Yang Liu

Genome-wide analyses of variance in blood cell phenotypes provide new insights into complex trait biology and prediction

This study identifies genetic loci influencing variance in blood cell traits and shows that incorporating variance polygenic scores improves prediction accuracy.

Integration of polygenic and gut metagenomic risk prediction for common diseases

This study integrates polygenic risk scores and gut metagenomic data to improve prediction of common diseases, showing enhanced predictive performance over conventional risk factors.

Early prediction of liver disease using conventional risk factors and gut microbiome-augmented gradient boosting

This study uses gut microbiome data and machine learning to improve liver disease risk prediction, showing that combining microbiome features with conventional risk factors enhances model performance.

Combined effects of host genetics and diet on human gut microbiota and incident disease in a single population cohort

In 5,959 Finns with genotypes and stool metagenomes, GWAS found 583 independent SNP-taxon associations; dairy intake modified LCT effects on Bifidobacterium, and ABO-linked Faecalicatena lactaris tracked secretor status.