Genomic Imbalance Detection
Genomic Imbalance Detection - Related Videos
09:16
Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
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Cited by 7 •
2015
Array CGH for the detection of genomic copy number variants has replaced G-banded karyotype analysis. This paper describes the technology and its application in a diagnostic service laboratory.
01:10
Homeostatic Imbalance
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2025
Homeostasis is the maintenance of a stable internal environment within the body, which is crucial for the proper functioning of cells, tissues, organs, and organ systems. The body has various control mechanisms that work together to regulate various physiological parameters such as temperature, blood pressure, pH balance, and fluid balance, to name a few. These control mechanisms are based on feedback loops that can be either positive or negative. However, sometimes these feedback loops fail,...
14:06
Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Cited by 10 •
2012
Pooled DNA sequencing is a fast and cost-effective strategy to detect rare variants associated with complex phenotypes in large cohorts. Here we describe the computational analysis of pooled, next-generation sequencing of 32 cancer-related genes using the SPLINTER software package. This method is scalable, and applicable to any phenotype of interest.
01:26
Imbalances in Cardiac Output
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2025
The heart's primary function is to pump blood throughout the body, maintaining a balance between blood sent out (cardiac output) and blood returning (venous return). If this balance is disrupted, it can result in congestive heart failure (CHF), a severe condition where the heart becomes an inefficient pump, leading to inadequate blood circulation. CHF can occur due to the failure of either side of the heart. Left-side failure leads to pulmonary congestion—the right side continues to send blood...
08:31
Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'
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Cited by 2 •
2013
Single Virus Genomics (SVG) is a method to isolate and amplify the genomes of single virons. Viral suspensions of a mixed assemblage are sorted using flow cytometry onto a microscope slide with discrete wells containing agarose, thereby capturing the virion and reducing genome shearing during downstream processing. Whole genome amplification is achieved using multiple displacement amplification (MDA) resulting in genomic material that is suitable for sequencing.
FAQs
The central analytical step is comparison with a reference genome. This establishes whether a sample contains more or less genetic material than expected, allowing gains and losses to be distinguished from the reference pattern. The result is biologically important because altered copy number can change gene dosage, which may influence cellular function and help explain an observed phenotype.
Chromosomal analysis, microarrays, and sequencing provide complementary ways to examine imbalance. Chromosomal analysis can characterize chromosome abnormalities at a broad structural level, whereas microarrays and sequencing support detection of copy-number changes through genomic measurements. The appropriate approach depends on the genetic change being investigated and the level of genomic detail needed to relate structure to biological effects.
Separating gains from losses is important because opposite changes can alter gene dosage in different directions. An excess of genetic material may increase the dosage of affected genes, while a loss may reduce it. Distinguishing these outcomes helps researchers interpret how a genomic change could influence cellular function rather than treating every imbalance as biologically equivalent.
Copy-number changes describe differences in the amount of particular genetic material, while larger structural abnormalities concern broader changes in chromosome organization. Both can contribute to genomic imbalance, but they may be recognized through different analytical views. Considering them together gives a more complete picture of how altered genome structure may affect gene dosage and phenotype.
An investigation generally begins by obtaining genomic material and comparing it with an appropriate reference. Researchers then apply chromosomal analysis, microarray analysis, or sequencing to examine copy number or structural abnormalities. The detected pattern is interpreted in biological context, and follow-up testing may be used when additional clarification is needed.
This approach is useful when researchers need to characterize chromosome abnormalities, investigate developmental disorders, or examine disease mechanisms. It also supports broader genetic research by revealing changes in genome structure that may be relevant to cellular function. These applications make the method valuable for connecting genetic variation with biological outcomes.
Results can clarify whether altered genome structure is associated with changes in gene dosage and cellular function. That information may help researchers interpret an observed phenotype and determine which genetic findings deserve further investigation. Follow-up testing can then improve confidence in the interpretation of clinically or experimentally relevant genetic variation.