Analysis of biochemical genetic data on Jewish populations: II. Results and interpretations of heterogeneity indices and distance measures with respect to standards.
Analysis of biochemical genetic data on Jewish populations: II. Results and interpretations of heterogeneity indices and distance measures with respect to standards.
复制标题
犹太人群体的生化遗传数据分析：II。
DOI：
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发表时间：
1979
影响因子：
9.8
通讯作者：
B. Bonné
中科院分区：
文献类型：
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作者：
S. Karlin;Ron Kenett;B. Bonné
采用非参数统计方法对9个犹太人和6个非犹太人群体的生化频率数据进行了分析。使用了两类统计数据：异质性指数和相对于标准的各种距离度量。后者在利用历史、地理和文化相关信息方面更具歧视性。确定了种群之间的一些偏序和距离关系。我们在这项研究中关注的是分析犹太人群体之间的异同，就一些遗传标记的基因频率分布而言。讨论的典型问题如下：这些犹太人在某些形态和人体特征上有所不同。生化遗传构成是否有相应的差异？我们如何评估组间和组内的异质性程度？哪一类标记（血型或蛋白质位点）在不同的人群中区别更好？结果非常令人惊讶。例如，我们发现阿什肯纳兹犹太人、塞法迪犹太人和伊拉克犹太人在遗传结构上一直很接近，而与所有其他人群（即也门犹太人和科钦犹太人、阿拉伯人、非犹太人的德国人和俄罗斯人）的基因结构都很遥远。我们发现波兰犹太社区是所有犹太人口中最多样化的。血液基因座比蛋白质基因座更容易区分。对这些和其他结果提出了一些可能的解释和假设。为这种分析设计的方法应该证明对研究具有大量生化多态性数据的其他群体的相似性和差异性是有用的。
A nonparametric statistical methodology is used for the analysis of biochemical frequency data observed on a series of nine Jewish and six non-Jewish populations. Two categories of statistics are used: heterogeneity indices and various distance measures with respect to a standard. The latter are more discriminating in exploiting historical, geographical and culturally relevant information. A number of partial orderings and distance relationships among the populations are determined. Our concern in this study is to analyze similarities and differences among the Jewish populations, in terms of the gene frequency distributions for a number of genetic markers. Typical questions discussed are as follows: These Jewish populations differ in certain morphological and anthropometric traits. Are there corresponding differences in biochemical genetic constitution? How can we assess the extent of heterogeneity between and within groupings? Which class of markers (blood typings or protein loci) discriminates better among the separate populations? The results are quite surprising. For example, we found the Ashkenazi, Sephardi and Iraqi Jewish populations to be consistently close in genetic constitution and distant from all the other populations, namely the Yemenite and Cochin Jews, the Arabs, and the non-Jewish German and Russian populations. We found the Polish Jewish community the most heterogeneous among all Jewish populations. The blood loci discriminate better than the protein loci. A number of possible interpretations and hypotheses for these and other results are offered. The method devised for this analysis should prove useful in studying similarities and differences for other groups of populations for which substantial biochemical polymorphic data are available.