Measuring X-Chromosome inactivation skew for X-linked diseases with adaptive nanopore sequencing

X-linked genetic disorders typically affect females less severely than males owing 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, and 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 <i>RPGR</i>-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 reveals a strong correlation between X inactivation skew and disease presentation, confirming the value in performing this assay and its potential as a way to prioritize 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 data sets, providing insights into disease risk and severity and aiding in the development of individualized strategies for X-linked variant carrier females.

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Publication Details

Journal
Genome Research
Published
2024-09-16
DOI
https://doi.org/10.1101/gr.279396.124
Citations
9
Primary Topic
interferon and immune responses
Type
article

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article

Measuring X-Chromosome inactivation skew for X-linked diseases with adaptive nanopore sequencing

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9 citations
Genome Research
interferon and immune responses
article

Measuring X-Chromosome inactivation skew for X-linked diseases with adaptive nanopore sequencing

Sena A. Gocuk, Thomas L. Edwards, Matthew E. Ritchie, James Lancaster, Jasleen K. Jolly, Doron G. Hickey, Lauren N. Ayton, Shian Su, Quentin A. Gouil, Marnie E. Blewitt
article en
9 citations

Abstract

X-linked genetic disorders typically affect females less severely than males owing 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, and 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 <i>RPGR</i>-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 reveals a strong correlation between X inactivation skew and disease presentation, confirming the value in performing this assay and its potential as a way to prioritize 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 data sets, providing insights into disease risk and severity and aiding in the development of individualized strategies for X-linked variant carrier females.

Genome ResearchVol. 34(11)
The University of Melbourne (AU), Walter and Eliza Hall Institute of Medical Research (AU), Australian College of Optometry (AU), Centre for Eye Research Australia (AU), Melbourne Clinic (AU), Anglia Ruskin University (GB)
Australian Government, University of Melbourne, Department of Health, State Government of Victoria, Medical Research Council, National Health and Medical Research Council
Good health and well-being
interferon and immune responses
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