Estimating meiotic gene conversion rates from population genetic data
Estimating meiotic gene conversion rates from population genetic data
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DOI：
10.1534/genetics.107.078907
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发表时间：
2007-10-01
期刊：
影响因子：
3.3
通讯作者：
McVean, G.
中科院分区：
文献类型：
--
作者：
Gay, J.;Myers, S.;McVean, G.
基因转换在塑造种群遗传多样性方面发挥着重要作用，但由于所涉及的 DNA 长度较短，因此很难估计其发生的速度。我们开发了一种新的统计方法，通过在存在交叉事件的情况下扩展现有的单倍型数据模型，来估计遗传变异的基因转化率。我们通过模拟表明，当基因转换事件的发生率至少与交叉事件的发生率相当时，该方法提供了一种强大的方法来检测基因转换并估计其发生率。将该方法应用于来自果蝇端粒 X 染色体的数据（其中交叉活动受到抑制），表明基因转换发生的频率比交叉事件高 400 倍。我们还将该方法扩展到估计可变交叉和基因转换率，并估计基因转换率比人类 1 号染色体上已知重组热点区域的交叉率高出 1.5 倍。
Gene conversion plays an important part in shaping genetic diversity in populations, yet estimating the rate at which it occurs is difficult because of the short lengths of DNA involved. We have developed a new statistical approach to estimating gene conversion rates from genetic variation, by extending an existing model for haplotype data in the presence of crossover events. We show, by simulation, that when the rate of gene conversion events is at least comparable to the rate of crossover events, the method provides a powerful approach to the detection of gene conversion and estimation of its rate. Application of the method to data from the telomeric X chromosome of Drosophila melanogaster in which crossover activity is suppressed, indicates that gene conversion occurs similar to 400 times more often than crossover events. We also extend the method to estimating variable crossover and gene conversion rates and estimate the rate of gene conversion to be similar to 1.5 times higher than the crossover rate in a region of human chromosome 1 with known recombination hotspots.