paperKB
coga / coga-kb
Help
Sign in

Chunk #10 — MATERIALS AND METHODS — Data analysis

Source
Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium.
Embedded
yes

Text

The association analysis was conducted stratifying each cohort by ancestry (i.e., African and European ancestries) and genotyping array. For case–control studies, imputed dosages were entered in a logistic regression. For family-based studies, logistic mixed models were used to analyze hard-called best-guess genotypes. The association analyses were adjusted for sex and the within-ancestry top 10 principal components to account for possible confounding by population stratification. To investigate differences between OE and OD, three phenotype definitions were considered: i) OD cases vs. OE controls (ODexposed; n=4,503 and 4,173, respectively); ii) OD cases vs. OU controls (ODunexposed; n=4,238 and 17,700, respectively; iii) OE controls vs. OU controls (OEcontrols; n=4,173 and 32,500). As explained in the Supplementary Methods, we removed some of the cohorts from the ODunexposed meta-analysis due to the deflation (λGC<0.9) caused by the low number of cases and the small case-control ratio. For each phenotype, meta-analyses of the results across the different cohorts were conducted in METAL with weights proportional to the square-root of the sample size for each study22. The effective sample size of each cohort was calculated based on