Evidence map›Paper›PMID 32305867›Full record

ArticleEBioMedicine2020

Lifetime risk of autosomal recessive mitochondrial disorders calculated from genetic databases.

Jing Tan, Matias Wagner, Sarah L Stenton, Tim M Strom, Saskia B Wortmann, Holger Prokisch, Thomas Meitinger, Konrad Oexle, Thomas Klopstock

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2020. 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 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  10. Primary mitochondrial disorders and mimics: Insights from a large French cohort.Annals of clinical and translational neurology · 2024
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  19. Recent advances in mitochondrial diseases: From molecular insights to therapeutic perspectives.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2022
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Jing TanInstitute of Human Genetics, School of Medicine, Technische Universität München, Munich, Germany; Friedrich-Baur-Institute, Department of Neurology, University Hospital, LMU Munich, Munich, Germany.
Matias WagnerInstitute of Human Genetics, School of Medicine, Technische Universität München, Munich, Germany; Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany; Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany. Electronic address: matias.wagner@mri.tum.de.
Sarah L StentonInstitute of Human Genetics, School of Medicine, Technische Universität München, Munich, Germany; Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany.
Tim M StromInstitute of Human Genetics, School of Medicine, Technische Universität München, Munich, Germany; Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany.
Saskia B WortmannInstitute of Human Genetics, School of Medicine, Technische Universität München, Munich, Germany; Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany; Department of Pediatrics, University Children's Hospital, Paracelsus Medical University (PMU), Salzburg, Austria.
Holger ProkischInstitute of Human Genetics, School of Medicine, Technische Universität München, Munich, Germany; Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany.
Thomas MeitingerInstitute of Human Genetics, School of Medicine, Technische Universität München, Munich, Germany; Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany.
Konrad OexleInstitute of Neurogenomics, Neurogenetic Systems Analysis Unit, Helmholtz Zentrum München, Neuherberg, Germany.
Thomas KlopstockFriedrich-Baur-Institute, Department of Neurology, University Hospital, LMU Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany. Electronic address: tklopsto@med.LMU.de.
Helmholtz Zentrum München · DEGerman Center for Neurodegenerative Diseases · DELMU Klinikum · DEParacelsus Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMitochondrial disorders are a group of rare diseases, caused by nuclear or mitochondrial DNA mutations. Their marked clinical and genetic heterogeneity as well as referral and ascertainment biases render phenotype-based prevalence estimations difficult. Here we calculated the lifetime risk of all known autosomal recessive mitochondrial disorders on basis of genetic data.

methodsWe queried the publicly available Genome Aggregation Database (gnomAD) and our in-house exome database to assess the allele frequency of disease-causing variants in genes associated with autosomal recessive mitochondrial disorders. Based on this, we estimated the lifetime risk of 249 autosomal recessive mitochondrial disorders. Three of these disorders and phenylketonuria (PKU) served as a proof of concept since calculations could be aligned with known birth prevalence data from newborn screening reports.

findingsThe estimated lifetime risks are very close to newborn screening data (where available), supporting the validity of the approach. For example, calculated lifetime risk of PKU (16·0/100,000) correlates well with known birth prevalence data (18·7/100,000). The combined estimated lifetime risk of 249 investigated mitochondrial disorders is 31·8 (20·9-50·6)/100,000 in our in-house database, 48·4 (40·3-58·5)/100,000 in the European gnomAD dataset, and 31·1 (26·7-36·3)/100,000 in the global gnomAD dataset. The disorders with the highest lifetime risk (> 3 per 100,000) were, in all datasets, those caused by mutations in the SPG7, ACADM, POLG and SLC22A5 genes.

interpretationWe provide a population-genetic estimation on the lifetime risk of an entire class of monogenic disorders. Our findings reveal the substantial cumulative prevalence of autosomal recessive mitochondrial disorders, far above previous estimates. These data will be very important for assigning diagnostic a priori probabilities, and for resource allocation in therapy development, public health management and biomedical research.

fundingGerman Federal Ministry of Education and Research.

Indexed as

Genetic Predisposition to DiseaseAcyl-CoA DehydrogenaseATPases Associated with Diverse Cellular ActivitiesDatabases, GeneticDNA Polymerase gammaGenes, RecessiveHumansMetalloendopeptidasesMitochondrial DiseasesSolute Carrier Family 22 Member 5Acyl-CoA DehydrogenaseATPases Associated with Diverse Cellular ActivitiesDNA Polymerase gammaMetalloendopeptidasesPOLG protein, humanSLC22A5 protein, humanSolute Carrier Family 22 Member 5SPG7 protein, humanAutosomal recessive mitochondrial disordersLifetime riskPOLGPopulation geneticsPrevalenceSPG7

Identifiers

PMID32305867
PMCPMC7163308
OpenAlexW3016641267

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.