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Novel insight into the etiology of ischemic stroke gained by integrative multiome-wide association study.
Jung, Junghyun; Lu, Zeyun; de Smith, Adam; Mancuso, Nicholas.
Afiliação
  • Jung J; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1450 Biggy Street, Los Angeles, CA 90033, United States.
  • Lu Z; Biostatistics Division, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 North Soto Street, Los Angeles, CA 90033, United States.
  • de Smith A; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1450 Biggy Street, Los Angeles, CA 90033, United States.
  • Mancuso N; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1450 Biggy Street, Los Angeles, CA 90033, United States.
Hum Mol Genet ; 33(2): 170-181, 2024 Jan 07.
Article em En | MEDLINE | ID: mdl-37824084
Stroke, characterized by sudden neurological deficits, is the second leading cause of death worldwide. Although genome-wide association studies (GWAS) have successfully identified many genomic regions associated with ischemic stroke (IS), the genes underlying risk and their regulatory mechanisms remain elusive. Here, we integrate a large-scale GWAS (N = 1 296 908) for IS together with molecular QTLs data, including mRNA, splicing, enhancer RNA (eRNA), and protein expression data from up to 50 tissues (total N = 11 588). We identify 136 genes/eRNA/proteins associated with IS risk across 60 independent genomic regions and find IS risk is most enriched for eQTLs in arterial and brain-related tissues. Focusing on IS-relevant tissues, we prioritize 9 genes/proteins using probabilistic fine-mapping TWAS analyses. In addition, we discover that blood cell traits, particularly reticulocyte cells, have shared genetic contributions with IS using TWAS-based pheWAS and genetic correlation analysis. Lastly, we integrate our findings with a large-scale pharmacological database and identify a secondary bile acid, deoxycholic acid, as a potential therapeutic component. Our work highlights IS risk genes/splicing-sites/enhancer activity/proteins with their phenotypic consequences using relevant tissues as well as identify potential therapeutic candidates for IS.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transcriptoma / AVC Isquêmico Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transcriptoma / AVC Isquêmico Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos