Bipolar affective disorder is a severe heritable condition affecting about one percent of the population. The mode of inheritance is poorly understood and probably involves multiple loci of small to moderate effect. Genetic linkage studies have not been robust although some reports of linkage have been replicated several times. The NIMH began a national archival database for search of linked genes in this condition in 1988. Its purpose was to collect a large sample of interviews and cell line from families suitable for linkage and association studied. Four centers participated in the initiative: Indiana University, Johns Hopkins University, Washington University of St. Louis, and the NIMH Intramural Program. A new structured polydiagnostic interview, the Diagnostic Interview for Genetic Studies (DIGS), was developed and field-tested. Ascertainment was begun in 1992 to identify Bipolar I (BPI) probands with a BPI or Schizoaffective, Bipolar type (SA/BP) first degree relative. Two hundred and forty-three families have been enrolled in the program including 1025 affected subjects. Twenty one hundred sixth five structured interviews have been given and 2097 immortalized cell lines have been cryopreserved. A genomic survey has been completed on 540 subjects selected from 97 families and eight candidate areas for linkage have been identified, some supporting previous findings. These cell lines and related clinical information has been publicly released. A follow-up sample is presently being genotyped, with particular attention to areas of interest identified in the original survey. It is proposed to extend the present study through families identified by a BPI-BPI sib pair at eight sites (Indiana, Washington University of St. Louis, Johns Hopkins, University of Pennsylvania, University of California, San Diego University of Utah, University of Chicago, and University of Iowa). A total of 450 new families and 2500 cell lines and interviews over the next four years will be added. This sample will be used to confirm and extend present findings of linkage, to narrow the implicated regions, and to test candidate genes. Genotypes will be shared with a consortium of investigators studying linkage in bipolar illness. Cell lines and interview data will be made freely available to the scientific community.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH059533-02
Application #
2891154
Study Section
Special Emphasis Panel (ZRG2-MGN (01))
Program Officer
Moldin, Steven Owen
Project Start
1998-09-30
Project End
2000-08-31
Budget Start
1999-09-01
Budget End
2000-08-31
Support Year
2
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
045911138
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Ho, Kwo Wei David; Han, Shizhong; Nielsen, Jakob V et al. (2018) Genome-wide association study of seasonal affective disorder. Transl Psychiatry 8:190
Acikel, Cengizhan; Aydin Son, Yesim; Celik, Cemil et al. (2016) Evaluation of potential novel variations and their interactions related to bipolar disorders: analysis of genome-wide association study data. Neuropsychiatr Dis Treat 12:2997-3004
Hou, Liping; Heilbronner, Urs; Degenhardt, Franziska et al. (2016) Genetic variants associated with response to lithium treatment in bipolar disorder: a genome-wide association study. Lancet 387:1085-1093
Hou, Liping; Bergen, Sarah E; Akula, Nirmala et al. (2016) Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder. Hum Mol Genet 25:3383-3394
Gill, Kelly E; Cardenas, Stephanie A; Kassem, Layla et al. (2016) Symptom profiles and illness course among Anabaptist and Non-Anabaptist adults with major mood disorders. Int J Bipolar Disord 4:21
Lekman, Magnus; Karlsson, Robert; Graae, Lisette et al. (2015) A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis. BioData Min 8:42
Leonpacher, A K; Liebers, D; Pirooznia, M et al. (2015) Distinguishing bipolar from unipolar depression: the importance of clinical symptoms and illness features. Psychol Med 45:2437-46
Graae, Lisette; Paddock, Silvia; Belin, Andrea Carmine (2015) ReMo-SNPs: a new software tool for identification of polymorphisms in regions and motifs genome-wide. Genet Res (Camb) 97:e8
Swaminathan, Shanker; Koller, Daniel L; Foroud, Tatiana et al. (2015) Characteristics of Bipolar I patients grouped by externalizing disorders. J Affect Disord 178:206-14
Ament, Seth A; Szelinger, Szabolcs; Glusman, Gustavo et al. (2015) Rare variants in neuronal excitability genes influence risk for bipolar disorder. Proc Natl Acad Sci U S A 112:3576-81

Showing the most recent 10 out of 67 publications