The algorithm that can interpret DNA analysis data
American scientists have proposed an algorithm that can interpret DNA analysis data and predict growth, bone density, and even the level of education of a person.
Although we confirmed the tool’s performance for these three specific cases, we can now use the same method to predict other complex characteristics associated with the risk of cardiovascular diseases, diabetes and breast cancer.
– Stephen Hsu, University of Michigan
In their work, scientists used anonymized personal data and DNA sequencing results for 500,000 UK residents contained in the open base of the UK Biobank. A neural network was prepared that is capable of analyzing single nucleotide substitutions, a multitude of minimal differences in the genomes of different people. After the necessary training, she was really able to predict the height of a person according to DNA with an accuracy of a couple of centimeters.
The accuracy of predicting the level of education and bone density was not so high, but extreme options — the risk of developing abnormally brittle bones or serious difficulties even with schooling — the neural network predicted fairly confidently. However, the authors continue to improve their program and are working to expand the data set for training the neural network. This should improve the results and will expand the application of the new tool, which someday may become an important part of the medicine of the future.
More about the algorithm that can interpret DNA analysis data, you can read here.