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Functional characterization of human genomic variation linked to polygenic diseases.
Fabo, Tania; Khavari, Paul.
Afiliación
  • Fabo T; Program in Epithelial Biology, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University, Stanford, CA, USA; Graduate Program in Genetics, Stanford University, Stanford, CA, USA; Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
  • Khavari P; Program in Epithelial Biology, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University, Stanford, CA, USA; Graduate Program in Genetics, Stanford University, Stanford, CA, USA; Stanford University School of Medicine, Stanford University, Stanford, CA, USA; Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA. Electronic address: khavari@stanford.edu.
Trends Genet ; 39(6): 462-490, 2023 06.
Article en En | MEDLINE | ID: mdl-36997428
ABSTRACT
The burden of human disease lies predominantly in polygenic diseases. Since the early 2000s, genome-wide association studies (GWAS) have identified genetic variants and loci associated with complex traits. These have ranged from variants in coding sequences to mutations in regulatory regions, such as promoters and enhancers, as well as mutations affecting mediators of mRNA stability and other downstream regulators, such as 5' and 3'-untranslated regions (UTRs), long noncoding RNA (lncRNA), and miRNA. Recent research advances in genetics have utilized a combination of computational techniques, high-throughput in vitro and in vivo screening modalities, and precise genome editing to impute the function of diverse classes of genetic variants identified through GWAS. In this review, we highlight the vastness of genomic variants associated with polygenic disease risk and address recent advances in how genetic tools can be used to functionally characterize them.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Herencia Multifactorial / Estudio de Asociación del Genoma Completo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Trends Genet Asunto de la revista: GENETICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Herencia Multifactorial / Estudio de Asociación del Genoma Completo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Trends Genet Asunto de la revista: GENETICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos