• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Pacific Symposium on Biocomputing 2006 >RELAXING HAPLOTYPE BLOCK MODELS FOR ASSOCIATION TESTING
【24h】

RELAXING HAPLOTYPE BLOCK MODELS FOR ASSOCIATION TESTING

机译：放松单例模块模型以进行关联测试

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The arrival of publicly available genome-wide variation data is creating new opportunities for reconciling model-based methods for associating genotypes and pheno-types with the complexities of real genome data. Such data is particularly valuable for testing the utility of models of conserved haplotype structure to association studies. While there is much interest in "haplotype block" models that assume population-wide regions of low diversity, there is also evidence that such models eliminate correlations potentially useful to association studies. We investigate the value of relaxing the rigidity of block models by developing an association testing method using the previously developed "haplotype motif" model, which retains the notion of representing haploid sequences as concatenations of conserved haplotypes but abandons the assumption of population-wide block boundaries. We compare the effectiveness of motif, block, and single-variant models at finding association with simulated phenotypes using real and simulated data. We conclude that the benefits of haplotype models in any form are modest, but that haplotype models in general and block-free models in particular are useful in picking up correlations near the boundaries of the detectable level.
机译：公开可获得的全基因组范围变异数据的出现为将基因型和表型与真实基因组数据的复杂性相关的基于模型的方法进行协调创造了新机会。此类数据对于测试保守的单倍型结构模型对关联研究的实用性特别有价值。尽管人们对“单倍型区组”模型非常感兴趣，这些模型假定了人群范围内多样性低的区域，但也有证据表明此类模型消除了可能对关联研究有用的关联。我们通过使用先前开发的“单倍型基序”模型开发关联测试方法来研究放松区块模型刚性的价值，该模型保留了将单倍体序列表示为保守单倍型串联的概念，但放弃了群体范围内区块边界的假设。我们在使用真实和模拟数据发现与模拟表型的关联时，比较了基序，模块和单变量模型的有效性。我们得出的结论是，任何形式的单倍型模型的好处都是适度的，但是一般的单倍型模型尤其是无障碍模型在拾取可检测水平边界附近的相关性时很有用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号