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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Cell type descriptions (LCLs, CPLs, etc) can be found here.
| Distribution | Subjects | With DNA | Plasma | LCLs | CPLs | Whole Blood |
|---|---|---|---|---|---|---|
| Opioid Dependence 5.7 | 7,971 |
6,556 (82%) |
2 ( 0%) |
3,189 (40%) |
4,240 (53%) |
3,860 (48%) |
| Total | 7,971 |
6,556 (82%) |
2 ( 0%) |
3,189 (40%) |
4,240 (53%) |
3,860 (48%) |
| Item | Value |
|---|---|
| Subjects | 7,971 |
| With DNA | 6,556 (82%) |
| 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 |
| Race: White | 2,621 (33%) |
| Race: Hispanic | 1,321 (17%) |
| Race: African-American | 1,054 (13%) |
| Race: Asian | 1,956 (25%) |
| Race: American Indian | 6 (0%) |
| Race: Missing | 208 (3%) |
| Race: Other | 805 (10%) |
Cell type descriptions (LCLs, CPLs, etc) can be found here.
| Cell Type | Subjects |
|---|---|
| LCL | 3,189 (40%) |
| CPL | 4,240 (53%) |
| LCL gDNA | 3,127 (39%) |
| WB gDNA | 4,055 (51%) |
| Plasma | 2 ( 0%) |
| Whole Blood | 3,860 (48%) |
| Disease | Affected | Unaffected | Other |
|---|---|---|---|
| Opioid Dependence | 4,790 (60%) |
1,385 (17%) |
1,796 (23%) |
| Cocaine Dependence | 1,780 (22%) |
3,175 (40%) |
3,016 (38%) |
| Alcohol Dependence | 1,565 (20%) |
4,240 (53%) |
2,166 (27%) |
| Nicotine Dependence | 1,102 (14%) |
764 (10%) |
6,105 (77%) |
| Cannabis Dependence | 1,336 (17%) |
1,856 (23%) |
4,779 (60%) |
| Stimulant Dependence | 824 (10%) |
3,318 (42%) |
3,829 (48%) |
| Sedative Dependence | 720 ( 9%) |
3,405 (43%) |
3,846 (48%) |
| Other Drug Dependence | 95 ( 1%) |
548 ( 7%) |
7,328 (92%) |
| Opioid Abuse | 906 (11%) |
3,392 (43%) |
3,673 (46%) |
| Cocaine Abuse | 981 (12%) |
3,947 (50%) |
3,043 (38%) |
| Alcohol Abuse | 1,223 (15%) |
4,680 (59%) |
2,068 (26%) |
| Cannabis Abuse | 686 ( 9%) |
3,469 (44%) |
3,816 (48%) |
| Stimulant Abuse | 66 ( 1%) |
1,325 (17%) |
6,580 (83%) |
| Sedative Abuse | 125 ( 2%) |
1,257 (16%) |
6,589 (83%) |
| Other Drug Abuse | 66 ( 1%) |
577 ( 7%) |
7,328 (92%) |
Cell type descriptions (LCLs, CPLs, etc) can be found here.
| Study | Name | PI | Subjects | With DNA | Plasma | LCLs | CPLs | Whole Blood |
|---|---|---|---|---|---|---|---|---|
| 3 | Molecular Genetics of Heroin Dependence in China | Ming Tsuang | 1,929 |
1,232 (64%) |
0 ( 0%) |
1,097 (57%) |
3 ( 0%) |
222 (12%) |
| 5 | Addictions, Genotypes, Polymorphisms, and Function | Mary Jeanne Kreek | 1,751 |
1,751 (100%) |
2 ( 0%) |
768 (44%) |
1,708 (98%) |
1,012 (58%) |
| 14 | Genome-Wide Analysis for Addiction Susceptibility Genes | Herb Lachman | 1,405 |
693 (49%) |
0 ( 0%) |
598 (43%) |
640 (46%) |
116 ( 8%) |
| 17 | Opioid Dependence | Wade Berrettini | 204 |
200 (98%) |
0 ( 0%) |
70 (34%) |
191 (94%) |
99 (49%) |
| 18 | Opioid Dependence: Candidate Genes and G x E Effects | Elliot Nelson | 1,896 |
1,895 (100%) |
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 | 786 |
785 (100%) |
0 ( 0%) |
156 (20%) |
744 (95%) |
784 (100%) |
| Total | 7,971 |
6,556 (82%) |
2 ( 0%) |
3,189 (40%) |
4,240 (53%) |
3,860 (48%) |
cell_file version: 2023-11-14 #2