From genetic associations to genes: methods, applications, and challenges.
Trends Genet
; 40(8): 642-667, 2024 Aug.
Article
en En
| MEDLINE
| ID: mdl-38734482
ABSTRACT
Genome-wide association studies (GWASs) have identified numerous genetic loci associated with human traits and diseases. However, pinpointing the causal genes remains a challenge, which impedes the translation of GWAS findings into biological insights and medical applications. In this review, we provide an in-depth overview of the methods and technologies used for prioritizing genes from GWAS loci, including gene-based association tests, integrative analysis of GWAS and molecular quantitative trait loci (xQTL) data, linking GWAS variants to target genes through enhancer-gene connection maps, and network-based prioritization. We also outline strategies for generating context-dependent xQTL data and their applications in gene prioritization. We further highlight the potential of gene prioritization in drug repurposing. Lastly, we discuss future challenges and opportunities in this field.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Sitios de Carácter Cuantitativo
/
Estudio de Asociación del Genoma Completo
Límite:
Humans
Idioma:
En
Revista:
Trends Genet
Asunto de la revista:
GENETICA
Año:
2024
Tipo del documento:
Article