Sile Hu

The paper identifies genetic interactions affecting quantitative traits in the UK Biobank by testing SNP interactions with polygenic scores, finding 144 independent interactions across 52 traits.

The paper identifies tissue-specific protein regulation and pQTLs associated with cardiometabolic disease using multi-tissue proteomic data from STARNET patients.

This paper evaluates Bayesian Linear Regression derived gene set tests, showing they outperform MAGMA in detecting genetic associations with complex diseases.

This study evaluates Bayesian Linear Regression models for gene set prioritization in complex diseases, showing improved performance in identifying T2D-related pathways using multi-trait analysis.

This paper builds a haplotype reference panel from Genomics England data and imputes UK Biobank data, revealing more rare variants and suggesting limitations in detecting rare variant associations with current sample sizes.

The paper maps genetic associations with plasma proteins in 54,306 UK Biobank participants, identifying 10,248 new protein quantitative trait loci (pQTLs) and expanding the genetic architecture of the plasma proteome.

This paper evaluates Bayesian Linear Regression models with BayesC and BayesR priors as fine mapping tools, comparing them to existing methods and showing improved F1 scores and credible set properties.

The paper shows genetic effect sizes are similar across African and European populations for most traits, suggesting shared causal mutations and improving GWAS portability.

The paper identifies six genome-wide significant loci associated with facial shape differences between Europeans and Han Chinese and develops a DNA-based 3D face prediction model.

This study identifies facial patterns associated with personality traits using 3D facial images and statistical analysis in a Han Chinese population.

This study estimates the timing of natural selection in the human genome over the past half-million years, identifying selection events related to brain evolution and Alzheimer's disease pathways.