Kuang Lin

Copy number variant association analysis in 94,730 Chinese adults reveals loci influencing anthropometric and cardiometabolic traits

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

Quantifying the contribution of genetic variation to healthcare expenditure across diverse healthcare systems

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

Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries.

This paper develops and validates multi-ancestry polygenic risk scores for type 2 diabetes prediction and complications across diverse populations.

Genetic liability to metabolic dysfunction modelled in early adulthood predicts cardiometabolic risk across the life course in Asian populations

This paper develops a polygenic score for metabolic syndrome in early adulthood and shows it predicts cardiometabolic risk across the life course in Asian populations.

Phenome-wide associations of polygenic scores for schizophrenia and major depression in 100,000 Chinese adults

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

Family-GWAS reveals effects of environment and mating on genetic associations

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.

Understanding the genetic complexity of puberty timing across the allele frequency spectrum

This study identifies genetic signals associated with age at menarche, highlights genes involved in pubertal development, and links reproductive timing to later life disease risk.

Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications

This study identifies 1,289 genetic signals for type 2 diabetes in 2.5 million individuals, revealing distinct clusters linked to vascular complications and highlighting ancestry-specific genetic risk factors.

The contribution of Neanderthal introgression and natural selection to neurodegenerative diseases

This study investigates the role of Neanderthal introgression and natural selection in the heritability of neurodegenerative diseases and finds no significant contribution from either.

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.

Implicating genes, pleiotropy and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

This study identifies 118 candidate causal genes and 21 novel lipid loci on the X chromosome through a multi-ancestry meta-analysis of blood lipid levels, revealing sex-biased effects and pleiotropy with cardiovascular and hormonal traits.

Genome-wide characterization of circulating metabolic biomarkers reveals substantial pleiotropy and novel disease pathways

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

A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids

This paper integrates GWAS data with functional genomic datasets to identify regulatory mechanisms and causal genes underlying lipid-related traits.

Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

This study identifies 277 T2D loci using diverse populations and improves fine-mapping to assess causal genes and mechanisms, enhancing clinical translation.

Lifelong genetically lowered sclerostin and risk of cardiovascular disease.

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

Does genetic risk help to predict amyloid burden in a non-demented population? A Bayesian approach.

This study uses Bayesian logistic regression to assess if genetic risk factors predict amyloid burden in non-demented individuals, finding that known factors like age and APOE are more predictive than polygenic risk scores.