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1 "Biometric identification"
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Original Article
Markers for Screening Lynch Syndrome Are Reliable and Useful for Identifying the Specimen Mislabeling
Sun-ju Byeon, Jiwoon Choi, Kyung Han Nam, Bo-Gun Jang, Hee Eun Lee, Min A Kim, Woo Ho Kim
Korean J Pathol. 2012;46(2):131-136.   Published online April 25, 2012
DOI: https://doi.org/10.4132/KoreanJPathol.2012.46.2.131
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AbstractAbstract PDF
Background

During specimen processing in surgical pathology laboratories, specimen-related adverse events (SRAEs), such as mislabeling and specimen mixed-up might occur. In these situations, molecular techniques using short tandem repeat (STR) loci are required to identify the personal identity. Microsatellite instability (MSI) test is widely used for screening the hereditary non-polyposis colon cancer (Lynch syndrome) in surgical pathologies using polymorphic STR markers. We tried to evaluate the applicability of the MSI test for SRAEs.

Methods

We obtained 253 MSI test results to analyze the allele frequencies. After calibrating the estimated nucleotide lengths, we calculated the allele frequencies, a random match probability, and a likelihood ratio (LR) of three dinucleotide STR markers (D5S349, D17S250, and D2S123).

Results

The distribution of LR was 136.38 to 5,606,213.10. There was no case of LR<100. In addition, there were 153 cases (60.5%) of LR ranging from 100 to 10,000 and 100 cases (39.5%) of LR>10,000. Furthermore, the combined probability of identity was 9.23×10-4 and the combined power of exclusion was 0.99908.

Conclusions

Using the three STR markers that are recommended for MSI test, all the cases were positively identified in 1% range and about one-third cases showed high LR (>10,000). These results showed that MSI tests are useful to screen the personal identity in case of SRAE in pathology laboratories.

Citations

Citations to this article as recorded by  
  • Lost, mislabeled, and mishandled surgical and clinical pathology specimens: A systematic review of published literature
    Heather J Carmack, Braidyn S Lazenby, Kylie J Wilson, Jamie N Bakkum-Gamez, Leslie Carranza
    American Journal of Clinical Pathology.2024; 162(4): 349.     CrossRef
  • Sensitivity and polymorphism of Bethesda panel markers in Chinese population
    Yanying Zheng, Jie Chen, Xiang Zhang, Ling Xie, Yifen Zhang, Yi Sun
    Bulletin du Cancer.2020; 107(11): 1091.     CrossRef

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