The Cannabis Dependence Genetics Initiative

This initative aims to gather data from Cannabis Dependence studies in Center and release the data in a series of distributions.

The following information is for Distribution 1.0. More detailed information can be found using the Statistics tool below, including customizable breakdowns by biomaterials, demographics and disease. The Other Queries button provides information on affected sibships with DNA, independent cases trios for association analysis.

Biomaterials, Clinical Instruments and Demographics

ItemValue
DistributionCannabis Dependence 1.0
Subjects201
With DNA201 (100%)
Instrument: DSM-IV201 (100%)
Females / Males / Unknown56 (28%) / 145 (72%) / 0 (0%)
AgeAverage: 31.0, Min: 18, Max: 50
Race: African-American53 (26%)
Race: Asian1 (0%)
Race: Hispanic3 (1%)
Race: Missing2 (1%)
Race: Others17 (8%)
Race: White123 (61%)
Race: American Indian2 (1%)

Subjects Having Various Cell Types

Cell type descriptions (LCLs, CPLs, etc) can be found here.

Cell TypeCount
LCL0
CPL0
LCL gDNA0
WB gDNA0
Plasma0
Whole Blood199 (99%)

Subjects with Disease Diagnoses

DiseaseAffectedUnaffectedOther
Cannabis Dependence201 (100%)0 (0%)0 (0%)
Cocaine Dependence0 (0%)12 (6%)189 (94%)
Opioid Dependence0 (0%)5 (2%)196 (98%)
Alcohol Dependence0 (0%)56 (28%)145 (72%)
Nicotine Dependence0 (0%)0 (0%)201 (100%)
Stimulant Dependence0 (0%)1 (0%)200 (100%)
Sedative Dependence0 (0%)3 (1%)198 (99%)
Other Drug Dependence0 (0%)7 (3%)194 (97%)
Opioid Abuse3 (1%)0 (0%)198 (99%)
Cocaine Abuse8 (4%)0 (0%)193 (96%)
Alcohol Abuse43 (21%)0 (0%)158 (79%)
Cannabis Abuse191 (95%)0 (0%)10 (5%)
Stimulant Abuse1 (0%)0 (0%)200 (100%)
Sedative Abuse5 (2%)0 (0%)196 (98%)
Other Drug Abuse8 (47%)0 (0%)193 (96%)

Citing this Dataset

If you use this dataset in your research, please cite the overall Center as “National Institute on Drug Abuse Center for Genetic Studies (RRID:SCR_013061)”.

Contributing PI(s)

Kevin Gray