The Bioinformatics and Statistics Core will provide the bioinformatics and statistical support for all three projects. All data will flow to the Core for both advanced analysis and archiving. At the first level this support will include monitoring experimental designs for statistical integrity, organizing complex data sets generated in each Project so that they are more accessible to the Principal Investigators for interpretation and discovery and perform data mining using bioinformatic tools. At this first level, clinical data entered into the web site at Scripps will also be integrated with these efforts in a real-time fashion. At the second level the Core will supervise the selection and statistical validation of the gene candidate set based on gene expression and proteomic data intended for complex trait genetics in Project 3. We will use supervised (class prediction) and unsupervised (clustering) data mining methods. We will also identify differentially expressed genes and proteins in the different kidney transplant group comparisons. We will also test whether SNPs are associated with transplant groups. At the third level the Core will integrate data generated in all three Projects so that connections, pathways and mechanisms can be recognized, defined and validated including possibly novel relationships between patient and donor genetics.