<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&#39;s assume SNP A and B are responsible for disease C.&nbsp;The algorithms are like weighing&nbsp;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&nbsp;very&nbsp;low incident rate of disease C from the first company and very&nbsp;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&#39;t think the total raw data and experiment on the prediction&nbsp;are dangerous, but providing prediction to the customers may be dangerous.&nbsp;Then is it right for the government to impose restrictions on this area to stop people&nbsp;abusing unreliable data? For example, the Korean government made a rule that the result can be provided under the association with doctors.</p>