The genetic basis of complex (auto)immune diseases has been studied for an ovine nematode infection, human rheumatoid arthritis (RA), early onset pauciarticular arthritis (EOPA) and multiple sclerosis (MS). Immunoprinting combines the powerful simplicity of polymerase chain reaction (PCR)-based amplification of discrete, highly informative microsatellite loci with the principle of genetic associations. This approach has allowed us to define novel genetic risk factors in adult RA patient categories whereas EOPA forms in juveniles display other prominent genetic contributions. Differentially regulated tumor necrosis factor (TNF) expression may lead to a better understanding of the causal pathogenesis of EOPA while T cell receptor (TCR) gene polymorphisms appear crucial for RA manifestations in certain patient groups. Statistically significant marker associations have still to be defined for MS in larger panels of patient and control cohorts. The clinical course of the disease will probably have to be taken into account when associations with lymphokine levels are evaluated. In essence a convoluted myriad of negative and a few positive disease association data have been generated efficiently by immunoprinting. As expected, the interrelationships are truly complicated between the polymorphic genetic instances predisposing to autoimmune disease. Nevertheless, risk factors may be defined on an individualized basis by indirect gene diagnosis revealing predispositions and providing a more solid basis for differential diagnosis and treatment.