Ming Ta Michael Lee

The paper analyzes a Mexican FH cohort to show rare and common alleles in FH genes and a novel locus contribute to disease risk, with replication in UK Biobank.

This study evaluates polygenic risk score (PRS) performance across four ancestry groups for 14 diseases, finding that ancestry-specific PRS models improve accuracy and identifying cross-trait interactions.

This paper shows that meta-analysis fine-mapping is often miscalibrated due to cohort heterogeneity and introduces a QC method to identify suspicious loci.

Meta-analysis of harmonized GWAS from up to 18 biobanks (six ancestry groups) across 14 endpoints replicated 320 known loci and identified 188 apparently novel loci.

This study validates and automates polygenic risk score (PRS) development for cardiometabolic diseases using direct-to-consumer genetic and phenotypic data, showing comparable performance to larger clinical datasets.

This study uses multivariable Mendelian randomization to show that higher bone mineral density causally increases osteoarthritis risk independently of body mass index.

The paper performs a genome-wide rare variant analysis across nine cancer types using germline WES data to identify cancer predisposition genes and pathways.

This study identifies genetic clusters associated with PCOS subtypes and finds causal links between BMI, SHBG, and PCOS.

This paper identifies novel genetic variants associated with PCOS using EHR-based GWAS and validates them in independent cohorts.

This study investigates the association between GSTM1 copy number and kidney failure risk in a large cohort, finding no significant association after adjustments.

The paper uses ATAC-seq to analyze chromatin accessibility in knee cartilage from OA patients, identifying enhancer regions linked to OA and potential therapeutic targets.