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Related Concept Videos

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Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
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Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...
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The deviations show how spread out the data are about the mean. A positive deviation occurs when the data value exceeds the mean, whereas a negative deviation occurs when the data value is less than the mean. If the deviations are added, the sum is always zero. So one cannot simply add the deviations to get the data spread. By squaring the deviations, the numbers are made positive; thus, their sum will also be positive.
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Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
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Election 2016: Voting on Variants.

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Researchers developed a high-throughput system to functionally test genetic variants of unknown significance. This method aids in understanding cancer-related gene mutations and their biological relevance.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Cancer Research

Background:

  • Genome sequencing frequently uncovers genetic variants with unknown functional or clinical significance.
  • Identifying the impact of these variants is crucial for understanding disease mechanisms, particularly in cancer.

Discussion:

  • The study introduces a novel, high-throughput system designed for the functional annotation of genetic variants.
  • This system employs a series of biologically relevant assays to assess variant impact.
  • It addresses the challenge of interpreting variants of unknown significance (VUS) identified in cancer-associated genes.

Key Insights:

  • The presented system enables rapid, large-scale functional characterization of genetic variants.
  • It provides a biologically relevant context for assessing the significance of identified mutations.
  • This approach facilitates the prioritization of variants for further investigation in cancer genomics.

Outlook:

  • This high-throughput functional annotation system has the potential to accelerate variant interpretation in clinical genomics.
  • It can aid in identifying novel cancer drivers and understanding the functional consequences of genetic alterations.
  • Future applications may include refining variant classification and guiding targeted therapies.