We used both agnostic, discovery-based and candidate-gene guided approaches. A unique feature of our work was the examination of both common and rare variants. We used p-value significance thresholds that ranged from very conservative to somewhat less so, depending on the nature of the analysis and the number of statistical tests conducted. Should other investigators wish to use a different p-value threshold, our results are reported at a level of detail that allows them to use our tabled data in the articles. We expect the publication and archiving of our findings to be of particular value in years to come to other investigators examining the molecular-genetic basis of these endophenotypes and related measures. These scientists will be able to use our archived data to examine the strength of association we found for our psychophysiological measures to genetic variants they identify in their work. Finally, our data is to be archived in government repositories like dbGaP (database of Genotypes and Phenotypes), and made accessible to qualified investigators who wish to apply different analytic methods and strategies.
