TY  - JOUR
A1  - Jarick, I.
A1  - Volckmar, A. L.
A1  - Pütter, C.
A1  - Pechlivanis, S.
A1  - Nguyen, T. T.
A1  - Dauvermann, M. R.
A1  - Beck, S.
A1  - Albayrak, Ö.
A1  - Scherag, S.
A1  - Gilsbach, S.
A1  - Cichon, S.
A1  - Hoffmann, P.
A1  - Degenhardt, F.
A1  - Nöthen, M. M.
A1  - Schreiber, S.
A1  - Wichmann, H. E.
A1  - Jöckel, K. H.
A1  - Heinrich, J.
A1  - Tiesler, C. M. T.
A1  - Faraone, S. V.
A1  - Walitza, S.
A1  - Sinzig, J.
A1  - Freitag, C.
A1  - Meyer, J.
A1  - Herpertz-Dahlmann, B.
A1  - Lehmkuhl, G.
A1  - Renner, T. J.
A1  - Warnke, A.
A1  - Romanos, M.
A1  - Lesch, K. P.
A1  - Reif, A.
A1  - Schimmelmann, B. G.
A1  - Hebebrand, J.
A1  - Scherag, A.
A1  - Hinney, A.
T1  - Genome-wide analysis of rare copy number variations reveals PARK2 as a candidate gene for attention-deficit/hyperactivity disorder
JF  - Molecular Psychiatry
N2  - Attention-deficit/hyperactivity disorder (ADHD) is a common, highly heritable neurodevelopmental disorder. Genetic loci have not yet been identified by genome-wide association studies. Rare copy number variations (CNVs), such as chromosomal deletions or duplications, have been implicated in ADHD and other neurodevelopmental disorders. To identify rare (frequency ≤1%) CNVs that increase the risk of ADHD, we performed a whole-genome CNV analysis based on 489 young ADHD patients and 1285 adult population-based controls and identified one significantly associated CNV region. In tests for a global burden of large (>500 kb) rare CNVs, we observed a nonsignificant (P=0.271) 1.126-fold enriched rate of subjects carrying at least one such CNV in the group of ADHD cases. Locus-specific tests of association were used to assess if there were more rare CNVs in cases compared with controls. Detected CNVs, which were significantly enriched in the ADHD group, were validated by quantitative (q)PCR. Findings were replicated in an independent sample of 386 young patients with ADHD and 781 young population-based healthy controls. We identified rare CNVs within the parkinson protein 2 gene (PARK2) with a significantly higher prevalence in ADHD patients than in controls \((P=2.8 × 10^{-4})\) after empirical correction for genome-wide testing). In total, the PARK2 locus (chr 6: 162 659 756-162 767 019) harboured three deletions and nine duplications in the ADHD patients and two deletions and two duplications in the controls. By qPCR analysis, we validated 11 of the 12 CNVs in ADHD patients \((P=1.2 × 10^{-3})\) after empirical correction for genome-wide testing). In the replication sample, CNVs at the PARK2 locus were found in four additional ADHD patients and one additional control \((P=4.3 × 10^{-2})\). Our results suggest that copy number variants at the PARK2 locus contribute to the genetic susceptibility of ADHD. Mutations and CNVs in PARK2 are known to be associated with Parkinson disease.
KW  - children
KW  - ADHD
KW  - CNVs
KW  - GWAS
KW  - PARK2
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-121131
VL  - 19
IS  - 19
ER  - 
TY  - JOUR
A1  - Ludwig, K. U.
A1  - Sämann, P.
A1  - Alexander, M.
A1  - Becker, J.
A1  - Bruder, J.
A1  - Moll, K.
A1  - Spieler, D.
A1  - Czisch, M.
A1  - Warnke, A.
A1  - Docherty, S. J.
A1  - Davis, O. S. P.
A1  - Plomin, R.
A1  - Nöthen, M. M.
A1  - Landerl, K.
A1  - Müller-Myhsok, B.
A1  - Hoffmann, P.
A1  - Schumacher, J.
A1  - Schulte-Körne, G.
A1  - Czamara, D.
T1  - A common variant in Myosin-18B contributes to mathematical abilities in children with dyslexia and intraparietal sulcus variability in adults
JF  - Translational Psychiatry
N2  - The ability to perform mathematical tasks is required in everyday life. Although heritability estimates suggest a genetic contribution, no previous study has conclusively identified a genetic risk variant for mathematical performance. Research has shown that the prevalence of mathematical disabilities is increased in children with dyslexia. We therefore correlated genome-wide data of 200 German children with spelling disability, with available quantitative data on mathematic ability. Replication of the top findings in additional dyslexia samples revealed that rs133885 was a genome-wide significant marker for mathematical abilities\((P_{comb}=7.71 x 10^{-10}, n=699)\), with an effect size of 4.87%. This association was also found in a sample from the general population (P=0.048, n=1080), albeit with a lower effect size. The identified variant encodes an amino-acid substitution in MYO18B, a protein with as yet unknown functions in the brain. As areas of the parietal cortex, in particular the intraparietal sulcus (IPS), are involved in numerical processing in humans, we investigated whether rs133885 was associated with IPS morphology using structural magnetic resonance imaging data from 79 neuropsychiatrically healthy adults. Carriers of the MYO18B risk-genotype displayed a significantly lower depth of the right IPS. This validates the identified association between rs133885 and mathematical disability at the level of a specific intermediate phenotype.
KW  - disability
KW  - sulcal morphology
KW  - prelevance
KW  - identification
KW  - brain
KW  - cancer
KW  - association
KW  - developmental dyscalculia
KW  - tumor-suppressor gene
KW  - correlate
KW  - disorders
KW  - dyscalculia
KW  - dyslexia
KW  - genomic imaging
KW  - mathematics
KW  - quantitative trait
Y1  - 2013
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-131513
N1  - Supplementary Information accompanies the paper on the Translational Psychiatry website (http://www.nature.com/tp).
VL  - 3
IS  - e229
ER  - 
TY  - JOUR
A1  - Havik, Bjarte
A1  - Degenhardt, Franziska A.
A1  - Johansson, Stefan
A1  - Fernandes, Carla P. D.
A1  - Hinney, Anke
A1  - Scherag, André
A1  - Lybaek, Helle
A1  - Djurovic, Srdjan
A1  - Christoforou, Andrea
A1  - Ersland, Kari M.
A1  - Giddaluru, Sudheer
A1  - O'Donovan, Michael C.
A1  - Owen, Michael J.
A1  - Craddock, Nick
A1  - Mühleisen, Thomas W.
A1  - Mattheisen, Manuel
A1  - Schimmelmann, Benno G.
A1  - Renner, Tobias
A1  - Warnke, Andreas
A1  - Herpertz-Dahlmann, Beate
A1  - Sinzig, Judith
A1  - Albayrak, Özgür
A1  - Rietschel, Marcella
A1  - Nöthen, Markus M.
A1  - Bramham, Clive R.
A1  - Werge, Thomas
A1  - Hebebrand, Johannes
A1  - Haavik, Jan
A1  - Andreassen, Ole A.
A1  - Cichon, Sven
A1  - Steen, Vidar M.
A1  - Le Hellard, Stephanie
T1  - DCLK1 Variants Are Associated across Schizophrenia and Attention Deficit/Hyperactivity Disorder
JF  - PLoS One
N2  - Doublecortin and calmodulin like kinase 1 (DCLK1) is implicated in synaptic plasticity and neurodevelopment. Genetic variants in DCLK1 are associated with cognitive traits, specifically verbal memory and general cognition. We investigated the role of DCLK1 variants in three psychiatric disorders that have neuro-cognitive dysfunctions: schizophrenia (SCZ), bipolar affective disorder (BP) and attention deficit/hyperactivity disorder (ADHD). We mined six genome wide association studies (GWASs) that were available publically or through collaboration; three for BP, two for SCZ and one for ADHD. We also genotyped the DCLK1 region in additional samples of cases with SCZ, BP or ADHD and controls that had not been whole-genome typed. In total, 9895 subjects were analysed, including 5308 normal controls and 4,587 patients (1,125 with SCZ, 2,496 with BP and 966 with ADHD). Several DCLK1 variants were associated with disease phenotypes in the different samples. The main effect was observed for rs7989807 in intron 3, which was strongly associated with SCZ alone and even more so when cases with SCZ and ADHD were combined (P-value = 4x10\(^{-5}\) and 4x10\(^{-6}\), respectively). Associations were also observed with additional markers in intron 3 (combination of SCZ, ADHD and BP), intron 19 (SCZ+BP) and the 3'UTR (SCZ+BP). Our results suggest that genetic variants in DCLK1 are associated with SCZ and, to a lesser extent, with ADHD and BP. Interestingly the association is strongest when SCZ and ADHD are considered together, suggesting common genetic susceptibility. Given that DCLK1 variants were previously found to be associated with cognitive traits, these results are consistent with the role of DCLK1 in neurodevelopment and synaptic plasticity.
KW  - psychosis
KW  - deficit hyperactivity disorder
KW  - genome-wide association
KW  - bipolar disorder
KW  - VAL66MET polymorphism
KW  - doublecortine-like
KW  - genes
KW  - kinase
KW  - BDNF
KW  - endophenotype
Y1  - 2012
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-135285
VL  - 7
IS  - 4
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  - 
TY  - JOUR
A1  - Marenholz, Ingo
A1  - Esparza-Gordillo, Jorge
A1  - Rüschendorf, Franz
A1  - Bauerfeind, Anja
A1  - Strachan, David P.
A1  - Spycher, Ben D.
A1  - Baurecht, Hansjörg
A1  - Magaritte-Jeannin, Patricia
A1  - Sääf, Annika
A1  - Kerkhof, Marjan
A1  - Ege, Markus
A1  - Baltic, Svetlana
A1  - Matheson, Melanie C.
A1  - Li, Jin
A1  - Michel, Sven
A1  - Ang, Wei Q.
A1  - McArdle, Wendy
A1  - Arnold, Andreas
A1  - Homuth, Georg
A1  - Demenais, Florence
A1  - Bouzigon, Emmanuelle
A1  - Söderhäll, Cilla
A1  - Pershagen, Göran
A1  - de Jongste, Johan C.
A1  - Postma, Dirkje S.
A1  - Braun-Fahrländer, Charlotte
A1  - Horak, Elisabeth
A1  - Ogorodova, Ludmila M.
A1  - Puzyrev, Valery P.
A1  - Bragina, Elena Yu
A1  - Hudson, Thomas J.
A1  - Morin, Charles
A1  - Duffy, David L.
A1  - Marks, Guy B.
A1  - Robertson, Colin F.
A1  - Montgomery, Grant W.
A1  - Musk, Bill
A1  - Thompson, Philip J.
A1  - Martin, Nicholas G.
A1  - James, Alan
A1  - Sleiman, Patrick
A1  - Toskala, Elina
A1  - Rodriguez, Elke
A1  - Fölster-Holst, Regina
A1  - Franke, Andre
A1  - Lieb, Wolfgang
A1  - Gieger, Christian
A1  - Heinzmann, Andrea
A1  - Rietschel, Ernst
A1  - Keil, Thomas
A1  - Cichon, Sven
A1  - Nöthen, Markus M.
A1  - Pennel, Craig E.
A1  - Sly, Peter D.
A1  - Schmidt, Carsten O.
A1  - Matanovic, Anja
A1  - Schneider, Valentin
A1  - Heinig, Matthias
A1  - Hübner, Norbert
A1  - Holt, Patrick G.
A1  - Lau, Susanne
A1  - Kabesch, Michael
A1  - Weidinger, Stefan
A1  - Hakonarson, Hakon
A1  - Ferreira, Manuel A. R.
A1  - Laprise, Catherine
A1  - Freidin, Maxim B.
A1  - Genuneit, Jon
A1  - Koppelman, Gerard H.
A1  - Melén, Erik
A1  - Dizier, Marie-Hélène
A1  - Henderson, A. John
A1  - Lee, Young Ae
T1  - Meta-analysis identifies seven susceptibility loci involved in the atopic march
JF  - Nature Communications
N2  - Eczema often precedes the development of asthma in a disease course called the 'atopic march'. To unravel the genes underlying this characteristic pattern of allergic disease, we conduct a multi-stage genome-wide association study on infantile eczema followed by childhood asthma in 12 populations including 2,428 cases and 17,034 controls. Here we report two novel loci specific for the combined eczema plus asthma phenotype, which are associated with allergic disease for the first time; rs9357733 located in EFHC1 on chromosome 6p12.3 (OR 1.27; P = 2.1 x 10(-8)) and rs993226 between TMTC2 and SLC6A15 on chromosome 12q21.3 (OR 1.58; P = 5.3 x 10(-9)). Additional susceptibility loci identified at genome-wide significance are FLG (1q21.3), IL4/KIF3A (5q31.1), AP5B1/OVOL1 (11q13.1), C11orf30/LRRC32 (11q13.5) and IKZF3 (17q21). We show that predominantly eczema loci increase the risk for the atopic march. Our findings suggest that eczema may play an important role in the development of asthma after eczema.
KW  - chromosome 11Q13
KW  - risk
KW  - genomewide association
KW  - hay fever
KW  - birth cohort
KW  - filaggrin mutations
KW  - food allergy
KW  - juvenile myoclonic epilepsy
KW  - childhood asthma
KW  - dermatitis
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-139835
VL  - 6
IS  - 8804
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  - Breuer, René
A1  - Mattheisen, Manuel
A1  - Frank, Josef
A1  - Krumm, Bertram
A1  - Treutlein, Jens
A1  - Kassem, Layla
A1  - Strohmaier, Jana
A1  - Herms, Stefan
A1  - Mühleisen, Thomas W.
A1  - Degenhardt, Franziska
A1  - Cichon, Sven
A1  - Nöthen, Markus M.
A1  - Karypis, George
A1  - Kelsoe, John
A1  - Greenwood, Tiffany
A1  - Nievergelt, Caroline
A1  - Shilling, Paul
A1  - Shekhtman, Tatyana
A1  - Edenberg, Howard
A1  - Craig, David
A1  - Szelinger, Szabolcs
A1  - Nurnberger, John
A1  - Gershon, Elliot
A1  - Alliey-Rodriguez, Ney
A1  - Zandi, Peter
A1  - Goes, Fernando
A1  - Schork, Nicholas
A1  - Smith, Erin
A1  - Koller, Daniel
A1  - Zhang, Peng
A1  - Badner, Judith
A1  - Berrettini, Wade
A1  - Bloss, Cinnamon
A1  - Byerley, William
A1  - Coryell, William
A1  - Foroud, Tatiana
A1  - Guo, Yirin
A1  - Hipolito, Maria
A1  - Keating, Brendan
A1  - Lawson, William
A1  - Liu, Chunyu
A1  - Mahon, Pamela
A1  - McInnis, Melvin
A1  - Murray, Sarah
A1  - Nwulia, Evaristus
A1  - Potash, James
A1  - Rice, John
A1  - Scheftner, William
A1  - Zöllner, Sebastian
A1  - McMahon, Francis J.
A1  - Rietschel, Marcella
A1  - Schulze, Thomas G.
T1  - Detecting significant genotype–phenotype association rules in bipolar disorder: market research meets complex genetics
JF  - International Journal of Bipolar Disorders
N2  - Background
Disentangling the etiology of common, complex diseases is a major challenge in genetic research. For bipolar disorder (BD), several genome-wide association studies (GWAS) have been performed. Similar to other complex disorders, major breakthroughs in explaining the high heritability of BD through GWAS have remained elusive. To overcome this dilemma, genetic research into BD, has embraced a variety of strategies such as the formation of large consortia to increase sample size and sequencing approaches. Here we advocate a complementary approach making use of already existing GWAS data: a novel data mining procedure to identify yet undetected genotype–phenotype relationships. We adapted association rule mining, a data mining technique traditionally used in retail market research, to identify frequent and characteristic genotype patterns showing strong associations to phenotype clusters. We applied this strategy to three independent GWAS datasets from 2835 phenotypically characterized patients with BD. In a discovery step, 20,882 candidate association rules were extracted.

Results
Two of these rules—one associated with eating disorder and the other with anxiety—remained significant in an independent dataset after robust correction for multiple testing. Both showed considerable effect sizes (odds ratio ~ 3.4 and 3.0, respectively) and support previously reported molecular biological findings.

Conclusion
Our approach detected novel specific genotype–phenotype relationships in BD that were missed by standard analyses like GWAS. While we developed and applied our method within the context of BD gene discovery, it may facilitate identifying highly specific genotype–phenotype relationships in subsets of genome-wide data sets of other complex phenotype with similar epidemiological properties and challenges to gene discovery efforts.
KW  - bipolar disorder
KW  - subphenotypes
KW  - rule discovery
KW  - data mining
KW  - genotype-phenotype patterns
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-220509
VL  - 6
ER  -