Jun Lv

Prediction of binding sites of GPCRs based on 3D convolutional neural networks

This study uses a 3D convolutional neural network to predict GPCR binding sites with high accuracy.

Global biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts

This study evaluates polygenic risk score methods across diverse biobanks and ancestries, finding that European reference panels often yield better performance, while PRS-CS outperforms P+T for high-heritability traits.

Meta-analysis fine-mapping is often miscalibrated at single-variant resolution

This paper shows that meta-analysis fine-mapping is often miscalibrated due to cohort heterogeneity and introduces a QC method to identify suspicious loci.

Global Biobank Meta-analysis Initiative: powering genetic discovery across human diseases

Meta-analysis of harmonized GWAS from up to 18 biobanks (six ancestry groups) across 14 endpoints replicated 320 known loci and identified 188 apparently novel loci.