title: Identification of polymorphic SVA retrotransposons using a mobile element scanning method for SVA (ME-Scan-SVA).
abstract: BACKGROUND
  Mobile 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.
  
  
  RESULTS
  To 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.
  
  
  CONCLUSIONS
  The 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.
authors.affiliation: Department 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.
authors.forename: Hongseok
authors.initials: H
authors.lastname: Ha
authors.affiliation: Department of Genetics, The State University of New Jersey, Piscataway, 08854 NJ USA.
authors.forename: Jui Wan
authors.initials: JW
authors.lastname: Loh
authors.affiliation: Department 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.
authors.forename: Jinchuan
authors.identifier: 0000-0001-6469-8733
authors.initials: J
authors.lastname: Xing
keywords: High-throughput sequencing; ME-Scan; Retrotransposon; SVA