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空间分析与姓氏分析:揭示人类长寿模式的互补工具。

Spatial analysis and surname analysis: complementary tools for shedding light on human longevity patterns.

作者信息

Montesanto A, Passarino G, Senatore A, Carotenuto L, De Benedictis G

机构信息

Department of Cell Biology, University of Calabria. 87036 Rende, Italy.

出版信息

Ann Hum Genet. 2008 Mar;72(Pt 2):253-60. doi: 10.1111/j.1469-1809.2007.00405.x. Epub 2007 Dec 18.

Abstract

Starting from the observation that human longevity patterns show regional variations, we applied Spatial Analysis (using the Geographic Information System) and Surname Analysis to highlight the effect of the population genetic structure on such patterns. The study was carried out in Calabria, a southern Italian region which is characterized by a wide variability of geographic features (high mountains and deep valleys which created geographic isolates in the past). We identified three zones of high longevity: a male and a female longevity zone were located near the town of Cosenza (northern Calabria), while a male longevity zone was located in a mountainous and quite isolated part of the province of Reggio Calabria (southern Calabria). The latter zone was characterized by the lowest Female/Male ratio in nonagenarians observed to date. By applying surname analysis (Fisher's alpha) we found a significant negative correlation between surname abundance and index of longevity, showing that this isolated zone of male longevity presents a high level of inbreeding. On the whole, the results showed the effectiveness of spatial analysis in revealing geographical longevity patterns, and highlighted the importance of the population genetic structure in shaping such patterns.

摘要

从人类长寿模式存在区域差异这一观察结果出发,我们应用空间分析(利用地理信息系统)和姓氏分析来突出群体遗传结构对这些模式的影响。该研究在意大利南部的卡拉布里亚进行,该地区的地理特征具有很大的变异性(高山和深谷,过去形成了地理隔离)。我们确定了三个长寿高发区:一个男性长寿区和一个女性长寿区位于科森扎镇(卡拉布里亚北部)附近,而一个男性长寿区位于雷焦卡拉布里亚省(卡拉布里亚南部)一个多山且相当孤立的地区。后一个区域的特点是,到目前为止观察到的百岁老人中女性/男性比例最低。通过应用姓氏分析(费舍尔阿尔法系数),我们发现姓氏丰富度与长寿指数之间存在显著的负相关,表明这个男性长寿孤立区存在高度近亲繁殖。总体而言,结果表明空间分析在揭示地理长寿模式方面的有效性,并突出了群体遗传结构在塑造这些模式中的重要性。

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