Allelic Ratio Calculation
Allelic Ratio Calculation - Related Videos
10:17
An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
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Cited by 2 •
2010
Genetic associations often remain unexplained at a functional level. This method aims to assess the effect of phenotype-associated genetic markers on gene expression by analyzing cells heterozygous for transcribed SNPs. The technology allows accurate measurement by MALDI-TOF mass spectrometry to quantify allele-specific primer extension products.
02:19
Multiple Allele Traits
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2021
For the same gene multiple alleles can interact to influence phenotypes like the shape and protein composition of an individual cells.By studying allele interactions on the molecular and cellular levels researchers can understand the resulting phenotypes and complications of human conditions like sickle cell trait, improving treatment.The ABO blood group system is a common example of multiple alleles in humans. This system includes three alleles called IA, IB, and i alleles, which combine in...
02:19
Multiple Allele Traits
0 Views •
2026
For the same gene multiple alleles can interact to influence phenotypes like the shape and protein composition of an individual cells.By studying allele interactions on the molecular and cellular levels researchers can understand the resulting phenotypes and complications of human conditions like sickle cell trait, improving treatment.The ABO blood group system is a common example of multiple alleles in humans. This system includes three alleles called IA, IB, and i alleles, which combine in...
02:41
Lethal Alleles
0 Views •
2021
Agouti: A Lethal Allele Lucien Cuénot discovered lethal alleles in 1905 while studying the inheritance of coat color in mice. The agouti gene is responsible for the color of the coat in mice. This gene codes for an agouti-signaling protein, which is responsible for melanin distribution in mammals. The wild-type allele gives rise to gray-brown coat color in mice, while the mutant allele gives rise to yellow coat color. In addition to coat color, the agouti gene is associated with the yellow...
08:34
Utilizing Murine Inducible Telomerase Alleles in the Studies of Tissue Degeneration/Regeneration and Cancer
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Cited by 3 •
2015
Telomere and telomerase play essential roles in ageing and tumorigenesis. The goal of this protocol is to show how to generate two murine inducible telomerase knock-in alleles and how to utilize them in the studies of tissue degeneration/regeneration and cancer.
FAQs
Each side of the ratio should represent measurements supporting one of the two alleles at the same genetic locus. These measurements may be sequencing reads or genotype-specific signals. Dividing support for one allele by support for the other makes the direction explicit, so reversing the numerator and denominator changes the reported ratio even though the underlying observations are unchanged.
A ratio near 1:1 reflects the balance typically expected for a heterozygous sample, when the two alleles have comparable representation in the measured data. This value serves as a reference rather than an automatic guarantee of sample quality. Comparing an observed ratio with that expectation helps identify loci requiring further consideration for allelic imbalance.
Departures can arise from copy-number changes, mosaicism, sample contamination, or technical bias. These possibilities matter because an uneven ratio does not by itself identify a single underlying cause. Instead, the result signals that observed allele support differs from the expected pattern and should be interpreted in light of the biological sample and the measurement process.
Start by selecting the genetic locus and distinguishing the two alleles being evaluated. Count the sequencing reads or genotype-specific signals supporting each allele, then divide the support for one by the support for the other. Finally, compare the resulting value with the expected proportion, such as the approximately 1:1 pattern associated with heterozygosity.
The calculation can support several research contexts: variant interpretation, population genetics, gene-expression studies, and quality control in genomic experiments. Its role differs by context, but the shared value is quantitative comparison of allele representation. That comparison can help researchers assess whether observed or inherited variants occur in expected proportions and identify results that merit closer review.
An imbalanced result can be treated as an investigative signal rather than a standalone conclusion. Copy-number changes or mosaicism may point to biological explanations, while sample contamination or technical bias may affect the measurement itself. In genomic quality control, examining these possibilities helps determine whether an unexpected allele proportion reflects the sample, the experiment, or both.