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Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Trubetskoy, Vassily; Pardiñas, Antonio F; Qi, Ting; Panagiotaropoulou, Georgia; Awasthi, Swapnil; Bigdeli, Tim B; Bryois, Julien; ... Schizophrenia Working Group of the Psychiatric Genomics Consorti; + view all (2022) Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature , 604 pp. 502-508. 10.1038/s41586-022-04434-5. Green open access

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Abstract

Schizophrenia has a heritability of 60-80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 protein-coding) that are likely to underpin associations at some of these loci, including 16 genes with credible causal non-synonymous or untranslated region variation. We also implicate fundamental processes related to neuronal function, including synaptic organization, differentiation and transmission. Fine-mapped candidates were enriched for genes associated with rare disruptive coding variants in people with schizophrenia, including the glutamate receptor subunit GRIN2A and transcription factor SP4, and were also enriched for genes implicated by such variants in neurodevelopmental disorders. We identify biological processes relevant to schizophrenia pathophysiology; show convergence of common and rare variant associations in schizophrenia and neurodevelopmental disorders; and provide a resource of prioritized genes and variants to advance mechanistic studies.

Type: Article
Title: Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41586-022-04434-5
Publisher version: https://doi.org/10.1038/s41586-022-04434-5
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, ASSOCIATION, VARIANTS, INTEGRATION, DISEASE, ARCHITECTURE, INDIVIDUALS, STATISTICS, MUTATIONS, PROFILE, RISK
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
URI: https://discovery.ucl.ac.uk/id/eprint/10148396
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