ID
45775
Description
Principal Investigator: Mary Jeanne Kreek, MD, The Rockefeller University, New York, NY, USA MeSH: Substance-Related Disorders https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001109 Drug addiction continues to be a major medical and social problem. It is estimated that one million or more persons in the United States are currently addicted to heroin or prescription opioids, with millions more worldwide. Cocaine addiction and alcohol dependence are frequent comorbid conditions in persons with heroin/opioid dependence in addition to being major primary addictions. Many studies over the past thirty years have shown that these drugs disrupt physiologic systems, and that these disruptions may contribute to drug addiction and alcohol dependence and to relapse to drug or alcohol abuse following withdrawal and abstinence. Clinical observations suggest that individuals differ in their response to heroin, cocaine, and alcohol; however, little is known about specific underlying hereditary genetic factors which might influence individual susceptibility to the addictive properties of these substances. Studies also suggest that both common and distinct heritable factors account for the genetic variance in the susceptibility to the separate addictive diseases. We hypothesize that there is a heritable as well as environmental basis for the acquisition and persistence of, and relapse to, specific addictive diseases. Using samples from individuals without and with opioid and other specific drug dependence diagnoses and psychiatric comorbidities, genetic analyses will be used to determine association and linkage. All study subjects will be extensively characterized with respect to the addictive diseases, medical history, family medical addictive disease history; psychiatric comorbidity, and psychological profile, as well as ethnic/cultural background. A better understanding of the consequences of genetic contributions with respect to protection from, or susceptibility to, heroin/opioid addiction and related codependencies and comorbid conditions, could have enormous importance in both prevention and treatment of this problem.
Lien
Mots-clés
Versions (1)
- 20/06/2023 20/06/2023 - Chiara Middel
Détendeur de droits
Mary Jeanne Kreek, MD, The Rockefeller University, New York, NY, USA
Téléchargé le
20 juin 2023
DOI
Pour une demande vous connecter.
Licence
Creative Commons BY 4.0
Modèle Commentaires :
Ici, vous pouvez faire des commentaires sur le modèle. À partir des bulles de texte, vous pouvez laisser des commentaires spécifiques sur les groupes Item et les Item.
Groupe Item commentaires pour :
Item commentaires pour :
Vous devez être connecté pour pouvoir télécharger des formulaires. Veuillez vous connecter ou s’inscrire gratuitement.
dbGaP phs001109 Addictions: Genotypes and Genetic Correlates
The subject consent file includes subject IDs, consent information, subject aliases, and case control status of the subject for opioid dependence.
- StudyEvent: SEV1
- The subject consent file includes subject IDs, consent information, subject aliases, and case control status of the subject for opioid dependence.
- This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample aliases.
- This subject phenotype table contains subject ID, age, sex, race, diagnostic system, dependence to alcohol and drugs (n=7 variables; opioid, cocaine, nicotine, cannabis, stimulant, sedative, and other drug), and abuse of alcohol and drugs (n=6 variables; opioid, cocaine, cannabis, stimulant, sedative, and other drug), and twin zygosity.
- This sample attributes table contains sample IDs, body site where sample was collected, analyte type, tumor status, and name of the center which conducted genotyping.
- The subject pedigree table contains family ID, subject ID, father ID, mother ID, sex, and twin ID for monozygotic twins and multiples.
Similar models
The subject consent file includes subject IDs, consent information, subject aliases, and case control status of the subject for opioid dependence.
- StudyEvent: SEV1
- The subject consent file includes subject IDs, consent information, subject aliases, and case control status of the subject for opioid dependence.
- This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample aliases.
- This subject phenotype table contains subject ID, age, sex, race, diagnostic system, dependence to alcohol and drugs (n=7 variables; opioid, cocaine, nicotine, cannabis, stimulant, sedative, and other drug), and abuse of alcohol and drugs (n=6 variables; opioid, cocaine, cannabis, stimulant, sedative, and other drug), and twin zygosity.
- This sample attributes table contains sample IDs, body site where sample was collected, analyte type, tumor status, and name of the center which conducted genotyping.
- The subject pedigree table contains family ID, subject ID, father ID, mother ID, sex, and twin ID for monozygotic twins and multiples.
C0441833 (UMLS CUI [1,2])
C0549184 (UMLS CUI [1,2])
C0009797 (UMLS CUI [1,3])
C0205257 (UMLS CUI [1,4])
C2700399 (UMLS CUI [1,5])
C0030761 (UMLS CUI [1,6])
C5418626 (UMLS CUI [2,1])
C0549184 (UMLS CUI [2,2])
C0009797 (UMLS CUI [2,3])
C0205257 (UMLS CUI [2,4])
C2700399 (UMLS CUI [2,5])
C0017431 (UMLS CUI [2,6])
C4553389 (UMLS CUI [2,7])
C0449416 (UMLS CUI [1,2])
C0681850 (UMLS CUI [1,3])
C3847505 (UMLS CUI [1,2])
C0449416 (UMLS CUI [1,3])