Evidence mapPaperPMID 36730981Full record

ArticlePloS one2023

Decoding type 2 diabetes mellitus genetic risk variants in Pakistani Pashtun ethnic population using the nascent whole exome sequencing and MassARRAY genotyping: A case-control association study.

Asif Jan, Zakiullah, Sajid Ali, Basir Muhammad, Amina Arshad, Yasar Shah, Haji Bahadur, Hamayun Khan, Fazli Khuda, Rani Akbar and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

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  8. Association ofGenes · 2023
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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

11 authors at 5 institutions in 1 country.

Asif JanDepartment of Pharmacy, University of Peshawar, Peshawar, Pakistan.ORCID 0000-0003-3880-5579
ZakiullahDepartment of Pharmacy, University of Peshawar, Peshawar, Pakistan.
Sajid AliDepartment of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan.
Basir MuhammadAtomic Energy Cancer Hospital, Swat Institute of Nuclear Medicine, Oncology & Radiotherapy, Swat, Pakistan.
Amina ArshadRashid Latif College of Pharmacy, Lahore, Pakistan.
Yasar ShahDepartment of Pharmacy, Abdul Wali Khan University, Mardan, Pakistan.ORCID 0000-0001-9354-8187
Haji BahadurInstitute of Pharmaceutical Sciences, Khyber Medical University, Peshawar, Pakistan.
Hamayun KhanDepartment of Pharmacy, University of Peshawar, Peshawar, Pakistan.
Fazli KhudaDepartment of Pharmacy, University of Peshawar, Peshawar, Pakistan.
Rani AkbarDepartment of Pharmacy, Abdul Wali Khan University, Mardan, Pakistan.
Kiran IjazInstitute of Pharmaceutical Sciences, Khyber Medical University, Peshawar, Pakistan.
University of Peshawar · PKAbdul Wali Khan University Mardan · PKKhyber Medical University · PKInstitute of Radiotherapy and Nuclear Medicine · PKRashid Latif Medical College · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies have greatly increased the number of T2DM associated risk variants but most of them have focused on populations of European origin. There is scarcity of such studies in developing countries including Pakistan. High prevalence of T2DM in Pakistani population prompted us to design this study. We have devised a two stage (the discovery stage and validation stage) case-control study in Pashtun ethnic population in which 500 T2DM cases and controls each have been recruited to investigate T2DM genetic risk variants. In discovery stage Whole Exome Sequencing (WES) was used to identify and suggest T2DM pathogenic SNPs, based on SIFT and Polyphen scores; whereas in validation stage the selected variants were confirmed for T2DM association using MassARRAY genotyping and appropriate statistical tests. Results of the study showed the target positive association of rs1801282/PPARG (OR = 1.24, 95%Cl = 1.20-1.46, P = 0.010), rs745975/HNF4A (OR = 1.30, 95%Cl = 1.06-1.38, P = 0.004), rs806052/GLIS3 (OR = 1.32, 95%Cl = 1.07-1.66, P = 0.016), rs8192552/MTNR1B (OR = 1.53, 95%Cl = 0.56-1.95, P = 0.012) and rs1805097/IRS-2 (OR = 1.27, 95%Cl = 1.36-1.92, P = 0.045), with T2DM; whereas rs6415788/GLIS3, rs61788900/NOTCH2, rs61788901/NOTCH2 and rs11810554/NOTCH2 (P>0.05) showed no significant association. Identification of genetic risk factors/variants can be used in defining high risk subjects assessment, and disease prevention.

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseCase-Control StudiesExome SequencingGenome-Wide Association StudyGenotypeHumansPakistanPolymorphism, Single Nucleotide

Identifiers

PMID36730981
PMCPMC9882913
OpenAlexW4319063510

What Socratic holds

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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 Socratic graph.