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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. Note that CPLs are ideal for creating iPSCs. 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.

Demographics, Biomaterials and Clinical Instruments

Sex:

Age:Between and

Race(s):

Has DNA:

Cell Types:

Cell Types Logic: OR AND

Cell type descriptions can be found here.

Clinical Instrument(s):

Clinical Diagnoses

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.

Opioid Dependence:

Cocaine Dependence:

Alcohol Dependence:

Nicotine Dependence:

Cannabis Dependence:

Stimulant Dependence:

Sedative Dependence:

Other Dependence:

Opioid Abuse:

Cocaine Abuse:

Alcohol Abuse:

Cannabis Abuse:

Stimulant Abuse:

Sedative Abuse:

Other Abuse:

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Results

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Breakdown by Disease Distribution

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

Distribution Subjects With DNA Plasma LCLs CPLs Whole Blood
Polysubstance Dependence 4.0 4,453 3,465 (78%) 3 ( 0%) 2,004 (45%) 3,365 (76%) 1,814 (41%)
Total 4,453 3,465 (78%) 3 ( 0%) 2,004 (45%) 3,365 (76%) 1,814 (41%)

Demographics, DNA and Clinical Instruments

Item Value
Subjects 4,453
With DNA 3,465 (78%)
Instrument: DSM-IV 2,214 (50%)
Instrument: DSM-III-R 891 (20%)
Instrument: Unknown 1,348 (30%)
Females / Males / Unknown 1,890 (42%) / 2,563 (58%) / 0 (0%)
Age Average: 28.4, Min: 11, Max: 72
Race: White 2,652 (60%)
Race: African-American 522 (12%)
Race: Hispanic 274 (6%)
Race: Asian 5 (0%)
Race: American Indian 2 (0%)
Race: Other 998 (22%)

Cell Types

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

Cell Type Subjects
LCL 2,004 (45%)
CPL 3,365 (76%)
LCL gDNA 1,927 (43%)
WB gDNA 1,958 (44%)
Plasma 3 ( 0%)
Whole Blood 1,814 (41%)

Diagnoses

Disease Affected Unaffected Other
Opioid Dependence 176 ( 4%) 2,342 (53%) 1,935 (43%)
Cocaine Dependence 284 ( 6%) 2,766 (62%) 1,403 (32%)
Alcohol Dependence 1,001 (22%) 1,917 (43%) 1,535 (34%)
Nicotine Dependence 746 (17%) 1,473 (33%) 2,234 (50%)
Cannabis Dependence 1,043 (23%) 1,831 (41%) 1,579 (35%)
Stimulant Dependence 214 ( 5%) 2,838 (64%) 1,401 (31%)
Sedative Dependence 51 ( 1%) 2,477 (56%) 1,925 (43%)
Other Drug Dependence 160 ( 4%) 2,945 (66%) 1,348 (30%)
Opioid Abuse 72 ( 2%) 1,582 (36%) 2,799 (63%)
Cocaine Abuse 92 ( 2%) 2,039 (46%) 2,322 (52%)
Alcohol Abuse 605 (14%) 1,152 (26%) 2,696 (61%)
Cannabis Abuse 468 (11%) 1,273 (29%) 2,712 (61%)
Stimulant Abuse 73 ( 2%) 2,003 (45%) 2,377 (53%)
Sedative Abuse 44 ( 1%) 1,615 (36%) 2,794 (63%)
Other Drug Abuse 150 ( 3%) 2,069 (46%) 2,234 (50%)

Breakdown by NIDA Studies

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

Polysubstance Dependence
Study Name PI Subjects With DNA Plasma LCLs CPLs Whole Blood
11 Adolescent Drug Dependence John Hewitt 2,403 1,589 (66%) 1 ( 0%) 1,084 (45%) 1,521 (63%) 502 (21%)
12 Substance Abuse and the Dopamine System Genes Michael M. Yanyukov 600 470 (78%) 0 ( 0%) 406 (68%) 449 (75%) 0 ( 0%)
19 Epidemiological Study of Substance Abuse Rob Philibert 562 520 (93%) 1 ( 0%) 485 (86%) 510 (91%) 430 (77%)
23 Substance Use Disorder Liability: Candidate Gene System Michael M. Vanyukov 888 886 (100%) 1 ( 0%) 29 ( 3%) 885 (100%) 882 (99%)
Total 4,453 3,465 (78%) 3 ( 0%) 2,004 (45%) 3,365 (76%) 1,814 (41%)

cell_file version: 2023-11-14 #2