Huichun Xu

The paper analyzes exome array data from 9,721 ischemic stroke cases to identify coding variants associated with stroke, finding 15 significant variants, including 13 novel associations.

The paper performs whole genome sequence association analysis of fasting glucose and insulin levels in diverse cohorts, identifying 22 significant variants across 16 gene regions, including rare variants.

The paper estimates genetic and environmental correlations between complex phenotypes across different racial/ethnic groups and sexes using data from the TOPMed program.

The paper identifies rare non-coding variants from whole genome sequencing in the TOPMed program, showing they contribute significantly to type 2 diabetes heritability.

The paper identifies genetic variants affecting HbA1c levels in multi-ancestry cohorts, showing ancestry-specific impacts on diabetes diagnosis via HbA1c.

The paper identifies subtype-specific genetic loci associated with stroke subtypes and finds heterogeneity in their effects across different stroke types.

The paper presents an automated pipeline for quantifying white matter hyperintensity in acute ischemic stroke cohorts, showing improved accuracy and enabling large-scale analysis.