Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126 Bologna, Italy.
Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, 40126 Bologna, Italy.
Genes (Basel). 2019 Mar 15;10(3):222. doi: 10.3390/genes10030222.
Human longevity is a complex phenotype resulting from the combinations of context-dependent gene-environment interactions that require analysis as a dynamic process in a cohesive ecological and evolutionary framework. Genome-wide association (GWAS) and whole-genome sequencing (WGS) studies on centenarians pointed toward the inclusion of the apolipoprotein E () polymorphisms ε2 and ε4, as implicated in the attainment of extreme longevity, which refers to their effect in age-related Alzheimer's disease (AD) and cardiovascular disease (CVD). In this case, the available literature on and its involvement in longevity is described according to an anthropological and population genetics perspective. This aims to highlight the evolutionary history of this gene, how its participation in several biological pathways relates to human longevity, and which evolutionary dynamics may have shaped the distribution of haplotypes across the globe. Its potential adaptive role will be described along with implications for the study of longevity in different human groups. This review also presents an updated overview of the worldwide distribution of alleles based on modern day data from public databases and ancient DNA samples retrieved from literature in the attempt to understand the spatial and temporal frame in which present-day patterns of variation evolved.
人类的长寿是一种复杂的表型,是由依赖于上下文的基因-环境相互作用的组合产生的,这些相互作用需要在一个有凝聚力的生态和进化框架中作为一个动态过程进行分析。对百岁老人的全基因组关联 (GWAS) 和全基因组测序 (WGS) 研究表明,载脂蛋白 E () 多态性 ε2 和 ε4 与获得极端长寿有关,这与它们在与年龄相关的阿尔茨海默病 (AD) 和心血管疾病 (CVD) 中的作用有关。在这种情况下,根据人类学和群体遗传学的观点,描述了关于 及其在长寿中的作用的现有文献。这旨在强调该基因的进化历史、它在几种生物途径中的参与如何与人类的长寿相关,以及哪些进化动态可能塑造了全球范围内 单倍型的分布。还将描述其潜在的适应性作用及其对不同人类群体长寿研究的影响。本综述还根据来自公共数据库的现代数据和从文献中检索到的古代 DNA 样本,对 等位基因在全球的分布进行了最新概述,试图了解当今 变异模式进化的时空框架。