Evidence map›Paper›PMID 26251103›Full record

ArticleMolecular genetics and genomics : MGG2016

Association of genetic variants in INS (rs689), INSR (rs1799816) and PP1G.G (rs1799999) with type 2 diabetes (T2D): a case-control study in three ethnic groups from North-West India.

Jasmine Sokhi, Ruhi Sikka, Priyanka Raina, Ramandeep Kaur, Kawaljit Matharoo, Punit Arora, Ajs Bhanwer

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Article in Molecular genetics and genomics : MGG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Jasmine SokhiDepartment of Human Genetics, Guru Nanak Dev University, Amritsar, 143 005, Punjab, India. jasminesokhi47@gmail.com.
Ruhi SikkaDepartment of Human Genetics, Guru Nanak Dev University, Amritsar, 143 005, Punjab, India. ruhisikka@gmail.com.
Priyanka RainaDepartment of Human Genetics, Guru Nanak Dev University, Amritsar, 143 005, Punjab, India. priyankaraina10@gmail.com.
Ramandeep KaurDepartment of Human Genetics, Guru Nanak Dev University, Amritsar, 143 005, Punjab, India. ramandeepkaur0609@gmail.com.
Kawaljit MatharooDepartment of Human Genetics, Guru Nanak Dev University, Amritsar, 143 005, Punjab, India. matharookawal@gmail.com.
Punit AroraDiabetic Clinic and Research Institute, 171, Green Avenue, Amritsar, 143001, Punjab, India. punit26@gmail.com.
Ajs BhanwerDepartment of Human Genetics, Guru Nanak Dev University, Amritsar, 143 005, Punjab, India. ajsbhanwer@gmail.com.
Guru Nanak Dev University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic contributions towards Type 2 diabetes (T2D) have been assessed through association studies across different world populations with inconsistencies. The majority of the T2D susceptibility loci are common across different races or populations but show ethnicity-specific differences. The pathogenesis of T2D involves genetic variants in the candidate genes. The interactions between the genes involved in insulin signaling and secretory pathways are believed to play an important role in determining an individual's susceptibility towards T2D. Therefore, the present study was initiated to examine the differences, if any, in the contribution of polymorphisms towards T2D susceptibility in the background of different ethnic specifications. The present case-control study included a total of 1216 T2D cases and healthy controls from three ethnic groups (Jat Sikhs, Banias and Brahmins) of North-West India. Polymorphisms were selected on the basis of information available in the literature for INS (rs689), INSR (rs1799816) and PP1G.G (rs1799999) in context to T2D. The genotyping was done using PCR-RFLP method. Statistical analysis was done using SPSS 16.0. The analyses revealed that INS (rs689) polymorphism conferred risk towards T2D susceptibility in all the three ethnic groups whereas INSR (rs1799816) polymorphism conferred risk towards T2D in Brahmins only and PP1G.G (rs1799999) polymorphism indicated T2D risk in Jat Sikhs only. Furthermore, interaction analyses indicated the cumulative role of three genetic variants in modulating T2D susceptibility in the three ethnic groups. In conclusion, our results substantiated the evidences for the role of ethnicity in differential susceptibility to T2D in the background of same genetic variants.

Indexed as

Antigens, CDCase-Control StudiesDiabetes Mellitus, Type 2EthnicityFemaleGenetic Predisposition to DiseaseGenotypeHumansIndiaMaleMiddle AgedPolymorphism, Single NucleotidePopulation GroupsReceptor, InsulinRiskAntigens, CDINSR protein, humanReceptor, InsulinEthnicityINSINSRNorth-West IndiaPP1G.GType 2 diabetes

Identifiers

PMID26251103
OpenAlexW2464522933

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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.