This is a second revision of a collaborative R01 four-year competing continuation proposal to create a large repository-based sample of cases with recurrent, early-onset major depressive disorder (MDD-RE), and to use positional cloning to identify depression susceptibility genes in regions of significant linkage in our genome scan. The completed four-year project collected 680 families containing 927 affected sibling pairs (ASPs) (MDD-RE diagnostic model) and additional affected relatives (GenRED I). Blinded clinical data and blood specimens for cell culture were deposited in the NIMH repository and are being made public. Linkage fine-mapping has demonstrated genome-wide significant linkage on chromosome 15q; in the 10 cM genome scan, suggestive sex-specific linkage was observed in three regions (6p-q, 8p, 17p), with the result on chromosome 17p approaching genome-wide significance. Six collaborating sites now propose to: (1) Collect (during Years 1-3) an additional 1,350 European-ancestry (EUR) MDD-RE probands (GenRED II) meeting identical criteria (including evidence of having an affected sibling) to create a total repository sample of 2,000 EUR MDD-RE cases, plus cell lines/DMA from available parents, unaffected sibs and male-male ASPs. (2) Initiate a repository-based collection of African-American (AA) MDD-RE probands meeting the same clinical criteria. We will collect 750 AA probands plus available parents and affected siblings, with involvement of young minority co-investigators; AA controls will be available from the repository. A site at Howard University has been added to lead this effort. AA recruitment will continue through Year 4 to build the repository sample. (3) Collect data on childhood abuse and neglect and parental loss, major environmental MOD risk factors; (4) Carry out linkage fine-mapping studies of chromosomes 17p, 1q, 5q, 6p-q, 8p and 18q to maximize evidence for linkage and to narrow candidate regions. (5) Carry out linkage disequilibrium (LD) mapping and intensive gene analysis studies in the 15q candidate region and one additional region in 2,000 EUR cases and 2,000 screened, ethnically-matched controls; and carry out LD fine-mapping studies in the most significant genes in 600 AA cases (the N available early in Year 4) and 1,000 controls, using high-throughput SNP genotyping methods, to identify a depression susceptibility gene. The proposed studies will contribute to the understanding of this devastating common disorder by identifying susceptibility genes, and by creating a public collection of biological materials and clinical data, as well as over 13 million SNP genotypes, to facilitate further investigation of recurrent MOD and related phenotypes.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH075131-03
Application #
7258926
Study Section
Special Emphasis Panel (ZRG1-GGG-H (90))
Program Officer
Lehner, Thomas
Project Start
2005-09-22
Project End
2009-06-30
Budget Start
2007-07-01
Budget End
2008-06-30
Support Year
3
Fiscal Year
2007
Total Cost
$252,596
Indirect Cost
Name
Howard University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
056282296
City
Washington
State
DC
Country
United States
Zip Code
20059
Power, Robert A; Tansey, Katherine E; Buttenschøn, Henriette Nørmølle et al. (2017) Genome-wide Association for Major Depression Through Age at Onset Stratification: Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium. Biol Psychiatry 81:325-335
Bigdeli, T B; Ripke, S; Peterson, R E et al. (2017) Genetic effects influencing risk for major depressive disorder in China and Europe. Transl Psychiatry 7:e1074
Mullins, N; Power, R A; Fisher, H L et al. (2016) Polygenic interactions with environmental adversity in the aetiology of major depressive disorder. Psychol Med 46:759-70
Peyrot, W J; Lee, S H; Milaneschi, Y et al. (2015) The association between lower educational attainment and depression owing to shared genetic effects? Results in ~25,000 subjects. Mol Psychiatry 20:735-43
Maier, Robert; Moser, Gerhard; Chen, Guo-Bo et al. (2015) Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder. Am J Hum Genet 96:283-94
Power, Robert A; Keller, Matthew C; Ripke, Stephan et al. (2014) A recessive genetic model and runs of homozygosity in major depressive disorder. Am J Med Genet B Neuropsychiatr Genet 165B:157-66
Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium; Ripke, Stephan; Wray, Naomi R et al. (2013) A mega-analysis of genome-wide association studies for major depressive disorder. Mol Psychiatry 18:497-511