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

Multilocus ordering strategies based on sperm typing.

T M Goradia1, K Lange

  • 1Department of Biomathematics, UCLA School of Medicine 90024-1766.

Annals of Human Genetics
|January 1, 1990
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

Exploring the psychosocial implications of general population screening for paediatric type 1 diabetes in Europe: Protocol for a mixed-methods study.

Diabetic medicine : a journal of the British Diabetic Association·2026
Same author

Human factor in the use of automated insulin delivery systems: Real-world effects in children with type 1 diabetes after 2 years of use (AID-A study).

Diabetes research and clinical practice·2025
Same author

A very rare case of osseous involvement of the dens axis in a 52-year-old HIV positive patient as part of secondary syphilis.

Infection·2025
Same author

Scar endometriosis, a form of abdominal wall endometriosis-a neglected obstetrical complication?

Archives of gynecology and obstetrics·2024
Same author

ISPAD Position Statement on Type 1 Diabetes in Schools.

Hormone research in paediatrics·2024
Same author

Findings from three methods to identify falls in hospitals: Results from the Ambient Intelligent Geriatric Management system fall prevention trial.

Australasian journal on ageing·2023

Sperm typing advances human gene mapping by optimizing recombination fraction estimation and locus ordering. A nearly optimal stopping rule and a trisection strategy improve the efficiency and accuracy of genetic linkage analysis.

Area of Science:

  • Human Genetics
  • Molecular Biology
  • Bioinformatics

Background:

  • Fine-structure human gene mapping is crucial for understanding genetic diseases.
  • Sperm typing offers a novel approach for high-resolution genetic mapping.
  • Accurate estimation of recombination fractions and locus order is essential for gene mapping.

Purpose of the Study:

  • To evaluate three-locus sperm typing for estimating recombination fractions and ordering genetic loci.
  • To compare sequential stopping rules for three-locus genetic assignment, focusing on efficiency and error rates.
  • To introduce and assess a trisection strategy for ordering multiple genetic loci.

Main Methods:

  • Analysis of three-locus sperm typing data to estimate recombination fractions.

Related Experiment Videos

  • Comparison of sequential stopping rules, including a nearly optimal rule based on recombinant type frequencies.
  • Development of a random-walk algorithm and heuristic formulas to evaluate stopping rule performance.
  • Proposal and evaluation of a trisection strategy for ordering new loci relative to existing ones.
  • Main Results:

    • A stopping rule described by Thompson and Boehnke et al. demonstrates near-optimal performance in three-locus assignments.
    • The trisection strategy is shown to be optimal in worst-case scenarios for ordering a new locus.
    • Sequential application of the trisection strategy is nearly optimal for ordering large collections of loci, becoming asymptotically optimal.

    Conclusions:

    • Optimized stopping rules and the trisection strategy significantly enhance the efficiency and accuracy of human gene mapping using sperm typing.
    • These methods provide robust tools for fine-structure gene mapping and genetic linkage analysis.
    • The developed strategies are valuable for advancing the resolution of human genetic maps.