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The genetics of the human face: Identification of large-effect single gene variants

Crouch, D, Winney, B, Koppen, Willem, Christmas, William, Hutnik, K, Day, T, Meena, D, Boumertit, A, Hysi, P, Nessa, A , Spector, T, Kittler, Josef and Bodmer, W (2018) The genetics of the human face: Identification of large-effect single gene variants Proceedings of the National Academy of Sciences, 115 (4). E676-E685.

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To discover specific variants with relatively large effects on the human face, we have devised an approach to identifying facial features with high heritability. This is based on using twin data to estimate the additive genetic value of each point on a face, as provided by a 3D camera system. In addition, we have used the ethnic difference between East Asian and European faces as a further source of face genetic variation. We use principal components (PCs) analysis to provide a fine definition of the surface features of human faces around the eyes and of the profile, and chose upper and lower 10% extremes of the most heritable PCs for looking for genetic associations. Using this strategy for the analysis of 3D images of 1,832 unique volunteers from the wellcharacterized People of the British Isles study and 1,567 unique twin images from the TwinsUK cohort, together with genetic data for 500,000 SNPs, we have identified three specific genetic variants with notable effects on facial profiles and eyes.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Crouch, D
Winney, B
Hutnik, K
Day, T
Meena, D
Boumertit, A
Hysi, P
Nessa, A
Spector, T
Bodmer, W
Date : 4 January 2018
Funders : EPSRC
DOI : 10.1073/pnas.1708207114
Copyright Disclaimer : Copyright 2017 The Author(s). Published under the PNAS license.
Uncontrolled Keywords : human genetics; facial features; SNPs; 3D imaging; additive genetic value
Depositing User : Melanie Hughes
Date Deposited : 29 Jan 2018 14:25
Last Modified : 13 Dec 2018 12:13

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