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Related Concept Videos

Genomics02:02

Genomics

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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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Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Modern Molecular Taxonomy01:29

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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The Central Dogma01:20

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The central dogma explains the flow of genetic information from DNA nucleotides to the amino acid sequence of proteins.
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Evolutionary Relationships through Genome Comparisons02:54

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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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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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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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A Centralized Approach for Practicing Genomic Medicine.

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Genomic testing offers broad diagnostic potential but faces implementation challenges. This study introduces a centralized clinical service model to overcome barriers and improve patient care through genomic services.

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Area of Science:

  • Genomic Medicine
  • Clinical Diagnostics
  • Healthcare Systems

Background:

  • Next-generation sequencing (NGS) has advanced diagnostics, yet implementation is hindered by infrastructure, expertise, and interpretation complexities.
  • Increasing public interest and direct-to-consumer testing create a need for accessible genomic services.
  • Non-genetics specialists encounter challenges managing complex genomic test results.

Purpose of the Study:

  • To present a practical, centralized clinical service model for delivering genomic services.
  • To share 4 years of experience in implementing and optimizing an enterprise-wide genomic service.
  • To provide a framework for other institutions to integrate genomic services.

Main Methods:

  • Development and implementation of an independent, enterprise-wide clinical service model for genomic testing.
  • Analysis of >3400 referrals over 4 years to identify barriers and refine the service.
  • Focus on maximizing resources and improving patient care pathways.

Main Results:

  • Successful implementation of a centralized genomic service model over 4 years.
  • >3400 referrals processed, indicating significant demand and utility.
  • Identification of key barriers and strategies for overcoming them in genomic service delivery.

Conclusions:

  • A centralized clinical service model can effectively integrate genomic services into healthcare systems.
  • This approach addresses challenges in expertise, infrastructure, and result interpretation.
  • The presented framework supports widespread adoption of genomic testing and improved patient outcomes.