Measuring X inactivation skew for X-linked diseases with adaptive nanopore sequencing
- Author(s)
- Gocuk, SA; Lancaster, J; Su, S; Jolly, JK; Edwards, TL; Hickey, DG; Ritchie, ME; Blewitt, ME; Ayton, LN; Gouil, Q;
- Journal Title
- Genome Research
- Publication Type
- Sep 16 epub ahead of print
- Abstract
- X-linked genetic disorders typically affect females less severely than males due to the presence of a second X Chromosome not carrying the deleterious variant. However, the phenotypic expression in females is highly variable, which may be explained by an allelic skew in X-Chromosome inactivation. Accurate measurement of X inactivation skew is crucial to understand and predict disease phenotype in carrier females, with prediction especially relevant for degenerative conditions. We propose a novel approach using nanopore sequencing to quantify skewed X inactivation accurately. By phasing sequence variants and methylation patterns, this single assay reveals the disease variant, X inactivation skew, its directionality, and is applicable to all patients and X-linked variants. Enrichment of X Chromosome reads through adaptive sampling enhances cost-efficiency. Our study includes a cohort of 16 X-linked variant carrier females affected by two X-linked inherited retinal diseases: choroideremia and RPGR-associated retinitis pigmentosa. As retinal DNA cannot be readily obtained, we instead determine the skew from peripheral samples (blood, saliva and buccal mucosa), and correlate it to phenotypic outcomes. This revealed a strong correlation between X inactivation skew and disease presentation, confirming the value in performing this assay and its potential as a way to prioritise patients for early intervention, such as gene therapy currently in clinical trials for these conditions. Our method of assessing skewed X inactivation is applicable to all long-read genomic datasets, providing insights into disease risk and severity and aiding in the development of individualised strategies for X-linked variant carrier females.
- Publisher
- CSHLP
- Research Division(s)
- Epigenetics And Development
- PubMed ID
- 39284686
- Publisher's Version
- https://doi.org/10.1101/gr.279396.124
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2024-10-04 10:44:57
Last Modified: 2024-10-04 10:51:24