QiPing Feng

This study identifies 36 genetic loci associated with recurrent UTIs and highlights PSCA as a key gene involved in urinary epithelial defense against bacteria.

The paper evaluates LLM-generated phenotype-genotype associations using external validation, finding 74.19% match genomic knowledge bases with varying support levels.

This study sequenced 35,024 individuals with predominantly African ancestry to address gaps in genomics and healthcare, finding under-documented disease variants and novel associations with drug adverse events and glycemic control.

The paper examines how covariates affect polygenic score performance across European and African cohorts, finding significant differences in R2 and interaction effects, and proposes methods to improve model performance.

The paper identifies genetic risk factors for hypertriglyceridemia in African ancestry populations using whole genome sequencing and electronic health records.

The paper shows the APOL1 p.N264K variant reduces the risk of FSGS and kidney disease in individuals with G2 APOL1 risk alleles.

This paper introduces PhenoPLIER, a method that maps gene-trait and drug associations into gene modules to reveal disease mechanisms and drug targets.

The paper selects and validates ten polygenic risk scores for clinical use in diverse populations, focusing on chronic diseases and addressing disparities in predictive performance.

This study investigates the association between APOL1 risk variants and sepsis occurrence in Black patients with infections, finding that the increased risk is largely due to pre-existing severe renal disease.

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 paper introduces polygenic risk vectors (PRV) to improve genetic risk stratification for cardio-metabolic diseases by combining additive and dominant genetic effects, outperforming traditional polygenic risk scores.

The paper uses multi-ancestry biobank data and integrative methods to identify gene-disease associations across different ancestry groups, finding shared and ancestry-specific genetic links.

Neptune delivers structured genomic data to EHR systems through customizable reports and variant reanalysis, supporting over 15,000 clinical reports.

The paper identifies a missense variant in the MARC1 gene associated with protection against cirrhosis and lower liver enzyme and cholesterol levels.

The paper uses genetic variants to investigate side effects and repurposing potential of antihypertensive drugs, finding a link between calcium channel blockers and increased diverticulosis risk.

The paper uses non-negative matrix factorization to analyze electronic health records and identify associations between a genetic variant in LPA and disease topics, finding positive and negative correlations with cardiovascular diseases and lung cancer.