Genome scans of facial features in East Africans and cross-population comparisons reveal novel associations

dc.contributor.authorLiu, Chenxing
dc.contributor.authorLee, Myoung Keun
dc.contributor.authorNaqvi, Sahin
dc.contributor.authorHoskens, Hanne
dc.contributor.authorLiu, Dongjing
dc.contributor.authorWhite, Julie D.
dc.contributor.authorIndencleef, Karlijne
dc.contributor.authorMatthews, Harold
dc.contributor.authorEller, Ryan J.
dc.contributor.authorLi, Jiarui
dc.contributor.authorMohammed, Jaaved
dc.contributor.authorSwigut, Tomek
dc.contributor.authorRichmond, Stephen
dc.contributor.authorManyama, Mange
dc.contributor.authorHallgrímsson, Benedikt
dc.contributor.authorSpritz, Richard A.
dc.contributor.authorFeingold, Eleanor
dc.contributor.authorMarazita, Mary L.
dc.contributor.authorWysocka, Joanna
dc.contributor.authorWalsh, Susan
dc.contributor.authorShriver, Mark D.
dc.contributor.authorClaes, Peter
dc.contributor.authorWeinberg, Seth M.
dc.contributor.authorShaffer, John R.
dc.contributor.departmentBiology, School of Science
dc.date.accessioned2024-04-02T15:51:40Z
dc.date.available2024-04-02T15:51:40Z
dc.date.issued2021-08-19
dc.description.abstractFacial 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.
dc.eprint.versionFinal published version
dc.identifier.citationLiu C, Lee MK, Naqvi S, et al. Genome scans of facial features in East Africans and cross-population comparisons reveal novel associations. PLoS Genet. 2021;17(8):e1009695. Published 2021 Aug 19. doi:10.1371/journal.pgen.1009695
dc.identifier.urihttps://hdl.handle.net/1805/39699
dc.language.isoen_US
dc.publisherPublic Library of Science
dc.relation.isversionof10.1371/journal.pgen.1009695
dc.relation.journalPLoS Genetics
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourcePMC
dc.subjectFace
dc.subjectGenome-wide association study
dc.subjectQuantitative trait loci
dc.titleGenome scans of facial features in East Africans and cross-population comparisons reveal novel associations
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Liu2021Genome-CCBY.pdf
Size:
1.73 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.99 KB
Format:
Item-specific license agreed upon to submission
Description: