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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.
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Pharmacogenomics: Identification of New Drug Targets01:29

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Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
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Pharmacogenetics and Pharmacogenomics: Overview01:29

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Pharmacogenetics and pharmacogenomics examine how genetic factors influence an individual's response to drugs. While pharmacogenetics focuses on the impact of specific genetic variants on drug effects, pharmacogenomics takes a broader approach, studying how genetic variation across populations contributes to differences in drug responses. These fields aim to explain why individuals may experience varying levels of efficacy or adverse reactions to the same medication.Variability in drug...
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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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Combination Therapies and Personalized Medicine02:50

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
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Related Experiment Video

Updated: Feb 22, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Genomic medicine and data sharing.

Sobia Raza1, Alison Hall1

  • 1PHG Foundation, 2 Worts Causeway, Cambridge, CB1 8RN, UK.

British Medical Bulletin
|September 16, 2017
PubMed
Summary
This summary is machine-generated.

Effective genomic data sharing is crucial for advancing genomic medicine in the UK. Current challenges include technical debates and public trust, hindering progress in clinical care and research.

Keywords:
clinical caredata sharinggenomicspolicy

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Area of Science:

  • Genomic Medicine
  • Health Data Policy

Background:

  • Effective data sharing is vital for high-quality genomic services and advancing genomic medicine in the UK.
  • Despite its importance, data sharing is not effectively implemented across clinical specialities.

Purpose of the Study:

  • To highlight the necessity of data sharing for genomic medicine.
  • To identify barriers and opportunities for improving data sharing in the UK.

Main Methods:

  • Review of original papers, reviews, guidelines, policy papers, and web resources.
  • Analysis of areas of agreement, controversy, and opportunities for developing research.

Main Results:

  • Agreement exists on the need for infrastructure, policies, and professional/public acceptance for genomic data sharing.
  • Controversy surrounds technical approaches and safeguards, impacting trust and confidence.
  • Policy developments offer opportunities to establish effective and safeguarded data sharing systems.

Conclusions:

  • Addressing technical debates and enhancing public trust are critical for enabling effective genomic data sharing.
  • Developing robust mechanisms for public trust is a timely research priority.
  • Policy and infrastructure improvements are needed to support proportionate and safeguarded data sharing for genomic medicine.