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

Testing for linkage: phase known/unknown

R W Doerge1

  • 1Biometrics Unit, Cornell University, Ithaca, NY 14853.

The Journal of Heredity
|January 1, 1995
PubMed
Summary
This summary is machine-generated.

Testing genetic linkage requires a one-sided significance test for phase-known data but a two-sided test for phase-unknown data, reflecting theoretical recombination fraction limits.

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

Ghost QTL and hotspots in experimental crosses: novel approach for modeling polygenic effects.

Genetics·2021
Same author

A weighted FDR procedure under discrete and heterogeneous null distributions.

Biometrical journal. Biometrische Zeitschrift·2020
Same author

Cholesterol Sulfotransferase SULT2B1b Modulates Sensitivity to Death Receptor Ligand TNFα in Castration-Resistant Prostate Cancer.

Molecular cancer research : MCR·2019
Same author

Novel Resampling Improves Statistical Power for Multiple-Trait QTL Mapping.

G3 (Bethesda, Md.)·2017
Same author

Environmental Regulation of Heterosis in the Allopolyploid Arabidopsis suecica.

Plant physiology·2016
Same author

Dynamic clustering of gene expression.

ISRN bioinformatics·2015
Same journal

Rapid Derivation of Cloning-Competent Cells from Peripheral Blood Advances Conservation Biobanking.

The Journal of heredity·2026
Same journal

Genomic vulnerability to climate change of a poorly dispersing and threatened fish, the southern pygmy perch (Nannoperca australis).

The Journal of heredity·2026
Same journal

The complete genomes of two hybridizing field crickets, Gryllus pennsylvanicus and Gryllus firmus.

The Journal of heredity·2026
Same journal

Chromosome-level genome assembly and annotation of the transverse lady beetle Coccinella transversoguttata.

The Journal of heredity·2026
Same journal

A Chromosome-Level Assembly of the Pine Processionary Moth (Thaumetopoea pityocampa) genome.

The Journal of heredity·2026
Same journal

An annotated, chromosome-level genome for the spotted turtle, Clemmys guttata.

The Journal of heredity·2026
See all related articles

Area of Science:

  • Human genetics
  • Statistical genetics
  • Bioinformatics

Background:

  • Significance testing for genetic linkage is crucial in human genetics.
  • Theoretical limits on recombination fraction estimation necessitate one-sided tests for phase-known data.
  • The choice of significance test becomes less clear with phase-unknown data.

Purpose of the Study:

  • To elucidate the subtle differences in hypothesis testing for genetic linkage.
  • To differentiate between phase-known and phase-unknown data in recombination fraction estimation.
  • To establish the correct significance testing approach for both data types.

Main Methods:

  • Comparative analysis of statistical hypotheses.
  • Review of theoretical frameworks for recombination fraction estimation.

Related Experiment Videos

  • Application of significance testing principles to genetic data.

    • Main Results:

    • A one-sided significance test is appropriate for phase-known genetic data.
    • A two-sided significance test is the correct approach for phase-unknown genetic data.
    • The distinction in testing arises from the underlying assumptions about haplotype phase.

    Conclusions:

    • The choice between one-sided and two-sided tests in linkage analysis depends critically on data phase information.
    • Correctly applying significance tests ensures accurate genetic linkage inference.
    • This study clarifies a subtle but important aspect of statistical genetic analysis.