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全球人类群体中同型合子的基因组模式。

Genomic patterns of homozygosity in worldwide human populations.

机构信息

Department of Biology, Stanford University, Stanford, CA 94305, USA.

出版信息

Am J Hum Genet. 2012 Aug 10;91(2):275-92. doi: 10.1016/j.ajhg.2012.06.014.

Abstract

Genome-wide patterns of homozygosity runs and their variation across individuals provide a valuable and often untapped resource for studying human genetic diversity and evolutionary history. Using genotype data at 577,489 autosomal SNPs, we employed a likelihood-based approach to identify runs of homozygosity (ROH) in 1,839 individuals representing 64 worldwide populations, classifying them by length into three classes-short, intermediate, and long-with a model-based clustering algorithm. For each class, the number and total length of ROH per individual show considerable variation across individuals and populations. The total lengths of short and intermediate ROH per individual increase with the distance of a population from East Africa, in agreement with similar patterns previously observed for locus-wise homozygosity and linkage disequilibrium. By contrast, total lengths of long ROH show large interindividual variations that probably reflect recent inbreeding patterns, with higher values occurring more often in populations with known high frequencies of consanguineous unions. Across the genome, distributions of ROH are not uniform, and they have distinctive continental patterns. ROH frequencies across the genome are correlated with local genomic variables such as recombination rate, as well as with signals of recent positive selection. In addition, long ROH are more frequent in genomic regions harboring genes associated with autosomal-dominant diseases than in regions not implicated in Mendelian diseases. These results provide insight into the way in which homozygosity patterns are produced, and they generate baseline homozygosity patterns that can be used to aid homozygosity mapping of genes associated with recessive diseases.

摘要

全基因组范围内的纯合子区域模式及其在个体间的变化为研究人类遗传多样性和进化历史提供了有价值且经常未被充分利用的资源。我们使用 577489 个常染色体 SNP 的基因型数据,采用基于似然的方法在代表 64 个全球人群的 1839 个人中识别纯合子区域(ROH),根据长度将它们分为三类:短、中和长,并使用基于模型的聚类算法对其进行分类。对于每一类,每个个体的 ROH 数量和总长度在个体和人群之间都存在相当大的差异。每个个体的短和中 ROH 总长度随着与东非的距离的增加而增加,这与先前观察到的基因座间纯合性和连锁不平衡的类似模式一致。相比之下,长 ROH 的总长度个体间存在较大的差异,这可能反映了最近的近交模式,在已知有高频率近亲结婚的人群中,出现更高值的情况更频繁。在整个基因组中,ROH 的分布不均匀,并且具有独特的大陆模式。整个基因组上的 ROH 频率与局部基因组变量(如重组率)以及与近期正选择相关的信号相关。此外,长 ROH 在携带与常染色体显性疾病相关的基因的基因组区域比在不涉及孟德尔疾病的区域中更频繁出现。这些结果深入了解了纯合子模式产生的方式,并生成了可以用于辅助隐性疾病相关基因的纯合性映射的基线纯合子模式。

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