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Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations

机译:单倍型和非遗传因素对人类人群调节和表型变异的贝叶斯关联

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摘要

Motivation: With the recent availability of large-scale data sets profiling single nucleotide polymorphisms (SNPs) and quantitative traits data across different human subpopulations, there has been much attention directed towards discovering patterns of genetic variation and their connection to gene regulation and the onset/progression of disease. While previous work has focused primarily on correlating individual SNP markers with gene expression and disease, it has been suggested that using haplotype blocks instead of individual markers can significantly increase statistical power.
机译:动机:随着最近获得可用于描述不同人类亚群的单核苷酸多态性(SNP)和定量性状数据的大规模数据集,人们越来越多地关注发现遗传变异的模式及其与基因调控和发病/疾病进展。尽管先前的工作主要集中在将单个SNP标记与基因表达和疾病相关联,但已建议使用单倍型模块代替单个标记可以显着提高统计能力。

著录项

  • 来源
    《Bioinformatics》 |2007年第13期|i212-i221|共10页
  • 作者单位

    Probabilistic and Statistical Inference Group University of Toronto Toronto ON M5S 3G4 Canada and;

    Microsoft Research Cambridge Cambridge CB3 0FB UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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