Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Helmut Vedder is active.

Publication


Featured researches published by Helmut Vedder.


Nature Communications | 2014

Genome-wide association study reveals two new risk loci for bipolar disorder

Thomas W. Muehleisen; Markus Leber; Thomas G. Schulze; Jana Strohmaier; Franziska Degenhardt; Manuel Mattheisen; Andreas J. Forstner; Johannes Schumacher; René Breuer; Sandra Meier; Stefan Herms; Per Hoffmann; André Lacour; Stephanie H. Witt; Andreas Reif; Bertram Müller-Myhsok; Susanne Lucae; Wolfgang Maier; Markus J. Schwarz; Helmut Vedder; Jutta Kammerer-Ciernioch; Andrea Pfennig; Michael Bauer; Martin Hautzinger; Susanne Moebus; Lutz Priebe; Piotr M. Czerski; Joanna Hauser; Jolanta Lissowska; Neonila Szeszenia-Dabrowska

Bipolar disorder (BD) is a common and highly heritable mental illness and genome-wide association studies (GWAS) have robustly identified the first common genetic variants involved in disease aetiology. The data also provide strong evidence for the presence of multiple additional risk loci, each contributing a relatively small effect to BD susceptibility. Large samples are necessary to detect these risk loci. Here we present results from the largest BD GWAS to date by investigating 2.3 million single-nucleotide polymorphisms (SNPs) in a sample of 24,025 patients and controls. We detect 56 genome-wide significant SNPs in five chromosomal regions including previously reported risk loci ANK3, ODZ4 and TRANK1, as well as the risk locus ADCY2 (5p15.31) and a region between MIR2113 and POU3F2 (6q16.1). ADCY2 is a key enzyme in cAMP signalling and our finding provides new insights into the biological mechanisms involved in the development of BD.


Translational Psychiatry | 2015

Genome-wide analysis implicates microRNAs and their target genes in the development of bipolar disorder

Andreas J. Forstner; Andrea Hofmann; Anna Maaser; S Sumer; Sharof Khudayberdiev; Thomas W. Mühleisen; Markus Leber; Thomas G. Schulze; Jana Strohmaier; Franziska Degenhardt; J Treutlein; Manuel Mattheisen; Johannes Schumacher; René Breuer; Sandra Meier; Stefan Herms; Per Hoffmann; A Lacour; Stephanie H. Witt; Andreas Reif; Bertram Müller-Myhsok; Susanne Lucae; W. Maier; Markus Schwarz; Helmut Vedder; Jutta Kammerer-Ciernioch; Andrea Pfennig; Michael Bauer; Martin Hautzinger; Susanne Moebus

Bipolar disorder (BD) is a severe and highly heritable neuropsychiatric disorder with a lifetime prevalence of 1%. Molecular genetic studies have identified the first BD susceptibility genes. However, the disease pathways remain largely unknown. Accumulating evidence suggests that microRNAs, a class of small noncoding RNAs, contribute to basic mechanisms underlying brain development and plasticity, suggesting their possible involvement in the pathogenesis of several psychiatric disorders, including BD. In the present study, gene-based analyses were performed for all known autosomal microRNAs using the largest genome-wide association data set of BD to date (9747 patients and 14 278 controls). Associated and brain-expressed microRNAs were then investigated in target gene and pathway analyses. Functional analyses of miR-499 and miR-708 were performed in rat hippocampal neurons. Ninety-eight of the six hundred nine investigated microRNAs showed nominally significant P-values, suggesting that BD-associated microRNAs might be enriched within known microRNA loci. After correction for multiple testing, nine microRNAs showed a significant association with BD. The most promising were miR-499, miR-708 and miR-1908. Target gene and pathway analyses revealed 18 significant canonical pathways, including brain development and neuron projection. For miR-499, four Bonferroni-corrected significant target genes were identified, including the genome-wide risk gene for psychiatric disorder CACNB2. First results of functional analyses in rat hippocampal neurons neither revealed nor excluded a major contribution of miR-499 or miR-708 to dendritic spine morphogenesis. The present results suggest that research is warranted to elucidate the precise involvement of microRNAs and their downstream pathways in BD.


PLOS ONE | 2017

Identification of shared risk loci and pathways for bipolar disorder and schizophrenia

Andreas J. Forstner; Julian Hecker; Andrea Hofmann; Anna Maaser; Céline S. Reinbold; Thomas W. Mühleisen; Markus Leber; Jana Strohmaier; Franziska Degenhardt; Manuel Mattheisen; Johannes Schumacher; Fabian Streit; Sandra Meier; Stefan Herms; Per Hoffmann; André Lacour; Stephanie H. Witt; Andreas Reif; Bertram Müller-Myhsok; Susanne Lucae; Wolfgang Maier; Markus Schwarz; Helmut Vedder; Jutta Kammerer-Ciernioch; Andrea Pfennig; Michael Bauer; Martin Hautzinger; Susanne Moebus; Lorena M. Schenk; Sascha B. Fischer

Bipolar disorder (BD) is a highly heritable neuropsychiatric disease characterized by recurrent episodes of mania and depression. BD shows substantial clinical and genetic overlap with other psychiatric disorders, in particular schizophrenia (SCZ). The genes underlying this etiological overlap remain largely unknown. A recent SCZ genome wide association study (GWAS) by the Psychiatric Genomics Consortium identified 128 independent genome-wide significant single nucleotide polymorphisms (SNPs). The present study investigated whether these SCZ-associated SNPs also contribute to BD development through the performance of association testing in a large BD GWAS dataset (9747 patients, 14278 controls). After re-imputation and correction for sample overlap, 22 of 107 investigated SCZ SNPs showed nominal association with BD. The number of shared SCZ-BD SNPs was significantly higher than expected (p = 1.46x10-8). This provides further evidence that SCZ-associated loci contribute to the development of BD. Two SNPs remained significant after Bonferroni correction. The most strongly associated SNP was located near TRANK1, which is a reported genome-wide significant risk gene for BD. Pathway analyses for all shared SCZ-BD SNPs revealed 25 nominally enriched gene-sets, which showed partial overlap in terms of the underlying genes. The enriched gene-sets included calcium- and glutamate signaling, neuropathic pain signaling in dorsal horn neurons, and calmodulin binding. The present data provide further insights into shared risk loci and disease-associated pathways for BD and SCZ. This may suggest new research directions for the treatment and prevention of these two major psychiatric disorders.


Molecular Psychiatry | 2018

The protocadherin 17 gene affects cognition, personality, amygdala structure and function, synapse development and risk of major mood disorders

Hsing-Yi Chang; Naosuke Hoshina; Chen Zhang; Yina Ma; H Cao; Yunfei Wang; D-d Wu; Sarah E. Bergen; Mikael Landén; C. M. Hultman; Martin Preisig; Zoltán Kutalik; Enrique Castelao; Maria Grigoroiu-Serbanescu; Andreas J. Forstner; Jana Strohmaier; Julian Hecker; Thomas G. Schulze; Bertram Müller-Myhsok; Andreas Reif; Philip B. Mitchell; Nicholas G. Martin; Peter R. Schofield; S. Cichon; M. M. Nöthen; Lena Backlund; Louise Frisén; Catharina Lavebratt; Martin Schalling; Urban Ösby

Major mood disorders, which primarily include bipolar disorder and major depressive disorder, are the leading cause of disability worldwide and pose a major challenge in identifying robust risk genes. Here, we present data from independent large-scale clinical data sets (including 29 557 cases and 32 056 controls) revealing brain expressed protocadherin 17 (PCDH17) as a susceptibility gene for major mood disorders. Single-nucleotide polymorphisms (SNPs) spanning the PCDH17 region are significantly associated with major mood disorders; subjects carrying the risk allele showed impaired cognitive abilities, increased vulnerable personality features, decreased amygdala volume and altered amygdala function as compared with non-carriers. The risk allele predicted higher transcriptional levels of PCDH17 mRNA in postmortem brain samples, which is consistent with increased gene expression in patients with bipolar disorder compared with healthy subjects. Further, overexpression of PCDH17 in primary cortical neurons revealed significantly decreased spine density and abnormal dendritic morphology compared with control groups, which again is consistent with the clinical observations of reduced numbers of dendritic spines in the brains of patients with major mood disorders. Given that synaptic spines are dynamic structures which regulate neuronal plasticity and have crucial roles in myriad brain functions, this study reveals a potential underlying biological mechanism of a novel risk gene for major mood disorders involved in synaptic function and related intermediate phenotypes.


Journal of Affective Disorders | 2018

Gene set enrichment analysis and expression pattern exploration implicate an involvement of neurodevelopmental processes in bipolar disorder.

Thomas W. Mühleisen; Céline S. Reinbold; Andreas J. Forstner; L. I. Abramova; Martin Alda; Gulja Babadjanova; Michael Bauer; Paul Brennan; Alexander Chuchalin; Cristiana Cruceanu; Piotr M. Czerski; Franziska Degenhardt; Sascha B. Fischer; Janice M. Fullerton; Scott D. Gordon; Maria Grigoroiu-Serbanescu; Paul Grof; Joanna Hauser; Martin Hautzinger; Stefan Herms; Per Hoffmann; Jutta Kammerer-Ciernioch; Elza Khusnutdinova; Manolis Kogevinas; Valery Krasnov; André Lacour; Catherine Laprise; Markus Leber; Jolanta Lissowska; Susanne Lucae

BACKGROUND Bipolar disorder (BD) is a common and highly heritable disorder of mood. Genome-wide association studies (GWAS) have identified several independent susceptibility loci. In order to extract more biological information from GWAS data, multi-locus approaches represent powerful tools since they utilize knowledge about biological processes to integrate functional sets of genes at strongly to moderately associated loci. METHODS We conducted gene set enrichment analyses (GSEA) using 2.3 million single-nucleotide polymorphisms, 397 Reactome pathways and 24,025 patients with BD and controls. RNA expression of implicated individual genes and gene sets were examined in post-mortem brains across lifespan. RESULTS Two pathways showed a significant enrichment after correction for multiple comparisons in the GSEA: GRB2 events in ERBB2 signaling, for which 6 of 21 genes were BD associated (PFDR = 0.0377), and NCAM signaling for neurite out-growth, for which 11 out of 62 genes were BD associated (PFDR = 0.0451). Most pathway genes showed peaks of RNA co-expression during fetal development and infancy and mapped to neocortical areas and parts of the limbic system. LIMITATIONS Pathway associations were technically reproduced by two methods, although they were not formally replicated in independent samples. Gene expression was explored in controls but not in patients. CONCLUSIONS Pathway analysis in large GWAS data of BD and follow-up of gene expression patterns in healthy brains provide support for an involvement of neurodevelopmental processes in the etiology of this neuropsychiatric disease. Future studies are required to further evaluate the relevance of the implicated genes on pathway functioning and clinical aspects of BD.


American Journal of Human Genetics | 2011

Genome-wide Association Study Identifies Genetic Variation in Neurocan as a Susceptibility Factor for Bipolar Disorder

Sven Cichon; Thomas W. Mühleisen; Franziska Degenhardt; Manuel Mattheisen; Xavier Miró; Jana Strohmaier; Michael Steffens; Christian Meesters; Stefan Herms; Moritz Weingarten; Lutz Priebe; Britta Haenisch; Michael Alexander; Jennifer Vollmer; René Breuer; Christine Schmäl; Peter Tessmann; Susanne Moebus; H.-Erich Wichmann; Stefan Schreiber; Bertram Müller-Myhsok; Susanne Lucae; Stéphane Jamain; Marion Leboyer; Frank Bellivier; Bruno Etain; Chantal Henry; Jean-Pierre Kahn; Simon Heath; Marian Lindsay Hamshere


American Journal of Human Genetics | 2011

Genome-wide association study identifies genetic variation in neurocan as a susceptibility factor for bipolar disorder (The American Journal of Human Genetics (2011) 88, (372-381))

Sven Cichon; Thomas W. Mühleisen; Franziska Degenhardt; Manuel Mattheisen; Xavier Miró; Jana Strohmaier; Michael Steffens; Christian Meesters; Stefan Herms; Moritz Weingarten; Lutz Priebe; Britta Haenisch; Michael Alexander; Jennifer Vollmer; René Breuer; Christine Schmäl; Peter Tessmann; Susanne Moebus; H.-Erich Wichmann; Stefan Schreiber; Bertram Müller-Myhsok; Susanne Lucae; Stéphane Jamain; Marion Leboyer; Frank Bellivier; Bruno Etain; Chantal Henry; Jean Pierre Kahn; Simon Heath; Marian Lindsay Hamshere


American Journal of Human Genetics | 2011

Genome-wide Association Study Identifies Genetic Variation in Neurocan as a Susceptibility Factor for Bipolar Disorder (vol 88, pg 372, 2011)

S. Cichon; Thomas W. Muehleisen; Franziska Degenhardt; Manuel Mattheisen; Xavier Miró; Jana Strohmaier; Michael Steffens; Christian Meesters; Stefan Herms; Moritz Weingarten; Lutz Priebe; Britta Haenisch; M. Alexander; Jennifer Vollmer; René Breuer; Christine Schmäl; Peter Tessmann; Susanne Moebus; H-Erich Wichmann; Stefan Schreiber; Bertram Müller-Myhsok; Susanne Lucae; Stéphane Jamain; Marion Leboyer; Frank Bellivier; Bruno Etain; Chantal Henry; Jean-Pierre Kahn; Simon Heath; Marian Lindsay Hamshere


Alpha Omegan | 2011

Genome-wide Association Study Identifies Genetic Variation in Neurocan as a Susceptibility Factor fo

Sven Cichon; Manuel Mattheisen; Xavier Miró; Jana Strohmaier; Michael Steffens; Christian Meesters; Stefan Herms; Moritz Weingarten; Lutz Priebe; Britta Haenisch; Michael Alexander; Jennifer Vollmer; René Breuer; Christine Schmäl; Peter Tessmann; Susanne Moebus; H.-Erich Wichmann; Stefan Schreiber; Bertram Müller-Myhsok; Susanne Lucae; Stéphane Jamain; Marion Leboyer; Frank Bellivier; Bruno Etain; Chantal Henry; Jean-Pierre Kahn; Simon Heath; Marian Lindsay Hamshere; Michael Conlon O'Donovan; Michael John Owen

Collaboration


Dive into the Helmut Vedder's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Susanne Moebus

University of Duisburg-Essen

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge