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Yeast As a Chassis for Developing Functional Assays to Study Human P53
Published on: August 4, 2019
Accuracy of p53 codon 72 polymorphism status determined by multiple laboratory methods: a latent class model analysis
Stephen D Walter1, Corinne A Riddell, Tatiana Rabachini
1Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada. walter@mcmaster.ca
Plos One
|February 27, 2013
Summary
Latent class models accurately assessed p53 genotyping methods for cervical neoplasia risk. Arg/Arg women showed the highest risk of squamous intraepithelial lesions (SIL), highlighting the importance of accurate p53 testing.
Area of Science:
- Genetics
- Molecular Biology
- Gynecologic Oncology
Background:
- Inconsistent findings link p53 codon 72 polymorphism (rs1042522) to cervical neoplasia.
- Multiple p53 genotyping methods exist, but accuracy and discrepancies are concerns.
Purpose of the Study:
- To evaluate the accuracy of six p53 genotyping methods using latent class models (LCM).
- To assess the association between p53 status and cervical abnormalities, accounting for test inaccuracy.
Main Methods:
- Latent class models (LCM) were employed to estimate the true accuracy of six p53 determination methods.
- The association between p53 status and cytological cervical abnormalities was examined.
Main Results:
- Pairwise disagreement among laboratory methods was around 10%.
- LCM analysis indicated that each method was most likely to correctly classify a woman's p53 status.
- Women with Arg/Arg genotype had the highest risk of squamous intraepithelial lesions (SIL).
- Test accuracy was independent of cytology, with no strong evidence of correlated test errors.
Conclusions:
- LCM provides unbiased test accuracy estimates, unlike empirical analyses that ignore laboratory errors.
- LCM resolves ambiguities from test discrepancies, eliminating the need for a single "gold" standard.
- The LCM approach is applicable to other scenarios with multiple non-gold standard tests.
