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CRISPR screens identify gene targets at breast cancer risk loci
被引:12
|作者:
Tuano, Natasha K.
[1
,2
]
Beesley, Jonathan
[3
]
Manning, Murray
[1
,2
,4
]
Shi, Wei
[3
]
Perlaza-Jimenez, Laura
[1
,2
,5
]
Malaver-Ortega, Luis F.
[4
]
Paynter, Jacob M.
[1
,2
,6
]
Black, Debra
[3
]
Civitarese, Andrew
[3
]
McCue, Karen
[3
]
Hatzipantelis, Aaron
[3
]
Hillman, Kristine
[3
]
Kaufmann, Susanne
[3
]
Sivakumaran, Haran
[3
]
Polo, Jose M.
[6
]
Reddel, Roger R.
[7
]
Band, Vimla
[8
]
French, Juliet D.
[3
]
Edwards, Stacey L.
[3
]
Powell, David R.
[5
]
Chenevix-Trench, Georgia
[3
]
Rosenbluh, Joseph
[1
,2
,4
]
机构:
[1] Monash Univ, Biomed Discovery Inst, Canc Res Program, Clayton, Vic, Australia
[2] Monash Univ, Biomed Discovery Inst, Dept Biochem & Mol Biol, Clayton, Vic, Australia
[3] QIMR Berghofer Med Res Inst, Canc Program, Brisbane, Australia
[4] Monash Univ, Funct Genom Platform, Clayton, Vic, Australia
[5] Monash Univ, Bioinformat Platform, Clayton, Vic, Australia
[6] Monash Biomed Discovery Inst, Dev & Stem Cells Program, Clayton, Vic, Australia
[7] Univ Sydney, Childrens Med Res Inst, Fac Med & Hlth, Canc Res Unit, Westmead, NSW, Australia
[8] Univ Nebraska Med Ctr, Dept Genet Cell Biol & Anat, Omaha, NE USA
基金:
澳大利亚国家健康与医学研究理事会;
关键词:
Post GWAS;
Breast cancer risk;
Functional phenotypic screens;
Target discovery;
FUNCTIONAL VARIANTS;
SUSCEPTIBILITY LOCI;
CELLS;
ENHANCER;
REVEALS;
DUSP4;
DESIGN;
11Q13;
D O I:
10.1186/s13059-023-02898-w
中图分类号:
Q81 [生物工程学(生物技术)];
Q93 [微生物学];
学科分类号:
071005 ;
0836 ;
090102 ;
100705 ;
摘要:
BackgroundGenome-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.ResultsHere, 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.ConclusionsWe 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.
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页数:23
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