The DNA test reveals which children have a higher risk of obesity in adulthood.

Genetic test could predict if a child will be obese as an adult.

A global study, published in Nature Medicine magazine, found that the risk of severe obesity in adulthood can be identified in early childhood through a polygenic risk score (PGS).

The PGS acts as a “calculator” that combines the impact of different variants of genetic risk that a person can carry, according to researchers.

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The test can be carried out in children before their weight begins to change, already in the 5 years, according to a press release from the Novo Nordisk Foundation of the University of Copenhagen for basic metabolic research (CBMR).

Researchers suggest that this can support early prevention strategies for obesity, such as lifestyle interventions at a younger age.

“In general, these data show that the PGS have the potential to improve the prediction of obesity, particularly when they are implemented early in life,” the researchers concluded in the study.

The main author of Study Roelof Smit, an assistant professor at the NNF Center, wrote in a press release statement that the score is “so powerful” due to his ability to predict the obesity of adults “long before other risk factors begin to shape their weight later in childhood.”

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“Inventing this point can have a great impact,” he said.

The main study was an international collaboration of human genetics researchers, which consists of more than 600 scientists from 500 global institutions, as well as the research company and consumer genetics 23andme, Inc.

After collecting genetic data from more than five million people, scientists created what is described as the largest and most diverse genetic data set in informed history, using it to create the PGS.

The results showed that the PGS was twice more effective than the best previous test to predict the risk of obesity, which represents approximately 17.6% of a child’s risk of developing a high BMI (body mass index) as an adult.

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“This new polygenic score is a dramatic improvement in predictive power and a leap forward in the genetic prediction of the risk of obesity, which brings us close more to clinically useful genetic tests,” he said in a co -author statement of the Ruth Loos studio, a professor of CBMR at the University of Copenhagen, in a statement.

Scientists also discovered that those with greater genetic risk of obesity responded more to lifestyle weight loss interventions.

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These individuals also gained weight faster once the interventions ended.

The researchers pointed out that the new PGS has its limitations, since it was “much better to predict obesity” in those who have a European ancestry than in those with African ancestry.