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Related Concept Videos

Epistasis01:39

Epistasis

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In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
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Hardy-Weinberg Principle01:49

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Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
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Genetics of Speciation02:16

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Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
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Epistasis Analysis01:09

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Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
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Heritability01:06

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Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic"...
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In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
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An evolutionary perspective on epistasis and the missing heritability.

Gibran Hemani1, Sara Knott, Chris Haley

  • 1The Roslin Institute and Royal (Dick) School of Veterinary Science, University of Edinburgh, Edinburgh, United Kingdom.

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Non-additive genetic variance is crucial for complex traits, not just additive variance. Understanding epistasis can help resolve the "missing heritability" problem and improve variant detection in genetic studies.

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Area of Science:

  • Quantitative genetics
  • Evolutionary genetics
  • Genomics

Background:

  • The relative importance of additive versus non-additive genetic variance is a long-standing debate in quantitative genetics.
  • Current methods often focus on additive effects, potentially overlooking significant non-additive genetic contributions to complex traits.

Purpose of the Study:

  • To investigate the evolutionary persistence of additive and non-additive genetic variance.
  • To re-evaluate the contribution of additive genetic variation in light of non-additive effects and linkage disequilibrium.
  • To improve strategies for identifying causal variants in complex traits.

Main Methods:

  • Evolutionary modeling to assess the maintenance of genetic variance under selection.
  • Analysis of how linkage disequilibrium affects estimates of additive and epistatic variance.
  • Simulation studies to evaluate genome-wide association study (GWAS) power for detecting additive versus epistatic effects.

Main Results:

  • Non-additive genetic variance is predicted to be the majority of persistent genetic variation over evolutionary time, even with epistasis.
  • Estimates of additive genetic variation may be inflated due to underlying non-additive effects and erosion of linkage disequilibrium.
  • Genome-wide association studies (GWAS) may be underpowered for complex traits when only considering additive effects.

Conclusions:

  • The perceived importance of additive effects in complex traits is likely overestimated.
  • Non-additive genetic interactions (epistasis) play a substantial role in the genetic architecture of complex traits.
  • Explicitly searching for epistatic effects can enhance the detection of causal variants in GWAS, especially with dense SNP data.