Evidence map›Paper›PMID 26391888›Full record

ArticleScientific reports2015

Genome-wide homozygosity signature and risk of Hodgkin lymphoma.

Amit Sud, Rosie Cooke, Anthony J Swerdlow, Richard S Houlston

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genome-wide homozygosity and risk of four non-Hodgkin lymphoma subtypes.Journal of translational genetics and genomics · 2021
    Article
  6. Article
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  8. 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

4 authors at 1 institution in 1 country.

Amit SudDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Rosie CookeDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Anthony J SwerdlowDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Institute of Cancer Research · GB

Funding

Cancer Research UK 15116Cancer Research UK C1298/A8362Medical Research Council G0000934Wellcome TrustWellcome Trust 068545/Z/02Wellcome Trust 076113Wellcome Trust 085475
6 · The paper itself

Abstract

Recent studies have reported that regions of homozygosity (ROH) in the genome are detectable in outbred populations and can be associated with an increased risk of malignancy. To examine whether homozygosity is associated with an increased risk of developing Hodgkin lymphoma (HL) we analysed 589 HL cases and 5,199 controls genotyped for 484,072 tag single nucleotide polymorphisms (SNPs). Across the genome the cumulative distribution of ROH was not significantly different between cases and controls. Seven ROH at 4q22.3, 4q32.2, 7p12.3-14.1, 7p22.2, 10p11.22-23, 19q13.12-2 and 19p13.2 were associated with HL risk at P < 0.01. Intriguingly 4q22.3 harbours an ROH to which the nuclear factor NF-kappa-B p105 subunit (NFKB1) maps (P = 0.002). The ROH at 19q13.12-2 has previously been implicated in B-cell precursor acute lymphoblastic leukaemia. Aside from these observations which require validation, it is unlikely that levels of measured homozygosity caused by autozygosity, uniparental isodisomy or hemizygosity play a major role in defining HL risk in predominantly outbred populations.

Indexed as

Genes, RecessiveGenome-Wide Association StudyHomozygoteCase-Control StudiesGene FrequencyGenotypeHodgkin DiseaseHumansPolymorphism, Single NucleotidePopulation SurveillanceRiskUnited Kingdom

Identifiers

PMID26391888
PMCPMC4585760
OpenAlexW2395627792

What OpenQuestion holds

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LicenceCC BY
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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.