Evidence map›Paper›PMID 27478512›Full record

ArticleMobile DNA2016

Identification of polymorphic SVA retrotransposons using a mobile element scanning method for SVA (ME-Scan-SVA).

Hongseok Ha, Jui Wan Loh, Jinchuan Xing

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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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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hongseok HaDepartment of Genetics, The State University of New Jersey, Piscataway, 08854 NJ USA ; Human Genetic Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, 08854 NJ USA.
Jui Wan LohDepartment of Genetics, The State University of New Jersey, Piscataway, 08854 NJ USA.
Jinchuan XingDepartment of Genetics, The State University of New Jersey, Piscataway, 08854 NJ USA ; Human Genetic Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, 08854 NJ USA.ORCID 0000-0001-6469-8733

Funding

High-throughput Mobile Element Genotyping Using Next-generation SequencingR00HG005846 · NHGRI · RUTGERS, THE STATE UNIV OF N.J. · PI XING, JINCHUAN · 2012 to 2014
$736k
NHGRI NIH HHS R00 HG005846
6 · The paper itself

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.

Indexed as

High-throughput sequencingME-ScanRetrotransposonSVA

Identifiers

PMID27478512
PMCPMC4967303

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.