Table 2.
Associations between EduYears-GPS genome-wide polygenic scores and substance use disorder criterion counts in the full sample.
Alcohol Use Disorder Criterion Count (n = 5582) |
Nicotine Dependence Criterion Count (n = 4754) |
Cannabis Use Disorder Criterion Count (n = 5578) |
||||
---|---|---|---|---|---|---|
Parameter | b | 95% CI | b | 95% CI | b | 95% CI |
Intercept | −2.79 | [−3.78, −1.79] | −1.47 | [−2.59, −0.34] | −1.01 | [−1.74, −0.28] |
Sex (female) | −0.58 | [−0.62, −0.54] | −0.22 | [−0.27, −0.18] | −0.34 | [−0.37, −0.30] |
Age | −0.01 | [−0.01, −5.12E-03] | 5.00E-03 | [−3.84E-05, 9.76E-03] | −8.60E-03 | [−0.01, −5.01E-03] |
PC1 | 83.39 | [9.18, 157.60] | −23.63 | [−107.81, 60.54] | −42.38 | [−108.61, 23.86] |
PC2 | 26.39 | [−11.30, 64.07] | 29.71 | [−12.40, 71.83] | 15.99 | [−17.76, 49.73] |
EduYears-GPS count | 1.01E-05 | [8.35E-06, 1.19E-05] | 9.29E-06 | [6.78E-06, 1.18E-05] | 3.70E-05 | [2.77E-05, 4.62E-05] |
Cohort 2 | 0.22 | [0.10, 0.33] | 0.15 | [−0.01, 0.31] | −0.03 | [−0.14, 0.07] |
Cohort 3 | 0.41 | [0.25, 0.58] | 0.14 | [−0.08, 0.35] | 0.44 | [0.29, 0.58] |
Cohort 4 | 0.16 | [−0.05, 0.36] | −0.02 | [−0.28, 0.24] | 0.31 | [0.12, 0.49] |
EduYears-GPS | −19,360.64† | [−25,072.31, −13,648.97] | −24,663.58† | [−29,961.23, −19,365.93] | −2,551.10 | [−3,781.71, −1,320.49] |
EduYears-GPS ΔR2 | 0.79% | 1.84% | 0.30% |
Notes. Boldface indicates estimate P ≤ 0.05.
denotes that the EduYears-GPS effect was robust after controlling for phenotypic educational attainment (see Supporting Information Table 2). The EduYears-GPS thresholds for each substance were: alcohol (P<0.30); nicotine (P<0.20); cannabis (P<0.01). Abbreviations: PC = principal component for genetic ancestry; Cohort = dummy-coded variables indexing year of birth, defined as [1930–1950); [1950–1970); and [1970–2010); EduYears-GPS count = number of single nucleotide polymorphisms available for polygenic scoring; EduYears-GPS = educational attainment genome-wide polygenic score; ΔR2 = change in r-squared.