Phenotype and Genotype Predictors of BMI Variability Among European Adults

Overview

Journal Nutr Diabetes

Specialties Endocrinology
Nutritional Sciences

Date 2018 May 26

PMID 29795275

Citations 7

Authors

Leticia Goni

Marta Garcia-Granero

Fermin I Milagro

Marta Cuervo

J Alfredo Martinez

Affiliations

Soon will be listed here.

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 (r original data set = 0.208, mean r 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.

Citing Articles

Repercussions of absolute and time-rated BMI "yo-yo" fluctuations on cardiovascular stress-related morbidities within the vascular-metabolic CUN cohort.

Sanchez-Inigo L, Navarro-Gonzalez D, Martinez-Urbistondo D, Pastrana J, Fernandez-Montero A, Martinez J Front Endocrinol (Lausanne). 2023; 13:1087554.

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BMI variability and incident diabetes mellitus, Tehran Lipid and Glucose Study (TLGS).

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