Literature DB >> 23834320

Dissecting quantitative traits in mice.

Richard Mott1, Jonathan Flint.   

Abstract

Progress in complex trait mapping in mice has been accelerated by the development of new populations suited to high-resolution mapping and by statistical methodologies that control for population structure. When combined with newly acquired catalogs of sequence variation in inbred strains, the genetic architecture of these new populations makes it possible to dissect complex traits down to the level of single variants. These analyses have shown not only that complex traits are caused by multiple contributing loci but also that each locus is likely due to the combined effects of multiple causal DNA variants. In combination with new rapid methods for producing transgenic mice that make it efficient to test candidate genes and variants, these advances significantly enhance the mouse genetics toolbox for dissecting quantitative traits.

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Year:  2013        PMID: 23834320     DOI: 10.1146/annurev-genom-091212-153419

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   8.929


  20 in total

1.  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

2.  Genetic Evidence for Differential Regulation of Corneal Epithelial and Stromal Thickness.

Authors:  Demelza R Koehn; Kacie J Meyer; Michael G Anderson
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-08       Impact factor: 4.799

3.  Sequence analysis of chromosome 1 revealed different selection patterns between Chinese wild mice and laboratory strains.

Authors:  Fuyi Xu; Shixian Hu; Tianzhu Chao; Maochun Wang; Kai Li; Yuxun Zhou; Hongyan Xu; Junhua Xiao
Journal:  Mol Genet Genomics       Date:  2017-06-19       Impact factor: 3.291

4.  A genetic basis of variation in eccrine sweat gland and hair follicle density.

Authors:  Yana G Kamberov; Elinor K Karlsson; Gerda L Kamberova; Daniel E Lieberman; Pardis C Sabeti; Bruce A Morgan; Clifford J Tabin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-20       Impact factor: 11.205

5.  Genome-wide association study for age-related hearing loss (AHL) in the mouse: a meta-analysis.

Authors:  Jeffrey Ohmen; Eun Yong Kang; Xin Li; Jong Wha Joo; Farhad Hormozdiari; Qing Yin Zheng; Richard C Davis; Aldons J Lusis; Eleazar Eskin; Rick A Friedman
Journal:  J Assoc Res Otolaryngol       Date:  2014-02-26

6.  Discovery and refinement of muscle weight QTLs in B6 × D2 advanced intercross mice.

Authors:  P Carbonetto; R Cheng; J P Gyekis; C C Parker; D A Blizard; A A Palmer; A Lionikas
Journal:  Physiol Genomics       Date:  2014-06-24       Impact factor: 3.107

Review 7.  Insights into obesity and diabetes at the intersection of mouse and human genetics.

Authors:  Melkam A Kebede; Alan D Attie
Journal:  Trends Endocrinol Metab       Date:  2014-07-15       Impact factor: 12.015

Review 8.  Facilitating Complex Trait Analysis via Reduced Complexity Crosses.

Authors:  Camron D Bryant; Desmond J Smith; Kathleen M Kantak; Thaddeus S Nowak; Robert W Williams; M Imad Damaj; Eva E Redei; Hao Chen; Megan K Mulligan
Journal:  Trends Genet       Date:  2020-05-29       Impact factor: 11.639

9.  Heterogeneous Stock Populations for Analysis of Complex Traits.

Authors:  Leah C Solberg Woods; Richard Mott
Journal:  Methods Mol Biol       Date:  2017

Review 10.  Using Heterogeneous Stocks for Fine-Mapping Genetically Complex Traits.

Authors:  Leah C Solberg Woods; Abraham A Palmer
Journal:  Methods Mol Biol       Date:  2019
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