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IBDfinder和SNPsetter:用于在隐性遗传疾病个体中独立于系谱识别纯合子区域的工具。

IBDfinder and SNPsetter: tools for pedigree-independent identification of autozygous regions in individuals with recessive inherited disease.

作者信息

Carr Ian M, Sheridan Eamonn, Hayward Bruce E, Markham Alexander F, Bonthron David T

机构信息

Centre for Autozygosity Mapping and Section of Genetics, Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK.

出版信息

Hum Mutat. 2009 Jun;30(6):960-7. doi: 10.1002/humu.20974.

Abstract

Autozygosity mapping of recessive genes can be performed on a small number of affected individuals from consanguineous pedigrees. With the advent of microarray SNP analysis, acquiring genotype data has become extremely simple and quick, in comparison to gene mapping with microsatellite markers. However, the subsequent data analysis required to identify autozygous regions can still be a significant obstacle. For rapid gene identification, it may be desirable to integrate information from heterogeneous groups of affected individuals, both familial and isolated, under various assumptions of ancestry and locus heterogeneity, that are not amenable to formal linkage analysis. Unfortunately, there are few computer programs aimed specifically at facilitating this type of data sifting. Here, we demonstrate two new programs that facilitate the identification of autozygous regions within a heterogeneous SNP dataset derived from familial and sporadic affected individuals.

摘要

隐性基因的纯合性定位可在少数来自近亲家系的患病个体上进行。随着微阵列单核苷酸多态性(SNP)分析的出现,与使用微卫星标记进行基因定位相比,获取基因型数据变得极其简单和快捷。然而,识别纯合区域所需的后续数据分析仍然可能是一个重大障碍。为了快速进行基因识别,可能需要整合来自不同类型患病个体群体(包括家族性和散发性个体)的信息,这些个体基于各种不同的祖先和基因座异质性假设,而这些假设并不适用于正式的连锁分析。不幸的是,专门用于促进此类数据筛选的计算机程序很少。在此,我们展示了两个新程序,它们有助于在源自家族性和散发性患病个体的异质SNP数据集中识别纯合区域。

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