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Variant-aware saturating mutagenesis using multiple Cas9 nucleases identifies regulatory elements at trait-associated loci

Cas9-mediated, high-throughput, saturating in situ mutagenesis permits fine-mapping of function across genomic segments. Disease- and trait-associated variants from genome-wide association studies largely cluster in regulatory DNA. Here we demonstrate the use of multiple designer nucleases and varia...

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Detalles Bibliográficos
Autores principales: Canver, Matthew C., Lessard, Samuel, Pinello, Luca, Wu, Yuxuan, Ilboudo, Yann, Stern, Emily N., Needleman, Austen J., Galactéros, Frédéric, Brugnara, Carlo, Kutlar, Abdullah, McKenzie, Colin, Reid, Marvin, Chen, Diane D., Das, Partha Pratim, Cole, Mitchel, Zeng, Jing, Kurita, Ryo, Nakamura, Yukio, Yuan, Guo-Cheng, Lettre, Guillaume, Bauer, Daniel E., Orkin, Stuart H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374001/
https://www.ncbi.nlm.nih.gov/pubmed/28218758
http://dx.doi.org/10.1038/ng.3793
Descripción
Sumario:Cas9-mediated, high-throughput, saturating in situ mutagenesis permits fine-mapping of function across genomic segments. Disease- and trait-associated variants from genome-wide association studies largely cluster in regulatory DNA. Here we demonstrate the use of multiple designer nucleases and variant-aware library design to interrogate trait-associated regulatory DNA at high resolution. We developed a computational tool for the creation of saturating mutagenesis libraries with single or combinatorial nucleases with incorporation of variants. We applied this methodology to the HBS1L-MYB intergenic region, a locus associated with red blood cell traits, including fetal hemoglobin levels. This approach identified putative regulatory elements that control MYB expression. Analysis of genomic copy number highlighted potential false positive regions, which emphasizes the importance of off-target analysis in design of saturating mutagenesis experiments. Taken together, these data establish a widely applicable high-throughput and high-resolution methodology to reliably identify minimal functional sequences within large regions of disease- and trait-associated DNA.