Skip to main content Accessibility help
×
Home
Hostname: page-component-846f6c7c4f-rmx46 Total loading time: 0.329 Render date: 2022-07-07T18:16:45.168Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "useRatesEcommerce": false, "useNewApi": true } hasContentIssue true

Anthropometry, Carbohydrate and Lipid Metabolism in the East Flanders Prospective Twin Survey: Linkage of Candidate Genes Using Two Sib-Pair Based Variance Components Analyses

Published online by Cambridge University Press:  21 February 2012

Nicole Y. Souren*
Affiliation:
Department of Complex Genetics, Maastricht University, the Netherlands; Nutrition and Toxicology Research Institute Maastricht (NUTRIM), Maastricht University, the Netherlands; Unit of Genetic Epidemiology, Department of Public Health and Epidemiology, University of Birmingham, United Kingdom. Nicole.Souren@GEN.unimaas.nl
Maurice P. Zeegers
Affiliation:
Department of Complex Genetics, Maastricht University, the Netherlands; Nutrition and Toxicology Research Institute Maastricht (NUTRIM), Maastricht University, the Netherlands; Unit of Genetic Epidemiology, Department of Public Health and Epidemiology, University of Birmingham, United Kingdom.
Rob G. J. H. Janssen
Affiliation:
Nutrition and Toxicology Research Institute Maastricht (NUTRIM), Maastricht University, the Netherlands; Genome Center Maastricht, Maastricht University, the Netherlands.
Anja Steyls
Affiliation:
Nutrition and Toxicology Research Institute Maastricht (NUTRIM), Maastricht University, the Netherlands; Division of Clinical Genetics, Academic Hospital Maastricht, the Netherlands.
Marij Gielen
Affiliation:
Department of Complex Genetics, Maastricht University, the Netherlands; Nutrition and Toxicology Research Institute Maastricht (NUTRIM), Maastricht University, the Netherlands; Unit of Genetic Epidemiology, Department of Public Health and Epidemiology, University of Birmingham, United Kingdom.
Ruth J. F. Loos
Affiliation:
Medical Research Council Epidemiology Unit, Cambridge, United Kingdom; Department of Biomedical Kinesiology, Faculty of Kinesiology and Rehabilitation Sciences, Katholieke Universiteit Leuven, Belgium.
Gaston Beunen
Affiliation:
Department of Biomedical Kinesiology, Faculty of Kinesiology and Rehabilitation Sciences, Katholieke Universiteit Leuven, Belgium.
Robert Fagard
Affiliation:
Hypertension and Cardiovascular Rehabilitation Unit, Department of Cardiovascular Diseases, Katholieke Universiteit Leuven, Belgium.
Alphons P. M. Stassen
Affiliation:
Division of Clinical Genetics, Academic Hospital Maastricht, the Netherlands.
Jeroen Aerssens
Affiliation:
Department of Internal Medicine, Johnson & Johnson Pharmaceutical Research & Development, Belgium.
Catherine Derom
Affiliation:
Department of Human Genetics, Faculty of Medicine, Katholieke Universiteit Leuven, Belgium.
Robert Vlietinck
Affiliation:
Department of Human Genetics, Faculty of Medicine, Katholieke Universiteit Leuven, Belgium.
Aimee D. C. Paulussen
Affiliation:
Nutrition and Toxicology Research Institute Maastricht (NUTRIM), Maastricht University, the Netherlands; Division of Clinical Genetics, Academic Hospital Maastricht, the Netherlands.
*
*Address for correspondence: NYP Souren, MSc, Maastricht University, Department of Complex Genetics, Universiteitssingel 50, 6200 MD, Maastricht, The Netherlands.

Abstract

HTML view is not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Insulin resistance and obesity are underlying causes of type 2 diabetes and therefore much interest is focused on the potential genes involved. A series of anthropometric and metabolic characteristic were measured in 240 MZ and 112 DZ twin pairs recruited from the East Flanders Prospective Twin Survey. Microsatellite markers located close to ABCC8, ADIPOQ, GCK, IGF1, IGFBP1, INSR, LEP, LEPR, PPARγ and the RETN gene were genotyped. Univariate single point variance components linkage analyses were performed using two methods: (1) the standard method, only comprising the phenotypic and genotypic data of the DZ twin pairs and (2) the extended method, also incorporating the phenotypic data of the MZ twin pairs. Suggestive linkages (LOD > 1) were observed between the ABCC8 marker and waist-to-hip ratio and HDL-cholesterol levels. Both markers flanking ADIPOQ showed suggestive linkage with triglycerides levels, the upstream marker also with body mass and HDL-cholesterol levels. The IGFBP1 marker showed suggestive linkage with fat mass, fasting insulin and leptin levels and the LEP marker showed suggestive linkage with birth weight. This study suggests that DNA variants in ABCC8, ADIPOQ, IGFBP1 and LEP gene region may predispose to type 2 diabetes. In addition, the two methods used to perform linkage analyses yielded similar results. This was however not the case for birth weight where chorionicity seems to be an important confounder.

Type
Articles
Copyright
Copyright © Cambridge University Press 2008
You have Access
5
Cited by

Save article to Kindle

To save this article to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Anthropometry, Carbohydrate and Lipid Metabolism in the East Flanders Prospective Twin Survey: Linkage of Candidate Genes Using Two Sib-Pair Based Variance Components Analyses
Available formats
×

Save article to Dropbox

To save this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you used this feature, you will be asked to authorise Cambridge Core to connect with your Dropbox account. Find out more about saving content to Dropbox.

Anthropometry, Carbohydrate and Lipid Metabolism in the East Flanders Prospective Twin Survey: Linkage of Candidate Genes Using Two Sib-Pair Based Variance Components Analyses
Available formats
×

Save article to Google Drive

To save this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you used this feature, you will be asked to authorise Cambridge Core to connect with your Google Drive account. Find out more about saving content to Google Drive.

Anthropometry, Carbohydrate and Lipid Metabolism in the East Flanders Prospective Twin Survey: Linkage of Candidate Genes Using Two Sib-Pair Based Variance Components Analyses
Available formats
×
×

Reply to: Submit a response

Please enter your response.

Your details

Please enter a valid email address.

Conflicting interests

Do you have any conflicting interests? *