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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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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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[Genetic analysis in prostate cancer].

Takashi Kobayashi, Osamu Ogawa

    Nihon Rinsho. Japanese Journal of Clinical Medicine
    |December 19, 2014
    PubMed
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    Next-generation sequencing (NGS) has revolutionized prostate cancer research, revealing its unique genomic landscape and lower mutation rates. Future studies will utilize NGS to explore tumor heterogeneity and bone metastasis in prostate cancer.

    Area of Science:

    • Oncology
    • Genomics
    • Molecular Biology

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