ID
45712
Description
Principal Investigator: Ming Tsuang MD, PhD, DSc, University of California, San Diego, CA, USA MeSH: Drug Dependence https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001213 Our principal goal was to determine the chromosomal locations of genetic variations associated with increased vulnerability to heroin dependence. This goal was attained by identifying specific DNA markers that are genetically linked to heroin dependence. We collected blood and diagnostic information (using a structured diagnostic interview) from 1230 people (sib-pairs) having DSM-IV defined heroin dependence as well as from their parents and other affected and unaffected siblings, when possible. Genotype and clinical data was archived using database software. We conducted a multipoint linkage analysis using the guidelines of Lander and Kruglyak to assert statistical significance, and followed up on regions of interest with a dense set of markers to evaluate candidate genes.
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Keywords
Versions (1)
- 5/17/23 5/17/23 - Chiara Middel
Copyright Holder
Ming Tsuang MD, PhD, DSc, University of California, San Diego, CA, USA
Uploaded on
May 17, 2023
DOI
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License
Creative Commons BY 4.0
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dbGaP phs001213 Molecular Genetics of Heroin Dependence in China
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs, consent information, subject aliases, and case control status of the subject for heroin dependence.
- The subject pedigree table contains family ID, subject ID, mother ID, father ID, sex, and twin ID.
- This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample aliases.
- This subject phenotype table contains study number, subject IDs, year of birth, gender, family race, diagnostic system, twin status, death status, drug dependence (n=8 variables; opioid, cocaine, alcohol, nicotine, cannabis, stimulant, sedative, and other drug), drug abuse (n=7 variables; opioid, cocaine, alcohol, cannabis, stimulant, sedative, and other), and family ID, mother ID, father ID and sex in RUCDR pre-QC plink file.
- This sample attributes table contains sample IDs, body site where sample was collected, and analyte type.
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs, consent information, subject aliases, and case control status of the subject for heroin dependence.
- The subject pedigree table contains family ID, subject ID, mother ID, father ID, sex, and twin ID.
- This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample aliases.
- This subject phenotype table contains study number, subject IDs, year of birth, gender, family race, diagnostic system, twin status, death status, drug dependence (n=8 variables; opioid, cocaine, alcohol, nicotine, cannabis, stimulant, sedative, and other drug), drug abuse (n=7 variables; opioid, cocaine, alcohol, cannabis, stimulant, sedative, and other), and family ID, mother ID, father ID and sex in RUCDR pre-QC plink file.
- This sample attributes table contains sample IDs, body site where sample was collected, and analyte type.
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