Collaborative Study on the Genetics of Alcoholism (COGA) associated_with controls
Evidence from:
primary |
all sources
Evidence (2 sources)
Predicting risk for Alcohol Use Disorder using longitudinal data with multimodal biomarkers and family history: a machine learning study.
(2021)
PMID:31595034
primary
Participants from COGA were divided into two groups: DSM-5 AUD and unaffected controls.
confidence: 0.96
Peroxisome proliferator-activated receptors α and γ are linked with alcohol consumption in mice and withdrawal and dependence in humans.
(2015)
PMID:25516156
primary
A total of 684 individuals were classified as alcohol dependent and 964 as unaffected
confidence: 0.90