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Genome-wide pathway analysis in attention-deficit/hyperactivity disorder

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dc.contributor.authorLee, Young Ho-
dc.contributor.authorSong, Gwan Gyu-
dc.date.accessioned2021-09-05T06:31:47Z-
dc.date.available2021-09-05T06:31:47Z-
dc.date.created2021-06-15-
dc.date.issued2014-08-
dc.identifier.issn1590-1874-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/97851-
dc.description.abstractThis study aimed to (1) to identify candidate single-nucleotide polymorphisms (SNPs) and mechanisms of attention-deficit/hyperactivity disorder (ADHD) and (2) to generate SNP-to-gene-to-pathway hypotheses. An ADHD genome-wide association study (GWAS) dataset that included 428,074 SNPs in 924 trios (2,758 individuals) of European descent was used in this study. The Identify candidate Causal SNPs and Pathways (ICSNPathway) analysis was applied to the GWAS dataset. ICSNPathway analysis identified 11 candidate SNPs, 6 genes, and 6 pathways, which provided 6 hypothetical biological mechanisms. The strongest hypothetical biological mechanism was that rs2532502 alters the role of CD27 in the context of the pathways of positive regulation of nucleocytoplasmic transport [nominal p < 0.001; false discovery rate (FDR) = 0.028]. The second strongest mechanism was the rs1820204, rs1052571, rs1052576 -> CASP9 -> mitochondrial pathway (nominal p < 0.001; FDR = 0.032). The third mechanism was the rs1801516 -> ATM -> CD25 pathway (nominal p < 0.001; FDR = 0.034). By applying the ICSNPathway analysis to the ADHD GWAS data, 11 candidate SNPs, 6 genes that included CD27, CASP9, ATM, CD12orf65, OXER1, and ACRY, and 6 pathways were identified that may contribute to ADHD susceptibility.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSPRINGER-VERLAG ITALIA SRL-
dc.subjectSCAN METAANALYSIS-
dc.subjectASSOCIATION-
dc.subjectDEPRESSION-
dc.subjectSYSTEM-
dc.titleGenome-wide pathway analysis in attention-deficit/hyperactivity disorder-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Young Ho-
dc.contributor.affiliatedAuthorSong, Gwan Gyu-
dc.identifier.doi10.1007/s10072-014-1671-2-
dc.identifier.scopusid2-s2.0-84905091266-
dc.identifier.wosid000339964200005-
dc.identifier.bibliographicCitationNEUROLOGICAL SCIENCES, v.35, no.8, pp.1189 - 1196-
dc.relation.isPartOfNEUROLOGICAL SCIENCES-
dc.citation.titleNEUROLOGICAL SCIENCES-
dc.citation.volume35-
dc.citation.number8-
dc.citation.startPage1189-
dc.citation.endPage1196-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryClinical Neurology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.subject.keywordPlusSCAN METAANALYSIS-
dc.subject.keywordPlusASSOCIATION-
dc.subject.keywordPlusDEPRESSION-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordAuthorAttention-deficit/hyperactivity disorder-
dc.subject.keywordAuthorGenome-wide association study-
dc.subject.keywordAuthorPathway-based analysis-
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