Predicting facial characteristics from complex polygenic variations.
Forensic Sci Int Genet
; 19: 263-268, 2015 Nov.
Article
em En
| MEDLINE
| ID: mdl-26355663
ABSTRACT
Research into the importance of the human genome in the context of facial appearance is receiving increasing attention and has led to the detection of several Single Nucleotide Polymorphisms (SNPs) of importance. In this work we attempt a holistic approach predicting facial characteristics from genetic principal components across a population of 1266 individuals. For this we perform a genome-wide association analysis to select a large number of SNPs linked to specific facial traits, recode these to genetic principal components and then use these principal components as predictors for facial traits in a linear regression. We show in this proof-of-concept study for facial trait prediction from genome-wide SNP data that some facial characteristics can be modeled by genetic information facial width, eyebrow width, distance between eyes, and features involving mouth shape are predicted with statistical significance (p<0.03).
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Fácies
/
Herança Multifatorial
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
País/Região como assunto:
Europa
Idioma:
En
Revista:
Forensic Sci Int Genet
Assunto da revista:
GENETICA
/
JURISPRUDENCIA
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Dinamarca