Literature DB >> 25605810

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 Yaghootkar1, Alena Stancáková2, Rachel M Freathy1, Jagadish Vangipurapu2, Michael N Weedon1, Weijia Xie1, Andrew R Wood1, Ele Ferrannini3, Andrea Mari4, Susan M Ring5, Debbie A Lawlor5, George Davey Smith5, Torben Jørgensen6, Torben Hansen7, Oluf Pedersen8, Valgerdur Steinthorsdottir9, Daniel F Guðbjartsson10, Gudmar Thorleifsson9, Unnur Thorsteinsdottir11, Kari Stefansson11, Andrew T Hattersley12, Mark Walker13, Andrew D Morris14, Mark I McCarthy15, Colin N A Palmer14, Markku Laakso16, Timothy M Frayling17.   

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.
© 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25605810      PMCID: PMC6071833          DOI: 10.2337/db14-1456

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  11 in total

1.  A randomized non-pharmacological intervention study for prevention of ischaemic heart disease: baseline results Inter99.

Authors:  Torben Jørgensen; Knut Borch-Johnsen; Troels F Thomsen; Hans Ibsen; Charlotte Glümer; Charlotta Pisinger
Journal:  Eur J Cardiovasc Prev Rehabil       Date:  2003-10

2.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

3.  Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes.

Authors:  Struan F A Grant; Gudmar Thorleifsson; Inga Reynisdottir; Rafn Benediktsson; Andrei Manolescu; Jesus Sainz; Agnar Helgason; Hreinn Stefansson; Valur Emilsson; Anna Helgadottir; Unnur Styrkarsdottir; Kristinn P Magnusson; G Bragi Walters; Ebba Palsdottir; Thorbjorg Jonsdottir; Thorunn Gudmundsdottir; Arnaldur Gylfason; Jona Saemundsdottir; Robert L Wilensky; Muredach P Reilly; Daniel J Rader; Yu Bagger; Claus Christiansen; Vilmundur Gudnason; Gunnar Sigurdsson; Unnur Thorsteinsdottir; Jeffrey R Gulcher; Augustine Kong; Kari Stefansson
Journal:  Nat Genet       Date:  2006-01-15       Impact factor: 38.330

4.  Identification of low-frequency and rare sequence variants associated with elevated or reduced risk of type 2 diabetes.

Authors:  Valgerdur Steinthorsdottir; Gudmar Thorleifsson; Patrick Sulem; Hannes Helgason; Niels Grarup; Asgeir Sigurdsson; Hafdis T Helgadottir; Hrefna Johannsdottir; Olafur T Magnusson; Sigurjon A Gudjonsson; Johanne M Justesen; Marie N Harder; Marit E Jørgensen; Cramer Christensen; Ivan Brandslund; Annelli Sandbæk; Torsten Lauritzen; Henrik Vestergaard; Allan Linneberg; Torben Jørgensen; Torben Hansen; Maryam S Daneshpour; Mohammad-Sadegh Fallah; Astradur B Hreidarsson; Gunnar Sigurdsson; Fereidoun Azizi; Rafn Benediktsson; Gisli Masson; Agnar Helgason; Augustine Kong; Daniel F Gudbjartsson; Oluf Pedersen; Unnur Thorsteinsdottir; Kari Stefansson
Journal:  Nat Genet       Date:  2014-01-26       Impact factor: 38.330

5.  TCF7L2 variants are associated with increased proinsulin/insulin ratios but not obesity traits in the Framingham Heart Study.

Authors:  E S Stolerman; A K Manning; J B McAteer; C S Fox; J Dupuis; J B Meigs; J C Florez
Journal:  Diabetologia       Date:  2009-01-31       Impact factor: 10.122

6.  The EGIR-RISC STUDY (The European group for the study of insulin resistance: relationship between insulin sensitivity and cardiovascular disease risk): I. Methodology and objectives.

Authors:  S A Hills; B Balkau; S W Coppack; J M Dekker; A Mari; A Natali; M Walker; E Ferrannini
Journal:  Diabetologia       Date:  2004-02-14       Impact factor: 10.122

7.  Physiology helps GWAS take a step closer to mechanism.

Authors:  Timothy M Frayling; Andrew T Hattersley
Journal:  Diabetes       Date:  2014-06       Impact factor: 9.461

8.  Cohort Profile: the 'children of the 90s'--the index offspring of the Avon Longitudinal Study of Parents and Children.

Authors:  Andy Boyd; Jean Golding; John Macleod; Debbie A Lawlor; Abigail Fraser; John Henderson; Lynn Molloy; Andy Ness; Susan Ring; George Davey Smith
Journal:  Int J Epidemiol       Date:  2012-04-16       Impact factor: 7.196

9.  Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes.

Authors:  Rona J Strawbridge; Josée Dupuis; Inga Prokopenko; Adam Barker; Emma Ahlqvist; Denis Rybin; John R Petrie; Mary E Travers; Nabila Bouatia-Naji; Antigone S Dimas; Alexandra Nica; Eleanor Wheeler; Han Chen; Benjamin F Voight; Jalal Taneera; Stavroula Kanoni; John F Peden; Fabiola Turrini; Stefan Gustafsson; Carina Zabena; Peter Almgren; David J P Barker; Daniel Barnes; Elaine M Dennison; Johan G Eriksson; Per Eriksson; Elodie Eury; Lasse Folkersen; Caroline S Fox; Timothy M Frayling; Anuj Goel; Harvest F Gu; Momoko Horikoshi; Bo Isomaa; Anne U Jackson; Karen A Jameson; Eero Kajantie; Julie Kerr-Conte; Teemu Kuulasmaa; Johanna Kuusisto; Ruth J F Loos; Jian'an Luan; Konstantinos Makrilakis; Alisa K Manning; María Teresa Martínez-Larrad; Narisu Narisu; Maria Nastase Mannila; John Ohrvik; Clive Osmond; Laura Pascoe; Felicity Payne; Avan A Sayer; Bengt Sennblad; Angela Silveira; Alena Stancáková; Kathy Stirrups; Amy J Swift; Ann-Christine Syvänen; Tiinamaija Tuomi; Ferdinand M van 't Hooft; Mark Walker; Michael N Weedon; Weijia Xie; Björn Zethelius; Halit Ongen; Anders Mälarstig; Jemma C Hopewell; Danish Saleheen; John Chambers; Sarah Parish; John Danesh; Jaspal Kooner; Claes-Göran Ostenson; Lars Lind; Cyrus C Cooper; Manuel Serrano-Ríos; Ele Ferrannini; Tom J Forsen; Robert Clarke; Maria Grazia Franzosi; Udo Seedorf; Hugh Watkins; Philippe Froguel; Paul Johnson; Panos Deloukas; Francis S Collins; Markku Laakso; Emmanouil T Dermitzakis; Michael Boehnke; Mark I McCarthy; Nicholas J Wareham; Leif Groop; François Pattou; Anna L Gloyn; George V Dedoussis; Valeriya Lyssenko; James B Meigs; Inês Barroso; Richard M Watanabe; Erik Ingelsson; Claudia Langenberg; Anders Hamsten; Jose C Florez
Journal:  Diabetes       Date:  2011-08-26       Impact factor: 9.461

10.  Changes in insulin sensitivity and insulin release in relation to glycemia and glucose tolerance in 6,414 Finnish men.

Authors:  Alena Stancáková; Martin Javorský; Teemu Kuulasmaa; Steven M Haffner; Johanna Kuusisto; Markku Laakso
Journal:  Diabetes       Date:  2009-02-17       Impact factor: 9.461

View more
  12 in total

Review 1.  Type 2 diabetes: genetic data sharing to advance complex disease research.

Authors:  Jason Flannick; Jose C Florez
Journal:  Nat Rev Genet       Date:  2016-07-11       Impact factor: 53.242

Review 2.  Islet biology, the CDKN2A/B locus and type 2 diabetes risk.

Authors:  Yahui Kong; Rohit B Sharma; Benjamin U Nwosu; Laura C Alonso
Journal:  Diabetologia       Date:  2016-05-07       Impact factor: 10.122

3.  Bayesian shrinkage estimation of high dimensional causal mediation effects in omics studies.

Authors:  Yanyi Song; Xiang Zhou; Min Zhang; Wei Zhao; Yongmei Liu; Sharon L R Kardia; Ana V Diez Roux; Belinda L Needham; Jennifer A Smith; Bhramar Mukherjee
Journal:  Biometrics       Date:  2019-12-19       Impact factor: 2.571

4.  The Metabolic Syndrome in Men study: a resource for studies of metabolic and cardiovascular diseases.

Authors:  Markku Laakso; Johanna Kuusisto; Alena Stančáková; Teemu Kuulasmaa; Päivi Pajukanta; Aldons J Lusis; Francis S Collins; Karen L Mohlke; Michael Boehnke
Journal:  J Lipid Res       Date:  2017-01-24       Impact factor: 5.922

5.  Glucose Induces Mouse β-Cell Proliferation via IRS2, MTOR, and Cyclin D2 but Not the Insulin Receptor.

Authors:  Rachel E Stamateris; Rohit B Sharma; Yahui Kong; Pantea Ebrahimpour; Deepika Panday; Pavana Ranganath; Baobo Zou; Helena Levitt; Nisha Abraham Parambil; Christopher P O'Donnell; Adolfo García-Ocaña; Laura C Alonso
Journal:  Diabetes       Date:  2016-01-06       Impact factor: 9.461

Review 6.  Genetics of Type 2 Diabetes: the Power of Isolated Populations.

Authors:  Mette Korre Andersen; Casper-Emil Tingskov Pedersen; Ida Moltke; Torben Hansen; Anders Albrechtsen; Niels Grarup
Journal:  Curr Diab Rep       Date:  2016-07       Impact factor: 4.810

7.  A Robust Example of Collider Bias in a Genetic Association Study.

Authors:  Felix R Day; Po-Ru Loh; Robert A Scott; Ken K Ong; John R B Perry
Journal:  Am J Hum Genet       Date:  2016-02-04       Impact factor: 11.025

8.  The Common p.R114W HNF4A Mutation Causes a Distinct Clinical Subtype of Monogenic Diabetes.

Authors:  Thomas W Laver; Kevin Colclough; Maggie Shepherd; Kashyap Patel; Jayne A L Houghton; Petra Dusatkova; Stepanka Pruhova; Andrew D Morris; Colin N Palmer; Mark I McCarthy; Sian Ellard; Andrew T Hattersley; Michael N Weedon
Journal:  Diabetes       Date:  2016-08-02       Impact factor: 9.461

9.  The difference in expression of long noncoding RNAs in rat semen induced by high-fat diet was associated with metabolic pathways.

Authors:  Tian An; Hui Fan; Yu F Liu; Yan Y Pan; Ying K Liu; Fang F Mo; Yu J Gu; Ya L Sun; Dan D Zhao; Na Yu; Yue Ma; Chen Y Liu; Qiu L Wang; Zheng Y Li; Fei Teng; Si Hua Gao; Guang J Jiang
Journal:  PeerJ       Date:  2017-07-25       Impact factor: 2.984

10.  Identification of Key Pathways and Genes in Obesity Using Bioinformatics Analysis and Molecular Docking Studies.

Authors:  Harish Joshi; Basavaraj Vastrad; Nidhi Joshi; Chanabasayya Vastrad; Anandkumar Tengli; Iranna Kotturshetti
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-24       Impact factor: 5.555

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.