ID
45441
Description
Principal Investigator: Bernice Porjesz*, PhD (*Administrative PI), SUNY Health Sciences Center, Brooklyn, NY, USA MeSH: Alcoholism https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000763 COGA is a family study of alcoholism, in which the subjects have been drawn from the Collaborative Study on the Genetics of Alcoholism (COGA), a large, ongoing family-based study that includes subjects from seven sites around the US. COGA has gathered detailed, standardized data on study participants, including diagnostic and neurophysiological assessments. This sample has already proved successful in identifying several genes that influence the risk for alcoholism and neurophysiological endophenotypes, which have been independently replicated. COGA data were included as part of two Genetic Analysis Workshops, and the phenotypes are familiar to the genetics community. Alcoholic probands were recruited from treatment facilities, assessed by personal interview, and after securing permission, other family members were also assessed. A set of comparison families was drawn from the same communities as the families recruited through an alcoholic proband. Assessment involved a detailed personal interview developed for this project, the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA), which gathers detailed information on alcoholism related symptoms along with other drugs and psychiatric symptoms. Many participants also came to the laboratories for electroencephalographic studies. Neurophysiological features that have been shown to be useful endophenotypes for which we have linkage and in some cases association results, are included for a subset of the case-control sample:- the beta power of the resting electroencephalogram (EEG), - the P3(00) amplitude of the visual event-related potential (ERP) and the - theta and delta event-related oscillations (EROs) underlying the P3. As part of COGA, a set of informative families was selected to have Genome-Wide Association data obtained within families. Genotyping was performed using the Illumina Human OmniExpress array 12.VI to genotype 2,282 subjects selected from 118 densely affected families. Genotyping was performed at the Genome Technology Access Center at Washington University School of Medicine in St. Louis. In addition, we also included genotypes for subjects (n=275 subjects) from these 118 families who were genotyped in a previous case-control GWAS using the Illumina 1M array. For quality control purposes, 51 of the 275 subjects were genotyped again on the Illumina Human OmniExpress array at the Washington University School of Medicine core facility.
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Versions (1)
- 04/12/2022 04/12/2022 - Simon Heim
Détendeur de droits
Bernice Porjesz*, PhD (*Administrative PI), SUNY Health Sciences Center, Brooklyn, NY, USA
Téléchargé le
4 décembre 2022
DOI
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Creative Commons BY 4.0
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dbGaP phs000763 The Collaborative Study on the Genetics of Alcoholism (COGA)
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Pedigree Information
- Subject - Sample Mapping
- The dataset provides data collected for alcohol abuse, dependence (e.g. onset, status at first diagnosis, and presence of maximal symptoms based on information obtained through the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) questionnaire), general alcohol consumption, and basic sociodemographic data.
- Sample - Attribute Information
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Pedigree Information
- Subject - Sample Mapping
- The dataset provides data collected for alcohol abuse, dependence (e.g. onset, status at first diagnosis, and presence of maximal symptoms based on information obtained through the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) questionnaire), general alcohol consumption, and basic sociodemographic data.
- Sample - Attribute Information
C0680251 (UMLS CUI [1,2])
C0205487 (UMLS CUI [1,2])
C1550330 (UMLS CUI [1,3])
C0021562 (UMLS CUI [1,4])
C0029921 (UMLS CUI [1,5])
C0038580 (UMLS CUI [1,6])
C0001962 (UMLS CUI [1,7])
C0150543 (UMLS CUI [1,8])
C0205197 (UMLS CUI [1,9])
C1265611 (UMLS CUI [1,2])
C4082120 (UMLS CUI [1,3])
C1298908 (UMLS CUI [1,4])
C1710032 (UMLS CUI [1,5])
C1948053 (UMLS CUI [1,6])
C3846017 (UMLS CUI [1,7])
C0023890 (UMLS CUI [1,8])
C0349464 (UMLS CUI [1,9])
C0343752 (UMLS CUI [1,10])
C0080103 (UMLS CUI [1,11])
C0581906 (UMLS CUI [1,12])
C0017446 (UMLS CUI [1,13])
C0009932 (UMLS CUI [1,2])
C0015576 (UMLS CUI [1,3])
C0449788 (UMLS CUI [1,4])
C0030551 (UMLS CUI [1,5])
C0037047 (UMLS CUI [1,6])
C0150105 (UMLS CUI [1,7])
C0018720 (UMLS CUI [1,8])
C0011344 (UMLS CUI [1,9])
C1882932 (UMLS CUI [1,10])
C0683971 (UMLS CUI [1,11])
C0080103 (UMLS CUI [1,2])
C1521801 (UMLS CUI [1,3])
C2348563 (UMLS CUI [1,4])
C0231448 (UMLS CUI [1,5])
C0522476 (UMLS CUI [1,6])