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Research Article| Volume 64, 102854, May 2023

FST estimates of 94 populations in China based on STR markers

Published:March 03, 2023DOI:https://doi.org/10.1016/j.fsigen.2023.102854
FST estimates of 94 populations in China based on STR markers
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      Highlights

      • •
        Allele frequencies of common STR loci for 94 populations in China were obtained.
      • •
        The population-specific and locus-specific FST values were calculated.
      • •
        The FST correction could make the calculated LRs more accurate and reasonable.

      Abstract

      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 FST values. Thus, FST 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 FST values of each population, the overall FST values of each province, each region, and the whole country, and the locus-specific FST values of different loci were calculated. The LRs using different allele frequencies and different FST values were compared based on the combination of simulated genotypes. As a result, the FST 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 FST correction were lower than those without correction. Conclusively, the correction in conjunction with corresponding FST values can make the LRs more accurate and reasonable.

      Keywords

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      Article info

      Publication history

      Published online: March 03, 2023
      Accepted: March 2, 2023
      Received in revised form: February 14, 2023
      Received: November 28, 2022

      Identification

      DOI: https://doi.org/10.1016/j.fsigen.2023.102854

      Copyright

      © 2023 Elsevier B.V. All rights reserved.

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