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首页> 外文期刊>Human Biology >Update to Blangero et al.'s 'Quantitative Trait Nucleotide Analysis Using Bayesian Model Selection' (2005): From QTL Localization to Functional Variant Identification
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Update to Blangero et al.'s 'Quantitative Trait Nucleotide Analysis Using Bayesian Model Selection' (2005): From QTL Localization to Functional Variant Identification

机译:更新了Blangero等人的“使用贝叶斯模型选择进行定量性状核苷酸分析”(2005年):从QTL定位到功能变异识别

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摘要

[...] with the tremendous growth of sequencing potential, we anticipate that this method will be of great value when we begin to completely sequence individual human genomes in search of QTLs in the near future. Besides laying out the general theory of BQTN analysis and providing a simulation-based example, we used the 2005 paper as an opportunity to describe our software implementing the technique in our SOLAR genetics analysis package. The growing recognition that genome-wide association analysis has failed to account for the observed heritabilities of all heretofore examined traits strongly suggests that most functional variation underlying human quantitative trait variation is likely to be rare. [...] only comprehensive deep sequencing approaches are likely to capture such functional variants.
机译:随着测序潜力的巨大增长,我们期望,在不久的将来,当我们开始完全测序单个人类基因组以寻找QTL时,这种方法将具有巨大的价值。除了列出BQTN分析的一般理论并提供基于仿真的示例外,我们还使用2005年论文作为机会描述了在SOLAR遗传学分析软件包中实现该技术的软件。人们日益认识到,全基因组关联分析无法解释迄今所检查的所有性状的遗传性,这强烈表明,人类定量性状变异的大多数功能变异很可能是罕见的。仅有全面的深度测序方法才能捕获此类功能变异。

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  • 来源
    《Human Biology》 |2009年第6期|p.849-852|共4页
  • 作者

    John Blangero;

  • 作者单位

    JOHN BLANGERO11 Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78227.;

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