We are performing a systematic screening of the human genome in order to identify a gene responsible for manic depressive disorder in the Old order Amish. We are utilizing a large multigenerational Old Order Amish pedigree with many affected individuals. By using this multigenerational pedigree with a high incidence of a disease manifested by a relatively consistent and definable phenotype, we reduce uncertainties in analysis that could otherwise be introduced as a consequence of genetic heterogeneity, variable mode of inheritance, phenocopies, and/or penetrance. Candidate genes have been studied. Highly informative markers particularly microsatellites scattered across the genome are used to obtain qenotypings. DNA of affected individuals is analyzed to ascertain whether trinucleotide expansions play a role in the pathogenesis of manic-depressive illness. Due to the lack of any definitive biological marker for bipolar illness (manic-depressive disorder), the linkage analyses are performed using several clinical hierarchies. Associative analyses are also carried out. Computer simulations using specific models are used to demonstrate the power of analyses. Simulation and data analysis includes several models of inheritance and diagnostic hierarchies, as well as polygenic etiologies. As marker genotypings are accumulated, the diagnostic data is updated, and our collection of cell lines from both normal and affected family member is being expanded. The availability of longitudinal follow-up evaluation for family members and the high frequency of manic depressive illness in the pedigree make the Old Order Amish pedigree a valuable resource in the search for the genetic loci involved in bipolar affective disorder.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Intramural Research (Z01)
Project #
1Z01MH002625-02
Application #
3781493
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
2
Fiscal Year
1993
Total Cost
Indirect Cost
Name
U.S. National Institute of Mental Health
Department
Type
DUNS #
City
State
Country
United States
Zip Code