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Chunk #5 — Materials and methods — Selection of covariates to for analyses — Linear regression

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Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism.
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We first performed a linear regression with alcohol dependence as a dependent variable to identify possible covariates (e.g. sex, age, PMI). The mean age of AD subjects was 55.65 years and was not significantly different from the age of control subjects (54.96) (Table 1). There was no significant difference in distribution of RIN and brain pH between cases and controls (Table 1). Postmortem interval (PMI) was significantly lower for the alcohol-dependent subjects.Table 1Demographic profile of alcohol-dependent and control subjectsTraitAlcohol Dependent (N = 65)Control (N = 73)Male (%)51 (78%)60 (82%)Mean Age (SD) (yrs)55.65 (11.81)54.96 (12.11)Mean PMI (SD) (hrs)33.66 (15.59)*26.63 (13.25)Brain pH (SD)6.54 (0.23)6.58 (0.29)RIN (SD)6.84 (0.96)7.0 (1.01)*P value = 0.0049