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Genotyping of human neutrophil antigens (HNA) from whole genome sequencing data

BACKGROUND: Neutrophil antigens are involved in a variety of clinical conditions including transfusion-related acute lung injury (TRALI) and other transfusion-related diseases. Recently, there are five characterized groups of human neutrophil antigen (HNA) systems, the HNA1 to 5. Characterization of...

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Autores principales: Chu, Hsueh-Ting, Lin, Han, Tsao, Theresa Tsun-Hui, Chang, Chun-Fan, Hsiao, William WL, Yeh, Tze-Jung, Chang, Ching-Mao, Liu, Yen-Wenn, Wang, Tse-Yi, Yang, Ko-Chun, Chen, Tsung-Jui, Chen, Jen-Chih, Chen, Kuang-Chi, Kao, Cheng-Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849977/
https://www.ncbi.nlm.nih.gov/pubmed/24028078
http://dx.doi.org/10.1186/1755-8794-6-31
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author Chu, Hsueh-Ting
Lin, Han
Tsao, Theresa Tsun-Hui
Chang, Chun-Fan
Hsiao, William WL
Yeh, Tze-Jung
Chang, Ching-Mao
Liu, Yen-Wenn
Wang, Tse-Yi
Yang, Ko-Chun
Chen, Tsung-Jui
Chen, Jen-Chih
Chen, Kuang-Chi
Kao, Cheng-Yan
author_facet Chu, Hsueh-Ting
Lin, Han
Tsao, Theresa Tsun-Hui
Chang, Chun-Fan
Hsiao, William WL
Yeh, Tze-Jung
Chang, Ching-Mao
Liu, Yen-Wenn
Wang, Tse-Yi
Yang, Ko-Chun
Chen, Tsung-Jui
Chen, Jen-Chih
Chen, Kuang-Chi
Kao, Cheng-Yan
author_sort Chu, Hsueh-Ting
collection PubMed
description BACKGROUND: Neutrophil antigens are involved in a variety of clinical conditions including transfusion-related acute lung injury (TRALI) and other transfusion-related diseases. Recently, there are five characterized groups of human neutrophil antigen (HNA) systems, the HNA1 to 5. Characterization of all neutrophil antigens from whole genome sequencing (WGS) data may be accomplished for revealing complete genotyping formats of neutrophil antigens collectively at genome level with molecular variations which may respectively be revealed with available genotyping techniques for neutrophil antigens conventionally. RESULTS: We developed a computing method for the genotyping of human neutrophil antigens. Six samples from two families, available from the 1000 Genomes projects, were used for a HNA typing test. There are 500 ~ 3000 reads per sample filtered from the adopted human WGS datasets in order for identifying single nucleotide polymorphisms (SNPs) of neutrophil antigens. The visualization of read alignment shows that the yield reads from WGS dataset are enough to cover all of the SNP loci for the antigen system: HNA1, HNA3, HNA4 and HNA5. Consequently, our implemented Bioinformatics tool successfully revealed HNA types on all of the six samples including sequence-based typing (SBT) as well as PCR sequence-specific oligonucleotide probes (SSOP), PCR sequence-specific primers (SSP) and PCR restriction fragment length polymorphism (RFLP) along with parentage possibility. CONCLUSIONS: The next-generation sequencing technology strives to deliver affordable and non-biased sequencing results, hence the complete genotyping formats of HNA may be reported collectively from mining the output data of WGS. The study shows the feasibility of HNA genotyping through new WGS technologies. Our proposed algorithmic methodology is implemented in a HNATyping software package with user’s guide available to the public at http://sourceforge.net/projects/hnatyping/.
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spelling pubmed-38499772013-12-18 Genotyping of human neutrophil antigens (HNA) from whole genome sequencing data Chu, Hsueh-Ting Lin, Han Tsao, Theresa Tsun-Hui Chang, Chun-Fan Hsiao, William WL Yeh, Tze-Jung Chang, Ching-Mao Liu, Yen-Wenn Wang, Tse-Yi Yang, Ko-Chun Chen, Tsung-Jui Chen, Jen-Chih Chen, Kuang-Chi Kao, Cheng-Yan BMC Med Genomics Software BACKGROUND: Neutrophil antigens are involved in a variety of clinical conditions including transfusion-related acute lung injury (TRALI) and other transfusion-related diseases. Recently, there are five characterized groups of human neutrophil antigen (HNA) systems, the HNA1 to 5. Characterization of all neutrophil antigens from whole genome sequencing (WGS) data may be accomplished for revealing complete genotyping formats of neutrophil antigens collectively at genome level with molecular variations which may respectively be revealed with available genotyping techniques for neutrophil antigens conventionally. RESULTS: We developed a computing method for the genotyping of human neutrophil antigens. Six samples from two families, available from the 1000 Genomes projects, were used for a HNA typing test. There are 500 ~ 3000 reads per sample filtered from the adopted human WGS datasets in order for identifying single nucleotide polymorphisms (SNPs) of neutrophil antigens. The visualization of read alignment shows that the yield reads from WGS dataset are enough to cover all of the SNP loci for the antigen system: HNA1, HNA3, HNA4 and HNA5. Consequently, our implemented Bioinformatics tool successfully revealed HNA types on all of the six samples including sequence-based typing (SBT) as well as PCR sequence-specific oligonucleotide probes (SSOP), PCR sequence-specific primers (SSP) and PCR restriction fragment length polymorphism (RFLP) along with parentage possibility. CONCLUSIONS: The next-generation sequencing technology strives to deliver affordable and non-biased sequencing results, hence the complete genotyping formats of HNA may be reported collectively from mining the output data of WGS. The study shows the feasibility of HNA genotyping through new WGS technologies. Our proposed algorithmic methodology is implemented in a HNATyping software package with user’s guide available to the public at http://sourceforge.net/projects/hnatyping/. BioMed Central 2013-09-12 /pmc/articles/PMC3849977/ /pubmed/24028078 http://dx.doi.org/10.1186/1755-8794-6-31 Text en Copyright © 2013 Chu 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 Software
Chu, Hsueh-Ting
Lin, Han
Tsao, Theresa Tsun-Hui
Chang, Chun-Fan
Hsiao, William WL
Yeh, Tze-Jung
Chang, Ching-Mao
Liu, Yen-Wenn
Wang, Tse-Yi
Yang, Ko-Chun
Chen, Tsung-Jui
Chen, Jen-Chih
Chen, Kuang-Chi
Kao, Cheng-Yan
Genotyping of human neutrophil antigens (HNA) from whole genome sequencing data
title Genotyping of human neutrophil antigens (HNA) from whole genome sequencing data
title_full Genotyping of human neutrophil antigens (HNA) from whole genome sequencing data
title_fullStr Genotyping of human neutrophil antigens (HNA) from whole genome sequencing data
title_full_unstemmed Genotyping of human neutrophil antigens (HNA) from whole genome sequencing data
title_short Genotyping of human neutrophil antigens (HNA) from whole genome sequencing data
title_sort genotyping of human neutrophil antigens (hna) from whole genome sequencing data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849977/
https://www.ncbi.nlm.nih.gov/pubmed/24028078
http://dx.doi.org/10.1186/1755-8794-6-31
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