Literature DB >> 16204099

Association Cluster Detector: a tool for heuristic detection of significance clusters in whole-genome scans.

Tomàs Marquès-Bonet1, Oscar Lao, Robert Goertsches, Manuel Comabella, Xavier Montalban, Arcadi Navarro.   

Abstract

UNLABELLED: Whole genome scans analyze large sets of genetic markers, mainly single nucleotide polymorphisms, over the entire genome in order to find variants and regions associated with complex traits so these can be further investigated. Analyzing the results of such scans becomes difficult due to multiple testing problems and to the genomic distributions of recombination, linkage disequilibrium and true associations, which generate an extremely complex network of dependences between markers. Here we present Association Cluster Detector (ACD), a simple tool aiming to ease the analysis of the results of whole genome scans. ACD facilitates correction for multiple tests using several standard procedures and implements a sliding-window heuristic method that helps in detecting potentially interesting candidate regions by exploiting the property of non-random distribution of significantly associated markers. AVAILABILITY: The tool can be downloaded from http://www.upf.es/cexs/recerca/bioevo/softanddata.htm

Mesh:

Year:  2005        PMID: 16204099     DOI: 10.1093/bioinformatics/bti1118

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  1 in total

Review 1.  Genetics of arrhythmia: disease pathways beyond ion channels.

Authors:  Marco V Perez; Matthew Wheeler; Michael Ho; Aleksandra Pavlovic; Paul Wang; Euan A Ashley
Journal:  J Cardiovasc Transl Res       Date:  2008-05-15       Impact factor: 4.132

  1 in total

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