Alec M. Chiu

The paper introduces MANOCCA, a method to test the effect of predictors on the covariance matrix of multivariate outcomes, showing it outperforms existing methods in simulations and identifies significant associations in real data.

The paper describes a biobank initiative that links genomic data with electronic health records to enable genome-wide and phenome-wide association studies across diverse populations.

The paper explores the relationship between genomic ancestry and health outcomes using a biobank linked to electronic health records, finding disease stratification across ancestry clusters.

SCOPE infers population structure in large genomic datasets efficiently and accurately, outperforming existing methods in speed while maintaining comparable accuracy.

The paper estimates the contribution of dominance effects to complex trait variation using biobank-scale data and finds that dominance heritability is small compared to additive heritability.

ProPCA computes principal components for large genetic datasets efficiently, identifying novel signals of recent selection in the UK Biobank.