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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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Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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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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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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ClinVar: improving access to variant interpretations and supporting evidence.

Melissa J Landrum1, Jennifer M Lee1, Mark Benson1

  • 1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.

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Summary
This summary is machine-generated.

ClinVar is a public database of human genetic variants and their disease significance. It now accepts phenotypic data and offers improved search functions for easier variant discovery.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Medical Informatics

Background:

  • ClinVar is a public archive of human genetic variants and their clinical significance.
  • Data is submitted by various groups including clinical laboratories and research institutions.
  • The database aggregates information by variant-disease pairs and individual variants.

Purpose of the Study:

  • To describe the ClinVar database and its functionalities.
  • To highlight recent updates including acceptance of phenotypic information.
  • To detail improvements in search and data retrieval.

Main Methods:

  • Data aggregation by variant-disease pairs and variants.
  • Inclusion of provider interpretations and phenotyping-only submissions.
  • Indexing of new fields and implementation of filters for enhanced searching.

Main Results:

  • ClinVar provides a comprehensive archive of genetic variant interpretations.
  • New submission types focus on phenotypic data for individuals undergoing genetic testing.
  • Search and retrieval functions have been significantly improved with new indexed fields and filters.

Conclusions:

  • ClinVar serves as a vital resource for understanding the clinical significance of human genetic variants.
  • The database's ongoing improvements enhance its utility for researchers and clinicians.
  • Expanded data types and search capabilities facilitate more precise genetic variant analysis.