WASHINGTON: A new DNA tool created by Michigan State University can accurately predict people’s height, and more importantly, could potentially assess their risk for serious illnesses, such as heart disease and cancer.
For the first time, the tool, or algorithm, builds predictors for human traits such as height, bone density and even the level of education a person might achieve, purely based on one’s genome. But the applications may not stop there.
“While we have validated this tool for these three outcomes, we can now apply this method to predict other complex traits related to health risks such as heart disease, diabetes and breast cancer,” said Stephen Hsu, lead investigator of the study and vice president for research and graduate studies at MSU. “This is only the beginning,” Mr Hsu told the Science Daily.
Further applications have the potential to dramatically advance the practice of precision health, which allows physicians to intervene as early as possible in patient care and prevent or delay illness. The research, featured in the October issue of Genetics, analysed the complete genetic makeup of nearly 500,000 adults in the United Kingdom using machine learning, where a computer learns from data.
In validation tests, the computer accurately predicted everyone’s height within roughly an inch. While bone density and educational attainment predictors were not as precise, they were accurate enough to identify outlying individuals who were at risk of having very low bone density associated with osteoporosis or were at risk of struggling in school. (AGENCIES)