Project description:Background: Most skin-related traits have been studied in Caucasian genetic backgrounds. A comprehensive study on skin-associated genetic effects on underrepresented populations such as Vietnam is needed to fill the gaps in the field. Objectives: We aimed to 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 from the 1000 Genomes Project-1KGP) and in-house Vietnamese data (WGS and genotyping by SNP array). Also, we compared the genetic predispositions of 25 skin-related traits of Vietnamese population to others to acquire population-specific insights regarding skin health. Results: The skin-related genetic profile of Vietnamese cohorts was similar at most to East Asian cohorts (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 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)).
2023-11-26 | GSE248483 | GEO
Project description:Multi-drug resistant pathogens isolated from wastewater
| PRJNA657169 | ENA
Project description:Whole Genome Sequencing (WGS) of Multi Drug Resistant (MDR) and Extensively Drug Resistant (XDR) Bacterial Pathogens
Project description:Integrative proteo-trnascriptomics analysis of MDR abd drug sensitive E. coli strains isolated from river Yamuna, Delhi, India to identify novel drug targets against Multi drug Resistant E. coli
Project description:Whole genome sequencing of SYBARIS Aspergillus spp. known to be multi-drug resistant and difficult to treat. Aim of this experiment is to investigate the genetic basis of susceptibility to disease and elucidate molecular mechanisms of drug resistance in these strains.
