Padhukasahasram Badri, Wall Jeffrey D, Marjoram Paul, Nordborg Magnus
Molecular and Computational Biology and Biostatistics Division, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California 90089, USA.
Genetics. 2006 Nov;174(3):1517-28. doi: 10.1534/genetics.106.060723. Epub 2006 Sep 15.
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.
我们描述了一种使用汇总统计量从群体遗传数据中联合估计交叉率和基因转换率的新方法。我们的方法在模拟数据集上进行了性能测试，并与R.R.哈德森的复合似然法进行了比较。对于几个现实的参数值，新方法在估计交叉率时的表现与复合似然法类似，而在估计基因转换率时表现更好。我们使用我们的方法分析了最近由珀尔根科学公司进行基因分型的人类数据集。
