Evidence map›Paper›PMID 35403234›Full record

ArticleTransfusion2022

The genomic landscape of blood groups in Indigenous Australians in remote communities.

Sudhir Jadhao, Wendy Hoy, Simon Lee, Hardip R Patel, Brendan J McMorran, Robert L Flower, Shivashankar H Nagaraj

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Transfusion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Equity in blood transfusion precision services.International journal for equity in health · 2024
    Article
  3. Article
  4. Article
  5. Article
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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

7 authors at 4 institutions in 1 country.

Sudhir JadhaoCentre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, Queensland, Australia.ORCID 0000-0002-1497-3044
Wendy HoyFaculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
Simon LeeCentre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, Queensland, Australia.
Hardip R PatelNational Centre for Indigenous Genomics, Australian National University, Canberra, Australian Capital Territory, Australia.
Brendan J McMorranDepartment of Immunology and Infectious Disease, The John Curtin School of Medical Research, College of Health and Medicine, The Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0003-1845-8872
Robert L FlowerResearch and Development, Australian Red Cross Lifeblood Red Cell Reference Laboratory, Brisbane, Queensland, Australia.
Shivashankar H NagarajCentre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, Queensland, Australia.
Translational Research Institute · AUAustralian National University · AUAustralian Red Cross Lifeblood · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRed blood cell (RBC) membrane-associated blood group systems are clinically significant. Alloimmunisation is a persistent risk associated with blood transfusion owing to the antigen polymorphisms among these RBC-associated blood groups. Next-generation sequencing (NGS) offers an opportunity to characterize the blood group variant profile of a given individual. Australia comprises a large multiethnic population where most blood donors are Caucasian and blood group variants remain poorly studied among Indigenous Australians. In this study, we focused on the Tiwi Islanders, who have lived in relative isolation for thousands of years. METHODS AND MATERIALS: We predicted the blood group phenotype profiles in the Tiwi (457) and 1000 Genomes Phase 3 (1KGP3-2504) cohort individuals using RBCeq (https://www.rbceq.org/). The predicted phenotype prevalence was compared with the previous literature report.

resultsWe report, for the first time, comprehensive blood group profiles corresponding to the 35 known blood group systems among the Indigenous Tiwi islander population and identify possible novel antigen variants therein. Our results demonstrate that the genetic makeup of the Tiwi participants is distinct from that of other populations, with a low prevalence of LU (Au[a-b+]) and ABO (A2) and D+C+c+E+e- phenotype, an absence of Diego blood group variants, and a unique RHD (DIII type4) variant.

conclusionOur results may contribute to the development of a database of predicted phenotype donors among the Tiwi population and aid in improving transfusion safety for the ~2800 Tiwi people and the ~800,000 other Indigenous Australians throughout the nation.

Indexed as

Blood Group AntigensAllelesAustraliaBlood DonorsGenomicsHumansBlood Group Antigensalloimmunisationblood group systemnext-generation sequencing (NGS)novel antigenrare antigenred blood cellssingle nucleotide variants (SNV)transfusionweak antigen

Identifiers

PMID35403234
PMCPMC9544628
OpenAlexW4223501873

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.