reliability of the ascertained affectedness information and of FH measures derived from these reports. Therefore, taking advantage of COGA’s rich multi-modal AUD data, large ethnically diverse sample, and diagnostic information obtained via direct interviews, we computed four commonly used dichotomous and four density measures of FH, compared their predictive value in associations with alcohol-related clinical, behavioral, and neural outcomes, across gender and race/ethnicity. Specifically, we examined the diagnostic accuracy of dichotomous and density FH measures at classifying DSM-5 AUD diagnosis, their associations with likelihood of AUD, age of onset of regular drinking, and parietal P3 amplitude to visual target stimuli. We also examined if the diagnostic accuracy of these FH measures and their associations with the outcomes varied by gender (females vs. males) and self-reported race/ethnicity (Blacks vs. Whites).
