Qing Duan

This paper performs a local ancestry-aware GWAS on SCD cohorts to identify novel genetic loci associated with eGFR, uncovering regions linked to inflammation, ECM integrity, and other pathways relevant to SCD nephropathy.

This paper investigates how interactions between infant polygenic risk and maternal human milk components predict childhood atopy, finding that integrating these factors improves prediction accuracy.

ESNA detects higher-order genetic interactions using genome-wide SNP data, identifying 914 SNP network modules associated with respiratory outcomes in children.

This paper develops and validates multi-ancestry polygenic risk scores for type 2 diabetes prediction and complications across diverse populations.

The paper investigates how human milk components interact with infant genomics to affect gut microbiota and risk of childhood asthma and atopy.

COALA identifies optimal counterfactual interventions for individuals using gradient boosted trees on NHANES data, achieving 85.4% accuracy in predicting feature changes.

This study shows that clock genes in nociceptors affect pain sensitivity differently in males and females across times of day.

The paper identifies rhythmic mRNA and miRNA genes, networks, and co-expression pairs across CNS regions using high-dimensional data and provides a searchable resource for analysis.

This study identifies persistent DNA methylation changes linked to prenatal NO2 exposure in early childhood and links some changes to wheeze and atopy.

This study identifies 242 genetic loci for glycaemic traits using trans-ancestry meta-analysis, finding 99 novel loci and improved fine-mapping resolution compared to single-ancestry analyses.

The paper identifies deleterious and regulatory variants in LD with asthma risk loci using whole-genome sequencing data from the 1000 Genomes Project.

The paper identifies high-impact variants in pharmacogenomic genes using whole-genome sequencing data from the 1000 Genomes Project.

This study identifies over 50 new genetic loci associated with pulmonary function through a multiethnic meta-analysis of 90,715 individuals.