Evidence map›Paper›PMID 26984635›Full record

ArticleBMC cancer2016

Runs of homozygosity and inbreeding in thyroid cancer.

Hauke Thomsen, Bowang Chen, Gisella Figlioli, Rossella Elisei, Cristina Romei, Monica Cipollini, Alfonso Cristaudo, Franco Bambi, Per Hoffmann, Stefan Herms and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 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. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Genetic diversity, inbreeding and cancer.Proceedings. Biological sciences · 2018
    Review
  15. Article
  16. Article
  17. 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

14 authors at 6 institutions in 4 countries.

Hauke ThomsenMolecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany. h.thomsen@dkfz-heidelberg.de.
Bowang ChenMolecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany.
Gisella FiglioliMolecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany.
Rossella EliseiDepartment of Endocrinology and Metabolism, University of Pisa, Pisa, Italy.
Cristina RomeiDepartment of Endocrinology and Metabolism, University of Pisa, Pisa, Italy.
Monica CipolliniDepartment of Biology, University of Pisa, Pisa, Italy.
Alfonso CristaudoDepartment of Endocrinology and Metabolism, University of Pisa, Pisa, Italy.
Franco BambiBlood Centre, Azienda Ospedaliero Universitaria A. Meyer, Firenze, Italy.
Per HoffmannDepartment of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany.
Stefan HermsDepartment of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany.
Stefano LandiDepartment of Biology, University of Pisa, Pisa, Italy.
Kari HemminkiMolecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany.
Federica GemignaniDepartment of Biology, University of Pisa, Pisa, Italy.
Asta FörstiMolecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany.
University of Pisa · ITHeidelberg University · DEGerman Cancer Research Center · DELife & Brain (Germany) · DEMeyer Children's Hospital · ITUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome-wide association studies (GWASs) have identified several single-nucleotide polymorphisms (SNPs) influencing the risk of thyroid cancer (TC). Most cancer predisposition genes identified through GWASs function in a co-dominant manner, and studies have not found evidence for recessively functioning disease loci in TC. Our study examines whether homozygosity is associated with an increased risk of TC and searches for novel recessively acting disease loci.

methodsData from a previously conducted GWAS were used for the estimation of the proportion of phenotypic variance explained by all common SNPs, the detection of runs of homozygosity (ROH) and the determination of inbreeding to unravel their influence on TC.

resultsInbreeding coefficients were significantly higher among cases than controls. Association on a SNP-by-SNP basis was controlled by using the false discovery rate at a level of q* < 0.05, with 34 SNPs representing true differences in homozygosity between cases and controls. The average size, the number and total length of ROHs per person were significantly higher in cases than in controls. A total of 16 recurrent ROHs of rather short length were identified although their association with TC risk was not significant at a genome-wide level. Several recurrent ROHs harbor genes associated with risk of TC. All of the ROHs showed significant evidence for natural selection (iHS, Fst, Fay and Wu's H).

conclusionsOur results support the existence of recessive alleles in TC susceptibility. Although regions of homozygosity were rather small, it might be possible that variants within these ROHs affect TC risk and may function in a recessive manner.

Indexed as

Genetic Predisposition to DiseaseHomozygoteSelection, GeneticConsanguinityGenome-Wide Association StudyHumansLinkage DisequilibriumPolymorphism, Single NucleotideRisk FactorsThyroid NeoplasmsGWASInbreedingRuns of homozygosityThyroid cancer

Identifiers

PMID26984635
PMCPMC4794977
OpenAlexW2301664642

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.