Identifying the risk of producing aneuploids using meiotic recombination genes as biomarkers: A copy number variation approach

Background & objectives: Aneuploids are the most common chromosomal abnormality in liveborns and are usually the result of non-disjunction (NDJ) in meiosis. Copy number variations (CNVs) are large structural variations affecting the human genome. CNVs influence critical genes involved in causing...

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Main Authors: Raviraj V Suresh, Kusuma Lingaiah, Avinash M Veerappa, Nallur B Ramachandra
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-01-01
Series:Indian Journal of Medical Research
Subjects:
Online Access:http://www.ijmr.org.in/article.asp?issn=0971-5916;year=2017;volume=145;issue=1;spage=39;epage=50;aulast=Suresh
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spelling doaj-c979d9cc55f540658f7c0da6569fe30f2020-11-24T23:50:23ZengWolters Kluwer Medknow PublicationsIndian Journal of Medical Research0971-59162017-01-011451395010.4103/ijmr.IJMR_965_14Identifying the risk of producing aneuploids using meiotic recombination genes as biomarkers: A copy number variation approachRaviraj V SureshKusuma LingaiahAvinash M VeerappaNallur B RamachandraBackground & objectives: Aneuploids are the most common chromosomal abnormality in liveborns and are usually the result of non-disjunction (NDJ) in meiosis. Copy number variations (CNVs) are large structural variations affecting the human genome. CNVs influence critical genes involved in causing NDJ by altering their copy number which affects the clinical outcome. In this study influence of CNVs on critical meiotic recombination was examined using new computational technologies to assess their role in causing aneuploidy. Methods: This investigation was based on the analysis of 12 random normal populations consisting of 1714 individuals for aneuploid causing genes under CNV effect. To examine the effect of CNVs on genes causing aneuploidy, meiotic recombination genes were analyzed using EnrichR, WebGestalt and Ingenuity Pathway Analysis (IPA). Results: Forty three NDJ genes were found under CNV burden; IPA (Ingenuity Pathway Analysis) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis of CNV in meiotic recombination genes revealed a significant role of breast cancer gene 1, amyloid protein precursor, mitogen-activated protein kinase and nerve growth factor as key molecular players involved in causing aneuploidy. Interaction between these genes with other CNV-overlapping genes involved in cell cycle, recombination and meiosis might lead to increased incidences of aneuploidy. Interpretation & conclusions: The findings of this study implied that the effect of CNVs on normal genome contributed in amplifying the occurrences of chromosomal aneuploidies. The normal individuals consisting of variations in the susceptible genes causing aneuploids in the population remain undetected until the disorder genes express in the succeeding generations.http://www.ijmr.org.in/article.asp?issn=0971-5916;year=2017;volume=145;issue=1;spage=39;epage=50;aulast=SureshAneuploidy - copy number variations - meiotic recombination - non-disjunction
collection DOAJ
language English
format Article
sources DOAJ
author Raviraj V Suresh
Kusuma Lingaiah
Avinash M Veerappa
Nallur B Ramachandra
spellingShingle Raviraj V Suresh
Kusuma Lingaiah
Avinash M Veerappa
Nallur B Ramachandra
Identifying the risk of producing aneuploids using meiotic recombination genes as biomarkers: A copy number variation approach
Indian Journal of Medical Research
Aneuploidy - copy number variations - meiotic recombination - non-disjunction
author_facet Raviraj V Suresh
Kusuma Lingaiah
Avinash M Veerappa
Nallur B Ramachandra
author_sort Raviraj V Suresh
title Identifying the risk of producing aneuploids using meiotic recombination genes as biomarkers: A copy number variation approach
title_short Identifying the risk of producing aneuploids using meiotic recombination genes as biomarkers: A copy number variation approach
title_full Identifying the risk of producing aneuploids using meiotic recombination genes as biomarkers: A copy number variation approach
title_fullStr Identifying the risk of producing aneuploids using meiotic recombination genes as biomarkers: A copy number variation approach
title_full_unstemmed Identifying the risk of producing aneuploids using meiotic recombination genes as biomarkers: A copy number variation approach
title_sort identifying the risk of producing aneuploids using meiotic recombination genes as biomarkers: a copy number variation approach
publisher Wolters Kluwer Medknow Publications
series Indian Journal of Medical Research
issn 0971-5916
publishDate 2017-01-01
description Background & objectives: Aneuploids are the most common chromosomal abnormality in liveborns and are usually the result of non-disjunction (NDJ) in meiosis. Copy number variations (CNVs) are large structural variations affecting the human genome. CNVs influence critical genes involved in causing NDJ by altering their copy number which affects the clinical outcome. In this study influence of CNVs on critical meiotic recombination was examined using new computational technologies to assess their role in causing aneuploidy. Methods: This investigation was based on the analysis of 12 random normal populations consisting of 1714 individuals for aneuploid causing genes under CNV effect. To examine the effect of CNVs on genes causing aneuploidy, meiotic recombination genes were analyzed using EnrichR, WebGestalt and Ingenuity Pathway Analysis (IPA). Results: Forty three NDJ genes were found under CNV burden; IPA (Ingenuity Pathway Analysis) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis of CNV in meiotic recombination genes revealed a significant role of breast cancer gene 1, amyloid protein precursor, mitogen-activated protein kinase and nerve growth factor as key molecular players involved in causing aneuploidy. Interaction between these genes with other CNV-overlapping genes involved in cell cycle, recombination and meiosis might lead to increased incidences of aneuploidy. Interpretation & conclusions: The findings of this study implied that the effect of CNVs on normal genome contributed in amplifying the occurrences of chromosomal aneuploidies. The normal individuals consisting of variations in the susceptible genes causing aneuploids in the population remain undetected until the disorder genes express in the succeeding generations.
topic Aneuploidy - copy number variations - meiotic recombination - non-disjunction
url http://www.ijmr.org.in/article.asp?issn=0971-5916;year=2017;volume=145;issue=1;spage=39;epage=50;aulast=Suresh
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