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 - Brevik, Erlend J A1 - van Donkelaar, Marjolein M. J. A1 - Weber, Heike A1 - Sánchez-Mora, Cristina A1 - Jacob, Christian A1 - Rivero, Olga A1 - Kittel-Schneider, Sarah A1 - Garcia-martinez, Iris A1 - Aebi, Marcel A1 - van Hulzen, Kimm A1 - Cormand, Bru A1 - Ramos-Quiroga, Josep A A1 - Lesch, Klaus-Peter A1 - Reif, Andreas A1 - Ribases, Marta A1 - Franke, Barbara A1 - Posserud, Maj-Britt A1 - Johansson, Stefan A1 - Lundervold, Astri J. A1 - Haavik, Jan A1 - Zayats, Tetyana T1 - Genome-wide analyses of aggressiveness in attention-deficit hyperactivity disorder JF - American Journal of Medical Genetics Part B-Neuropsychiatric Genetics N2 - Aggressiveness is a behavioral trait that has the potential to be harmful to individuals and society. With an estimated heritability of about 40%, genetics is important in its development. We performed an exploratory genome-wide association (GWA) analysis of childhood aggressiveness in attention deficit hyperactivity disorder (ADHD) to gain insight into the underlying biological processes associated with this trait. Our primary sample consisted of 1,060 adult ADHD patients (aADHD). To further explore the genetic architecture of childhood aggressiveness, we performed enrichment analyses of suggestive genome-wide associations observed in aADHD among GWA signals of dimensions of oppositionality (defiant/vindictive and irritable dimensions) in childhood ADHD (cADHD). No single polymorphism reached genome-wide significance (P<5.00E-08). The strongest signal in aADHD was observed at rs10826548, within a long noncoding RNA gene (beta = -1.66, standard error (SE) = 0.34, P = 1.07E-06), closely followed by rs35974940 in the neurotrimin gene (beta = 3.23, SE = 0.67, P = 1.26E-06). The top GWA SNPs observed in aADHD showed significant enrichment of signals from both the defiant/vindictive dimension (Fisher's P-value = 2.28E-06) and the irritable dimension in cADHD (Fisher's P-value = 0.0061). In sum, our results identify a number of biologically interesting markers possibly underlying childhood aggressiveness and provide targets for further genetic exploration of aggressiveness across psychiatric disorders. KW - Large multicenter ADHD KW - Antisocial behavior KW - Diagnostic approach KW - Rating scale KW - Gene KW - Deficit/hyperactivity disorder KW - Susceptibility loci KW - Conduct disorder KW - Association KW - Adult KW - ADHD KW - Aggression KW - GWAS Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-188116 VL - 171B IS - 5 ER - TY - THES A1 - Freudenthal, Jan Alexander T1 - Quantitative genetics from genome assemblies to neural network aided omics-based prediction of complex traits T1 - Quantitative Genetik von Genomassemblierungen bis zur genomischen Vorhersage von phänotypischen Merkmalen mit Hilfe von künstlichen neuronalen Netzwerken N2 - Quantitative genetics is the study of continuously distributed traits and their ge- netic components. Recent developments in DNA sequencing technologies and computational systems allow researchers to conduct large scale in silico studies. However, going from raw DNA reads to genomic prediction of quantitative traits with the help of neural networks is a long and error-prone process. In the course of this thesis, many steps involved in this process will be assessed in depth. Chap- ter 2 will feature a study that compares the landscape of chloroplast genome as- sembly tools. Chapter 3 will present a software to perform genome-wide associa- tion studies using modern tools, which allow GWAS-Flow to outperform current state of the art software packages. Chapter 4 will give an in depth introduc- tion to machine learning and the nature of quantitative traits and will combine those to genomic prediction with artificial neural networks and compares the re- sults to those of algorithms based on linear mixed models. Finally, in Chapter 5 the results from the previous chapters are summarized and used to elucidate the complex nature of studies concerning quantitative genetics. N2 - Quantitative Genetik beschäftigt sich mit kontinuierlich verteilten Merkmalen und deren genetischer Komponenten. In den letzten Jahren gab es vielfältige Entwicklungen in der Computertechnik und der Genomik, insbesondere der DNA Sequenzierung, was Forschern erlaubt großflächig angelegte in silico Studien durchzuführen. Jedoch ist es ein komplexer Prozess von rohen Sequenzdaten bis zur genomischen Vorhersage mit Hilfe von neuronalen Netzwerken zu kommen. Im Rahmen der vorliegenden Studien werden viele Schritte, die an diesem Prozess beteiligt sind beleuchtet. Kapitel 2 wird einen Vergleich zwischen einer Vielzahl an Werkzeugen zur Assemblierung von Chloroplasten Genomen ziehen. Kapitel 3 stellt eine neu entwickelte Software zur genom-weiten Assoziationskartierung vor, die bisherigen Programmen überlegen ist. Kapitel 4 stellt maschinelles Lernen und die genetischen Komponenten von quantitativen Merkmalen vor und bringt diese im Kontext der genomischen Vorhersagen zusammen. Zum Schluss in Kapitel 5 werden die vorherigen Ergebnisse im Gesamtkontext der quantitativen Genetik erläutert. KW - Genetics KW - GWAS KW - Genomic Selection KW - Quantitative Genetics Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-199429 ER - TY - THES A1 - López Arboleda, William Andrés T1 - Global Genetic Heterogeneity in Adaptive Traits T1 - Globale genetische Heterogenität in adaptiven Merkmalen N2 - Genome Wide Association Studies (GWAS) have revolutionized the way on how genotype-phenotype relations are assessed. In the 20 years long history of GWAS, multiple challenges from a biological, computational, and statistical point of view have been faced. The implementation of this technique using the model plant species Arabidopsis thaliana, has enabled the detection of many association for multiple traits. Despite a lot of studies implementing GWAS have discovered new candidate genes for multiple traits, different samples are used across studies. In many cases, either globally diverse samples or samples composed of accessions from a geographically restricted area are used. With the aim of comparing GWAS outcomes between populations from different geographic areas, this thesis describes the performance of GWAS in different European samples of A. thaliana. Here, association mapping results for flowering time were compared. Chapter 2 describes the analyses of random resampling from this original sample. The aim was to establish reduced subsamples to later carry out GWAS and compare the outcomes between these subsamples. In Chapter 3, the European sample was split into eight equally-sized local samples representing different geographic regions. Next, GWAS was carried out and an attempt was made to clarify the differences in GWAS outcomes. Chapter 4 contains the results of a collaboration with Prof. Dr. Wolfgang Dröge- Laser, in which my mainly task was the analysis of RNAseq data from A. thaliana plants infected by pathogenic fungi. Finally, Appendix A presents a very short description of my participation in the GHP Project on Access to Care for Cardiometabolic Diseases (HPACC) at the university of Heidelberg. N2 - Die genomweiten Assoziationsstudien (GWAS) haben die Art und Weise revolutionierten, wie genotypische-phänotypische Zusammenhänge untersucht werden. In der 20-jährigen Geschichte dieser Analysen, gab es zahlreiche biologische, mathematische und statistische Herausforderungen. Die Anwendung dieser Methodik in der Modellpflanze Arabidopsis thaliana ermöglichte die Erkennung neuer Zusammenhänge für zahlreicher Merkmale. Obwohl viele Studien, die GWAS implementieren, neue Kandidatengene für verschiedene Merkmale entdeckt haben, werden in den verschiedenen Analysen oft unterschiedliche Populationen verwendet. Es werden entweder global unterschiedliche Accessionen oder alternative welche aus einem geografisch begrenzten Gebiet als Population für die Anaylsen verwendet. Mit dem Ziel, GWAS-Ergebnisse zwischen Populationen aus verschiedenen geografischen Gebieten zu vergleichen, beschreibt diese Arbeit die Eigenschaften der Analyse in verschiedenen europäischen Populationen von A. thaliana. Verglichen wurden die Ergebnisse der Assoziationskartierung für die Blütezeit. Kapitel 2 beschreibt die Analysen von zufälligen Populationen im Vergleich zur gesamten europäischen Population. Ziel war es, reduzierte Stichproben zu erstellen, um später GWAS durchzuführen und die Ergebnisse zwischen diesen Stichproben zu vergleichen. In Kapitel 3 wurde die europäische Population in acht gleich große lokale Subpopulationen aufgeteilt. Diese repräsentieren verschiedene geografische Regionen. Als nächstes wurde GWAS durchgeführt und die Unterschiede in den jeweilgen GWAS-Ergebnissen beschrieben. Kapitel 4 behinhaltet die Ergebnisse aus einer Zusammenarbeit mit Prof. Dr. Wolfgang Dröge-Laser: Hier war meine Hauptaufgabe die Analyse von RNAs Sequenzierungsdaten von mit pathogenen Pilzen befallenen A. thaliana-Pflanzen. Schließlich enthält Anhang A eine zusammenfassende Beschreibung meiner Mitarbeit am GHP-Projekt zum Zugang zur Versorgung bei kardiometabolischen Erkrankungen (HPACC) an der Universität Heidelberg KW - Genotype-phenotype relationship KW - GWAS KW - adaptive traits KW - local adaptation Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-242468 ER - TY - JOUR A1 - Lopez-Arboleda, William Andres A1 - Reinert, Stephan A1 - Nordborg, Magnus A1 - Korte, Arthur T1 - Global genetic heterogeneity in adaptive traits JF - Molecular Biology and Evolution N2 - Understanding the genetic architecture of complex traits is a major objective in biology. The standard approach for doing so is genome-wide association studies (GWAS), which aim to identify genetic polymorphisms responsible for variation in traits of interest. In human genetics, consistency across studies is commonly used as an indicator of reliability. However, if traits are involved in adaptation to the local environment, we do not necessarily expect reproducibility. On the contrary, results may depend on where you sample, and sampling across a wide range of environments may decrease the power of GWAS because of increased genetic heterogeneity. In this study, we examine how sampling affects GWAS in the model plant species Arabidopsis thaliana. We show that traits like flowering time are indeed influenced by distinct genetic effects in local populations. Furthermore, using gene expression as a molecular phenotype, we show that some genes are globally affected by shared variants, whereas others are affected by variants specific to subpopulations. Remarkably, the former are essentially all cis-regulated, whereas the latter are predominately affected by trans-acting variants. Our result illustrate that conclusions about genetic architecture can be extremely sensitive to sampling and population structure. KW - evolutionary genomics KW - GWAS KW - regulation of gene expression KW - genetic architecture Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-270410 VL - 38 IS - 11 ER -