Genome‐wide interaction study reveals epistatic interactions for beef lipid‐related traits in Nellore cattle

2021 ◽  
Author(s):  
S. T. Amorim ◽  
N. B. Stafuzza ◽  
S. Kluska ◽  
E. Peripolli ◽  
A. S. C. Pereira ◽  
...  
2014 ◽  
Vol 17 (4) ◽  
Author(s):  
Raymond K. Walters ◽  
Charles Laurin ◽  
Gitta H. Lubke

Epistasis is a growing area of research in genome-wide studies, but the differences between alternative definitions of epistasis remain a source of confusion for many researchers. One problem is that models for epistasis are presented in a number of formats, some of which have difficult-to-interpret parameters. In addition, the relation between the different models is rarely explained. Existing software for testing epistatic interactions between single-nucleotide polymorphisms (SNPs) does not provide the flexibility to compare the available model parameterizations. For that reason we have developed an R package for investigating epistatic and penetrance models, EpiPen, to aid users who wish to easily compare, interpret, and utilize models for two-locus epistatic interactions. EpiPen facilitates research on SNP-SNP interactions by allowing the R user to easily convert between common parametric forms for two-locus interactions, generate data for simulation studies, and perform power analyses for the selected model with a continuous or dichotomous phenotype. The usefulness of the package for model interpretation and power analysis is illustrated using data on rheumatoid arthritis.


2019 ◽  
Vol 122 ◽  
pp. 263-269 ◽  
Author(s):  
Xiang Zeng ◽  
Judith M. Vonk ◽  
Diana A. van der Plaat ◽  
Alen Faiz ◽  
Peter D. Paré ◽  
...  

2015 ◽  
Vol 240 (2) ◽  
pp. 462-467 ◽  
Author(s):  
Chuanhui Dong ◽  
David Della-Morte ◽  
Ashley Beecham ◽  
Liyong Wang ◽  
Digna Cabral ◽  
...  

2014 ◽  
Vol 131 (3) ◽  
pp. 210-216 ◽  
Author(s):  
M.H.A. Santana ◽  
Y.T. Utsunomiya ◽  
H.H.R. Neves ◽  
R.C. Gomes ◽  
J.F. Garcia ◽  
...  

2020 ◽  
Vol 375 (1806) ◽  
pp. 20190543 ◽  
Author(s):  
I. Satokangas ◽  
S. H. Martin ◽  
H. Helanterä ◽  
J. Saramäki ◽  
J. Kulmuni

All genes interact with other genes, and their additive effects and epistatic interactions affect an organism's phenotype and fitness. Recent theoretical and empirical work has advanced our understanding of the role of multi-locus interactions in speciation. However, relating different models to one another and to empirical observations is challenging. This review focuses on multi-locus interactions that lead to reproductive isolation (RI) through reduced hybrid fitness. We first review theoretical approaches and show how recent work incorporating a mechanistic understanding of multi-locus interactions recapitulates earlier models, but also makes novel predictions concerning the build-up of RI. These include high variance in the build-up rate of RI among taxa, the emergence of strong incompatibilities producing localized barriers to introgression, and an effect of population size on the build-up of RI. We then review recent experimental approaches to detect multi-locus interactions underlying RI using genomic data. We argue that future studies would benefit from overlapping methods like ancestry disequilibrium scans, genome scans of differentiation and analyses of hybrid gene expression. Finally, we highlight a need for further overlap between theoretical and empirical work, and approaches that predict what kind of patterns multi-locus interactions resulting in incompatibilities will leave in genome-wide polymorphism data. This article is part of the theme issue ‘Towards the completion of speciation: the evolution of reproductive isolation beyond the first barriers’.


2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Waseem Hussain ◽  
Malachy T. Campbell ◽  
Diego Jarquin ◽  
Harkamal Walia ◽  
Gota Morota

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Boram Park ◽  
Jaehoon An ◽  
Wonji Kim ◽  
Hae Yeon Kang ◽  
Sang Baek Koh ◽  
...  

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