Cathy C. Laurie

The paper develops genetic predictors of plasma protein abundance in diverse populations and demonstrates their utility in proteome-wide association studies (PWAS) for complex traits.

The paper describes a system for harmonizing phenotype data across multiple studies in the TOPMed program, enabling reproducible and shared phenotype data for over 80 studies.

This study conducts a GWAS on QRS duration in Hispanic/Latino populations, identifying two new loci and confirming most previously known SNPs.

The paper introduces a fully-adjusted two-stage method for rank normalization in genetic association studies to reduce Type I errors and improve power by adjusting for covariates in both stages.

The paper introduces SMMAT, a variant-set mixed model association test for continuous and binary traits in large-scale WGS studies, showing it controls type I error rates and applies to population structured and related samples.

This study identifies 93 genetic loci associated with kidney function across four ancestry groups and highlights causal effects on kidney-related diseases.

The paper conducts a GWAS in non-European populations, identifies new genetic loci, and highlights the importance of diverse cohorts for understanding complex traits.

This study identifies over 50 new genetic loci associated with pulmonary function through a multiethnic meta-analysis of 90,715 individuals.

The paper assesses genomic coverage of various genotyping arrays using imputation and the 1000 Genomes Project, finding that coverage increases with density and population-specific arrays may outperform denser arrays in targeted populations.

The paper describes an integrated computing and tracking system for high-throughput genetic analysis, demonstrating its utility in reproducible research with large, restricted data.