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Spectrum of large copy number variations in 26 diverse Indian populations: Potential involvement in phenotypic diversity

机译:26个不同印度人口中大拷贝数变异的光谱:潜在参与表型多样性

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Copy number variations (CNVs) have provided a dynamic aspect to the apparently static human genome. We have analyzed CNVs larger than 100 kb in 477 healthy individuals from 26 diverse Indian populations of different linguistic, ethnic and geographic backgrounds. These CNVRs were identified using the Affymetrix 50K Xba 240 Array. We observed 1,425 and 1,337 CNVRs in the deletion and amplification sets, respectively, after pooling data from all the populations. More than 50% of the genes encompassed entirely in CNVs had both deletions and amplifications. There was wide variability across populations not only with respect to CNV extent (ranging from 0.04-1.14% of genome under deletion and 0.11-0.86% under amplification) but also in terms of functional enrichments of processes like keratinization, serine proteases and their inhibitors, cadherins, homeobox, olfactory receptors etc. These did not correlate with linguistic, ethnic, geographic backgrounds and size of populations. Certain processes were near exclusive to deletion (serine proteases, keratinization, olfactory receptors, GPCRs) or duplication (homeobox, serine protease inhibitors, embryonic limb morphogenesis) datasets. Populations having same enriched processes were observed to contain genes from different genomic loci. Comparison of polymorphic CNVRs (5% or more) with those cataloged in Database of Genomic Variants revealed that 78% (2473) of the genes in CNVRs in Indian populations are novel. Validation of CNVs using Sequenom MassARRAY revealed extensive heterogeneity in CNV boundaries. Exploration of CNV profiles in such diverse populations would provide a widely valuable resource for understanding diversity in phenotypes and disease.
机译:拷贝数变异(CNV)为看似静态的人类基因组提供了动态方面。我们分析了来自26个语言,种族和地理背景不同的印度人口的477名健康个体中大于100 kb的CNV。这些CNVR使用Affymetrix 50K Xba 240阵列进行鉴定。在汇总所有人群的数据后,我们分别在缺失和扩增集中观察到1,425和1,337个CNVR。完全包含在CNV中的基因有50%以上具有缺失和扩增。不仅在CNV程度方面,人群之间存在很大差异(缺失时为基因组的0.04-1.14%,扩增时为基因组的0.11-0.86%),而且在角蛋白化,丝氨酸蛋白酶及其抑制剂等过程的功能富集方面,钙粘蛋白,同源异型盒,嗅觉受体等。这些与语言,种族,地理背景和人口规模均不相关。某些过程几乎不包含缺失(丝氨酸蛋白酶,角化,嗅觉受体,GPCR)或重复(同源盒,丝氨酸蛋白酶抑制剂,胚胎肢体形态发生)数据集。观察到具有相同富集过程的种群包含来自不同基因组基因座的基因。比较多态CNVR(5%或更多)与在基因组变异数据库中分类的CNVR,发现印度人口中CNVR的基因中有78%(2473)是新颖的。使用Sequenom MassARRAY进行的CNV验证显示CNV边界存在广泛的异质性。在这样多样化的人群中探索CNV谱将为理解表型和疾病的多样性提供广泛有价值的资源。

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