Evidence map›Paper›PMID 40110048›Full record

ArticleFrontiers in genetics2025

Experiences from dual genome next-generation sequencing panel testing for mitochondrial disorders: a comprehensive molecular diagnosis.

Elizabeth Gorman, Hongzheng Dai, Yanming Feng, William James Craigen, David C Y Chen, Fan Xia, Linyan Meng, Pengfei Liu, Robert Rigobello, Arpita Neogi and 2 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. 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

12 authors.

Elizabeth Gorman *Baylor Genetics, Houston, TX, United States.
Hongzheng Dai *Baylor Genetics, Houston, TX, United States.
Yanming FengBaylor Genetics, Houston, TX, United States.
William James CraigenBaylor Genetics, Houston, TX, United States.
David C Y ChenBaylor Genetics, Houston, TX, United States.
Fan XiaBaylor Genetics, Houston, TX, United States.
Linyan MengBaylor Genetics, Houston, TX, United States.
Pengfei LiuBaylor Genetics, Houston, TX, United States.
Robert RigobelloBaylor Genetics, Houston, TX, United States.
Arpita NeogiBaylor Genetics, Houston, TX, United States.
Christine M EngBaylor Genetics, Houston, TX, United States.
Yue WangBaylor Genetics, Houston, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The molecular diagnosis of mitochondrial disorders is complicated by phenotypic variability, genetic heterogeneity, and the complexity of mitochondrial heteroplasmy. Next-generation sequencing (NGS) of the mitochondrial genome in combination with a targeted panel of nuclear genes associated with mitochondrial disease provides the highest likelihood of obtaining a comprehensive molecular diagnosis. To assess the clinical utility of this approach, we describe the results from a retrospective review of patients having dual genome panel testing for mitochondrial disease. Methods: Dual genome panel testing by NGS was performed on a cohort of 1,509 unrelated affected individuals with suspected mitochondrial disorders. This test included 163 nuclear genes associated with mitochondrial diseases and the entire mitochondrial genome. A retrospective review was performed to evaluate diagnostic yield, disease-gene contributions, and heteroplasmy levels of pathogenic/likely pathogenic (P/LP) mitochondrial DNA (mtDNA) variants. Results: The overall diagnostic yield was 14.6%, with 7.7% from the nuclear genome and 6.9% from the mtDNA genome. P/LP variants in nuclear genes were enriched in both well-established genes (e.g., Conclusion: Variants in nuclear and mitochondrial genomes equally contributed to a 14.6% diagnostic yield in this patient cohort. Dual genome NGS testing provides a comprehensive framework for diagnosing mitochondrial disorders, offering clinical utility that can be considered as first-tier approach compared to single genome testing. Characterizing disease-causing genes, variants, and mtDNA heteroplasmy enhances understanding of mitochondrial disorders. Testing alternative tissues can further increase diagnostic yield.

Indexed as

dual-genomefunctional group analysisheteroplasmymitochondriaNGS

Identifiers

PMID40110048
PMCPMC11920145

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