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

Autores
Ruderman, Anahí; Perez, Luis Orlando; Adhikari, Kaustubh; Navarro, Pablo; Ramallo, Virginia; Gallo, Carla; Poletti, Giovanni; Bedoya Berrío, Gabriel; Bortolini, María Cátira; Acuña Alonzo, Victor; Canizales Quinteros, Samuel; Rothhammer, Francisco; Ruiz-Linares, Andres; González José, Rolando
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Ruderman, Anahí. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
Fil: Perez, Luis Orlando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
Fil: Adhikari, Kaustubh. Colegio Universitario de Londres; Reino Unido. Open University; Reino Unido
Fil: Navarro, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
Fil: Ramallo, Virginia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
Fil: Gallo, Carla. Universidad Peruana Cayetano Heredia; Perú
Fil: Poletti, Giovanni. Universidad Peruana Cayetano Heredia; Perú
Fil: Bedoya Berrío, Gabriel. Universidad de Antioquia; Colombia
Fil: Bortolini, María Cátira. Universidade Federal do Rio Grande do Sul; Brasil
Fil: Acuña Alonzo, Victor. Instituto Nacional de Antropología E Historia; México
Fil: Canizales Quinteros, Samuel. Instituto Nacional de Medicina Genómica; México
Fil: Rothhammer, Francisco. Universidad de Chile; Chile
Fil: Ruiz-Linares, Andres. Colegio Universitario de Londres; Reino Unido. Fudan University; China
Fil: González José, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
Materia
Genomic ancestry
Admixed populations
Obesity
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/99444
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizosRuderman, AnahíPerez, Luis OrlandoAdhikari, KaustubhNavarro, PabloRamallo, VirginiaGallo, CarlaPoletti, GiovanniBedoya Berrío, GabrielBortolini, María CátiraAcuña Alonzo, VictorCanizales Quinteros, SamuelRothhammer, FranciscoRuiz-Linares, AndresGonzález José, RolandoGenomic ancestryAdmixed populationsObesityhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Objectives: 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.Fil: Ruderman, Anahí. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; ArgentinaFil: Perez, Luis Orlando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; ArgentinaFil: Adhikari, Kaustubh. Colegio Universitario de Londres; Reino Unido. Open University; Reino UnidoFil: Navarro, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; ArgentinaFil: Ramallo, Virginia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; ArgentinaFil: Gallo, Carla. Universidad Peruana Cayetano Heredia; PerúFil: Poletti, Giovanni. Universidad Peruana Cayetano Heredia; PerúFil: Bedoya Berrío, Gabriel. Universidad de Antioquia; ColombiaFil: Bortolini, María Cátira. Universidade Federal do Rio Grande do Sul; BrasilFil: Acuña Alonzo, Victor. Instituto Nacional de Antropología E Historia; MéxicoFil: Canizales Quinteros, Samuel. Instituto Nacional de Medicina Genómica; MéxicoFil: Rothhammer, Francisco. Universidad de Chile; ChileFil: Ruiz-Linares, Andres. Colegio Universitario de Londres; Reino Unido. Fudan University; ChinaFil: González José, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; ArgentinaWiley-liss, Div John Wiley & Sons Inc2019-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/99444Ruderman, Anahí; Perez, Luis Orlando; Adhikari, Kaustubh; Navarro, Pablo; Ramallo, Virginia; et al.; Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos; Wiley-liss, Div John Wiley & Sons Inc; American Journal of Human Biology; 31; 5; 9-2019; 1-131042-0533CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/ajhb.23278info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/full/10.1002/ajhb.23278info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:29:32Zoai:ri.conicet.gov.ar:11336/99444instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:29:32.954CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos
title Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos
spellingShingle Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos
Ruderman, Anahí
Genomic ancestry
Admixed populations
Obesity
title_short Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos
title_full Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos
title_fullStr Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos
title_full_unstemmed Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos
title_sort Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos
dc.creator.none.fl_str_mv Ruderman, Anahí
Perez, Luis Orlando
Adhikari, Kaustubh
Navarro, Pablo
Ramallo, Virginia
Gallo, Carla
Poletti, Giovanni
Bedoya Berrío, Gabriel
Bortolini, María Cátira
Acuña Alonzo, Victor
Canizales Quinteros, Samuel
Rothhammer, Francisco
Ruiz-Linares, Andres
González José, Rolando
author Ruderman, Anahí
author_facet Ruderman, Anahí
Perez, Luis Orlando
Adhikari, Kaustubh
Navarro, Pablo
Ramallo, Virginia
Gallo, Carla
Poletti, Giovanni
Bedoya Berrío, Gabriel
Bortolini, María Cátira
Acuña Alonzo, Victor
Canizales Quinteros, Samuel
Rothhammer, Francisco
Ruiz-Linares, Andres
González José, Rolando
author_role author
author2 Perez, Luis Orlando
Adhikari, Kaustubh
Navarro, Pablo
Ramallo, Virginia
Gallo, Carla
Poletti, Giovanni
Bedoya Berrío, Gabriel
Bortolini, María Cátira
Acuña Alonzo, Victor
Canizales Quinteros, Samuel
Rothhammer, Francisco
Ruiz-Linares, Andres
González José, Rolando
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Genomic ancestry
Admixed populations
Obesity
topic Genomic ancestry
Admixed populations
Obesity
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Ruderman, Anahí. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
Fil: Perez, Luis Orlando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
Fil: Adhikari, Kaustubh. Colegio Universitario de Londres; Reino Unido. Open University; Reino Unido
Fil: Navarro, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
Fil: Ramallo, Virginia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
Fil: Gallo, Carla. Universidad Peruana Cayetano Heredia; Perú
Fil: Poletti, Giovanni. Universidad Peruana Cayetano Heredia; Perú
Fil: Bedoya Berrío, Gabriel. Universidad de Antioquia; Colombia
Fil: Bortolini, María Cátira. Universidade Federal do Rio Grande do Sul; Brasil
Fil: Acuña Alonzo, Victor. Instituto Nacional de Antropología E Historia; México
Fil: Canizales Quinteros, Samuel. Instituto Nacional de Medicina Genómica; México
Fil: Rothhammer, Francisco. Universidad de Chile; Chile
Fil: Ruiz-Linares, Andres. Colegio Universitario de Londres; Reino Unido. Fudan University; China
Fil: González José, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/99444
Ruderman, Anahí; Perez, Luis Orlando; Adhikari, Kaustubh; Navarro, Pablo; Ramallo, Virginia; et al.; Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos; Wiley-liss, Div John Wiley & Sons Inc; American Journal of Human Biology; 31; 5; 9-2019; 1-13
1042-0533
CONICET Digital
CONICET
url http://hdl.handle.net/11336/99444
identifier_str_mv Ruderman, Anahí; Perez, Luis Orlando; Adhikari, Kaustubh; Navarro, Pablo; Ramallo, Virginia; et al.; Obesity, genomic ancestry, and socioeconomic variables in Latin American mestizos; Wiley-liss, Div John Wiley & Sons Inc; American Journal of Human Biology; 31; 5; 9-2019; 1-13
1042-0533
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1002/ajhb.23278
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/full/10.1002/ajhb.23278
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley-liss, Div John Wiley & Sons Inc
publisher.none.fl_str_mv Wiley-liss, Div John Wiley & Sons Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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