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Moran, Jennifer

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Moran

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Jennifer

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Moran, Jennifer

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Now showing 1 - 3 of 3
  • Publication
    Identification of common genetic risk variants for autism spectrum disorder
    (Springer Science and Business Media LLC, 2019-02-25) Grove, Jakob; Ripke, Stephan; Als, Thomas D.; Mattheisen, Manuel; Walters, Raymond; Won, Hyejung; Pallesen, Jonatan; Agerbo, Esben; Andreassen, Ole A.; Anney, Richard; Awashti, Swapnil; Belliveau, Rich; Bettella, Francesco; Buxbaum, Joseph D.; Bybjerg-Grauholm, Jonas; Bækvad-Hansen, Marie; Cerrato, Felecia; Chambert, Kimberly; Christensen, Jane H.; Churchhouse, Claire; Dellenvall, Karin; Demontis, Ditte; De Rubeis, Silvia; Devlin, Bernie; Djurovic, Srdjan; Dumont, Ashley; Goldstein, Jacqueline; Hansen, Christine S.; Hauberg, Mads Engel; Hollegaard, Mads V.; Hope, Sigrun; Howrigan, Daniel; Huang, Hailiang; Hultman, Christina M.; Klei, Lambertus; Maller, Julian; Martin, Joanna; Martin, Alicia R.; Moran, Jennifer; Nyegaard, Mette; Nærland, Terje; Palmer, Duncan; Palotie, Aarno; Pedersen, Carsten Bøcker; Pedersen, Marianne Giørtz; Poterba, Timothy; Pourcain, Beate St; Poulsen, Jesper Buchhave; Qvist, Per; Rehnström, Karola; Reichenberg, Abraham; Reichert, Jennifer; Robinson, Elise; Roeder, Kathryn; Roussos, Panos; Saemundsen, Evald; Sandin, Sven; Satterstrom, F. Kyle; Davey Smith, George; Stefansson, Hreinn; Steinberg, Stacy; Stevens, Christine R.; Sullivan, Patrick F.; Turley, Patrick; Walters, G. Bragi; Xu, Xinyi; Stefansson, Kari; Geschwind, Daniel H.; Nordentoft, Merete; Hougaard, David M.; Werge, Thomas; Mors, Ole; Mortensen, Preben Bo; Neale, Benjamin; Daly, Mark; Børglum, Anders D.
    Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic variants contribute substantially to ASD susceptibility, but to date no individual variants have been robustly associated with ASD. With a marked sample size increase from a unique Danish population resource, we report a genome-wide association meta-analysis of 18,381 ASD cases and 27,969 controls that identifies five genome-wide significant loci. Leveraging GWAS results from three phenotypes with significantly overlapping genetic architectures (schizophrenia, major depression, and educational attainment), seven additional loci shared with other traits are identified at equally strict significance levels. Dissecting the polygenic architecture we find both quantitative and qualitative polygenic heterogeneity across ASD subtypes, in contrast to what is typically seen in other complex disorders. These results highlight biological insights, particularly relating to neuronal function and corticogenesis and establish that GWAS performed at scale will be much more productive in the near term in ASD, just as it has been in a broad range of important psychiatric and diverse medical phenotypes.
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    Publication
    Evidence of Common Genetic Overlap Between Schizophrenia and Cognition
    (Oxford University Press, 2015) Hubbard, Leon; Tansey, Katherine E.; Rai, Dheeraj; Jones, Peter; Ripke, Stephan; Chambert, Kimberly D.; Moran, Jennifer; McCarroll, Steven; Linden, David E. J.; Owen, Michael J.; O’Donovan, Michael C.; Walters, James T. R.; Zammit, Stanley
    Cognitive impairment is a core feature of schizophrenia but there is limited understanding of the genetic relationship between cognition in the general population and schizophrenia. We examine how common variants associated with schizophrenia en masse contribute to childhood cognitive ability in a population-based sample, and the extent to which common genetic variants associated with childhood cognition explain variation in schizophrenia. Schizophrenia polygenic risk scores were derived from the Psychiatric Genomics Consortium (n = 69 516) and tested for association with IQ, attention, processing speed, working memory, problem solving, and social cognition in over 5000 children aged 8 from the Avon Longitudinal Study of Parents and Children birth cohort. Polygenic scores for these cognitive domains were tested for association with schizophrenia in a large UK schizophrenia sample (n = 11 853). Bivariate genome-wide complex trait analysis (GCTA) estimated the amount of shared genetic factors between schizophrenia and cognitive domains. Schizophrenia polygenic risk score was associated with lower performance IQ (P = .001) and lower full IQ (P = .013). Polygenic score for performance IQ was associated with increased risk for schizophrenia (P = 3.56E-04). Bivariate GCTA revealed moderate genetic correlation between schizophrenia and both performance IQ (r G = −.379, P = 6.62E-05) and full IQ (r G = −.202, P = 5.00E-03), with approximately 14% of the genetic component of schizophrenia shared with that for performance IQ. Our results support the presence of shared common genetic factors between schizophrenia and childhood cognitive ability. We observe a genetic relationship between schizophrenia and performance IQ but not verbal IQ or other cognitive variables, which may have implications for studies utilizing cognitive endophenotypes for psychosis.
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    Genome-wide common and rare variant analysis provides novel insights into clozapine-associated neutropenia
    (2016) Legge, Sophie E; Hamshere, Marian L; Ripke, Stephan; Pardinas, Antonio F; Goldstein, Jacqueline I; Rees, Elliott; Richards, Alexander L; Leonenko, Ganna; Jorskog, L Fredrik; Chambert, Kimberly D; Collier, David A; Genovese, Giulio; Giegling, Ina; Holmans, Peter; Jonasdottir, Adalbjorg; Kirov, George; McCarroll, Steven; MacCabe, James H; Mantripragada, Kiran; Moran, Jennifer; Neale, Benjamin; Stefansson, Hreinn; Rujescu, Dan; Daly, Mark; Sullivan, Patrick F; Owen, Michael J; O’Donovan, Michael C; Walters, James T R
    The antipsychotic clozapine is uniquely effective in the management of schizophrenia, but its use is limited by its potential to induce agranulocytosis. The causes of this, and of its precursor neutropenia, are largely unknown although genetic factors play an important role. We sought risk alleles for clozapine-associated neutropenia in a sample of 66 cases and 5583 clozapine-treated controls, through a genome-wide association study (GWAS), imputed HLA alleles, exome array, and copy number variation analyses. We then combined associated variants in a meta-analysis with data from the Clozapine-Induced Agranulocytosis Consortium (up to 163 cases and 7970 controls). In the largest combined sample to date, we identified a novel association with rs149104283 (OR=4.32, P=1.79×10-8), intronic to transcripts of SLCO1B3 and SLCO1B7, members of a family of hepatic transporter genes previously implicated in adverse drug reactions including simvastatin-induced myopathy and docetaxel-induced neutropenia. Exome array analysis identified gene-wide associations of uncommon non-synonymous variants within UBAP2 and STARD9. We additionally provide independent replication of a previously identified variant in HLA-DQB1 (OR=15.6, P = 0.015, positive predictive value = 35.1%). These results implicate biological pathways through which clozapine may act to cause this serious adverse effect.