Evidence map›Paper›PMID 18461161›Full record

ArticlePloS one2008

Post genome-wide association studies of novel genes associated with type 2 diabetes show gene-gene interaction and high predictive value.

Stéphane Cauchi, David Meyre, Emmanuelle Durand, Christine Proença, Michel Marre, Samy Hadjadj, Hélène Choquet, Franck De Graeve, Stefan Gaget, Frederic Allegaert and 13 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 7 pooled it
12.0field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 7 syntheses or guidelines pooled it, 162 citations in OpenAlex.

  1. Pooled it
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  3. Association between SLC30A8 rs13266634 Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2015
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  15. SNPs in the 3'-untranslated region ofJournal of diabetes and metabolic disorders · 2020
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  16. Emerging Roles for theBiomolecules · 2020
    Review
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  20. Type 2 Diabetes-Associated Genetic Polymorphisms as Potential Disease Predictors.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019
    Review

11 more citing papers are in PubMed but not listed here.

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

23 authors at 11 institutions in 7 countries.

Stéphane CauchiCNRS 8090-Institute of Biology, Pasteur Institute, Lille, France.
David Meyre
Emmanuelle Durand
Christine Proença
Michel Marre
Samy Hadjadj
Hélène Choquet
Franck De Graeve
Stefan Gaget
Frederic Allegaert
Jérôme Delplanque
Marshall Alan Permutt
Jon Wasson
Ilana Blech
Guillaume Charpentier
Beverley Balkau
Anne-Claire Vergnaud
Sébastien Czernichow
Wolfgang Patsch
Mohamed Chikri
Benjamin Glaser
Robert Sladek
Philippe Froguel
Institut Pasteur de Lille · FRCentre National de la Recherche Scientifique · FRConservatoire National des Arts et Métiers · FRHadassah Medical Center · ILInserm · FRWashington University in St. Louis · USCentre Hospitalier Sud Francilien · FRHammersmith Hospital · GBMcGill University · CAParacelsus Medical University · ATUniversité de Poitiers · FR

Funding

Medical Research Council G0600331
6 · The paper itself

Abstract

backgroundRecently, several Genome Wide Association (GWA) studies in populations of European descent have identified and validated novel single nucleotide polymorphisms (SNPs), highly associated with type 2 diabetes (T2D). Our aims were to validate these markers in other European and non-European populations, then to assess their combined effect in a large French study comparing T2D and normal glucose tolerant (NGT) individuals. METHODOLOGY/PRINCIPAL

findingsIn the same French population analyzed in our previous GWA study (3,295 T2D and 3,595 NGT), strong associations with T2D were found for CDKAL1 (OR(rs7756992) = 1.30[1.19-1.42], P = 2.3x10(-9)), CDKN2A/2B (OR(rs10811661) = 0.74[0.66-0.82], P = 3.5x10(-8)) and more modestly for IGFBP2 (OR(rs1470579) = 1.17[1.07-1.27], P = 0.0003) SNPs. These results were replicated in both Israeli Ashkenazi (577 T2D and 552 NGT) and Austrian (504 T2D and 753 NGT) populations (except for CDKAL1) but not in the Moroccan population (521 T2D and 423 NGT). In the overall group of French subjects (4,232 T2D and 4,595 NGT), IGFBP2 and CXCR4 synergistically interacted with (LOC38776, SLC30A8, HHEX) and (NGN3, CDKN2A/2B), respectively, encoding for proteins presumably regulating pancreatic endocrine cell development and function. The T2D risk increased strongly when risk alleles, including the previously discovered T2D-associated TCF7L2 rs7903146 SNP, were combined (8.68-fold for the 14% of French individuals carrying 18 to 30 risk alleles with an allelic OR of 1.24). With an area under the ROC curve of 0.86, only 15 novel loci were necessary to discriminate French individuals susceptible to develop T2D. CONCLUSIONS/SIGNIFICANCE: In addition to TCF7L2, SLC30A8 and HHEX, initially identified by the French GWA scan, CDKAL1, IGFBP2 and CDKN2A/2B strongly associate with T2D in French individuals, and mostly in populations of Central European descent but not in Moroccan subjects. Genes expressed in the pancreas interact together and their combined effect dramatically increases the risk for T2D, opening avenues for the development of genetic prediction tests.

Indexed as

Genome, HumanPolymorphism, Single NucleotideAdultAgedCyclin-Dependent Kinase 5Cyclin-Dependent Kinase Inhibitor p15Cyclin-Dependent Kinase Inhibitor p16Diabetes Mellitus, Type 2FranceGenetic MarkersHumansInsulin-Like Growth Factor Binding Protein 1Middle AgedOdds RatioPredictive Value of TeststRNA MethyltransferasesCDKAL1 protein, humanCDKN2B protein, humanCyclin-Dependent Kinase 5Cyclin-Dependent Kinase Inhibitor p15Cyclin-Dependent Kinase Inhibitor p16Genetic MarkersInsulin-Like Growth Factor Binding Protein 1tRNA Methyltransferases

Identifiers

PMID18461161
PMCPMC2346547
OpenAlexW2127738936

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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.