Evidence map›Paper›PMID 28230165›Full record

SynthesisScientific reports2017

MtDNA meta-analysis reveals both phenotype specificity and allele heterogeneity: a model for differential association.

Shani Marom, Michael Friger, Dan Mishmar

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Meta-analysis ofInternational journal of immunopathology and pharmacology
    Pooled it
  2. Trial
  3. Review
  4. Article
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  6. Review
  7. Review
  8. The role of mtDNA in oocyte quality and embryo development.Molecular reproduction and development · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Article
  17. Review
  18. Article
  19. Mitochondrial DNA variation and cancer.Nature reviews. Cancer · 2021
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Shani MaromDepartment of Life Sciences, Faculty of Natural Sciences, Ben-Gurion University of the Negev, Beer-Sheva, 8410501, Israel.
Michael FrigerDepartment of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, 8410501, Israel.
Dan MishmarDepartment of Life Sciences, Faculty of Natural Sciences, Ben-Gurion University of the Negev, Beer-Sheva, 8410501, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human mtDNA genetic variants have traditionally been considered markers for ancient population migrations. However, during the past three decades, these variants have been associated with altered susceptibility to various phenotypes, thus supporting their importance for human health. Nevertheless, mtDNA disease association has frequently been supported only in certain populations, due either to population stratification or differential epistatic compensations among populations. To partially overcome these obstacles, we performed meta-analysis of the multiple mtDNA association studies conducted until 2016, encompassing 53,975 patients and 63,323 controls. Our findings support the association of mtDNA haplogroups and recurrent variants with specific phenotypes such as Parkinson's disease, type 2 diabetes, longevity, and breast cancer. Strikingly, our assessment of mtDNA variants' involvement with multiple phenotypes revealed significant impact for Caucasian haplogroups H, J, and K. Therefore, ancient mtDNA variants could be divided into those that affect specific phenotypes, versus others with a general impact on phenotype combinations. We suggest that the mtDNA could serve as a model for phenotype specificity versus allele heterogeneity.

Indexed as

Genetic Predisposition to DiseaseAllelesBreast NeoplasmsDiabetes Mellitus, Type 2DNA, MitochondrialFemaleGene FrequencyGenetic HeterogeneityHaplotypesHumansLongevityMaleMitochondriaParkinson DiseasePhenotypeWhite PeopleDNA, Mitochondrial

Identifiers

PMID28230165
PMCPMC5322532

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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.