Evidence map›Paper›PMID 23861805›Full record

ArticlePloS one2013

Genetic variability in markers of HLA-C expression in two diverse South African populations.

Nikki L Gentle, Maria Paximadis, Adrian Puren, Caroline T Tiemessen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Allorecognition of HLA-C Mismatches by CD8Frontiers in immunology · 2016
    Article
  5. Review
  6. Article
  7. 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

4 authors at 2 institutions in 1 country.

Nikki L GentleCentre for HIV and STIs, National Institute for Communicable Diseases, National Health Laboratory Services, Johannesburg, Gauteng, South Africa.
Maria Paximadis
Adrian Puren
Caroline T Tiemessen
National Health Laboratory Service · ZAUniversity of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An insertion-deletion (indel) polymorphism within the 3' untranslated region (UTR) of HLA-C has been shown to be involved in the regulation of HLA-C expression. Individuals who carry a deletion at this position exhibit increased HLA-C expression, which associates with lower viral set point in HIV-1 infected individuals. This 263 indel (rs67384697) is reported to be in strong linkage disequilibrium (LD) with a single nucleotide polymorphism (SNP) 35 kilobases upstream of HLA-C (-35T/C; rs9264942) in Caucasian individuals, making this SNP a potential marker for both HLA-C expression and HIV-1 disease progression. We therefore examined genetic variation within the HLA-C 3' UTR of 265 Black and Caucasian South Africans by direct sequencing and identified haplotypes encompassing the 263 indel and another indel at position 230 in both populations. Concomitant evaluation of variability at the -35 SNP revealed this polymorphism to be an inappropriate marker for the 263 indel in these populations. These findings provide important insights into genetic variability within the regulatory regions of HLA-C that have potential implications for our understanding of the regulation of HLA-C expression and its impact on HIV-1 disease progression.

Indexed as

Genetic Variation3' Untranslated RegionsAllelesBlack PeopleHaplotypesHLA-C AntigensHumansINDEL MutationLinkage DisequilibriumPolymorphism, Single NucleotidePopulation SurveillanceSouth AfricaWhite People3' Untranslated RegionsHLA-C Antigens

Identifiers

PMID23861805
PMCPMC3702582
OpenAlexW2045396269

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.