在人类群体中检测和描述积极选择的全基因组检测和特征
Pardis C Sabeti1, Patrick Varilly, Ben Fry
1Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02139, USA. pardis@broad.mit.edu
Nature
|October 19, 2007
概括
科学家分析了人类遗传变异数据,以检测积极的自然选择. 这项研究确定了300多个候选区域和特定基因,揭示了世界各地不同人群的进化适应.
科学领域:
- 人类遗传学 人类遗传学
- 进化生物学 进化生物学
- 人口遗传学 人口遗传学
背景情况:
- 人类遗传变异的密集地图使得可以检测出正的自然选择.
- 国际HapMap项目提供了关于人类多形态的大量数据.
研究的目的:
- 识别人类群体中经历了积极自然选择的基因组区域和基因.
- 开发和应用用于检测最近和古代选择事件的方法.
主要方法:
- 来自国际HapMap项目第二阶段 (HapMap2) 超过300万个多态的分析.
- 使用"远程哈普洛型"方法用于最近的选择检测.
- 开发了用于选扫描的新型跨人群比较方法.
主要成果:
- 确定了300多个积极选择的强有力的候选地区.
- 确定了26个非同义编码单核酸多态体,具有区域选择证据.
- 突出了三个共同的生物过程中的基因案例,显示了同一个人群中的选择 (拉萨病毒耐药性,皮肤色素,毛囊发育).
结论:
- 人类群体显示了近期基因组中积极选择的证据.
- 与抗感染性,皮肤颜色和头发发育相关的特定基因是选择的关键目标.
- 该研究为审查候选地区提供了一个框架,以了解人类适应.
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