Difference between revisions of "BuKyung 5.27"
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<p>Question: According to the book, The $1000 Genome, we can see the extreme differences among the company. The companies predict the incidence rate of the disease based on their algorithm. Let's assume SNP A and B are responsible for disease C. The algorithms are like weighing 0.1 to SNP named A and weighing 0.7 to SNP named B. The other company may weigh 0.8 to SNP A and weigh 0.1 to SNP B. Then an individual who has SNP A and not SNP B may get result of very low incident rate of disease C from the first company and very high incident rate of disease C from the last company. Since the result varies dramatically as the company changes, the result can be very dangerous to believe and utilize for real. I don't think the total raw data and experiment on the prediction are dangerous, but providing prediction to the customers may be dangerous. Then is it right for the government to impose restrictions on this area to stop people abusing unreliable data? For example, the Korean government made a rule that the result can be provided under the association with doctors.</p> | <p>Question: According to the book, The $1000 Genome, we can see the extreme differences among the company. The companies predict the incidence rate of the disease based on their algorithm. Let's assume SNP A and B are responsible for disease C. The algorithms are like weighing 0.1 to SNP named A and weighing 0.7 to SNP named B. The other company may weigh 0.8 to SNP A and weigh 0.1 to SNP B. Then an individual who has SNP A and not SNP B may get result of very low incident rate of disease C from the first company and very high incident rate of disease C from the last company. Since the result varies dramatically as the company changes, the result can be very dangerous to believe and utilize for real. I don't think the total raw data and experiment on the prediction are dangerous, but providing prediction to the customers may be dangerous. Then is it right for the government to impose restrictions on this area to stop people abusing unreliable data? For example, the Korean government made a rule that the result can be provided under the association with doctors.</p> | ||
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Latest revision as of 01:24, 11 June 2016
Back to:Baik BuKyung
Question: According to the book, The $1000 Genome, we can see the extreme differences among the company. The companies predict the incidence rate of the disease based on their algorithm. Let's assume SNP A and B are responsible for disease C. The algorithms are like weighing 0.1 to SNP named A and weighing 0.7 to SNP named B. The other company may weigh 0.8 to SNP A and weigh 0.1 to SNP B. Then an individual who has SNP A and not SNP B may get result of very low incident rate of disease C from the first company and very high incident rate of disease C from the last company. Since the result varies dramatically as the company changes, the result can be very dangerous to believe and utilize for real. I don't think the total raw data and experiment on the prediction are dangerous, but providing prediction to the customers may be dangerous. Then is it right for the government to impose restrictions on this area to stop people abusing unreliable data? For example, the Korean government made a rule that the result can be provided under the association with doctors.
