Evidence map›Paper›PMID 31404179›Full record

ArticleDiabetology & metabolic syndrome2019

The combined role of allelic variants of

Anam Ijaz, Sana Babar, Sumbal Sarwar, Saleem Ullah Shahid, Shabana

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

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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

7 citing papers in PubMed.

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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

5 authors.

Anam Ijaz *Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan.
Sana Babar *Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan.
Sumbal SarwarDepartment of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan.
Saleem Ullah ShahidDepartment of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan.
Shabana *Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes mellitus is a multifactorial disorder characterized by a high level of glucose in the blood. Both genetic and environmental factors interact to cause diabetes. Insulin receptor substrate (

methodsWe collected 926 samples, 500 healthy controls (fasting blood sugar < 99 mg/dL, random blood sugar < 126 mg/dL) and 426 cases with diabetes (fasting blood sugar > 99 mg/dL, random blood sugar > 126 mg/dL). Several anthropometric measurements were measured. Statistical analysis was performed by using SPSS to determine the allele group/genotype frequency of the selected variants in the study population.

resultsThe genotyping results of G972R by RLFP-PCR showed the allelic frequency of G = 0.68 and R = 0.32 in controls while G = 0.71 and R = 0.29 in the cases. The minor R allele had a slightly higher frequency in the cases than the controls (OR = 0.86, CI 0.706-1.052,

conclusionIn conclusion, the single nucleotide polymorphisms with low-modest effect size may not affect the phenotype individually but when in combination, the effect becomes stronger and more visible, therefore, for the SNP association studies, the more the number of SNPs included in the analysis, the more meaningful the results.

Indexed as

Diabetes mellitusPakistanPCR-RFLPPolymorphisms

Identifiers

PMID31404179
PMCPMC6683393

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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.