Evidence map›Paper›PMID 35420653›Full record

ArticleBlood advances2022

Using whole-genome sequencing to characterize clinically significant blood groups among healthy older Australians.

Sudhir Jadhao, Candice Davison, Eileen V Roulis, Simon Lee, Paul Lacaze, Moeen Riaz, John J McNeil, David M Thomas, Natalie M Pecheniuk, Catherine A Hyland and 2 more

Abstract read
In one paragraph

Article in Blood advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Sudhir JadhaoFaculty of Health, Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD, Australia;
Candice DavisonAustralian Red Cross Blood Service Lifeblood, Brisbane, QLD, Australia.ORCID 0000-0003-3705-2544
Eileen V RoulisAustralian Red Cross Blood Service Lifeblood, Brisbane, QLD, Australia.ORCID 0000-0001-6824-5432
Simon LeeFaculty of Health, Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD, Australia;
Paul LacazeDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia; and.ORCID 0000-0002-0902-6798
Moeen RiazDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia; and.
John J McNeilDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia; and.ORCID 0000-0002-1049-5129
David M ThomasGarvan Institute of Medical Research, Sydney, NSW, Australia.ORCID 0000-0002-2527-5428
Natalie M PecheniukFaculty of Health, Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD, Australia;
Catherine A HylandAustralian Red Cross Blood Service Lifeblood, Brisbane, QLD, Australia.
Robert L FlowerAustralian Red Cross Blood Service Lifeblood, Brisbane, QLD, Australia.ORCID 0000-0002-7257-1844
Shivashankar H NagarajFaculty of Health, Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD, Australia;ORCID 0000-0003-3463-6835

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There have been no comprehensive studies of a full range of blood group polymorphisms within the Australian population. This problem is compounded by the absence of any databases carrying genomic information on chronically transfused patients and low frequency blood group antigens in Australia. Here, we use RBCeq, a web server-based blood group genotyping software, to identify unique blood group variants among Australians and compare the variation detected vs global data. Whole-genome sequencing data were analyzed for 2796 healthy older Australians from the Medical Genome Reference Bank and compared with data from 1000 Genomes phase 3 (1KGP3) databases comprising 661 African, 347 American, 503 European, 504 East Asian, and 489 South Asian participants. There were 661 rare variants detected in this Australian sample population, including 9 variants that had clinical associations. Notably, we identified 80 variants that were computationally predicted to be novel and deleterious. No clinically significant rare or novel variants were found associated with the genetically complex ABO blood group system. For the Rh blood group system, 2 novel and 15 rare variants were found. Our detailed blood group profiling results provide a starting point for the creation of an Australian blood group variant database.

Indexed as

Blood Group AntigensAsian PeopleAustraliaHumansPolymorphism, Single NucleotideUnited StatesWhole Genome SequencingBlood Group Antigens

Identifiers

PMID35420653
PMCPMC9636324

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Registered trials

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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.