bioRxivGeneticsPreprint
New pathogenic variants and insights into pathogenic mechanisms in GRK1-related Oguchi disease.
James A. PoulteriD, Molly S. C. GravettiD, Rachel L. TayloriD, Kaoru FujinamiiD, Julie De ZaeytijdiD, James BellinghamiD, Atta Ur RehmaniD, Takaaki HayashiiD, Mineo KondoiD, Abdur Rehman, Muhammad AnsariD, Dan DonnellyiD, Carmel ToomesiD, Manir AliiD, Elfride B. W. De BaereiD, Bart Peter LeroyiD, Nigel Philip DaviesiD, Robert HendersoniD, Andrew R. WebsteriD, Carlo RivoltaiD, Omar A. MahrooiD, Gavin ArnoiD, Graeme Charles M. BlackiD, Martin McKibbiniD, Sarah Anne HarrisiD, , Chris F. InglehearniD
Abstract
PurposeBiallelic mutations in G-Protein coupled receptor kinase 1 (GRK1) cause Oguchi disease, a rare subtype of congenital stationary night blindness (CSNB). The purpose of this study was to identify pathogenic GRK1 variants and use in-depth bioinformatic analyses to evaluate how their impact on protein structure could lead to pathogenicity. MethodsPatients genomic DNA was sequenced by whole genome, whole exome or focused exome sequencing. Pathogenic variants, published and novel, were compared to nondisease associated missense variants. The impact of GRK1 missense variants at the protein level were then predicted using a series of computational tools. ResultsWe identified eleven previously unpublished cases with biallelic pathogenic GRK1 variants, including seven novel variants, and reviewed all GRK1 pathogenic variants. Further structure-based scoring revealed a hotspot for missense variants in the kinase domain. Additionally, to aid future clinical interpretation, we identified the bioinformatics tools best able to differentiate pathogenic from non-pathogenic variants. ConclusionWe identified new GRK1 pathogenic variants in Oguchi disease patients and investigated how disease-causing variants may impede protein function, giving new insights into the mechanisms of pathogenicity. All pathogenic GRK1 variants described to date have been collated into a Leiden Open Variation Database (http://dna2.leeds.ac.uk/GRK1_LOVD/genes/GRK1).
- organism: human
- assay: whole-exome sequencing
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Whole Exome Sequencing identifies multiple pathogenic variants in a large south Indian family with Primary Open Angle Glaucoma
Mohd Hussain Shah, Manojkumar Kumaran, … Periasamy Sundaresan·Indian Journal of OphthalmologyPeer-reviewed·Aug 25, 2021
- Antisense oligonucleotide therapy for the common Stargardt disease type 1-causing variant in ABCA4
Melita Kaltak, Petra de Bruijn, … Jim Swildens·bioRxiv·Aug 12, 2022
- Pathogenic impact of ABCA4 missense variants in the structurally uncharacterized ECD1 region: implications for Stargardt disease.
Nadee N. J. Matarage Don, Subhasis B. Biswas, Esther E. Biswas·bioRxiv·Jul 1, 2026
- Rare Variant Pathogenicity Triage and Inclusion of Synonymous Variants Improves Analysis of Disease Associations
Ridge Dershem, Raghu Prasad Rao Metpally, … Gerda E. Breitwieser·Journal of Biological ChemistryPeer-reviewed·Oct 18, 2019
- Structural mapping of patient-associated KCNMA1 gene variants
H. J. Moldenhauer, K. Tammen, A. L. Meredith·bioRxiv·Jul 27, 2023
- Rare genetic variants in the endocannabinoid system genes CNR1 and DAGLA are associated with neurological phenotypes in humans
Douglas R. Smith, Christine M. Stanley, … Kevin Judd McKernan·PLoS ONEPeer-reviewed·Nov 16, 2017