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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
Nicotine Dependence 11.0 15,593 13,230 (85%) 2,467 (16%) 7,716 (49%) 12,636 (81%) 4,658 (30%)
Total 15,593 13,230 (85%) 2,467 (16%) 7,716 (49%) 12,636 (81%) 4,658 (30%)

Demographics, DNA and Clinical Instruments

Item Value
Subjects 15,593
With DNA 13,230 (85%)
Instrument: DSM-IV 8,691 (56%)
Instrument: DSM-III-R 115 (1%)
Instrument: Unknown 6,787 (44%)
Females / Males / Unknown 8,636 (55%) / 6,929 (44%) / 28 (0%)
Age Average: 43.1, Min: 12, Max: 88
Race: African-American 5,085 (33%)
Race: White 9,891 (63%)
Race: Hispanic 91 (1%)
Race: Asian 50 (0%)
Race: American Indian 6 (0%)
Race: Missing 17 (0%)
Race: Other 453 (3%)

Cell Types

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

Cell Type Subjects
LCL 7,716 (49%)
CPL 12,636 (81%)
LCL gDNA 7,493 (48%)
WB gDNA 6,881 (44%)
Plasma 2,467 (16%)
Whole Blood 4,658 (30%)

Diagnoses

Disease Affected Unaffected Other
Opioid Dependence 120 ( 1%) 6,835 (44%) 8,638 (55%)
Cocaine Dependence 436 ( 3%) 8,302 (53%) 6,855 (44%)
Alcohol Dependence 1,592 (10%) 6,815 (44%) 7,186 (46%)
Nicotine Dependence 5,280 (34%) 3,441 (22%) 6,872 (44%)
Cannabis Dependence 858 ( 6%) 7,773 (50%) 6,962 (45%)
Stimulant Dependence 75 ( 0%) 3,501 (22%) 12,017 (77%)
Sedative Dependence 32 ( 0%) 3,544 (23%) 12,017 (77%)
Other Drug Dependence 244 ( 2%) 8,484 (54%) 6,865 (44%)
Opioid Abuse 29 ( 0%) 3,546 (23%) 12,018 (77%)
Cocaine Abuse 58 ( 0%) 3,517 (23%) 12,018 (77%)
Alcohol Abuse 535 ( 3%) 2,311 (15%) 12,747 (82%)
Cannabis Abuse 308 ( 2%) 3,269 (21%) 12,016 (77%)
Stimulant Abuse 51 ( 0%) 3,525 (23%) 12,017 (77%)
Sedative Abuse 33 ( 0%) 3,543 (23%) 12,017 (77%)
Other Drug Abuse 129 ( 1%) 3,447 (22%) 12,017 (77%)

Breakdown by NIDA Studies

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

Nicotine Dependence
Study Name PI Subjects With DNA Plasma LCLs CPLs Whole Blood
NicSNP The NicSNP Study Laura Bierut 1,927 1,927 (100%) 515 (27%) 1,340 (70%) 1,878 (97%) 772 (40%)
2 Mapping Susceptibility Genes for Nicotine Dependence Ming D. Li 2,803 1,962 (70%) 0 ( 0%) 1,961 (70%) 1,837 (66%) 148 ( 5%)
6 The Genetics of Vulnerability to Nicotine Pamela Madden 3,446 2,344 (68%) 0 ( 0%) 2,330 (68%) 2,156 (63%) 30 ( 1%)
9 Differentiation of Phenotypes for Smoking: Administrative Supplement to Join NIDA Genetics Consortium Ovide Pomerleau 1,565 1,540 (98%) 0 ( 0%) 607 (39%) 1,502 (96%) 887 (57%)
10 Pharmacokinetics of Nicotine in Twins Gary Swan 124 62 (50%) 0 ( 0%) 62 (50%) 60 (48%) 0 ( 0%)
15 Nicotine Dependence Laura Bierut 2,146 1,813 (84%) 876 (41%) 854 (40%) 1,760 (82%) 1,131 (53%)
16 Nicotine Dependence Mark Leppert 917 917 (100%) 2 ( 0%) 359 (39%) 821 (90%) 535 (58%)
27 The Genetic Study of Nicotine Dependence in African Americans (AAND) Laura Bierut 1,792 1,792 (100%) 206 (11%) 194 (11%) 1,753 (98%) 1,134 (63%)
35 Genetically Informative Smoking Cessation Trial Li-Shiun Chen 873 873 (100%) 868 (99%) 9 ( 1%) 869 (100%) 21 ( 2%)
Total 15,593 13,230 (85%) 2,467 (16%) 7,716 (49%) 12,636 (81%) 4,658 (30%)

cell_file version: 2023-11-14 #2