Evaluation of the minimum number of markers for individual ancestry estimation in an Argentinean population sample
Estimation of individual ancestry has great relevance when studying population composition in regions like South America, where intensive admixture processes have occurred, being also important in biomedical sciences. For that reason, it is important to assess the factors that may affect the reliabi...
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Facultad de Filosofía y Humanidades. Museo de Antropología
2016
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| Acceso en línea: | https://revistas.unc.edu.ar/index.php/antropologia/article/view/12579 |
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I10-R10-article-125792022-08-24T16:08:39Z Evaluation of the minimum number of markers for individual ancestry estimation in an Argentinean population sample Evaluación del número mínimo de marcadores para estimar ancestría individual en una muestra de la población argentina Russo, María Gabriela Di Fabio Rocca, Francisco Doldán, Patricio Cardozo, Darío Gonzalo Dejean, Cristina Beatriz Seldes, Verónica Avena, Sergio number of AIMs individual ancestry Argentinean population número de AIMs ancestría individual población argentina Estimation of individual ancestry has great relevance when studying population composition in regions like South America, where intensive admixture processes have occurred, being also important in biomedical sciences. For that reason, it is important to assess the factors that may affect the reliability of results. In this work, we investigate the minimum number of ancestry informative markers (AIMs) for obtaining acceptable estimations of ancestry. As an example, we take individuals from a population sample of different Argentinean regions. Considering a three component model (Native American, Eurasian and Sub-Saharan), we calculated ancestry of 441 individuals using 10, 20, 30 and 50 AIMs. The results indicate that the number of markers affects ancestry estimation and its accuracy increases with AIMs number. When compared to previous estimations obtained from 99 AIMs, the result shows that at least 30 markers are needed to achieve good correlation values for the minority component (Sub-Saharan in this case). For individual ancestry studies, we suggest to take into account not only the number of markers, but also its informativeness and the background of the studied population. La estimación de ancestría individual posee gran relevancia en el estudio de la composición poblacional en regiones como Sudamérica, que han atravesado intensos procesos de mestizaje, lo que también tiene implicancia en ciencias de la salud. Debido a esto, es importante conocer los factores que influyen en la confiabilidad de los resultados obtenidos. En este trabajo se evalúa el número mínimo de marcadores informativos de ancestría (AIMs) a partir del cual las estimaciones resultarían aceptables. Se toma como ejemplo el cálculo en individuos provenientes de una muestra poblacional de diferentes regiones de Argentina. Considerando un modelo de tres componentes (nativo americano, euroasiático y subsahariano), se calculó la ancestría de 441 individuos utilizando 10, 20, 30 y 50 AIMs. Los resultados indican que el número de marcadores influye sobre la estimación de ancestría y su precisión aumenta al incrementarse la cantidad de AIMs. Al comparar con las estimaciones obtenidas en un trabajo previo a partir de 99 AIMs, se observó que para el componente minoritario (en este caso subsahariano) se obtiene una buena correlación utilizando al menos 30 marcadores. Se concluye que es necesario considerar en los estudios de ancestría individual el número de marcadores, su capacidad informativa y las características de la población bajo estudio. Facultad de Filosofía y Humanidades. Museo de Antropología 2016-06-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer reviewed article Artículo revisado por pares investigación básica Artigo revisado por pares application/pdf https://revistas.unc.edu.ar/index.php/antropologia/article/view/12579 Revista del Museo de Antropología; Vol 9 (2016) NÚMERO 1; 49-56 Revista del Museo de Antropología; Vol 9 (2016) NÚMERO 1; 49-56 Revista del Museo de Antropología; Vol 9 (2016) NÚMERO 1; 49-56 1852-4826 1852-060X 10.31048/1852.4826.v9.n1 spa https://revistas.unc.edu.ar/index.php/antropologia/article/view/12579/14675 Derechos de autor 2016 María Gabriela Russo, Francisco Di Fabio Rocca, Patricio Doldán, Darío Gonzalo Cardozo, Cristina Dejean, Verónica Seldes, Sergio Avena |
| institution |
Universidad Nacional de Córdoba |
| institution_str |
I-10 |
| repository_str |
R-10 |
| container_title_str |
Revistas de la UNC |
| language |
Español |
| format |
Artículo revista |
| topic |
number of AIMs individual ancestry Argentinean population número de AIMs ancestría individual población argentina |
| spellingShingle |
number of AIMs individual ancestry Argentinean population número de AIMs ancestría individual población argentina Russo, María Gabriela Di Fabio Rocca, Francisco Doldán, Patricio Cardozo, Darío Gonzalo Dejean, Cristina Beatriz Seldes, Verónica Avena, Sergio Evaluation of the minimum number of markers for individual ancestry estimation in an Argentinean population sample |
| topic_facet |
number of AIMs individual ancestry Argentinean population número de AIMs ancestría individual población argentina |
| author |
Russo, María Gabriela Di Fabio Rocca, Francisco Doldán, Patricio Cardozo, Darío Gonzalo Dejean, Cristina Beatriz Seldes, Verónica Avena, Sergio |
| author_facet |
Russo, María Gabriela Di Fabio Rocca, Francisco Doldán, Patricio Cardozo, Darío Gonzalo Dejean, Cristina Beatriz Seldes, Verónica Avena, Sergio |
| author_sort |
Russo, María Gabriela |
| title |
Evaluation of the minimum number of markers for individual ancestry estimation in an Argentinean population sample |
| title_short |
Evaluation of the minimum number of markers for individual ancestry estimation in an Argentinean population sample |
| title_full |
Evaluation of the minimum number of markers for individual ancestry estimation in an Argentinean population sample |
| title_fullStr |
Evaluation of the minimum number of markers for individual ancestry estimation in an Argentinean population sample |
| title_full_unstemmed |
Evaluation of the minimum number of markers for individual ancestry estimation in an Argentinean population sample |
| title_sort |
evaluation of the minimum number of markers for individual ancestry estimation in an argentinean population sample |
| description |
Estimation of individual ancestry has great relevance when studying population composition in regions like South America, where intensive admixture processes have occurred, being also important in biomedical sciences. For that reason, it is important to assess the factors that may affect the reliability of results. In this work, we investigate the minimum number of ancestry informative markers (AIMs) for obtaining acceptable estimations of ancestry. As an example, we take individuals from a population sample of different Argentinean regions. Considering a three component model (Native American, Eurasian and Sub-Saharan), we calculated ancestry of 441 individuals using 10, 20, 30 and 50 AIMs. The results indicate that the number of markers affects ancestry estimation and its accuracy increases with AIMs number. When compared to previous estimations obtained from 99 AIMs, the result shows that at least 30 markers are needed to achieve good correlation values for the minority component (Sub-Saharan in this case). For individual ancestry studies, we suggest to take into account not only the number of markers, but also its informativeness and the background of the studied population. |
| publisher |
Facultad de Filosofía y Humanidades. Museo de Antropología |
| publishDate |
2016 |
| url |
https://revistas.unc.edu.ar/index.php/antropologia/article/view/12579 |
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