1,720,966 research outputs found
Correction: Global genetic variations predict brain response to faces
Get PDFFace 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
Correction: Mck1 kinase is a new player in the DNA damage checkpoint pathway.
No full text[This corrects the article DOI: 10.1371/journal.pgen.1008372.]
Correction: A novel nematode species from the Siberian permafrost shares adaptive mechanisms for cryptobiotic survival with C. elegans dauer larva.
No full text[This corrects the article DOI: 10.1371/journal.pgen.1010798.]
Correction: The Chromatin Remodelling Enzymes SNF2H and SNF2L Position Nucleosomes adjacent to CTCF and Other Transcription Factors.
No full text[This corrects the article DOI: 10.1371/journal.pgen.1005940.]
Correction: Casein Kinase 1 and Phosphorylation of Cohesin Subunit Rec11 (SA3) Promote Meiotic Recombination through Linear Element Formation.
No full textCorrection: Unified inference of missense variant effects and gene constraints in the human genome.
No full text[This corrects the article DOI: 10.1371/journal.pgen.1008922.]
Correction: 3'UTR Shortening Potentiates MicroRNA-Based Repression of Pro-differentiation Genes in Proliferating Human Cells.
Get PDF[This corrects the article DOI: 10.1371/journal.pgen.1005879.]
Correction: Systems genomics approaches provide new insights into Arabidopsis thaliana root growth regulation under combinatorial mineral nutrient limitation.
No full text[This corrects the article DOI: 10.1371/journal.pgen.1008392.]
Correction: Temperature Stress Mediates Decanalization and Dominance of Gene Expression in Drosophila melanogaster.
No full text[This corrects the article DOI: 10.1371/journal.pgen.1004883.]
Correction: Combating a Global Threat to a Clonal Crop: Banana Black Sigatoka Pathogen Pseudocercospora fijiensis (Synonym Mycosphaerella fijiensis) Genomes Reveal Clues for Disease Control.
No full text[This corrects the article DOI: 10.1371/journal.pgen.1005876.]
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