Applying an evolutionary mismatch framework to understand disease susceptibility.
Applying an evolutionary mismatch framework to understand disease susceptibility.
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DOI：
10.1371/journal.pbio.3002311
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发表时间：
2023-09
期刊：
影响因子：
9.8
通讯作者：
中科院分区：
文献类型：
--
作者：
全球非传染性疾病（NCDs）呈上升趋势。肥胖、心血管疾病和2型糖尿病是人类历史上罕见的、但现在很常见的一长串“生活方式”疾病。进化错配假说认为，人类在与我们目前所经历的环境截然不同的环境中进化；因此，曾经有利的性状现在可能“不匹配”并导致疾病。在遗传水平上，这一假说预测，具有选择历史的基因座将表现出“环境基因型”（GxE）相互作用，在“祖先”和“现代”环境中具有不同的健康影响。为了确定这些基因座，我们提倡将基因组工具与生活方式快速改变的生存水平群体结合起来。在这些人群中，对处于“匹配”和“不匹配”两个极端的个体进行比较是唯一可能的。更广泛地说，我们提出的工作将使我们了解不同祖先和文化中非传染性疾病的环境和遗传风险因素。人类在与我们目前所经历的环境截然不同的环境中进化；因此，曾经有利的性状现在可能是“不匹配”和致病的。在这篇论文中，作者主张将基因组工具与生活方式快速改变的生存水平群体的伙伴关系结合起来，以确定与疾病风险相关的遗传位点。
Noncommunicable diseases (NCDs) are on the rise worldwide. Obesity, cardiovascular disease, and type 2 diabetes are among a long list of “lifestyle” diseases that were rare throughout human history but are now common. The evolutionary mismatch hypothesis posits that humans evolved in environments that radically differ from those we currently experience; consequently, traits that were once advantageous may now be “mismatched” and disease causing. At the genetic level, this hypothesis predicts that loci with a history of selection will exhibit “genotype by environment” (GxE) interactions, with different health effects in “ancestral” versus “modern” environments. To identify such loci, we advocate for combining genomic tools in partnership with subsistence-level groups experiencing rapid lifestyle change. In these populations, comparisons of individuals falling on opposite extremes of the “matched” to “mismatched” spectrum are uniquely possible. More broadly, the work we propose will inform our understanding of environmental and genetic risk factors for NCDs across diverse ancestries and cultures. Humans evolved in environments that radically differ from those we currently experience; thus, traits that were once advantageous may now be “mismatched” and disease-causing. In this Essay, the authors advocate for combining genomic tools with partnerships with subsistence-level groups experiencing rapid lifestyle change to identify genetic loci associated with disease risk.
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DOI：
10.1126/science.aaf5098
发表时间：
2016-10-07
期刊：
Science (New York, N.Y.)
影响因子：
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作者：
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通讯作者：
Tishkoff SA
影响因子：
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作者：
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通讯作者：
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DOI：
10.1111/j.1749-6632.2009.05334.x
发表时间：
2010-01-01
期刊：
BIOLOGY OF DISADVANTAGE: SOCIOECONOMIC STATUS AND HEALTH
影响因子：
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作者：
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通讯作者：
Matthews, Karen A.
影响因子：
9.8
作者：
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通讯作者：
Meyre, David
影响因子：
16.6
作者：
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通讯作者：
Summer internship for INdigenous peoples in Genomics (SING) Consortium