Indian Journal of Human Genetics
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ORIGINAL ARTICLE
Year : 2014  |  Volume : 20  |  Issue : 2  |  Page : 166-174

Insertion-deletions burden in copy number polymorphisms of the Tibetan population


1 Department of Neurology, JSS Hospital, Mysore, Karnataka, India
2 Department of Studies in Zoology, University of Mysore, Manasagangotri, Mysore, Karnataka, India

Correspondence Address:
Nallur B Ramachandra
Department of Studies in Zoology, Genetics and Genomics Lab, University of Mysore, Manasagangotri, Mysore, Karnataka
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0971-6866.142888

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Background: Many studies have been conducted to identify either insertions-deletions (inDels) or copy number variations (CNVs) in humans, but few studies have been conducted to identify both of these forms coexisting in the same region. Aims and Objectives: To map the functionally significant sites within human genes that are likely to influence human traits and diseases. Materials and Methods: In this report, we describe an inDel map in the 1051 Tibetan CNV regions obtained through CNV genotyping using Affymetrix Genome-wide single nucleotide polymorphism 6.0 chip. InDel polymorphisms in these copy number polymorphism regions were identified with a computational approach using the 2500 deoxyribonucleic acid sequences obtained from the 1000 Genome Project. Results: The study identified a total of 95935 inDels that range from 1 bp to several bps in length which were found scattered across regulatory regions, exons and in introns of genes underlying the CNVs. A study on the distribution of inDels revealed that the majority of inDels were found in coding regions of the genome than the noncoding, while within the genes, inDels in intron regions were more followed by exonic regions and finally the regulatory regions. Conclusion: Study of inDels in CNV regions contribute to the enhanced understanding of the role played by the two variations and their collective influence on the genome. Further, a collection of these inDel genetic markers will aid in genetic mapping, further understanding of the phenotypic variability, identification of disease genes and in detecting novel CNVs.


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