We describe a novel method for jointly estimating crossing-over and gene-conversion rates from population genetic data using summary statistics. The performance of our method was tested on simulated data sets and compared with the composite-likelihood method of R. R. Hudson. For several realistic parameter values, the new method performed similarly to the composite-likelihood approach for estimating crossing-over rates and better when estimating gene-conversion rates. We used our method to analyze a human data set recently genotyped by Perlegen Sciences.
展开▼
机译：我们描述了一种使用汇总统计数据从种群遗传数据中共同估算交叉和基因转化率的新方法。我们的方法的性能在模拟数据集上进行了测试，并与R. R. Hudson的复合似然法进行了比较。对于几个实际参数值，该新方法的执行类似于复合似然法，用于估计交叉率，并且在估计基因转换率时表现更好。我们使用我们的方法来分析最近由Perlegen Sciences进行基因分型的人类数据集。
展开▼
