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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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Genetic Variation01:25

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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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Genetic Screens02:46

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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
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Comparing Copy Number Variations and SNPs02:26

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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.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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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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Updated: Jan 14, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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Assessing and managing risk when sharing aggregate genetic variant data.

David W Craig1, Robert M Goor, Zhenyuan Wang

  • 1Translational Genomics Research Institute (TGen), Phoenix, Arizona 85004, USA. dcraig@tgen.org

Nature Reviews. Genetics
|September 17, 2011
PubMed
Summary
This summary is machine-generated.

Sharing genetic data from genome-wide association studies (GWASs) is crucial for discovering new genetic links. This study explores secure data-sharing methods and quantifies privacy risks associated with summary-level genetic data.

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Area of Science:

  • Genetics and genomics
  • Bioinformatics
  • Data privacy

Background:

  • Genome-wide association studies (GWASs) are vital for identifying genetic associations.
  • Meta-analysis of multiple GWASs significantly enhances discovery power.
  • Sharing genetic data is essential for large-scale collaborative research.

Purpose of the Study:

  • To discuss mechanisms and resources for sharing GWAS data.
  • To focus on assessing and quantifying privacy risks in summary-level data sharing.

Main Methods:

  • Review of existing data-sharing mechanisms for GWAS.
  • Exploration of methods for privacy risk assessment in genetic data.

Main Results:

  • Meta-analysis of GWASs yields more discoveries than individual studies.
  • Sharing summary-level data, like allele frequencies, poses inherent privacy risks.
  • Approaches exist to quantify these privacy risks.

Conclusions:

  • Effective data-sharing strategies are critical for advancing genetic research.
  • Balancing data accessibility with participant privacy is paramount.
  • Quantifying privacy risks is necessary for responsible data sharing in GWAS.