@article {199,
	title = {Predicting educational achievement from DNA},
	journal = {Mol Psychiatry},
	volume = {22},
	year = {2017},
	month = {2017/02//print},
	pages = {267 - 272},
	abstract = {<p>A genome-wide polygenic score (GPS), derived from a 2013 genome-wide association study (N=127,000), explained 2\% of the variance in total years of education (EduYears). In a follow-up study (N=329,000), a new EduYears GPS explains up to 4\%. Here, we tested the association between this latest EduYears GPS and educational achievement scores at ages 7, 12 and 16 in an independent sample of 5825 UK individuals. We found that EduYears GPS explained greater amounts of variance in educational achievement over time, up to 9\% at age 16, accounting for 15\% of the heritable variance. This is the strongest GPS prediction to date for quantitative behavioral traits. Individuals in the highest and lowest GPS septiles differed by a whole school grade at age 16. Furthermore, EduYears GPS was associated with general cognitive ability (~3.5\%) and family socioeconomic status (~7\%). There was no evidence of an interaction between EduYears GPS and family socioeconomic status on educational achievement or on general cognitive ability. These results are a harbinger of future widespread use of GPS to predict genetic risk and resilience in the social and behavioral sciences.</p>
},
	isbn = {1359-4184},
	url = {http://dx.doi.org/10.1038/mp.2016.107},
	author = {Saskia Selzam and Eva Krapohl and Sophie von Stumm and Paul F O{\textquoteright}Reilly and Kaili Rimfeld and Yulia Kovas and Philip S. Dale and Lee,J J and Robert Plomin}
}
