Special Feature

User Panel

My Panel

My Panel

Bookmark Science Articles

Recent News
Bookmark / Share This Science Site

Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice.

Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

  • Abstract Text of This Paper
  • Journal Published
  • MeSH Keywords of This Abstract
  • Chemicals and Substances Used in this Paper
  • Grants and Granting Agency of this Research
  • Database Accession Numbers Used in this Paper
  • Related Papers
  • Related Research Tags
  • Rate this Research Paper
  • Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice. Abstract Text:

    k shimomuraK Shimomura,s s low-zeddiesS S Low-Zeddies,d p kingD P King,t d steevesT D Steeves,a whiteleyA Whiteley,j kushlaJ Kushla,p d zemenidesP D Zemenides,a linA Lin,m h vitaternaM H Vitaterna,g a churchillG A Churchill,j s takahashiJ S Takahashi,

    Genetic heterogeneity underlies many phenotypic variations observed in circadian rhythmicity. Continuous distributions in measures of circadian behavior observed among multiple inbred strains of mice suggest that the inherent contributions to variability are polygenic in nature. To identify genetic loci that underlie this complex behavior, we have carried out a genome-wide complex trait analysis in 196 (C57BL/6J X BALB/cJ)F(2) hybrid mice. We have characterized variation in this panel of F(2) mice among five circadian phenotypes: free-running circadian period, phase angle of entrainment, amplitude of the circadian rhythm, circadian activity level, and dissociation of rhythmicity. Our genetic analyses of these phenotypes have led to the identification of 14 loci having significant effects on this behavior, including significant main effect loci that contribute to three of these phenotypic measures: period, phase, and amplitude. We describe an additional locus detection method, genome-wide genetic interaction analysis, developed to identify locus pairs that may interact epistatically to significantly affect phenotype. Using this analysis, we identified two additional pairs of loci that have significant effects on dissociation and activity level; we also detected interaction effects in loci contributing to differences of period, phase, and amplitude. Although single gene mutations can affect circadian rhythms, the analysis of interstrain variants demonstrates that significant genetic complexity underlies this behavior. Importantly, most of the loci that we have detected by these methods map to locations that differ from the nine known clock genes, indicating the presence of additional clock-relevant genes in the mammalian circadian system. These data demonstrate the analytical value of both genome-wide complex trait and epistatic interaction analyses in further understanding complex phenotypes, and point to promising approaches for genetic analysis of such phenotypes in other mammals, including humans.

    Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice. Publishing Authors By Initials

    k shimomuraK Shimomura,ss low-zeddiesSS Low-Zeddies,dp kingDP King,td steevesTD Steeves,a whiteleyA Whiteley,j kushlaJ Kushla,pd zemenidesPD Zemenides,a linA Lin,mh vitaternaMH Vitaterna,ga churchillGA Churchill,js takahashiJS Takahashi,

    For similar proteins: transcription factors research abstracts see: proteins: transcription factors research

    PUBMED ID PMID:

    MEDLINE DATE:

    Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice. Journal Published:

    PUBLICATION TYPE: Research Support, U.S. Gov't,

    Journal: Genome research

    VOLUME: 11

    Page Numbers: 959-80

    Journal Abbreviation: Genome Res.

    ISSN: 1088-9051

    DAY: 19

    MONTH: Jun

    YEAR: 2001

    Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9518021

    Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice. Keywords Mesh Terms:

    KEYWORDS: Transcription Factors

    MESH TERMS: genetics

    Chemical & Substance for Abstract: Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice. Information

    Substance Name: cryptochrome protein, Drosophila

    Registry Number: 0

    Grant and Affiliation Information for Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice.

    AFFILIATION: Howard Hughes Medical Institute, Northwestern University, Evanston, Illinois 60208-3520, USA.

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NIMH

    GRANT: R37-MH39592

    ACRONYM: MH

    MEDLINETA: Genome Res

    REFSOURCE:

    DATABASENAME:

    ACCESSION NUMBER:

    Number Hits: 0

    Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice Related Publications

     

    Molecular Station USER Menu

    Welcome to Molecular Station!

    You have to register before you can post on our forums or use our advanced features. Register Now! Its Free and Fast!

    Already registered? Login now below.

    User Name:

    Password:

    Already registered and Forgot your password? Click below to recover it.

    Recover Lost Password

    Join now - it's fast and free!

    Molecular Station is THE largest network of researchers, scientists and science lovers anywhere!

    Research Terms of Usage and Disclaimer
    Home
    Features

    Protocols

    DNA Forum

    Science Forum

    DNA Forum
    Biology Forum

    Science News


    [CaRP] XML error: Invalid document end at line 2

    For more click here:Science News