This is a revised proposal to study the genetics of opioid dependence using linkage analysis of a collection of 460 small nuclear families, each including an affected sibling pair. The clinical work would take place at four university-based programs in Southern New England, and the laboratory and statistical work at Yale and Boston Universities, respectively. The objective of this revised proposal remains an attempt to identify chromosomal regions containing genes predisposing to opioid dependence (OD).
The aims of the plan are to collect a set of 460 small nuclear families, primarily affected sibling pairs, and (when possible) additional siblings and parents; complete a 10 cM genome-wide scan using 400 equally spaced STR markers; use affected sib-pair (ASP) and transmission-disequilibrium test (TDT) approaches to analyze the marker data for linkage to OD; and use an additional marker set for fine mapping (approximately 2 cM) of promising genomic regions. A secondary analysis would assess the impact of comorbid disorders and personality dimensions in further refining the OD phenotype in establishing the genetics of OD. Proband affection would be defined as opioid dependence without antisocial personality disorder (ASPD) according to DSM-IV diagnostic criteria as ascertained using the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA). The principal method of linkage analysis will be sibling pair linkage. Animal and human adoption, twin and family studies support the contention that the particular phenotype chosen for study is genetically influenced to an extent that the investigators can reasonably expect to be able to map related genes. Exclusion of subjects with comorbid ASPD would allow for a more genetically homogeneous clinical sample and aid this effort. The clinical diagnostic data and DNA collected as part of the proposed study would be shared with other investigators to support future mapping efforts in psychiatric and addictive disorder genetics. The proposed revised project represents the first large-scale linkage study of drug dependence. Successful completion of the proposed project would provide information that would, eventually, advance an understanding of the mechanisms of opioid dependence, and possibly lead to new ways to treat this pervasive and costly societal problem.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA012690-04
Application #
6612530
Study Section
Special Emphasis Panel (ZRG1-BDCN-6 (01))
Program Officer
Gordon, Harold
Project Start
2000-08-05
Project End
2005-07-31
Budget Start
2003-08-01
Budget End
2004-07-31
Support Year
4
Fiscal Year
2003
Total Cost
$927,064
Indirect Cost
Name
Yale University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
Smith, Andrew H; Ovesen, Peter L; Skeldal, Sune et al. (2018) Risk Locus Identification Ties Alcohol Withdrawal Symptoms to SORCS2. Alcohol Clin Exp Res 42:2337-2348
Polimanti, Renato; Kayser, Manfred H; Gelernter, Joel (2018) Local adaptation in European populations affected the genetics of psychiatric disorders and behavioral traits. Genome Med 10:24
Polimanti, R; Kaufman, J; Zhao, H et al. (2018) A genome-wide gene-by-trauma interaction study of alcohol misuse in two independent cohorts identifies PRKG1 as a risk locus. Mol Psychiatry 23:154-160
Polimanti, R; Kaufman, J; Zhao, H et al. (2018) Trauma exposure interacts with the genetic risk of bipolar disorder in alcohol misuse of US soldiers. Acta Psychiatr Scand 137:148-156
Polimanti, Renato; Gelernter, Joel; Stein, Dan J (2018) Genetically determined schizophrenia is not associated with impaired glucose homeostasis. Schizophr Res 195:286-289
Agrawal, A; Chou, Y-L; Carey, C E et al. (2018) Genome-wide association study identifies a novel locus for cannabis dependence. Mol Psychiatry 23:1293-1302
Polimanti, Renato; Gelernter, Joel (2018) ADH1B: From alcoholism, natural selection, and cancer to the human phenome. Am J Med Genet B Neuropsychiatr Genet 177:113-125
Zhou, Hang; Cheng, Zhongshan; Bass, Nicholas et al. (2018) Genome-wide association study identifies glutamate ionotropic receptor GRIA4 as a risk gene for comorbid nicotine dependence and major depression. Transl Psychiatry 8:208
Montalvo-Ortiz, Janitza L; Zhou, Hang; D'Andrea, Ivana et al. (2018) Translational studies support a role for serotonin 2B receptor (HTR2B) gene in aggression-related cannabis response. Mol Psychiatry 23:2277-2286
Cheng, Zhongshan; Zhou, Hang; Sherva, Richard et al. (2018) Genome-wide Association Study Identifies a Regulatory Variant of RGMA Associated With Opioid Dependence in European Americans. Biol Psychiatry 84:762-770

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