@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}
}
@article{deJongDinizSalomaetal.2018,
  author    = {de Jong, Simone and Diniz, Mateus Jose Abdalla and Saloma, Andiara and Gadelha, Ary and Santoro, Marcos L. and Ota, Vanessa K. and Noto, Cristiano and Curtis, Charles and Newhouse, Stephen J. and Patel, Hamel and Hall, Lynsey S. and O'Reilly, Paul F. and Belangero, Sintia I. and Bressan, Rodrigo A. and Breen, Gerome},
  title     = {Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder},
  series = {Communications Biology},
  volume    = {1},
  journal   = {Communications Biology},
  organization    = {Major Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics Consortium},
  doi       = {10.1038/s42003-018-0155-y},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-223622},
  year      = {2018},
  abstract  = {Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30\% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generations. This may explain the observation of anticipation in mood disorders, whereby onset is earlier and the severity increases over the generations of a family. Joint analyses of rare and common variation may be a powerful way to understand the familial genetics of psychiatric disorders.},
  language  = {en}
}