Evidence map›Paper›PMID 31464266›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

Whole Mitochondrial DNA Sequencing Analysis in 47 Han Populations in Southwest China.

Lan Yao, Zhen Xu, Lihua Wan

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

3 authors.

Lan YaoCollege of Basic Medicine, Chongqing Medical University, Chongqing, China (mainland).
Zhen XuKey Laboratory of Forensic Genetics, Institute of Forensic Science, Ministry of Public Security, Beijing, China (mainland).
Lihua WanCollege of Basic Medicine, Chongqing Medical University, Chongqing, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Mitochondrial DNA (mtDNA) sequencing has been used in many areas, including forensic genetics. Due to the rapid development of sequencing technology, whole mtDNA sequencing is now possible and may be used in epidemiological and forensic studies. This study aimed to use whole mtDNA sequencing to investigate 47 Chongqing Han populations in southwest China and the diversity in the mtGenome reference data. MATERIAL AND METHODS The mtDNA of 47 Chongqing Han populations was generated using the Ion Torrent Personal Genome Machine (PGM) system. The extent of the effects of the mtDNA on the subpopulations was investigated and compared with six other populations from published studies. Pairwise fixation index (FST), a measure of population differentiation due to genetic structure, were calculated. Analysis of molecular variance (AMOVA) was performed, and 1257 hypervariable region data sets were added to the principal component analysis (PCA). RESULTS The whole mtDNA sequencing data of 47 southwest Chinese Han populations were successfully recovered. Expanding the sequencing rage increased the discrimination power of mtDNA from three-times to 25-times based on different populations. The subpopulation effects showed 20 times the differences in match probability when compared with south China regions. CONCLUSIONS Whole mtDNA sequencing distinguished between individuals from 47 Chongqing Han populations in southwest China and has potential applications that include high-quality forensic identification.

Indexed as

Sequence Analysis, DNAAsian PeopleChinaDNA, MitochondrialEthnicityGeographyHaplotypesHigh-Throughput Nucleotide SequencingHumansLikelihood FunctionsPrincipal Component AnalysisQuality ControlDNA, Mitochondrial

Identifiers

PMID31464266
PMCPMC6733151

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Registered trials

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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.