Evidence map›Paper›PMID 25605810›Full record

ArticleDiabetes2015

Association analysis of 29,956 individuals confirms that a low-frequency variant at CCND2 halves the risk of type 2 diabetes by enhancing insulin secretion.

Hanieh Yaghootkar, Alena Stancáková, Rachel M Freathy, Jagadish Vangipurapu, Michael N Weedon, Weijia Xie, Andrew R Wood, Ele Ferrannini, Andrea Mari, Susan M Ring and 17 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

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  7. The Māori and Pacific specific CREBRF variant and adult height.International journal of obesity (2005) · 2020
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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

27 authors at 9 institutions in 5 countries.

Hanieh YaghootkarGenetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, U.K.
Alena StancákováUniversity of Eastern Finland, Kuopio, Finland.
Rachel M FreathyGenetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, U.K.
Jagadish VangipurapuUniversity of Eastern Finland, Kuopio, Finland.
Michael N WeedonGenetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, U.K.
Weijia XieGenetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, U.K.
Andrew R WoodGenetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, U.K.
Ele FerranniniCNR Institute of Clinical Physiology, Pisa, Italy.
Andrea MariCNR Institute of Biomedical Engineering, Padova, Italy.
Susan M RingMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, U.K. School of Social and Community Medicine, University of Bristol, Bristol, U.K.
Debbie A LawlorMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, U.K. School of Social and Community Medicine, University of Bristol, Bristol, U.K.
George Davey SmithMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, U.K. School of Social and Community Medicine, University of Bristol, Bristol, U.K.
Torben JørgensenResearch Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Torben HansenNovo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
Oluf PedersenNovo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Valgerdur SteinthorsdottirdeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
Daniel F GuðbjartssondeCODE Genetics/Amgen, Inc., Reykjavik, Iceland School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland.
Gudmar ThorleifssondeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
Unnur ThorsteinsdottirdeCODE Genetics/Amgen, Inc., Reykjavik, Iceland Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
Kari StefanssondeCODE Genetics/Amgen, Inc., Reykjavik, Iceland Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
Andrew T HattersleyGenetics of Diabetes, University of Exeter Medical School, Exeter, U.K.
Mark WalkerInstitute of Cellular Medicine, The Medical School, Newcastle University, Newcastle, U.K.
Andrew D MorrisMedical Research Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, U.K.
Mark I McCarthyWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K. Oxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford, U.K. National Institute for Health Research Oxford Biomedical Research Centre, Churchill Hospital, Oxford, U.K.
Colin N A PalmerMedical Research Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, U.K.
Markku LaaksoUniversity of Eastern Finland, Kuopio, Finland Department of Medicine, Kuopio University Hospital, Kuopio, Finland.
Timothy M FraylingGenetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, U.K. t.m.frayling@ex.ac.uk.
University of Exeter · GBdeCODE Genetics (Iceland) · ISUniversity of Copenhagen · DKUniversity of Eastern Finland · FIUniversity of Iceland · ISIstituto di Fisiologia Clinica · ITKuopio University Hospital · FIOxford Centre for Diabetes, Endocrinology and Metabolism · GBUniversity of Southern Denmark · DK

Funding

European Research Council 323195Medical Research Council G0601261Medical Research Council MC_PC_15018Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/5Wellcome Trust 072960/z/03/zWellcome Trust 085541/Z/08/ZWellcome Trust 090532Wellcome Trust 098381Wellcome Trust 098395Wellcome Trust 099177/z12/zWellcome Trust 102215
6 · The paper itself

Abstract

A recent study identified a low-frequency variant at CCND2 associated with lower risk of type 2 diabetes, enhanced insulin response to a glucose challenge, higher height, and, paradoxically, higher BMI. We aimed to replicate the strength and effect size of these associations in independent samples and to assess the underlying mechanism. We genotyped the variant in 29,956 individuals and tested its association with type 2 diabetes and related traits. The low-frequency allele was associated with a lower risk of type 2 diabetes (OR 0.53; P = 2 × 10(-13); 6,647 case vs. 12,645 control subjects), higher disposition index (β = 0.07 log10; P = 2 × 10(-11); n = 13,028), and higher Matsuda index of insulin sensitivity (β = 0.02 log10; P = 5 × 10(-3); n = 13,118) but not fasting proinsulin (β = 0.01 log10; P = 0.5; n = 6,985). The low frequency allele was associated with higher adult height (β = 1.38 cm; P = 6 × 10(-9); n = 13,927), but the association of the variant with BMI (β = 0.36 kg/m(2); P = 0.02; n = 24,807), estimated in four population-based samples, was less than in the original publication where the effect estimate was biased by analyzing case subjects with type 2 diabetes and control subjects without diabetes separately. Our study establishes that a low-frequency allele in CCND2 halves the risk of type 2 diabetes primarily through enhanced insulin secretion.

Indexed as

AllelesBody Mass IndexCyclin D2Diabetes Mellitus, Type 2Gene FrequencyGenotypeHumansInsulinInsulin SecretionCCND2 protein, humanCyclin D2Insulin

Identifiers

PMID25605810
PMCPMC6071833
OpenAlexW2158045107

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.