Original Article
International Journal of Obesity (2008) 32, 1799–1806; doi:10.1038/ijo.2008.194; published online 21 October 2008
Latent common genetic components of obesity traits
B O Tayo1, R Harders1, A Luke1, X Zhu2 and R S Cooper1
- 1Department of Preventive Medicine and Epidemiology, Loyola University Chicago, Stritch School of Medicine, Maywood, IL, USA
- 2Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
Correspondence: Dr BO Tayo, Department of Preventive Medicine and Epidemiology, Loyola University Medical Center, 2106 South First Avenue, Bldg 105, Maywood, IL 60153, USA. E-mail: btayo@lumc.edu
Received 13 May 2008; Revised 14 September 2008; Accepted 21 September 2008; Published online 21 October 2008.
Abstract
Background:
Obesity is rapidly becoming a global epidemic. Unlike many complex human diseases, obesity is defined not just by a single trait or phenotype, but jointly by measures of anthropometry and metabolic status.
Methods:
We applied maximum likelihood factor analysis to identify common latent factors underlying observed covariance in multiple obesity-related measures. Both the genetic components and the mode of inheritance of the common factors were evaluated. A total of 1775 participants from 590 families for whom measures on obesity-related traits were available were included in this study.
Results:
The average age of participants was 37 years, 39% of the participants were obese (body mass index
30.0 kg/m2) and 26% were overweight (body mass index 25.0–29.9 kg/m2). Two latent common factors jointly accounting for over 99% of the correlations among obesity-related traits were identified. Complex segregation analysis of the age- and sex-adjusted latent factors provide evidence for a Mendelian mode of inheritance of major genetic effect with heritability estimates of 40.4 and 47.5% for the first and second factors, respectively.
Conclusions:
These findings provide a support for multivariate-based approach for investigating pleiotropic effects on obesity-related traits, which can be applied in both genetic linkage and association mapping.
Keywords:
heritability, latent genetic component, maximum likelihood factor analysis, obesity trait, pleiotropic, segregation analysis
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