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Ferreira, M. A., Vonk, J. M., Baurecht, H., Marenholz, I., Tian, C., Hoffman, J. D., et al. (2017). Shared genetic origin of asthma, hay fever and eczema elucidates allergic disease biology (Vol. 49).
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Gusarova, V., O'Dushlaine, C., Teslovich, T. M., Benotti, P. N., Mirshahi, T., Gottesman, O., et al. (2018). Genetic inactivation of ANGPTL4 improves glucose homeostasis and is associated with reduced risk of diabetes. Nat Commun, 9(1), 2252.
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Helgadottir, A., Thorleifsson, G., Gretarsdottir, S., Stefansson, O. A., Tragante, V., Thorolfsdottir, R. B., et al. (2018). Genome-wide analysis yields new loci associating with aortic valve stenosis. Nat Commun, 9(1), 987.
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Liu, D. J., Peloso, G. M., Yu, H., Butterworth, A. S., Wang, X., Mahajan, A., et al. (2017). Exome-wide association study of plasma lipids in >300,000 individuals. Nat Genet, 49(12), 1758–1766.
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Lu, X., Peloso, G. M., Liu, D. J., Wu, Y., Zhang, H., Zhou, W., et al. (2017). Exome chip meta-analysis identifies novel loci and East Asian-specific coding variants that contribute to lipid levels and coronary artery disease (Vol. 49).
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Marouli, E., Graff, M., Medina-Gomez, C., Lo, K. S., Wood, A. R., Kjaer, T. R., et al. (2017). Rare and low-frequency coding variants alter human adult height. Nature, 542(7640), 186–190.
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Nielsen, J. B., Fritsche, L. G., Zhou, W., Teslovich, T. M., Holmen, O. L., Gustafsson, S., et al. (2018). Genome-wide Study of Atrial Fibrillation Identifies Seven Risk Loci and Highlights Biological Pathways and Regulatory Elements Involved in Cardiac Development. Am J Hum Genet, 102(1), 103–115.
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Nielsen, J. B., Thorolfsdottir, R. B., Fritsche, L. G., Zhou, W., Skov, M. W., Graham, S. E., et al. (2018). Biobank-driven genomic discovery yields new insight into atrial fibrillation biology. Nat Genet, 50(9), 1234–1239.
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Zhou, W., Fritsche, L. G., Das, S., Zhang, H., Nielsen, J. B., Holmen, O. L., et al. (2017). Improving power of association tests using multiple sets of imputed genotypes from distributed reference panels. Genet Epidemiol, 41(8), 744–755.
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Zhou, W., Nielsen, J. B., Fritsche, L. G., Dey, R., Gabrielsen, M. E., Wolford, B. N., et al. (2018). Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies. Nat Genet, 50(9), 1335–1341.
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