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dc.contributor.authorLuciano, Michelle
dc.contributor.authorHansell, Narelle
dc.contributor.authorLahti, Jari
dc.contributor.authorDavies, Gail
dc.contributor.authorMedland, Sarah E
dc.contributor.authorRäikkönen, Katri
dc.contributor.authorTenesa, Albert
dc.contributor.authorWiden, Elisabeth
dc.contributor.authorMcGhee, Kevin A
dc.contributor.authorPalotie, Aarno
dc.contributor.authorLiewald, David
dc.contributor.authorPorteous, David
dc.contributor.authorStarr, John M
dc.contributor.authorMontgomery, Grant
dc.contributor.authorMartin, Nicholas G
dc.contributor.authorEriksson, Johan G
dc.contributor.authorWright, Margaret J
dc.contributor.authorDeary, Ian J
dc.date.accessioned2011-03-03T11:47:51Z
dc.date.available2011-03-03T11:47:51Z
dc.date.issued2011
dc.identifier.citationLuciano, M., et al., Whole genome association scan for genetic polymorphisms influencing information processing speed. Biol.Psychol. (2011)en
dc.identifier.urihttp://dx.doi.org/10.1016/j.biopsycho.2010.11.008
dc.identifier.urihttp://hdl.handle.net/1842/4838
dc.descriptionThis work was supported by the Biotechnology and Biological Sciences Research Council [grant number BB/F019394/1]
dc.descriptiongrant number BB/F019394/1en
dc.description.abstractProcessing speed is an important cognitive function that is compromised in psychiatric illness (e.g., schizophrenia, depression) and old age; it shares genetic background with complex cognition (e.g., working memory, reasoning). To find genes influencing speed we performed a genome-wide association scan in up to three cohorts: Brisbane (mean age 16 years; N=1659); LBC1936 (mean age 70 years, N=992); LBC1921 (mean age 82 years, N=307), and; HBCS (mean age 64 years, N=1080). Meta-analysis of the common measures highlighted various suggestively significant (p<1.21x10-5) SNPs and plausible candidate genes (e.g., TRIB3). A biological pathways analysis of the speed factor identified two common pathways from the KEGG database (cell junction, focal adhesion) in two cohorts, while a pathway analysis linked to the GO database revealed common pathways across pairs of speed measures (e.g., receptor binding, cellular metabolic process). These highlighted genes and pathways will be able to inform future research, including results for psychiatric disease.en
dc.contributor.sponsorBiotechnology and Biological Sciences Research Council (BBSRC)
dc.language.isoenen
dc.publisherElsevieren
dc.subjectinformation processing speeden
dc.subjectcognitive abilityen
dc.subjectgenesen
dc.subjectbiological pathwaysen
dc.titleWhole genome association scan for genetic polymorphisms influencing information processing speed.en
dc.typeArticleen
dc.identifier.doi10.1016/j.biopsycho.2010.11.008


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