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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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.
GWAS does not require the identification of the target gene involved in...
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Single Nucleotide Polymorphisms-SNPs01:05

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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Genetic Screens

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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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Overview
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Related Experiment Video

Updated: May 30, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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RetroFun-RVS: A Retrospective Family-Based Framework for Rare Variant Analysis Incorporating Functional Annotations.

Loïc Mangnier1,2,3, Ingo Ruczinski4, Jasmin Ricard2

  • 1Department of Social and Preventive Medicine, Laval University, Quebec City, Quebec, Canada.

Genetic Epidemiology
|January 29, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces RetroFun-RVS, a powerful new method for analyzing rare genetic variants in families to understand complex diseases. It effectively uses functional annotations to identify disease-related regulatory mechanisms.

Keywords:
3D genomenoncoding genomepedigree‐based association testsvariant sharing

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Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Complex diseases often involve rare genetic variations in noncoding genome regions, posing interpretation challenges.
  • Current rare variant association tests have limitations in power, design scope (case-control), and interpretation of regulatory mechanisms.

Purpose of the Study:

  • To propose RetroFun-RVS, a novel retrospective family-based score test incorporating functional annotations for complex disease genetics.
  • To enhance the power and interpretability of rare variant association tests using region-based functional data.

Main Methods:

  • Developed RetroFun-RVS, a family-based score test aggregating genotypes to assess rare variant sharing among affected relatives.
  • Integrated functional annotations, including 3D genome contacts and epigenetic data, into the analysis framework.
  • Utilized extensive simulations and applied the method to a schizophrenia and bipolar disorder kindred study.

Main Results:

  • RetroFun-RVS demonstrated superior power compared to existing region-wide and subregion methods, especially when integrating 3D genome contact networks.
  • The method showed robustness to non-informative annotations and maintained power with variants spread across regions.
  • A bootstrap procedure was recommended for small family sample sizes to mitigate Type I error inflation.

Conclusions:

  • Integrating functional annotations, particularly networks with transcriptional impacts, significantly enhances rare variant tests for complex diseases.
  • RetroFun-RVS offers a promising framework for identifying regulatory mechanisms underlying complex genetic disorders.
  • The study highlights the utility of family-based designs and advanced functional data in genetic association studies.