Web-enabled classification of SNPs for genome-wide association studies

Abhijit R. Tendulkar, Nikola Stojanovic, Robert Barber

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Whole genome association studies of the genetic under-pinnings of complex phenotypes, and human diseases in particular, have been steadily gaining momentum over the past several years. Yet, the number of polymorphic sites in the human genome, including, but not limited to, Single Nucleotide Polymorphisms (SNPs) is so large that identifying the combination of these few that have a significant effect on the condition of interest remains an overwhelming task. In this manuscript we present a new networked solution, and a program GeneNAB implementing it, to the computational identification and ranking of SNPs likely to be relevant for the phenotype of interest, genome-wide. We expect that the output of this program will be useful to guide further laboratory and clinical studies of these SNPs.

Original languageEnglish
Title of host publicationProceedings - 11th International Conference on Information Technology, ICIT 2008
Pages112-117
Number of pages6
DOIs
StatePublished - 1 Dec 2008
Event11th International Conference on Information Technology, ICIT 2008 - Bhubaneswar, India
Duration: 17 Dec 200820 Dec 2008

Publication series

NameProceedings - 11th International Conference on Information Technology, ICIT 2008

Other

Other11th International Conference on Information Technology, ICIT 2008
CountryIndia
CityBhubaneswar
Period17/12/0820/12/08

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