TY - JOUR A1 - Palladino, Viola Stella A1 - Chiocchetti, Andreas G. A1 - Frank, Lukas A1 - Haslinger, Denise A1 - McNeill, Rhiannon A1 - Radtke, Franziska A1 - Till, Andreas A1 - Haupt, Simone A1 - Brüstle, Oliver A1 - Günther, Katharina A1 - Edenhofer, Frank A1 - Hoffmann, Per A1 - Reif, Andreas A1 - Kittel-Schneider, Sarah T1 - Energy metabolism disturbances in cell models of PARK2 CNV carriers with ADHD JF - Journal of Clinical Medicine N2 - The main goal of the present study was the identification of cellular phenotypes in attention-deficit-/hyperactivity disorder (ADHD) patient-derived cellular models from carriers of rare copy number variants (CNVs) in the PARK2 locus that have been previously associated with ADHD. Human-derived fibroblasts (HDF) were cultured and human-induced pluripotent stem cells (hiPSC) were reprogrammed and differentiated into dopaminergic neuronal cells (mDANs). A series of assays in baseline condition and in different stress paradigms (nutrient deprivation, carbonyl cyanide m-chlorophenyl hydrazine (CCCP)) focusing on mitochondrial function and energy metabolism (ATP production, basal oxygen consumption rates, reactive oxygen species (ROS) abundance) were performed and changes in mitochondrial network morphology evaluated. We found changes in PARK2 CNV deletion and duplication carriers with ADHD in PARK2 gene and protein expression, ATP production and basal oxygen consumption rates compared to healthy and ADHD wildtype control cell lines, partly differing between HDF and mDANs and to some extent enhanced in stress paradigms. The generation of ROS was not influenced by the genotype. Our preliminary work suggests an energy impairment in HDF and mDAN cells of PARK2 CNV deletion and duplication carriers with ADHD. The energy impairment could be associated with the role of PARK2 dysregulation in mitochondrial dynamics. KW - ADHD KW - hiPSC KW - PARK2 KW - mitochondria KW - disease modelling Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-220074 SN - 2077-0383 VL - 9 IS - 12 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 - Mitchell, Jonathan S. A1 - Li, Ni A1 - Weinhold, Niels A1 - Försti, Asta A1 - Ali, Mina A1 - van Duin, Mark A1 - Thorleifsson, Gudmar A1 - Johnson, David C. A1 - Chen, Bowang A1 - Halvarsson, Britt-Marie A1 - Gudbjartsson, Daniel F. A1 - Kuiper, Rowan A1 - Stephens, Owen W. A1 - Bertsch, Uta A1 - Broderick, Peter A1 - Campo, Chiara A1 - Einsele, Hermann A1 - Gregory, Walter A. A1 - Gullberg, Urban A1 - Henrion, Marc A1 - Hillengass, Jens A1 - Hoffmann, Per A1 - Jackson, Graham H. A1 - Johnsson, Ellinor A1 - Jöud, Magnus A1 - Kristinsson, Sigurdur Y. A1 - Lenhoff, Stig A1 - Lenive, Oleg A1 - Mellqvist, Ulf-Henrik A1 - Migliorini, Gabriele A1 - Nahi, Hareth A1 - Nelander, Sven A1 - Nickel, Jolanta A1 - Nöthen, Markus M. A1 - Rafnar, Thorunn A1 - Ross, Fiona M. A1 - da Silva Filho, Miguel Inacio A1 - Swaminathan, Bhairavi A1 - Thomsen, Hauke A1 - Turesson, Ingemar A1 - Vangsted, Annette A1 - Vogel, Ulla A1 - Waage, Anders A1 - Walker, Brian A. A1 - Wihlborg, Anna-Karin A1 - Broyl, Annemiek A1 - Davies, Faith E. A1 - Thorsteinsdottir, Unnur A1 - Langer, Christian A1 - Hansson, Markus A1 - Kaiser, Martin A1 - Sonneveld, Pieter A1 - Stefansson, Kari A1 - Morgan, Gareth J. A1 - Goldschmidt, Hartmut A1 - Hemminki, Kari A1 - Nilsson, Björn A1 - Houlston, Richard S. T1 - Genome-wide association study identifies multiple susceptibility loci for multiple myeloma JF - Nature Communications N2 - Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power to discover risk loci. Here we perform a meta-analysis of these GWAS, add a new GWAS and perform replication analyses resulting in 9,866 cases and 239,188 controls. We confirm all nine known risk loci and discover eight new loci at 6p22.3 (rs34229995, P=1.31 × 10−8), 6q21 (rs9372120, P=9.09 × 10−15), 7q36.1 (rs7781265, P=9.71 × 10−9), 8q24.21 (rs1948915, P=4.20 × 10−11), 9p21.3 (rs2811710, P=1.72 × 10−13), 10p12.1 (rs2790457, P=1.77 × 10−8), 16q23.1 (rs7193541, P=5.00 × 10−12) and 20q13.13 (rs6066835, P=1.36 × 10−13), which localize in or near to JARID2, ATG5, SMARCD3, CCAT1, CDKN2A, WAC, RFWD3 and PREX1. These findings provide additional support for a polygenic model of MM and insight into the biological basis of tumour development. KW - Cancer genetics KW - Genome-wide association studies KW - Myeloma Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-165983 VL - 7 ER -