Exploring iris colour prediction and ancestry inference in admixed populations of South America.
Forensic Sci Int Genet
; 13: 3-9, 2014 Nov.
Article
en En
| MEDLINE
| ID: mdl-25051225
New DNA-based predictive tests for physical characteristics and inference of ancestry are highly informative tools that are being increasingly used in forensic genetic analysis. Two eye colour prediction models: a Bayesian classifier - Snipper and a multinomial logistic regression (MLR) system for the Irisplex assay, have been described for the analysis of unadmixed European populations. Since multiple SNPs in combination contribute in varying degrees to eye colour predictability in Europeans, it is likely that these predictive tests will perform in different ways amongst admixed populations that have European co-ancestry, compared to unadmixed Europeans. In this study we examined 99 individuals from two admixed South American populations comparing eye colour versus ancestry in order to reveal a direct correlation of light eye colour phenotypes with European co-ancestry in admixed individuals. Additionally, eye colour prediction following six prediction models, using varying numbers of SNPs and based on Snipper and MLR, were applied to the study populations. Furthermore, patterns of eye colour prediction have been inferred for a set of publicly available admixed and globally distributed populations from the HGDP-CEPH panel and 1000 Genomes databases with a special emphasis on admixed American populations similar to those of the study samples.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Color del Ojo
/
Etnicidad
/
Polimorfismo de Nucleótido Simple
/
Grupos Raciales
/
Genética de Población
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
País/Región como asunto:
America do sul
/
Brasil
/
Venezuela
Idioma:
En
Revista:
Forensic Sci Int Genet
Asunto de la revista:
GENETICA
/
JURISPRUDENCIA
Año:
2014
Tipo del documento:
Article
País de afiliación:
España
Pais de publicación:
Países Bajos