Evidence map›Paper›PMID 33385171›Full record

ArticleHuman genetics2021

Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance.

Sara Hägg, Juulia Jylhävä, Yunzhang Wang, Kamila Czene, Felix Grassmann

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

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  15. The mitochondrial DNA copy number and ovary-related reproductive disorders: A bidirectional two-sample Mendelian randomization study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Sara HäggDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 171 65, Stockholm, Sweden.
Juulia JylhäväDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 171 65, Stockholm, Sweden.
Yunzhang WangDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 171 65, Stockholm, Sweden.
Kamila CzeneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 171 65, Stockholm, Sweden.
Felix GrassmannDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 171 65, Stockholm, Sweden. felix.grassmann@ki.se.ORCID http://orcid.org/0000-0003-1390-7528
Karolinska Institutet · SEUniversity of Aberdeen · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial (MT) dysfunction is a hallmark of aging and has been associated with most aging-related diseases as well as immunological processes. However, little is known about aging, lifestyle and genetic factors influencing mitochondrial DNA (mtDNA) abundance. In this study, mtDNA abundance was estimated from the weighted intensities of probes mapping to the MT genome in 295,150 participants from the UK Biobank. We found that the abundance of mtDNA was significantly elevated in women compared to men, was negatively correlated with advanced age, higher smoking exposure, greater body-mass index, higher frailty index as well as elevated red and white blood cell count and lower mortality. In addition, several biochemistry markers in blood-related to cholesterol metabolism, ion homeostasis and kidney function were found to be significantly associated with mtDNA abundance. By performing a genome-wide association study, we identified 50 independent regions genome-wide significantly associated with mtDNA abundance which harbour multiple genes involved in the immune system, cancer as well as mitochondrial function. Using mixed effects models, we estimated the SNP-heritability of mtDNA abundance to be around 8%. To investigate the consequence of altered mtDNA abundance, we performed a phenome-wide association study and found that mtDNA abundance is involved in risk for leukaemia, hematologic diseases as well as hypertension. Thus, estimating mtDNA abundance from genotyping arrays has the potential to provide novel insights into age- and disease-relevant processes, particularly those related to immunity and established mitochondrial functions.

Indexed as

Genome, MitochondrialAgedAgingBiological Specimen BanksBody Mass IndexDNA, MitochondrialErythrocyte CountFemaleGenome-Wide Association StudyHematologic DiseasesHumansHypertensionImmunity, InnateInheritance PatternsLeukemiaLeukocyte CountDNA, Mitochondrial

Identifiers

PMID33385171
PMCPMC8099832
OpenAlexW3115139448

What OpenQuestion holds

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Registered trials

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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.