Evidence map›Paper›PMID 33820928›Full record

ArticleScientific reports2021

Common genetic variants and pathways in diabetes and associated complications and vulnerability of populations with different ethnic origins.

Sabrina Samad Shoily, Tamim Ahsan, Kaniz Fatema, Abu Ashfaqur Sajib

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
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  7. Integrating Polygenic Risk Scores (PRS) for Personalized Diabetes Care: Advancing Clinical Practice with Tailored Pharmacological Approaches.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Review
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  14. Association between Interleukin-6 Gene Polymorphism (BioMed research international · 2024
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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

4 authors at 2 institutions in 1 country.

Sabrina Samad ShoilyDepartment of Genetic Engineering and Biotechnology, University of Dhaka, Dhaka, Bangladesh.
Tamim AhsanDepartment of Genetic Engineering & Biotechnology, Bangabandhu Sheikh Mujibur Rahman Maritime University, Dhaka, Bangladesh.
Kaniz FatemaDepartment of Genetic Engineering and Biotechnology, University of Dhaka, Dhaka, Bangladesh.
Abu Ashfaqur SajibDepartment of Genetic Engineering and Biotechnology, University of Dhaka, Dhaka, Bangladesh. abu.sajib@du.ac.bd.
University of Dhaka · BDBangabandhu Sheikh Mujibur Rahman Maritime University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a complex and heterogeneous metabolic disorder which is often pre- or post-existent with complications such as cardiovascular disease, hypertension, inflammation, chronic kidney disease, diabetic retino- and nephropathies. However, the frequencies of these co-morbidities vary among individuals and across populations. It is, therefore, not unlikely that certain genetic variants might commonly contribute to these conditions. Here, we identified four single nucleotide polymorphisms (rs5186, rs1800795, rs1799983 and rs1800629 in AGTR1, IL6, NOS3 and TNFA genes, respectively) to be commonly associated with each of these conditions. We explored their possible interplay in diabetes and associated complications. The variant allele and haplotype frequencies at these polymorphic loci vary among different super-populations (African, European, admixed Americans, South and East Asians). The variant alleles are particularly highly prevalent in different European and admixed American populations. Differential distribution of these variants in different ethnic groups suggests that certain drugs might be more effective in selective populations rather than all. Therefore, population specific genetic architectures should be considered before considering a drug for these conditions.

Indexed as

Genetic VariationAllelesDiabetes ComplicationsDiabetes MellitusDrug ApprovalEthnicityGenetic Association StudiesHaplotypesHumansPolymorphism, Single NucleotideProtein Interaction Maps

Identifiers

PMID33820928
PMCPMC8021559
OpenAlexW3141915712

What OpenQuestion holds

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Registered trials

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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.