Yunling Shi

The paper describes methylation profiling in the Million Veteran Program, identifies smoking-associated epigenetic signatures, and reports novel probe-smoking associations through ancestry-stratified EWAS.

The paper identifies twelve novel genetic risk loci for lung cancer subtypes through multi-ancestry GWAS and shows smoking-independent genetic risk.

Population-stratified GWAS of 2,068 traits in 635,969 Million Veteran Program participants, 29% genetically non-European, yields 98,485 associations and 57,601 fine-mapped signals with largely shared cross-population architecture.

The paper describes the design and pilot results of a study returning genetic results for familial hypercholesterolemia to MVP participants, showing a reduction in LDL-C after genetic counseling.

This study identifies 240 novel genetic loci associated with mosaic loss of chromosome Y through a multi-ancestry GWAS of the Million Veteran Program and UK Biobank.

The paper analyzes pharmacogenetic variant frequencies in the MVP dataset to represent US population diversity across different ancestries.

The paper validates polygenic risk scores for schizophrenia, bipolar disorder, and depression using VA EHR data and shows their association with disease risk and hospitalization.

The paper describes the design and performance of the MVP 1.0 custom Axiom array for genotyping a diverse cohort, achieving high-quality genetic data with substantial ancestral diversity.