Evidence map›Paper›PMID 25199876›Full record

SynthesisBMC cancer2014

The saga of the many studies wrongly associating mitochondrial DNA with breast cancer.

Antonio Salas, Manuel García-Magariños, Ian Logan, Hans-Jürgen Bandelt

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The Role of Mitochondria in Carcinogenesis.International journal of molecular sciences · 2021
    Review
  5. Review
  6. Article
  7. Mitochondria in cancer.Cell stress · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Mitochondrial DNA variants in colorectal carcinogenesis: Drivers or passengers?Journal of cancer research and clinical oncology · 2017
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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.

Antonio SalasUnidade de Xenética, Instituto de Medicina Legal, and Departamento de Anatomía Patolóxica e Ciencias Forenses, Facultad de Medicina, Universidad de Santiago de Compostela, 15782 Galicia, Spain. antonio.salas@usc.es.
Manuel García-Magariños
Ian Logan
Hans-Jürgen Bandelt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA large body of genetic research has focused on the potential role that mitochondrial DNA (mtDNA) variants might play on the predisposition to common and complex (multi-factorial) diseases. It has been argued however that many of these studies could be inconclusive due to artifacts related to genotyping errors or inadequate design.

methodsAnalyses of the data published in case-control breast cancer association studies have been performed using a phylogenetic-based approach. Variation observed in these studies has been interpreted in the light of data available on public resources, which now include over >27,000 complete mitochondrial sequences and the worldwide phylogeny determined by these mitogenomes. Complementary analyses were carried out using public datasets of partial mtDNA sequences, mainly corresponding to control-region segments.

resultsBy way of example, we show here another kind of fallacy in these medical studies, namely, the phenomenon of SNP-SNP interaction wrongly applied to haploid data in a breast cancer study. We also reassessed the mutually conflicting studies suggesting some functional role of the non-synonymous polymorphism m.10398A>G (ND3 subunit of mitochondrial complex I) in breast cancer. In some studies, control groups were employed that showed an extremely odd haplogroup frequency spectrum compared to comparable information from much larger databases. Moreover, the use of inappropriate statistics signaled spurious "significance" in several instances.

conclusionsEvery case-control study should come under scrutiny in regard to the plausibility of the control-group data presented and appropriateness of the statistical methods employed; and this is best done before potential publication.

Indexed as

DNA, MitochondrialAllelesBreast NeoplasmsCase-Control StudiesEpistasis, GeneticFemaleGenetic Association StudiesHaplotypesHumansPolymorphism, Single NucleotidePopulation GroupsPublication BiasRiskDNA, Mitochondrial

Identifiers

PMID25199876
PMCPMC4180149

What OpenQuestion holds

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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.