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CRISPR screens identify gene targets at breast cancer risk loci

BACKGROUND: Genome-wide association studies (GWAS) have identified > 200 loci associated with breast cancer risk. The majority of candidate causal variants are in non-coding regions and likely modulate cancer risk by regulating gene expression. However, pinpointing the exact target of the associa...

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Detalles Bibliográficos
Autores principales: Tuano, Natasha K., Beesley, Jonathan, Manning, Murray, Shi, Wei, Perlaza-Jimenez, Laura, Malaver-Ortega, Luis F., Paynter, Jacob M., Black, Debra, Civitarese, Andrew, McCue, Karen, Hatzipantelis, Aaron, Hillman, Kristine, Kaufmann, Susanne, Sivakumaran, Haran, Polo, Jose M., Reddel, Roger R., Band, Vimla, French, Juliet D., Edwards, Stacey L., Powell, David R., Chenevix-Trench, Georgia, Rosenbluh, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053147/
https://www.ncbi.nlm.nih.gov/pubmed/36991492
http://dx.doi.org/10.1186/s13059-023-02898-w
Descripción
Sumario:BACKGROUND: Genome-wide association studies (GWAS) have identified > 200 loci associated with breast cancer risk. The majority of candidate causal variants are in non-coding regions and likely modulate cancer risk by regulating gene expression. However, pinpointing the exact target of the association, and identifying the phenotype it mediates, is a major challenge in the interpretation and translation of GWAS. RESULTS: Here, we show that pooled CRISPR screens are highly effective at identifying GWAS target genes and defining the cancer phenotypes they mediate. Following CRISPR mediated gene activation or suppression, we measure proliferation in 2D, 3D, and in immune-deficient mice, as well as the effect on DNA repair. We perform 60 CRISPR screens and identify 20 genes predicted with high confidence to be GWAS targets that promote cancer by driving proliferation or modulating the DNA damage response in breast cells. We validate the regulation of a subset of these genes by breast cancer risk variants. CONCLUSIONS: We demonstrate that phenotypic CRISPR screens can accurately pinpoint the gene target of a risk locus. In addition to defining gene targets of risk loci associated with increased breast cancer risk, we provide a platform for identifying gene targets and phenotypes mediated by risk variants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02898-w.