Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Epistasis detectably alters correlations between genomic sites in a narrow parameter window

View through CrossRef
Abstract Different genomic sites evolve inter-dependently due to the combined action of epistasis, non-additive contributions of different loci to genome fitness, and physical linkage of different loci due to their common heritage. Both epistasis and linkage, partially compensated by recombination, cause correlations between allele frequencies at the loci (linkage disequilibrium, LD). The interaction and competition between epistasis and linkage are not fully understood, nor is their relative sensitivity to recombination. Modeling an adapting population in the presence of random mutation, natural selection, pairwise epistasis, and random genetic drift, we compare the contributions of epistasis and linkage. For this end, we use a panel of haplotype-based measures of LD and their various combinations calculated for epistatic and non-epistatic pairs separately. We compute the optimal percentages of detected and false positive pairs in a one-time sample of a population of moderate size. We demonstrate that true interacting pairs can be told apart in a sufficiently short genome within a narrow window of time and parameters. Outside of this parameter region, unless the population is extremely large, shared ancestry of individual sequences generates pervasive stochastic LD for non-interacting pairs masking true epistatic associations. In the presence of sufficiently strong recombination, linkage effects decrease faster than those of epistasis, and the detection of epistasis improves. We demonstrate that the epistasis component of locus association can be isolated, at a single time point, by averaging haplotype frequencies over multiple independent populations. These results demonstrate the existence of fundamental restrictions on the protocols for detecting true interactions in DNA sequence sets.
Title: Epistasis detectably alters correlations between genomic sites in a narrow parameter window
Description:
Abstract Different genomic sites evolve inter-dependently due to the combined action of epistasis, non-additive contributions of different loci to genome fitness, and physical linkage of different loci due to their common heritage.
Both epistasis and linkage, partially compensated by recombination, cause correlations between allele frequencies at the loci (linkage disequilibrium, LD).
The interaction and competition between epistasis and linkage are not fully understood, nor is their relative sensitivity to recombination.
Modeling an adapting population in the presence of random mutation, natural selection, pairwise epistasis, and random genetic drift, we compare the contributions of epistasis and linkage.
For this end, we use a panel of haplotype-based measures of LD and their various combinations calculated for epistatic and non-epistatic pairs separately.
We compute the optimal percentages of detected and false positive pairs in a one-time sample of a population of moderate size.
We demonstrate that true interacting pairs can be told apart in a sufficiently short genome within a narrow window of time and parameters.
Outside of this parameter region, unless the population is extremely large, shared ancestry of individual sequences generates pervasive stochastic LD for non-interacting pairs masking true epistatic associations.
In the presence of sufficiently strong recombination, linkage effects decrease faster than those of epistasis, and the detection of epistasis improves.
We demonstrate that the epistasis component of locus association can be isolated, at a single time point, by averaging haplotype frequencies over multiple independent populations.
These results demonstrate the existence of fundamental restrictions on the protocols for detecting true interactions in DNA sequence sets.

Related Results

Free energy perturbations in enzyme kinetic models reveal cryptic epistasis
Free energy perturbations in enzyme kinetic models reveal cryptic epistasis
Abstract Epistasis—the context-dependence of mutational effects—is a key driver of protein evolution, influencing adaptive pathways and functiona...
Evaluation of epistasis detection methods for quantitative phenotypes
Evaluation of epistasis detection methods for quantitative phenotypes
Abstract Background Epistasis, or genetic interaction, has been increasingly recognized for its ubiquity and for its role in su...
Uncovering directional epistasis in bi-parental populations using genomic data
Uncovering directional epistasis in bi-parental populations using genomic data
Abstract Epistasis, commonly defined as interaction effects between alleles of different loci, is an important genetic component of the variation of phenotypic trai...
Composite mutations give an extra insight into epistasis
Composite mutations give an extra insight into epistasis
Abstract The intricate genotype-phenotype relationship has been a long-standing issue in biology, important both from the fundamental and applied points of view. On...
Direct Coupling Analysis of Epistasis in Allosteric Materials
Direct Coupling Analysis of Epistasis in Allosteric Materials
Abstract In allosteric proteins, the binding of a ligand modifies function at a distant active site. Such al-losteric pathways can be used as tar...
Quantifying higher-order epistasis: beware the chimera
Quantifying higher-order epistasis: beware the chimera
Abstract Epistasis, or interactions in which alleles at one locus modify the fitness effects of alleles at other loci, plays a fundamental role i...
Atlas of epistasis
Atlas of epistasis
Abstract We performed a genome-wide epistasis search across 502 phenotypes in case control matched cohorts from the UK Biobank. We identified 152...
High-Pressure Saturated-Steam Correlations
High-Pressure Saturated-Steam Correlations
Summary During steam-assisted oil recovery processes, the thermal properties of saturated steam are required in the computation of heat losses and quality changes...

Back to Top