Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22045
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dc.contributor.authorLee, Sang Hongen
dc.contributor.authorDeCandia, Teresa Ren
dc.contributor.authorVisscher, Peter Men
dc.contributor.authorWray, Naomi Ren
dc.contributor.authorRipke, Stephanen
dc.contributor.authorYang, Jianen
dc.contributor.authorSullivan, Patrick Fen
dc.contributor.authorGoddard, Michael Een
dc.contributor.authorKeller, Matthew Cen
dc.date.accessioned2017-10-27T11:22:00Z-
dc.date.issued2012-
dc.identifier.citationNature Genetics, 44(3), p. 247-250en
dc.identifier.issn1546-1718en
dc.identifier.issn1061-4036en
dc.identifier.urihttps://hdl.handle.net/1959.11/22045-
dc.description.abstractSchizophrenia is a complex disorder caused by both genetic and environmental factors. Using 9,087 affected individuals, 12,171 controls and 915,354 imputed SNPs from the Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium (PGC-SCZ), we estimate that 23% (s.e. = 1%) of variation in liability to schizophrenia is captured by SNPs. We show that a substantial proportion of this variation must be the result of common causal variants, that the variance explained by each chromosome is linearly related to its length (r = 0.89, P = 2.6 x 10(-8)), that the genetic basis of schizophrenia is the same in males and females, and that a disproportionate proportion of variation is attributable to a set of 2,725 genes expressed in the central nervous system (CNS; P = 7.6 x 10(-8)). These results are consistent with a polygenic genetic architecture and imply more individual SNP associations will be detected for this disease as sample size increases.en
dc.languageenen
dc.publisherNature Publishing Groupen
dc.relation.ispartofNature Geneticsen
dc.titleEstimating the proportion of variation in susceptibility to schizophrenia captured by common SNPsen
dc.typeJournal Articleen
dc.identifier.doi10.1038/ng.1108en
dcterms.accessRightsGreenen
dc.subject.keywordsGene Expression (incl. Microarray and other genome-wide approaches)en
local.contributor.firstnameSang Hongen
local.contributor.firstnameTeresa Ren
local.contributor.firstnamePeter Men
local.contributor.firstnameNaomi Ren
local.contributor.firstnameStephanen
local.contributor.firstnameJianen
local.contributor.firstnamePatrick Fen
local.contributor.firstnameMichael Een
local.contributor.firstnameMatthew Cen
local.subject.for2008060405 Gene Expression (incl. Microarray and other genome-wide approaches)en
local.subject.seo2008920110 Inherited Diseases (incl. Gene Therapy)en
dc.contributor.corporateInternational Schizophrenia Consortium (ISC)en
dc.contributor.corporateMolecular Genetics of Schizophrenia Collaboration (MGS)en
dc.contributor.corporatePsychiatric Genomics Consortium, Schizophrenia Working Group (PGC SCZ)en
local.contributor.grantorauthoren
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-20171024-182249en
local.publisher.placeUnited States of Americaen
local.format.startpage247en
local.format.endpage250en
local.url.openhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3327879/en
local.peerreviewedYesen
local.identifier.volume44en
local.identifier.issue3en
local.access.fulltextYesen
local.contributor.lastnameLeeen
local.contributor.lastnameDeCandiaen
local.contributor.lastnameVisscheren
local.contributor.lastnameWrayen
local.contributor.lastnameRipkeen
local.contributor.lastnameYangen
local.contributor.lastnameSullivanen
local.contributor.lastnameGoddarden
local.contributor.lastnameKelleren
dc.identifier.staffune-id:slee38en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:22235en
local.identifier.handlehttps://hdl.handle.net/1959.11/22045en
dc.identifier.academiclevelAcademicen
local.title.maintitleEstimating the proportion of variation in susceptibility to schizophrenia captured by common SNPsen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorLee, Sang Hongen
local.search.authorDeCandia, Teresa Ren
local.search.authorVisscher, Peter Men
local.search.authorWray, Naomi Ren
local.search.authorRipke, Stephanen
local.search.authorYang, Jianen
local.search.authorSullivan, Patrick Fen
local.search.authorGoddard, Michael Een
local.search.authorKeller, Matthew Cen
local.uneassociationUnknownen
local.year.published2012en
local.subject.for2020310505 Gene expression (incl. microarray and other genome-wide approaches)en
local.subject.seo2020200101 Diagnosis of human diseases and conditionsen
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