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@ARTICLE{Knig:142063,
      author       = {J. C. König and A. Titieni and M. Konrad and C. Bergmann
                      and M. Cetiner and J. Drube and C. Gimpel and J. Göbel and
                      D. Haffner and T. Illig and N. Klopp and J. König and M.
                      Konrad and M. Lablans$^*$ and M. C. Liebau and S. Lienkamp
                      and C. Okorn and H. Omran and L. Pape and P. Pennekamp and
                      F. Schaefer and B. Schermer and H. Storf and A. Titieni and
                      F. Ückert$^*$ and S. Weber and W. Ziegler},
      collaboration = {N. Consortium},
      title        = {{N}etwork for {E}arly {O}nset {C}ystic {K}idney
                      {D}iseases-{A} {C}omprehensive {M}ultidisciplinary
                      {A}pproach to {H}ereditary {C}ystic {K}idney {D}iseases in
                      {C}hildhood.},
      journal      = {Frontiers in Pediatrics},
      volume       = {6},
      issn         = {2296-2360},
      address      = {Lausanne},
      publisher    = {Frontiers Media},
      reportid     = {DKFZ-2018-02293},
      pages        = {24},
      year         = {2018},
      abstract     = {Hereditary cystic kidney diseases comprise a complex group
                      of genetic disorders representing one of the most common
                      causes of end-stage renal failure in childhood. The main
                      representatives are autosomal recessive polycystic kidney
                      disease, nephronophthisis, Bardet-Biedl syndrome, and
                      hepatocyte nuclear factor-1beta nephropathy. Within the last
                      years, genetic efforts have brought tremendous progress for
                      the molecular understanding of hereditary cystic kidney
                      diseases identifying more than 70 genes. Yet, genetic
                      heterogeneity, phenotypic variability, a lack of reliable
                      genotype-phenotype correlations and the absence of
                      disease-specific biomarkers remain major challenges for
                      physicians treating children with cystic kidney diseases. To
                      tackle these challenges comprehensive scientific approaches
                      are urgently needed that match the ongoing 'revolution' in
                      genetics and molecular biology with an improved efficacy of
                      clinical data collection. Network for early onset cystic
                      kidney diseases (NEOCYST) is a multidisciplinary,
                      multicenter collaborative combining a detailed collection of
                      clinical data with translational scientific approaches
                      addressing the genetic, molecular, and functional background
                      of hereditary cystic kidney diseases. Consisting of seven
                      work packages, including an international registry as well
                      as a biobank, NEOCYST is not only dedicated to current
                      scientific questions, but also provides a platform for
                      longitudinal clinical surveillance and provides precious
                      sources for high-quality research projects and future
                      clinical trials. Funded by the German Federal Government,
                      the NEOCYST collaborative started in February 2016. Here, we
                      would like to introduce the rationale, design, and
                      objectives of the network followed by a short overview on
                      the current state of progress.},
      cin          = {G230},
      ddc          = {610},
      cid          = {I:(DE-He78)G230-20160331},
      pnm          = {317 - Translational cancer research (POF3-317)},
      pid          = {G:(DE-HGF)POF3-317},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29497606},
      pmc          = {pmc:PMC5819567},
      doi          = {10.3389/fped.2018.00024},
      url          = {https://inrepo02.dkfz.de/record/142063},
}