TY - JOUR A1 - Biernacka, J. M. A1 - Sangkuhl, K. A1 - Jenkins, G. A1 - Whaley, R. M. A1 - Barman, P. A1 - Batzler, A. A1 - Altman, R. B. A1 - Arolt, V. A1 - Brockmöller, J. A1 - Chen, C. H. A1 - Domschke, K. A1 - Hall-Flavin, D. K. A1 - Hong, C. J. A1 - Illi, A. A1 - Ji, Y. A1 - Kampman, O. A1 - Kinoshita, T. A1 - Leinonen, E. A1 - Liou, Y. J. A1 - Mushiroda, T. A1 - Nonen, S. A1 - Skime, M. K. A1 - Wang, L. A1 - Baune, B. T. A1 - Kato, M. A1 - Liu, Y. L. A1 - Praphanphoj, V. A1 - Stingl, J. C. A1 - Tsai, S. J. A1 - Kubo, M. A1 - Klein, T. E. A1 - Weinshilboum, R. T1 - The International SSRI Pharmacogenomics Consortium (ISPC): a genome-wide association study of antidepressant treatment response JF - Translational Psychiatry N2 - Response to treatment with selective serotonin reuptake inhibitors (SSRIs) varies considerably between patients. The International SSRI Pharmacogenomics Consortium (ISPC) was formed with the primary goal of identifying genetic variation that may contribute to response to SSRI treatment of major depressive disorder. A genome-wide association study of 4-week treatment outcomes, measured using the 17-item Hamilton Rating Scale for Depression (HRSD-17), was performed using data from 865 subjects from seven sites. The primary outcomes were percent change in HRSD-17 score and response, defined as at least 50% reduction in HRSD-17. Data from two prior studies, the Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomics Study (PGRN-AMPS) and the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, were used for replication, and a meta-analysis of the three studies was performed (N = 2394). Although many top association signals in the ISPC analysis map to interesting candidate genes, none were significant at the genome-wide level and the associations were not replicated using PGRN-AMPS and STAR*D data. Top association results in the meta-analysis of response included single-nucleotide polymorphisms (SNPs) in the HPRTP4 (hypoxanthine phosphoribosyltransferase pseudogene 4)/VSTM5 (V-set and transmembrane domain containing 5) region, which approached genome-wide significance (P = 5.03E - 08) and SNPs 5' upstream of the neuregulin-1 gene, NRG1 (P = 1.20E - 06). NRG1 is involved in many aspects of brain development, including neuronal maturation and variations in this gene have been shown to be associated with increased risk for mental disorders, particularly schizophrenia. Replication and functional studies of these findings are warranted. KW - major depressive disorder KW - genetic variation KW - schizophrenia KW - neuregulin-1 KW - population KW - microcephalin 1 KW - susceptibility KW - metaanalysis KW - MCPH1 KW - loci Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-143223 VL - 5 IS - e553 ER - TY - JOUR A1 - Leich, E. A1 - Weißbach, S. A1 - Klein, H.-U. A1 - Grieb, T. A1 - Pischimarov, J. A1 - Stühmer, T. A1 - Chatterjee, M. A1 - Steinbrunn, T. A1 - Langer, C. A1 - Eilers, M. A1 - Knop, S. A1 - Einsele, H. A1 - Bargou, R. A1 - Rosenwald, A. T1 - Multiple myeloma is affected by multiple and heterogeneous somatic mutations in adhesion- and receptor tyrosine kinase signaling molecules JF - Blood Cancer Journal N2 - Multiple myeloma (MM) is a largely incurable plasma cell malignancy with a poorly understood and heterogeneous clinical course. To identify potential, functionally relevant somatic mutations in MM, we performed whole-exome sequencing of five primary MM, corresponding germline DNA and six MM cell lines, and developed a bioinformatics strategy that also integrated published mutational data of 38 MM patients. Our analysis confirms that identical, recurrent mutations of single genes are infrequent in MM, but highlights that mutations cluster in important cellular pathways. Specifically, we show enrichment of mutations in adhesion molecules of MM cells, emphasizing the important role for the interaction of the MM cells with their microenvironment. We describe an increased rate of mutations in receptor tyrosine kinases (RTKs) and associated signaling effectors, for example, in EGFR, ERBB3, KRAS and MAP2K2, pointing to a role of aberrant RTK signaling in the development or progression of MM. The diversity of mutations affecting different nodes of a particular signaling network appears to be an intrinsic feature of individual MM samples, and the elucidation of intra- as well as interindividual redundancy in mutations that affect survival pathways will help to better tailor targeted therapeutic strategies to the specific needs of the MM patient. KW - multiple myeloma KW - somatic mutations KW - whole-exome sequencing KW - adhesion KW - receptor tyrosine kinases Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-128663 VL - 3 IS - e102 ER -