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Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos

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dc.contributor.author Ruderman, Anahi
dc.contributor.author Perez, Luis O.
dc.contributor.author Adhikari, Kaustubh
dc.contributor.author Navarro, Pablo
dc.contributor.author Ramallo, Virginia
dc.contributor.author Gallo, Carla
dc.contributor.author Poletti, Giovanni
dc.contributor.author Bedoya, Gabriel
dc.contributor.author Bortolini, Maria C.
dc.contributor.author Acuna-Alonzo, Victor
dc.contributor.author Canizales-Quinteros, Samuel
dc.contributor.author Rothhammer, Francisco
dc.contributor.author Ruiz-Linares, Andres
dc.contributor.author Gonzalez-Jose, Rolando
dc.date.accessioned 2019-07-04T17:00:20Z
dc.date.available 2019-07-04T17:00:20Z
dc.date.issued 2019
dc.identifier.uri https://hdl.handle.net/20.500.12866/6868
dc.description.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. en_US
dc.language.iso eng
dc.publisher Wiley
dc.relation.ispartof urn:issn:1520-6300
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject genomic ancestry en_US
dc.subject socioeconomic status en_US
dc.subject obesity en_US
dc.subject body mass index en_US
dc.subject waist-to-hip ratio en_US
dc.subject waist-to-height ratio en_US
dc.subject chip genotypes en_US
dc.title Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos en_US
dc.type info:eu-repo/semantics/review
dc.identifier.doi https://doi.org/10.1002/ajhb.23278
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.00 es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.01.01

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