Evidence map›Paper›PMID 24528214›Full record

SynthesisClinical endocrinology2014

Associations of genetic variants in/near body mass index-associated genes with type 2 diabetes: a systematic meta-analysis.

Bo Xi, Fumihiko Takeuchi, Aline Meirhaeghe, Norihiro Kato, John C Chambers, Andrew P Morris, Yoon Shin Cho, Weihua Zhang, Karen L Mohlke, Jaspal S Kooner and 10 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Clinical endocrinology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
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  3. Article
  4. Association of fat mass and obesity-associated (Journal of diabetes and metabolic disorders · 2022
    Review
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  13. IsOncotarget · 2017
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  16. Observational
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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

20 authors at 15 institutions in 9 countries.

Bo XiDepartment of Maternal and Child Health Care, School of Public Health, Shandong University, Jinan, China.
Fumihiko Takeuchi
Aline Meirhaeghe
Norihiro Kato
John C Chambers
Andrew P Morris
Yoon Shin Cho
Weihua Zhang
Karen L Mohlke
Jaspal S Kooner
Xiao Ou Shu
Hongwei Pan
E Shyong Tai
Haiyan Pan
Jer-Yuarn Wu
Donghao Zhou
Giriraj R Chandak
DIAGRAM Consortium
AGEN-T2D Consortium
SAT2D Consortium
Jinan University · CNNational Center for Global Health and Medicine · JPCentre for Cellular and Molecular Biology · INEaling Hospital · GBHallym University · KRImperial College London · GBInstitute of Biomedical Sciences, Academia Sinica · TWInstitut Pasteur de Lille · FRLinyi People's Hospital · CNNational Health Service · GBNational University Hospital · SGShandong University · CNUniversity of North Carolina at Chapel Hill · USUniversity of Oxford · GBVanderbilt University · US

Funding

Wellcome Trust 090532Wellcome Trust 098017
6 · The paper itself

Abstract

objectiveGenome-wide association studies have identified many obesity/body mass index (BMI)-associated loci in Europeans and East Asians. Since then, a large number of studies have investigated the role of BMI-associated loci in the development of type 2 diabetes (T2D). However, the results have been inconsistent. The objective of this study was to investigate the associations of eleven obesity/BMI loci with T2D risk and explore how BMI influences this risk.

methodsWe retrieved published literature from PubMed and Embase. The pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated using fixed- or random-effect models.

resultsIn the meta-analysis of 42 studies for 11 obesity/BMI-associated loci, we observed a statistically significant association of the FTO rs9939609 polymorphism (66 425 T2D cases/239 689 normoglycaemic subjects; P = 1·00 × 10(-41) ) and six other variants with T2D risk (17 915 T2D cases/27 531 normoglycaemic individuals: n = 40 629-130 001; all P < 0·001 for SH2B1 rs7498665, FAIM2 rs7138803, TMEM18 rs7561317, GNPDA2 rs10938397, BDNF rs925946 and NEGR1 rs2568958). After adjustment for BMI, the association remained statistically significant for four of the seven variants (all P < 0·05 for FTO rs9939609, SH2B1 rs7498665, FAIM2 rs7138803, GNPDA2 rs10938397). Subgroup analysis by ethnicity demonstrated similar results.

conclusionsThis meta-analysis indicates that several BMI-associated variants are significantly associated with T2D risk. Some variants increase the T2D risk independent of obesity, while others mediate this risk through obesity.

Indexed as

Body Mass IndexGenetic Predisposition to DiseasePolymorphism, Single NucleotideAlpha-Ketoglutarate-Dependent Dioxygenase FTOCase-Control StudiesDiabetes Mellitus, Type 2Genetic LociGenome-Wide Association StudyHumansProteinsAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanProteins

Identifiers

PMID24528214
PMCPMC5568704
OpenAlexW2104513338

What OpenQuestion holds

Textmetadata
LicenceTDM
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.