Evidence map›Paper›PMID 39843848›Full record

ReviewScience China. Life sciences2025

Sequencing and characterizing human mitochondrial genomes in the biobank-based genomic research paradigm.

Lintao Luo, Mengge Wang, Yunhui Liu, Jianbo Li, Fengxiao Bu, Huijun Yuan, Renkuan Tang, Chao Liu, Guanglin He

Abstract readReview
PubMed Publisher
In one paragraph

Review in Science China. Life sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

9 authors.

Lintao Luo *Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Mengge Wang *Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China. Menggewang2021@163.com.
Yunhui Liu *Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Jianbo LiDepartment of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China.
Fengxiao BuInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Huijun YuanInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China. yuanhj301@163.com.
Renkuan TangDepartment of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China. Renktang2012@163.com.
Chao LiuDepartment of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China. liuchaogzf@163.com.
Guanglin He *Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China. guanglinhescu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human mitochondrial DNA (mtDNA) harbors essential mutations linked to aging, neurodegenerative diseases, and complex muscle disorders. Due to its uniparental and haploid inheritance, mtDNA captures matrilineal evolutionary trajectories, playing a crucial role in population and medical genetics. However, critical questions about the genomic diversity patterns, inheritance models, and evolutionary and medical functions of mtDNA remain unresolved or underexplored, particularly in the transition from traditional genotyping to large-scale genomic analyses. This review summarizes recent advancements in data-driven genomic research and technological innovations that address these questions and clarify the biological impact of nuclear-mitochondrial segments (NUMTs) and mtDNA variants on human health, disease, and evolution. We propose a streamlined pipeline to comprehensively identify mtDNA and NUMT genomic diversity using advanced sequencing and computational technologies. Haplotype-resolved mtDNA sequencing and assembly can distinguish authentic mtDNA variants from NUMTs, reduce diagnostic inaccuracies, and provide clearer insights into heteroplasmy patterns and the authenticity of paternal inheritance. This review emphasizes the need for integrative multi-omics approaches and emerging long-read sequencing technologies to gain new insights into mutation mechanisms, the influence of heteroplasmy and paternal inheritance on mtDNA diversity and disease susceptibility, and the detailed functions of NUMTs.

Indexed as

Biological Specimen BanksDNA, MitochondrialGenome, MitochondrialGenomicsGenetic VariationHaplotypesHeteroplasmyHumansMitochondriaMutationSequence Analysis, DNADNA, Mitochondrialevolutionary medicinegenomic databaseheteroplasmymitochondrial DNANUMT

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.