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Genome scans of facial features in East Africans and cross-population comparisons reveal novel associations
Facial morphology is highly variable, both within and among human populations, and a sizable portion of this variation is attributable to genetics. Previous genome scans have revealed more than 100 genetic loci associated with different aspects of normal-range facial variation. Most of these loci ha...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375984/ https://www.ncbi.nlm.nih.gov/pubmed/34411106 http://dx.doi.org/10.1371/journal.pgen.1009695 |
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author | Liu, Chenxing Lee, Myoung Keun Naqvi, Sahin Hoskens, Hanne Liu, Dongjing White, Julie D. Indencleef, Karlijne Matthews, Harold Eller, Ryan J. Li, Jiarui Mohammed, Jaaved Swigut, Tomek Richmond, Stephen Manyama, Mange Hallgrímsson, Benedikt Spritz, Richard A. Feingold, Eleanor Marazita, Mary L. Wysocka, Joanna Walsh, Susan Shriver, Mark D. Claes, Peter Weinberg, Seth M. Shaffer, John R. |
author_facet | Liu, Chenxing Lee, Myoung Keun Naqvi, Sahin Hoskens, Hanne Liu, Dongjing White, Julie D. Indencleef, Karlijne Matthews, Harold Eller, Ryan J. Li, Jiarui Mohammed, Jaaved Swigut, Tomek Richmond, Stephen Manyama, Mange Hallgrímsson, Benedikt Spritz, Richard A. Feingold, Eleanor Marazita, Mary L. Wysocka, Joanna Walsh, Susan Shriver, Mark D. Claes, Peter Weinberg, Seth M. Shaffer, John R. |
author_sort | Liu, Chenxing |
collection | PubMed |
description | Facial morphology is highly variable, both within and among human populations, and a sizable portion of this variation is attributable to genetics. Previous genome scans have revealed more than 100 genetic loci associated with different aspects of normal-range facial variation. Most of these loci have been detected in Europeans, with few studies focusing on other ancestral groups. Consequently, the degree to which facial traits share a common genetic basis across diverse sets of humans remains largely unknown. We therefore investigated the genetic basis of facial morphology in an East African cohort. We applied an open-ended data-driven phenotyping approach to a sample of 2,595 3D facial images collected on Tanzanian children. This approach segments the face into hierarchically arranged, multivariate features that capture the shape variation after adjusting for age, sex, height, weight, facial size and population stratification. Genome scans of these multivariate shape phenotypes revealed significant (p < 2.5 × 10(−8)) signals at 20 loci, which were enriched for active chromatin elements in human cranial neural crest cells and embryonic craniofacial tissue, consistent with an early developmental origin of the facial variation. Two of these associations were in highly conserved regions showing craniofacial-specific enhancer activity during embryological development (5q31.1 and 12q21.31). Six of the 20 loci surpassed a stricter threshold accounting for multiple phenotypes with study-wide significance (p < 6.25 × 10(−10)). Cross-population comparisons indicated 10 association signals were shared with Europeans (seven sharing the same associated SNP), and facilitated fine-mapping of causal variants at previously reported loci. Taken together, these results may point to both shared and population-specific components to the genetic architecture of facial variation. |
format | Online Article Text |
id | pubmed-8375984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83759842021-08-20 Genome scans of facial features in East Africans and cross-population comparisons reveal novel associations Liu, Chenxing Lee, Myoung Keun Naqvi, Sahin Hoskens, Hanne Liu, Dongjing White, Julie D. Indencleef, Karlijne Matthews, Harold Eller, Ryan J. Li, Jiarui Mohammed, Jaaved Swigut, Tomek Richmond, Stephen Manyama, Mange Hallgrímsson, Benedikt Spritz, Richard A. Feingold, Eleanor Marazita, Mary L. Wysocka, Joanna Walsh, Susan Shriver, Mark D. Claes, Peter Weinberg, Seth M. Shaffer, John R. PLoS Genet Research Article Facial morphology is highly variable, both within and among human populations, and a sizable portion of this variation is attributable to genetics. Previous genome scans have revealed more than 100 genetic loci associated with different aspects of normal-range facial variation. Most of these loci have been detected in Europeans, with few studies focusing on other ancestral groups. Consequently, the degree to which facial traits share a common genetic basis across diverse sets of humans remains largely unknown. We therefore investigated the genetic basis of facial morphology in an East African cohort. We applied an open-ended data-driven phenotyping approach to a sample of 2,595 3D facial images collected on Tanzanian children. This approach segments the face into hierarchically arranged, multivariate features that capture the shape variation after adjusting for age, sex, height, weight, facial size and population stratification. Genome scans of these multivariate shape phenotypes revealed significant (p < 2.5 × 10(−8)) signals at 20 loci, which were enriched for active chromatin elements in human cranial neural crest cells and embryonic craniofacial tissue, consistent with an early developmental origin of the facial variation. Two of these associations were in highly conserved regions showing craniofacial-specific enhancer activity during embryological development (5q31.1 and 12q21.31). Six of the 20 loci surpassed a stricter threshold accounting for multiple phenotypes with study-wide significance (p < 6.25 × 10(−10)). Cross-population comparisons indicated 10 association signals were shared with Europeans (seven sharing the same associated SNP), and facilitated fine-mapping of causal variants at previously reported loci. Taken together, these results may point to both shared and population-specific components to the genetic architecture of facial variation. Public Library of Science 2021-08-19 /pmc/articles/PMC8375984/ /pubmed/34411106 http://dx.doi.org/10.1371/journal.pgen.1009695 Text en © 2021 Liu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Liu, Chenxing Lee, Myoung Keun Naqvi, Sahin Hoskens, Hanne Liu, Dongjing White, Julie D. Indencleef, Karlijne Matthews, Harold Eller, Ryan J. Li, Jiarui Mohammed, Jaaved Swigut, Tomek Richmond, Stephen Manyama, Mange Hallgrímsson, Benedikt Spritz, Richard A. Feingold, Eleanor Marazita, Mary L. Wysocka, Joanna Walsh, Susan Shriver, Mark D. Claes, Peter Weinberg, Seth M. Shaffer, John R. Genome scans of facial features in East Africans and cross-population comparisons reveal novel associations |
title | Genome scans of facial features in East Africans and cross-population comparisons reveal novel associations |
title_full | Genome scans of facial features in East Africans and cross-population comparisons reveal novel associations |
title_fullStr | Genome scans of facial features in East Africans and cross-population comparisons reveal novel associations |
title_full_unstemmed | Genome scans of facial features in East Africans and cross-population comparisons reveal novel associations |
title_short | Genome scans of facial features in East Africans and cross-population comparisons reveal novel associations |
title_sort | genome scans of facial features in east africans and cross-population comparisons reveal novel associations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375984/ https://www.ncbi.nlm.nih.gov/pubmed/34411106 http://dx.doi.org/10.1371/journal.pgen.1009695 |
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