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E Zeggini

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E
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Zeggini
, Lu, Y. ., Highland, H. ., Schürmann, C. ., Justice, A. ., Fine, R. ., … Scientific, G. U. S. (2018). Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nature Genetics, 50(5), 766-767. https://doi.org/10.1038/s41588-018-0082-3
, Lu, Y. ., Highland, H. ., Schürmann, C. ., Justice, A. ., Fine, R. ., … Scientific, G. U. S. (2018). Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nature Genetics, 50(5), 765-766. https://doi.org/10.1038/s41588-018-0050-y
, Lu, Y. ., Highland, H. ., Schürmann, C. ., Justice, A. ., Fine, R. ., … Scientific, G. U. S. (2018). Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nature Genetics, 50(1), 26-41. https://doi.org/10.1038/s41588-017-0011-x
Marouli, E. ., Graff, M. ., Medina-Gomez, C. ., Lo, K. ., Wood, A. ., Kjaer, T. ., … Lettre, G. . (2017). Rare and low-frequency coding variants alter human adult height. Nature, 542(7640), 186-190. https://doi.org/10.1038/nature21039 (Original work published 2017)
Huckins, L. ., Hatzikotoulas, K. ., Southam, L. ., Thornton, L. ., Steinberg, J. ., Aguilera-McKay, F. ., … Zeggini, E. . (2018). Correction: Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Molecular Psychiatry, 23(9), 1969. https://doi.org/10.1038/mp.2017.202
Watson, H. ., Yilmaz, Z. ., Thornton, L. ., Hübel, C. ., Coleman, J. ., Gaspar, H. ., … Bulik, C. . (2019). Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa. Nature Genetics, 51(8), 1207-1214. https://doi.org/10.1038/s41588-019-0439-2
Munn-Chernoff, M. ., Johnson, E. ., Chou, Y. ., Coleman, J. ., Thornton, L. ., Walters, R. ., … Agrawal, A. . (2020). Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies. Addiction Biology, e12880. https://doi.org/10.1111/adb.12880 (Original work published 2020)