Cargando…

ABO allele-level frequency estimation based on population-scale genotyping by next generation sequencing

BACKGROUND: The characterization of the ABO blood group status is vital for blood transfusion and solid organ transplantation. Several methods for the molecular characterization of the ABO gene, which encodes the alleles that give rise to the different ABO blood groups, have been described. However,...

Descripción completa

Detalles Bibliográficos
Autores principales: Lang, Kathrin, Wagner, Ines, Schöne, Bianca, Schöfl, Gerhard, Birkner, Kerstin, Hofmann, Jan A., Sauter, Jürgen, Pingel, Julia, Böhme, Irina, Schmidt, Alexander H., Lange, Vinzenz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4874024/
https://www.ncbi.nlm.nih.gov/pubmed/27207383
http://dx.doi.org/10.1186/s12864-016-2687-1
_version_ 1782432988222455808
author Lang, Kathrin
Wagner, Ines
Schöne, Bianca
Schöfl, Gerhard
Birkner, Kerstin
Hofmann, Jan A.
Sauter, Jürgen
Pingel, Julia
Böhme, Irina
Schmidt, Alexander H.
Lange, Vinzenz
author_facet Lang, Kathrin
Wagner, Ines
Schöne, Bianca
Schöfl, Gerhard
Birkner, Kerstin
Hofmann, Jan A.
Sauter, Jürgen
Pingel, Julia
Böhme, Irina
Schmidt, Alexander H.
Lange, Vinzenz
author_sort Lang, Kathrin
collection PubMed
description BACKGROUND: The characterization of the ABO blood group status is vital for blood transfusion and solid organ transplantation. Several methods for the molecular characterization of the ABO gene, which encodes the alleles that give rise to the different ABO blood groups, have been described. However, the application of those methods has so far been restricted to selected samples and not been applied to population-scale analysis. RESULTS: We describe a cost-effective method for high-throughput genotyping of the ABO system by next generation sequencing. Sample specific barcodes and sequencing adaptors are introduced during PCR, rendering the products suitable for direct sequencing on Illumina MiSeq or HiSeq instruments. Complete sequence coverage of exons 6 and 7 enables molecular discrimination of the ABO subgroups and many alleles. The workflow was applied to ABO genotype more than a million samples. We report the allele group frequencies calculated on a subset of more than 110,000 sampled individuals of German origin. Further we discuss the potential of the workflow for high resolution genotyping taking the observed allele group frequencies into account. Finally, sequence analysis revealed 287 distinct so far not described alleles of which the most abundant one was identified in 174 samples. CONCLUSIONS: The described workflow delivers high resolution ABO genotyping at low cost enabling population-scale molecular ABO characterization. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2687-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4874024
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-48740242016-05-21 ABO allele-level frequency estimation based on population-scale genotyping by next generation sequencing Lang, Kathrin Wagner, Ines Schöne, Bianca Schöfl, Gerhard Birkner, Kerstin Hofmann, Jan A. Sauter, Jürgen Pingel, Julia Böhme, Irina Schmidt, Alexander H. Lange, Vinzenz BMC Genomics Research Article BACKGROUND: The characterization of the ABO blood group status is vital for blood transfusion and solid organ transplantation. Several methods for the molecular characterization of the ABO gene, which encodes the alleles that give rise to the different ABO blood groups, have been described. However, the application of those methods has so far been restricted to selected samples and not been applied to population-scale analysis. RESULTS: We describe a cost-effective method for high-throughput genotyping of the ABO system by next generation sequencing. Sample specific barcodes and sequencing adaptors are introduced during PCR, rendering the products suitable for direct sequencing on Illumina MiSeq or HiSeq instruments. Complete sequence coverage of exons 6 and 7 enables molecular discrimination of the ABO subgroups and many alleles. The workflow was applied to ABO genotype more than a million samples. We report the allele group frequencies calculated on a subset of more than 110,000 sampled individuals of German origin. Further we discuss the potential of the workflow for high resolution genotyping taking the observed allele group frequencies into account. Finally, sequence analysis revealed 287 distinct so far not described alleles of which the most abundant one was identified in 174 samples. CONCLUSIONS: The described workflow delivers high resolution ABO genotyping at low cost enabling population-scale molecular ABO characterization. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2687-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-05-20 /pmc/articles/PMC4874024/ /pubmed/27207383 http://dx.doi.org/10.1186/s12864-016-2687-1 Text en © Lang et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Research Article
Lang, Kathrin
Wagner, Ines
Schöne, Bianca
Schöfl, Gerhard
Birkner, Kerstin
Hofmann, Jan A.
Sauter, Jürgen
Pingel, Julia
Böhme, Irina
Schmidt, Alexander H.
Lange, Vinzenz
ABO allele-level frequency estimation based on population-scale genotyping by next generation sequencing
title ABO allele-level frequency estimation based on population-scale genotyping by next generation sequencing
title_full ABO allele-level frequency estimation based on population-scale genotyping by next generation sequencing
title_fullStr ABO allele-level frequency estimation based on population-scale genotyping by next generation sequencing
title_full_unstemmed ABO allele-level frequency estimation based on population-scale genotyping by next generation sequencing
title_short ABO allele-level frequency estimation based on population-scale genotyping by next generation sequencing
title_sort abo allele-level frequency estimation based on population-scale genotyping by next generation sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4874024/
https://www.ncbi.nlm.nih.gov/pubmed/27207383
http://dx.doi.org/10.1186/s12864-016-2687-1
work_keys_str_mv AT langkathrin aboallelelevelfrequencyestimationbasedonpopulationscalegenotypingbynextgenerationsequencing
AT wagnerines aboallelelevelfrequencyestimationbasedonpopulationscalegenotypingbynextgenerationsequencing
AT schonebianca aboallelelevelfrequencyestimationbasedonpopulationscalegenotypingbynextgenerationsequencing
AT schoflgerhard aboallelelevelfrequencyestimationbasedonpopulationscalegenotypingbynextgenerationsequencing
AT birknerkerstin aboallelelevelfrequencyestimationbasedonpopulationscalegenotypingbynextgenerationsequencing
AT hofmannjana aboallelelevelfrequencyestimationbasedonpopulationscalegenotypingbynextgenerationsequencing
AT sauterjurgen aboallelelevelfrequencyestimationbasedonpopulationscalegenotypingbynextgenerationsequencing
AT pingeljulia aboallelelevelfrequencyestimationbasedonpopulationscalegenotypingbynextgenerationsequencing
AT bohmeirina aboallelelevelfrequencyestimationbasedonpopulationscalegenotypingbynextgenerationsequencing
AT schmidtalexanderh aboallelelevelfrequencyestimationbasedonpopulationscalegenotypingbynextgenerationsequencing
AT langevinzenz aboallelelevelfrequencyestimationbasedonpopulationscalegenotypingbynextgenerationsequencing