ArticleMeta gene2015
Mutation rate estimation for 15 autosomal STR loci in a large population from Mainland China.
Article in Meta gene, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 14 citations in OpenAlex.
- Short Tandem Repeat (STR) Profiling of Earwax DNA Obtained from Healthy Volunteers.Current issues in molecular biology · 2023Article
- Article
- Population data and mutation rates of 19 STR loci in seven provinces from China based on Goldeneye™ DNA ID System 20A.International journal of legal medicine · 2017Article
- Evaluation of the genetic parameters and mutation analysis of 22 STR loci in the central Chinese Han population.International journal of legal medicine · 2017Article
- Qualitative and quantitative assessment of Illumina's forensic STR and SNP kits on MiSeq FGx™.PloS one · 2017Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STR, short tandem repeats, are well known as a type of powerful genetic marker and widely used in studying human population genetics. Compared with the conventional genetic markers, the mutation rate of STR is higher. Additionally, the mutations of STR loci do not lead to genetic inconsistencies between the genotypes of parents and children; therefore, the analysis of STR mutation is more suited to assess the population mutation. In this study, we focused on 15 autosomal STR loci. DNA samples from a total of 42,416 unrelated healthy individuals (19,037 trios) from the population of Mainland China collected between Jan 2012 and May 2014 were successfully investigated. In our study, the allele frequencies, paternal mutation rates, maternal mutation rates and average mutation rates were detected. Furthermore, we also investigated the relationship between paternal ages, maternal ages, area, the time of pregnancy and average mutation rate. We found that the paternal mutation rate was higher than the maternal mutation rate and the paternal, maternal, and average mutation rates had a positive correlation with paternal age, maternal age and the time of pregnancy respectively. Additionally, the average mutation rate of coastal areas was higher than that of inland areas.
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