Evidence map›Paper›PMID 27123581›Full record

ArticlePloS one2016

Evidence of Inbreeding in Hodgkin Lymphoma.

Hauke Thomsen, Miguel Inacio da Silva Filho, Michael Fuchs, Sabine Ponader, Elke Pogge von Strandmann, Lewin Eisele, Stefan Herms, Per Hoffmann, Andreas Engert, Kari Hemminki and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. A meta-analysis of consanguinity and breast cancer.Irish journal of medical science · 2018
    Pooled it
  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
  7. Genetic diversity, inbreeding and cancer.Proceedings. Biological sciences · 2018
    Review
  8. Article
  9. 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

11 authors at 7 institutions in 3 countries.

Hauke ThomsenGerman Cancer Research Center (DKFZ), Division of Molecular Genetic Epidemiology (C050), Heidelberg, 69120, Germany.
Miguel Inacio da Silva FilhoGerman Cancer Research Center (DKFZ), Division of Molecular Genetic Epidemiology (C050), Heidelberg, 69120, Germany.
Michael FuchsDepartment of Internal Medicine I, University Hospital of Cologne, Cologne, 50924, Germany.
Sabine PonaderDepartment of Internal Medicine I, University Hospital of Cologne, Cologne, 50924, Germany.
Elke Pogge von StrandmannDepartment of Internal Medicine I, University Hospital of Cologne, Cologne, 50924, Germany.
Lewin EiseleInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, 45122, Germany.
Stefan HermsInstitute of Human Genetics and Department of Genomics, University of Bonn, Bonn, 53127, Germany.
Per HoffmannInstitute of Human Genetics and Department of Genomics, University of Bonn, Bonn, 53127, Germany.
Andreas EngertDepartment of Internal Medicine I, University Hospital of Cologne, Cologne, 50924, Germany.
Kari HemminkiGerman Cancer Research Center (DKFZ), Division of Molecular Genetic Epidemiology (C050), Heidelberg, 69120, Germany.
Asta FörstiGerman Cancer Research Center (DKFZ), Division of Molecular Genetic Epidemiology (C050), Heidelberg, 69120, Germany.
University Hospital Cologne · DEGerman Cancer Research Center · DEHeidelberg University · DELund University · SEUniversity of Basel · CHUniversity of Bonn · DEUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have identified several, mainly co-dominantly acting, single-nucleotide polymorphisms (SNPs) associated with Hodgkin lymphoma (HL). We searched for recessively acting disease loci by performing an analysis of runs of homozygosity (ROH) based on windows of homozygous SNP-blocks and by calculating genomic inbreeding coefficients on a SNP-wise basis. We used data from a previous GWAS with 906 cases and 1217 controls from a population with a long history of no matings between relatives. Ten recurrent ROHs were identified among 25 055 ROHs across all individuals but their association with HL was not genome-wide significant. All recurrent ROHs showed significant evidence for natural selection. As a novel finding genomic inbreeding among cases was significantly higher than among controls (P = 2.11*10-14) even after correcting for covariates. Higher inbreeding among the cases was mainly based on a group of individuals with a higher average length of ROHs per person. This result suggests a correlation of higher levels of inbreeding with higher cancer incidence and might reflect the existence of recessive alleles causing HL. Genomic inbreeding may result in a higher expression of deleterious recessive genes within a population.

Indexed as

ConsanguinityGenetic Predisposition to DiseaseHomozygoteSelection, GeneticAllelesCase-Control StudiesFemaleGene FrequencyGenes, RecessiveGenetic LociGenome, HumanGenome-Wide Association StudyGermanyHodgkin DiseaseHumansMale

Identifiers

PMID27123581
PMCPMC4849743
OpenAlexW2344553061

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.