Evidence map›Paper›PMID 34319543›Full record

ArticleMolecular biology reports2021

Genetic analysis of colorectal carcinoma using high throughput single nucleotide polymorphism genotyping technique within the population of Jammu and Kashmir.

Bhanu Sharma, Shabab Angurana, Amrita Bhat, Sonali Verma, Divya Bakshi, Ghulam Rasool Bhat, Rajeshwer Singh Jamwal, Asif Amin, Raies Ahmed Qadri, Ruchi Shah and 1 more

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Article in Molecular biology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Bhanu SharmaSchool of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India.
Shabab AnguranaGovernment Medical College Jammu, Jammu, 180001, India.
Amrita BhatSchool of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India.
Sonali VermaSchool of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India.
Divya BakshiSchool of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India.
Ghulam Rasool BhatSchool of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India.
Rajeshwer Singh JamwalSchool of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India.
Asif AminDepartment of Biotechnology, University of Kashmir, Srinagar, 190006, India.
Raies Ahmed QadriDepartment of Biotechnology, University of Kashmir, Srinagar, 190006, India.
Ruchi ShahDepartment of Biotechnology, University of Kashmir, Srinagar, 190006, India. scientistdobt@gmail.com.ORCID http://orcid.org/0000-0002-7190-8716
Rakesh KumarSchool of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India. kumar.rakesh@smvdu.ac.in.
Shri Mata Vaishno Devi University · INUniversity of Kashmir · INGovernment Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSNP genotyping has become increasingly more common place to understand the genetic basis of complex diseases like cancer. SNP-genotyping through MassARRAY™ is a cost-effective method to quantitatively analyse the variation of gene expression in multiple samples, making it a potential tool to identify the underlying causes of colorectal carcinogenesis.

methodsIn the present study, SNP genotyping was carried out using Agena MassARRAY™, which is a cost-effective, robust, and sensitive method to analyse multiple SNPs simultaneously. We analysed 7 genes in 492 samples (100 cases and 392 controls) associated with CRC within the population of Jammu and Kashmir. These SNPs were selected based on their association with multiple cancers in literature.

resultsThis is the first study to explore these SNPs with colorectal cancer within the J&K population.7 SNPs with a call rate of 90% were selected for the study. Out of these, five SNPs rs2234593, rs1799966, rs2229080, rs8034191, rs1042522 were found to be significantly associated with the current study under the allelic model with an Odds Ratio OR = 2.981(1.731-5.136 at 95% CI); p value = 4.81E-05 for rs2234593,OR = 1.685(1.073-2.647 at 95% CI);; p value = 0.02292 for rs1799966, OR = 1.5 (1.1-2.3 at 95% CI), p value = 0.02 for rs2229080, OR = 1.699(1.035-2.791 at 95% CI); p value = 0.03521 for rs8034191, OR = 20.07 (11.26-35.75); p value = 1.84E-34 for rs1042522 respectively.

conclusionThis is the first study to find the relation of Genetic variants with the colorectal cancer within the studied population using high throughput MassARRAY™ technology. It is further anticipated that the variants should be evaluated in other population groups that may aid in understanding the genetic complexity and bridge the missing heritability.

Indexed as

AdultAgedAllelesAsian PeopleCase-Control StudiesColorectal NeoplasmsFemaleGenetic Predisposition to DiseaseGenetic TestingGenotypeGenotyping TechniquesHigh-Throughput Nucleotide SequencingHumansIndiaMaleMiddle AgedColorectal cancerJammu and KashmirMassARRAY™Single nucleotide polymorphism (SNPs)

Identifiers

PMID34319543
OpenAlexW3183204682

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.