Andrey Shevchenko1, Sergey V. Malov2, Alexey Antonik3
1Theodosius Dobzhansky Center for Genome Bioinformatics St.-Petersburg State University St-Petersburg, Russia, andrey.k.shevchenko@gmail.com
2Theodosius Dobzhansky Center for Genome Bioinformatics St.-Petersburg State University St-Petersburg, Russia, malovs@sm14820.spb.edu
3Theodosius Dobzhansky Center for Genome Bioinformatics St.-Petersburg State University St-Petersburg, Russia, alexey.antonik@gmail.com
Genome wide association studies (GWAS) allow to identify common variants associated with the trait in question. In order to efficiently search for the genetic associations we have previously developed Genome-Wide AssociationВ Tracks Chromosome Highway (GWATCH). The broad goal of the Botswana GWAS project is to identify genetic determinants of susceptibility and resistance to infection by HIV-1 subtype C among people severely affected by HIV/AIDS in Botswana. By conducting GWAS analysis on HIV1C case/control dataset consisting of 762 Tswana people (combined from two partly overlapping datasets of 809 microarray and 362 WGS samples), we found several gene regions slightly below significance level.
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