Cargando…

Read count-based method for high-throughput allelic genotyping of transposable elements and structural variants

BACKGROUND: Like other structural variants, transposable element insertions can be highly polymorphic across individuals. Their functional impact, however, remains poorly understood. Current genome-wide approaches for genotyping insertion-site polymorphisms based on targeted or whole-genome sequenci...

Descripción completa

Detalles Bibliográficos
Autores principales: Kuhn, Alexandre, Ong, Yao Min, Quake, Stephen R., Burkholder, William F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494700/
https://www.ncbi.nlm.nih.gov/pubmed/26153459
http://dx.doi.org/10.1186/s12864-015-1700-4
_version_ 1782380140165070848
author Kuhn, Alexandre
Ong, Yao Min
Quake, Stephen R.
Burkholder, William F.
author_facet Kuhn, Alexandre
Ong, Yao Min
Quake, Stephen R.
Burkholder, William F.
author_sort Kuhn, Alexandre
collection PubMed
description BACKGROUND: Like other structural variants, transposable element insertions can be highly polymorphic across individuals. Their functional impact, however, remains poorly understood. Current genome-wide approaches for genotyping insertion-site polymorphisms based on targeted or whole-genome sequencing remain very expensive and can lack accuracy, hence new large-scale genotyping methods are needed. RESULTS: We describe a high-throughput method for genotyping transposable element insertions and other types of structural variants that can be assayed by breakpoint PCR. The method relies on next-generation sequencing of multiplex, site-specific PCR amplification products and read count-based genotype calls. We show that this method is flexible, efficient (it does not require rounds of optimization), cost-effective and highly accurate. CONCLUSIONS: This method can benefit a wide range of applications from the routine genotyping of animal and plant populations to the functional study of structural variants in humans. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1700-4) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4494700
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-44947002015-07-08 Read count-based method for high-throughput allelic genotyping of transposable elements and structural variants Kuhn, Alexandre Ong, Yao Min Quake, Stephen R. Burkholder, William F. BMC Genomics Methodology Article BACKGROUND: Like other structural variants, transposable element insertions can be highly polymorphic across individuals. Their functional impact, however, remains poorly understood. Current genome-wide approaches for genotyping insertion-site polymorphisms based on targeted or whole-genome sequencing remain very expensive and can lack accuracy, hence new large-scale genotyping methods are needed. RESULTS: We describe a high-throughput method for genotyping transposable element insertions and other types of structural variants that can be assayed by breakpoint PCR. The method relies on next-generation sequencing of multiplex, site-specific PCR amplification products and read count-based genotype calls. We show that this method is flexible, efficient (it does not require rounds of optimization), cost-effective and highly accurate. CONCLUSIONS: This method can benefit a wide range of applications from the routine genotyping of animal and plant populations to the functional study of structural variants in humans. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1700-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-07-08 /pmc/articles/PMC4494700/ /pubmed/26153459 http://dx.doi.org/10.1186/s12864-015-1700-4 Text en © Kuhn et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology Article
Kuhn, Alexandre
Ong, Yao Min
Quake, Stephen R.
Burkholder, William F.
Read count-based method for high-throughput allelic genotyping of transposable elements and structural variants
title Read count-based method for high-throughput allelic genotyping of transposable elements and structural variants
title_full Read count-based method for high-throughput allelic genotyping of transposable elements and structural variants
title_fullStr Read count-based method for high-throughput allelic genotyping of transposable elements and structural variants
title_full_unstemmed Read count-based method for high-throughput allelic genotyping of transposable elements and structural variants
title_short Read count-based method for high-throughput allelic genotyping of transposable elements and structural variants
title_sort read count-based method for high-throughput allelic genotyping of transposable elements and structural variants
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494700/
https://www.ncbi.nlm.nih.gov/pubmed/26153459
http://dx.doi.org/10.1186/s12864-015-1700-4
work_keys_str_mv AT kuhnalexandre readcountbasedmethodforhighthroughputallelicgenotypingoftransposableelementsandstructuralvariants
AT ongyaomin readcountbasedmethodforhighthroughputallelicgenotypingoftransposableelementsandstructuralvariants
AT quakestephenr readcountbasedmethodforhighthroughputallelicgenotypingoftransposableelementsandstructuralvariants
AT burkholderwilliamf readcountbasedmethodforhighthroughputallelicgenotypingoftransposableelementsandstructuralvariants