DocumentCode
2737577
Title
Poster: High-performance computing for mapping disease-related genes
Author
Valentine-Cooper, William ; Huang, Yungui ; Seok, Sang-Cheol ; Vieland, Veronica
Author_Institution
Battelle Center for Math. Med., Res. Inst. at Nationwide Children´´s Hosp., Columbus, OH, USA
fYear
2011
fDate
3-5 Feb. 2011
Firstpage
263
Lastpage
263
Abstract
Two wide-spread and powerful techniques in human genetic epidemiology are linkage and association analysis. Linkage analysis is used to identify the approximate location of disease-related genes on a map of the human genome, and generally uses pedigree data and large sets of genetic markers. Since the resolution of locality approximations determined using linkage analysis is quite low (spanning millions of base pairs), researchers usually perform additional analyses to improve the accuracy. Association analysis commonly uses large numbers of unrelated individuals or parent-child “trios” rather than pedigree data, but can also be performed based on pedigrees.
Keywords
cellular biophysics; diseases; genetics; genomics; medical computing; molecular biophysics; association analysis; disease-related gene mapping; genetic markers; high-performance computing; human genetic epidemiology; human genome; linkage analysis; locality approximation; Approximation methods; Bioinformatics; Couplings; Diseases; Genomics; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Advances in Bio and Medical Sciences (ICCABS), 2011 IEEE 1st International Conference on
Conference_Location
Orlando, FL
Print_ISBN
978-1-61284-851-8
Type
conf
DOI
10.1109/ICCABS.2011.5729917
Filename
5729917
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