Genetics and Biochemistry Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States of America.
PLoS Genet. 2010 Jan 29;6(1):e1000831. doi: 10.1371/journal.pgen.1000831.
Hotspots of meiotic recombination can change rapidly over time. This instability and the reported high level of inter-individual variation in meiotic recombination puts in question the accuracy of the calculated hotspot map, which is based on the summation of past genetic crossovers. To estimate the accuracy of the computed recombination rate map, we have mapped genetic crossovers to a median resolution of 70 Kb in 10 CEPH pedigrees. We then compared the positions of crossovers with the hotspots computed from HapMap data and performed extensive computer simulations to compare the observed distributions of crossovers with the distributions expected from the calculated recombination rate maps. Here we show that a population-averaged hotspot map computed from linkage disequilibrium data predicts well present-day genetic crossovers. We find that computed hotspot maps accurately estimate both the strength and the position of meiotic hotspots. An in-depth examination of not-predicted crossovers shows that they are preferentially located in regions where hotspots are found in other populations. In summary, we find that by combining several computed population-specific maps we can capture the variation in individual hotspots to generate a hotspot map that can predict almost all present-day genetic crossovers.
热点的减数分裂重组可以迅速改变随着时间的推移。这种不稳定性和报告中的高水平的个体间变异减数分裂重组质疑的准确性计算的热点图,这是基于过去的遗传交叉的总和。估计计算的重组率图的准确性,我们映射的遗传交叉中位数分辨率为 70 kb 在 10 个 CEPH 家系。然后我们比较了位置的交叉点与热点计算从 HapMap 数据和广泛的计算机模拟比较观察到的分布的交叉点与分布预期从计算的重组率地图。在这里我们表明,一个人口平均的热点地图从连锁不平衡数据计算很好地预测目前的遗传交叉点。我们发现计算的热点地图准确地估计的强度和位置的减数分裂热点。深入研究的 not-predicted 交叉点表明,他们更喜欢位于热点发现在其他人群的地区。总之,我们发现通过结合几个计算特定人群的地图我们可以捕获变化的个体热点产生一个热点图,可以预测几乎所有目前的遗传交叉点。
