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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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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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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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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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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Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.
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Genetic Variation01:25

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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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The Portuguese Beacon: sharing genomic variant data safely.

Jorge S Oliveira1,2, Sara Sant'Ana1, Miguel Santos1,2

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This study introduces a privacy-preserving Beacon endpoint for genomic data discovery, the first of its kind. It uses a re-identification prevention algorithm to balance data privacy with biomedical research needs.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Data Privacy

Background:

  • European initiatives like 1+ Million Genomes and European Genomic Data Infrastructure are advancing genomic medicine.
  • Discovering private genomic datasets via public metadata is crucial for research.
  • Genomic Beacon networks aim to facilitate data discovery but pose re-identification risks.

Purpose of the Study:

  • To implement a Portuguese Beacon endpoint with a novel re-identification prevention algorithm.
  • To assess the algorithm's impact on genomic data discovery and privacy.

Main Methods:

  • Developed a Portuguese Beacon endpoint integrated into the European Genomic Data Infrastructure.
  • Implemented a re-identification prevention algorithm within the Beacon endpoint.
  • Evaluated the algorithm's effect on data discovery based on dataset size.

Main Results:

  • Successfully deployed the first Beacon endpoint incorporating a re-identification prevention algorithm.
  • The algorithm's impact on data discovery is dataset-size dependent.
  • Demonstrated a method to enhance privacy in genomic data discovery.

Conclusions:

  • The implemented Beacon endpoint effectively balances genomic data privacy with research utility.
  • This approach sets a precedent for privacy-preserving genomic data sharing.
  • Further research is needed to optimize the algorithm's performance across various dataset sizes.