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Papers by Alejandro Cáceres
Biomedica, 2019
Introduction: The HapMap and the 1000 Genomes projects have been important for understanding the ... more Introduction: The HapMap and the 1000 Genomes projects have been important for understanding the genetic component of common diseases and normal phenotypes. However, the Colombian genetic variability included in these projects is not fully representative of our country. Objective: To contribute to the knowledge of the Colombian genetic variability through the genomic study of a sample of individuals from Bogota. Materials and methods: A total of 2,372,784 genetic markers were genotyped in 32 individuals born in Bogota and with parents from the same region using the Illumina platform. The genetic variability levels were determined and compared with the data available from other populations of the 1000 Genome project. Results: The genetic variability detected in the individuals from Bogota was similar to those with shared ancestry. However, despite the low levels of genetic differentiation between Bogota (CLB) and Medellin (CLM) populations the PCA analysis suggest a different genetic...
Biomédica, 2019
Introducción. Los proyectos del mapa de haplotipos (HapMap) y de los 1.000 genomas han sido funda... more Introducción. Los proyectos del mapa de haplotipos (HapMap) y de los 1.000 genomas han sido fundamentales para la compresión del componente genético de las enfermedades comunes y los fenotipos normales. Sin embargo, la variabilidad genética colombiana incluida en estos proyectos no es representativa del país.Objetivo. Contribuir al conocimiento de la variabilidad genética de la población colombiana a partir del estudio genómico de una muestra de individuos de Bogotá.Materiales y métodos. Se genotipificaron 2’372.784 marcadores genéticos de 32 individuos nacidos en Bogotá y de padres originarios de la misma ciudad utilizando la plataforma Illumina™. Los niveles de variabilidad genética se determinaron y se compararon con los datos disponibles de otras poblaciones del proyecto de los 1.000 genomas. Resultados. Los individuos analizados presentaron una variabilidad genética semejante a la de poblaciones con las que comparten ancestros. No obstante, a pesar de la poca diferenciación gen...
Journal of Food Composition and Analysis, 2013
El artículo seleccionado no se encuentra disponible por ahora a texto completo por no haber sido ... more El artículo seleccionado no se encuentra disponible por ahora a texto completo por no haber sido facilitado todavía por el investigador a cargo del archivo del mismo.
Journal of Agricultural and Food Chemistry, 2012
The phenolic composition of wine depends on, among other factors, the grapes used to make it. In ... more The phenolic composition of wine depends on, among other factors, the grapes used to make it. In this sense, knowledge of the chemical composition of grapes and its association with the resulting wines is an important tool to determine if there is a relationship between the phenolic composition of grapes and the price that these wines obtain in the market. For this purpose, grape skins and seeds from the cultivar Cabernet Sauvignon from the central region of Chile, in 2009 and 2010 vintages from two ripening points, were subjected to chemical and phenolic analyses, as were the wines made from these grapes. Grapes
Biomedica, 2019
Introduction: The HapMap and the 1000 Genomes projects have been important for understanding the ... more Introduction: The HapMap and the 1000 Genomes projects have been important for understanding the genetic component of common diseases and normal phenotypes. However, the Colombian genetic variability included in these projects is not fully representative of our country. Objective: To contribute to the knowledge of the Colombian genetic variability through the genomic study of a sample of individuals from Bogota. Materials and methods: A total of 2,372,784 genetic markers were genotyped in 32 individuals born in Bogota and with parents from the same region using the Illumina platform. The genetic variability levels were determined and compared with the data available from other populations of the 1000 Genome project. Results: The genetic variability detected in the individuals from Bogota was similar to those with shared ancestry. However, despite the low levels of genetic differentiation between Bogota (CLB) and Medellin (CLM) populations the PCA analysis suggest a different genetic...
Biomédica, 2019
Introducción. Los proyectos del mapa de haplotipos (HapMap) y de los 1.000 genomas han sido funda... more Introducción. Los proyectos del mapa de haplotipos (HapMap) y de los 1.000 genomas han sido fundamentales para la compresión del componente genético de las enfermedades comunes y los fenotipos normales. Sin embargo, la variabilidad genética colombiana incluida en estos proyectos no es representativa del país.Objetivo. Contribuir al conocimiento de la variabilidad genética de la población colombiana a partir del estudio genómico de una muestra de individuos de Bogotá.Materiales y métodos. Se genotipificaron 2’372.784 marcadores genéticos de 32 individuos nacidos en Bogotá y de padres originarios de la misma ciudad utilizando la plataforma Illumina™. Los niveles de variabilidad genética se determinaron y se compararon con los datos disponibles de otras poblaciones del proyecto de los 1.000 genomas. Resultados. Los individuos analizados presentaron una variabilidad genética semejante a la de poblaciones con las que comparten ancestros. No obstante, a pesar de la poca diferenciación gen...
Journal of Food Composition and Analysis, 2013
El artículo seleccionado no se encuentra disponible por ahora a texto completo por no haber sido ... more El artículo seleccionado no se encuentra disponible por ahora a texto completo por no haber sido facilitado todavía por el investigador a cargo del archivo del mismo.
Journal of Agricultural and Food Chemistry, 2012
The phenolic composition of wine depends on, among other factors, the grapes used to make it. In ... more The phenolic composition of wine depends on, among other factors, the grapes used to make it. In this sense, knowledge of the chemical composition of grapes and its association with the resulting wines is an important tool to determine if there is a relationship between the phenolic composition of grapes and the price that these wines obtain in the market. For this purpose, grape skins and seeds from the cultivar Cabernet Sauvignon from the central region of Chile, in 2009 and 2010 vintages from two ripening points, were subjected to chemical and phenolic analyses, as were the wines made from these grapes. Grapes