Evidence map›Paper›PMID 32139841›Full record

ArticleCommunications biology2020

Genetic and phenotypic landscape of the mitochondrial genome in the Japanese population.

Kenichi Yamamoto, Saori Sakaue, Koichi Matsuda, Yoshinori Murakami, Yoichiro Kamatani, Keiichi Ozono, Yukihide Momozawa, Yukinori Okada

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  9. Review
  10. Article
  11. Article
  12. Precision mitochondrial medicine.Cambridge prisms. Precision medicine · 2023
    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

8 authors at 3 institutions in 1 country.

Kenichi YamamotoDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan.
Saori SakaueDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan.ORCID http://orcid.org/0000-0003-3618-9717
Koichi MatsudaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, 108-8639, Japan.ORCID http://orcid.org/0000-0001-7292-2686
Yoshinori MurakamiDivision of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, 108-8639, Japan.ORCID http://orcid.org/0000-0002-2826-4396
Yoichiro KamataniLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan.
Keiichi OzonoDepartment of Pediatrics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan.
Yukihide MomozawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan.
Yukinori OkadaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan. yokada@sg.med.osaka-u.ac.jp.ORCID http://orcid.org/0000-0002-0311-8472
RIKEN Center for Integrative Medical Sciences · JPThe University of Osaka · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic landscape of mitochondrial DNA (mtDNA) has been elusive. By analyzing mtDNA using the whole genome sequence (WGS) of Japanese individuals (n = 1928), we identified 2023 mtDNA variants and high-resolution haplogroups. Frequency spectra of the haplogroups were population-specific and were heterogeneous among geographic regions within Japan. Application of machine learning methods could finely classify the subjects corresponding to the high-digit mtDNA sub-haplogroups. mtDNA had distinct genetic structures from that of nuclear DNA (nDNA), characterized by no distance-dependent linkage disequilibrium decay, sparse tagging of common variants, and the existence of common haplotypes spanning the entire mtDNA. We did not detect any evidence of mtDNA-nDNA (or mtDNA copy number-nDNA) genotype associations. Together with WGS-based mtDNA variant imputation, we conducted a phenome-wide association study of 147,437 Japanese individuals with 99 clinical phenotypes. We observed pleiotropy of mtDNA genetic risk on the five late-onset human complex traits including creatine kinase (P = 1.7 × 10

Indexed as

Genome, HumanAsian PeopleDatabases, GeneticDNA Copy Number VariationsDNA, MitochondrialGenetic Predisposition to DiseaseGenome-Wide Association StudyHaplotypesHumansJapanLinkage DisequilibriumMachine LearningMitochondriaPattern Recognition, AutomatedWhole Genome SequencingDNA, Mitochondrial

Identifiers

PMID32139841
PMCPMC7058612
OpenAlexW3010042586

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.