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A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans

Overview of attention for article published in PLoS Genetics, September 2012
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  • 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 (98th percentile)

Mentioned by

news
11 news outlets
blogs
4 blogs
twitter
57 X users
patent
1 patent
facebook
12 Facebook pages
wikipedia
1 Wikipedia page
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5 Google+ users

Citations

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265 Dimensions

Readers on

mendeley
495 Mendeley
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15 CiteULike
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Title
A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans
Published in
PLoS Genetics, September 2012
DOI 10.1371/journal.pgen.1002932
Pubmed ID
Authors

Fan Liu, Fedde van der Lijn, Claudia Schurmann, Gu Zhu, M. Mallar Chakravarty, Pirro G. Hysi, Andreas Wollstein, Oscar Lao, Marleen de Bruijne, M. Arfan Ikram, Aad van der Lugt, Fernando Rivadeneira, André G. Uitterlinden, Albert Hofman, Wiro J. Niessen, Georg Homuth, Greig de Zubicaray, Katie L. McMahon, Paul M. Thompson, Amro Daboul, Ralf Puls, Katrin Hegenscheid, Liisa Bevan, Zdenka Pausova, Sarah E. Medland, Grant W. Montgomery, Margaret J. Wright, Carol Wicking, Stefan Boehringer, Timothy D. Spector, Tomáš Paus, Nicholas G. Martin, Reiner Biffar, Manfred Kayser

Abstract

Inter-individual variation in facial shape is one of the most noticeable phenotypes in humans, and it is clearly under genetic regulation; however, almost nothing is known about the genetic basis of normal human facial morphology. We therefore conducted a genome-wide association study for facial shape phenotypes in multiple discovery and replication cohorts, considering almost ten thousand individuals of European descent from several countries. Phenotyping of facial shape features was based on landmark data obtained from three-dimensional head magnetic resonance images (MRIs) and two-dimensional portrait images. We identified five independent genetic loci associated with different facial phenotypes, suggesting the involvement of five candidate genes--PRDM16, PAX3, TP63, C5orf50, and COL17A1--in the determination of the human face. Three of them have been implicated previously in vertebrate craniofacial development and disease, and the remaining two genes potentially represent novel players in the molecular networks governing facial development. Our finding at PAX3 influencing the position of the nasion replicates a recent GWAS of facial features. In addition to the reported GWA findings, we established links between common DNA variants previously associated with NSCL/P at 2p21, 8q24, 13q31, and 17q22 and normal facial-shape variations based on a candidate gene approach. Overall our study implies that DNA variants in genes essential for craniofacial development contribute with relatively small effect size to the spectrum of normal variation in human facial morphology. This observation has important consequences for future studies aiming to identify more genes involved in the human facial morphology, as well as for potential applications of DNA prediction of facial shape such as in future forensic applications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 495 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
United Kingdom 4 <1%
Switzerland 3 <1%
Canada 2 <1%
India 2 <1%
Australia 2 <1%
Belgium 2 <1%
Czechia 1 <1%
Sweden 1 <1%
Other 8 2%
Unknown 461 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 104 21%
Student > Ph. D. Student 88 18%
Student > Bachelor 50 10%
Student > Master 49 10%
Professor > Associate Professor 29 6%
Other 104 21%
Unknown 71 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 158 32%
Biochemistry, Genetics and Molecular Biology 78 16%
Medicine and Dentistry 64 13%
Computer Science 18 4%
Psychology 16 3%
Other 73 15%
Unknown 88 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 177. 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 23 May 2023.
All research outputs
#232,406
of 25,806,080 outputs
Outputs from PLoS Genetics
#120
of 9,003 outputs
Outputs of similar age
#1,095
of 188,026 outputs
Outputs of similar age from PLoS Genetics
#3
of 160 outputs
Altmetric has tracked 25,806,080 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 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has done particularly well, scoring higher than 98% 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 188,026 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 160 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 98% of its contemporaries.