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Saturday, July 23, 2016

Genetic Analysis Predicts Academic Achievement For The First Time

Genetic Analysis Predicts Academic Achievement For The First Time:

Genetic Analysis Predicts Academic Achievement For The First Time
Don’t worry, we’re not on our way to a “Gattaca”-style society.




Teachers and parents may one day be able to use a genetic test to predict whether or not a child will excel at or struggle with academics in the future, based on new research pioneered by scientists at King’s College London.
While the prospect may present a frightening vision of a future in which ability and potential will be determined by one’s genetic makeup, and indeed is tainted by a history of eugenics and racist science, the researchers say the tests will help identify, early on, the children who are at risk academically and help educators create special interventions for them.
Saskia Selzam, lead author of the study, explains more in the video above.
“By using these polygenic scores, it is actually possible to identify those for example who are maybe at heightened risk for a learning disability, for example,” she said. “So imagine a scenario where we could use a polygenic score very early on to give us information about whether someone might have some learning problems later on.”
But other experts who have also mined genetic testing to predict behavioral outcomes warn that we have a long way to go before genetic testing can predict individual educational achievement, and that research is the genetic tool’s primary utility. 

How genetic scoring tool works

Scientists use a special kind of DNA analysis called a genome-wide polygenic score. It aggregates the tiny effects of hundreds of thousands of genetic variants to create the scale that can predict academic achievement. In this case, the researchers from King’s College London borrowed the formula for a polygenic score that others had already used to predict academic attainment (the number of years of formal education a person completes).
They then applied the polygenic score to a population of 5,825 unrelated children to see if they could predict how those kids would score on tests.  
The King’s College researchers looked back at students’ academic scores at ages 7, 12 and 16 and found that genes alone accounted for a growing variance in grades that grew as the kids got older. At age 7, genes accounted for about 3 percent of grade differences. By age 12, the number was up to about 5 percent. By Genetic Analysis Predicts Academic Achievement For The First Time: