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                                       Details for article 17 of 19 found articles
 
 
  Selecting SNPs for Association Studies Based on Population Frequencies: A Novel Interactive Tool and Its Application to Polygenic Diseases
 
 
Title: Selecting SNPs for Association Studies Based on Population Frequencies: A Novel Interactive Tool and Its Application to Polygenic Diseases
Author: Steffen Möller
Dirk Koczan
Pablo Serrano-Fernandez
Uwe K. Zettl
Hans-Jürgen Thiesen
Saleh M. Ibrahim
Appeared in: In silico biology
Paging: Volume 4 (2005) nr. 4 pages 417-427
Year: 2005-02-28
Contents: Common complex polygenic diseases as autoimmune diseases have not been completely understood on a molecular level. While many genes are known to be involved in the pathways responsible for the phenotype, explicit causes for the susceptibility of the disease remain to be elucidated. The susceptibility to disease is thought to be the result of genetic epistatic interactions between common polymorphic genes. This polymorphism is mostly caused by single nucleotide polymorphisms (SNPs). Human subpopulations are known to differ in the susceptibility to the diseases and generally in the distribution of single nucleotide polymorphisms. The here presented approach retrieves SNPs with the most divergent frequencies for selected human subpopulations to help defining properties for the experimental verification of SNPs within defined regions. A web-accessible program implementing this approach was evaluated for multiple sclerosis (MS), a common human polygenic disease. A link to a summary of data from "The SNP Consortium" (TSC) with sex-dependencies of SNPs is available. Associations of SNPs to genes, genetic markers and chromosomal loci are retrieved from the Ensembl project. This tool is recommended to be used in conjunction with microarray analyses or marker association studies that link genes or chromosomal loci to particular diseases.
Publisher: IOS Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 17 of 19 found articles
 
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