Document Type
Article
Publication Date
5-9-2022
Identifier
DOI: 10.1038/s41598-022-11589-8
Abstract
Clinical whole genome sequencing has enabled the discovery of potentially pathogenic noncoding variants in the genomes of rare disease patients with a prior history of negative genetic testing. However, interpreting the functional consequences of noncoding variants and distinguishing those that contribute to disease etiology remains a challenge. Here we address this challenge by experimentally profiling the functional consequences of rare noncoding variants detected in a cohort of undiagnosed rare disease patients at scale using a massively parallel reporter assay. We demonstrate that this approach successfully identifies rare noncoding variants that alter the regulatory capacity of genomic sequences. In addition, we describe an integrative analysis that utilizes genomic features alongside patient clinical data to further prioritize candidate variants with an increased likelihood of pathogenicity. This work represents an important step towards establishing a framework for the functional interpretation of clinically detected noncoding variants.
Journal Title
Sci Rep
Volume
12
Issue
1
First Page
7576
Last Page
7576
MeSH Keywords
Genome; Genomics; Humans; Rare Diseases; Undiagnosed Diseases; Whole Genome Sequencing
Keywords
Genome; Genomics; Humans; Rare Diseases; Undiagnosed Diseases; Whole Genome Sequencing
Recommended Citation
McQuerry JA, Mclaird M, Hartin SN, et al. Massively parallel identification of functionally consequential noncoding genetic variants in undiagnosed rare disease patients. Sci Rep. 2022;12(1):7576. Published 2022 May 9. doi:10.1038/s41598-022-11589-8
Comments
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Publisher's Link: https://www.nature.com/articles/s41598-022-11589-8