Literature DB >> 16226337

Bioinformatics toolbox for narrowing rodent quantitative trait loci.

Keith DiPetrillo1, Xiaosong Wang, Ioannis M Stylianou, Beverly Paigen.   

Abstract

Quantitative trait locus (QTL) analysis is a powerful method for localizing disease genes, but identifying the causal gene remains difficult. Rodent models of disease facilitate QTL gene identification, and causal genes underlying rodent QTL are often associated with the corresponding human diseases. Recently developed bioinformatics methods, including comparative genomics, combined cross analysis, interval-specific and genome-wide haplotype analysis, followed by sequence and expression analysis, each facilitated by public databases, provide new tools for narrowing rodent QTLs. Here we discuss each tool, illustrate its application and generate a bioinformatics strategy for narrowing QTLs. Combining these bioinformatics tools with classical experimental methods should accelerate QTL gene identification.

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Year:  2005        PMID: 16226337     DOI: 10.1016/j.tig.2005.09.008

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  68 in total

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Authors:  E T Everett
Journal:  J Dent Res       Date:  2010-10-06       Impact factor: 6.116

2.  Using bioinformatics and systems genetics to dissect HDL-cholesterol genetics in an MRL/MpJ x SM/J intercross.

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Journal:  J Lipid Res       Date:  2012-04-11       Impact factor: 5.922

3.  Quantitative trait locus and haplotype mapping in closely related inbred strains identifies a locus for open field behavior.

Authors:  Amy F Eisener-Dorman; Laura Grabowski-Boase; Brian M Steffy; Tim Wiltshire; Lisa M Tarantino
Journal:  Mamm Genome       Date:  2010-05-15       Impact factor: 2.957

4.  Prospects for association mapping in classical inbred mouse strains.

Authors:  Bret A Payseur; Michael Place
Journal:  Genetics       Date:  2007-02-04       Impact factor: 4.562

5.  Complex genetic architecture revealed by analysis of high-density lipoprotein cholesterol in chromosome substitution strains and F2 crosses.

Authors:  Ioannis M Stylianou; Shirng-Wern Tsaih; Keith DiPetrillo; Naoki Ishimori; Renhua Li; Beverly Paigen; Gary Churchill
Journal:  Genetics       Date:  2006-09-01       Impact factor: 4.562

6.  Closely linked non-additive blood pressure quantitative trait loci.

Authors:  Edward J Toland; Yasser Saad; Shane Yerga-Woolwine; Steven Ummel; Phyllis Farms; Ramona Ramdath; Bryan C Frank; Norman H Lee; Bina Joe
Journal:  Mamm Genome       Date:  2008-03-07       Impact factor: 2.957

Review 7.  Genetic and genomic insights into the molecular basis of atherosclerosis.

Authors:  Yaoyu Chen; Jarod Rollins; Beverly Paigen; Xiaosong Wang
Journal:  Cell Metab       Date:  2007-09       Impact factor: 27.287

8.  An experimental assessment of in silico haplotype association mapping in laboratory mice.

Authors:  Sarah L Burgess-Herbert; Shirng-Wern Tsaih; Ioannis M Stylianou; Kenneth Walsh; Allison J Cox; Beverly Paigen
Journal:  BMC Genet       Date:  2009-12-09       Impact factor: 2.797

9.  A verification of previously identified QTLs for cocaine-induced activation using a panel of B6.A chromosome substitution strains (CSS) and A/J x C57Bl/6J F2 mice.

Authors:  Alan E Boyle; Kathryn J Gill
Journal:  Psychopharmacology (Berl)       Date:  2009-09-23       Impact factor: 4.530

10.  Replication and narrowing of gene expression quantitative trait loci using inbred mice.

Authors:  Daniel M Gatti; Alison H Harrill; Fred A Wright; David W Threadgill; Ivan Rusyn
Journal:  Mamm Genome       Date:  2009-07-17       Impact factor: 2.957

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