The IMAGEN consortium (Including:

). (2014) Correction: Global genetic variations predict brain response to faces. PLoS Genetics, Volume 10 (Number 10). Article number e1004802. doi:10.1371/journal.pgen.1004802 ISSN 1553-7390.

Preview	PDF WRAP_journal.pgen.1004802.pdf - Supplemental Material - Requires a PDF viewer. Download (281Kb) | Preview
Preview	PDF WRAP_journal.pgen.1004802.s002 %281%29_2.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution. Download (951Kb) | Preview

Request Changes to record.

Abstract

Face expressions are a rich source of social signals. Here we estimated the proportion of phenotypic variance in the brain response to facial expressions explained by common genetic variance captured by ~500,000 single nucleotide polymorphisms. Using genomic-relationship-matrix restricted maximum likelihood (GREML), we related this global genetic variance to that in the brain response to facial expressions, as assessed with functional magnetic resonance imaging (fMRI) in a community-based sample of adolescents (n = 1,620). Brain response to facial expressions was measured in 25 regions constituting a face network, as defined previously. In 9 out of these 25 regions, common genetic variance explained a significant proportion of phenotypic variance (40–50%) in their response to ambiguous facial expressions; this was not the case for angry facial expressions. Across the network, the strength of the genotype-phenotype relationship varied as a function of the inter-individual variability in the number of functional connections possessed by a given region (R2 = 0.38, p<0.001). Furthermore, this variability showed an inverted U relationship with both the number of observed connections (R2 = 0.48, p<0.001) and the magnitude of brain response (R2 = 0.32, p<0.001). Thus, a significant proportion of the brain response to facial expressions is predicted by common genetic variance in a subset of regions constituting the face network. These regions show the highest inter-individual variability in the number of connections with other network nodes, suggesting that the genetic model captures variations across the adolescent brains in co-opting these regions into the face network.

Item Type:	Journal Article
Subjects:	B Philosophy. Psychology. Religion > BF Psychology Q Science > QP Physiology
Divisions:	Faculty of Science, Engineering and Medicine > Science > Statistics
Library of Congress Subject Headings (LCSH):	Facial expression -- Physiological aspects, Visual evoked response
Journal or Publication Title:	PLoS Genetics
Publisher:	Public Library of Science
ISSN:	1553-7390
Official Date:	14 August 2014
Dates:	Date Event 14 August 2014 Published 30 May 2014 Accepted 6 December 2014 Submitted
Volume:	Volume 10
Number:	Number 10
Article Number:	Article number e1004802
DOI:	10.1371/journal.pgen.1004802
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Description:	This article was republished on September 12th 2014, to correct errors in the order of the author list that were introduced during the typesetting process. Please download this article again to view the correct version. The originally published, uncorrected article and the republished, corrected article are provided here for reference.
Date of first compliant deposit:	28 December 2015
Date of first compliant Open Access:	28 December 2015
Funder:	Sixth Framework Programme (European Commission) (FP6), National Institute for Health Research (Great Britain) (NIHR), Medical Research Council (Great Britain) (MRC)
Grant number:	LSHM-CT-2007-037286 (FP6), 93558 (MRC)

Request changes or add full text files to a record

Available Versions of this Item

• Global genetic variations predict brain response to faces. (deposited 25 Nov 2014 17:12)
  • Correction: Global genetic variations predict brain response to faces. (deposited 22 Jan 2015 15:13) [Currently Displayed]

Repository staff actions (login required)

View Item

Downloads