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Summary Statistics

You can filter the data below or go straight to the results. Descriptions of the various cell types we distribute, such as CPLs and LCLs, can be found here. Information on ordering biomaterials can be found here.

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Disease Distributions

Subjects are grouped into distributions according to the way they were ascertained for their respective studies. This should not be confused with clinical diagnoses. Subjects in the Nicotine Dependence distribution, for example, may or may not be diagnosed with Nicotine Dependence. By default, all distributions are used.

Clinical Diagnoses

The definition of "Affected" depends on the study. The definition for the primary phenotype of each study is shown in the study breakdown section below unless hidden via the option above.

Dependence

Alcohol Dependence:

Cannabis Dependence:

Cocaine Dependence:

Nicotine Dependence:

Opioid Dependence:

Sedative Dependence:

Stimulant Dependence:

Other Dependence:

Abuse

Alcohol Abuse:

Cannabis Abuse:

Cocaine Abuse:

Opioid Abuse:

Sedative Abuse:

Stimulant Abuse:

Other Abuse:

Substance Use Disorders

Opioid Use Disorder:

Cocaine Use Disorder:

Alcohol Use Disorder:

Nicotine Use Disorder:

Cannabis Use Disorder:

Stimulant Use Disorder:

Sedative Use Disorder:

Other Use Disorder:

Multiple Diagnosis Logic*: OR AND

*Example: when OR is selected, if you select both Nicotine and Alcohol dependence you get statistics for the combined set Nicotine-dependent subjects and Alcohol-dependent subjects. When AND is selected, you get statistics for subjects that are both Nicotine-dependent and Alcohol-dependent.

Demographics, Biomaterials and Clinical Instruments

Sex:

Age:Between and

Self-Identified Race/Ethnicity:

Has DNA:

Cell Types:

Min Vials:

Cell Types Logic: OR AND

Cell type descriptions can be found here. Note that CPLs are ideal for making iPSCs.

Clinical Instrument(s):

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Results

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Breakdown by Disease Distribution

Cell type descriptions can be found here. Note that CPLs are ideal for making iPSCs.

Distribution Subjects DNA Available* Plasma LCLs CPLs** Whole Blood
Opioid Dependence 7,971 6,410 (80%) 2 ( 0%) 3,189 (40%) 4,239 (53%) 3,845 (48%)
Total 7,971 6,410 (80%) 2 ( 0%) 3,189 (40%) 4,239 (53%) 3,845 (48%)

*DNA Available refers to subjects for which DNA is available from at least one of LCLs, CPLs or Whole Blood.

**Note that CPLs are ideal for making iPSCs.

Demographics, DNA and Clinical Instruments

Item Value
Subjects 7,971
DNA Available 6,410 (80%)
Instrument: DSM-IV 6,153 (77%)
Instrument: DSM-III-R 22 (0%)
Instrument: Unknown 1,796 (23%)
Females / Males / Unknown 3,034 (38%) / 4,935 (62%) / 2 (0%)
Age Average: 38.7, Min: 17, Max: 111

Self-Identified Race/Ethnicity

Race/Ethnicity Subjects
White Non-Hispanic 2,621 (33%)
Asian 1,956 (25%)
White Hispanic 1,321 (17%)
African-American 1,054 (13%)
Other 805 (10%)
Missing 208 ( 3%)
American Indian 6 ( 0%)

Cell Types

Cell type descriptions can be found here. Note that CPLs are ideal for making iPSCs.

Cell Type Subjects Subjects with 2+ Vials 5+ Vials 10+ Vials
LCL 3,189 (40%) 3,188 (40%) 3,181 (40%) 1,754 (22%)
CPL 4,239 (53%) 3,554 (45%) 0 ( 0%) 0 ( 0%)
LCL gDNA 3,127 (39%) 3,094 (39%) 1,399 (18%) 8 ( 0%)
WB gDNA 4,054 (51%) 1,933 (24%) 0 ( 0%) 0 ( 0%)
Plasma 2 ( 0%) 2 ( 0%) 2 ( 0%) 0 ( 0%)
Whole Blood 3,845 (48%) 243 ( 3%) 1 ( 0%) 0 ( 0%)

Diagnoses

Disease Affected* Unaffected Other
Alcohol Dependence 1,565 (20%) 4,240 (53%) 2,166 (27%)
Cannabis Dependence 1,336 (17%) 1,856 (23%) 4,779 (60%)
Cocaine Dependence 1,780 (22%) 3,175 (40%) 3,016 (38%)
Nicotine Dependence 1,102 (14%) 764 (10%) 6,105 (77%)
Opioid Dependence 4,790 (60%) 1,385 (17%) 1,796 (23%)
Other Drug Dependence 95 ( 1%) 548 ( 7%) 7,328 (92%)
Sedative Dependence 720 ( 9%) 3,405 (43%) 3,846 (48%)
Stimulant Dependence 824 (10%) 3,318 (42%) 3,829 (48%)
Alcohol Abuse 1,223 (15%) 4,680 (59%) 2,068 (26%)
Cannabis Abuse 686 ( 9%) 3,469 (44%) 3,816 (48%)
Cocaine Abuse 981 (12%) 3,947 (50%) 3,043 (38%)
Opioid Abuse 906 (11%) 3,392 (43%) 3,673 (46%)
Other Drug Abuse 66 ( 1%) 577 ( 7%) 7,328 (92%)
Sedative Abuse 125 ( 2%) 1,257 (16%) 6,589 (83%)
Stimulant Abuse 66 ( 1%) 1,325 (17%) 6,580 (83%)
Alcohol Use Disorder 0 ( 0%) 0 ( 0%) 7,971 (100%)
Cannabis Use Disorder 0 ( 0%) 0 ( 0%) 7,971 (100%)
Cocaine Use Disorder 0 ( 0%) 0 ( 0%) 7,971 (100%)
Nicotine Use Disorder 0 ( 0%) 0 ( 0%) 7,971 (100%)
Opioid Use Disorder 0 ( 0%) 0 ( 0%) 7,971 (100%)
Other Use Disorder 0 ( 0%) 0 ( 0%) 7,971 (100%)
Sedative Use Disorder 0 ( 0%) 0 ( 0%) 7,971 (100%)
Stimulant Use Disorder 0 ( 0%) 0 ( 0%) 7,971 (100%)

*The definition of affected depends on the study and is shown in the study breakdown below (unless hidden via the option above).

Breakdown by NIDA Studies

Cell type descriptions can be found here. Note that CPLs are ideal for making iPSCs.

Opioid Dependence
Study Name PI Definition of Affected N DNA Available* Plasma LCLs CPLs** Whole Blood
3 Molecular Genetics of Heroin Dependence in China Ming Tsuang DSM Opioid Dependence 1,929 1,099 (57%) 0 ( 0%) 1,097 (57%) 3 ( 0%) 222 (12%)
5 Addictions, Genotypes, Polymorphisms, and Function Mary Jeanne Kreek DSM Opioid Dependence 1,751 1,751 (100%) 2 ( 0%) 768 (44%) 1,707 (97%) 997 (57%)
14 Genome-Wide Analysis for Addiction Susceptibility Genes Herb Lachman DSM Opioid Dependence 1,405 693 (49%) 0 ( 0%) 598 (43%) 640 (46%) 116 ( 8%)
17 Opioid Dependence Wade Berrettini DSM Opioid Dependence 204 200 (98%) 0 ( 0%) 70 (34%) 191 (94%) 99 (49%)
18 Opioid Dependence: Candidate Genes and G x E Effects Elliot Nelson DSM Opioid Dependence 1,896 1,882 (99%) 0 ( 0%) 500 (26%) 954 (50%) 1,627 (86%)
24 START Pharmacogenetics: Exploratory Genetic Studies in Starting Treatment with Agonist Replacement Therapies (START) Wade Berrettini DSM Opioid Dependence 786 785 (100%) 0 ( 0%) 156 (20%) 744 (95%) 784 (100%)
Total 7,971 6,410 (80%) 2 ( 0%) 3,189 (40%) 4,239 (53%) 3,845 (48%)

*DNA Available refers to subjects for which DNA is available from at least one of LCLs, CPLs or Whole Blood.

**Note that CPLs are ideal for making iPSCs.

cell_file version: 2024-09-10-11-54