Hi Elexis,
Just a brief summary of how PrediXcan works. The first output is the predicted expression file; using the genotypes provided, PrediXcan will predict expression of a number of genes. The second output file is the association file which runs an association between the predicted expression from the previous file and a number of phenotypes provided.
In the association file, the beta refers to the coefficient of the fit between the predicted expression of the gene and the phenotype of interest. The SE is the standard error of that beta. Together the beta value and its error give you an idea of the effect size. T is the value of the test statistic when performing an association test between the predicted gene expression and the phenotype. From the test statistic, the p column represents the p-value. A small p-value would indicate that there is a significant association between that gene and phenotype. From your results, ideally you would want a p-value that is significant at the Bonferroni threshold (0.5/#genes) or (0.5/#genes*#phenotypes), if you have multiple phenotypes you're testing for.
In the association file, each line represents an individual. The IID refers to that person's distinct ID and the FID would be a familial ID. If there are multiple people from the same family, they would have the same FID, and is a measure for relatedness. This file just details what is the phenotype value for each individual.
Hopefully this all helps!
Natasha