@phdthesis{VanderAuwera2017,
  author    = {Sandra Van der Auwera},
  title     = {The Impact of Genetic Risk Factors for Major Psychiatric Disorders in the SHIP Study},
  journal    = {Der Einfluss genetischer Risikofaktoren psychiatrischer Erkrankungen in der SHIP-Studie},
  url       = {https://nbn-resolving.org/urn:nbn:de:gbv:9-002692-6},
  year      = {2017},
  abstract  = {Psychiatric disorders are highly heritable. But the underlying molecular mechanisms are largely unknown or not understood. For many disorders, candidate genes have been proposed which are biologically driven or based on large GWAS studies. In this work different approaches were shown to investigate the impact of genetic risk factors for major psychiatric disorders in the general population. These genetic risk variants include single nucleotide polymorphisms associated with schizophrenia or major depression and were analyzed using the whole-genome information in polygenic scores or candidate marker analysis in GxE studies. Genetic data from SHIP-0 and SHIP-TREND have been used to calculate a polygenic risk score for schizophrenia. Here, the association between this genetic score and brain alterations is shown in three independent samples (SHIP-2, SHIP-TREND and BIG) which revealed no hint of a common genetic basis for schizophrenia and brain structure. These results are in line with other studies that also failed to find a genetic overlap. The same polygenic scores had been used in a PHEWAS analysis in SHIP-0 where an inverse association to migraine was found. This association could be attributed to the NMDA receptor activation via D-serine at the glutamatergic synapse. To assess the impact of environmental factors on the path from genes to phenotype, gene-environment interactions were applied. A significant interaction could be observed between rs7305115 (TPH2) and rs25531 (5-HTTLPR) and childhood abuse on current depression score in SHIP-LEGEND and SHIP-TREND. In summary, genetic variants associated with major psychiatric disorders can exhibit pleiotropic effects on common phenotypes in the general population.},
  language  = {en}
}