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Familiality and diagnostic patterns of subphenotypes in the National Institutes of Mental Health Bipolar sample Erika H. Saunders and Laura J. Scott, contributed equally to the manuscript. Please cite this article as follows: Saunders EH, Scott LJ, McInnis MG, Burmeister M. 2007. Familiality and Diagnostic Patterns of Subphenotypes in the National Institutes of Mental Health Bipolar Sample. Am J Med Genet Part B 147B:18–26.

dc.contributor.authorSaunders, Erika H.en_US
dc.contributor.authorScott, Laura J.en_US
dc.contributor.authorMcInnis, Melvin G.en_US
dc.contributor.authorBurmeister, Margit L.en_US
dc.date.accessioned2008-01-04T20:12:44Z
dc.date.available2009-01-07T20:01:16Zen_US
dc.date.issued2008-01-05en_US
dc.identifier.citationSaunders, Erika H.; Scott, Laura J.; McInnis, Melvin G.; Burmeister, Margit (2008). "Familiality and diagnostic patterns of subphenotypes in the National Institutes of Mental Health Bipolar sample Erika H. Saunders and Laura J. Scott, contributed equally to the manuscript. Please cite this article as follows: Saunders EH, Scott LJ, McInnis MG, Burmeister M. 2007. Familiality and Diagnostic Patterns of Subphenotypes in the National Institutes of Mental Health Bipolar Sample. Am J Med Genet Part B 147B:18–26. ." American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 147B(1): 18-26. <http://hdl.handle.net/2027.42/57543>en_US
dc.identifier.issn1552-4841en_US
dc.identifier.issn1552-485Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/57543
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=17525972&dopt=citationen_US
dc.description.abstractBipolar-related subphenotypes that cluster within families may help identify subsets of patients that are more genetically homogeneous. Environmental or assessment factors that segregate by family may influence estimates of familiality. We aimed to determine familiality of subphenotypes of bipolar disorder (BP), accounting for effects of age, sex, diagnosis, and site/wave of ascertainment. We studied 589 sibships with 1416 siblings affected with bipolar I (BPI), schizoaffective disorder, bipolar type (SAB), bipolar II (BPII), or recurrent unipolar depression (RUDD). Sibships were from families with ≥2 BPI cases collected by the NIMH Bipolar Genetics Initiative (NIMHBGI). Rapid cycling showed the strongest evidence for familiality [odds ratio (OR) (95%CI) = 2.02 (1.43, 2.85), P  = 6.0 × 10 −5 ] in a model including age, sex, diagnosis, and site/wave of ascertainment. Additional significantly familial traits were comorbid alcohol abuse/dependence ( P  = 2 × 10 −4 ) and comorbid panic disorder ( P  = 8 × 10 −3 ), as well as psychosis, suicidal thoughts, and rapid mood switching ( P  = 6 × 10 −3  − 0.03). Omission of the effect of site/wave of ascertainment from the model inflated the significance level of the apparent familial association of almost all subphenotypes from one to four orders of magnitude. We have found evidence of familiality for subphenotypes of BP. In multicenter samples, familiality may be overestimated if variability in diagnosis of subphenotypes between site/wave of ascertainment is not considered. © 2007 Wiley-Liss, Inc.en_US
dc.format.extent172665 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherGeneticsen_US
dc.titleFamiliality and diagnostic patterns of subphenotypes in the National Institutes of Mental Health Bipolar sample Erika H. Saunders and Laura J. Scott, contributed equally to the manuscript. Please cite this article as follows: Saunders EH, Scott LJ, McInnis MG, Burmeister M. 2007. Familiality and Diagnostic Patterns of Subphenotypes in the National Institutes of Mental Health Bipolar Sample. Am J Med Genet Part B 147B:18–26.en_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan Depression Center, Ann Arbor, Michigan ; Department of Psychiatry, University of Michigan, Ann Arbor, Michigan ; Department of Psychiatry Rachel Upjohn Building, University of Michigan, 4250 Plymouth Road, Room 2201, Ann Arbor, MI 48109.en_US
dc.contributor.affiliationumDepartment of Biostatistics, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumUniversity of Michigan Depression Center, Ann Arbor, Michigan ; Department of Psychiatry, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumUniversity of Michigan Depression Center, Ann Arbor, Michigan ; Department of Psychiatry, University of Michigan, Ann Arbor, Michigan ; Molecular & Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, Michigan ; Department of Human Genetics, University of Michigan, Ann Arbor, Michiganen_US
dc.identifier.pmid17525972en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/57543/1/30558_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/ajmg.b.30558en_US
dc.identifier.sourceAmerican Journal of Medical Genetics Part B: Neuropsychiatric Geneticsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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