Characterization of human crossover interference

Characterization of human crossover interference
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DOI:
10.1086/302923
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发表时间:
2000-06-01
影响因子:
9.8
通讯作者:
Weber, JL
Weber, JL
中科院分区:
生物学1区
文献类型:
--
作者:
Broman, KW;Weber, JL

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我们在8个CEPH家族8,000多个多态性基因型数据的基础上,对整个人类基因组的交叉干扰进行了分析。压倒性的证据被发现为强大的积极的交叉干扰,平均强度之间的Kosambi和卡特Falconer地图功能所暗示的干扰水平。五个数学模型的干扰进行了评估:伽马模型和四个版本的计数定位模型。伽马模型比其他四个模型更好地拟合数据。交叉距离分析在显示干扰和区分五种模型方面都大大优于交叉计数分析上级。与先前的建议相反,干扰被发现继续不间断地跨越着丝粒。没有令人信服的差异,在性别之间或染色体之间的干扰水平被发现,但是,我们确实检测到可能的个体差异的干扰之间的八个母亲。最后,我们提出了一个方程,提供了两个非重组,信息多态性之间的双交叉的发生概率。
We present an analysis of crossover interference over the entire human genome, on the basis of genotype data from more than 8,000 polymorphisms in eight CEPH families. Overwhelming evidence was found for strong positive crossover interference, with average strength lying between the levels of interference implied by the Kosambi and Carter-Falconer map functions. Five mathematical models of interference were evaluated: the gamma model and four versions of the count-location model. The gamma model fit the data far better than did any of the other four models. Analysis of intercrossover distances was greatly superior to the analysis of crossover counts, in both demonstrating interference and distinguishing between the five models. In contrast to earlier suggestions, interference was found to continue uninterrupted across the centromeres. No convincing differences in the levels of interference were found between the sexes or among chromosomes; however, we did detect possible individual variation in interference among the eight mothers. Finally, we present an equation that provides the probability of the occurrence of a double crossover between two nonrecombinant, informative polymorphisms.