P756: Uncovering disease-associated SVA insertions missed by routine clinical testing

SINE-VNTR-Alu (SVA) elements are a class of composite retrotransposons that are active in the human genome. These elements can insert themselves into new genomic locations, potentially disrupting gene function and regulation, or may affect gene function by altering splicing or expression. Structural variations (SVs) caused by SVA insertions are underrepresented or not fully resolved in population databases due to technical challenges in detection, especially with short-read sequencing technologies.

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Publication Details

Journal
Genetics in Medicine Open
Published
2025-01-01
DOI
https://doi.org/10.1016/j.gimo.2025.103125
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

P756: Uncovering disease-associated SVA insertions missed by routine clinical testing

Joy Goffena, Jonas A. Gustafson, Danny Miller
Genetics in Medicine Open
Biomedical Text Mining and Ontologies
article

P756: Uncovering disease-associated SVA insertions missed by routine clinical testing

Joy Goffena, Jonas A. Gustafson, Danny Miller
article en

Abstract

SINE-VNTR-Alu (SVA) elements are a class of composite retrotransposons that are active in the human genome. These elements can insert themselves into new genomic locations, potentially disrupting gene function and regulation, or may affect gene function by altering splicing or expression. Structural variations (SVs) caused by SVA insertions are underrepresented or not fully resolved in population databases due to technical challenges in detection, especially with short-read sequencing technologies.

Genetics in Medicine OpenVol. 3
University of Washington (US)
Openalex Percentile: Top 96%
Biomedical Text Mining and Ontologies
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