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Related Concept Videos

Epistasis Analysis01:09

Epistasis Analysis

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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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Epistasis01:39

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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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Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
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Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
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Related Experiment Video

Updated: May 30, 2025

In Vivo Modeling of the Morbid Human Genome using Danio rerio
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Multimodal learning for mapping genotype-phenotype dynamics.

Farhan Khodaee1, Rohola Zandie2, Elazer R Edelman2,3

  • 1Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA. farhank@mit.edu.

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|January 28, 2025
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Summary
This summary is machine-generated.

This study introduces an integrated genetics framework using AI to analyze gene expression and cellular traits, revealing new insights into gene function and cellular diversity.

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Area of Science:

  • Genomics and Computational Biology
  • Molecular Biology and Genetics

Background:

  • Understanding the link between complex genotypes and phenotypes is a key biological challenge.
  • Single-cell RNA sequencing and language models offer powerful tools for dissecting gene expression patterns.

Purpose of the Study:

  • To develop a computational framework for simultaneous analysis of high-dimensional genotype and phenotype data.
  • To create a multimodal foundation model for exploring the human transcriptomic genotype-phenotype relationship at the cellular level.

Main Methods:

  • Developed a computational integrated genetics framework.
  • Applied a multimodal foundation model to human transcriptomic data.
  • Analyzed the joint manifold of genotypes and phenotypes.

Main Results:

  • Achieved refined resolution of cellular heterogeneity.
  • Identified potential cross-tissue biomarkers.
  • Provided contextualized gene embeddings, exemplified by the von Willebrand factor (VWF) gene in endothelial cells.

Conclusions:

  • The study advances understanding of gene expression and phenotypic manifestation dynamics.
  • Demonstrates the potential of integrated genetics for uncovering cellular function and complexity.