Evidence map›Paper›PMID 22485135›Full record

SynthesisPloS one2012

Circadian gene variants and susceptibility to type 2 diabetes: a pilot study.

M Ann Kelly, Simon D Rees, M Zafar I Hydrie, A Samad Shera, Srikanth Bellary, J Paul O'Hare, Sudhesh Kumar, Shahrad Taheri, Abdul Basit, Anthony H Barnett and 2 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Chrono-Nutrition: Circadian Rhythm and Personalized Nutrition.International journal of molecular sciences · 2023
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. The Impact of the Circadian GenesJournal of clinical medicine · 2020
    Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Association of osteoporosis with genetic variants of circadian genes in Chinese geriatrics.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016
    Article
  18. Review
  19. Review
  20. 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

12 authors at 4 institutions in 2 countries.

M Ann KellyCollege of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom. m.a.kelly@bham.ac.uk
Simon D Rees
M Zafar I Hydrie
A Samad Shera
Srikanth Bellary
J Paul O'Hare
Sudhesh Kumar
Shahrad Taheri
Abdul Basit
Anthony H Barnett
DIAGRAM Consortium
SAT2D Consortium
Heart of England NHS Foundation Trust · GBBaqai Institute of Diabetology and Endocrinology · PKUniversity of Warwick · GBUniversity of Birmingham · GB

Funding

Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
British Heart Foundation RG/08/014/24067Medical Research Council G0600717Medical Research Council MC_U106179471Wellcome Trust 090532Wellcome Trust 098395
6 · The paper itself

Abstract

backgroundDisruption of endogenous circadian rhythms has been shown to increase the risk of developing type 2 diabetes, suggesting that circadian genes might play a role in determining disease susceptibility. We present the results of a pilot study investigating the association between type 2 diabetes and selected single nucleotide polymorphisms (SNPs) in/near nine circadian genes. The variants were chosen based on their previously reported association with prostate cancer, a disease that has been suggested to have a genetic link with type 2 diabetes through a number of shared inherited risk determinants. METHODOLOGY/PRINCIPAL

findingsThe pilot study was performed using two genetically homogeneous Punjabi cohorts, one resident in the United Kingdom and one indigenous to Pakistan. Subjects with (N = 1732) and without (N = 1780) type 2 diabetes were genotyped for thirteen circadian variants using a competitive allele-specific polymerase chain reaction method. Associations between the SNPs and type 2 diabetes were investigated using logistic regression. The results were also combined with in silico data from other South Asian datasets (SAT2D consortium) and white European cohorts (DIAGRAM+) using meta-analysis. The rs7602358G allele near PER2 was negatively associated with type 2 diabetes in our Punjabi cohorts (combined odds ratio [OR] = 0.75 [0.66-0.86], p = 3.18 × 10(-5)), while the BMAL1 rs11022775T allele was associated with an increased risk of the disease (combined OR = 1.22 [1.07-1.39], p = 0.003). Neither of these associations was replicated in the SAT2D or DIAGRAM+ datasets, however. Meta-analysis of all the cohorts identified disease associations with two variants, rs2292912 in CRY2 and rs12315175 near CRY1, although statistical significance was nominal (combined OR = 1.05 [1.01-1.08], p = 0.008 and OR = 0.95 [0.91-0.99], p = 0.015 respectively). CONCLUSIONS/SIGNIFICANCE: None of the selected circadian gene variants was associated with type 2 diabetes with study-wide significance after meta-analysis. The nominal association observed with the CRY2 SNP, however, complements previous findings and confirms a role for this locus in disease susceptibility.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideCircadian Rhythm Signaling Peptides and ProteinsDiabetes Mellitus, Type 2FemaleGene FrequencyGenetic Association StudiesGenotyping TechniquesHumansMalePilot ProjectsRisk FactorsCircadian Rhythm Signaling Peptides and Proteins

Identifiers

PMID22485135
PMCPMC3317653
OpenAlexW2157631067

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.