Evidence map›Paper›PMID 31965079›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2020

Interpretation of mitochondrial tRNA variants.

Lee-Jun C Wong, Ting Chen, Jing Wang, Sha Tang, Eric S Schmitt, Megan Landsverk, Fangyuan Li, Yue Wang, Shulin Zhang, Victor Wei Zhang and 1 more

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Article in Genetics in medicine : official journal of the American College of Medical Genetics, 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 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Lee-Jun C Wong *Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA. ljwong@bcm.edu.ORCID http://orcid.org/0000-0001-6010-5523
Ting Chen *Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Jing WangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Sha TangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Eric S SchmittDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Megan LandsverkDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Fangyuan LiDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Yue WangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Shulin ZhangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Victor Wei ZhangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
William J CraigenDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop criteria to interpret mitochondrial transfer RNA (mt-tRNA) variants based on unique characteristics of mitochondrial genetics and conserved structural/functional properties of tRNA.

methodsWe developed rules on a set of established pathogenic/benign variants by examining heteroplasmy correlations with phenotype, tissue distribution, family members, and among unrelated families from published literature. We validated these deduced rules using our new cases and applied them to classify novel variants.

resultsEvaluation of previously reported pathogenic variants found that 80.6% had sufficient evidence to support phenotypic correlation with heteroplasmy levels among and within families. The remaining variants were downgraded due to the lack of similar evidence. Application of the verified criteria resulted in rescoring 80.8% of reported variants of uncertain significance (VUS) to benign and likely benign. Among 97 novel variants, none met pathogenic criteria. A large proportion of novel variants (84.5%) remained as VUS, while only 10.3% were likely pathogenic. Detection of these novel variants in additional individuals would facilitate their classification.

conclusionProper interpretation of mt-tRNA variants is crucial for accurate clinical diagnosis and genetic counseling. Correlations with tissue distribution, heteroplasmy levels, predicted perturbations to tRNA structure, and phenotypes provide important evidence for determining the clinical significance of mt-tRNA variants.

Indexed as

MitochondriaRNA, TransferHumansPhenotypeRNA, MitochondrialRNA, MitochondrialRNA, TransferMitoTIPmt-tRNA variants interpretationtRNA variants classification criteria

Identifiers

What OpenQuestion holds

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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.