Literature DB >> 18759635

The future of mouse QTL mapping to diagnose disease in mice in the age of whole-genome association studies.

Kent W Hunter1, Nigel P S Crawford.   

Abstract

Genome-wide association analysis is emerging as a powerful tool to define novel genes and molecular pathways involved in susceptibility to human complex disorders. However, in spite of recent successes, this approach is not without its limitations, the most notable of which is inconsistent phenotype penetrance due to varied environmental exposures. Mouse models do, however, circumvent some of these drawbacks by allowing for a much higher degree of control over genetic variation and environmental exposure, and although their application to human complex genetics is not always straightforward, they do serve as a powerful means of complementing observations in human populations. Mouse quantitative trait locus mapping has proven a successful, yet technically demanding method for defining trait susceptibility. In this review, we focus upon recent advances that are both reducing the technical burden traditionally associated with quantitative trait locus mapping, and enhancing the applicability of these approaches to human disease.

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Year:  2008        PMID: 18759635     DOI: 10.1146/annurev.genet.42.110807.091659

Source DB:  PubMed          Journal:  Annu Rev Genet        ISSN: 0066-4197            Impact factor:   16.830


  34 in total

Review 1.  Cancer evolution and individual susceptibility.

Authors:  Jesús Pérez-Losada; Andrés Castellanos-Martín; Jian-Hua Mao
Journal:  Integr Biol (Camb)       Date:  2011-01-24       Impact factor: 2.192

Review 2.  A novel strategy for genetic dissection of complex traits: the population of specific chromosome substitution strains from laboratory and wild mice.

Authors:  Junhua Xiao; Yinming Liang; Kai Li; Yuxuan Zhou; Wenqian Cai; Yumei Zhou; Ying Zhao; Zhenghong Xing; Guoqiang Chen; Li Jin
Journal:  Mamm Genome       Date:  2010-07-11       Impact factor: 2.957

Review 3.  Going forward with genetics: recent technological advances and forward genetics in mice.

Authors:  Eva Marie Y Moresco; Xiaohong Li; Bruce Beutler
Journal:  Am J Pathol       Date:  2013-05       Impact factor: 4.307

Review 4.  Missing heritability of complex diseases: Enlightenment by genetic variants from intermediate phenotypes.

Authors:  Adrián Blanco-Gómez; Sonia Castillo-Lluva; María Del Mar Sáez-Freire; Lourdes Hontecillas-Prieto; Jian Hua Mao; Andrés Castellanos-Martín; Jesus Pérez-Losada
Journal:  Bioessays       Date:  2016-05-31       Impact factor: 4.345

Review 5.  The future of model organisms in human disease research.

Authors:  Timothy J Aitman; Charles Boone; Gary A Churchill; Michael O Hengartner; Trudy F C Mackay; Derek L Stemple
Journal:  Nat Rev Genet       Date:  2011-07-18       Impact factor: 53.242

Review 6.  Genetically engineered mouse models in cancer research.

Authors:  Jessica C Walrath; Jessica J Hawes; Terry Van Dyke; Karlyne M Reilly
Journal:  Adv Cancer Res       Date:  2010       Impact factor: 6.242

7.  The phenotypic distribution of quantitative traits in a wild mouse F1 population.

Authors:  Yuxun Zhou; Yinming Liang; Kai Li; Xiong Bai; Guoqiang Chen; Zhenghong Xing; Junhua Xiao
Journal:  Mamm Genome       Date:  2011-12-03       Impact factor: 2.957

8.  Identifying mouse models for skin cancer using the Mouse Tumor Biology Database.

Authors:  Dale A Begley; Debra M Krupke; Steven B Neuhauser; Joel E Richardson; Paul N Schofield; Carol J Bult; Janan T Eppig; John P Sundberg
Journal:  Exp Dermatol       Date:  2014-10       Impact factor: 3.960

9.  Brain tumor susceptibility: the role of genetic factors and uses of mouse models to unravel risk.

Authors:  Karlyne M Reilly
Journal:  Brain Pathol       Date:  2009-01       Impact factor: 6.508

10.  Metastasis-associated protein ribosomal RNA processing 1 homolog B (RRP1B) modulates metastasis through regulation of histone methylation.

Authors:  Minnkyong Lee; Amy M Dworkin; Jens Lichtenberg; Shashank J Patel; Niraj S Trivedi; Derek Gildea; David M Bodine; Nigel P S Crawford
Journal:  Mol Cancer Res       Date:  2014-08-04       Impact factor: 5.852

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