dc.contributor.author |
Duncan, Laramie |
en |
dc.contributor.author |
Yilmaz, Zeynep |
en |
dc.contributor.author |
Gaspar, Helena |
en |
dc.contributor.author |
Walters, Raymond |
en |
dc.contributor.author |
Goldstein, Jackie |
en |
dc.contributor.author |
Anttila, Verneri |
en |
dc.contributor.author |
Bulik-Sullivan, Brendan |
en |
dc.contributor.author |
Ripke, Stephan |
en |
dc.contributor.author |
Eating Disorders Working Group of the Psychiatric Genomics Consortium |
en |
dc.contributor.author |
Thornton, Laura |
en |
dc.contributor.author |
Hinney, Anke |
en |
dc.contributor.author |
Daly, Mark |
en |
dc.contributor.author |
Sullivan, Patrick F |
en |
dc.contributor.author |
Zeggini, Eleftheria |
en |
dc.contributor.author |
Breen, Gerome |
en |
dc.contributor.author |
Bulik, Cynthia M |
en |
dc.date.accessioned |
2018-11-13T02:03:35Z |
en |
dc.date.issued |
2017-09 |
en |
dc.identifier.issn |
0002-953X |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/44162 |
en |
dc.description.abstract |
OBJECTIVE:The authors conducted a genome-wide association study of anorexia nervosa and calculated genetic correlations with a series of psychiatric, educational, and metabolic phenotypes. METHOD:Following uniform quality control and imputation procedures using the 1000 Genomes Project (phase 3) in 12 case-control cohorts comprising 3,495 anorexia nervosa cases and 10,982 controls, the authors performed standard association analysis followed by a meta-analysis across cohorts. Linkage disequilibrium score regression was used to calculate genome-wide common variant heritability (single-nucleotide polymorphism [SNP]-based heritability [h2SNP]), partitioned heritability, and genetic correlations (rg) between anorexia nervosa and 159 other phenotypes. RESULTS:Results were obtained for 10,641,224 SNPs and insertion-deletion variants with minor allele frequencies >1% and imputation quality scores >0.6. The h2SNP of anorexia nervosa was 0.20 (SE=0.02), suggesting that a substantial fraction of the twin-based heritability arises from common genetic variation. The authors identified one genome-wide significant locus on chromosome 12 (rs4622308) in a region harboring a previously reported type 1 diabetes and autoimmune disorder locus. Significant positive genetic correlations were observed between anorexia nervosa and schizophrenia, neuroticism, educational attainment, and high-density lipoprotein cholesterol, and significant negative genetic correlations were observed between anorexia nervosa and body mass index, insulin, glucose, and lipid phenotypes. CONCLUSIONS:Anorexia nervosa is a complex heritable phenotype for which this study has uncovered the first genome-wide significant locus. Anorexia nervosa also has large and significant genetic correlations with both psychiatric phenotypes and metabolic traits. The study results encourage a reconceptualization of this frequently lethal disorder as one with both psychiatric and metabolic etiology. |
en |
dc.format.medium |
Print-Electronic |
en |
dc.language |
eng |
en |
dc.relation.ispartofseries |
The American journal of psychiatry |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.subject |
Eating Disorders Working Group of the Psychiatric Genomics Consortium |
en |
dc.subject |
Humans |
en |
dc.subject |
Genetic Predisposition to Disease |
en |
dc.subject |
Case-Control Studies |
en |
dc.subject |
Anorexia Nervosa |
en |
dc.subject |
Linkage Disequilibrium |
en |
dc.subject |
Phenotype |
en |
dc.subject |
Polymorphism, Single Nucleotide |
en |
dc.subject |
Genome-Wide Association Study |
en |
dc.title |
Significant Locus and Metabolic Genetic Correlations Revealed in Genome-Wide Association Study of Anorexia Nervosa. |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1176/appi.ajp.2017.16121402 |
en |
pubs.issue |
9 |
en |
pubs.begin-page |
850 |
en |
pubs.volume |
174 |
en |
dc.rights.holder |
Copyright: The author |
en |
dc.identifier.pmid |
28494655 |
en |
pubs.end-page |
858 |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Meta-Analysis |
en |
pubs.subtype |
Research Support, Non-U.S. Gov't |
en |
pubs.subtype |
research-article |
en |
pubs.subtype |
Journal Article |
en |
pubs.subtype |
Research Support, N.I.H., Extramural |
en |
pubs.elements-id |
656730 |
en |
pubs.org-id |
Medical and Health Sciences |
en |
pubs.org-id |
Population Health |
en |
pubs.org-id |
Gen.Practice& Primary Hlthcare |
en |
dc.identifier.eissn |
1535-7228 |
en |
pubs.record-created-at-source-date |
2017-05-13 |
en |
pubs.dimensions-id |
28494655 |
en |