Liming Li

This study maps MHC-pQTL across ancestries, identifying genetic associations with plasma proteins and linking HLA genes to immune-related traits.

This study identifies 19 CNV associations with anthropometric and cardiometabolic traits in 94,730 Chinese adults, expanding ancestry diversity in CNV research.

This study identifies genetic variants associated with healthcare costs across multiple systems, finding polygenic influences and large effects from specific loss-of-function variants.

The paper infers circadian phase from blood biomarkers in UK Biobank using machine learning and defines a new construct, circadian acceleration, with genetic and environmental associations.

This study examines polygenic scores for schizophrenia and major depression in Chinese adults, finding associations with various traits and highlighting ancestry-specific genetic correlations.

This paper introduces HLA-colocalization, a method for genetic colocalization at the HLA locus using HLA alleles, showing it identifies novel causal associations between viruses and autoimmune diseases.

Family-based GWAS meta-analysis of 34 phenotypes shows standard GWAS effects carry sizeable confounding uncorrelated with direct genetic effects, while assortative mating likely inflates SNP heritability and genetic correlations.

This study identifies 128 BP-associated loci in Chinese adults through GWAS and shows causal links between BP traits and CVD using Mendelian randomisation.

The paper investigates historical coronavirus selection events using genetic data from China Kadoorie Biobank and UK Biobank, finding enrichment of virus-interacting genes in East Asians but not in UKB.

This study identifies genetic variants associated with alcohol flushing in East Asian populations and suggests self-reported flushing can be used as an instrumental variable for alcohol intake.

The paper constructs a high-resolution haplotype-resolved reference panel from the China Kadoorie Biobank study and demonstrates its superior performance in imputing microarray data compared to existing panels.

The paper reports genotyping and population structure findings from the China Kadoorie Biobank, revealing relatedness, consanguinity, and population movement patterns.

This study identifies 565 genetic loci associated with sitting height ratio (SHR) in two populations, finding distinct genetic signals from height and highlighting ancestry-specific effects.

This study performs a multi-ancestry GWAS on lung function and COPD, identifying 559 genes and 29 pathways, and showing genetic risk scores are associated with COPD across ancestries.

This study identifies 400+ genetic loci associated with circulating metabolic traits and highlights pleiotropy and novel disease pathways.

This paper conducts a multi-ancestry GWAS of major depression, identifying 190 loci and 354 genes, with findings showing increased fine-mapping power and bidirectional BMI relationship in European ancestry samples.

This paper improves genetic scores for adiposity traits in East Asian populations by using trans-ancestry meta-analysis, increasing variance explained compared to European-derived scores.

This paper introduces MAMA, a method for multi-ancestry GWAS meta-analysis, which identifies novel genetic associations and improves power across populations.

In 159,701 siblings from 17 cohorts, population GWAS overstate direct effects on height, education, smoking, cognition, depressive symptoms and age at first birth; clinical traits mostly agree across models.

This paper identifies 56 new type 2 diabetes loci in 433,540 East Asian individuals through a meta-analysis of GWAS data.

This study assesses the transferability of lipid loci across African, Asian, and European populations, finding high consistency but also population-specific variations.

This study identifies genetic variants associated with sporadic and recurrent miscarriage through large-scale association analyses and Mendelian randomization.

The paper identifies 279 new genetic signals for lung function across multiple ancestries, showing associations with COPD and pleiotropic effects.

This study finds that genetically or therapeutically lowering sclerostin increases cardiovascular risk, based on genetic variant analysis and clinical trial data.