Evidence map›Paper›PMID 31823921›Full record

ArticleThe Indian journal of medical research2019

Determination of individual type 2 diabetes risk profile in the North East Indian population & its association with anthropometric parameters.

Purabi Sarkar, Ananya Bhowmick, Manash P Baruah, Sahana Bhattacharjee, Poornima Subhadra, Sofia Banu

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. International journal of endocrinology · 2025
    Article
  3. Article
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 2 institutions in 2 countries.

Purabi SarkarDepartment of Bioengineering & Technology, Gauhati University, Guwahati, Assam, India.
Ananya BhowmickDepartment of Bioengineering & Technology, Gauhati University, Guwahati, Assam, India.
Manash P BaruahDepartment of Endocrinology, Excelcare Hospitals, Guwahati, Assam, India.
Sahana BhattacharjeeDepartment of Statistics, Gauhati University, Guwahati, Assam, India.
Poornima SubhadraDepartment of Genetics & Molecular Medicine, Kamineni Academy of Medical Sciences & Research Center, Hyderabad, Telangana, India.
Sofia BanuDepartment of Bioengineering & Technology, Gauhati University, Guwahati, Assam, India.
Gauhati University · INAcademy of Medical Sciences · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: Diabetes genomics research has illuminated single nucleotide polymorphism (SNP) in several genes including, fat mass and obesity associated (FTO) (rs9939609 and rs9926289), potassium voltage-gated channel subfamily J member 11 (rs5219), SLC30A 8 (rs13266634) and peroxisome proliferator-activated receptor gamma 2 (rs1805192). The present study was conducted to investigate the involvement of these polymorphisms in conferring susceptibility to type 2 diabetes (T2D) in the North East Indian population, and also to establish their association with anthropometric parameters. Methods: DNA was extracted from blood samples of 155 patients with T2D and 100 controls. Genotyping was performed by polymerase chain reaction-restriction fragment length polymorphism and DNA sequencing. To confirm the association between the inheritance of SNP and T2D development, logistic regression analysis was performed. Results: For the rs9939609 variant (FTO), the dominant model AA/(AT+TT) revealed significant association with T2D [odds ratio (OR)=2.03, P=0.021], but was non-significant post correction for multiple testing (P=0.002). For the rs13266634 variant (SLC30A 8), there was considerable but non-significant difference in the distribution pattern of genotypic polymorphisms between the patients and the controls (P=0.004). Significant association was observed in case of the recessive model (CC+CT)/TT (OR=4.56 P=0.001), after adjusting for age, gender and body mass index. In addition, a significant association (P=0.001) of low-density lipoprotein (mg/dl) could be established with the FTO (rs9926289) polymorphism assuming dominant model. Interpretation & conclusions: The current study demonstrated a modest but significant effect of SLC30A8 (rs13266634) polymorphisms on T2D predisposition. Considering the burgeoning prevalence of T2D in the Indian population, the contribution of these genetic variants studied, to the ever-increasing number of T2D cases, appears to be relatively low. This study may serve as a foundation for performing future genome-wide association studies (GWAS) involving larger populations.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAlpha-Ketoglutarate-Dependent Dioxygenase FTODiabetes Mellitus, Type 2FemaleHumansLogistic ModelsMaleMiddle AgedRiskZinc Transporter 8Alpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanSLC30A8 protein, humanZinc Transporter 8Body mass indexHbA 1c- hyperglycaemiaobesitypolymorphismtype 2 diabetes

Identifiers

PMID31823921
PMCPMC6902361
OpenAlexW2990864442

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.