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Related Concept Videos

Principles of Pharmacogenetics: Types of Genetic Variants01:27

Principles of Pharmacogenetics: Types of Genetic Variants

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The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...
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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.
GWAS does not require the identification of the target gene involved in...
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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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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Genomics02:02

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Related Experiment Video

Updated: Mar 8, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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GAVIN: Gene-Aware Variant INterpretation for medical sequencing.

K Joeri van der Velde1,2, Eddy N de Boer2, Cleo C van Diemen2

  • 1University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, The Netherlands.

Genome Biology
|January 18, 2017
PubMed
Summary
This summary is machine-generated.

Gene-Aware Variant Interpretation (GAVIN) accurately classifies genetic variants for clinical diagnostics. This new method outperforms 12 other tools, improving variant classification for genetic testing.

Keywords:
Allele frequencyAutomated protocolClinical next-generation sequencingGene-specific calibrationPathogenicity predictionProtein impactVariant classification

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Area of Science:

  • Genomics
  • Bioinformatics
  • Clinical Diagnostics

Background:

  • Accurate classification of genetic variants is crucial for clinical diagnostics.
  • Existing variant interpretation tools have limitations in accuracy and scope.
  • Large-scale population databases and predictive algorithms are essential for variant analysis.

Purpose of the Study:

  • To introduce Gene-Aware Variant Interpretation (GAVIN), a novel method for accurate variant classification.
  • To enhance the diagnostic utility of genetic variant analysis.
  • To provide an accessible tool for researchers and clinicians.

Main Methods:

  • Utilized gene-specific calibrations of allele frequencies from the ExAC database.
  • Incorporated predicted variant impact using SnpEff.
  • Integrated estimated deleteriousness scores from CADD for over 3000 genes.
  • Benchmarked performance on 18 clinical gene sets.

Main Results:

  • Achieved a sensitivity of 91.4% and a specificity of 76.9% in benchmark testing.
  • Demonstrated superior accuracy compared to 12 other variant interpretation tools.
  • GAVIN successfully classified variants for clinical diagnostic purposes.

Conclusions:

  • GAVIN offers a highly accurate and robust method for genetic variant interpretation.
  • The tool enhances clinical diagnostic capabilities by improving variant classification.
  • GAVIN is available as an online service and open-source executable for broad accessibility.