↓ Skip to main content

Genome-Wide Association Study Reveals Multiple Loci Influencing Normal Human Facial Morphology

Overview of attention for article published in PLoS Genetics, August 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
19 news outlets
blogs
6 blogs
twitter
114 X users
facebook
7 Facebook pages
googleplus
1 Google+ user
reddit
5 Redditors

Readers on

mendeley
240 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Genome-Wide Association Study Reveals Multiple Loci Influencing Normal Human Facial Morphology
Published in
PLoS Genetics, August 2016
DOI 10.1371/journal.pgen.1006149
Pubmed ID
Authors
Abstract

Numerous lines of evidence point to a genetic basis for facial morphology in humans, yet little is known about how specific genetic variants relate to the phenotypic expression of many common facial features. We conducted genome-wide association meta-analyses of 20 quantitative facial measurements derived from the 3D surface images of 3118 healthy individuals of European ancestry belonging to two US cohorts. Analyses were performed on just under one million genotyped SNPs (Illumina OmniExpress+Exome v1.2 array) imputed to the 1000 Genomes reference panel (Phase 3). We observed genome-wide significant associations (p < 5 x 10-8) for cranial base width at 14q21.1 and 20q12, intercanthal width at 1p13.3 and Xq13.2, nasal width at 20p11.22, nasal ala length at 14q11.2, and upper facial depth at 11q22.1. Several genes in the associated regions are known to play roles in craniofacial development or in syndromes affecting the face: MAFB, PAX9, MIPOL1, ALX3, HDAC8, and PAX1. We also tested genotype-phenotype associations reported in two previous genome-wide studies and found evidence of replication for nasal ala length and SNPs in CACNA2D3 and PRDM16. These results provide further evidence that common variants in regions harboring genes of known craniofacial function contribute to normal variation in human facial features. Improved understanding of the genes associated with facial morphology in healthy individuals can provide insights into the pathways and mechanisms controlling normal and abnormal facial morphogenesis.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 114 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 <1%
Luxembourg 1 <1%
Japan 1 <1%
India 1 <1%
Canada 1 <1%
Unknown 234 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 37 15%
Researcher 35 15%
Student > Master 32 13%
Student > Bachelor 22 9%
Student > Postgraduate 10 4%
Other 34 14%
Unknown 70 29%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 53 22%
Agricultural and Biological Sciences 50 21%
Medicine and Dentistry 35 15%
Computer Science 7 3%
Social Sciences 4 2%
Other 15 6%
Unknown 76 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 248. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2018.
All research outputs
#189,132
of 34,362,729 outputs
Outputs from PLoS Genetics
#81
of 9,870 outputs
Outputs of similar age
#3,005
of 341,002 outputs
Outputs of similar age from PLoS Genetics
#5
of 203 outputs
Altmetric has tracked 34,362,729 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 341,002 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.