While I was on leave in the States I kept reading interesting studies and news articles and I was really impressed by both this study and this article about the study by Ed Yong for The Atlantic. Both the authors of the study and Ed know how touchy the subject of genes and intelligence can be. That is why the researchers wrote an accompanying FAQ that explains what they found and what it means.
What I like in The Atlantic article is the good nuanced reporting, such as:
This isn’t to say that staying in school is “in the genes.” Each genetic variant has a tiny effect on its own, and even together, they don’t control people’s fates. The team showed this by creating a “polygenic score”—a tool that accounts for variants across a person’s entire genome to predict how much formal education they’re likely to receive. It does a lousy job of predicting the outcome for any specific individual, but it can explain 11 percent of the population-wide variation in years of schooling.
And the explaining what it means
“…Now, consider that household income explains just 7 percent of the variation in educational attainment, which is less than what genes can now account for. “Most social scientists wouldn’t do a study without accounting for socioeconomic status, even if that’s not what they’re interested in,” says Harden. The same ought to be true of our genes.”
Do read the complete article in The Atlantic or even better, the original study:
Here we conducted a large-scale genetic association analysis of educational attainment in a sample of approximately 1.1 million individuals and identify 1,271 independent genome-wide-significant SNPs. For the SNPs taken together, we found evidence of heterogeneous effects across environments. The SNPs implicate genes involved in brain-development processes and neuron-to-neuron communication. In a separate analysis of the X chromosome, we identify 10 independent genome-wide-significant SNPs and estimate a SNP heritability of around 0.3% in both men and women, consistent with partial dosage compensation. A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11–13% of the variance in educational attainment and 7–10% of the variance in cognitive performance. This prediction accuracy substantially increases the utility of polygenic scores as tools in research.