A group of 78 researchers have identified 1,271 genetic variations that could have affected the extent of education a person would complete.
There have been a couple of years back. This latest study adds to the earlier one. The study was published earlier this week in the journal Nature Genetics.
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This new study is one of the largest genetic studies with 2016.
According to author of the study and associate professor for the Center for Economic and Social Research at USC Dornsife, Daniel Benjamin, The total effect of the genetic variations is only 4 percent of the variation in educational achievements.
He explained that the genetic variations were only predictable schooling "at best Howev dem demographic features, he explained.
For this study, the team of researchers of individual data from the UK Biobank Resource along with genomics company 23andMe.
The 1.1 million participants' data was collected from 71 datasets and they belong to 15 different countries. 30 years old.
The researchers have also come to terms with social factors such as maternal education, socioeconomic status, household income, etc. In order to find if the genetic variations were linked to educational attainment, the team of researchers devalued a "polygenic score".
1 million genetic variations included those linked to educational attainment and thus those measured by the team. They found as a result of their study that just like the social and demographic factors.
Benjamin Explained that the earlier study has proven to be true and that in itself is an important finding. He also refrained from calling these genes "genes for education" saying that it would be "misleading".
Peter Visscher, a senior author and a professor at the University of Queensland, explained that these genetic variants have been seen to almost all stages of the development of the brain and thus in neurological connections within the brain.
These are not genetically determined differences in gender between differences. Benjamin said there are several more genetic variations that need to be explored. These can be described only with larger populations of participants.