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- Study Description
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Important Links and Information
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Request access via Authorized Access
- Instructions for requestors
- Data Use Certification (DUC) Agreement
- Talking Glossary of Genetic Terms
Genome wide analysis for addiction susceptibility genes is an affected sibling pair linkage study using subjects who were patients in methadone replacement treatment programs (MMTP). Such patients are highly addicted to opioids and usually to other addicting substances as well. For entry into the programs, patients had to be at least 18 years of age and had to satisfy DSM-IV criteria for opioid dependence. Despite their common substance use disorder diagnosis, patients enrolled in MMTPs generally have a heterogeneous mix of co-morbid psychiatric disorders including anti-social personality disorder, major depression and anxiety disorders, and often satisfy DSM-IV criteria of substance use disorders other than opioid dependence. Genetic analysis was carried out using genotyping data obtained from a 10K SNP array, and non-parametric linkage was assessed using MERLIN. This resulted in the identification of a linkage peak on 14q that overlapped the NRXN3 gene (neurexin 3), which was previously identified as a potential candidate gene for addiction, and subsequently identified as a target gene in other addiction studies and autism.
In version 2 of this study, a text file containing 7704 SNPs with large allele frequency discrepancy as compared to 1000 Genomes is included. Users have the option to exlude these 7704 SNPs.
- Study Design:
- Family/Twin/Trios
- Study Type:
- Affected Sib Pairs
- dbGaP estimated ancestry using GRAF-pop
- Total number of consented subjects: 1331
- Subject Sample Telemetry Report (SSTR)
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- Authorized Access
- Publicly Available Data (Public ftp)
- Study Inclusion/Exclusion Criteria
Probands were recruited from MMTP and were included if they met DSM-IV criteria for opioid dependence, had a sibling or half-sibling currently or previously enrolled in an MMTP, and were at least 18 years of age. Subjects were excluded if they were actively psychotic or could not understand the consent form.
- Molecular Data
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Type Source Platform Number of Oligos/SNPs SNP Batch Id Comment Targeted Genotyping BioRealm Smokescreen Genotyping Array N/A N/A Whole Genome Genotyping Affymetrix Human Mapping 10K 2.0 Array N/A N/A - Study History
The Smokescreen® Genotyping Array by BioRealm® contains ~300K SNP markers representing ~98% of common variants from 1000 candidate addiction genes and candidate genes for co-morbid psychiatric conditions.
- Selected Publications
- Diseases/Traits Related to Study (MeSH terms)
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- Primary Phenotype: Opioid-Related Disorders
- Substance-Related Disorders
- Links to Related Resources
- Authorized Data Access Requests
- Study Attribution
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Principal Investigator
- Herbert Lachman. Albert Einstein College of Medicine, New York, NY, USA.
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Funding Source
- DA12853. National Institute on Drug Addiction, National Institutes of Health, Bethesda, MD, USA.
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Principal Investigator