Evidence map›Paper›PMID 27207383›Full record

ArticleBMC genomics2016

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

Kathrin Lang, Ines Wagner, Bianca Schöne, Gerhard Schöfl, Kerstin Birkner, Jan A Hofmann, Jürgen Sauter, Julia Pingel, Irina Böhme, Alexander H Schmidt and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Advances inFrontiers in immunology · 2026
    Article
  3. Article
  4. Utility ofAnnals of laboratory medicine · 2025
    Article
  5. Article
  6. Long-Read Sequencing in Blood Group Genetics.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    Review
  7. Article
  8. High population frequencies ofFrontiers in immunology · 2023
    Article
  9. Analysis of the Genomic Sequence ofFrontiers in immunology · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Defining Blood Group Gene Reference Alleles by Long-Read Sequencing: Proof of Concept in theTransfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2020
    Article
  15. Article
  16. High-ThroughputFrontiers in immunology · 2020
    Article
  17. Bioinformatics Strategies, Challenges, and Opportunities for Next Generation Sequencing-Based HLA Genotyping.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2019
    Review
  18. Article
  19. Article
  20. Allele-LevelFrontiers in immunology · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Kathrin LangDKMS Life Science Lab, Blasewitzer Str. 43, 01307, Dresden, Germany.
Ines WagnerDKMS Life Science Lab, Blasewitzer Str. 43, 01307, Dresden, Germany.
Bianca SchöneDKMS Life Science Lab, Blasewitzer Str. 43, 01307, Dresden, Germany.
Gerhard SchöflDKMS Life Science Lab, Blasewitzer Str. 43, 01307, Dresden, Germany.
Kerstin BirknerDKMS Life Science Lab, Blasewitzer Str. 43, 01307, Dresden, Germany.
Jan A HofmannDKMS, Kressbach 1, 72072, Tübingen, Germany.
Jürgen SauterDKMS, Kressbach 1, 72072, Tübingen, Germany.
Julia PingelDKMS, Kressbach 1, 72072, Tübingen, Germany.
Irina BöhmeDKMS Life Science Lab, Blasewitzer Str. 43, 01307, Dresden, Germany.
Alexander H SchmidtDKMS Life Science Lab, Blasewitzer Str. 43, 01307, Dresden, Germany.
Vinzenz LangeDKMS Life Science Lab, Blasewitzer Str. 43, 01307, Dresden, Germany. lange@dkms-lab.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

resultsWe 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.

conclusionsThe described workflow delivers high resolution ABO genotyping at low cost enabling population-scale molecular ABO characterization.

Indexed as

ABO Blood-Group SystemAllelesGene FrequencyGenotypeHigh-Throughput Nucleotide SequencingHumansMolecular TypingReproducibility of ResultsWorkflowABO Blood-Group SystemABOAmpliconBlood groupGenotypingIlluminaNGS

Identifiers

PMID27207383
PMCPMC4874024

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.