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A 45-year-old patient is diagnosed with breast cancer. Genetic testing reveals a BRCA1 mutation. How might this information impact her treatment?

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A hospital wants to use machine learning to predict disease risks from patient EHR data. What is a key challenge they may face?

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Researchers want to investigate the genetic factors influencing Type 2 Diabetes by scanning the entire genome for variations associated with the disease. Which method should they use?

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Scientists observe that a single genetic mutation appears to influence multiple health outcomes, such as obesity, diabetes, and heart disease. They investigate these associations by scanning for all possible phenotypic effects of this one genetic variant. What is this method called?

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Which of the following best describes the purpose of Mendelian Randomization in precision medicine?

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Which scenario would require the use of Polygenic Risk Scores (PRS) rather than a Genome-Wide Association Study (GWAS)?

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A researcher discovers a genetic variant that appears to influence body mass index (BMI). To explore the variant’s impact on multiple health outcomes, including diabetes, cardiovascular disease, and cancer, which approach should be used?

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What is a Polygenetic Risk Score (PRS)?

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According to the "Precision Medicine" presentation, what is a Phenotype Risk Score (PheRS)?

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According to the "Probabilistic Clinical Reasoning" presentations, what is the purpose of using probability in medical decision-making?

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