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Related Concept Videos

Epigenetic Regulation01:46

Epigenetic Regulation

Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
Epigenetic Regulation01:37

Epigenetic Regulation

Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
X-chromosome...
Epigenetic Regulation01:46

Epigenetic Regulation

Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
Position-effect Variegation02:32

Position-effect Variegation

In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
Nonlinear Pharmacokinetics: Causes of Nonlinearity01:22

Nonlinear Pharmacokinetics: Causes of Nonlinearity

Nonlinearity in drug pharmacokinetics is caused by various factors influencing how a drug is absorbed, distributed, metabolized, and excreted. Understanding these nonlinear processes is crucial for predicting drug behavior in the body and optimizing drug dosing regimens.
Nonlinear drug absorption can occur when the process is rate-limited by solubility, carrier-mediated transport systems, or saturation of the presystemic gut wall or hepatic metabolism. For instance, high doses of riboflavin...
Epistasis Analysis01:09

Epistasis Analysis

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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Nonlinear epigenetic variance: review and simulations.

Kees-Jan Kan1, Annemie Ploeger, Maartje E J Raijmakers

  • 1Department of Psychology, University of Amsterdam, Roetersstraat 15, 1018 WB, Amsterdam, The Netherlands. k.j.kan@uva.nl

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This summary is machine-generated.

Nonlinear epigenetic processes significantly contribute to phenotypic variance, influencing human behavior genetics. These complex developmental factors are often misclassified as environmental influences in traditional twin studies.

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Area of Science:

  • Developmental Biology
  • Behavioral Genetics
  • Computational Neuroscience

Background:

  • Phenotypic variance is traditionally attributed to genetic and environmental factors.
  • The role of nonlinear epigenetic processes in ontogenesis is often underestimated in behavioral genetics.
  • Existing models may not fully capture the complexity of individual differences.

Purpose of the Study:

  • To review empirical evidence for nonlinear epigenetic contributions to phenotypic variance.
  • To investigate the impact of nonlinear epigenetic variance on behavior genetic analyses using simulations.
  • To explore the utility of nonlinear dynamical system theories in understanding individual differences.

Main Methods:

  • Review of empirical evidence on epigenetic processes in development.
  • Computational modeling of neuronal network development.
  • Simulation studies generating time series for monozygotic and dizygotic twins.
  • Analysis using conventional behavior genetic modeling techniques.

Main Results:

  • Nonlinear epigenetic variance was subsumed under the non-shared environmental component in simulations.
  • Heritabilities and unique environmentabilities increased over time, while common environmentabilities decreased.
  • The phenotypic effects of nonlinear epigenetic processes were observed as unsystematic variance.

Conclusions:

  • Nonlinear epigenetic processes complicate the identification of genetic and environmental causes of individual differences.
  • Conventional twin analyses may misattribute epigenetic effects to environmental factors.
  • Nonlinear dynamical system theories offer a valuable perspective for enriching behavior genetic studies.