Evidence map›Paper›PMID 29063962›Full record

SynthesisMolecular genetics and genomics : MGG2018

Association of PGC-1α gene with type 2 diabetes in three unrelated endogamous groups of North-West India (Punjab): a case-control and meta-analysis study.

Rubina Sharma, Kawaljit Matharoo, Rohit Kapoor, A J S Bhanwer

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular genetics and genomics : MGG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
0.6field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Associations ofJournal of personalized medicine · 2025
    Article
  5. Review
  6. Interactive Associations betweenPharmaceuticals (Basel, Switzerland) · 2023
    Article
  7. Review
  8. Article
  9. 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

4 authors at 1 institution in 1 country.

Rubina SharmaDepartment of Human Genetics, Guru Nanak Dev University, Amritsar, Punjab, India.
Kawaljit MatharooDepartment of Human Genetics, Guru Nanak Dev University, Amritsar, Punjab, India. matharookawal@gmail.com.
Rohit KapoorHeart Station and Diabetes Clinic, Amritsar, India.
A J S BhanwerDepartment of Human Genetics, Guru Nanak Dev University, Amritsar, Punjab, India.
Guru Nanak Dev University · IN

Funding

Department of Biotechnology, Ministry of Science and Technology BT/PR8846/MED/12/327/2007
6 · The paper itself

Abstract

PGC-1α (Peroxisome proliferator-activated receptor gamma, coactivator 1 alpha) plays a key role in glucose homeostasis inside liver and muscle. The impact of six polymorphisms of PGC-1α with Type 2 Diabetes (T2D) susceptibility was evaluated on 1125 samples comprising of 554 T2D cases and 571 controls among three endogamous groups (Bania, Brahmin and Jat Sikh) of North-West India (Punjab). Single-locus analysis showed a significant differential pattern of genetic association of PGC-1α among studied groups emphasizing the role of ethnicity towards disease susceptibility. Haplotypes G-A-G-G-C-C in Bania group; G-G-G-G-C-A in Brahmin; G-A-A-G-T-C, G-G-G-G-T-C in Jat Sikh groups conferred ~ two to fivefold increased T2D risk. Intriguingly, the haplotype combination G-A-G-G-C-C provided T2D risk in Banias whereas it played a protective role in Brahmins reflecting the role of ethnic heterogeneity. In the secondary structure prediction of mRNA, slight free energy change along with structural changes was observed between the wild and variant allele of rs3736265, rs8192678 and rs2970847 loci. Meta-analyses conducted on rs8192678 and rs2970847 variants illustrated the overall effect of minor alleles providing a higher risk for the T2D development. Divergence in genetic variants and haplotype combinations associated with T2D risk among studied groups is inferred from the present dataset, which strongly highlights the combinatorial effect of diverse ethnic background of the population under study with genetics towards susceptibility to complex diseases like T2D.

Indexed as

AdultAgedAllelesCase-Control StudiesDiabetes Mellitus, Type 2EthnicityGene FrequencyGenetic Predisposition to DiseaseGenotypeHaplotypesHumansIndiaMiddle AgedPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPolymorphism, Single NucleotidePeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPPARGC1A protein, humanEndogamous groupHaplotypeMeta-analysisNorth-West IndiaPGC-1αType 2 diabetes

Identifiers

PMID29063962
OpenAlexW2765155031

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.