Alexis C. Wood

The paper identifies 16 genetic loci interacting with sleep duration to influence glycemic traits in over 480,000 individuals, revealing distinct biological mechanisms for short and long sleep.

The paper introduces the Proteomic Sex Index (PSI), a continuous measure of plasma proteome alignment with chromosomal sex, showing its association with health and disease traits.

TorchGWAS2 improves genome-wide association testing in related samples by using a deterministic variance-correction algorithm, achieving faster and more powerful results across large-scale omics data.

The paper examines short-term, long-term, and genetic factors influencing human plasma proteome variability using longitudinal cohort data.

The paper identifies genetic drivers of protein change over time using longitudinal proteomics data from MESA, UK Biobank, and CARDIA, finding that baseline adjustment improves replication but may introduce biases.

This study investigates causal links between T2D genetic clusters and non-cardiovascular comorbidities, identifying potential drug repurposing opportunities.

The paper analyzes circulating metabolites using genome-wide association data from the TOPMed program, identifying 1,778 loci and highlighting sex-specific genetic contributions.

The paper refines a gene-physical activity interaction affecting HDL-cholesterol by analyzing lipoprotein subfractions and exploring sex differences across multiple cohorts.

The paper identifies a gene-diet interaction modifying the association between macronutrient intake and glycemic traits, highlighting challenges in detecting such interactions due to measurement error and sample size.

The paper identifies four genetic loci associated with risk across seven cardiometabolic traits using GWAS in the UK Biobank and replication in independent meta-analyses.

The paper shows Amerind ancestry is linked to lower LC-PUFA levels and increased cardiometabolic risk in Hispanic populations due to FADS genetic variation.

This paper investigates gene-environment interactions affecting vitamin D levels and optimal intake across different ethnic groups.

The paper investigates the genetic relationship between low LDL-C and type-2 diabetes, identifying 31 loci and suggesting a causal link through Mendelian randomization.

The paper develops ancestry-specific polygenic scores for 25(OH)D levels, showing they predict blood concentrations and inform vitamin D supplementation needs.

This study identifies 46 novel genetic loci associated with alcohol consumption and suggests shared genetic mechanisms with neuropsychiatric disorders using GWAS and functional analyses.