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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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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/. |
format | Online Article Text |
id | pubmed-3849977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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