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Análisis de la variabilidad genética de una muestra de la población de Bogotá: hacia la constitución de un mapa de haplotipos
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 t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Instituto Nacional de Salud
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357366/ https://www.ncbi.nlm.nih.gov/pubmed/31584772 http://dx.doi.org/10.7705/biomedica.4753 |
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author | Caicedo, Juan David Cáceres, Alejandro Arboleda-Bustos, Carlos E. Mahecha, María Fernanda Ortega, Jenny Arboleda, Gonzalo Arboleda, Humberto |
author_facet | Caicedo, Juan David Cáceres, Alejandro Arboleda-Bustos, Carlos E. Mahecha, María Fernanda Ortega, Jenny Arboleda, Gonzalo Arboleda, Humberto |
author_sort | Caicedo, Juan David |
collection | PubMed |
description | 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 Bogotá. MATERIALS AND METHODS: A total of 2,372,784 genetic markers were genotyped in 32 individuals born in Bogotá whose parents are 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 Genomes Project. RESULTS: The genetic variability detected in the individuals from Bogotá was similar to those with shared ancestry. However, despite the low levels of genetic differentiation between Bogotá and Medellín, populations the principal component analysis suggested a different genetic composition in them. CONCLUSIONS: Our genomic analysis of a Bogotá sample allowed us to detect similarities and differences with other American populations. The increase of the Bogotá sample and the inclusion of samples from other regions of the country will improve our understanding of the genetic variability in Colombia, essential for studies of human health and the prevention and treatment of common diseases in our country. |
format | Online Article Text |
id | pubmed-7357366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Instituto Nacional de Salud |
record_format | MEDLINE/PubMed |
spelling | pubmed-73573662020-07-20 Análisis de la variabilidad genética de una muestra de la población de Bogotá: hacia la constitución de un mapa de haplotipos Caicedo, Juan David Cáceres, Alejandro Arboleda-Bustos, Carlos E. Mahecha, María Fernanda Ortega, Jenny Arboleda, Gonzalo Arboleda, Humberto Biomedica Comunicación Breve 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 Bogotá. MATERIALS AND METHODS: A total of 2,372,784 genetic markers were genotyped in 32 individuals born in Bogotá whose parents are 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 Genomes Project. RESULTS: The genetic variability detected in the individuals from Bogotá was similar to those with shared ancestry. However, despite the low levels of genetic differentiation between Bogotá and Medellín, populations the principal component analysis suggested a different genetic composition in them. CONCLUSIONS: Our genomic analysis of a Bogotá sample allowed us to detect similarities and differences with other American populations. The increase of the Bogotá sample and the inclusion of samples from other regions of the country will improve our understanding of the genetic variability in Colombia, essential for studies of human health and the prevention and treatment of common diseases in our country. Instituto Nacional de Salud 2019-09-01 /pmc/articles/PMC7357366/ /pubmed/31584772 http://dx.doi.org/10.7705/biomedica.4753 Text en https://creativecommons.org/licenses/by/4.0/ Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons |
spellingShingle | Comunicación Breve Caicedo, Juan David Cáceres, Alejandro Arboleda-Bustos, Carlos E. Mahecha, María Fernanda Ortega, Jenny Arboleda, Gonzalo Arboleda, Humberto Análisis de la variabilidad genética de una muestra de la población de Bogotá: hacia la constitución de un mapa de haplotipos |
title | Análisis de la variabilidad genética de una muestra de la población de Bogotá: hacia la constitución de un mapa de haplotipos |
title_full | Análisis de la variabilidad genética de una muestra de la población de Bogotá: hacia la constitución de un mapa de haplotipos |
title_fullStr | Análisis de la variabilidad genética de una muestra de la población de Bogotá: hacia la constitución de un mapa de haplotipos |
title_full_unstemmed | Análisis de la variabilidad genética de una muestra de la población de Bogotá: hacia la constitución de un mapa de haplotipos |
title_short | Análisis de la variabilidad genética de una muestra de la población de Bogotá: hacia la constitución de un mapa de haplotipos |
title_sort | análisis de la variabilidad genética de una muestra de la población de bogotá: hacia la constitución de un mapa de haplotipos |
topic | Comunicación Breve |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357366/ https://www.ncbi.nlm.nih.gov/pubmed/31584772 http://dx.doi.org/10.7705/biomedica.4753 |
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