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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Genomics02:02

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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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Genetic Screens02:46

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
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Genome-wide Association Studies-GWAS01:11

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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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Mutation, Gene Flow, and Genetic Drift01:09

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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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A Case-Based Approach to Understanding Complex Genetic Information in an Evolving Landscape.

Courtney D DiNardo1, Larissa A Korde2, Matthew B Yurgelun3

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Next-generation sequencing in cancer care reveals complex genetic information. Understanding clonal hematopoiesis, somatic mosaicism, and germline variants is crucial for accurate interpretation and patient management.

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Area of Science:

  • Oncology
  • Genetics
  • Clinical Interpretation

Background:

  • Next-generation sequencing (NGS) advances cancer care but increases genetic data complexity.
  • Interpreting germline and somatic variants requires understanding clonal hematopoiesis and circulating tumor cells.
  • Nuanced understanding of genotype-phenotype correlations in inherited cancer syndromes impacts patient management.

Purpose of the Study:

  • To provide clinicians with a case-based approach to complex genetic findings in oncology.
  • To clarify the interpretation of clonal hematopoiesis and somatic mosaicism.
  • To review implications of incidental germline findings and Lynch syndrome management.

Main Methods:

  • Case-based review focusing on clinical oncology.
  • Discussion of clonal hematopoiesis and somatic mosaicism.
  • Analysis of germline variants in tumor testing and Lynch syndrome.

Main Results:

  • Clonal hematopoiesis and somatic mosaicism can complicate germline sequencing interpretation.
  • Detection of potential germline variants during tumor testing has significant management implications.
  • Lynch syndrome requires specific gene-based risk assessment and surveillance.

Conclusions:

  • Clinicians need enhanced understanding of complex genetic variants for accurate cancer care.
  • Case-based learning is essential for navigating challenges in cancer genetic testing.
  • Direct-to-consumer genetic testing presents unique interpretation difficulties.