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   <ref-type name="Journal Article">17</ref-type>
   <contributors>
    <authors/>
   </contributors>
   <titles>
    <title></title>
   </titles>
   <dates>
    <year>2022</year>
    <pub-dates>
     <date>2023-01-30</date>
    </pub-dates>
   </dates>
   <doi>10.1038/s41586-022-04434-5</doi>
   <abstract>Schizophrenia has a heritability of 60–80%1&#13;
, much of which is attributable to common&#13;
risk alleles. Here, in a two-stage genome-wide association study of up to 76,755&#13;
individuals with schizophrenia and 243,649 control individuals, we report common&#13;
variant associations at 287 distinct genomic loci. Associations were concentrated in&#13;
genes that are expressed in excitatory and inhibitory neurons of the central nervous&#13;
system, but not in other tissues or cell types. Using fne-mapping and functional&#13;
genomic data, we identify 120 genes (106 protein-coding) that are likely to underpin&#13;
associations at some of these loci, including 16 genes with credible causal&#13;
non-synonymous or untranslated region variation. We also implicate fundamental&#13;
processes related to neuronal function, including synaptic organization,&#13;
diferentiation and transmission. Fine-mapped candidates were enriched for genes&#13;
associated with rare disruptive coding variants in people with schizophrenia,&#13;
including the glutamate receptor subunit GRIN2A and transcription factor SP4, and&#13;
were also enriched for genes implicated by such variants in neurodevelopmental&#13;
disorders. We identify biological processes relevant to schizophrenia&#13;
pathophysiology; show convergence of common and rare variant associations in&#13;
schizophrenia and neurodevelopmental disorders; and provide a resource of&#13;
prioritized genes and variants to advance mechanistic studies.</abstract>
   <urls>
    <web-urls>
     <url>https://repo.bashgmu.ru/publication/3958</url>
    </web-urls>
    <pdf-urls>
     <url>https://repo.bashgmu.ru/files/4134</url>
    </pdf-urls>
   </urls>
  </record>
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