首页> 外文会议>Pacific Symposium on Biocomputing 2004; Jan 6-10, 2004; Hawaii, USA >PEDIGREE GENERATION FOR ANALYSIS OF GENETIC LINKAGE AND ASSOCIATION
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PEDIGREE GENERATION FOR ANALYSIS OF GENETIC LINKAGE AND ASSOCIATION

机译:用于遗传链接和关联分析的前代生成

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We have developed a software package, SIMLA (simulation of linkage and association), which can be used to generate pedigree data under user-specified conditions. The number and location of disease loci, disease penetrances, marker locations, and marker disequilibrium with a disease locus and with other markers can be controlle. In addition, the pedigree size and availability of genotype data may also be specified, and a number of rules for family ascertainment are available. Estimates for power and type I errors can be evaluated under a variety of conditions, as needed by the user. We developed this simulation program because there are no publicly available programs to simulate variable levels of both recombination and linkage disequilibrium (LD) in general pedigrees. Genetic researchers are routinely applying both tests of linkage and family-based tests of association in the search for complex disease genes, and a plethora of different statistical approaches are available. Thus there is a need for the flexible statistical simulation program that we describe. This is the only program that we are aware of that allows simulation of linkage and association for multiple markers in extended pedigrees, nuclear families or in sets of unrelated cases and controls. Furthermore, the program not only allows for variable levels of LD among markers but also between markers and disease loci. SIMLA can simulate the complex and variable levels of LD that have been observed at close markers across the genome and allows for realistic simulation of complex relationships between markers. The program will be useful for studying and comparing existing statistical tests, for developing new genetic linkage and association statistics, planning sample sizes for new studies, and interpreting genetic analysis results.
机译:我们已经开发了软件包SIMLA(链接和关联的模拟),可用于在用户指定的条件下生成谱系数据。可以控制疾病位点的数量和位置,疾病外显率,标记物位置以及与疾病位点和其他标记物的标记物不平衡。另外,还可以指定谱系大小和基因型数据的可用性,并且有许多确定家庭的规则。用户可以根据需要在各种条件下评估功率和I型错误的估计值。我们开发此模拟程序是因为没有公开的程序可以模拟一般谱系中可变水平的重组和连锁不平衡(LD)。遗传研究人员在搜索复杂的疾病基因时通常会应用连锁测试和基于家庭的关联测试,并且有大量不同的统计方法可供使用。因此,需要我们描述的灵活的统计仿真程序。这是我们知道的唯一一个程序,它可以模拟谱系,核心家族或无关病例和对照集中的多个标记的连锁和关联。此外,该程序不仅允许标记之间的LD可变水平,还允许标记与疾病位点之间的LD可变水平。 SIMLA可以模拟在整个基因组中的接近标记处观察到的复杂和可变水平的LD,并可以现实地模拟标记之间的复杂关系。该程序对于研究和比较现有的统计测试,开发新的遗传连锁和关联统计数据,计划新研究的样本量以及解释遗传分析结果将非常有用。

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