Estimation of graphical models whose conditional independence graphs are interval graphs and its application to modeling linkage disequilibrium.
Estimation of graphical models whose conditional independence graphs are interval graphs and its application to modeling linkage disequilibrium.
复制标题
条件独立图为区间图的图模型估计及其在连锁不平衡建模中的应用。
DOI：
10.1016/j.csda.2008.02.003
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发表时间：
2009-03-15
影响因子：
1.8
通讯作者：
Thomas, Alun
中科院分区：
文献类型：
--
作者：
Thomas, Alun
估计的图形模型的条件独立图来自一般类的可分解图的估计相比，更严格的假设下，图是区间图。这种限制，以提高混合的马尔可夫链蒙特卡罗搜索找到一个最佳的模型，影响不大的单倍型频率所隐含的估计。进一步的限制，需要间隔，以涵盖指定的点也被认为是适当的建模等位基因之间的关联在遗传位点。除了有效地描述关联模式外，这些估计值还可以用于在统计基因作图方法（如连锁分析和关联研究）中对群体单倍型频率进行建模。
Estimation of graphical models whose conditional independence graph comes from the general class of decomposable graphs is compared with estimation under the more restrictive assumption that the graphs are interval graphs. This restriction is shown to improve the mixing of the Markov chain Monte Carlo search to find an optimal model with little effect on the haplotype frequencies implied by the estimates. A further restriction requiring intervals to cover specified points is also considered and shown to be appropriate for modeling associations between alleles at genetic loci. As well as usefully describing the patterns of associations, these estimates can also be used to model population haplotype frequencies in statistical gene mapping methods such as linkage analysis and association studies.
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影响因子：
9.8
作者：
Thomas, A;Camp, NJ
通讯作者：
Camp, NJ
影响因子：
2.1
作者：
Thomas, A
通讯作者：
Thomas, A
影响因子：
2.7
作者：
HASTINGS, WK
通讯作者：
HASTINGS, WK
影响因子：
5
作者：
Amos, C. I.;Chen, W. V.;Gregersen, P. K.
通讯作者：
Gregersen, P. K.
影响因子：
2.7
作者：
Giudici, P;Green, PJ
通讯作者：
Green, PJ