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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Nick Yankovsky, PhD, Russian Academy of Sciences
Human Health Variability within Great Human Diaspora: A Challenge for Computational Biology
Genetic structure of human populations is formed by population prehistory as well as both genetic and environment factors. I will talk on genetic differences between ethnic populations affecting alcohol metabolism and human health.
New genome wide approaches are used to find association between human genes (from single SNPs up to GWAS and whole genome sequence), gene expression levels (methylation profile, transcriptome and proteome analysis) and susceptibility to diseases. Population level data analysis is one more way to find molecular targets for therapy and predictive medicine. Current genomic, epigenomic, gene expression, etc. databases have abundant data but are not yet sufficiently connected. This area of research has significant potential for finding relationships between different levels of modeling of human biology from genotypes to specific phenotypes to general traits such as human health and wellness.