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Combining target enrichment with barcode multiplexing for high throughput SNP discovery

BACKGROUND: The primary goal of genetic linkage analysis is to identify genes affecting a phenotypic trait. After localisation of the linkage region, efficient genetic dissection of the disease linked loci requires that functional variants are identified across the loci. These functional variations...

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Autores principales: Cummings, Nik, King, Rob, Rickers, Andre, Kaspi, Antony, Lunke, Sebastian, Haviv, Izhak, Jowett, Jeremy BM
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3012606/
https://www.ncbi.nlm.nih.gov/pubmed/21083938
http://dx.doi.org/10.1186/1471-2164-11-641
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author Cummings, Nik
King, Rob
Rickers, Andre
Kaspi, Antony
Lunke, Sebastian
Haviv, Izhak
Jowett, Jeremy BM
author_facet Cummings, Nik
King, Rob
Rickers, Andre
Kaspi, Antony
Lunke, Sebastian
Haviv, Izhak
Jowett, Jeremy BM
author_sort Cummings, Nik
collection PubMed
description BACKGROUND: The primary goal of genetic linkage analysis is to identify genes affecting a phenotypic trait. After localisation of the linkage region, efficient genetic dissection of the disease linked loci requires that functional variants are identified across the loci. These functional variations are difficult to detect due to extent of genetic diversity and, to date, incomplete cataloguing of the large number of variants present both within and between populations. Massively parallel sequencing platforms offer unprecedented capacity for variant discovery, however the number of samples analysed are still limited by cost per sample. Some progress has been made in reducing the cost of resequencing using either multiplexing methodologies or through the utilisation of targeted enrichment technologies which provide the ability to resequence genomic areas of interest rather that full genome sequencing. RESULTS: We developed a method that combines current multiplexing methodologies with a solution-based target enrichment method to further reduce the cost of resequencing where region-specific sequencing is required. Our multiplex/enrichment strategy produced high quality data with nominal reduction of sequencing depth. We undertook a genotyping study and were successful in the discovery of novel SNP alleles in all samples at uniplex, duplex and pentaplex levels. CONCLUSION: Our work describes the successful combination of a targeted enrichment method and index barcode multiplexing to reduce costs, time and labour associated with processing large sample sets. Furthermore, we have shown that the sequencing depth obtained is adequate for credible SNP genotyping analysis at uniplex, duplex and pentaplex levels.
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spelling pubmed-30126062010-12-31 Combining target enrichment with barcode multiplexing for high throughput SNP discovery Cummings, Nik King, Rob Rickers, Andre Kaspi, Antony Lunke, Sebastian Haviv, Izhak Jowett, Jeremy BM BMC Genomics Methodology Article BACKGROUND: The primary goal of genetic linkage analysis is to identify genes affecting a phenotypic trait. After localisation of the linkage region, efficient genetic dissection of the disease linked loci requires that functional variants are identified across the loci. These functional variations are difficult to detect due to extent of genetic diversity and, to date, incomplete cataloguing of the large number of variants present both within and between populations. Massively parallel sequencing platforms offer unprecedented capacity for variant discovery, however the number of samples analysed are still limited by cost per sample. Some progress has been made in reducing the cost of resequencing using either multiplexing methodologies or through the utilisation of targeted enrichment technologies which provide the ability to resequence genomic areas of interest rather that full genome sequencing. RESULTS: We developed a method that combines current multiplexing methodologies with a solution-based target enrichment method to further reduce the cost of resequencing where region-specific sequencing is required. Our multiplex/enrichment strategy produced high quality data with nominal reduction of sequencing depth. We undertook a genotyping study and were successful in the discovery of novel SNP alleles in all samples at uniplex, duplex and pentaplex levels. CONCLUSION: Our work describes the successful combination of a targeted enrichment method and index barcode multiplexing to reduce costs, time and labour associated with processing large sample sets. Furthermore, we have shown that the sequencing depth obtained is adequate for credible SNP genotyping analysis at uniplex, duplex and pentaplex levels. BioMed Central 2010-11-18 /pmc/articles/PMC3012606/ /pubmed/21083938 http://dx.doi.org/10.1186/1471-2164-11-641 Text en Copyright ©2010 Cummings et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Cummings, Nik
King, Rob
Rickers, Andre
Kaspi, Antony
Lunke, Sebastian
Haviv, Izhak
Jowett, Jeremy BM
Combining target enrichment with barcode multiplexing for high throughput SNP discovery
title Combining target enrichment with barcode multiplexing for high throughput SNP discovery
title_full Combining target enrichment with barcode multiplexing for high throughput SNP discovery
title_fullStr Combining target enrichment with barcode multiplexing for high throughput SNP discovery
title_full_unstemmed Combining target enrichment with barcode multiplexing for high throughput SNP discovery
title_short Combining target enrichment with barcode multiplexing for high throughput SNP discovery
title_sort combining target enrichment with barcode multiplexing for high throughput snp discovery
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3012606/
https://www.ncbi.nlm.nih.gov/pubmed/21083938
http://dx.doi.org/10.1186/1471-2164-11-641
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