Literature DB >> 12879962

Genetic sources of individual differences in the cerebellum.

David C Airey1, Lu Lu, Siming Shou, Robert W Williams.   

Abstract

The highly regular anatomy of the cerebellum that results from myriad genetic, environmental, and stochastic events during pre- and postnatal development is nonetheless quantitatively very different among individuals. Understanding the sources of these individual differences represents an immense challenge to those interested in the cerebellum. Here we highlight the use of new methods to dissect individual differences to their genetic sources by reviewing quantitative trait locus mapping efforts in the mouse model system. We further suggest and illustrate how to combine these methods with other modern genetic techniques to accelerate our understanding. Finally, we embed these methods in a hypothetical line of cerebellar research to illustrate the vast potential of combining complex trait analysis with a systems neuroscience perspective.

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Year:  2002        PMID: 12879962     DOI: 10.1080/147342202320883542

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.847


  37 in total

1.  Genetic dissection of the olfactory bulbs of mice: QTLs on four chromosomes modulate bulb size.

Authors:  R W Williams; D C Airey; A Kulkarni; G Zhou; L Lu
Journal:  Behav Genet       Date:  2001-01       Impact factor: 2.805

Review 2.  Review of statistical methods for QTL mapping in experimental crosses.

Authors:  K W Broman
Journal:  Lab Anim (NY)       Date:  2001 Jul-Aug       Impact factor: 12.625

3.  Gene expression profiles during long-term memory consolidation.

Authors:  S Cavallaro; B G Schreurs; W Zhao; V D'Agata; D L Alkon
Journal:  Eur J Neurosci       Date:  2001-05       Impact factor: 3.386

4.  Usual vs. successful aging: some notes on experiential factors.

Authors:  J E Black; K R Isaacs; W T Greenough
Journal:  Neurobiol Aging       Date:  1991 Jul-Aug       Impact factor: 4.673

5.  Rocker is a new variant of the voltage-dependent calcium channel gene Cacna1a.

Authors:  T A Zwingman; P E Neumann; J L Noebels; K Herrup
Journal:  J Neurosci       Date:  2001-02-15       Impact factor: 6.167

6.  Some mechanisms of cerebellar foliation: effects of early hypo- and hyperthyroidism.

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Journal:  Brain Res       Date:  1974-08-09       Impact factor: 3.252

7.  Identification and mapping of a mouse gene influencing cerebellar folial pattern.

Authors:  P E Neumann; G G Mueller; R L Sidman
Journal:  Brain Res       Date:  1990-07-30       Impact factor: 3.252

8.  The mode of inheritance of a defect in lamination in the hippocampus of BALB/c mice.

Authors:  R S Nowakowski
Journal:  J Neurogenet       Date:  1984-09       Impact factor: 1.250

9.  Running enhances neurogenesis, learning, and long-term potentiation in mice.

Authors:  H van Praag; B R Christie; T J Sejnowski; F H Gage
Journal:  Proc Natl Acad Sci U S A       Date:  1999-11-09       Impact factor: 11.205

10.  Further evidence that a mouse chromosome 4 locus influences cerebellar folial pattern.

Authors:  J D Garretson; P E Neumann
Journal:  Brain Res       Date:  1993-12-10       Impact factor: 3.252

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  5 in total

1.  Teaching bioinformatics and neuroinformatics by using free web-based tools.

Authors:  William Grisham; Natalie A Schottler; Joanne Valli-Marill; Lisa Beck; Jackson Beatty
Journal:  CBE Life Sci Educ       Date:  2010       Impact factor: 3.325

2.  Geometric morphometrics defines shape differences in the cortical area map of C57BL/6J and DBA/2J inbred mice.

Authors:  David C Airey; Fangbai Wu; Monica Guan; Christine E Collins
Journal:  BMC Neurosci       Date:  2006-09-15       Impact factor: 3.288

3.  Variation in the cortical area map of C57BL/6J and DBA/2J inbred mice predicts strain identity.

Authors:  David C Airey; Alicia I Robbins; Katherine M Enzinger; Fangbai Wu; Christine E Collins
Journal:  BMC Neurosci       Date:  2005-03-17       Impact factor: 3.288

4.  Computational, integrative, and comparative methods for the elucidation of genetic coexpression networks.

Authors:  Nicole E Baldwin; Elissa J Chesler; Stefan Kirov; Michael A Langston; Jay R Snoddy; Robert W Williams; Bing Zhang
Journal:  J Biomed Biotechnol       Date:  2005-06-30

5.  Teaching neuroinformatics with an emphasis on quantitative locus analysis.

Authors:  William Grisham; Christopher A Korey; Natalie A Schottler; Lisa Beck McCauley; Jackson Beatty
Journal:  J Undergrad Neurosci Educ       Date:  2012-10-15
  5 in total

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