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Genetic Ancestry Inference and Its Application for the Genetic Mapping of Human Diseases.
Suarez-Pajes, Eva; Díaz-de Usera, Ana; Marcelino-Rodríguez, Itahisa; Guillen-Guio, Beatriz; Flores, Carlos.
Afiliación
  • Suarez-Pajes E; Research Unit, Hospital Universitario Nuestra Señora de Candelaria, 38010 Santa Cruz de Tenerife, Spain.
  • Díaz-de Usera A; Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain.
  • Marcelino-Rodríguez I; Research Unit, Hospital Universitario Nuestra Señora de Candelaria, 38010 Santa Cruz de Tenerife, Spain.
  • Guillen-Guio B; Research Unit, Hospital Universitario Nuestra Señora de Candelaria, 38010 Santa Cruz de Tenerife, Spain.
  • Flores C; Research Unit, Hospital Universitario Nuestra Señora de Candelaria, 38010 Santa Cruz de Tenerife, Spain.
Int J Mol Sci ; 22(13)2021 Jun 28.
Article en En | MEDLINE | ID: mdl-34203440
ABSTRACT
Admixed populations arise when two or more ancestral populations interbreed. As a result of this admixture, the genome of admixed populations is defined by tracts of variable size inherited from these parental groups and has particular genetic features that provide valuable information about their demographic history. Diverse methods can be used to derive the ancestry apportionment of admixed individuals, and such inferences can be leveraged for the discovery of genetic loci associated with diseases and traits, therefore having important biomedical implications. In this review article, we summarize the most common methods of global and local genetic ancestry estimation and discuss the use of admixture mapping studies in human diseases.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2021 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2021 Tipo del documento: Article País de afiliación: España