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Related Concept Videos

Polygenic Traits01:18

Polygenic Traits

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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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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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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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Behavioral Genetics and Its Designs01:23

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Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
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Related Experiment Video

Updated: Jun 26, 2025

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
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Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes.

Deborah Kunkel1, Peter Sørensen2, Vijay Shankar3

  • 1School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC, United States of America.

Biorxiv : the Preprint Server for Biology
|May 20, 2024
PubMed
Summary
This summary is machine-generated.

We developed mr.mash-rss, a new method for polygenic prediction using only summary statistics from Genome-Wide Association Studies (GWAS). This approach enhances the applicability and scalability of genetic prediction models for complex traits.

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Area of Science:

  • Human Genetics
  • Statistical Genetics
  • Precision Medicine

Background:

  • Polygenic prediction of complex traits is crucial for precision medicine.
  • Existing methods like mr.mash require individual-level genetic data, limiting accessibility.
  • There is a need for methods utilizing publicly available summary statistics.

Conclusions:

  • mr.mash-rss significantly expands the utility of advanced polygenic prediction methods by leveraging summary statistics.
  • The method is scalable to large biobank-size datasets and applicable to non-public individual-level data.
  • Offers a powerful tool for genetic prediction in human genetics and precision medicine research.