CRISPR screens identify gene targets at breast cancer risk loci
-
Published:2023-03-29
Issue:1
Volume:24
Page:
-
ISSN:1474-760X
-
Container-title:Genome Biology
-
language:en
-
Short-container-title:Genome Biol
Author:
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 JosephORCID
Abstract
AbstractBackgroundGenome-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.
Funder
National Health and Medical Research Council DoD Victorian Cancer Agency Isabel and Roderic Allpass
Publisher
Springer Science and Business Media LLC
Reference73 articles.
1. King EA, Davis JW, Degner JF. Are drug targets with genetic support twice as likely to be approved? Revised estimates of the impact of genetic support for drug mechanisms on the probability of drug approval. PLoS Genet. 2019;15:e1008489. 2. Nelson MR, Tipney H, Painter JL, Shen J, Nicoletti P, Shen Y, Floratos A, Sham PC, Li MJ, Wang J, et al. The support of human genetic evidence for approved drug indications. Nat Genet. 2015;47:856–60. 3. Fachal L, Aschard H, Beesley J, Barnes DR, Allen J, Kar S, Pooley KA, Dennis J, Michailidou K, Turman C, et al. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes. Nat Genet. 2020;52:56–73. 4. Michailidou K, Lindstrom S, Dennis J, Beesley J, Hui S, Kar S, Lemacon A, Soucy P, Glubb D, Rostamianfar A, et al. Association analysis identifies 65 new breast cancer risk loci. Nature. 2017;551:92–4. 5. Zhang H, Ahearn TU, Lecarpentier J, Barnes D, Beesley J, Qi G, Jiang X, O’Mara TA, Zhao N, Bolla MK, et al. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses. Nat Genet. 2020;52:572–81.
Cited by
16 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|