% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Polushina:894536,
      author       = {Polushina, Tatiana and Banerjee, Niladri and Giddaluru,
                      Sudheer and Bettella, Francesco and Espeseth, Thomas and
                      Lundervold, Astri J. and Djurovic, Srdjan and Cichon, Sven
                      and Hoffmann, Per and Nöthen, Markus M. and Steen, Vidar M.
                      and Andreassen, Ole A. and Le Hellard, Stéphanie},
      title        = {{I}dentification of pleiotropy at the gene level between
                      psychiatric disorders and related traits},
      journal      = {Translational Psychiatry},
      volume       = {11},
      number       = {1},
      issn         = {2158-3188},
      address      = {London},
      publisher    = {Nature Publishing Group},
      reportid     = {FZJ-2021-03272},
      pages        = {410},
      year         = {2021},
      abstract     = {Major mental disorders are highly prevalent and make a
                      substantial contribution to the global disease burden. It is
                      known that mental disorders share clinical characteristics,
                      and genome-wide association studies (GWASs) have recently
                      provided evidence for shared genetic factors as well.
                      Genetic overlaps are usually identified at the single-marker
                      level. Here, we aimed to identify genetic overlaps at the
                      gene level between 7 mental disorders (schizophrenia, autism
                      spectrum disorder, major depressive disorder, anorexia
                      nervosa, ADHD, bipolar disorder and anxiety), 8 brain
                      morphometric traits, 2 cognitive traits (educational
                      attainment and general cognitive function) and 9 personality
                      traits (subjective well-being, depressive symptoms,
                      neuroticism, extraversion, openness to experience,
                      agreeableness and conscientiousness, children’s aggressive
                      behaviour, loneliness) based on publicly available GWASs. We
                      performed systematic conditional regression analyses to
                      identify independent signals and select loci associated with
                      more than one trait. We identified 48 genes containing
                      independent markers associated with several traits
                      (pleiotropy at the gene level). We also report 9 genes with
                      different markers that show independent associations with
                      single traits (allelic heterogeneity). This study
                      demonstrates that mental disorders and related traits do
                      show pleiotropy at the gene level as well as the
                      single-marker level. The identification of these genes might
                      be important for prioritizing further deep genotyping,
                      functional studies, or drug targeting.},
      cin          = {INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / HBP SGA2 - Human Brain Project Specific Grant
                      Agreement 2 (785907)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(EU-Grant)785907},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:34326310},
      UT           = {WOS:000680879900001},
      doi          = {10.1038/s41398-021-01530-4},
      url          = {https://juser.fz-juelich.de/record/894536},
}