Evidence map›Paper›PMID 30312480›Full record

ArticleTransfusion2018

Genomic coordinates and continental distribution of 120 blood group variants reported by the 1000 Genomes Project.

Celina Montemayor-Garcia, Panagiota Karagianni, David A Stiles, Erika M Reese, Danielle A Smellie, Debrean A Loy, Kimberly Y Levy, Magdalene Nwokocha, Marina U Bueno, Jeffery L Miller and 1 more

Open access · greenAbstract read
In one paragraph

Article in Transfusion, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Review
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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

11 authors at 3 institutions in 2 countries.

Celina Montemayor-GarciaDepartment of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland.
Panagiota KaragianniB.S.R.C. Alexander Fleming, Vari, Greece.
David A StilesDepartment of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland.
Erika M ReeseDepartment of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland.
Danielle A SmellieDepartment of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland.
Debrean A LoyDepartment of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland.
Kimberly Y LevyDepartment of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland.
Magdalene NwokochaDepartment of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland.
Marina U BuenoDepartment of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland.
Jeffery L MillerGenetics of Development and Disease Branch, NIDDK, National Institutes of Health, Bethesda, Maryland.
Harvey G KleinDepartment of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland.
National Institutes of Health Clinical Center · USAlexander Fleming Biomedical Sciences Research Center · GRNational Institutes of Health · US

Funding

Intramural NIH HHS Z99 CL999999
6 · The paper itself

Abstract

backgroundThe 1000 Genomes Project provides a database of genomic variants from whole genome sequencing of 2504 individuals across five continental superpopulations. This database can enrich our background knowledge of worldwide blood group variant geographic distribution and identify novel variants of potential clinical significance. STUDY DESIGN AND

methodsThe 1000 Genomes database was analyzed to 1) expand knowledge about continental distributions of known blood group variants, 2) identify novel variants with antigenic potential and their geographic association, and 3) establish a baseline scaffold of chromosomal coordinates to translate next-generation sequencing output files into a predicted red blood cell (RBC) phenotype.

resultsForty-two genes were investigated. A total of 604 known variants were mapped to the GRCh37 assembly; 120 of these were reported by 1000 Genomes in at least one superpopulation. All queried variants, including the ACKR1 promoter silencing mutation, are located within exon pull-down boundaries. The analysis yielded 41 novel population distributions for 34 known variants, as well as 12 novel blood group variants that warrant further validation and study. Four prediction algorithms collectively flagged 79 of 109 (72%) known antigenic or enzymatically detrimental blood group variants, while 4 of 12 variants that do not result in an altered RBC phenotype were flagged as deleterious.

conclusionNext-generation sequencing has known potential for high-throughput and extended RBC phenotype prediction; a database of GRCh37 and GRCh38 chromosomal coordinates for 120 worldwide blood group variants is provided as a basis for this clinical application.

Indexed as

AlgorithmsBlood Group AntigensGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansBlood Group Antigens

Identifiers

PMID30312480
PMCPMC7302860
OpenAlexW2896566797

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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.