Abstract

Background/Objective

Obesity is a complex and multifactorial disease resulting from the interactions among genetics, metabolic, behavioral, sociocultural and environmental factors. In this sense, the aim of the present study was to identify phenotype and genotype variables that could be relevant determinants of body mass index (BMI) variability.

Subjects/Methods

In the present study, a total of 1050 subjects (798 females; 76%) were included. Least angle regression (LARS) analysis was used as regression model selection technique, where the dependent variable was BMI and the independent variables were age, sex, energy intake, physical activity level, and 16 polymorphisms previously related to obesity and lipid metabolism.

Results

The LARS analysis obtained the following formula for BMI explanation: (64.7 + 0.10 × age [years] + 0.42 × gender [0, men; 1, women] + −40.6 × physical activity [physical activity level] + 0.004 × energy intake [kcal] + 0.74 × rs9939609 [0 or 1–2 risk alleles] + −0.72 × rs1800206 [0 or 1–2 risk alleles] + −0.86 × rs1801282 [0 or 1–2 risk alleles] + 0.87 × rs429358 [0 or 1–2 risk alleles]. The multivariable regression model accounted for 21% of the phenotypic variance in BMI. The regression model was internally validated by the bootstrap method (r2 original data set = 0.208, mean r2 bootstrap data sets = 0.210).

Conclusion

In conclusion, age, physical activity, energy intake and polymorphisms in FTO, APOE, PPARG and PPARA genes are significant predictors of the BMI trait.

Details

Title
Phenotype and genotype predictors of BMI variability among European adults
Author
Goni, Leticia 1 ; García-Granero, Marta 2 ; Milagro, Fermín I 3   VIAFID ORCID Logo  ; Cuervo, Marta 3   VIAFID ORCID Logo  ; Martínez, J Alfredo 3 

1  Department of Nutrition, Food Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Navarra, Spain; Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Navarra, Spain 
2  Department of Biochemistry and Genetics, Faculty of Sciences, University of Navarra, Pamplona, Navarra, Spain 
3  Department of Nutrition, Food Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Navarra, Spain; Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Navarra, Spain; Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Navarra, Spain 
Pages
1-8
Publication year
2018
Publication date
May 2018
Publisher
Nature Publishing Group
e-ISSN
20444052
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41387-018-0041-1
ProQuest document ID
2043153237
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.