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.
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Acknowledgements
This work was supported by The National Heart, Lung and Blood Institute (NHLBI) Grant number HL53353-10.
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Tayo, B., Harders, R., Luke, A. et al. Latent common genetic components of obesity traits. Int J Obes 32, 1799–1806 (2008). https://doi.org/10.1038/ijo.2008.194
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DOI: https://doi.org/10.1038/ijo.2008.194
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