Document Type

Article

Publication Date

12-1-2008

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. © 2008 Macmillan Publishers Limited All rights reserved.

Publication Source (Journal or Book title)

International Journal of Obesity

First Page

1799

Last Page

1806

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