School of Mathematics, Physics & Information Technology, James Cook University, Townsville, Queensland 4811, Australia, Department of Behavioural Ecology, Zoological Institute, University of Bern, Hinterkappelen, Switzerland.
Mol Ecol Resour. 2008 Mar;8(2):256-63. doi: 10.1111/j.1471-8286.2007.01940.x.
Previously reported maximum-likelihood pairwise relatedness (r) estimator of Thompson and Milligan (M) was extended to allow for negative r estimates under the regression interpretation of r. This was achieved by establishing the equivalency of the likelihoods used in the kinship program and the likelihoods of Thompson. The new maximum-likelihood (ML) estimator was evaluated by Monte Carlo simulations. It was found that the new ML estimator became unbiased significantly faster compared to the original M estimator when the amount of genotype information was increased. The effects of allele frequency estimation errors on the new and existing relatedness estimators were also considered.
先前报道的汤普森和米利根（M）最大似然对相关系数（r）估计量进行了扩展，允许在 r 的回归解释下出现负 r 估计值。这是通过建立亲缘关系程序中使用的似然与汤普森使用的似然的等效性来实现的。新的最大似然（ML）估计量通过蒙特卡罗模拟进行了评估。研究发现，当基因型信息量增加时，新的 ML 估计量相对于原始 M 估计量变得无偏的速度显著加快。还考虑了等位基因频率估计误差对新的和现有的相关系数估计量的影响。
