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Unravelling the Complexity of Human Olfactory Receptor Repertoire by Copy Number Analysis across Population Using High Resolution Arrays

Olfactory receptors (OR), responsible for detection of odor molecules, belong to the largest family of genes and are highly polymorphic in nature having distinct polymorphisms associated with specific regions around the globe. Since there are no reports on the presence of copy number variations in O...

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Autores principales: Veerappa, Avinash M., Vishweswaraiah, Sangeetha, Lingaiah, Kusuma, Murthy, Megha, Manjegowda, Dinesh S., Nayaka, Radhika, Ramachandra, Nallur B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3700933/
https://www.ncbi.nlm.nih.gov/pubmed/23843967
http://dx.doi.org/10.1371/journal.pone.0066843
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author Veerappa, Avinash M.
Vishweswaraiah, Sangeetha
Lingaiah, Kusuma
Murthy, Megha
Manjegowda, Dinesh S.
Nayaka, Radhika
Ramachandra, Nallur B.
author_facet Veerappa, Avinash M.
Vishweswaraiah, Sangeetha
Lingaiah, Kusuma
Murthy, Megha
Manjegowda, Dinesh S.
Nayaka, Radhika
Ramachandra, Nallur B.
author_sort Veerappa, Avinash M.
collection PubMed
description Olfactory receptors (OR), responsible for detection of odor molecules, belong to the largest family of genes and are highly polymorphic in nature having distinct polymorphisms associated with specific regions around the globe. Since there are no reports on the presence of copy number variations in OR repertoire of Indian population, the present investigation in 43 Indians along with 270 HapMap and 31 Tibetan samples was undertaken to study genome variability and evolution. Analysis was performed using Affymetrix Genome-Wide Human SNP Array 6.0 chip, Affymterix CytoScan(®) High-Density array, HD-CNV, and MAFFT program. We observed a total of 1527 OR genes in 503 CNV events from 81.3% of the study group, which includes 67.6% duplications and 32.4% deletions encompassing more of genes than pseudogenes. We report human genotypic variation in functional OR repertoire size across populations and it was found that the combinatorial effect of both “orthologous obtained from closely related species” and “paralogous derived sequences” provide the complexity to the continuously occurring OR CNVs.
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spelling pubmed-37009332013-07-10 Unravelling the Complexity of Human Olfactory Receptor Repertoire by Copy Number Analysis across Population Using High Resolution Arrays Veerappa, Avinash M. Vishweswaraiah, Sangeetha Lingaiah, Kusuma Murthy, Megha Manjegowda, Dinesh S. Nayaka, Radhika Ramachandra, Nallur B. PLoS One Research Article Olfactory receptors (OR), responsible for detection of odor molecules, belong to the largest family of genes and are highly polymorphic in nature having distinct polymorphisms associated with specific regions around the globe. Since there are no reports on the presence of copy number variations in OR repertoire of Indian population, the present investigation in 43 Indians along with 270 HapMap and 31 Tibetan samples was undertaken to study genome variability and evolution. Analysis was performed using Affymetrix Genome-Wide Human SNP Array 6.0 chip, Affymterix CytoScan(®) High-Density array, HD-CNV, and MAFFT program. We observed a total of 1527 OR genes in 503 CNV events from 81.3% of the study group, which includes 67.6% duplications and 32.4% deletions encompassing more of genes than pseudogenes. We report human genotypic variation in functional OR repertoire size across populations and it was found that the combinatorial effect of both “orthologous obtained from closely related species” and “paralogous derived sequences” provide the complexity to the continuously occurring OR CNVs. Public Library of Science 2013-07-03 /pmc/articles/PMC3700933/ /pubmed/23843967 http://dx.doi.org/10.1371/journal.pone.0066843 Text en © 2013 Veerappa et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Veerappa, Avinash M.
Vishweswaraiah, Sangeetha
Lingaiah, Kusuma
Murthy, Megha
Manjegowda, Dinesh S.
Nayaka, Radhika
Ramachandra, Nallur B.
Unravelling the Complexity of Human Olfactory Receptor Repertoire by Copy Number Analysis across Population Using High Resolution Arrays
title Unravelling the Complexity of Human Olfactory Receptor Repertoire by Copy Number Analysis across Population Using High Resolution Arrays
title_full Unravelling the Complexity of Human Olfactory Receptor Repertoire by Copy Number Analysis across Population Using High Resolution Arrays
title_fullStr Unravelling the Complexity of Human Olfactory Receptor Repertoire by Copy Number Analysis across Population Using High Resolution Arrays
title_full_unstemmed Unravelling the Complexity of Human Olfactory Receptor Repertoire by Copy Number Analysis across Population Using High Resolution Arrays
title_short Unravelling the Complexity of Human Olfactory Receptor Repertoire by Copy Number Analysis across Population Using High Resolution Arrays
title_sort unravelling the complexity of human olfactory receptor repertoire by copy number analysis across population using high resolution arrays
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3700933/
https://www.ncbi.nlm.nih.gov/pubmed/23843967
http://dx.doi.org/10.1371/journal.pone.0066843
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