Evidence map›Paper›PMID 19536152›Full record

ArticleGenes and immunity2009

The evolution and diversity of TNF block haplotypes in European, Asian and Australian Aboriginal populations.

F P Valente, C R T Tan, S E Temple, M Phipps, C S Witt, G Kaur, I Gut, S McGinn, R J N Allcock, C S N Chew and 1 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Genes and immunity, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. International journal of molecular sciences · 2020
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
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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.

F P ValenteSchool of Bioinformatics, University of Paris Diderot, Paris, France.
C R T Tan
S E Temple
M Phipps
C S Witt
G Kaur
I Gut
S McGinn
R J N Allcock
C S N Chew
P Price

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The region spanning the tumour necrosis factor (TNF) cluster in the human major histocompatibility complex is implicated in susceptibility to immunopathological disease, but ethnic differences and linkage disequilibrium have hampered identification of critical polymorphisms. Here, we investigate Europeans, Asians (Bidayuh, Chinese, Indian, Jehai, Malay, Temuan) and Australian Aborigines to provide a framework for disease-association studies. DNA from 999 unrelated healthy donors was genotyped at 38 loci, primarily in coding and promoter regions over a 60-kb region spanning seven genes near TNF. The PHASE algorithm was used to statistically infer TNF block haplotypes and estimate their frequencies in each population. The TNF block is carried as 31 haplotypes in all populations combined, with <19 in any single population. Only six haplotypes have a unique tag single nucleotide polymorphism (SNP) valid for all populations, but seven haplotypes could be tagged with individual SNPs in selected populations. Four to eight TNF block haplotypes exist across all ethnicities, and hence must pre-date the divergence of these populations from a common ancestor >160,000 years ago. Some haplotypes are unique to isolated populations, but they do not contain unique SNP. Hence, they reflect restricted migration and/or extinction of some families rather than de novo mutation.

Indexed as

AllelesAsian PeopleChromosomes, Human, Pair 6Evolution, MolecularGene FrequencyGenetic VariationHaplotypesHumansPhylogenyPolymorphism, Single NucleotidePromoter Regions, GeneticTumor Necrosis FactorsWhite PeopleTumor Necrosis Factors

Identifiers

PMID19536152

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.