Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-23T18:20:36.796Z Has data issue: false hasContentIssue false
  • English
  • Français

Predictive power of individual genetic and environmental factor scores

Published online by Cambridge University Press:  21 February 2012

Martine A Thomis ,
Robert F Vlietinck ,
Hermine H Maes ,
Cameron J Blimkie ,
Marc van Leemputte ,
Albrecht L Claessens ,
Guy Marchal  and
Gaston P Beunen
Martine A Thomis*
Affiliation:
Center for Physical Development Research. [email protected]
Robert F Vlietinck
Affiliation:
Center for Human Genetics.
Hermine H Maes
Affiliation:
Virginia Institute for Psychiatric and Behavioral Genetics, Department of Human Genetics, Virginia Commonwealth University Virginia, Richmond, VA, USA.
Cameron J Blimkie
Affiliation:
Children's Sport and Exercise Science, The New Children's Hospital , Westmead, NSW, Australia.
Marc van Leemputte
Affiliation:
Exercise Physiology and Biomechanics Laboratory, Faculty of Physical Education and Physiotherapy, Leuven.
Albrecht L Claessens
Affiliation:
Center for Physical Development Research.
Guy Marchal
Affiliation:
Radiology Unit, Faculty of Medicine, Katholieke Universiteit Leuven, Belgium.
Gaston P Beunen
Affiliation:
Center for Physical Development Research.
*
*Correspondence: M Thomis, Faculty of Physical Education and Physiotherapy, Katholieke Universiteit Leuven, Tervuursevest 101, B-3001 Leuven, Belgium. Tel: 32 16 32 90 86; Fax: 32 16 32 91 97

Abstract

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

This study explores the use of an individual's genetic (IGFS) and environmental factor score (IEFS), constructed using genetic model fitting of a multivariate strength phenotype. Maximal isometric and dynamic strength measures, one maximal repetition load (1RM) and muscle cross-sectional area (MCSA) were measured in 25 monozygotic and 16 dizygotic twin pairs. The use of IGFS and IEFS in predicting the sensitivity to environmental stress was evaluated by the association of the scores with strength training gains after a 10-week high resistance strength training programme. Results show a high contribution of genetic factors to the covariation between maximal strength and muscle cross-sectional area (84–97%) at pre-training evaluation. Individual factor scores explained the largest part of the variation in 1RM and other strength measures at pre-training and post-training evaluation respectively. Genes that are switched on due to training stress (gene–environment interaction) could explain the decrease in explained variation over time. A negative correlation was found between IGFS and strength training gains (−0.24 to −0.51, P < 0.05); individuals with a high IGFS tend to gain less strength than individuals with low IGFS. Individual environmental factor scores have lower differential power. The predictive value of the IGFS has potential utility in identifying an individual's susceptibility to environmental stress in a variety of multifactorial characteristics, eg diseases and impairments, and for selection of sib pairs for QTL analyses. Twin Research (2000) 3, 99–108.

Keywords

genetic factor scorestwinspredictionenvironmental stressstrength trainingsib pair selection for QTLs
Type
Articles
Information
Twin Research and Human Genetics , Volume 3 , Issue 2 , 01 April 2000 , pp. 99 - 108
Copyright
Copyright © Cambridge University Press 2000