NIDA Genetics Statistics

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. Information on ordering biomaterials can be found here.

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Results

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Disease Distribution(s): All

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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
Cannabis	`201`	`201 (100%)`	`0 ( 0%)`	`0 ( 0%)`	`0 ( 0%)`	`199 (99%)`
Cocaine Dependence	`2,443`	`1,568 (64%)`	`95 ( 4%)`	`1,155 (47%)`	`1,485 (61%)`	`133 ( 5%)`
Nicotine Dependence	`15,593`	`13,230 (85%)`	`2,467 (16%)`	`7,716 (49%)`	`12,636 (81%)`	`4,658 (30%)`
Opioid Dependence	`7,971`	`6,556 (82%)`	`2 ( 0%)`	`3,189 (40%)`	`4,240 (53%)`	`3,860 (48%)`
Opioid-Cocaine Dependence	`7,007`	`5,344 (76%)`	`0 ( 0%)`	`2,128 (30%)`	`4,922 (70%)`	`2,879 (41%)`
Polysubstance Dependence	`4,453`	`3,465 (78%)`	`3 ( 0%)`	`2,004 (45%)`	`3,365 (76%)`	`1,814 (41%)`
Total	`37,668`	`30,364 (81%)`	`2,567 ( 7%)`	`16,192 (43%)`	`26,648 (71%)`	`13,543 (36%)`

Demographics, DNA and Clinical Instruments

Item	Value
Subjects	`37,668`
With DNA	`30,364 (81%)`
Instrument: DSM-IV	`23,853 (63%)`
Instrument: DSM-III-R	`1,028 (3%)`
Instrument: Unknown	`12,787 (34%)`
Females / Males / Unknown	`17,737 (47%) / 19,880 (53%) / 51 (0%)`
Age	`Average: 39.9, Min: 11, Max: 111`

Self-Identified Race/Ethnicity

Race/Ethnicity	Subjects
White Non-Hispanic	`18,714 (50%)`
African-American	`11,192 (30%)`
Other	`3,353 ( 9%)`
White Hispanic	`2,097 ( 6%)`
Asian	`2,030 ( 5%)`
Missing	`234 ( 1%)`
American Indian	`45 ( 0%)`
Pacific Islander	`3 ( 0%)`

Cell Types

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

Cell Type	Subjects
LCL	`16,192 (43%)`
CPL	`26,648 (71%)`
LCL gDNA	`15,752 (42%)`
WB gDNA	`16,420 (44%)`
Plasma	`2,567 ( 7%)`
Whole Blood	`13,543 (36%)`

Diagnoses

Disease	Affected*	Unaffected	Other
Alcohol Dependence	`5,983 (16%)`	`14,326 (38%)`	`17,359 (46%)`
Cannabis Dependence	`4,512 (12%)`	`13,421 (36%)`	`19,735 (52%)`
Cocaine Dependence	`8,318 (22%)`	`15,135 (40%)`	`14,215 (38%)`
Nicotine Dependence	`9,146 (24%)`	`6,826 (18%)`	`21,696 (58%)`
Opioid Dependence	`8,304 (22%)`	`13,675 (36%)`	`15,689 (42%)`
Other Drug Dependence	`1,035 ( 3%)`	`14,410 (38%)`	`22,223 (59%)`
Sedative Dependence	`1,063 ( 3%)`	`12,189 (32%)`	`24,416 (65%)`
Stimulant Dependence	`1,454 ( 4%)`	`12,335 (33%)`	`23,879 (63%)`
Alcohol Abuse	`2,971 ( 8%)`	`9,019 (24%)`	`25,678 (68%)`
Cannabis Abuse	`2,130 ( 6%)`	`9,382 (25%)`	`26,156 (69%)`
Cocaine Abuse	`1,285 ( 3%)`	`10,335 (27%)`	`26,048 (69%)`
Opioid Abuse	`1,202 ( 3%)`	`10,912 (29%)`	`25,554 (68%)`
Other Drug Abuse	`460 ( 1%)`	`7,843 (21%)`	`29,365 (78%)`
Sedative Abuse	`324 ( 1%)`	`8,395 (22%)`	`28,949 (77%)`
Stimulant Abuse	`278 ( 1%)`	`8,848 (23%)`	`28,542 (76%)`

*The definition of affected depends on the study and is shown in the study breakdown below (unless hidden via the option above).

Breakdown by NIDA Studies

Cell type descriptions (LCLs, CPLs, etc) can be found here. The "Definition of Affected" refers to the primary phenotype of the study.

Cannabis Dependence

Study	Name	PI	Definition of Affected	N	With DNA	Plasma	LCLs	CPLs	Whole Blood
32	Achieving Cannabis Cessation-Evaluation of N-Acetylcysteine (ACCENT); CTN-0053	Kevin Gray	DSM Cannabis Dependence	`201`	`201 (100%)`	`0 ( 0%)`	`0 ( 0%)`	`0 ( 0%)`	`199 (99%)`
Total				`201`	`201 (100%)`	`0 ( 0%)`	`0 ( 0%)`	`0 ( 0%)`	`199 (99%)`

Cocaine Dependence

Study	Name	PI	Definition of Affected	N	With DNA	Plasma	LCLs	CPLs	Whole Blood
7	An Introduction to the Family Study of Cocaine	Laura Bierut	DSM Cocaine Dependence	`1,914`	`1,049 (55%)`	`95 ( 5%)`	`852 (45%)`	`990 (52%)`	`103 ( 5%)`
13	Genetics of Cocaine Induced Psychosis	Joseph F. Cubells	DSM Cocaine Dependence	`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	DSM Cocaine Dependence	`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%)`

Nicotine Dependence

Study	Name	PI	Definition of Affected	N	With DNA	Plasma	LCLs	CPLs	Whole Blood
NicSNP	The NicSNP Study	Laura Bierut	FTND >= 4	`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	DSM Nicotine Dependence or FTND>=4	`2,803`	`1,962 (70%)`	`0 ( 0%)`	`1,961 (70%)`	`1,837 (66%)`	`148 ( 5%)`
6	The Genetics of Vulnerability to Nicotine	Pamela Madden	DSM Nicotine Dependence or FTND>=4	`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	DSM Nicotine Dependence or FTND>=4 or 5 cigs/day for 5 years and current 6 months	`1,565`	`1,540 (98%)`	`0 ( 0%)`	`607 (39%)`	`1,502 (96%)`	`887 (57%)`
10	Pharmacokinetics of Nicotine in Twins	Gary Swan	DSM Nicotine Dependence or FTND>=4	`124`	`62 (50%)`	`0 ( 0%)`	`62 (50%)`	`60 (48%)`	`0 ( 0%)`
15	Nicotine Dependence	Laura Bierut	DSM Nicotine Dependence or FTND>=4	`2,146`	`1,813 (84%)`	`876 (41%)`	`854 (40%)`	`1,760 (82%)`	`1,131 (53%)`
16	Nicotine Dependence	Mark Leppert	DSM Nicotine Dependence or FTND>=4	`917`	`917 (100%)`	`2 ( 0%)`	`359 (39%)`	`821 (90%)`	`535 (58%)`
27	The Genetic Study of Nicotine Dependence in African Americans (AAND)	Laura Bierut	DSM Nicotine Dependence or FTND>=4	`1,792`	`1,792 (100%)`	`206 (11%)`	`194 (11%)`	`1,753 (98%)`	`1,134 (63%)`
35	Genetically Informative Smoking Cessation Trial	Li-Shiun Chen	Active smoking (Cigarettes Per Day [CPD] ≥5) and exhaled Carbon Monoxide [CO] ≥8 ppm	`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%)`

Opioid Dependence

Study	Name	PI	Definition of Affected	N	With DNA	Plasma	LCLs	CPLs	Whole Blood
3	Molecular Genetics of Heroin Dependence in China	Ming Tsuang	DSM Opioid Dependence	`1,929`	`1,232 (64%)`	`0 ( 0%)`	`1,097 (57%)`	`3 ( 0%)`	`222 (12%)`
5	Addictions, Genotypes, Polymorphisms, and Function	Mary Jeanne Kreek	DSM Opioid Dependence	`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	DSM Opioid Dependence	`1,405`	`693 (49%)`	`0 ( 0%)`	`598 (43%)`	`640 (46%)`	`116 ( 8%)`
17	Opioid Dependence	Wade Berrettini	DSM Opioid Dependence	`204`	`200 (98%)`	`0 ( 0%)`	`70 (34%)`	`191 (94%)`	`99 (49%)`
18	Opioid Dependence: Candidate Genes and G x E Effects	Elliot Nelson	DSM Opioid Dependence	`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	DSM Opioid Dependence	`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%)`

Opioid-Cocaine Dependence

Study	Name	PI	Definition of Affected	N	With DNA	Plasma	LCLs	CPLs	Whole Blood
1	Genetics of Opioid Dependence	Joel Gelernter	DSM Opioid or Cocaine Dependence	`6,511`	`4,848 (74%)`	`0 ( 0%)`	`2,118 (33%)`	`4,705 (72%)`	`2,785 (43%)`
20	Innovative Approaches for Cocaine Pharmacotherapy	Henry Kranzler	DSM Opioid or Cocaine Dependence	`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%)`

Polysubstance Dependence

Study	Name	PI	Definition of Affected	N	With DNA	Plasma	LCLs	CPLs	Whole Blood
11	Adolescent Drug Dependence	John Hewitt	DSM Opioid, Cocaine, Cannabis, Stimulant, Sedative, or other dependence	`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	DSM Opioid, Cocaine, Cannabis, Stimulant, Sedative, or other dependence	`600`	`470 (78%)`	`0 ( 0%)`	`406 (68%)`	`449 (75%)`	`0 ( 0%)`
19	Epidemiological Study of Substance Abuse	Rob Philibert	DSM Opioid, Cocaine, Cannabis, Stimulant, Sedative, or other dependence	`562`	`520 (93%)`	`1 ( 0%)`	`485 (86%)`	`510 (91%)`	`430 (77%)`
23	Substance Use Disorder Liability: Candidate Gene System	Michael M. Vanyukov	DSM Opioid, Cocaine, Cannabis, Stimulant, Sedative, or other dependence	`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