Nature GeneticsGenomicsPeer-reviewed journal article
A genome-wide CRISPR screen identifies regulators of beta cell function involved in type 2 diabetes risk
Antje K. RottneriD, Yingying YeiD, Elena Navarro‐GuerreroiD, Varsha Rajesh, Alina PollneriD, Romina J. BevacquaiD, Jing YangiD, Aliya F SpigelmaniD, Roberta Baronio, Austin Bautista, Søren Krogsgaard ThomseniD, James G. LyoniD, Sameena NawaziD, Nancy P. SmithiD, Agata Wesolowska‐AnderseniD, Jocelyn E. Manning FoxiD, Han SuniD, Seung K. KimiD, Daniel V. EbneriD, Patrick E. MacDonaldiD, Anna L. GloyniD
Abstract
Identification of the genes and processes mediating genetic association signals for complex disease represents a major challenge. Since many of the genetic signals for type 2 diabetes exert their effects through pancreatic islet-cell dysfunction, we performed a genome-wide pooled CRISPR loss-of- function screen in human pancreatic beta cells. We focused on the regulation of insulin content as a disease-relevant readout of beta cell function. We identified 580 genes influencing this phenotype: integration with genetic and genomic data provided experimental support for 20 candidate type 2 diabetes effector transcripts including the autophagy receptor CALCOCO2. Our study highlights how cellular screens can augment existing multi-omic efforts to accelerate biological and translational inference at GWAS loci.
- organism: human
- assay: CRISPR screen
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- research focus: GWAS / association mapping
- research focus: benchmarking
- approach: experimental assay
- Citations
- 63
- FWCI
- 12.89
- Field percentile
- top 1%
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