Global Analysis of Regional Differences in Craniometric Diversity and Population Substructure
Global Analysis of Regional Differences in Craniometric Diversity and Population Substructure
复制标题
颅骨多样性和人口亚结构区域差异的全球分析
DOI：
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
J. Relethford
中科院分区：
文献类型：
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作者：
J. Relethford
对主要地理区域遗传多样性的估计通常是通过将所有个体汇集到区域总量中来进行的。如果区域内的人口子结构存在差异，这种方法可能会使结果产生偏差，因为当地人口之间的差异增加可能会扩大区域多样性。估计区域多样性的首选方法是计算局部种群内的平均多样性。这两种方法都应用于全球颅骨测量数据样本，其中包括来自六个地理区域（撒哈拉以南非洲、欧洲、东亚、大洋洲、波利尼西亚和美洲）18个当地人群的1734个颅骨的57次测量。每个地区由三个当地人口代表。估计区域多样性的两种方法都表明，撒哈拉以南非洲具有最高水平的表型变异，这与许多遗传研究一致。当使用区域总量时，波利尼西亚和美洲都显示出高水平的区域多样性，但平均当地人口多样性最低。利用定量遗传方法对FST进行的区域估计表明，波利尼西亚和美洲的当地种群之间的分化程度也最高，这扩大了区域多样性。FST的区域差异与每个区域内样本的地理分布直接相关；当当地种群在地理上分散时，FST值会更高。这些结果表明地理抽样会影响结果，并建议在忽略种群子结构的情况下对区域多样性进行推断时要谨慎。
Estimates of genetic diversity in major geographic regions are frequently made by pooling all individuals into regional aggregates. This method can potentially bias results if there are differences in population substructure within regions, since increased variation among local populations could inflate regional diversity. A preferred method of estimating regional diversity is to compute the mean diversity within local populations. Both methods are applied to a global sample of craniometric data consisting of 57 measurements taken on 1734 crania from 18 local populations in six geographic regions: sub-Saharan Africa, Europe, East Asia, Australasia, Polynesia, and the Americas. Each region is represented by three local populations. Both methods for estimating regional diversity show sub-Saharan Africa to have the highest levels of phenotypic variation, consistent with many genetic studies. Polynesia and the Americas both show high levels of regional diversity when regional aggregates are used, but the lowest mean local population diversity. Regional estimates of FST made using quantitative genetic methods show that both Polynesia and the Americas also have the highest levels of differentiation among local populations, which inflates regional diversity. Regional differences in FST are directly related to the geographic dispersion of samples within each region; higher FST values occur when the local populations are geographically dispersed. These results show that geographic sampling can affect results, and suggest caution in making inferences regarding regional diversity when population substructure is ignored.
DOI：
10.1073/pnas.94.7.3100
发表时间：
1997-04-01
影响因子：
11.1
作者：
Jorde, LB;Rogers, AR;Harpending, HC
通讯作者：
Harpending, HC