Literature DB >> 7271677

Estimating genetic correlations from inbred strains.

J P Hegmann, B Possidente.   

Abstract

Genetic correlations measure the extent of pleiotropic effects of polygenes on pairs of characters or the closeness of linkage between sets of loci influencing the traits and held in allelic (gametic) disequilibrium. Their importance for research lies primarily in predicting correlated responses of one trait to selection based on values for another, and secondarily in analyzing the complex organization of biological systems. Genetic correlations appear to limit the rate and set the direction of multivariate evolution. In view of this, efficient methods for estimating genetic correlations may be essential for understanding the role of behavior in adaptation and for predicting behavioral change in evolution. In this paper we present methods for the estimation of genetic correlations from inbred strain comparisons. Estimates from inbred strains are relatively easy to obtain and appear to be valid when compared to those derived from more demanding parent-offspring comparisons and to correlated responses to selection.

Mesh:

Year:  1981        PMID: 7271677     DOI: 10.1007/BF01065621

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  7 in total

1.  The response to selection for altered conduction velocity in mice.

Authors:  J P Hegmann
Journal:  Behav Biol       Date:  1975-04

2.  QUANTITATIVE GENETIC ANALYSIS OF MULTIVARIATE EVOLUTION, APPLIED TO BRAIN:BODY SIZE ALLOMETRY.

Authors:  Russell Lande
Journal:  Evolution       Date:  1979-03       Impact factor: 3.694

3.  NATURAL SELECTION AND RANDOM GENETIC DRIFT IN PHENOTYPIC EVOLUTION.

Authors:  Russell Lande
Journal:  Evolution       Date:  1976-06       Impact factor: 3.694

4.  Physiological function and behavioral genetics. I. Genetic variance for peripheral conduction velocity in mice.

Authors:  J P Hegmann
Journal:  Behav Genet       Date:  1972-03       Impact factor: 2.805

5.  Polyallelic random drift in relation to evolution.

Authors:  S Wright
Journal:  Proc Natl Acad Sci U S A       Date:  1966-05       Impact factor: 11.205

6.  Genetic correlation between open-field activity and defecation: analysis with the CXB recombinant-inbred strains.

Authors:  D A Blizard; D W Bailey
Journal:  Behav Genet       Date:  1979-09       Impact factor: 2.805

7.  Physiological function and behavioral genetics. II. Quantitative genetic an analysis of conduction velocity of caudal nerves of the mouse, Mus musculus.

Authors:  J P Hegmann; J E White; S B Kater
Journal:  Behav Genet       Date:  1973-06       Impact factor: 2.805

  7 in total
  101 in total

1.  The homeostatic regulation of sleep need is under genetic control.

Authors:  P Franken; D Chollet; M Tafti
Journal:  J Neurosci       Date:  2001-04-15       Impact factor: 6.167

2.  Complex trait analysis of the hippocampus: mapping and biometric analysis of two novel gene loci with specific effects on hippocampal structure in mice.

Authors:  L Lu; D C Airey; R W Williams
Journal:  J Neurosci       Date:  2001-05-15       Impact factor: 6.167

3.  Food intake, water intake, and drinking spout side preference of 28 mouse strains.

Authors:  Alexander A Bachmanov; Danielle R Reed; Gary K Beauchamp; Michael G Tordoff
Journal:  Behav Genet       Date:  2002-11       Impact factor: 2.805

4.  Activity rhythms in inbred mice. I. Genetic analysis with recombinant inbred strains.

Authors:  J Beau
Journal:  Behav Genet       Date:  1991-03       Impact factor: 2.805

5.  Integration of genome-wide association and extant brain expression QTL identifies candidate genes influencing prepulse inhibition in inbred F1 mice.

Authors:  L J Sittig; P Carbonetto; K A Engel; K S Krauss; A A Palmer
Journal:  Genes Brain Behav       Date:  2016-01-08       Impact factor: 3.449

6.  Responsiveness of cardiometabolic-related microbiota to diet is influenced by host genetics.

Authors:  Annalouise O'Connor; Pamela M Quizon; Jody E Albright; Fred T Lin; Brian J Bennett
Journal:  Mamm Genome       Date:  2014-08-27       Impact factor: 2.957

7.  The genetics of pain and analgesia in laboratory animals.

Authors:  William R Lariviere; Jeffrey S Mogil
Journal:  Methods Mol Biol       Date:  2010

8.  Genetic control of the mouse cerebellum: identification of quantitative trait loci modulating size and architecture.

Authors:  D C Airey; L Lu; R W Williams
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

9.  Genetic dependence of cochlear cells and structures injured by noise.

Authors:  Kevin K Ohlemiller; Patricia M Gagnon
Journal:  Hear Res       Date:  2006-12-18       Impact factor: 3.208

10.  Independent genomic control of neuronal number across retinal cell types.

Authors:  Patrick W Keeley; Irene E Whitney; Nils R Madsen; Ace J St John; Sarra Borhanian; Stephanie A Leong; Robert W Williams; Benjamin E Reese
Journal:  Dev Cell       Date:  2014-06-19       Impact factor: 12.270

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