Biology subjects

Vu, G. M.

Publications and source records attributed to Vu, G. M..

3 recordsLinked to original sources

bioRxiv2026

Urban Vietnam at the microbiome transition: Co-existing enterotypes reflect the global industrialization patterns

Vietnam's rapid socioeconomic and dietary transition offers a rare window into how industrialization is reflected in the gut microbiome, yet Vietnamese populations remain underrepresented in global reference datasets. We investigated whether healthy Vietnamese adults in Hanoi harbor microbial community configurations associated with different stages of industrialization. Metagenomic data from stool samples of 183 clinically screened participants in Hanoi were analyzed alongside 629 publicly available metagenomic datasets from populations in low to middle income (LMI) and high income (HI) countries. Species-level taxonomic composition and gene-content-based metabolic pathways were characterized using community clustering and multivariable association analyses. Rather than forming a single population profile, the Vietnamese cohort separated into two enterotypes that mirrored the global industrialization gradient. Enterotype 1 more closely resembled populations from LMICs and showed greater microbial richness and diversity, whereas Enterotype 2 aligned with taxonomic and functional profiles observed in HICs. Both taxonomic and functional potential shows similar trajectories. Diet and lifestyle patterns describe some of the variance between enterotypes, supporting an association between contemporary exposures and microbiome structure without establishing causation. Antibiotic resistance profiles also varied between enterotypes, suggesting that the transition may encompass functions relevant to antimicrobial exposure. Together, these findings position urban Vietnam at a microbiome transition, where community states associated with different levels of industrialization coexist within a single population. This Vietnamese reference cohort expands representation in global metagenomic research and provides a baseline for tracking how rapid socioeconomic change may reshape microbial ecology, metabolic capacity, and antimicrobial resistance.

microbiology↗

bioRxiv2025

VN1K: a genome graph-based and function-driven multi-omics and phenomics resource for the Vietnamese population

Vietnam, the 16th most populated nation, remains profoundly underrepresented in global genomic databases. Here, we present VN1K, a first-ever comprehensive and well-curated resource of multi-omics data with a wide-range of phenotypic information of 1,011 unrelated Vietnamese individuals. High-depth short-read whole-genome sequencing data were generated for all samples along with various - omic data, including microarray, long-read whole-genome sequencing, and RNA sequencing. Using a high-sensitivity variant detection pipeline, which included a pangenome graph reference and a deep-learning framework, we identified nearly 40 million variants of which 8.5 million are novel with nearly 900 thousand short insertions/deletions and 39 thousand structural variants. Specifically, VN1K featured a first-ever whole-genome methylation profile based on long read sequencing. A genotype imputation panel was also created with the highest accuracy on the Vietnamese population. Variants with significantly different allele frequencies in the Vietnamese population compared to others were found to be functionally significant, especially in genes associated with immune diseases (HLA-B, KIR3DL3, KIR2DL1, KIR2DL4) or drug responses (CYP2C19, CYP2D6, VKORC1, CYP2B6). We were also able to map various loci related to hepatitis B virus infection as well as six disease traits, including triglyceride levels, LDL-C, serum glucose levels, HbA1c, and levels of two liver enzymes (ALT and AST). VN1K dataset is accessible via genome.vinbigdata.org, an integrated platform with both linear and graph-based genome browser for facilitating data exploration, research, and applications in precision medicine.

genomics↗

bioRxiv2023

A study of genetic variants associated with skin traits in the Vietnamese population

BackgroundMost skin-related traits have been studied from Caucasian genetic background. A comprehensive study on skin-associated genetic effects on under-represented populations like Vietnam is needed to fill the gaps in the field. ObjectivesTo develop a computational pipeline to predict the effect of genetic factors on skin traits using public data (GWAS catalogs and whole genome sequencing (WGS) data of 1000 genomes project-1KGP) and in-house Vietnamese data (WGS and genotyping by SNP array). By using this information we may have a better understanding of the susceptibility of Vietnamese people. MethodsVietnamese cohorts of whole genome sequencing (WGS) of 1008 healthy individuals for the reference and 96 genotyping samples (which do not have any skin cutaneous issues) by Infinium Asian Screening Array-24 v1.0 BeadChip were employed to predict skin-associated genetic variants of 25 skin-related and micronutrients requirement traits in population analysis and correlation analysis. Simultaneously, we compared the landscape of cutaneous issues of Vietnamese people with other populations by assessing their genetic profiles. ResultsThe skin-related genetic profile of Vietnamese cohorts is similar at most with East Asian (JPT: Fst=0.036, CHB: Fst=0.031, CHS: Fst=0.027, CDX: Fst=0.025) in the population study. In addition, we identified pairs of skin traits being at high risk of frequent co-occurrence (such as skin aging and wrinkles (r = 0.45, p =1.50e-5) or collagen degradation and moisturizing (r = 0.35, p = 1.1e-3). ConclusionThis is the first investigation in Vietnam to explore genetic variants of facial skin. These findings could improve inadequate skin-related genetic diversity in the currently published database.

bioinformatics↗