Estimation of pairwise identity by descent from dense genetic marker data in a population sample of haplotypes
Estimation of pairwise identity by descent from dense genetic marker data in a population sample of haplotypes
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DOI：
10.1534/genetics.107.084624
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发表时间：
2008-04-01
期刊：
影响因子：
3.3
通讯作者：
Browning, Sharon R.
中科院分区：
文献类型：
--
作者：
Browning, Sharon R.
我提出了一种新的方法来计算概率的身份下降对单倍型。该方法是基于一个联合隐马尔可夫模型的单倍型频率和身份的下降（IBD）。该模型允许连锁不平衡，并且该方法可以应用于非常密集的标记数据。该方法具有高功率检测IBD道的遗传长度为1厘米，与足够密集的标记的使用。这使得能够检测最近共同祖先生活在50代前的个体的单倍型之间的成对IBD。
I present a new approach for calculating probabilities of identity by descent for pairs of haplotypes. The approach is based on a joint hidden Markov model for haplotype frequencies and identity by descent (IBD). This model allows for linkage disequilibrium, and the method can be applied to very dense marker data. The method has high power for detecting IBD tracts of genetic length of 1 cM, with the use of sufficiently dense markers. This enables detection of pairwise IBD between haplotypes from individuals whose most recent common ancestor lived up to 50 generations ago.