Evidence map›Paper›PMID 42344433›Full record

ReviewTransfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie2023

Long-Read Sequencing in Blood Group Genetics.

Gian Andri Thun, Morgan Gueuning, Maja P Mattle-Greminger

Abstract readReview
In one paragraph

Review in Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Introduction of an Optimized Protocol for Long-Read Nanopore Sequencing of Blood Group Genes in Immunohematology Case Studies.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. A Bioinformatically Initiated Approach to Evaluate GATA1 Regulatory Regions in Samples with Weak D, Del, or D- Phenotypes Despite NormalTransfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2024
    Article
  6. Article
  7. Review
  8. Omics and Machine Learning in Transfusion Medicine.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    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

3 authors.

Gian Andri ThunDepartment of Research and Development, Blood Transfusion Service Zurich, Swiss Red Cross, Schlieren, Switzerland.
Morgan GueuningDepartment of Research and Development, Blood Transfusion Service Zurich, Swiss Red Cross, Schlieren, Switzerland.
Maja P Mattle-GremingerDepartment of Research and Development, Blood Transfusion Service Zurich, Swiss Red Cross, Schlieren, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The key advantages of latest third-generation long-read sequencing (TGS) technologies include the ability to resolve long haplotypes and to characterize genomic regions that are challenging to analyze with short-read sequencing. Recent advancements in TGS technologies have significantly improved accuracy, a crucial requirement for the transition from research to diagnostic applications. Summary: In the field of immunohematology, the adoption of TGS is still in its early stages and published applications are scarce. An undeniable utility of TGS in blood group genomics is the ability to resolve ambiguous genotype-phenotype blood group results. In particular, hybrid genes and other large structural variants, as commonly found in the RHD/CE and MNS blood group systems, cause such discrepant results that can hardly be resolved by conventional methods. Long-read sequencing also greatly aids to generate high-standard reference alleles, establish haplotype sequence databases, or could even serve for high-resolution genotyping of all blood groups in parallel. Additionally, TGS holds the potential to close important knowledge gaps in blood group transcriptomics and epigenetics. Key Messages: The aims of this review were to examine the prospects of TGS technologies within the field of immunohematology and to highlight practical applications. Furthermore, we present a comprehensive overview of the existing and emerging wet-laboratory strategies for data generation, as well as a summary on bioinformatic data analysis methods. Finally, we provide an outlook on anticipated advancements in the near future.

Indexed as

Blood group alleleHaplotypeLong-read sequencingStructural variationThird-generation sequencing

Identifiers

PMID42344433
PMCPMC13287439

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.