通过对古代 DNA(aDNA)的创新分析,发现具有医学意义的常见染色体非整倍体。

Jaime Garcia-Heras
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引用次数: 0

摘要

目的:最近的两项研究通过新方法重新审查了史前/史前欧洲人以前的霰弹枪测序数据,发现了几种常染色体和性染色体非整倍体(Anastasiadou 等人,2024 年;Rohrlach 等人,2024 年)。这些疾病在当代人类中很常见,包括 18 和 21 三体综合征、克莱恩费尔特综合征(47,XXY)、47,XYY 综合征和 X/XX 马赛克特纳综合征。这些史前/历史上出现的、在现代医学遗传学中具有重要临床意义的染色体宪制综合征的发现是一个重要的突破。它们有助于更全面地划分过去人类的遗传特征,并推动开展更多的历史/史前研究,以发现其他当代遗传疾病。对人类遗骸中的古代 DNA(aDNA)进行分子剖析,并将其与人类学和考古学数据相结合,还可以更广泛地了解受遗传疾病影响的个体的社会和历史背景。在检测染色体非整倍体方面取得的这些进展,以及之前在古人类中发现的当前单基因综合征,也凸显了在我们的祖先身上检测其他当今常见遗传疾病的可能性。因此,我们有可能勾勒出现代遗传病的进化史,为它们的出现、突变模式、可能的选择机制以及相关的基因组机制建立一个时间表。
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The Discovery of Common Chromosome Aneuploidies with Medical Implications Through Innovative Analysis of Ancient DNA (aDNA).

Objectives: Two recent studies that re-examined through novel approaches previous shotgun sequencing data from prehistoric/historic Europeans uncovered several autosomal and sex chromosome aneuploidies (Anastasiadou et al., 2024; Rohrlach et al., 2024). These disorders, which are common in contemporary humans, were trisomies 18 and 21, Klinefelter syndrome (47,XXY), 47,XYY syndrome, and mosaic Turner syndrome X/XX. These discoveries about prehistoric/historic occurrence of constitutional chromosomal syndromes with high clinical significance in modern medical genetics are an important breakthrough. They contribute to a more comprehensive genetic delineation of past human populations and give impetus to perform more historic/prehistoric studies to discover other contemporary genetic disorders. A molecular profiling of ancient DNA (aDNA) from human remains added to anthropological and archaeological data may also give a broader picture of the social and historical contexts of individuals who were affected by genetic diseases. These advances in the detection of chromosome aneuploidies and previous discoveries of current monogenic syndromes in archaic hominins also highlight the possibility of detecting other genetic diseases of present-day occurrence in our ancestors. As a result, it might be feasible to delineate the evolutionary history of modern genetic diseases, establishing a timeline of their emergence, patterns of mutations, putative mechanisms of selection, and genomic mechanisms involved.

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