023
We develop an extension of canonical correlation analysis to multiple datasets that allows for simultaneous inference of shared and private structure in multi-modal data.
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Published in American Journal of Human Genetics, 2021
We consider the problem of phenome-scale estimation of causal effects in the presence of genetic confounders.
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Published in PLoS Genetics, 2018
We apply canonical correlation analysis to principal components of genotype and expression, revealing under-appreciate population structure in expression data.
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Published in American Journal of Human Genetics, 2016
We consider the cross-population genetic correlation and use it to show that complex trait genetic effect sizes can vary substantially across populations throughout the genome.
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