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Related Concept Videos

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.
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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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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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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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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: Nov 11, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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muCNV: Genotyping Structural Variants for Population-level Sequencing.

Goo Jun1, Fritz Sedlazeck2, Qihui Zhu3

  • 1Human Genetics Center, University of Texas Health Science Center at Houston, 1200 Pressler St., Houston, TX 77030, USA.

Bioinformatics (Oxford, England)
|March 24, 2021
PubMed
Summary
This summary is machine-generated.

We developed muCNV for efficient joint genotyping of structural variations in over 100,000 samples using short-read sequencing. This method demonstrates computational efficiency and low Mendelian inconsistencies for population-scale studies.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Joint genotyping of structural variations (SVs) using short-read sequencing is crucial for population-scale genetic studies.
  • Existing methods face challenges in scalability and accuracy for large cohorts.

Purpose of the Study:

  • To develop an efficient and accurate computational pipeline for joint genotyping of structural variations in large-scale genomic datasets.
  • To enable population-level analysis of structural variations.

Main Methods:

  • Developed muCNV, a novel computational tool that aggregates per-sample summary pileups.
  • Implemented a joint genotyping strategy for structural variations.

Main Results:

  • Successfully genotyped over 100,000 samples, demonstrating high computational efficiency.
  • Pilot results showed very low Mendelian inconsistencies, indicating high accuracy.
  • The pipeline is suitable for large-scale projects, particularly in cloud computing environments.

Conclusions:

  • muCNV provides an efficient and accurate solution for joint genotyping of structural variations at population scale.
  • The tool facilitates large-scale genomic analyses and discovery of genetic variations.