TY - JOUR A1 - Rayner, Christopher A1 - Coleman, Jonathan R. I. A1 - Purves, Kirstin L. A1 - Hodsoll, John A1 - Goldsmith, Kimberley A1 - Alpers, Georg W. A1 - Andersson, Evelyn A1 - Arolt, Volker A1 - Boberg, Julia A1 - Bögels, Susan A1 - Creswell, Cathy A1 - Cooper, Peter A1 - Curtis, Charles A1 - Deckert, Jürgen A1 - Domschke, Katharina A1 - El Alaoui, Samir A1 - Fehm, Lydia A1 - Fydrich, Thomas A1 - Gerlach, Alexander L. A1 - Grocholewski, Anja A1 - Hahlweg, Kurt A1 - Hamm, Alfons A1 - Hedman, Erik A1 - Heiervang, Einar R. A1 - Hudson, Jennifer L. A1 - Jöhren, Peter A1 - Keers, Robert A1 - Kircher, Tilo A1 - Lang, Thomas A1 - Lavebratt, Catharina A1 - Lee, Sang-hyuck A1 - Lester, Kathryn J. A1 - Lindefors, Nils A1 - Margraf, Jürgen A1 - Nauta, Maaike A1 - Pané-Farré, Christiane A. A1 - Pauli, Paul A1 - Rapee, Ronald M. A1 - Reif, Andreas A1 - Rief, Winfried A1 - Roberts, Susanna A1 - Schalling, Martin A1 - Schneider, Silvia A1 - Silverman, Wendy K. A1 - Ströhle, Andreas A1 - Teismann, Tobias A1 - Thastum, Mikael A1 - Wannemüller, Andre A1 - Weber, Heike A1 - Wittchen, Hans-Ulrich A1 - Wolf, Christiane A1 - Rück, Christian A1 - Breen, Gerome A1 - Eley, Thalia C. T1 - A genome-wide association meta-analysis of prognostic outcomes following cognitive behavioural therapy in individuals with anxiety and depressive disorders JF - Translational Psychiatry N2 - 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. KW - Human behaviour KW - Personalized medicine KW - Prognostic markers KW - Psychiatric disorders Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-225048 VL - 9 IS - 150 ER - TY - JOUR A1 - Schulz, Herbert A1 - Ruppert, Ann-Kathrin A1 - Herms, Stefan A1 - Wolf, Christiane A1 - Mirza-Schreiber, Nazanin A1 - Stegle, Oliver A1 - Czamara, Darina A1 - Forstner, Andreas J. A1 - Sivalingam, Sugirthan A1 - Schoch, Susanne A1 - Moebus, Susanne A1 - Pütz, Benno A1 - Hillmer, Axel A1 - Fricker, Nadine A1 - Vatter, Hartmut A1 - Müller-Myhsok, Bertram A1 - Nöthen, Markus M. A1 - Becker, Albert J. A1 - Hoffmann, Per A1 - Sander, Thomas A1 - Cichon, Sven T1 - Genome-wide mapping of genetic determinants influencing DNA methylation and gene expression in human hippocampus JF - Nature Communications N2 - Emerging evidence emphasizes the strong impact of regulatory genomic elements in neurodevelopmental processes and the complex pathways of brain disorders. The present genome-wide quantitative trait loci analyses explore the \(cis\)-regulatory effects of single-nucleotide polymorphisms (SNPs) on DNA methylation (meQTL) and gene expression (eQTL) in 110 human hippocampal biopsies. We identify \(cis\)-meQTLs at 14,118 CpG methylation sites and \(cis\)-eQTLs for 302 3′-mRNA transcripts of 288 genes. Hippocampal \(cis\)-meQTL-CpGs are enriched in flanking regions of active promoters, CpG island shores, binding sites of the transcription factor CTCF and brain eQTLs. \(Cis\)-acting SNPs of hippocampal meQTLs and eQTLs significantly overlap schizophrenia-associated SNPs. Correlations of CpG methylation and RNA expression are found for 34 genes. Our comprehensive maps of \(cis\)-acting hippocampal meQTLs and eQTLs provide a link between disease-associated SNPs and the regulatory genome that will improve the functional interpretation of non-coding genetic variants in the molecular genetic dissection of brain disorders. KW - psychiatry KW - epigenetics in the nervous system KW - epigenomics KW - gene expression KW - neurological disorders Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-173168 VL - 8 ER - TY - JOUR A1 - Hennings, Johannes M. A1 - Kohli, Martin A. A1 - Czamara, Darina A1 - Giese, Maria A1 - Eckert, Anne A1 - Wolf, Christiane A1 - Heck, Angela A1 - Domschke, Katharina A1 - Arolt, Volker A1 - Baune, Bernhard T. A1 - Horstmann, Sonja A1 - Brückl, Tanja A1 - Klengel, Torsten A1 - Menke, Andreas A1 - Müller-Myhsok, Bertram A1 - Ising, Marcus A1 - Uhr, Manfred A1 - Lucae, Susanne T1 - Possible Associations of NTRK2 Polymorphisms with Antidepressant Treatment Outcome: Findings from an Extended Tag SNP Approach JF - PLoS ONE N2 - Background: Data from clinical studies and results from animal models suggest an involvement of the neurotrophin system in the pathology of depression and antidepressant treatment response. Genetic variations within the genes coding for the brain-derived neurotrophic factor (BDNF) and its key receptor Trkb (NTRK2) may therefore influence the response to antidepressant treatment. Methods: We performed a single and multi-marker association study with antidepressant treatment outcome in 398 depressed Caucasian inpatients participating in the Munich Antidepressant Response Signature (MARS) project. Two Caucasian replication samples (N = 249 and N = 247) were investigated, resulting in a total number of 894 patients. 18 tagging SNPs in the BDNF gene region and 64 tagging SNPs in the NTRK2 gene region were genotyped in the discovery sample; 16 nominally associated SNPs were tested in two replication samples. Results: In the discovery analysis, 7 BDNF SNPs and 9 NTRK2 SNPs were nominally associated with treatment response. Three NTRK2 SNPs (rs10868223, rs1659412 and rs11140778) also showed associations in at least one replication sample and in the combined sample with the same direction of effects (\(P_{corr}\) = .018, \(P_{corr}\) = .015 and \(P_{corr}\) = .004, respectively). We observed an across-gene BDNF-NTRK2 SNP interaction for rs4923468 and rs1387926. No robust interaction of associated SNPs was found in an analysis of BDNF serum protein levels as a predictor for treatment outcome in a subset of 93 patients. Conclusions/Limitations: Although not all associations in the discovery analysis could be unambiguously replicated, the findings of the present study identified single nucleotide variations in the BDNF and NTRK2 genes that might be involved in antidepressant treatment outcome and that have not been previously reported in this context. These new variants need further validation in future association studies. KW - brain KW - bipolar disorder KW - mood disorder KW - treatment response KW - genome-wide association KW - major depressive disorder KW - neurotrophic factor gene KW - VAL66MET polymorphism KW - sequence variations KW - messenger RNA Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-130924 VL - 8 IS - 6 ER -