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Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos.
Ruderman, Anahí; Pérez, Luis O; Adhikari, Kaustubh; Navarro, Pablo; Ramallo, Virginia; Gallo, Carla; Poletti, Giovanni; Bedoya, Gabriel; Bortolini, Maria C; Acuña-Alonzo, Victor; Canizales-Quinteros, Samuel; Rothhammer, Francisco; Ruiz-Linares, Andres; González-José, Rolando.
Afiliação
  • Ruderman A; Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina.
  • Pérez LO; Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina.
  • Adhikari K; School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, UK.
  • Navarro P; Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, UK.
  • Ramallo V; Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina.
  • Gallo C; Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina.
  • Poletti G; Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru.
  • Bedoya G; Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru.
  • Bortolini MC; Grupo de Genética Molecular (GENMOL), Universidad de Antioquia, Medellín, Colombia.
  • Acuña-Alonzo V; Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
  • Canizales-Quinteros S; Escuela Nacional de Antropología e Historia, Ciudad de México, Mexico.
  • Rothhammer F; Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
  • Ruiz-Linares A; Instituto de Alta Investigación Universidad de Tarapacá, Programa de Genética Humana, ICBM Facultad de Medicina, Universidad de Chile, Santiago, Chile.
  • González-José R; Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, UK.
Am J Hum Biol ; 31(5): e23278, 2019 09.
Article em En | MEDLINE | ID: mdl-31237064
ABSTRACT

OBJECTIVES:

This article aims to assess the contribution of genomic ancestry and socioeconomic status to obesity in a sample of admixed Latin Americans.

METHODS:

The study comprised 6776 adult volunteers from Brazil, Chile, Colombia, Mexico, and Peru. Each volunteer completed a questionnaire about socioeconomic variables. Anthropometric variables such as weight, height, waist, and hip circumference were measured to calculate body indices body mass index, waist-to-hip ratio and waist-to-height ratio (WHtR). Genetic data were extracted from blood samples, and ancestry was estimated using chip genotypes. Multiple linear regression was used to evaluate the relationship between the indices and ancestry, educational level, and economic well-being. The body indices were dichotomized to obesity indices by using appropriate thresholds. Odds ratios were calculated for each obesity index.

RESULTS:

The sample showed high percentages of obesity by all measurements. However, indices did not overlap consistently when classifying obesity. WHtR resulted in the highest prevalence of obesity. Overall, women with low education level and men with high economic wellness were more likely to be obese. American ancestry was statistically associated with obesity indices, although to a lesser extent than socioeconomic variables.

CONCLUSIONS:

The proportion of obesity was heavily dependent on the index and the population. Genomic ancestry has a significant influence on the anthropometric measurements, especially on central adiposity. As a whole, we detected a large interpopulation variation that suggests that better approaches to overweight and obesity phenotypes are needed in order to obtain more precise reference values.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores Socioeconômicos / Obesidade Tipo de estudo: Prevalence_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: America do sul / Brasil / Chile / Colombia / Mexico / Peru Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores Socioeconômicos / Obesidade Tipo de estudo: Prevalence_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: America do sul / Brasil / Chile / Colombia / Mexico / Peru Idioma: En Ano de publicação: 2019 Tipo de documento: Article