Evidence map›Paper›PMID 36292185›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Analysis of Rare Alleles of

Rashida Khan, Samina Asghar Abbasi, Qaisar Mansoor, Mehvish Naseer Ahmed, Kahkashan Bashir Mir, Ruqia Mehmood Baig

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Cells · 2025
    Article
  4. Article
  5. Review
4 · The record

Corrections and comments

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

6 authors at 3 institutions in 1 country.

Rashida KhanDepartment of Zoology, PMAS-Arid Agriculture University, Rawalpindi 46300, Pakistan.
Samina Asghar AbbasiDepartment of Zoology, PMAS-Arid Agriculture University, Rawalpindi 46300, Pakistan.
Qaisar MansoorInstitute of Biomedical and Genetic Engineering (IBGE), Islamabad 44000, Pakistan.
Mehvish Naseer AhmedDepartment of Zoology, PMAS-Arid Agriculture University, Rawalpindi 46300, Pakistan.
Kahkashan Bashir MirNuclear Medicine, Oncology and Radiotherapy Institute (NORI), Islamabad 44000, Pakistan.
Ruqia Mehmood BaigDepartment of Zoology, PMAS-Arid Agriculture University, Rawalpindi 46300, Pakistan.
Pir Mehr Ali Shah Arid Agriculture University · PKInstitute of Biomedical and Genetic Engineering · PKKarachi Institute of Radiotherapy and Nuclear Medicine · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rationale: The miRNAs are short non-coding functional RNAs that are involved in the regulation of transcriptomes. It was found that human miRNA-146a and miRNA34b/c are important microRNAs and are functioning either as onco-miRNAs, or acting as tumor suppressors, in different conditions. To date, no study has been performed to evaluate the alterations of miRNA-146ars2910164 and miRNA34b/crs4938723 polymorphism as a risk factor in the development of thyroid cancer in the Pakistani population. Mutational analysis of rs2910164 and rs4938723 of miRNA-146a and miRNA-34b/c was carried out to check their association with the development of thyroid carcinogenesis. Material and Methods: Papillary thyroid cancer (PTC) patients with age and gender-matched controls were recruited for the present study. DNA extraction, genotyping of rs2910164 and rs4938723 was carried out by ARMS-PCR. Statistical analyses were carried out using SPSS software (version 20). Results: The odds ratio for risk allele C of rs2910164 for patients and controls was 23.0168 (3.0321−174.7208) with a p-value of <0.0001, showing that the frequency of the major allele G was lower in patients while the frequency of minor allele C was higher in patients. Similarly, the odds ratio for risk allele C of rs4938723 was 1.8621 (1.0321−3.3596) with a p-value of <0.03788 showing significant association with the development of thyroid cancer. Conclusions: The study highlights the significant association of miRNAs SNPs as one of the genetic risk factor for PTC. It was concluded that miRNA-146a (rs2910164) showed higher frequency of minor allele C in patients. Similarly in miRNA-34b/c gene SNP rs4938723 was observed to have a strong association with the development of thyroid cancer as the frequency of rare allele C was higher in patients.

Indexed as

miRNA-146amiRNA-34b/cpapillary thyroid carcinomars2910164rs4938723thyroid cancer

Identifiers

PMID36292185
PMCPMC9600261
OpenAlexW4306377280

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.