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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
Opioid-Cocaine Dependence 2.1 7,007 5,344 (76%) 0 ( 0%) 2,128 (30%) 4,922 (70%) 2,879 (41%)
Total 7,007 5,344 (76%) 0 ( 0%) 2,128 (30%) 4,922 (70%) 2,879 (41%)

Demographics, DNA and Clinical Instruments

Item Value
Subjects 7,007
With DNA 5,344 (76%)
Instrument: DSM-IV 5,254 (75%)
Instrument: Unknown 1,753 (25%)
Females / Males / Unknown 2,958 (42%) / 4,028 (57%) / 21 (0%)
Age Average: 40.0, Min: 17, Max: 79
Race: African-American 3,137 (45%)
Race: White 2,410 (34%)
Race: Hispanic 391 (6%)
Race: American Indian 26 (0%)
Race: Pac Islander 3 (0%)
Race: Asian 5 (0%)
Race: Missing 1 (0%)
Race: Other 1,034 (15%)

Cell Types

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

Cell Type Subjects
LCL 2,128 (30%)
CPL 4,922 (70%)
LCL gDNA 2,064 (29%)
WB gDNA 3,062 (44%)
Plasma 0 ( 0%)
Whole Blood 2,879 (41%)

Diagnoses

Disease Affected Unaffected Other
Opioid Dependence 2,749 (39%) 2,129 (30%) 2,129 (30%)
Cocaine Dependence 4,527 (65%) 582 ( 8%) 1,898 (27%)
Alcohol Dependence 1,024 (15%) 642 ( 9%) 5,341 (76%)
Nicotine Dependence 1,271 (18%) 634 ( 9%) 5,102 (73%)
Cannabis Dependence 569 ( 8%) 1,122 (16%) 5,316 (76%)
Stimulant Dependence 131 ( 2%) 1,734 (25%) 5,142 (73%)
Sedative Dependence 141 ( 2%) 1,707 (24%) 5,159 (74%)
Other Drug Dependence 329 ( 5%) 1,497 (21%) 5,181 (74%)
Opioid Abuse 119 ( 2%) 2,129 (30%) 4,759 (68%)
Cocaine Abuse 146 ( 2%) 582 ( 8%) 6,279 (90%)
Alcohol Abuse 447 ( 6%) 632 ( 9%) 5,928 (85%)
Cannabis Abuse 351 ( 5%) 1,112 (16%) 5,544 (79%)
Stimulant Abuse 70 ( 1%) 1,734 (25%) 5,203 (74%)
Sedative Abuse 82 ( 1%) 1,708 (24%) 5,217 (74%)
Other Drug Abuse 93 ( 1%) 1,497 (21%) 5,417 (77%)

Breakdown by NIDA Studies

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

Opioid-Cocaine Dependence
Study Name PI Subjects With DNA Plasma LCLs CPLs Whole Blood
1 Genetics of Opioid Dependence Joel Gelernter 6,511 4,848 (74%) 0 ( 0%) 2,118 (33%) 4,705 (72%) 2,785 (43%)
20 Innovative Approaches for Cocaine Pharmacotherapy Henry Kranzler 496 496 (100%) 0 ( 0%) 10 ( 2%) 217 (44%) 94 (19%)
Total 7,007 5,344 (76%) 0 ( 0%) 2,128 (30%) 4,922 (70%) 2,879 (41%)

cell_file version: 2023-11-14 #2