{"doi":"10.1093/ije/dyad109","title":"Cohort Profile Update: The Heinz C. Prechter Longitudinal Study of Bipolar Disorder","abstract":"Since its inception in 2006, the Heinz C. Prechter Longitudinal Study of Bipolar Disorder has continued to actively enrol and follow a cohort of individuals with bipolar disorder and unaffected psychiatric controls with deep phenotyping and ongoing monitoring of symptom severity. There are 1393 individuals in the cohort and 899 who continue to actively provide ongoing bimonthly outcomes assessments. The average follow-up period is 9 years (range 0–7 years). The study includes data from seven ontological classes of phenotypes: disease, neuropsychology, personality, motivated behaviour, sleep and circadian rhythms, life story and treatment outcomes patterns. The database of measures has been standardized and harmonized along with collected biological samples that can be shared and further utilized to research bipolar disorder. In addition to further longitudinal outcomes and symptom severity measures, new measures include wearable device data, mobile technology assessments, voice-derived emotion annotation, induced pluripotent stem cells and diverse molecular omics data. All clinical, longitudinal, biological and deoxyribonucleic acid samples are available through the Heinz C. Prechter Genetic Repository, distributed by the University of Michigan Central Biorepository. Initial diagnostic evaluation, omics data and longitudinal measures and outcome data, including coded subsets of the PRIORI speech data set, are available via request at the following e-mail address: [email protected], [email protected] conditional on data-use agreement. The Heinz C. Prechter Longitudinal Study of Bipolar Disorder is an open cohort of bipolar disorder (BD) that began in 2006 and continues to enrol new participants. The study includes individuals with BD and unaffected controls, both with deep phenotyping using a dimensional and multidisciplinary approach. The rationale for the establishment of this cohort was the recognized need for deep clinical phenotypic data with longitudinal symptoms and outcomes data. The complexity of BD along with the dynamic and variable nature of the clinical phenotype, which includes variability in the frequency of changing clinical states over time, was a further impetus for the longitudinal approach. Participants are opportunistically recruited into the cohort through advertisements on the web and in newspapers, outpatient specialty psychiatric clinics, community mental health centres, community outreach events and in the inpatient psychiatric unit at the University of Michigan from 2006, continuing until the present. Inclusion criteria into the cohort include: (i) BD I diagnosis with history of mania or schizoaffective disorder, manic type; or (ii) BD II diagnosis with history of major depressive episode or hypomania; and (iii) ≥18 years of age and willingness to participate in a longitudinal study. Participants were excluded during screening for enrolment if they had schizophrenia or schizoaffective disorder, depressive type; active substance dependence (that would impair their ability to provide accurate information); medical illnesses associated with depression (e.g. Cushing’s disease, stroke, etc.); or substantial intellectual impairment (IQ < 70). However, individuals initially ascertained as having BD but over time, following detailed clinical assessment, were found to have other diagnoses, e.g. non-affective disorder, other affective disorder and major depression disorder, have been retained and continue to be followed. Healthy and unaffected controls were recruited through community and campus advertising and included if they had no history of Diagnostic and Statistical Manual of Mental Disorders version IV (DSM-IV) axis I psychiatric illness and no family history of psychiatric diagnosis; no attempt was made to match for sex or age. Recruitment of controls was discontinued at n = 288 but they remain in the follow-up cohort, roughly matched by age and sex. The control group is representative of the geographic","journal":"International Journal of Epidemiology","year":2023,"id":343087,"datarank":0.40620753016533157,"base_score":2.70805020110221,"endowment":2.70805020110221,"self_citation_contribution":0.40620753016533157,"citation_network_contribution":0.0,"self_endowment_contribution":0.40620753016533157,"citer_contribution":0.0,"corpus_percentile":54.67625899280576,"corpus_rank":5856,"citation_count":14,"citer_count":1,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.9262,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1081185,"name":"Steve Anderau","orcid":null,"position":1,"is_corresponding":false},{"id":994467,"name":"Holli Bertram","orcid":"0000-0001-9446-5121","position":2,"is_corresponding":false},{"id":290035,"name":"Helen J. Burgess","orcid":"0000-0003-3816-8194","position":3,"is_corresponding":false},{"id":406739,"name":"Amy L. Cochran","orcid":"0000-0001-6024-796X","position":4,"is_corresponding":false},{"id":463905,"name":"Patricia J. Deldin","orcid":"0000-0002-3584-3513","position":5,"is_corresponding":false},{"id":1080577,"name":"Simon J. Evans","orcid":"0000-0001-8112-9487","position":6,"is_corresponding":false},{"id":530321,"name":"Peisong Han","orcid":"0000-0001-8603-5009","position":7,"is_corresponding":false},{"id":463650,"name":"Paul M. Jenkins","orcid":"0000-0002-4207-5823","position":8,"is_corresponding":false},{"id":1080578,"name":"Ravleen Kaur","orcid":"0009-0008-9497-0337","position":9,"is_corresponding":false},{"id":392549,"name":"Scott A. Langenecker","orcid":"0000-0002-7932-5494","position":10,"is_corresponding":false},{"id":888332,"name":"David Marshall","orcid":"0000-0001-6836-6891","position":11,"is_corresponding":false},{"id":388677,"name":"Emily Mower Provost","orcid":"0000-0003-1870-6063","position":12,"is_corresponding":false},{"id":485602,"name":"K. Sue O’Shea","orcid":null,"position":13,"is_corresponding":false},{"id":362426,"name":"Kelly A. Ryan","orcid":"0000-0001-5032-3949","position":14,"is_corresponding":false},{"id":563731,"name":"Sarah H. Sperry","orcid":"0000-0002-1111-7357","position":15,"is_corresponding":false},{"id":680041,"name":"Shawna N. Smith","orcid":"0000-0003-3526-3129","position":16,"is_corresponding":false},{"id":481688,"name":"Ivy F. Tso","orcid":"0000-0002-0984-1186","position":17,"is_corresponding":false},{"id":1081186,"name":"Kritika Versha","orcid":null,"position":18,"is_corresponding":false},{"id":1081187,"name":"Brittany M Wright","orcid":null,"position":19,"is_corresponding":false},{"id":16099,"name":"Sebastian Zöllner","orcid":"0009-0005-9855-9017","position":20,"is_corresponding":false},{"id":362434,"name":"Melvin G. McInnis","orcid":"0000-0002-0375-6247","position":21,"is_corresponding":false},{"id":559460,"name":"Anastasia K. Yocum","orcid":"0000-0002-1592-0825","position":0,"is_corresponding":true}],"reference_count":25,"raw_metadata":null,"created_at":"2026-07-19T01:11:21.758449Z","pmid":"37541830","pmcid":"PMC10749747","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}