Xin Wang

The paper estimates heritability for behavioural and disease traits using 500,000 sibling pairs across diverse ancestries, finding substantial genetic contributions for smoking, alcohol use, personality, and diseases like T2D and asthma.

This study identifies genetic correlations between hyposmia and Parkinson's disease, finding a strong causal link from PD to hyposmia but weaker evidence for the reverse.

This study shows that credible sets in GWAS are affected by imputation quality and missing variants, and proposes a reweighting method to improve accuracy.

This paper evaluates how the scale and quality of genetic data from the 23andMe cohort improve predictions of clinical success for drug targets.

This study shows large language models can accurately prioritize causal genes at GWAS loci, outperforming existing methods and offering a scalable solution.

The paper uses the 23andMe database to study MAP3K15's metabolic role, finding LoF carriers have delayed T2D diagnosis and reduced cholesterol.

The paper introduces CT-SLEB, a method for multi-ancestry polygenic prediction that improves performance in non-European populations using GWAS summary statistics and simulation studies.

The paper identifies sex-differential participation bias in genetic studies by performing GWAS on sex in 3.3 million individuals, finding 158 loci associated with sex and highlighting traits like BMI that may influence participation.

This study identifies genetic loci associated with daytime napping and finds potential causal links between napping and cardiometabolic traits.

This paper introduces cov-LDSC, a method to estimate heritability and its enrichment in tissue-specific gene sets in admixed populations, showing high concordance across populations but population-specific differences for some traits.

The paper identifies HLA-B*55:01 as a genetic risk factor for penicillin allergy through genome-wide analysis of electronic health records and imputed HLA data.

This study identifies one known and two novel genetic variants associated with heart failure through GWAS and multi-omic analyses, revealing potential causal mechanisms and shared heritability with musculoskeletal traits.

This study identifies two genetic loci, GDF5 and COL27A1, associated with knee pain through a genome-wide association analysis in the UK Biobank and replication in other cohorts.

This study identifies 202 genome-wide significant loci for insomnia using a large sample, linking them to specific brain cell types and pathways.