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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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Among all the organelles in an animal cell, only mitochondria have their own independent genomes. Animal mitochondrial DNA is a double-stranded, closed-circular molecule with around 20,000 base pairs. Mitochondrial DNA is unique in that one of its two strands, the heavy, or H, -strand is guanine rich, whereas the complementary strand is cytosine rich and called the light, or L, -strand. Compared to nuclear DNA, mitochondrial DNA has a very low percentage of non-coding regions and is marked by...
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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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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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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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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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GREGoR: Accelerating Genomics for Rare Diseases.

Moez Dawood1,2,3, Ben Heavner4, Marsha M Wheeler4

  • 1Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.

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|January 7, 2025
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Summary
This summary is machine-generated.

The Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) Consortium accelerates rare disease diagnosis by applying advanced genomics. It shares extensive data to improve genetic diagnostic approaches for unsolved cases.

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Area of Science:

  • Genomics
  • Rare Diseases
  • Genetic Diagnostics

Background:

  • Rare diseases affect 1 in 20 people globally, yet over half lack a genetic diagnosis.
  • Advances in DNA sequencing and data sharing have improved rare disease diagnostics.
  • Many patients remain undiagnosed despite prior clinical genetic testing, often exome-negative.

Purpose of the Study:

  • To study thousands of challenging rare disease cases and families.
  • To apply, standardize, and evaluate emerging genomics technologies and analytics.
  • To accelerate the adoption of advanced genomics in clinical rare disease diagnosis.

Main Methods:

  • Established the Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) Consortium.
  • Collected and analyzed genomic data from ~7500 individuals in ~3000 families.
  • Made data available via the Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL).

Main Results:

  • Generated a foundational dataset of challenging rare disease cases.
  • Provided a resource for evaluating and standardizing new genomics technologies.
  • Facilitated global research efforts to develop improved genetic diagnostic approaches.

Conclusions:

  • The GREGoR Consortium provides essential resources for advancing rare disease genomics.
  • The shared data and framework will catalyze the development of novel diagnostic solutions.
  • This initiative supports the future of genetic diagnostics in rare diseases.