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Heritability maps of human face morphology through large-scale automated three-dimensional phenotyping
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Tsagkrasoulis, Dimosthenis, Hysi, Pirro, Spector, Tim and Montana, Giovanni (2017) Heritability maps of human face morphology through large-scale automated three-dimensional phenotyping. Scientific Reports, 7 (1). 45885 . doi:10.1038/srep45885 ISSN 2045-2322.
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Official URL: http://dx.doi.org/10.1038/srep45885
Abstract
The human face is a complex trait under strong genetic control, as evidenced by the striking visual similarity between twins. Nevertheless, heritability estimates of facial traits have often been surprisingly low or difficult to replicate. Furthermore, the construction of facial phenotypes that correspond to naturally perceived facial features remains largely a mystery. We present here a large-scale heritability study of face geometry that aims to address these issues. High-resolution, three-dimensional facial models have been acquired on a cohort of 952 twins recruited from the TwinsUK registry, and processed through a novel landmarking workflow, GESSA (Geodesic Ensemble Surface Sampling Algorithm). The algorithm places thousands of landmarks throughout the facial surface and automatically establishes point-wise correspondence across faces. These landmarks enabled us to intuitively characterize facial geometry at a fine level of detail through curvature measurements, yielding accurate heritability maps of the human face (www.heritabilitymaps.info).
Item Type: | Journal Article | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
Journal or Publication Title: | Scientific Reports | ||||||
Publisher: | Nature Publishing Group | ||||||
ISSN: | 2045-2322 | ||||||
Official Date: | 19 April 2017 | ||||||
Dates: |
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Volume: | 7 | ||||||
Number: | 1 | ||||||
Article Number: | 45885 | ||||||
DOI: | 10.1038/srep45885 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) |
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