Literature DB >> 11166067

Effect of genetic cross on the detection of quantitative trait loci and a novel approach to mapping QTLs.

R Hitzemann1, K Demarest, J Koyner, L Cipp, N Patel, E Rasmussen, J McCaughran.   

Abstract

A genome-wide scan was conducted in two F(2) intercrosses, C57BL/6J (B6)xDBA/2J (D2) and BALB/cJ (C)xLP/J (LP), for three different phenotypes: basal locomotor activity, ethanol-induced locomotor activity, and haloperidol-induced catalepsy. For basal activity, significant quantitative trait loci (QTLs, LOD> or =4.3) were detected on chromosomes 9 and 19 for the CxLP intercross and chromosome 1 for the B6xD2 intercross. Significant QTLs for ethanol-induced activation were detected on chromosome 6 for the CxLP intercross, and on chromosomes 1 and 2 for the B6xD2 intercross. For haloperidol-induced catalepsy, significant QTLs were detected on chromosome 14 (two different QTLs) in the CxLP intercross, and chromosomes 1 and 9 in the B6xD2 intercross. These data illustrate the importance of the genetic cross for QTL detection. Finally, the data reported here, and elsewhere, are also used to demonstrate a novel approach to QTL detection and localization.

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Year:  2000        PMID: 11166067     DOI: 10.1016/s0091-3057(00)00421-4

Source DB:  PubMed          Journal:  Pharmacol Biochem Behav        ISSN: 0091-3057            Impact factor:   3.533


  9 in total

1.  A strategy for the integration of QTL, gene expression, and sequence analyses.

Authors:  Robert Hitzemann; Barry Malmanger; Cheryl Reed; Maureen Lawler; Barbara Hitzemann; Shannon Coulombe; Kari Buck; Brooks Rademacher; Nicole Walter; Yekatrina Polyakov; James Sikela; Brenda Gensler; Sonya Burgers; Robert W Williams; Ken Manly; Jonathan Flint; Christopher Talbot
Journal:  Mamm Genome       Date:  2003-11       Impact factor: 2.957

2.  Sipa1 is a candidate for underlying the metastasis efficiency modifier locus Mtes1.

Authors:  Yeong-Gwan Park; Xiaohong Zhao; Fabienne Lesueur; Douglas R Lowy; Mindy Lancaster; Paul Pharoah; Xiaolan Qian; Kent W Hunter
Journal:  Nat Genet       Date:  2005-09-04       Impact factor: 38.330

3.  Increasing association mapping power and resolution in mouse genetic studies through the use of meta-analysis for structured populations.

Authors:  Nicholas A Furlotte; Eun Yong Kang; Atila Van Nas; Charles R Farber; Aldons J Lusis; Eleazar Eskin
Journal:  Genetics       Date:  2012-04-13       Impact factor: 4.562

4.  Mouse inbred strain sequence information and yin-yang crosses for quantitative trait locus fine mapping.

Authors:  Sagiv Shifman; Ariel Darvasi
Journal:  Genetics       Date:  2004-11-01       Impact factor: 4.562

5.  Multiple cross and inbred strain haplotype mapping of complex-trait candidate genes.

Authors:  Yeong-Gwon Park; Robert Clifford; Kenneth H Buetow; Kent W Hunter
Journal:  Genome Res       Date:  2003-01       Impact factor: 9.043

6.  Further studies on using multiple-cross mapping (MCM) to map quantitative trait loci.

Authors:  Barry Malmanger; Maureen Lawler; Shannon Coulombe; Rochelle Murray; Staci Cooper; Yekaterina Polyakov; John Belknap; Robert Hitzemann
Journal:  Mamm Genome       Date:  2006-12-01       Impact factor: 3.224

7.  High-precision genetic mapping of behavioral traits in the diversity outbred mouse population.

Authors:  R W Logan; R F Robledo; J M Recla; V M Philip; J A Bubier; J J Jay; C Harwood; T Wilcox; D M Gatti; C J Bult; G A Churchill; E J Chesler
Journal:  Genes Brain Behav       Date:  2013-03-20       Impact factor: 3.449

8.  QTL analyses of temporal and intensity components of home-cage activity in KJR and C57BL/6J strains.

Authors:  Juzoh Umemori; Akinori Nishi; Arimantas Lionikas; Takayuki Sakaguchi; Satoshi Kuriki; David A Blizard; Tsuyoshi Koide
Journal:  BMC Genet       Date:  2009-07-29       Impact factor: 2.797

Review 9.  Quantitative trait locus analysis: multiple cross and heterogeneous stock mapping.

Authors:  Robert Hitzemann; John K Belknap; Shannon K McWeeney
Journal:  Alcohol Res Health       Date:  2008
  9 in total

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