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Phenotype and genotype predictors of BMI variability among European adults by Goni, Leticia; García-Granero, Marta; Milagro, Fermín I.; Cuervo, Marta; Martínez, J. Alfredo is a Medicine article available to read on EtoBox.

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## 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 2

Who reads Phenotype and genotype predictors of BMI variability among European adults?

Author

Goni, Leticia; García-Granero, Marta; Milagro, Fermín I.; Cuervo, Marta; Martínez, J. Alfredo

Publisher

Nature Publishing Group; Springer Science and Business Media LLC; London: Nature Publishing; [London]: Springer Nature (ISSN 2044-4052)

Published

2018

Language

EN

Field

Medicine (Health Sciences)