Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Fitting mixture distributions to phenylthiocarbamide (PTC) sensitivity.

P N Jones1, G J McLachlan

  • 1C.S.I.R.O. Biometrics Unit, Brisbane, Australia.

American Journal of Human Genetics
|January 1, 1991
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Clustering.

Methods in molecular biology (Clifton, N.J.)·2016
Same author

A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2015
Same author

Clustering of gene expression data via normal mixture models.

Methods in molecular biology (Clifton, N.J.)·2013
Same author

Consumer assessment of the effect of electrical stimulation on the colour and colour stability of Semimembranosus muscles.

Meat science·2011
Same author

Maximising the cost-efficiency of assay procedures.

Meat science·2011
Same author

The relationship between animal age and the thermal stability and cross-link content of collagen from five goat muscles.

Meat science·2011

This study presents a new statistical method for analyzing phenylthiocarbamide (PTC) tasting ability. The technique uses a mixture model to estimate genetic parameters, accounting for imprecise measurements.

Area of Science:

  • Genetics
  • Statistical Modeling
  • Human Biology

Background:

  • Phenylthiocarbamide (PTC) sensitivity is a classic example of human genetic variation.
  • Understanding the genetic basis of PTC tasting involves analyzing population distributions.
  • Previous methods may not fully account for measurement limitations and genetic complexities.

Purpose of the Study:

  • To develop and apply a robust statistical technique for fitting mixture distributions to PTC sensitivity data.
  • To estimate genetic parameters, including genotype proportions and their associated trait variations.
  • To address challenges posed by interval-censored sensitivity measurements.

Main Methods:

  • Postulation of a mixture of three normal components based on Hardy-Weinberg equilibrium.

Related Experiment Videos

  • Application of the Expectation-Maximization (EM) algorithm for parameter estimation.
  • Incorporation of interval-censored data to handle imprecise sensitivity measurements.

    • Main Results:

    • The EM algorithm effectively estimates parameters for the mixture model of PTC sensitivity.
    • The technique successfully models genetic variation under Hardy-Weinberg equilibrium assumptions.
    • Standard errors for the estimated parameters are derived, providing confidence in the results.

    Conclusions:

    • The described mixture model and EM algorithm provide a powerful tool for analyzing PTC sensitivity data.
    • This approach enhances the accuracy of genetic parameter estimation, especially with interval-censored data.
    • The findings contribute to a better understanding of the genetic architecture of PTC tasting ability.