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dc.contributor.authorNiemi, MEK
dc.contributor.authorMartin, HC
dc.contributor.authorRice, DL
dc.contributor.authorGallone, G
dc.contributor.authorGordon, S
dc.contributor.authorKelemen, M
dc.contributor.authorMcAloney, K
dc.contributor.authorMcRae, J
dc.contributor.authorRadford, EJ
dc.contributor.authorYu, S
dc.contributor.authorGecz, J
dc.contributor.authorMartin, NG
dc.contributor.authorWright, CF
dc.contributor.authorFitzpatrick, DR
dc.contributor.authorFirth, HV
dc.contributor.authorHurles, ME
dc.contributor.authorBarrett, JC
dc.date.accessioned2019-01-30T15:16:55Z
dc.date.issued2018-09-26
dc.description.abstractThere are thousands of rare human disorders that are caused by single deleterious, protein-coding genetic variants1. However, patients with the same genetic defect can have different clinical presentations2–4, and some individuals who carry known disease-causing variants can appear unaffected5. Here, to understand what explains these differences, we study a cohort of 6,987 children assessed by clinical geneticists to have severe neurodevelopmental disorders such as global developmental delay and autism, often in combination with abnormalities of other organ systems. Although the genetic causes of these neurodevelopmental disorders are expected to be almost entirely monogenic, we show that 7.7% of variance in risk is attributable to inherited common genetic variation. We replicated this genome-wide common variant burden by showing, in an independent sample of 728 trios (comprising a child plus both parents) from the same cohort, that this burden is over-transmitted from parents to children with neurodevelopmental disorders. Our common-variant signal is significantly positively correlated with genetic predisposition to lower educational attainment, decreased intelligence and risk of schizophrenia. We found that common-variant risk was not significantly different between individuals with and without a known protein-coding diagnostic variant, which suggests that common-variant risk affects patients both with and without a monogenic diagnosis. In addition, previously published common-variant scores for autism, height, birth weight and intracranial volume were all correlated with these traits within our cohort, which suggests that phenotypic expression in individuals with monogenic disorders is affected by the same variants as in the general population. Our results demonstrate that common genetic variation affects both overall risk and clinical presentation in neurodevelopmental disorders that are typically considered to be monogenic.en_GB
dc.description.sponsorshipNational Institute for Health Research (NIHR)en_GB
dc.description.sponsorshipEconomic and Social Research Council (ESRC)en_GB
dc.description.sponsorshipMedical Research Council (MRC)en_GB
dc.identifier.citationVol. 562, pp. 268 - 271en_GB
dc.identifier.doi10.1038/s41586-018-0566-4
dc.identifier.grantnumberComprehensive Clinical Research Networken_GB
dc.identifier.grantnumberES/M008592/1en_GB
dc.identifier.grantnumberMR/N01104X/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/35666
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.rights.embargoreasonPublisher policy
dc.rights© 2018 Springer Nature Limited. All rights reserved.en_GB
dc.titleCommon genetic variants contribute to risk of rare severe neurodevelopmental disordersen_GB
dc.typeArticleen_GB
dc.date.available2019-01-30T15:16:55Z
dc.identifier.issn0028-0836
dc.descriptionThis is the author accepted manuscript. The final version is available from Nature Research via the DOI in this record.en_GB
dc.descriptionExtended data is available for this paper at https://doi.org/10.1038/s41586-018-0566-4en_GB
dc.descriptionThe raw genotype data, post-quality-control genotype data and discovery GWAS summary statistics generated and/or analysed during the current study are available through European Genome-phenome Archive, under EGAS00001000775.en_GB
dc.descriptionThis study makes use of data generated by the DECIPHER community: a full list of centres that contributed to the generation of the data is available from http:// decipher.sanger.ac.uk, and via email from decipher@sanger.ac.uk.en_GB
dc.descriptionInformation on how to access the data from the UKHLS can be found on the ‘Understanding Society’ website, at https://www.understandingsociety.ac.uk/en_GB
dc.identifier.journalNatureen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2018-09-04
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2018-09-26
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-01-30T15:08:07Z
refterms.versionFCDAM
refterms.panelAen_GB


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