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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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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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Precision over quantity: identifying trustworthy genomic risk stratification models

Valbert Oliveira Costa Filho1, Pedro Robson Costa Passos1

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Einstein (Sao Paulo, Brazil)
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PubMed
Summary

No abstract available in PubMed .

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