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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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Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
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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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P2GT: Fine-Grained Genomic Data Access Control With Privacy-Preserving Testing in Cloud Computing.

Qinlong Huang, Wei Yue, Yixian Yang

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    Summary
    This summary is machine-generated.

    This study introduces P2GT and P2GT+ for secure genomic data access in cloud computing. These methods enable privacy-preserving genetic tests, supporting personalized medicine with advanced encryption techniques.

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    Area of Science:

    • Bioinformatics
    • Genomic Data Security
    • Cloud Computing

    Background:

    • Genomic data is crucial for personalized medicine but presents storage and processing challenges.
    • Cloud computing offers solutions for massive genomic data but raises security and privacy concerns.

    Purpose of the Study:

    • To develop privacy-preserving methods for accessing and testing genomic data in cloud environments.
    • To enable secure personalized medicine and genetic testing over encrypted data.

    Main Methods:

    • Introduced P2GT using key-policy attribute-based encryption for genomic data access control.
    • Developed P2GT+ with identity-based encryption for flexible, privacy-preserving genetic tests.
    • Employed equality test algorithms for direct ciphertext analysis of single nucleotide polymorphisms (SNPs).

    Main Results:

    • P2GT provides unbounded attribute-based access control for genomic data.
    • P2GT+ supports privacy-preserving paternity, compatibility, and disease susceptibility tests.
    • Extensive experiments on the 1,000 Genomes dataset demonstrate practicality and scalability.

    Conclusions:

    • P2GT and P2GT+ effectively meet privacy-preserving and authorized genetic testing needs in cloud computing.
    • The proposed schemes are practical and scalable for real-world applications.