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Associations Between Genetic Data and Quantitative Assessment of Normal Facial Asymmetry
Human facial asymmetry is due to a complex interaction of genetic and environmental factors. To identify genetic influences on facial asymmetry, we developed a method for automated scoring that summarizes local morphology features and their spatial distribution. A genome-wide association study using...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315129/ https://www.ncbi.nlm.nih.gov/pubmed/30631343 http://dx.doi.org/10.3389/fgene.2018.00659 |
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author | Rolfe, Sara Lee, Su-In Shapiro, Linda |
author_facet | Rolfe, Sara Lee, Su-In Shapiro, Linda |
author_sort | Rolfe, Sara |
collection | PubMed |
description | Human facial asymmetry is due to a complex interaction of genetic and environmental factors. To identify genetic influences on facial asymmetry, we developed a method for automated scoring that summarizes local morphology features and their spatial distribution. A genome-wide association study using asymmetry scores from two local symmetry features was conducted and significant genetic associations were identified for one asymmetry feature, including genes thought to play a role in craniofacial disorders and development: NFATC1, SOX5, NBAS, and TCF7L1. These results provide evidence that normal variation in facial asymmetry may be impacted by common genetic variants and further motivate the development of automated summaries of complex phenotypes. |
format | Online Article Text |
id | pubmed-6315129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63151292019-01-10 Associations Between Genetic Data and Quantitative Assessment of Normal Facial Asymmetry Rolfe, Sara Lee, Su-In Shapiro, Linda Front Genet Genetics Human facial asymmetry is due to a complex interaction of genetic and environmental factors. To identify genetic influences on facial asymmetry, we developed a method for automated scoring that summarizes local morphology features and their spatial distribution. A genome-wide association study using asymmetry scores from two local symmetry features was conducted and significant genetic associations were identified for one asymmetry feature, including genes thought to play a role in craniofacial disorders and development: NFATC1, SOX5, NBAS, and TCF7L1. These results provide evidence that normal variation in facial asymmetry may be impacted by common genetic variants and further motivate the development of automated summaries of complex phenotypes. Frontiers Media S.A. 2018-12-18 /pmc/articles/PMC6315129/ /pubmed/30631343 http://dx.doi.org/10.3389/fgene.2018.00659 Text en Copyright © 2018 Rolfe, Lee and Shapiro. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Rolfe, Sara Lee, Su-In Shapiro, Linda Associations Between Genetic Data and Quantitative Assessment of Normal Facial Asymmetry |
title | Associations Between Genetic Data and Quantitative Assessment of Normal Facial Asymmetry |
title_full | Associations Between Genetic Data and Quantitative Assessment of Normal Facial Asymmetry |
title_fullStr | Associations Between Genetic Data and Quantitative Assessment of Normal Facial Asymmetry |
title_full_unstemmed | Associations Between Genetic Data and Quantitative Assessment of Normal Facial Asymmetry |
title_short | Associations Between Genetic Data and Quantitative Assessment of Normal Facial Asymmetry |
title_sort | associations between genetic data and quantitative assessment of normal facial asymmetry |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315129/ https://www.ncbi.nlm.nih.gov/pubmed/30631343 http://dx.doi.org/10.3389/fgene.2018.00659 |
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