Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18805
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dc.contributor.authorBigdeli, Tim Ben
dc.contributor.authorRipke, Stephanen
dc.contributor.authorKirov, Georgeen
dc.contributor.authorMcQuillin, Andrewen
dc.contributor.authorGurling, Hughen
dc.contributor.authorRujescu, Danen
dc.contributor.authorAndreassen, Ole Aen
dc.contributor.authorWerge, Thomasen
dc.contributor.authorBlackwood, Douglas H Ren
dc.contributor.authorPato, Carlos Nen
dc.contributor.authorPato, Michele Ten
dc.contributor.authorMalhotra, Anil Ken
dc.contributor.authorBacanu, Silviu-Alinen
dc.contributor.authorO'Donovan, Michael C.en
dc.contributor.authorKendler, Kenneth Sen
dc.contributor.authorFanous, Ayman Hen
dc.contributor.authorLee, Sang Hongen
dc.contributor.authorWray, Naomi Ren
dc.contributor.authorGejman, Pablo Ven
dc.contributor.authorRietschel, Marcellaen
dc.contributor.authorCichon, Svenen
dc.contributor.authorSt Clair, Daviden
dc.contributor.authorCorvin, Aidenen
dc.date.accessioned2016-04-01T15:44:00Z-
dc.date.issued2016-
dc.identifier.citationAmerican Journal of Medical Genetics. Part B: Neuropsychiatric Genetics, 171(2), p. 276-289en
dc.identifier.issn1552-485Xen
dc.identifier.issn1552-4841en
dc.identifier.urihttps://hdl.handle.net/1959.11/18805-
dc.description.abstractGenome-wide association studies (GWAS) of schizophrenia have yielded more than 100 common susceptibility variants, and strongly support a substantial polygenic contribution of a large number of small allelic effects. It has been hypothesized that familial schizophrenia is largely a consequence of inherited rather than environmental factors. We investigated the extent to which familiality of schizophrenia is associated with enrichment for common risk variants detectable in a large GWAS. We analyzed single nucleotide polymorphism (SNP) data for cases reporting a family history of psychotic illness (N = 978), cases reporting no such family history (N = 4,503), and unscreened controls (N = 8,285) from the Psychiatric Genomics Consortium (PGC1) study of schizophrenia. We used a multinomial logistic regression approach with model-fitting to detect allelic effects specific to either family history subgroup.We also considered a polygenic model, in which we tested whether family history positive subjects carried more schizophrenia risk alleles than family history negative subjects, on average. Several individual SNPs attained suggestive but not genome-wide significant association with either family history subgroup. Comparison of genome-wide polygenic risk scores based on GWAS summary statistics indicated a significant enrichment for SNP effects among family history positive compared to family history negative cases (Nagelkerke's R2 = 0.0021; P¼0.00331; P = value threshold <0.4). Estimates of variability in disease liability attributable to the aggregate effect of genome-wide SNPs were significantly greater for family history positive compared to family history negative cases (0.32 and 0.22, respectively; P = 0.031).We found suggestive evidence of allelic effects detectable in large GWAS of schizophrenia that might be specific to particular family history subgroups. However, consideration of a polygenic risk score indicated a significant enrichment among family history positive cases for common allelic effects. Familial illness might, therefore, represent a more heritable form of schizophrenia, as suggested by previous epidemiological studies.en
dc.languageenen
dc.publisherJohn Wiley & Sons, Incen
dc.relation.ispartofAmerican Journal of Medical Genetics. Part B: Neuropsychiatric Geneticsen
dc.titleGenome-Wide Association Study Reveals Greater Polygenic Loading for Schizophrenia in Cases With a Family History of Illnessen
dc.typeJournal Articleen
dc.identifier.doi10.1002/ajmg.b.32402en
dc.subject.keywordsGenomicsen
dc.subject.keywordsQuantitative Genetics (incl. Disease and Trait Mapping Genetics)en
dc.subject.keywordsNeurogeneticsen
local.contributor.firstnameTim Ben
local.contributor.firstnameStephanen
local.contributor.firstnameGeorgeen
local.contributor.firstnameAndrewen
local.contributor.firstnameHughen
local.contributor.firstnameDanen
local.contributor.firstnameOle Aen
local.contributor.firstnameThomasen
local.contributor.firstnameDouglas H Ren
local.contributor.firstnameCarlos Nen
local.contributor.firstnameMichele Ten
local.contributor.firstnameAnil Ken
local.contributor.firstnameSilviu-Alinen
local.contributor.firstnameMichael C.en
local.contributor.firstnameKenneth Sen
local.contributor.firstnameAyman Hen
local.contributor.firstnameSang Hongen
local.contributor.firstnameNaomi Ren
local.contributor.firstnamePablo Ven
local.contributor.firstnameMarcellaen
local.contributor.firstnameSvenen
local.contributor.firstnameDaviden
local.contributor.firstnameAidenen
local.subject.for2008060410 Neurogeneticsen
local.subject.for2008060408 Genomicsen
local.subject.for2008060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)en
local.subject.seo2008920110 Inherited Diseases (incl. Gene Therapy)en
local.subject.seo2008970111 Expanding Knowledge in the Medical and Health Sciencesen
local.subject.seo2008970106 Expanding Knowledge in the Biological Sciencesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailslee38@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20160318-141316en
local.publisher.placeUnited States of Americaen
local.format.startpage276en
local.format.endpage289en
local.peerreviewedYesen
local.identifier.volume171en
local.identifier.issue2en
local.contributor.lastnameBigdelien
local.contributor.lastnameRipkeen
local.contributor.lastnameKiroven
local.contributor.lastnameMcQuillinen
local.contributor.lastnameGurlingen
local.contributor.lastnameRujescuen
local.contributor.lastnameAndreassenen
local.contributor.lastnameWergeen
local.contributor.lastnameBlackwooden
local.contributor.lastnamePatoen
local.contributor.lastnamePatoen
local.contributor.lastnameMalhotraen
local.contributor.lastnameBacanuen
local.contributor.lastnameO'Donovanen
local.contributor.lastnameKendleren
local.contributor.lastnameFanousen
local.contributor.lastnameLeeen
local.contributor.lastnameWrayen
local.contributor.lastnameGejmanen
local.contributor.lastnameRietschelen
local.contributor.lastnameCichonen
local.contributor.lastnameSt Clairen
local.contributor.lastnameCorvinen
dc.identifier.staffune-id:slee38en
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local.identifier.unepublicationidune:19005en
dc.identifier.academiclevelAcademicen
local.title.maintitleGenome-Wide Association Study Reveals Greater Polygenic Loading for Schizophrenia in Cases With a Family History of Illnessen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorBigdeli, Tim Ben
local.search.authorRipke, Stephanen
local.search.authorKirov, Georgeen
local.search.authorMcQuillin, Andrewen
local.search.authorGurling, Hughen
local.search.authorRujescu, Danen
local.search.authorAndreassen, Ole Aen
local.search.authorWerge, Thomasen
local.search.authorBlackwood, Douglas H Ren
local.search.authorPato, Carlos Nen
local.search.authorPato, Michele Ten
local.search.authorMalhotra, Anil Ken
local.search.authorBacanu, Silviu-Alinen
local.search.authorO'Donovan, Michael C.en
local.search.authorKendler, Kenneth Sen
local.search.authorFanous, Ayman Hen
local.search.authorLee, Sang Hongen
local.search.authorWray, Naomi Ren
local.search.authorGejman, Pablo Ven
local.search.authorRietschel, Marcellaen
local.search.authorCichon, Svenen
local.search.authorSt Clair, Daviden
local.search.authorCorvin, Aidenen
local.uneassociationUnknownen
local.year.published2016en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/2ccf23c6-7246-4c74-a0ca-7b90b1b58e63en
local.subject.for2020310511 Neurogeneticsen
local.subject.for2020310509 Genomicsen
local.subject.for2020310506 Gene mappingen
local.subject.seo2020280114 Expanding knowledge in Indigenous studiesen
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