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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
Cocaine Dependence 3.0 2,443 1,568 (64%) 95 ( 4%) 1,155 (47%) 1,485 (61%) 133 ( 5%)
Total 2,443 1,568 (64%) 95 ( 4%) 1,155 (47%) 1,485 (61%) 133 ( 5%)

Demographics, DNA and Clinical Instruments

Item Value
Subjects 2,443
With DNA 1,568 (64%)
Instrument: DSM-IV 1,340 (55%)
Instrument: Unknown 1,103 (45%)
Females / Males / Unknown 1,163 (48%) / 1,280 (52%) / 0 (0%)
Age Average: 39.9, Min: 19, Max: 63
Race: White 1,017 (42%)
Race: African-American 1,341 (55%)
Race: American Indian 3 (0%)
Race: Asian 13 (1%)
Race: Missing 6 (0%)
Race: Hispanic 17 (1%)
Race: Other 46 (2%)

Cell Types

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

Cell Type Subjects
LCL 1,155 (47%)
CPL 1,485 (61%)
LCL gDNA 1,141 (47%)
WB gDNA 464 (19%)
Plasma 95 ( 4%)
Whole Blood 133 ( 5%)

Diagnoses

Disease Affected Unaffected Other
Opioid Dependence 469 (19%) 979 (40%) 995 (41%)
Cocaine Dependence 1,291 (53%) 298 (12%) 854 (35%)
Alcohol Dependence 801 (33%) 656 (27%) 986 (40%)
Nicotine Dependence 747 (31%) 514 (21%) 1,182 (48%)
Cannabis Dependence 505 (21%) 839 (34%) 1,099 (45%)
Stimulant Dependence 210 ( 9%) 943 (39%) 1,290 (53%)
Sedative Dependence 119 ( 5%) 1,053 (43%) 1,271 (52%)
Other Drug Dependence 207 ( 8%) 929 (38%) 1,307 (53%)
Opioid Abuse 73 ( 3%) 263 (11%) 2,107 (86%)
Cocaine Abuse 0 ( 0%) 250 (10%) 2,193 (90%)
Alcohol Abuse 118 ( 5%) 244 (10%) 2,081 (85%)
Cannabis Abuse 126 ( 5%) 259 (11%) 2,058 (84%)
Stimulant Abuse 17 ( 1%) 261 (11%) 2,165 (89%)
Sedative Abuse 35 ( 1%) 272 (11%) 2,136 (87%)
Other Drug Abuse 14 ( 1%) 253 (10%) 2,176 (89%)

Breakdown by NIDA Studies

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

Cocaine Dependence
Study Name PI Subjects With DNA Plasma LCLs CPLs Whole Blood
7 An Introduction to the Family Study of Cocaine Laura Bierut 1,914 1,049 (55%) 95 ( 5%) 852 (45%) 990 (52%) 103 ( 5%)
13 Genetics of Cocaine Induced Psychosis Joseph F. Cubells 249 241 (97%) 0 ( 0%) 239 (96%) 224 (90%) 1 ( 0%)
29 Genetics Protocol of the Cocaine Use Reduction with Buprenorphine (CURB) Study; CTN-0048 David A. Nielsen 280 278 (99%) 0 ( 0%) 64 (23%) 271 (97%) 29 (10%)
Total 2,443 1,568 (64%) 95 ( 4%) 1,155 (47%) 1,485 (61%) 133 ( 5%)

cell_file version: 2023-11-14 #2