Whole mitochondrial genome analyses of Han population from Shandong of China using massively parallel sequencing

The dataset generated in this study is available in the EMPOP database under the accession number EMP00886 and will serve as an important mtDNA reference for forensic casework in China. The study of whole mitochondrial genome based on the analysis of matrilineal genetic structure of the Shandong Han population can help to enrich the forensic mtDNA reference database in East Asia and provide reference for future archeology and forensic genetics research.

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Publication Details

Journal
Frontiers in Genetics
Published
2024-11-29
DOI
https://doi.org/10.3389/fgene.2024.1513412
Citations
2
Primary Topic
Forensic and Genetic Research
Type
article
Field-Weighted Citation Impact
1.10

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article

Whole mitochondrial genome analyses of Han population from Shandong of China using massively parallel sequencing

Yinghua Qi, Dawei Cai, An‐Qi Chen, Jiashuo Zhang et al.
2 citations
Frontiers in Genetics
Forensic and Genetic Research
1.10
article

Whole mitochondrial genome analyses of Han population from Shandong of China using massively parallel sequencing

Yinghua Qi, Dawei Cai, An‐Qi Chen, Jiashuo Zhang, Suhua Zhang, XueBo Li, Chunli Ding, Liangliang Li, Mingxia Ding
article en
2 citations

Abstract

The dataset generated in this study is available in the EMPOP database under the accession number EMP00886 and will serve as an important mtDNA reference for forensic casework in China. The study of whole mitochondrial genome based on the analysis of matrilineal genetic structure of the Shandong Han population can help to enrich the forensic mtDNA reference database in East Asia and provide reference for future archeology and forensic genetics research.

Frontiers in GeneticsVol. 15
Jilin University (CN), Fudan University (CN), Shandong University of Political Science and Law (CN), Second Hospital of Shandong University (CN), Institute of Forensic Science (CN)
Jilin University
Reduced inequalities
Openalex Percentile: Top 18%
Forensic and Genetic Research
1.10
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