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https://hdl.handle.net/1959.11/22045
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DC Field | Value | Language |
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dc.contributor.author | Lee, Sang Hong | en |
dc.contributor.author | DeCandia, Teresa R | en |
dc.contributor.author | Visscher, Peter M | en |
dc.contributor.author | Wray, Naomi R | en |
dc.contributor.author | Ripke, Stephan | en |
dc.contributor.author | Yang, Jian | en |
dc.contributor.author | Sullivan, Patrick F | en |
dc.contributor.author | Goddard, Michael E | en |
dc.contributor.author | Keller, Matthew C | en |
dc.date.accessioned | 2017-10-27T11:22:00Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Nature Genetics, 44(3), p. 247-250 | en |
dc.identifier.issn | 1546-1718 | en |
dc.identifier.issn | 1061-4036 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/22045 | - |
dc.description.abstract | Schizophrenia 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.language | en | en |
dc.publisher | Nature Publishing Group | en |
dc.relation.ispartof | Nature Genetics | en |
dc.title | Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1038/ng.1108 | en |
dcterms.accessRights | Green | en |
dc.subject.keywords | Gene Expression (incl. Microarray and other genome-wide approaches) | en |
local.contributor.firstname | Sang Hong | en |
local.contributor.firstname | Teresa R | en |
local.contributor.firstname | Peter M | en |
local.contributor.firstname | Naomi R | en |
local.contributor.firstname | Stephan | en |
local.contributor.firstname | Jian | en |
local.contributor.firstname | Patrick F | en |
local.contributor.firstname | Michael E | en |
local.contributor.firstname | Matthew C | en |
local.subject.for2008 | 060405 Gene Expression (incl. Microarray and other genome-wide approaches) | en |
local.subject.seo2008 | 920110 Inherited Diseases (incl. Gene Therapy) | en |
dc.contributor.corporate | International Schizophrenia Consortium (ISC) | en |
dc.contributor.corporate | Molecular Genetics of Schizophrenia Collaboration (MGS) | en |
dc.contributor.corporate | Psychiatric Genomics Consortium, Schizophrenia Working Group (PGC SCZ) | en |
local.contributor.grantor | author | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.email | slee38@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une-20171024-182249 | en |
local.publisher.place | United States of America | en |
local.format.startpage | 247 | en |
local.format.endpage | 250 | en |
local.url.open | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3327879/ | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 44 | en |
local.identifier.issue | 3 | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | Lee | en |
local.contributor.lastname | DeCandia | en |
local.contributor.lastname | Visscher | en |
local.contributor.lastname | Wray | en |
local.contributor.lastname | Ripke | en |
local.contributor.lastname | Yang | en |
local.contributor.lastname | Sullivan | en |
local.contributor.lastname | Goddard | en |
local.contributor.lastname | Keller | en |
dc.identifier.staff | une-id:slee38 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:22235 | en |
local.identifier.handle | https://hdl.handle.net/1959.11/22045 | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Lee, Sang Hong | en |
local.search.author | DeCandia, Teresa R | en |
local.search.author | Visscher, Peter M | en |
local.search.author | Wray, Naomi R | en |
local.search.author | Ripke, Stephan | en |
local.search.author | Yang, Jian | en |
local.search.author | Sullivan, Patrick F | en |
local.search.author | Goddard, Michael E | en |
local.search.author | Keller, Matthew C | en |
local.uneassociation | Unknown | en |
local.year.published | 2012 | en |
local.subject.for2020 | 310505 Gene expression (incl. microarray and other genome-wide approaches) | en |
local.subject.seo2020 | 200101 Diagnosis of human diseases and conditions | en |
Appears in Collections: | Journal Article |
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