Marquès-Bonet Tomàs, Lao Oscar, Goertsches Robert, Comabella Manuel, Montalban Xavier, Navarro Arcadi
Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain.
Bioinformatics. 2005 Sep 1;21 Suppl 2:ii180-1. doi: 10.1093/bioinformatics/bti1118.
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.
The tool can be downloaded from http://www.upf.es/cexs/recerca/bioevo/softanddata.htm
全基因组扫描分析全基因组中的大量遗传标记，主要是单核苷酸多态性，以寻找与复杂性状相关的变异和区域，以便对其进行进一步研究。由于多重检验问题以及重组、连锁不平衡和真实关联的基因组分布，分析此类扫描的结果变得困难，这些因素在标记之间产生了极其复杂的依赖网络。在此，我们介绍关联聚类检测器（ACD），这是一个旨在简化全基因组扫描结果分析的简单工具。ACD使用几种标准程序促进多重检验的校正，并实施一种滑动窗口启发式方法，该方法通过利用显著相关标记的非随机分布特性来帮助检测潜在有趣的候选区域。
该工具可从http://www.upf.es/cexs/recerca/bioevo/softanddata.htm下载
