The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases

By Jason H. Moore. Human Heredity, 2003

736 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/dc2351eb061fb2c93e976f36d02e7344b9beca36

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In Molecular Biology

Citations in the corpus

Genome-wide strategies for detecting multiple loci that influence complex diseases (2005, background): “In addition to the oft-cited factors of statistical overinterpretation, small sample sizes, genetic and phenotypic heterogeneity, and population structure, these results highlight the possibility that for interacting loci, differences in allele frequencies between initial and replicate populations a”
Detecting gene-gene interactions that underlie human diseases (2009, background): “However, a reason that is often cited for the lack of success in genetic studies of complex diseas”
Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions (2009, background): “Moore argues that when people use sensitive methods to detect epistasis, they are frequently able to find examples of it [20].”
Gene-Environment-Wide Association Studies: Emerging Approaches (2010, neutral): “Despite claims that interaction in the absence of main effects is a 'ubiquitous' phenomenon in natur”
A tutorial on statistical methods for population association studies (2006, background): “Few researchers deny that genes interact with other genes and environmental factors in causing complex diseas”
Traversing the conceptual divide between biological and statistical epistasis: systems biology and a more modern synthesis. (2005, background): “Indeed, epistasis is arguably a ubiquitous component of the genetic architecture of common disease susceptibility.((2)) Determining whether a particular genetic variant is causative in humans is an elusive goal((3)) and the extent to which statistical evidence of epistasis from population studies is”
Genetics of Alzheimer's Disease (2013, background): “The study of epistasis is another area likely to add to our understanding of the genetics of AD, and recently, many researchers have called for an increased focus and developing more robust approaches to study gene-by-gene interactions [154–161].”
A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. (2006, background): “It has been argued that epistasis is a ubiquitous component of the genetic architecture of common human diseases (Templeton, 2000; Moore, 2003).”