Xiaomin Liu

GCN-Mamba predicts antibacterial synergies by combining graph convolutional networks and Mamba models, outperforming classical methods and validating novel combinations in vitro.

This study identifies 138,859 structural variants in 2,002 individuals, finding 30 associations with gut microbes and 48 with blood metabolites, including causal relationships between microbiome and metabolites.

This study characterizes the urinary microbiome in 1579 Chinese individuals, identifying host factors and genetic associations that influence microbial composition and urotype classification.

This study uses Mendelian randomization to identify causal relationships between gut microbiome composition and blood metabolites in a Chinese cohort.

This study identifies genetic loci associated with the oral microbiome using metagenome-genome-wide association studies in over 1,915 individuals.

This study identifies six new genetic variants associated with major adverse cardiovascular events in ACS patients on dual antiplatelet therapy and develops a predictive classifier for MACE.

This paper performs M-GWAS on a Chinese cohort to identify genetic contributions to the gut microbiome and its associations with complex diseases.

The paper identifies rs1997243 as a risk variant for hypercholesterolemia that increases GPR146 expression, showing its role in regulating blood cholesterol in human and mouse models.

The paper shows that skin pigmentation in African populations, particularly the KhoeSan, is highly heritable and polygenic, with many new genetic loci identified beyond previously known ones.