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dc.contributor.authorvan Loo, H M
dc.contributor.authorVan Borkulo, C D
dc.contributor.authorPeterson, R E
dc.contributor.authorFried, E I
dc.contributor.authorAggen, S H
dc.contributor.authorBorsboom, D
dc.contributor.authorKendler, K S
dc.date.accessioned2023-02-15T20:07:50Z
dc.date.available2023-02-15T20:07:50Z
dc.date.issued2017-10-29
dc.identifier.citationvan Loo HM, Van Borkulo CD, Peterson RE, Fried EI, Aggen SH, Borsboom D, Kendler KS. Robust symptom networks in recurrent major depression across different levels of genetic and environmental risk. J Affect Disord. 2018 Feb;227:313-322. doi: 10.1016/j.jad.2017.10.038. Epub 2017 Oct 29. PMID: 29132074; PMCID: PMC5815316.en_US
dc.identifier.eissn1573-2517
dc.identifier.doi10.1016/j.jad.2017.10.038
dc.identifier.pmid29132074
dc.identifier.urihttp://hdl.handle.net/20.500.12648/8377
dc.description.abstractGenetic risk and environmental adversity-both important risk factors for major depression (MD)-are thought to differentially impact on depressive symptom types and associations. Does heterogeneity in these risk factors result in different depressive symptom networks in patients with MD?
dc.description.abstractA clinical sample of 5784 Han Chinese women with recurrent MD were interviewed about their depressive symptoms during their lifetime worst episode of MD. The cases were classified into subgroups based on their genetic risk for MD (family history, polygenic risk score, early age at onset) and severe adversity (childhood sexual abuse, stressful life events). Differences in MD symptom network structure were statistically examined for these subgroups using permutation-based network comparison tests.
dc.description.abstractAlthough significant differences in symptom endorsement rates were seen in 18.8% of group comparisons, associations between depressive symptoms were similar across the different subgroups of genetic and environmental risk. Network comparison tests showed no significant differences in network strength, structure, or specific edges (P-value > 0.05) and correlations between edges were strong (0.60-0.71).
dc.description.abstractThis study analyzed depressive symptoms retrospectively reported by severely depressed women using novel statistical methods. Future studies are warranted to investigate whether similar findings hold in prospective longitudinal data, less severely depressed patients, and men.
dc.description.abstractSimilar depressive symptom networks for MD patients with a higher or lower genetic or environmental risk suggest that differences in these etiological influences may produce similar symptom networks downstream for severely depressed women.
dc.language.isoenen_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/abs/pii/S0165032717318116en_US
dc.rightsCopyright © 2017. Published by Elsevier B.V.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectComplex networksen_US
dc.subjectDepressive symptomsen_US
dc.subjectGenetic risken_US
dc.subjectMajor depressive disorderen_US
dc.subjectStressful life eventsen_US
dc.titleRobust symptom networks in recurrent major depression across different levels of genetic and environmental risk.en_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleJournal of affective disordersen_US
dc.source.volume227
dc.source.beginpage313
dc.source.endpage322
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited Kingdom
dc.source.countryUnited Kingdom
dc.source.countryNetherlands
dc.description.versionAMen_US
refterms.dateFOA2023-02-15T20:07:51Z
html.description.abstractGenetic risk and environmental adversity-both important risk factors for major depression (MD)-are thought to differentially impact on depressive symptom types and associations. Does heterogeneity in these risk factors result in different depressive symptom networks in patients with MD?
html.description.abstractA clinical sample of 5784 Han Chinese women with recurrent MD were interviewed about their depressive symptoms during their lifetime worst episode of MD. The cases were classified into subgroups based on their genetic risk for MD (family history, polygenic risk score, early age at onset) and severe adversity (childhood sexual abuse, stressful life events). Differences in MD symptom network structure were statistically examined for these subgroups using permutation-based network comparison tests.
html.description.abstractAlthough significant differences in symptom endorsement rates were seen in 18.8% of group comparisons, associations between depressive symptoms were similar across the different subgroups of genetic and environmental risk. Network comparison tests showed no significant differences in network strength, structure, or specific edges (P-value > 0.05) and correlations between edges were strong (0.60-0.71).
html.description.abstractThis study analyzed depressive symptoms retrospectively reported by severely depressed women using novel statistical methods. Future studies are warranted to investigate whether similar findings hold in prospective longitudinal data, less severely depressed patients, and men.
html.description.abstractSimilar depressive symptom networks for MD patients with a higher or lower genetic or environmental risk suggest that differences in these etiological influences may produce similar symptom networks downstream for severely depressed women.
dc.description.institutionSUNY Downstateen_US
dc.description.departmentPsychiatry and Behavioral Sciencesen_US
dc.description.departmentInstitute for Genomics in Healthen_US
dc.description.degreelevelN/Aen_US
dc.identifier.journalJournal of affective disorders


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Copyright © 2017. Published by Elsevier B.V.
Except where otherwise noted, this item's license is described as Copyright © 2017. Published by Elsevier B.V.