Literature DB >> 17507676

A validated whole-genome association study of efficient food conversion in cattle.

W Barendse1, A Reverter, R J Bunch, B E Harrison, W Barris, M B Thomas.   

Abstract

The genetic factors that contribute to efficient food conversion are largely unknown. Several physiological systems are likely to be important, including basal metabolic rate, the generation of ATP, the regulation of growth and development, and the homeostatic control of body mass. Using whole-genome association, we found that DNA variants in or near proteins contributing to the background use of energy of the cell were 10 times as common as those affecting appetite and body-mass homeostasis. In addition, there was a genic contribution from the extracellular matrix and tissue structure, suggesting a trade-off between efficiency and tissue construction. Nevertheless, the largest group consisted of those involved in gene regulation or control of the phenotype. We found that the distribution of micro-RNA motifs was significantly different for the genetic variants associated with residual feed intake than for the genetic variants in total, although the distribution of promoter sequence motifs was not different. This suggests that certain subsets of micro-RNA are more important for the regulation of this trait. Successful validation depended on the sign of the allelic association in different populations rather than on the strength of the initial association or its size of effect.

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Year:  2007        PMID: 17507676      PMCID: PMC1931545          DOI: 10.1534/genetics.107.072637

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  47 in total

1.  Prospects for whole-genome linkage disequilibrium mapping of common disease genes.

Authors:  L Kruglyak
Journal:  Nat Genet       Date:  1999-06       Impact factor: 38.330

2.  Extensive genome-wide linkage disequilibrium in cattle.

Authors:  F Farnir; W Coppieters; J J Arranz; P Berzi; N Cambisano; B Grisart; L Karim; F Marcq; L Moreau; M Mni; C Nezer; P Simon; P Vanmanshoven; D Wagenaar; M Georges
Journal:  Genome Res       Date:  2000-02       Impact factor: 9.043

3.  Non-coding RNAs: the architects of eukaryotic complexity.

Authors:  J S Mattick
Journal:  EMBO Rep       Date:  2001-11       Impact factor: 8.807

4.  Linkage disequilibrium in domestic sheep.

Authors:  A F McRae; J C McEwan; K G Dodds; T Wilson; A M Crawford; J Slate
Journal:  Genetics       Date:  2002-03       Impact factor: 4.562

5.  Identification of the single base change causing the callipyge muscle hypertrophy phenotype, the only known example of polar overdominance in mammals.

Authors:  Brad A Freking; Susan K Murphy; Andrew A Wylie; Simon J Rhodes; John W Keele; Kreg A Leymaster; Randy L Jirtle; Timothy P L Smith
Journal:  Genome Res       Date:  2002-10       Impact factor: 9.043

6.  A preprandial rise in plasma ghrelin levels suggests a role in meal initiation in humans.

Authors:  D E Cummings; J Q Purnell; R S Frayo; K Schmidova; B E Wisse; D S Weigle
Journal:  Diabetes       Date:  2001-08       Impact factor: 9.461

7.  A whole genome scan for quantitative trait loci affecting milk protein percentage in Israeli-Holstein cattle, by means of selective milk DNA pooling in a daughter design, using an adjusted false discovery rate criterion.

Authors:  M O Mosig; E Lipkin; G Khutoreskaya; E Tchourzyna; M Soller; A Friedmann
Journal:  Genetics       Date:  2001-04       Impact factor: 4.562

8.  Functional SNPs in the lymphotoxin-alpha gene that are associated with susceptibility to myocardial infarction.

Authors:  Kouichi Ozaki; Yozo Ohnishi; Aritoshi Iida; Akihiko Sekine; Ryo Yamada; Tatsuhiko Tsunoda; Hiroshi Sato; Hideyuki Sato; Masatsugu Hori; Yusuke Nakamura; Toshihiro Tanaka
Journal:  Nat Genet       Date:  2002-11-11       Impact factor: 38.330

9.  Bias and Sampling Error of the Estimated Proportion of Genotypic Variance Explained by Quantitative Trait Loci Determined From Experimental Data in Maize Using Cross Validation and Validation With Independent Samples.

Authors: 
Journal:  Genetics       Date:  2000-04       Impact factor: 4.562

10.  Modular flexibility of dystrophin: implications for gene therapy of Duchenne muscular dystrophy.

Authors:  Scott Q Harper; Michael A Hauser; Christiana DelloRusso; Dongsheng Duan; Robert W Crawford; Stephanie F Phelps; Hollie A Harper; Ann S Robinson; John F Engelhardt; Susan V Brooks; Jeffrey S Chamberlain
Journal:  Nat Med       Date:  2002-03       Impact factor: 53.440

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  59 in total

1.  Use of stochastic simulations to investigate the power and design of a whole genome association study using single nucleotide polymorphism arrays in farm animals.

Authors:  Benoît Auvray; Ken G Dodds
Journal:  J Zhejiang Univ Sci B       Date:  2007-11       Impact factor: 3.066

Review 2.  Mapping genes for complex traits in domestic animals and their use in breeding programmes.

Authors:  Michael E Goddard; Ben J Hayes
Journal:  Nat Rev Genet       Date:  2009-06       Impact factor: 53.242

Review 3.  A critical analysis of production-associated DNA polymorphisms in the genes of cattle, goat, sheep, and pig.

Authors:  Eveline M Ibeagha-Awemu; Patrick Kgwatalala; Xin Zhao
Journal:  Mamm Genome       Date:  2008-10-04       Impact factor: 2.957

4.  Enhanced mitochondrial complex gene function and reduced liver size may mediate improved feed efficiency of beef cattle during compensatory growth.

Authors:  Erin E Connor; Stanislaw Kahl; Theodore H Elsasser; Joel S Parker; Robert W Li; Curtis P Van Tassell; Ransom L Baldwin; Scott M Barao
Journal:  Funct Integr Genomics       Date:  2009-09-24       Impact factor: 3.410

5.  Reliability of genomic predictions across multiple populations.

Authors:  A P W de Roos; B J Hayes; M E Goddard
Journal:  Genetics       Date:  2009-10-12       Impact factor: 4.562

6.  Genome-wide association study identifies two major loci affecting calving ease and growth-related traits in cattle.

Authors:  Hubert Pausch; Krzysztof Flisikowski; Simone Jung; Reiner Emmerling; Christian Edel; Kay-Uwe Götz; Ruedi Fries
Journal:  Genetics       Date:  2010-11-08       Impact factor: 4.562

7.  Linkage disequilibrium and persistence of phase in Holstein-Friesian, Jersey and Angus cattle.

Authors:  A P W de Roos; B J Hayes; R J Spelman; M E Goddard
Journal:  Genetics       Date:  2008-07-13       Impact factor: 4.562

8.  The combined effect of SNP-marker and phenotype attributes in genome-wide association studies.

Authors:  E K F Chan; R Hawken; A Reverter
Journal:  Anim Genet       Date:  2008-12-10       Impact factor: 3.169

9.  Genome wide signatures of positive selection: the comparison of independent samples and the identification of regions associated to traits.

Authors:  William Barendse; Blair E Harrison; Rowan J Bunch; Merle B Thomas; Lex B Turner
Journal:  BMC Genomics       Date:  2009-04-24       Impact factor: 3.969

10.  A genome wide survey of SNP variation reveals the genetic structure of sheep breeds.

Authors:  James W Kijas; David Townley; Brian P Dalrymple; Michael P Heaton; Jillian F Maddox; Annette McGrath; Peter Wilson; Roxann G Ingersoll; Russell McCulloch; Sean McWilliam; Dave Tang; John McEwan; Noelle Cockett; V Hutton Oddy; Frank W Nicholas; Herman Raadsma
Journal:  PLoS One       Date:  2009-03-03       Impact factor: 3.240

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