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Results 11-16 of 16 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2013GWAS of 126,559 individuals identifies genetic variants associated with educational attainmentRietveld, C.; Medland, S.; Derringer, J.; Yang, J.; Esko, T.; Martin, N.; Westra, H.-J.; Shakhbazov, K.; Abdellaoui, A.; Agrawal, A.; Albrecht, E.; Alizadeh, B.; Amin, N.; Barnard, J.; Baumeister, S.; Benke, K.; Bielak, L.; Boatman, J.; Boyle, P.; Davies, G.; et al.
2011Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource StudyFox, E.; Young, J.; Li, Y.; Dreisbach, A.; Keating, B.; Musani, S.; Liu, K.; Morrison, A.; Ganesh, S.; Kutlar, A.; Ramachandran, V.; Polak, J.; Fabsitz, R.; Dries, D.; Farlow, D.; Redline, S.; Adeyemo, A.; Hirschorn, J.; Sun, Y.; Wyatt, S.; et al.
2012Common variants at 6q22 and 17q21 are associated with intracranial volumeIkram, M.; Fornage, M.; Smith, A.; Seshadri, S.; Schmidt, R.; Debette, S.; Vrooman, H.; Sigurdsson, S.; Ropele, S.; Taal, H.; Mook-Kanamori, D.; Coker, L.; Longstreth Jr, W.; Niessen, W.; DeStefano, A.; Beiser, A.; Zijdenbos, A.; Struchalin, M.; Jack Jr, C.; Rivadeneira, F.; et al.
2011Association of genetic loci with glucose levels in childhood and adolescence: a meta-analysis of over 6,000 childrenBarker, A.; Sharp, S.; Timpson, N.; Bouatia-Naji, N.; Warrington, N.; Kanoni, S.; Beilin, L.; Brage, S.; Deloukas, P.; Evans, D.; Grontved, A.; Hassanali, N.; Lawlor, D.; Lecoeur, C.; Loos, R.; Lye, S.; McCarthy, M.; Mori, T.; Coumba Ndiaye, N.; Newnham, J.; et al.
2010Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distributionHeid, I.; Jackson, A.; Randall, J.; Winkler, T.; Qi, L.; Steinthorsdottir, V.; Thorleifsson, G.; Zillikens, M.; Speliotes, E.; Magi, R.; Workalemahu, T.; White, C.; Bouatia-Naji, N.; Harris, T.; Berndt, S.; Ingelsson, E.; Willer, C.; Weedon, M.; Luan, J.; Vedantam, S.; et al.
2011Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetesStrawbridge, R.; Dupuis, J.; Prokopenko, I.; Barker, A.; Ahlqvist, E.; Rybin, D.; Petrie, J.; Travers, M.; Bouatia-Naji, N.; Dimas, A.; Nica, A.; Wheeler, E.; Chen, H.; Voight, B.; Taneera, J.; Kanoni, S.; Peden, J.; Turrini, F.; Gustafsson, S.; Zabena, C.; et al.

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