Xinli Hu

This study identifies 1,242 novel genetic variants and 31 novel genes associated with frailty through genome-wide association and proteomics integration.

This study conducts a genome-wide meta-analysis across three biobanks to identify new genetic loci associated with lumbar disc herniation, expanding the known genetic landscape.

This study identifies 504 plasma proteins influenced by HLA genetic variation in 45,330 Europeans, revealing their roles in immune function and disease.

This study conducts a GWAS of preeclampsia and hypertensive disorders of pregnancy, identifying 18 genome-wide significant loci, including novel associations with blood pressure and placental function.

The paper performs single-variant and gene-based association analyses of 4,529 phenotypes using exome data from 426,370 UK Biobank individuals, finding associations linked to variant frequency and deleteriousness.

Finnish-enriched low-frequency variants, often coding, underlie many GWAS signals across 1,932 register endpoints in 218,792 Finns; a 15-disease meta-analysis with Estonian and UK biobanks adds 30 unreported associations.

The paper introduces a multivariate GWAS framework that identifies functional variants and disease associations by transforming multivariate results into univariate phenotypes for follow-up analysis.

The paper introduces BUHMBOX, a statistical method to distinguish pleiotropy from heterogeneity in genetic data, finding shared genetic bases in autoimmune diseases and between MDD and schizophrenia.

The paper develops a statistical method to distinguish causal non-coding variants from colocalizing annotations in complex trait loci, identifying independent effects in disease-associated regions.