@article {10784,
	title = {Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.},
	journal = {Nat Genet},
	volume = {50},
	year = {2018},
	month = {2018 Aug},
	pages = {1112-1121},
	abstract = {<p>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.</p>},
	issn = {1546-1718},
	doi = {10.1038/s41588-018-0147-3},
	author = {Lee, James J and Wedow, Robbee and Okbay, Aysu and Kong, Edward and Maghzian, Omeed and Zacher, Meghan and Nguyen-Viet, Tuan Anh and Bowers, Peter and Sidorenko, Julia and Karlsson Linn{\'e}r, Richard and Fontana, Mark Alan and Kundu, Tushar and Lee, Chanwook and Li, Hui and Li, Ruoxi and Royer, Rebecca and Timshel, Pascal N and Walters, Raymond K and Willoughby, Emily A and Yengo, Loic and Alver, Maris and Bao, Yanchun and Clark, David W and Day, Felix R and Furlotte, Nicholas A and Joshi, Peter K and Kemper, Kathryn E and Kleinman, Aaron and Langenberg, Claudia and M{\"a}gi, Reedik and Trampush, Joey W and Verma, Shefali Setia and Wu, Yang and Lam, Max and Zhao, Jing Hua and Zheng, Zhili and Boardman, Jason D and Campbell, Harry and Freese, Jeremy and Harris, Kathleen Mullan and Hayward, Caroline and Herd, Pamela and Kumari, Meena and Lencz, Todd and Luan, Jian{\textquoteright}an and Malhotra, Anil K and Metspalu, Andres and Milani, Lili and Ong, Ken K and Perry, John R B and Porteous, David J and Ritchie, Marylyn D and Smart, Melissa C and Smith, Blair H and Tung, Joyce Y and Wareham, Nicholas J and Wilson, James F and Beauchamp, Jonathan P and Conley, Dalton C and Esko, T{\~o}nu and Lehrer, Steven F and Magnusson, Patrik K E and Oskarsson, Sven and Pers, Tune H and Robinson, Matthew R and Thom, Kevin and Watson, Chelsea and Chabris, Christopher F and Meyer, Michelle N and Laibson, David I and Yang, Jian and Johannesson, Magnus and Koellinger, Philipp D and Turley, Patrick and Visscher, Peter M and Benjamin, Daniel J and Cesarini, David}
}
@article {8039,
	title = {Population genetic differentiation of height and body mass index across Europe.},
	journal = {Nat Genet},
	volume = {47},
	year = {2015},
	month = {2015 Nov},
	pages = {1357-62},
	abstract = {<p>Across-nation differences in the mean values for complex traits are common, but the reasons for these differences are unknown. Here we find that many independent loci contribute to population genetic differences in height and body mass index (BMI) in 9,416 individuals across 14 European countries. Using discovery data on over 250,000 individuals and unbiased effect size estimates from 17,500 sibling pairs, we estimate that 24\% (95\% credible interval (CI) = 9\%, 41\%) and 8\% (95\% CI = 4\%, 16\%) of the captured additive genetic variance for height and BMI, respectively, reflect population genetic differences. Population genetic divergence differed significantly from that in a null model (height, P < 3.94 {\texttimes} 10(-8); BMI, P < 5.95 {\texttimes} 10(-4)), and we find an among-population genetic correlation for tall and slender individuals (r = -0.80, 95\% CI = -0.95, -0.60), consistent with correlated selection for both phenotypes. Observed differences in height among populations reflected the predicted genetic means (r = 0.51; P < 0.001), but environmental differences across Europe masked genetic differentiation for BMI (P < 0.58).</p>},
	issn = {1546-1718},
	doi = {10.1038/ng.3401},
	author = {Robinson, Matthew R and Hemani, Gibran and Medina-Gomez, Carolina and Mezzavilla, Massimo and Esko, T{\~o}nu and Shakhbazov, Konstantin and Powell, Joseph E and Vinkhuyzen, Anna and Berndt, Sonja I and Gustafsson, Stefan and Justice, Anne E and Kahali, Bratati and Locke, Adam E and Pers, Tune H and Vedantam, Sailaja and Wood, Andrew R and van Rheenen, Wouter and Andreassen, Ole A and Gasparini, Paolo and Metspalu, Andres and Berg, Leonard H van den and Veldink, Jan H and Rivadeneira, Fernando and Werge, Thomas M and Abecasis, Goncalo R and Boomsma, Dorret I and Chasman, Daniel I and de Geus, Eco J C and Frayling, Timothy M and Hirschhorn, Joel N and Hottenga, Jouke Jan and Ingelsson, Erik and Loos, Ruth J F and Magnusson, Patrik K E and Martin, Nicholas G and Montgomery, Grant W and North, Kari E and Pedersen, Nancy L and Spector, Timothy D and Speliotes, Elizabeth K and Goddard, Michael E and Yang, Jian and Visscher, Peter M}
}
