| Autor: |
Paschetta C; Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina., de Azevedo S; Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina., Ramallo V; Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina., Cintas C; IBM Research Africa, Nairobi, Kenya., Pérez O; Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina., Navarro P; Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina., Bandieri L; Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina., Sánchez MQ; Ciencia Forense, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico., Adhikari K; School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, United Kingdom.; Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, United Kingdom., Bortolini MC; Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil., Ferrara GP; Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru., Gallo C; Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru., Bedoya G; Grupo de Genética Molecular (GENMOL), Universidad de Antioquia, Medellín, Colombia., Rothhammer F; Instituto de Alta Investigación Universidad de Tarapacá, Programa de Genética Humana, ICBM Facultad de Medicina, Universidad de Chile, Santiago, Chile., Alonzo VA; Escuela Nacional de Antropología e Historia, UNAM, Ciudad de Mexico, Mexico., Ruiz-Linares A; Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, United Kingdom.; UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, 13005, Marseille, France.; Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200433, China., González-José R; Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina. rolando@cenpat-conicet.gob.ar.; Centro Nacional Patagónico-CONICET, Bvd. Brown 2915. U9120ACD, Puerto Madryn, Argentina. rolando@cenpat-conicet.gob.ar. |
| Abstrakt: |
Self-perception of ethnicity is a complex social trait shaped by both, biological and non-biological factors. We developed a comprehensive analysis of ethnic self-perception (ESP) on a large sample of Latin American mestizos from five countries, differing in age, socio-economic and education context, external phenotypic attributes and genetic background. We measured the correlation of ESP against genomic ancestry, and the influence of physical appearance, socio-economic context, and education on the distortion observed between both. Here we show that genomic ancestry is correlated to aspects of physical appearance, which in turn affect the individual ethnic self-perceived ancestry. Also, we observe that, besides the significant correlation among genomic ancestry and ESP, specific physical or socio-economic attributes have a strong impact on self-perception. In addition, the distortion among ESP and genomic ancestry differs across age ranks/countries, probably suggesting the underlying effect of past public policies regarding identity. Our results indicate that individuals' own ideas about its origins should be taken with caution, especially in aspects of modern life, including access to work, social policies, and public health key decisions such as drug administration, therapy design, and clinical trials, among others. |
