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@ARTICLE{Andlauer:891609,
      author       = {Andlauer, Till F. M. and Mühleisen, Thomas W. and
                      Hoffstaedter, Felix and Teumer, Alexander and Wittfeld,
                      Katharina and Teuber, Anja and Reinbold, Céline S. and
                      Grotegerd, Dominik and Bülow, Robin and Caspers, Svenja and
                      Dannlowski, Udo and Herms, Stefan and Hoffmann, Per and
                      Kircher, Tilo and Minnerup, Heike and Moebus, Susanne and
                      Nenadić, Igor and Teismann, Henning and Völker, Uwe and
                      Etkin, Amit and Berger, Klaus and Grabe, Hans J. and
                      Nöthen, Markus M. and Amunts, Katrin and Eickhoff, Simon B.
                      and Sämann, Philipp G. and Müller-Myhsok, Bertram and
                      Cichon, Sven},
      title        = {{G}enetic factors influencing a neurobiological substrate
                      for psychiatric disorders},
      journal      = {Translational Psychiatry},
      volume       = {11},
      number       = {1},
      issn         = {2158-3188},
      address      = {London},
      publisher    = {Nature Publishing Group},
      reportid     = {FZJ-2021-01620},
      pages        = {192},
      year         = {2021},
      abstract     = {A retrospective meta-analysis of magnetic resonance imaging
                      voxel-based morphometry studies proposed that reduced gray
                      matter volumes in the dorsal anterior cingulate and the left
                      and right anterior insular cortex-areas that constitute hub
                      nodes of the salience network-represent a common substrate
                      for major psychiatric disorders. Here, we investigated the
                      hypothesis that the common substrate serves as an
                      intermediate phenotype to detect genetic risk variants
                      relevant for psychiatric disease. To this end, after a data
                      reduction step, we conducted genome-wide association studies
                      of a combined common substrate measure in four
                      population-based cohorts (n = 2271), followed by
                      meta-analysis and replication in a fifth cohort (n = 865).
                      After correction for covariates, the heritability of the
                      common substrate was estimated at 0.50 (standard error
                      0.18). The top single-nucleotide polymorphism (SNP)
                      rs17076061 was associated with the common substrate at
                      genome-wide significance and replicated, explaining $1.2\%$
                      of the common substrate variance. This SNP mapped to a locus
                      on chromosome 5q35.2 harboring genes involved in neuronal
                      development and regeneration. In follow-up analyses,
                      rs17076061 was not robustly associated with psychiatric
                      disease, and no overlap was found between the broader
                      genetic architecture of the common substrate and genetic
                      risk for major depressive disorder, bipolar disorder, or
                      schizophrenia. In conclusion, our study identified that
                      common genetic variation indeed influences the common
                      substrate, but that these variants do not directly translate
                      to increased disease risk. Future studies should investigate
                      gene-by-environment interactions and employ functional
                      imaging to understand how salience network structure
                      translates to psychiatric disorder risk.},
      cin          = {INM-7 / INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)INM-1-20090406},
      pnm          = {525 - Decoding Brain Organization and Dysfunction
                      (POF4-525) / HBP SGA2 - Human Brain Project Specific Grant
                      Agreement 2 (785907) / JL SMHB - Joint Lab Supercomputing
                      and Modeling for the Human Brain (JL SMHB-2021-2027)},
      pid          = {G:(DE-HGF)POF4-525 / G:(EU-Grant)785907 / G:(DE-Juel1)JL
                      SMHB-2021-2027},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33782385},
      UT           = {WOS:000636309900005},
      doi          = {10.1038/s41398-021-01317-7},
      url          = {https://juser.fz-juelich.de/record/891609},
}