...
首页> 外文期刊>BMC Genetics >Maximum likelihood estimates of two-locus recombination fractions under some natural inequality restrictions
【24h】

Maximum likelihood estimates of two-locus recombination fractions under some natural inequality restrictions

机译:在某些自然不等式约束下两基因重组分数的最大似然估计

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Background The goal of linkage analysis is to determine the chromosomal location of the gene(s) for a trait of interest such as a common disease. Three-locus linkage analysis is an important case of multi-locus problems. Solutions can be found analytically for the case of triple backcross mating. However, in the present study of linkage analysis and gene mapping some natural inequality restrictions on parameters have not been considered sufficiently, when the maximum likelihood estimates (MLEs) of the two-locus recombination fractions are calculated. Results In this paper, we present a study of estimating the two-locus recombination fractions for the phase-unknown triple backcross with two offspring in each family in the framework of some natural and necessary parameter restrictions. A restricted expectation-maximization (EM) algorithm, called REM is developed. We also consider some extensions in which the proposed REM can be taken as a unified method. Conclusion Our simulation work suggests that the REM performs well in the estimation of recombination fractions and outperforms current method. We apply the proposed method to a published data set of mouse backcross families.
机译:背景技术连锁分析的目的是确定感兴趣的性状如常见疾病的基因的染色体位置。三位元连锁分析是多位元问题的重要案例。对于三重回交交配,可以通过分析找到解决方案。然而,在当前的连锁分析和基因作图研究中,当计算两基因座重组级分的最大似然估计(MLE)时,尚未充分考虑对参数的某些自然不等式限制。结果在本文中,我们提出了在一些自然和必要的参数限制的框架下,估算每个家庭中两个后代的未知三重回交的两基因座重组分数的研究。开发了一种称为REM的受限期望最大化(EM)算法。我们还考虑了一些扩展,其中可以将建议的REM视为统一方法。结论我们的仿真工作表明,REM在重组分数的估计中表现良好,并且优于目前的方法。我们将建议的方法应用于鼠标回交家族的已发布数据集。

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