By Topic

A Novel Method to Select High-risk Disease-Related Regions after a Genome Wide Haplotype-Based Association Study: An Application to Alcoholism

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
Guiyou Liu ; Dept. of Bioinf., Harbin Med. Univ., Harbin, China ; Yongshuai Jiang ; Ruijie Zhang ; Zhen Wang
more authors

Genome-wide association (GWA) studies based on haplo type have emerged as a new and powerful approach to identify the genetic variants involved in human complex diseases. A challenging problem after a GWA study based on haplotype is to select high-risk disease-related regions from the results that contain false association between genotype and phenotype. Haplotype similarity difference in a particular region between affected and unaffected individuals can be considered a sound evidence for susceptibility loci in the region. In our study, we developed a new statistic to measure the haplotype similarity difference between the cases and controls around disease susceptibility regions, and then we selected and prioritized high-risk disease-related blocks after a GWA study based on haplotype. Our results show that the novel method combining evolutionary information to select high-risk disease-related regions after GWA studies based on haplotype can locate the disease-related regions precisely and improve the efficiency of a genome wide haplotype-based association study.

Published in:

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on  (Volume:5 )

Date of Conference:

14-16 Aug. 2009