Bardel Claire, Danjean Vincent, Génin Emmanuelle
Unité de recherche en Génétique Epidémiologique et Structure des Populations Humaines, INSERM U535, Villejuif, France.
Bioinformatics. 2006 Jun 1;22(11):1402-3. doi: 10.1093/bioinformatics/btl131. Epub 2006 Apr 4.
Finding the genes involved in complex diseases susceptibility and among those genes, localizing the variant sites explaining this susceptibility is a major goal of genetic epidemiology. In this context, haplotypic methods that use the joint information on several markers may be of particular interest. When the number of haplotypes is large, a grouping may be required. Phylogenetic trees allow such groupings of haplotypes based on their evolutionary history and may help in the detection and localization of disease susceptibility sites. In this paper, we present a new software to perform phylogeny-based association and localization analysis.
寻找与复杂疾病易感性相关的基因,并在这些基因中定位解释这种易感性的变异位点,是遗传流行病学的一个主要目标。在这种情况下,利用多个标记的联合信息的单倍型方法可能会特别有用。当单倍型数量很大时,可能需要进行分组。系统发育树可以根据单倍型的进化历史对其进行分组,并可能有助于疾病易感性位点的检测和定位。在本文中,我们提出了一种新的软件来进行基于系统发育的关联和定位分析。