Thomas W. Winkler

This study performs a multi-trait GWAS on kidney filtration function and albuminuria, identifying distinct genetic signals and shared mechanisms.

The paper develops an age-informative polygenic score for kidney function and shows it improves prediction of eGFR and decline compared to an age-agnostic score.

This study identifies twelve novel blood pressure loci and shows smoking modifies genetic effects on BP through immune-related pathways in over 1 million individuals.

This study performs a genome-wide association study for Long COVID, identifying a significant association with the FOXP4 locus and highlighting the role of pulmonary dysfunction and COVID-19 severity.

This study identifies 22 novel gene-sleep duration interaction loci for blood pressure traits across 811,405 individuals, highlighting distinct genetic influences of short and long sleep on cardiovascular health.

This study performs a GWAS and evaluates polygenic risk scores for AMD in Israeli populations, finding consistent associations with known loci and demonstrating predictive power of international PRS.

The paper identifies novel genetic loci associated with systolic blood pressure that interact with the DASH diet score through genome-wide interaction analysis.

This study identifies 118 candidate causal genes and 21 novel lipid loci on the X chromosome through a multi-ancestry meta-analysis of blood lipid levels, revealing sex-biased effects and pleiotropy with cardiovascular and hormonal traits.

This paper integrates GWAS data with functional genomic datasets to identify regulatory mechanisms and causal genes underlying lipid-related traits.

This study identifies 424 new loci associated with kidney function using GWAS data from over 1.2 million individuals and prioritizes 34 genes for further functional investigation.

The paper identifies novel genetic loci associated with blood pressure that interact with sleep duration across multiple ancestries.

This study performs a genome-wide association meta-analysis of early AMD, identifying 11 loci, 9 novel, and highlighting shared and distinct genetic factors between early and advanced AMD.

The paper applies machine learning to classify age-related macular degeneration in GWAS, showing how misclassification can be addressed to identify true genetic associations.

The paper identifies 49 novel blood lipid loci associated with gene-sleep interactions in 126,926 individuals across 5 ancestry groups, with gene-short-sleep interactions explaining 4.25% of triglyceride variance.

This study identifies 15 common and 9 low-frequency protein-coding variants associated with body fat distribution, implicating novel genes related to lipid homeostasis and type 2 diabetes.

Meta-analysis of waist-to-hip ratio adjusted for BMI in 694,649 European-ancestry individuals identifies 463 signals in 346 loci, roughly one-third sexually dimorphic and mostly stronger in women.

VarExp estimates phenotypic variance explained by genetic variants using GWAS summary statistics without individual-level data.