ArticleMobile DNA2016
Identification of polymorphic SVA retrotransposons using a mobile element scanning method for SVA (ME-Scan-SVA).
Article in Mobile DNA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- RDA coupled with deep sequencing detects somatic SVA-retrotranspositions and mosaicism in the human brain.Frontiers in cell and developmental biology · 2023Article
- Human Retrotransposons and Effective Computational Detection Methods for Next-Generation Sequencing Data.Life (Basel, Switzerland) · 2022Review
- Cas9 targeted enrichment of mobile elements using nanopore sequencing.Nature communications · 2021Article
- Integrated Mobile Element Scanning (ME-Scan) method for identifying multiple types of polymorphic mobile element insertions.Mobile DNA · 2020Article
- Discovery of rare, diagnosticMobile DNA · 2017Article
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Authors and funding
3 authors.
Funding
Abstract
backgroundMobile element insertions are a major source of human genomic variation. SVA (SINE-R/VNTR/Alu) is the youngest retrotransposon family in the human genome and a number of diseases are known to be caused by SVA insertions. However, inter-individual genomic variations generated by SVA insertions and their impacts have not been studied extensively due to the difficulty in identifying polymorphic SVA insertions.
resultsTo systematically identify SVA insertions at the population level and assess their genomic impact, we developed a mobile element scanning (ME-Scan) protocol we called ME-Scan-SVA. Using a nested SVA-specific PCR enrichment method, ME-Scan-SVA selectively amplify the 5' end of SVA elements and their flanking genomic regions. To demonstrate the utility of the protocol, we constructed and sequenced a ME-Scan-SVA library of 21 individuals and analyzed the data using a new analysis pipeline designed for the protocol. Overall, the method achieved high SVA-specificity and over >90 % of the sequenced reads are from SVA insertions. The method also had high sensitivity (>90 %) for fixed SVA insertions that contain the SVA-specific primer-binding sites in the reference genome. Using candidate locus selection criteria that are expected to have a 90 % sensitivity, we identified 151 and 29 novel polymorphic SVA candidates under relaxed and stringent cutoffs, respectively (average 12 and 2 per individual). For six polymorphic SVAs that we were able to validate by PCR, the average individual genotype accuracy is 92 %, demonstrating a high accuracy of the computational genotype calling pipeline.
conclusionsThe new approach allows identifying novel SVA insertions using high-throughput sequencing. It is cost-effective and can be applied in large-scale population study. It also can be applied for detecting potential active SVA elements, and somatic SVA retrotransposition events in different tissues or developmental stages.
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