Bipolar Disorder is a common, often severe mental illness. Family, twin, and adoption studies have demonstrated that genes are the major determinant of individual risk for the disorder, but as in other common disorders, the identification of these genes has proven to be a significant challenge. In collaboration with 10 academic centers across the United States, we have recruited a large sample of families in which at least 2 siblings suffer from bipolar disorder or related mood disorders. This is the largest sample ever to participate in a genetic study of bipolar disorder. All research participants have undergone a diagnostic interview and provided a blood sample for DNA analysis. Genetic linkage studies have been performed using molecular markers evenly spaced across all chromosomes. These studies suggest that regions on chromosomes 8, 6, 13, 17, 18, and 22, among others, may contain genes that contribute to bipolar disorder in these families. Ongoing work is aimed at identifying the actual genes involved. Single nucleotide polymorphisms are being used to identify small chromosomal regions that are overrepresented in people with bipolar disorder. This work has so far identified genes on chromosomes 13, 22, and 18 as the sites of genetic variation that increase risk for bipolar disorder in some people. Related collaborative projects are aimed at investigating genetic variation in candidate genes important in the stress response or regulation of mood or anxiety that may mediate risk for mood and anxiety disorders. In the past year, we have obtained additional evidence supporting association between genes on chromosomes 13 and 22 with risk for bipolar disorder. We have also identified genetic variation in the gene TPH2 that is associated both with bipolar disorder and with suicidal behavior.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Intramural Research (Z01)
Project #
1Z01MH002810-03
Application #
7136806
Study Section
(DIRP)
Project Start
Project End
Budget Start
Budget End
Support Year
3
Fiscal Year
2005
Total Cost
Indirect Cost
Name
U.S. National Institute of Mental Health
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Ho, Kwo Wei David; Han, Shizhong; Nielsen, Jakob V et al. (2018) Genome-wide association study of seasonal affective disorder. Transl Psychiatry 8:190
Rao, A R; Yourshaw, M; Christensen, B et al. (2017) Rare deleterious mutations are associated with disease in bipolar disorder families. Mol Psychiatry 22:1009-1014
Nassan, Malik; Li, Qingqin; Croarkin, Paul E et al. (2017) A genome wide association study suggests the association of muskelin with early onset bipolar disorder: Implications for a GABAergic epileptogenic neurogenesis model. J Affect Disord 208:120-129
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
Cardenas, Stephanie A; Kassem, Layla; Brotman, Melissa A et al. (2016) Neurocognitive functioning in euthymic patients with bipolar disorder and unaffected relatives: A review of the literature. Neurosci Biobehav Rev 69:193-215
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
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

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