Journal
FORENSIC SCIENCE INTERNATIONAL-GENETICS
Volume 19, Issue -, Pages 263-268Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.fsigen.2015.08.004
Keywords
Facial trait prediction; Visible trait prediction; Normal trait variation; Evolutionary genetics; Genetic association
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Funding
- EU [GA 286213]
- Danish Council for Independent Research Medical Sciences
- Alfred Benzon Foundation
- Lundbeck Foundation [R190-2014-3904] Funding Source: researchfish
- NNF Center for Basic Metabolic Research [Pers Group] Funding Source: researchfish
- Novo Nordisk Fonden [NNF10CC1016517] Funding Source: researchfish
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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). (C) 2015 Elsevier Ireland Ltd. All rights reserved.
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