Evidence map›Paper›PMID 41688488›Full record

ArticleScientific data2026

A full-length mtDNA dataset for studying genetic variations across generations and complex family structures.

Yanan Liu, Qi Yang, Yujia Xuan, Jinyuan Zhao, Anqi Chen, Suhua Zhang

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. 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

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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Yanan Liu *Ministry of Education's Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, 200438, P. R. China.
Qi Yang *Institute of Forensic Science, Fudan University, Shanghai, 200032, P. R. China.ORCID http://orcid.org/0000-0002-7207-7846
Yujia XuanInstitute of Forensic Science, Fudan University, Shanghai, 200032, P. R. China.
Jinyuan ZhaoInstitute of Forensic Science, Fudan University, Shanghai, 200032, P. R. China.
Anqi ChenInstitute of Forensic Science, Fudan University, Shanghai, 200032, P. R. China. anqi_chen@fudan.edu.cn.
Suhua ZhangMinistry of Education's Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, 200438, P. R. China. zhang_suhua@fudan.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82302124
6 · The paper itself

Abstract

Mitochondrial DNA (mtDNA) mutations are critical to disease research, evolutionary studies, and lineage tracing but are challenging to analyze due to interference from nuclear mitochondrial sequences (NUMTs). Current high-throughput sequencing techniques rely on multiple primers or probes to amplify short mtDNA fragments, followed by alignment to a reference genome. However, this approach fails to mitigate NUMTs interference, leading to ambiguous results. In this study, we presented a nanopore-based third-generation sequencing (TGS) method using a single primer pair to amplify full-length mtDNA, effectively circumventing NUMTs artifacts. Sequencing was carried out on the QITAN TECH QNome-3841hex platform, generating complete mtDNA coverage for 106 samples from eight distinct family pedigrees, including complex familial structures such as half-siblings and multi-generational households. The sequencing achieved 100% genome coverage with an average mapping rate of 99.96%, supporting comprehensive genome characterization. The resulting dataset offers valuable insights into mtDNA mutation detection, mitochondrial genetics, population genetics, ancestry tracing, and forensic identification, and may advance mtDNA sequencing technologies and intergenerational studies.

Indexed as

DNA, MitochondrialGenetic VariationHigh-Throughput Nucleotide SequencingHumansMutationPedigreeSequence Analysis, DNADNA, Mitochondrial

Identifiers

PMID41688488
PMCPMC13013646

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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.