Evidence map›Paper›PMID 37731065›Full record

ArticleInternational journal of legal medicine2023

Assessment of ForenSeq mtDNA Whole Genome Kit for forensic application.

Guihong Liu, Yazi Zheng, Qiushuo Wu, Tao Feng, Yu Xia, Dan Chen, Li Ren, Xiaogang Bai, Qingqing Li, Dezhi Chen and 5 more

Abstract read
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In one paragraph

Article in International journal of legal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

15 authors.

Guihong Liu *Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China.
Yazi Zheng *Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China.
Qiushuo WuDepartment of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China.
Tao FengCriminal Investigation Bureau, Chengdu Public Security Bureau, Criminal Science and Technology Division, Chengdu, 610000, Sichuan, China.
Yu XiaCriminal Investigation Bureau, Chengdu Public Security Bureau, Criminal Science and Technology Division, Chengdu, 610000, Sichuan, China.
Dan ChenCriminal Investigation Bureau, Chengdu Public Security Bureau, Criminal Science and Technology Division, Chengdu, 610000, Sichuan, China.
Li RenCriminal Investigation Bureau, Chengdu Public Security Bureau, Criminal Science and Technology Division, Chengdu, 610000, Sichuan, China.
Xiaogang BaiCriminal Investigation Bureau, Chengdu Public Security Bureau, Criminal Science and Technology Division, Chengdu, 610000, Sichuan, China.
Qingqing LiCriminal Investigation Bureau, Chengdu Public Security Bureau, Criminal Science and Technology Division, Chengdu, 610000, Sichuan, China.
Dezhi ChenDepartment of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China.
Meili LvDepartment of Immunology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, 610041, Sichuan, China.
Miao LiaoDepartment of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China.
Weibo LiangDepartment of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China.
Lin ZhangDepartment of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China. zhanglin@scu.edu.cn.
Shengqiu QuDepartment of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China. qushengqiu@scu.edu.cn.

Funding

Chengdu Science and Technology Program 2022-YF05-02026-SNChina Postdoctoral Science Foundation 2022M722246National Natural Science Foundation of China 82271929
6 · The paper itself

Abstract

Mitochondrial DNA (mtDNA) is an indispensable genetic marker in forensic genetics. The emergence and development of massively parallel sequencing (MPS) makes it possible to obtain complete mitochondrial genome sequences more quickly and accurately. The study evaluated the advantages and limitations of the ForenSeq mtDNA Whole Genome Kit in the practical application of forensic genetics by detecting human genomic DNA standards and thirty-three case samples. We used control DNA with different amount to determine sensitivity of the assay. Even when the input DNA is as low as 2.5 pg, most of the mitochondrial genome sequences could still be covered. For the detection of buccal swabs and aged case samples (bloodstains, bones, teeth), most samples could achieve complete coverage of mitochondrial genome. However, when ancient samples and hair samples without hair follicles were sequenced by the kit, it failed to obtain sequence information. In general, the ForenSeq mtDNA Whole Genome Kit has certain applicability to forensic low template and degradation samples, and these results provide the data basis for subsequent forensic applications of the assay. The overall detection process and subsequent analysis are easy to standardize, and it has certain application potential in forensic cases.

Indexed as

DNA FingerprintingDNA, MitochondrialGenome, MitochondrialHairHigh-Throughput Nucleotide SequencingSequence Analysis, DNABlood StainsBone and BonesForensic GeneticsHumansMouth MucosaToothDNA, MitochondrialForenSeq mtDNA whole genome kitMitochondrial DNANext-generation sequencing

Identifiers

PMID37731065

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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.