@phdthesis{Gerlach2018,
  author    = {Gerlach, Jennifer},
  title     = {Influence of Myc-interacting proteins on transcription and development},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-154917},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2018},
  abstract  = {The transcription factor Myc interacts with several co-factors to regulate growth and proliferationand thereby enables normal animal development. Deregulation of Myc is associated witha wide range of human tumors. Myc binds to DNA together with its dimerization partner Max, preferentially to canonical E-box motifs, but this sequence-specific interaction is probably not sufficient for Myc's binding to target genes. In this work, the PAF1 complex was characterized as a novel co-factor of Myc in Drosophila melanogaster. All components of the complex are required for Myc's recruitment to chromatin, but the subunit Atu has the strongest effect on Myc's binding to target genes through ist direct physical interaction with Myc. Unexpectedly, the impact of Atu depletion on the Expression of Myc target genes was weak compared to its effect on Myc binding. However, the influence of Atu becomes more prominent in situations of elevated Myc levels in vivo . Mycrepressed as well as Myc-activated targets are affected, consistent with the notion that Myc recruitment is impaired. An independent set of analyses revealed that Myc retains substantial activity even in the complete absence of Max. The overexpression of Myc in Max0 mutants specifically blocks their pupariation without affecting their survival, which raised the possibility that Myc might affect ecdysone biosynthesis. This connection was studied in the second part of this Thesis which showed that Myc inhibits the expression of ecdysteroidogenic genes and thereby the production of ecdysone. Myc most likely affects the signaling pathways (PTTH and insulin signaling) upstream of the PG, the organ where ecdysone is produced. By combining existing ChIPseq, RNAseq and electronic annotation data, we identified five potential Maxindependent Myc targets and provided experimental data that they might be involved in Myc's effect on Max mutant animals. Together our data confirm that some Myc functions are Max-independent and they raise the possibility that this effect might play a role during replication.},
  subject      = {Taufliege},
  language  = {en}
}
@article{RaynerColemanPurvesetal.2019,
  author    = {Rayner, Christopher and Coleman, Jonathan R. I. and Purves, Kirstin L. and Hodsoll, John and Goldsmith, Kimberley and Alpers, Georg W. and Andersson, Evelyn and Arolt, Volker and Boberg, Julia and B{\"o}gels, Susan and Creswell, Cathy and Cooper, Peter and Curtis, Charles and Deckert, J{\"u}rgen and Domschke, Katharina and El Alaoui, Samir and Fehm, Lydia and Fydrich, Thomas and Gerlach, Alexander L. and Grocholewski, Anja and Hahlweg, Kurt and Hamm, Alfons and Hedman, Erik and Heiervang, Einar R. and Hudson, Jennifer L. and J{\"o}hren, Peter and Keers, Robert and Kircher, Tilo and Lang, Thomas and Lavebratt, Catharina and Lee, Sang-hyuck and Lester, Kathryn J. and Lindefors, Nils and Margraf, J{\"u}rgen and Nauta, Maaike and Pan{\´e}-Farr{\´e}, Christiane A. and Pauli, Paul and Rapee, Ronald M. and Reif, Andreas and Rief, Winfried and Roberts, Susanna and Schalling, Martin and Schneider, Silvia and Silverman, Wendy K. and Str{\"o}hle, Andreas and Teismann, Tobias and Thastum, Mikael and Wannem{\"u}ller, Andre and Weber, Heike and Wittchen, Hans-Ulrich and Wolf, Christiane and R{\"u}ck, Christian and Breen, Gerome and Eley, Thalia C.},
  title     = {A genome-wide association meta-analysis of prognostic outcomes following cognitive behavioural therapy in individuals with anxiety and depressive disorders},
  series = {Translational Psychiatry},
  volume    = {9},
  journal   = {Translational Psychiatry},
  number    = {150},
  doi       = {10.1038/s41398-019-0481-y},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-225048},
  pages     = {1-13},
  year      = {2019},
  abstract  = {Major depressive disorder and the anxiety disorders are highly prevalent, disabling and moderately heritable. Depression and anxiety are also highly comorbid and have a strong genetic correlation (r(g) approximate to 1). Cognitive behavioural therapy is a leading evidence-based treatment but has variable outcomes. Currently, there are no strong predictors of outcome. Therapygenetics research aims to identify genetic predictors of prognosis following therapy. We performed genome-wide association meta-analyses of symptoms following cognitive behavioural therapy in adults with anxiety disorders (n = 972), adults with major depressive disorder (n = 832) and children with anxiety disorders (n = 920; meta-analysis n = 2724). We (h(SNP)(2)) and polygenic scoring was used to examine genetic associations between therapy outcomes and psychopathology, personality and estimated the variance in therapy outcomes that could be explained by common genetic variants learning. No single nucleotide polymorphisms were strongly associated with treatment outcomes. No significant estimate of h(SNP)(2) could be obtained, suggesting the heritability of therapy outcome is smaller than our analysis was powered to detect. Polygenic scoring failed to detect genetic overlap between therapy outcome and psychopathology, personality or learning. This study is the largest therapygenetics study to date. Results are consistent with previous, similarly powered genome-wide association studies of complex traits.},
  language  = {en}
}