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Anttila, V., Winsvold, B. S., Gormley, P., Kurth, T., Bettella, F., McMahon, G., et al. (2013). Genome-wide meta-analysis identifies new susceptibility loci for migraine (Vol. 45).
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Asberg, A., Thorstensen, K., Irgens, W. O., Romundstad, P. R., & Hveem, K. (2013). Cancer risk in HFE C282Y homozygotes: results from the HUNT 2 study. Scand J Gastroenterol, 48(2), 189–195.
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Ask, H., Rognmo, K., Torvik, F. A., Roysamb, E., & Tambs, K. (2012). Non-random mating and convergence over time for alcohol consumption, smoking, and exercise: the Nord-Trondelag Health Study. Behav Genet, 42(3), 354–365.
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Berndt, S. I., Gustafsson, S., Magi, R., Ganna, A., Wheeler, E., Feitosa, M. F., et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nat Genet, 45(5), 501–512.
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Bjorngaard, J. H., Gunnell, D., Elvestad, M. B., Davey Smith, G., Skorpen, F., Krokan, H., et al. (2013). The causal role of smoking in anxiety and depression: a Mendelian randomization analysis of the HUNT study. Psychol Med, 43(4), 711–719.
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Bjornland, T., Langaas, M., Grill, V., & Mostad, I. L. (2017). Assessing gene-environment interaction effects of FTO, MC4R and lifestyle factors on obesity using an extreme phenotype sampling design: Results from the HUNT study. PLoS One, 12(4), e0175071.
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Chen, C. H., Peng, Q., Schork, A. J., Lo, M. T., Fan, C. C., Wang, Y., et al. (2015). Large-scale genomics unveil polygenic architecture of human cortical surface area. Nature communications, 6, 7549.
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Cuypers, K., De Ridder, K., Kvaloy, K., Knudtsen, M. S., Krokstad, S., Holmen, J., et al. (2012). Leisure time activities in adolescence in the presence of susceptibility genes for obesity: risk or resilience against overweight in adulthood? The HUNT study. BMC Public Health, 12, 820.
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Dastani, Z., Hivert, M. - F., Timpson, N., Perry, J. R. B., Yuan, X., Scott, R. A., et al. (2012). Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet, 8(3), e1002607.
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Demirkan, A., van Duijn, C. M., Ugocsai, P., Isaacs, A., Pramstaller, P. P., Liebisch, G., et al. (2012). Genome-wide association study identifies novel loci associated with circulating phospho- and sphingolipid concentrations. PLoS Genet, 8(2), e1002490.
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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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Gaulton, K. J., Ferreira, T., Lee, Y., Raimondo, A., Magi, R., Reschen, M. E., et al. (2015). Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci. Nature genetics, 47(12), 1415–1425.
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Graff, M., Scott, R. A., Justice, A. E., Young, K. L., Feitosa, M. F., Barata, L., et al. (2017). Genome-wide physical activity interactions in adiposity – A meta-analysis of 200,452 adults (Vol. 13).
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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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Holmen, O. L., Zhang, H., Fan, Y., Hovelson, D. H., Schmidt, E. M., Zhou, W., et al. (2014). Systematic evaluation of coding variation identifies a candidate causal variant in TM6SF2 influencing total cholesterol and myocardial infarction risk. Nat Genet, 46(4), 345–351.
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Hung, R. J., McKay, J. D., Gaborieau, V., Boffetta, P., Hashibe, M., Zaridze, D., et al. (2008). A susceptibility locus for lung cancer maps to nicotinic acetylcholine receptor subunit genes on 15q25. Nature, 452(7187), 633–637.
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Johnson, M. P., Brennecke, S. P., East, C. E., Dyer, T. D., Roten, L. T., Proffitt, J. M., et al. (2013). Genetic dissection of the pre-eclampsia susceptibility locus on chromosome 2q22 reveals shared novel risk factors for cardiovascular disease. Mol Hum Reprod, 19(7), 423–437.
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Johnson, M. P., Brennecke, S. P., East, C. E., Goring, H. H. H., Kent, J. W. J., Dyer, T. D., et al. (2012). Genome-wide association scan identifies a risk locus for preeclampsia on 2q14, near the inhibin, beta B gene. PLoS One, 7(3), e33666.
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Kelly, M. A., Rees, S. D., Hydrie, M. Z. I., Shera, A. S., Bellary, S., O'Hare, J. P., et al. (2012). Circadian gene variants and susceptibility to type 2 diabetes: a pilot study. PLoS One, 7(4), e32670.
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Kvaloy, K., Holmen, J., Hveem, K., & Holmen, T. L. (2015). Genetic Effects on Longitudinal Changes from Healthy to Adverse Weight and Metabolic Status – The HUNT Study. PloS one, 10(10), e0139632.
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Kvehaugen, A. S., Melien, O., Holmen, O. L., Laivuori, H., Dechend, R., & Staff, A. C. (2014). Hypertension after preeclampsia and relation to the C1114G polymorphism (rs4606) in RGS2: data from the Norwegian HUNT2 study. BMC Med Genet, 15, 28.
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Kvehaugen, A. S., Melien, O., Holmen, O. L., Laivuori, H., Oian, P., Andersgaard, A. B., et al. (2013). Single nucleotide polymorphisms in G protein signaling pathway genes in preeclampsia. Hypertension, 61(3), 655–661.
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Kvestad, E., Czajkowski, N., Krog, N. H., Engdahl, B., & Tambs, K. (2012). Heritability of hearing loss. Epidemiology, 23(2), 328–331.
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Lange, L. A., Hu, Y., Zhang, H., Xue, C., Schmidt, E. M., Tang, Z. - Z., et al. (2014). Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol. Am J Hum Genet, 94(2), 233–245.
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