Evidence map›Paper›PMID 38948735›Full record

ArticlebioRxiv : the preprint server for biology2024

Characterization of Blood Group Variants in an Omani Population by Comparison of Whole Genome Sequencing and Serology.

Paige E Haffener, Arwa Z Al-Riyami, Shoaib Al-Zadjali, Mohammed Al-Rawahi, Saif Al Hosni, Ali Al Marhoobi, Ammar Al Sheriyani, Ellen M Leffler

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Paige E HaffenerDepartment of Human Genetics, The University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID 0000-0003-2213-8476
Arwa Z Al-RiyamiDepartment of Hematology, Sultan Qaboos University Hospital, University Medical City, Muscat, Oman.ORCID 0000-0001-8649-0650
Shoaib Al-ZadjaliSultan Qaboos Comprehensive Cancer Center, University Medical City, Muscat, Oman.
Mohammed Al-RawahiDepartment of Hematology, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman.
Saif Al HosniDepartment of Hematology, Sultan Qaboos University Hospital, University Medical City, Muscat, Oman.
Ali Al MarhoobiDepartment of Hematology, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman.
Ammar Al SheriyaniRoyal Oman Police Hospital, Muscat, Oman.
Ellen M LefflerDepartment of Human Genetics, The University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID 0000-0002-1614-9366

Funding

TRAINING PROGRAM IN GENETICST32GM007464 · NIGMS · UNIVERSITY OF UTAH · PI GRUNWALD, DAVID J., STANFIELD, GILLIAN · 1985 to 2020
$6.1M
University of Utah Genetics Training ProgramT32GM141848 · NIGMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI GOLIC, KENT G, GRUNWALD, DAVID J. · 2021 to 2025
$2.9M
Genomic signatures of primate-pathogen interactionsR35GM147709 · NIGMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Ellen Leffler · 2022 to 2026
$1.9M
From genomics to natural language processing: A protected environment for research computing in the health scienceS10OD021644 · OD · UNIVERSITY OF UTAH · PI CHEATHAM, THOMAS E. · 2017 to 2017
$494k
NIGMS NIH HHS R35 GM147709NIGMS NIH HHS T32 GM007464NIGMS NIH HHS T32 GM141848NIH HHS S10 OD021644
6 · The paper itself

Abstract

Although blood group variation was first described over a century ago, our understanding of the genetic variation affecting antigenic expression on the red blood cell surface in many populations is lacking. This deficit limits the ability to accurately type patients, especially as serological testing is not available for all described blood groups, and targeted genotyping panels may lack rare or population-specific variants. Here, we perform serological assays across 24 antigens and whole genome sequencing on 100 Omanis, a population underrepresented in genomic databases. We inferred blood group phenotypes using the most commonly typed genetic variants. The comparison of serological to inferred phenotypes resulted in an average concordance of 96.9%. Among the 22 discordances, we identify seven known variants in four blood groups that, to our knowledge, have not been previously reported in Omanis. Incorporating these variants for phenotype inference, concordance increases to 98.8%. Additionally, we describe five candidate variants in the Lewis, Lutheran, MNS, and P1 blood groups that may affect antigenic expression, although further functional confirmation is required. Notably, we identify several blood group alleles most common in African populations, likely introduced to Oman by gene flow over the last thousand years. These findings highlight the need to evaluate individual populations and their population history when considering variants to include in genotype panels for blood group typing. This research will inform future work in blood banks and transfusion services.

Identifiers

PMID38948735
PMCPMC11212902

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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.