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@ARTICLE{Schulze:20390,
      author       = {Schulze, T.G. and Akula, N. and Breuer, R. and Steele, J.
                      and Nalls, M.A. and Singleton, A.B. and Degenhardt, F.A. and
                      Nöthen, M.M. and Cichon, S. and Rietschel, M. and McMahon,
                      F.J.},
      title        = {{M}olecular genetic overlap in bipolar disorder,
                      schizophrenia, and major depressive disorder},
      journal      = {The world journal of biological psychiatry},
      volume       = {15},
      number       = {3},
      issn         = {1562-2975},
      address      = {London [u.a.]},
      publisher    = {Informa Healthcare},
      reportid     = {PreJuSER-20390},
      pages        = {200-208},
      year         = {2014},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {Objectives. Genome-wide association studies (GWAS) in
                      complex phenotypes, including psychiatric disorders, have
                      yielded many replicated findings, yet individual markers
                      account for only a small fraction of the inherited
                      differences in risk. We tested the performance of polygenic
                      models in discriminating between cases and healthy controls
                      and among cases with distinct psychiatric diagnoses.
                      Methods. GWAS results in bipolar disorder (BD), major
                      depressive disorder (MDD), schizophrenia (SZ), and
                      Parkinson's disease (PD) were used to assign weights to
                      individual alleles, based on odds ratios. These weights were
                      used to calculate allele scores for individual cases and
                      controls in independent samples, summing across many single
                      nucleotide polymorphisms (SNPs). How well allele scores
                      discriminated between cases and controls and between cases
                      with different disorders was tested by logistic regression.
                      Results. Large sets of SNPs were needed to achieve even
                      modest discrimination between cases and controls. The most
                      informative SNPs were overlapping in BD, SZ, and MDD, with
                      correlated effect sizes. Little or no overlap was seen
                      between allele scores for psychiatric disorders and those
                      for PD. Conclusions. BD, SZ, and MDD all share a similar
                      polygenic component, but the polygenic models tested lack
                      discriminative accuracy and are unlikely to be useful for
                      clinical diagnosis.},
      cin          = {INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {Funktion und Dysfunktion des Nervensystems (FUEK409) /
                      89571 - Connectivity and Activity (POF2-89571)},
      pid          = {G:(DE-Juel1)FUEK409 / G:(DE-HGF)POF2-89571},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:22404658},
      pmc          = {pmc:PMC3406228},
      UT           = {WOS:000332798400004},
      doi          = {10.3109/15622975.2012.662282},
      url          = {https://juser.fz-juelich.de/record/20390},
}