threshold were roughly equivalent. For example, in the case of severe AUD, when dividing 80th percentile (OR = 1.98; 95% CI = 1.53, 2.57), 90th percentile (OR = 2.02; 95% CI = 1.73, 2.36), or 95th percentile (OR = 1.96; 95% CI = 1.59, 2.40), all of confidence intervals for the point estimates overlap. In FT12, there was a similar pattern. Though some of the point estimates appear to increase as the thresholds become more restrictive, the confidence intervals again overlap.Table 2Odds ratios for those at extreme end of the PRS continuum.SamplePhenotypePrevalenceSplitN CasesOR95 % CI Low95 % CI HighMild AUD57.06%80%9981.96*1.702.26COGAMild AUD57.06%90%5011.81*1.492.19Mild AUD57.06%95%2581.89*1.452.47Moderate AUD37.44%80%7382.07*1.792.38COGAModerate AUD37.44%90%3831.94*1.602.34Moderate AUD37.44%95%2011.98*1.532.57Severe AUD25.89%80%5342.02*1.732.36COGASevere AUD25.89%90%2851.96*1.592.40Severe AUD25.89%95%1461.81*1.382.39Mild AUD41.98%80%1231.78*1.212.61FT12Mild AUD41.98%90%682.35*1.413.93Mild AUD41.98%95%321.940.973.88Moderate AUD13.91%80%552.85*1.724.74FT12Moderate AUD13.91%90%323.50*1.856.64Moderate AUD13.91%95%153.14*1.337.42Severe AUD3.79%80%162.84*1.375.87FT12Severe AUD3.79%90%124.41*2.049.54Severe AUD3.79%95%52.980.969.30All models control for sex, age at last interview, and first 10 principal components. Models for COGA also included data collection site and genotyping array. N Cases = number of individuals who meet criteria for a given level of AUD and are in the top portion of the split.*p < 0.05 (two-sided) after correcting for 5% false discovery rate (FDR).
