Results 51 to 60 of about 58,973 (229)
The accuracy of predicting seven human phenotypes of 3657–7564 individuals using global epistasis effects was evaluated and compared to the accuracy of haplotype genomic prediction using 380,705 SNPs and 10-fold cross-validation studies.
Zuoxiang Liang+2 more
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A strategy to apply quantitative epistasis analysis on developmental traits
Background Genetic interactions are keys to understand complex traits and evolution. Epistasis analysis is an effective method to map genetic interactions. Large-scale quantitative epistasis analysis has been well established for single cells.
Marta K. Labocha+3 more
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Evidence of epistasis between Interleukin-1 and Selenoprotein-S with susceptibility to rheumatoid arthritis [PDF]
Objective: Selenoprotein-S (SELS) is involved in the stress response within the endoplasmic reticulum (ER) and inflammation. Recently, promoter variants in the SELS gene were shown to be associated with plasma levels of interleukin (IL)6, IL1β and tumour
Binks, M.H.+5 more
core +2 more sources
Speciation Genetics: Epistasis, Conflict and the Origin of Species [PDF]
Evolutionary biologists have long recognized that the sterility and inviability of species hybrids must involve incompatible epistatic interactions between two (or more) genes. The first pair of such hybrid incompatibility genes has now been identified.
openaire +3 more sources
Mechanistic causes of sign epistasis and its applications
Mapping genetic variations to phenotypic variations poses a significant challenge, as mutations often combine unexpectedly, diverging from assumed additive effects even in the same environment.
Jinqiu Zhang+5 more
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Epistasis and its contribution to genetic variance components. [PDF]
Abstract We present a new parameterization of physiological epistasis that allows the measurement of epistasis separate from its effects on the interaction (epistatic) genetic variance component. Epistasis is the deviation of two-locus genotypic values from the sum of the contributing single-locus genotypic values.
Eric J. Routman, James M. Cheverud
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Background Genetic mapping has proven to be powerful for studying the genetic architecture of complex traits by characterizing a network of the underlying interacting quantitative trait loci (QTLs).
Tong Chunfa+7 more
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Global epistasis on fitness landscapes [PDF]
Epistatic interactions between mutations add substantial complexity to adaptive landscapes, and are often thought of as detrimental to our ability to predict evolution. Yet, patterns of global epistasis, in which the fitness effect of a mutation is well-predicted by the fitness of its genetic background, may actually be of help in our efforts to ...
arxiv
Searching for interacting QTL in related populations of an outbreeding species [PDF]
Many important crop species are outbreeding. In outbreeding species the search for genes affecting traits is complicated by the fact that in a single cross up to four alleles may be present at each locus.
Bink, M.C.A.M.+3 more
core +2 more sources
Epistasis and the genetics of human diseases
Epistasis or modifier genes, that is, gene-gene interactions of non-allelic partners, play a major role in susceptibility to common human diseases. This old genetic concept has experienced a major renaissance recently. Interestingly, epistatic genes can make the disease less severe, or make it more severe.
openaire +3 more sources