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计算机辅助精细定位:通过基因组间分析缩小疾病相关基因座范围

In silico fine-mapping: narrowing disease-associated loci by intergenomics.

作者信息

Serrano-Fernández Pablo, Ibrahim Saleh M, Koczan Dirk, Zettl Uwe K, Möller Steffen

机构信息

Institute of Immunology, University of Rostock, Schillingallee 70, D-18057 Rostock, Germany.

出版信息

Bioinformatics. 2005 Apr 15;21(8):1737-8. doi: 10.1093/bioinformatics/bti209. Epub 2004 Dec 10.

Abstract

UNLABELLED

Genetic linkage and association studies define quantitative trait loci (QTLs) and susceptibility loci (SLs) that influence the phenotype of polygenic traits. A web-accessible application was created to identify intergenomic consensuses to fine map QTLs and SLs in silico and select particularly promising candidate genes for such traits. Furthermore, this approach offers an empirical evaluation of animal models for their applicability to the study of human traits.

AVAILABILITY

http://qtl.pzr.uni-rostock.de/qtlmix.php

CONTACT

serrano@pzr.uni-rostock.de.

摘要

未标注

遗传连锁和关联研究确定了影响多基因性状表型的数量性状基因座(QTL)和易感基因座(SL)。创建了一个可通过网络访问的应用程序,以识别基因组间的共识,从而在计算机上精细定位QTL和SL,并为这些性状选择特别有前景的候选基因。此外,这种方法还对动物模型在研究人类性状方面的适用性进行了实证评估。

可用性

http://qtl.pzr.uni-rostock.de/qtlmix.php

联系方式

serrano@pzr.uni-rostock.de

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