Opioid dependence (OD) is prevalent in the US and worldwide, and is highly destructive and costly to individuals and to society. It is also moderatel heritable. In prior iterations of this research program, we: 1) collected a sample of affected sibling pairs and carried out linkage analysis of OD and related traits and 2) collected a case-control sample and carried out numerous candidate gene investigations and a genomewide association study. Although we have identified chromosomal regions and specific risk alleles related to OD (both common and rare variants), our findings (and those of other investigators using similar approaches) have accounted for only a small part of OD heritability. Understanding the genetic risk of OD, like that of most complex traits, has proven refractory to the application of linkage and association techniques only. In this proposal, we describe a plan to identify additional OD risk factors. The clinical samples we have ascertained previously are distinguished by deep phenotypic characterization and high representation of African-Americans (AAs), who are underrepresented in GWAS, including substance dependence (SD) GWAS. We propose to identify rare (and possibly common) variants and structural (including copy number) variants by means of next generation sequencing of a set of these subjects: 3000 full exomes (2000 cases and 1000 controls, 1/3 of whom will be AA). Identified putative risk variants will be genotyped in our larger sample of >9500 subjects and evaluated for association to OD and other SD traits. We will follow up both our recent genomewide-significant GWAS results, and results identified by exome sequencing, with deep sequencing in the entire sample. Finally, all sequence data will be made publicly available. This project has the potential to identify the next significant pool of OD genetic risk variants, thus advancing the field, with resulting improved understanding of biology, and consequent applications to public health.

Public Health Relevance

Opioid dependence is a highly destructive form of substance dependence that is found in the US and many other places in the world. Risk for opioid dependence is influenced by genes. The main object of this study is to find genes that influence risk for opioid dependence by sequencing the entire exome (the part of the genome that is known to serve a coding function), in groups of people who are of European or African ancestry, with and without opioid dependence.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA012690-12
Application #
8735913
Study Section
Genetics of Health and Disease Study Section (GHD)
Program Officer
Caulder, Mark
Project Start
2000-08-05
Project End
2018-08-31
Budget Start
2014-09-01
Budget End
2015-08-31
Support Year
12
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Yale University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
City
New Haven
State
CT
Country
United States
Zip Code
06510
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
Hancock, D B; Guo, Y; Reginsson, G W et al. (2018) Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence. Mol Psychiatry 23:1-9
Cabana-Domínguez, Judit; Arenas, Concepció; Cormand, Bru et al. (2018) MiR-9, miR-153 and miR-124 are down-regulated by acute exposure to cocaine in a dopaminergic cell model and may contribute to cocaine dependence. Transl Psychiatry 8:173
Zhang, Huiping; Zhou, Hang; Lencz, Todd et al. (2018) Genome-wide association study of cognitive flexibility assessed by the Wisconsin Card Sorting Test. Am J Med Genet B Neuropsychiatr Genet 177:511-519
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

Showing the most recent 10 out of 211 publications