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. Author manuscript; available in PMC: 2017 Mar 1.
Published in final edited form as: Behav Genet. 2015 Sep 21;46(2):151–169. doi: 10.1007/s10519-015-9737-3

Table 4.

Summary of the effect of rs1799971 on specific substance dependence diagnoses in 9 studies that assessed all five substance dependence diagnoses and exposures.

Ordinal Logistic Regression Results
Substance Cases Controls Cochrane’s Q Q-Pvalue Odds Ratio L95%-U95% OR-Pvalue
Alcohol 2031 3361 8.90 0.351 0.90 0.76–1.06 0.218
Nicotine 2718 2674 7.78 0.455 0.89 0.74–1.07 0.216
Cannabis 839 4553 10.76 0.216 0.91 0.73–1.14 0.420
Cocaine 992 4085 0.86 0.990 0.92 0.69–1.24 0.593
Opioid 607 4274 3.12 0.682 0.91 0.65–1.27 0.577
Traditional Logistic Regression Results (Dependence as outcome variable)
Alcohol 2051 3430 10.66 0.222 0.88 0.76–1.02 0.974
Nicotine 2066 1412 8.69 0.276 0.91 0.76–1.08 0.267
Cannabis 861 3036 9.08 0.336 0.90 0.74–1.09 0.283
Cocaine 1011 899 0.85 0.997 0.91 0.70–1.19 0.492
Opioid 600 577 2.31 0.679 0.91 0.67–1.24 0.547

Substance column shows the tested outcome phenotype. All effects shows are fixed effect estimates. In the traditional logistic regression results, controls were required to be exposed each tested substance, in addition to meeting the previously applied filters for age and exposure to alcohol.