F ST estimates of 94 populations in China based on STR markers
Forensic Science International: Genetics, ISSN: 1872-4973, Vol: 64, Page: 102854
2023
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Sichuan University Reports Findings in Science (FST estimates of 94 populations in China based on STR markers)
2023 MAR 29 (NewsRx) -- By a News Reporter-Staff News Editor at Daily China News -- New research on Science is the subject of a
Article Description
The proper assessment of DNA evidence in cases of personal identification is a recurring theme in forensics. It is common practice to evaluate the strength of DNA evidence using the likelihood ratio (LR). The accurate use of population allele frequencies is a crucial problem in LR calculation. Allele frequency differences among different populations could be estimated by the F ST values. Thus, F ST would also affect LR values by correcting the allele frequencies. In this study, Chinese population allele frequency data were selected from population reports published in Chinese and English journals. The population-specific F ST values of each population, the overall F ST values of each province, each region, and the whole country, and the locus-specific F ST values of different loci were calculated. The LRs using different allele frequencies and different F ST values were compared based on the combination of simulated genotypes. As a result, the F ST values of 94 populations, 19 provinces, 7 regions, and the whole country were obtained. The LR was overestimated using allele frequencies of the combined population containing multiple populations rather than using allele frequencies of a population, and the LRs after F ST correction were lower than those without correction. Conclusively, the correction in conjunction with corresponding F ST values can make the LRs more accurate and reasonable.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1872497323000297; http://dx.doi.org/10.1016/j.fsigen.2023.102854; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85149635711&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/36893618; https://linkinghub.elsevier.com/retrieve/pii/S1872497323000297; https://dx.doi.org/10.1016/j.fsigen.2023.102854
Elsevier BV
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