Evidence map›Paper›PMID 37697701›Full record

ArticleJournal of genetics2023

Mercy Rophina, Teh Lay Kek, Sridhar Sivasubbu, Vinod Scaria, Mohd Zaki Salleh

Abstract read
PubMed
In one paragraph

Article in Journal of genetics, 2023. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Mercy RophinaCSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, Delhi 110 025, India.vinods@igib.in.
Teh Lay Kek
Sridhar Sivasubbu
Vinod Scaria
Mohd Zaki Salleh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differences in the distribution of RBC antigens defining the blood group types among different populations have been well established. Fewer studies exist that have explored the blood group profiles of indigenous populations worldwide. With the availability of population-scale genomic datasets, we have explored the blood group profiles of theOrang Aslis, who are the indigenous population in Peninsular Malaysia and provide a systematic comparison of the same with major global population datasets. Variant call files fromwhole genome sequence data (hg19) of 114 Orang Asli were retrieved from The Orang Asli Genome Project. Systematic variant annotations were performed using ANNOVAR and only those variants mapping back to genes associated with 43 blood group systems and transcription factors KLF1 and GATA1 were filtered. Blood group-associated allele and phenotype frequencies were determined and were duly compared with other datasets including Singapore SequencingMalay Project, aboriginal western desert Australians and global population datasets including The 1000 Genomes Project and gnomAD. This study reports four alleles (rs12075, rs7683365, rs586178 and rs2298720) of DUFFY, MNS, RH and KIDD blood group systems which were significantly distinct between indigenous Orang Asli and cosmopolitanMalaysians. Eighteen alleles that belong to 14 blood group systems were found statistically distinct in comparison to global population datasets. Although not much significant differences were observed in phenotypes of most blood group systems, major insights were observed when comparing Orang Asli with aboriginal Australians and cosmopolitanMalaysians.This study serves as the first of its kind to utilize genomic data to interpret blood group antigen profiles of the OrangAsli population. In addition, a systematic comparison of blood group profiles with related populations was also analysed and documented.

Indexed as

Blood Group AntigensAllelesAustraliaGenotypeHumansMalaysiaBlood Group Antigens

Identifiers

PMID37697701

What OpenQuestion holds

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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.