Identification of SNP barcode biomarkers for genes associated with facial emotion perception using particle swarm optimization algorithmReport as inadecuate




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Annals of General Psychiatry

, 13:15

First Online: 21 May 2014Received: 01 February 2014Accepted: 23 April 2014

Abstract

BackgroundFacial emotion perception FEP can affect social function. We previously reported that parts of five tested single-nucleotide polymorphisms SNPs in the MET and AKT1 genes may individually affect FEP performance. However, the effects of SNP-SNP interactions on FEP performance remain unclear.

MethodsThis study compared patients with high and low FEP performances n = 89 and 93, respectively. A particle swarm optimization PSO algorithm was used to identify the best SNP barcodes i.e., the SNP combinations and genotypes that revealed the largest differences between the high and low FEP groups.

ResultsThe analyses of individual SNPs showed no significant differences between the high and low FEP groups. However, comparisons of multiple SNP-SNP interactions involving different combinations of two to five SNPs showed that the best PSO-generated SNP barcodes were significantly associated with high FEP score. The analyses of the joint effects of the best SNP barcodes for two to five interacting SNPs also showed that the best SNP barcodes had significantly higher odds ratios 2.119 to 3.138; P < 0.05 compared to other SNP barcodes. In conclusion, the proposed PSO algorithm effectively identifies the best SNP barcodes that have the strongest associations with FEP performance.

ConclusionsThis study also proposes a computational methodology for analyzing complex SNP-SNP interactions in social cognition domains such as recognition of facial emotion.

KeywordsParticle swarm optimization Single-nucleotide polymorphism SNP interaction Facial emotion perception Algorithm Electronic supplementary materialThe online version of this article doi:10.1186-1744-859X-13-15 contains supplementary material, which is available to authorized users.

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Author: Li-Yeh Chuang - Hsien-Yuan Lane - Yu-Da Lin - Ming-Teng Lin - Cheng-Hong Yang - Hsueh-Wei Chang

Source: https://link.springer.com/



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