Epistasis is a phenomenon in which phenotype outcome determined by the interaction of genetic variation at two or more loci and it cannot be attributed to additive combination effects corresponding individual loci. Although has been than 100 years since William Bateson introduced this concept, still topic under active research. Locating epistatic interactions computationally expensive challenge...

The phenomena of pleiotropy, the influence of individual genes on multiple traits of an organism, and epistasis, the interaction of multiple genes in influencing a single trait, are ubiquitous characteristics of organization of genomes of living organisms. In evolutionary computation, a high degree of epistasis and pleiotropy is often considered an indication of hardness of the problem. The exp...

Inheritance of fertility restoration was studied in crosses involving ten elite restorer lines of rice viz. BR6839-41-5-1R, BR7013-62-1-1R, BR7011-37-1-2R, BR10R, BR11R, BR12R, BR13R, BR14R, BR15R and BR16R and one male sterile line Jin23A with WA sources of cytoplasmic male sterility. The segregation pattern for pollen fertility of F2 and BC1 populations of crosses involving Jin23A indicated t...

Meiotic recombination and the factors affecting its rate fate in nature have inspired many studies theoretical evolutionary biology. Classical models inferred that can be favored under a rather restricted parameter range. Thus, ubiquity of remains an open question. However, these assumed constant with equal across all individuals within population, whereas empirical evidence suggests may displa...

Epistatic interactions between mutant sites in the same protein can exert a strong influence on pathways of molecular evolution. We performed protein engineering experiments that revealed pervasive epistasis among segregating amino acid variants that contribute to adaptive functional variation in deer mouse hemoglobin (Hb). Amino acid mutations increased or decreased Hb-O2 affinity depending on...

Epistasis, interaction among loci or between genes, is of growing interest and importance, especially as the quantity of genotype data being collected today is increasing at a dramatic rate. Most studies that attempt to identify the genetic basis of complex human disease ignore epistasis. As computer power has also been increasing dramatically, it is no longer necessary to be limited by a singl...

Genome-wide association studies (GWAS) have discovered many loci associated with common disease and quantitative traits. However, most GWAS have not studied the gene-gene interactions (epistasis) that could be important in complex trait genetics. A major challenge in analysing epistasis in GWAS is the enormous computational demands of analysing billions of SNP combinations. Several methods have...