ArticleInternational journal of legal medicine2019
Genetic polymorphisms of 32 Y-STR loci in Meizhou Hakka population.
Article in International journal of legal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 13 citations in OpenAlex.
- Genetic polymorphisms and phylogenetic analyses of the Ü-Tsang Tibetan from Lhasa based on 30 slowly and moderately mutated Y-STR loci.Forensic sciences research · 2022Article
- Fecal microbial signatures of healthy Han individuals from three bio-geographical zones in Guangdong.Frontiers in microbiology · 2022Article
- Genetic diversity of 17 autosomal STR loci in Meizhou Hakka population.International journal of legal medicine · 2021Article
- Insights Into Forensic Features and Genetic Structures of Guangdong Maoming Han Based on 27 Y-STRs.Frontiers in genetics · 2021Article
- Insights From Y-STRs: Forensic Characteristics, Genetic Affinities, and Linguistic Classifications of Guangdong Hakka and She Groups.Frontiers in genetics · 2021Article
- Article
- Forensic effectiveness and genetic distribution of 20 non-CODIS STRs and D3S1358 in Guangdong Han population.International journal of legal medicine · 2020Article
- Comprehensive genetic structure analysis of Han population from Dalian City revealed by 20 Y-STRs.Molecular genetics & genomic medicine · 2020Article
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6 authors at 1 institution in 1 country.
Funding
Abstract
Using AGCU Y24 Plus PCR Amplification Kit, 32 Y short tandem repeat (STR) loci were analyzed in 355 unrelated male participants of Meizhou city in Guangdong Province of China. By analyzing 341 different haplotypes, it was found that haplotype diversity (HD) and discrimination capacity (DC) were 0.9995 and 0.9605, respectively. Population relationships were analyzed by comparing Hakka population with ten other populations. The results indicate that Meizhou Hakka population was closely related to Guangdong Han population. These data were valuable for both forensic applications and population genetics.
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