James R Staley

The paper identifies age-dependent methylation quantitative trait loci (longitudinal mQTLs) across the lifespan using blood DNAm data from two cohorts, finding consistent genotype-by-age effects and associations with multiple phenotypes.

The paper introduces a robust statistical test for detecting associations with both mean and variability in high-dimensional phenotypes, applied to DNA methylation data.

This paper introduces HyPrColoc, a Bayesian algorithm for multi-trait colocalization using GWAS summary statistics, identifying 43 regions where coronary heart disease colocalizes with other traits.

The paper investigates whether reduced sclerostin expression is linked to cardiovascular events by analyzing genetic variants and immunohistochemical data from atherosclerotic plaques.

This paper uses Mendelian randomization and colocalization to identify causal relationships between plasma proteins and disease phenotypes, finding 111 putatively causal effects.

This paper introduces a robust MR method that identifies groups of genetic variants with similar causal effects, showing it outperforms existing methods in accuracy and speed for HDL-cholesterol and CHD analysis.

Combining nearby CpG summary statistics by inverse-variance weighted meta-analysis holds false positives at the nominal level where comb-p and DMRcate inflate, and supports multi-cohort meta-analysis.

The paper identifies 1,927 genetic associations with 1,478 plasma proteins using 10.6 million DNA variants and 3,301 individuals, revealing new drug targets and safety concerns.

This paper introduces two semiparametric IV methods to estimate non-linear exposure-outcome relationships in Mendelian randomization and applies them to study BMI's effect on blood pressure.