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Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

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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.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
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Human Genetics01:28

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
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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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Overview
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Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Related Experiment Video

Updated: Sep 25, 2025

In Vivo Modeling of the Morbid Human Genome using Danio rerio
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Linking Genotype to Phenotype: Bench to Bedside.

Suzanne George1, Monica M Bertagnolli2

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This summary is machine-generated.

Cancer clinical research utilizes biospecimens and health data from participants in National Cancer Institute (NCI)-funded trials. This growing resource supports correlative science, advancing our understanding of cancer.

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Area of Science:

  • Oncology
  • Clinical Research
  • Biomedical Science

Background:

  • National Cancer Institute (NCI)-funded cooperative groups have collected extensive data over 30 years.
  • This data includes biospecimens, quality-of-life assessments, and lifestyle information from clinical trial participants.

Discussion:

  • The integrated dataset serves as a valuable resource for correlative studies in cancer research.
  • It facilitates the exploration of relationships between biological, clinical, and lifestyle factors in cancer.

Key Insights:

  • Long-term data collection enhances the power of correlative science in understanding cancer.
  • Multifaceted data (biospecimens, QOL, lifestyle) provides a comprehensive view for cancer research.

Outlook:

  • Continued expansion of this resource will drive further discoveries in cancer etiology and treatment.
  • Future research can leverage this data to personalize cancer care and improve patient outcomes.