Evidence map›Paper›PMID 28574013›Full record

ArticleThe Indian journal of medical research2017

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

Raviraj V Suresh, Kusuma Lingaiah, Avinash M Veerappa, Nallur B Ramachandra

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Article in The Indian journal of medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Raviraj V SureshDepartment of Studies in Genetics & Genomics, University of Mysore, Mysuru, India.
Kusuma LingaiahDepartment of Studies in Genetics & Genomics, University of Mysore, Mysuru, India.
Avinash M VeerappaDepartment of Studies in Genetics & Genomics, University of Mysore, Mysuru, India.
Nallur B RamachandraDepartment of Studies in Genetics & Genomics, University of Mysore, Mysuru, India.
University of Mysore · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectivesAneuploids 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.

methodsThis 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).

resultsForty 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 &

conclusionsThe 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.

Indexed as

BiomarkersRecombination, GeneticAdolescentAdultAgedAged, 80 and overAneuploidyDNA Copy Number VariationsFemaleGenome, HumanHumansIndiaMaleMeiosisMiddle AgedBiomarkers

Identifiers

PMID28574013
PMCPMC5460571
OpenAlexW2618856283

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