Identification of SNP barcode biomarkers for genes associated with facial emotion perception using particle swarm optimization algorithm.
Background Facial 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 unc...
| Publicado en: | Annals of General Psychiatry Vol. 13; no. 1; pp. 1 - 17 |
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| Autores principales: | , , , , , |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
BioMed Central
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=96398891&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 96398891 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1744859X 1CFB jtl: Annals of General Psychiatry issn: 1744859X maglogo: N pubinfo: dt: 2014 vid: 13 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 96398891 96398891 96398891 10.1186/1744-859X-13-15 96398891 ppf: 1 ppct: 16 formats: tig: atl: Identification of SNP barcode biomarkers for genes associated with facial emotion perception using particle swarm optimization algorithm. aug: au: Li-Yeh Chuang Hsien-Yuan Lane Yu-Da Lin Ming-Teng Lin Cheng-Hong Yang Hsueh-Wei Chang affil: Department of Chemical Engineering & Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung 84001, Taiwan sug: subj: Polymorphism, Single Nucleotide Facial Expression Social Behavior Disorders Familial and Genetic Cognition Particle Swarm Optimization Utilization Human Taiwan Data Analysis Software Confidence Intervals Odds Ratio Male Female Clinical Assessment Tools Genotype Male Female ab: Background Facial 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. Methods This 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). Results The 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. Conclusions This study also proposes a computational methodology for analyzing complex SNP-SNP interactions in social cognition domains such as recognition of facial emotion. pubtype: Academic Journal doctype: algorithm equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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