Literature DB >> 25823838

How old are quantitative trait loci and how widely do they segregate?

K E Kemper1, B J Hayes, H D Daetwyler, M E Goddard.   

Abstract

The mutations that cause genetic variation in quantitative traits could be old and segregate across many breeds or they could be young and segregate only within one breed. This has implications for our understanding of the evolution of quantitative traits and for genomic prediction to improve livestock. We investigated the age of quantitative trait loci (QTL) for milk production traits identified as segregating in Holstein dairy cattle. We use a multitrait method and found that six of 11 QTL also segregate in Jerseys. Variants identified as Holstein-only QTL were fixed or rare [minor allele frequency (MAF) < 0.05] in Jersey. The age of the QTL mutations appears to vary from perhaps 2000 to 50,000 generations old. The older QTL tend to have high derived allele frequencies and often segregate across both breeds. Holstein-only QTL were often embedded within longer haplotypes, supporting the conclusion that they are typically younger mutations that have occurred more recently than QTL that segregate in both breeds. A reference population for genomic prediction using both Holsteins and Jersey cattle incorrectly predicted a QTL in Jersey cattle when the QTL only segregates in Holsteins. Overcoming this error should help to make genomic prediction more accurate in smaller breeds.
© 2015 Blackwell Verlag GmbH.

Entities:  

Keywords:  Dairy cattle; QTL mapping; genetic architecture; genomic prediction; genomic sequence variants

Mesh:

Year:  2015        PMID: 25823838     DOI: 10.1111/jbg.12152

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  9 in total

1.  An Equation to Predict the Accuracy of Genomic Values by Combining Data from Multiple Traits, Populations, or Environments.

Authors:  Yvonne C J Wientjes; Piter Bijma; Roel F Veerkamp; Mario P L Calus
Journal:  Genetics       Date:  2015-12-04       Impact factor: 4.562

2.  Leveraging genetically simple traits to identify small-effect variants for complex phenotypes.

Authors:  K E Kemper; M D Littlejohn; T Lopdell; B J Hayes; L E Bennett; R P Williams; X Q Xu; P M Visscher; M J Carrick; M E Goddard
Journal:  BMC Genomics       Date:  2016-11-03       Impact factor: 3.969

3.  Highly accurate sequence imputation enables precise QTL mapping in Brown Swiss cattle.

Authors:  Mirjam Frischknecht; Hubert Pausch; Beat Bapst; Heidi Signer-Hasler; Christine Flury; Dorian Garrick; Christian Stricker; Ruedi Fries; Birgit Gredler-Grandl
Journal:  BMC Genomics       Date:  2017-12-29       Impact factor: 3.969

4.  A multi-trait Bayesian method for mapping QTL and genomic prediction.

Authors:  Kathryn E Kemper; Philip J Bowman; Benjamin J Hayes; Peter M Visscher; Michael E Goddard
Journal:  Genet Sel Evol       Date:  2018-03-24       Impact factor: 4.297

5.  Functional confirmation of PLAG1 as the candidate causative gene underlying major pleiotropic effects on body weight and milk characteristics.

Authors:  Tania Fink; Kathryn Tiplady; Thomas Lopdell; Thomas Johnson; Russell G Snell; Richard J Spelman; Stephen R Davis; Mathew D Littlejohn
Journal:  Sci Rep       Date:  2017-03-21       Impact factor: 4.379

6.  Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds.

Authors:  Irene van den Berg; Ruidong Xiang; Janez Jenko; Hubert Pausch; Mekki Boussaha; Chris Schrooten; Thierry Tribout; Arne B Gjuvsland; Didier Boichard; Øyvind Nordbø; Marie-Pierre Sanchez; Mike E Goddard
Journal:  Genet Sel Evol       Date:  2020-07-07       Impact factor: 4.297

7.  Multi-trait meta-analyses reveal 25 quantitative trait loci for economically important traits in Brown Swiss cattle.

Authors:  Zih-Hua Fang; Hubert Pausch
Journal:  BMC Genomics       Date:  2019-09-03       Impact factor: 3.969

8.  Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle.

Authors:  Kathryn M Tiplady; Thomas J Lopdell; Edwardo Reynolds; Richard G Sherlock; Michael Keehan; Thomas Jj Johnson; Jennie E Pryce; Stephen R Davis; Richard J Spelman; Bevin L Harris; Dorian J Garrick; Mathew D Littlejohn
Journal:  Genet Sel Evol       Date:  2021-07-20       Impact factor: 4.297

9.  Sequence-based Association Analysis Reveals an MGST1 eQTL with Pleiotropic Effects on Bovine Milk Composition.

Authors:  Mathew D Littlejohn; Kathryn Tiplady; Tania A Fink; Klaus Lehnert; Thomas Lopdell; Thomas Johnson; Christine Couldrey; Mike Keehan; Richard G Sherlock; Chad Harland; Andrew Scott; Russell G Snell; Stephen R Davis; Richard J Spelman
Journal:  Sci Rep       Date:  2016-05-05       Impact factor: 4.379

  9 in total

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