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@INPROCEEDINGS{Federmann:1024887,
      author       = {Federmann, L. and Sindermann, L. and Primus, S. and
                      Raimondo, F. and Oexle, K. and Goltermann, J. and
                      Winkelmann, J. and Nöthen, M. M. and Amunts, K. and
                      Mühleisen, T. W. and Cichon, S. and Eickhoff, S. B. and
                      Hoffstaedter, F. and Dannlowski, U. and Patil, K. R. and
                      Forstner, A. J.},
      title        = {{L}inking brain structure and genetic risk in large-scale
                      data: {A} comparison of shared versus predominantly
                      disorder-specific genetic risk for neuropsychiatric
                      disorders},
      volume       = {159},
      issn         = {1388-2457},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2024-02538},
      pages        = {e29 - e30},
      year         = {2024},
      abstract     = {Shared and predominantly disorder-specific common genetic
                      risk variants for neuropsychiatric disorders have been
                      identified in previous studies. In particular, a large-scale
                      genome-wide association study meta-analysis across eight
                      neuropsychiatric disorders reported 23 highly pleiotropic
                      single-nucleotide polymorphisms (SNPs) that are associated
                      with at least four disorders as well as 22 SNPs that were
                      predominantly associated with schizophrenia (SCZ) risk. Yet,
                      their influences on brain structure which might be relevant
                      for the increased vulnerability to multiple or specific
                      neuropsychiatric disorders is not fully understood. In this
                      study, we investigated and compared the cumulative
                      influences of highly pleiotropic and predominantly
                      SCZ-specific SNPs at the level of brain structure in the
                      general population. Comparing their brain structural
                      associations might point to brain regions of high
                      transdiagnostic value as well as brain regions relevant to
                      SCZ-specific risk pathways.},
      month         = {Mar},
      date          = {2024-03-06},
      organization  = {Congress for Clinical Neuroscience
                       with Advanced Training Academy (DGKN24)
                       of the German Society for Clinical
                       Neurophysiology and Functional
                       Neuroimaging (DGKN), Frankfurt am Main
                       (Germany), 6 Mar 2024 - 9 Mar 2024},
      cin          = {INM-7 / INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)INM-1-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / 5252 - Brain Dysfunction and Plasticity
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.1016/j.clinph.2023.12.074},
      url          = {https://juser.fz-juelich.de/record/1024887},
}