Literature DB >> 15728197

Genetic and environmental effects on fasting and postchallenge plasma glucose and serum insulin values in Finnish twins.

Shuichi Katoh1, Mikko Lehtovirta, Jaakko Kaprio, Valma Harjutsalo, Markku Koskenvuo, Johan Eriksson, Naoko Tajima, Jaakko Tuomilehto.   

Abstract

The aim of this study was to evaluate genetic and environmental effects on plasma glucose, insulin secretion, and resistance in Finnish twins. Altogether 151 randomly selected twin pairs were examined by the oral glucose tolerance test; 66 twin pairs were monozygotic and 85 like-sexed dizygotic. We estimated the intraclass correlation coefficients and variance components of genetic and environmental effects on waist circumference, plasma glucose, and serum insulin. For fasting insulin, the proportion of total variation accounted for by additive genetic effects (A) and nonshared environmental effects (E) were 43 and 57%, respectively. As to postchallenge insulin and waist circumference, A effects were stronger in female twins (51 and 70%, respectively) than male twins in whom no significant evidence for genetic variance was found. Of the variation in fasting glucose, A and E effects accounted for 45 and 55%, respectively. Of the variation in postchallenge glucose, E effects had a greater role (65%), compared with A effects (35%); A effects on pre- and postchallenge insulin levels were highly correlated (genetic correlation coefficient = 0.81). In conclusion, additive genetic effects are important for the insulin secretion, whereas nonshared environmental effects contribute strongly to peripheral insulin resistance.

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Year:  2005        PMID: 15728197     DOI: 10.1210/jc.2004-2471

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  10 in total

1.  Bivariate genetic modelling of the response to an oral glucose tolerance challenge: a gene x environment interaction approach.

Authors:  G F Liu; H Riese; T D Spector; M Mangino; S D O'Dell; R P Stolk; H Snieder
Journal:  Diabetologia       Date:  2009-03-14       Impact factor: 10.122

2.  Genetic risk scores in the prediction of plasma glucose, impaired insulin secretion, insulin resistance and incident type 2 diabetes in the METSIM study.

Authors:  Alena Stančáková; Teemu Kuulasmaa; Johanna Kuusisto; Karen L Mohlke; Francis S Collins; Michael Boehnke; Markku Laakso
Journal:  Diabetologia       Date:  2017-06-01       Impact factor: 10.122

3.  Circulating glycotoxins and dietary advanced glycation endproducts: two links to inflammatory response, oxidative stress, and aging.

Authors:  Jaime Uribarri; Weijing Cai; Melpomeni Peppa; Susan Goodman; Luigi Ferrucci; Gary Striker; Helen Vlassara
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2007-04       Impact factor: 6.053

4.  Genome-wide association analysis of metabolic traits in a birth cohort from a founder population.

Authors:  Chiara Sabatti; Susan K Service; Anna-Liisa Hartikainen; Anneli Pouta; Samuli Ripatti; Jae Brodsky; Chris G Jones; Noah A Zaitlen; Teppo Varilo; Marika Kaakinen; Ulla Sovio; Aimo Ruokonen; Jaana Laitinen; Eveliina Jakkula; Lachlan Coin; Clive Hoggart; Andrew Collins; Hannu Turunen; Stacey Gabriel; Paul Elliot; Mark I McCarthy; Mark J Daly; Marjo-Riitta Järvelin; Nelson B Freimer; Leena Peltonen
Journal:  Nat Genet       Date:  2008-12-07       Impact factor: 38.330

5.  Type 2 diabetes-related genetic risk scores associated with variations in fasting plasma glucose and development of impaired glucose homeostasis in the prospective DESIR study.

Authors:  Martine Vaxillaire; Loïc Yengo; Stéphane Lobbens; Ghislain Rocheleau; Elodie Eury; Olivier Lantieri; Michel Marre; Beverley Balkau; Amélie Bonnefond; Philippe Froguel
Journal:  Diabetologia       Date:  2014-06-04       Impact factor: 10.122

6.  Association of genetic Loci with glucose levels in childhood and adolescence: a meta-analysis of over 6,000 children.

Authors:  Adam Barker; Stephen J Sharp; Nicholas J Timpson; Nabila Bouatia-Naji; Nicole M Warrington; Stavroula Kanoni; Lawrence J Beilin; Soren Brage; Panos Deloukas; David M Evans; Anders Grontved; Neelam Hassanali; Deborah A Lawlor; Cecile Lecoeur; Ruth J F Loos; Stephen J Lye; Mark I McCarthy; Trevor A Mori; Ndeye Coumba Ndiaye; John P Newnham; Ioanna Ntalla; Craig E Pennell; Beate St Pourcain; Inga Prokopenko; Susan M Ring; Naveed Sattar; Sophie Visvikis-Siest; George V Dedoussis; Lyle J Palmer; Philippe Froguel; George Davey Smith; Ulf Ekelund; Nicholas J Wareham; Claudia Langenberg
Journal:  Diabetes       Date:  2011-04-22       Impact factor: 9.461

7.  Associations of common genetic variants with age-related changes in fasting and postload glucose: evidence from 18 years of follow-up of the Whitehall II cohort.

Authors:  Anders C Jensen; Adam Barker; Meena Kumari; Eric J Brunner; Mika Kivimäki; Aroon D Hingorani; Nicholas J Wareham; Adam G Tabák; Daniel R Witte; Claudia Langenberg
Journal:  Diabetes       Date:  2011-03-25       Impact factor: 9.461

8.  Evaluating the transferability of 15 European-derived fasting plasma glucose SNPs in Mexican children and adolescents.

Authors:  Christine Langlois; Arkan Abadi; Jesus Peralta-Romero; Akram Alyass; Fernando Suarez; Jaime Gomez-Zamudio; Ana I Burguete-Garcia; Fereshteh T Yazdi; Miguel Cruz; David Meyre
Journal:  Sci Rep       Date:  2016-10-26       Impact factor: 4.379

9.  Risk Alleles in/near ADCY5, ADRA2A, CDKAL1, CDKN2A/B, GRB10, and TCF7L2 Elevate Plasma Glucose Levels at Birth and in Early Childhood: Results from the FAMILY Study.

Authors:  Zahra N Sohani; Sonia S Anand; Sebastien Robiou-du-Pont; Katherine M Morrison; Sarah D McDonald; Stephanie A Atkinson; Koon K Teo; David Meyre
Journal:  PLoS One       Date:  2016-04-06       Impact factor: 3.240

10.  Pedigree- and SNP-Associated Genetics and Recent Environment are the Major Contributors to Anthropometric and Cardiometabolic Trait Variation.

Authors:  Charley Xia; Carmen Amador; Jennifer Huffman; Holly Trochet; Archie Campbell; David Porteous; Nicholas D Hastie; Caroline Hayward; Veronique Vitart; Pau Navarro; Chris S Haley
Journal:  PLoS Genet       Date:  2016-02-02       Impact factor: 5.917

  10 in total

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