Wanling Yang

The paper evaluates imputation performance in East and Southeast Asian populations, showing that recent selection affects variant detection and polygenic risk score estimation.

This study identifies heterozygous gain-of-function STAT6 variants in two patients with severe allergic disease and shows JAK inhibitors reduce the enhanced STAT6 responses.

The paper identifies disease genes and pathways in systemic lupus erythematosus by analyzing DNA methylation differences in blood cells, finding distinct patterns in T and B cells.

This paper introduces TL-Multi, a transfer learning method to improve polygenic risk prediction in non-European populations using European GWAS data, achieving better accuracy than existing methods in SLE and asthma risk prediction.

This study identifies seed storability-related loci in Dongxiang wild rice using BSA-seq and confirms their effects through metabolic and cellular analysis.

The paper identifies a dysfunctional enhancer linked to IRF8 expression through CRISPRa screening and shows its regulation by a lncRNA and DNA methylation.

This study identifies 38 novel SLE loci and shows genetic heterogeneity across ancestral groups, highlighting antibody production as a potential mechanism for disease disparities.

This study identifies 113 genomic loci for SLE in East Asians, including 46 novel loci, and highlights non-immune cell-related biological mechanisms.

This study evaluates genetic risk scores for predicting SLE susceptibility and severity using GWAS data from European and Chinese populations, finding moderate predictive performance and associations with renal disease and age of onset.

RETA is an R package that simplifies whole exome and targeted region sequencing data analysis by providing a comprehensive, interactive report with advanced visualization tools.