Incorporating genetic factors into risk models improves the prediction of severe obesity for survivors of childhood cancer, which could promote early interventions and better long-term care.
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References
Miller, K. D. et al. Cancer J. Clin. https://doi.org/10.3322/caac.21731 (2022).
Lipshultz, S. E. et al. Circulation 128, 1927–1995 (2013).
Armstrong, G. T. et al. J. Clin. Oncol. 31, 3673–3680 (2013).
Wilson, C. L. et al. Cancer 121, 2262–2270 (2015).
Browne, E. K. et al. Cancer 124, 4248–4259 (2018).
Sapkota, Y. Nat. Med. https://doi.org/10.1038/s41591-022-01902-3 (2022).
Turcot, V. et al. Nat. Genet. 50, 26–41 (2018). erratum 51, 1191–1192 (2019).
Khera, A. V. et al. Cell 177, 587–596.e9 (2019).
Children’s Oncology Group. Long-Term Follow-Up Guidelines for Survivors of Childhood, Adolescent, and Young Adult Cancers v5.0 (2018).
Chow, E. J. et al. J. Clin. Oncol. 36, 44–52 (2018).
Chow, E. J. et al. J. Clin. Oncol. 33, 394–402 (2015).
Clark, R. A. et al. Lancet Oncol. 21, 436–45 (2020).
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Vrooman, L.M., Diller, L.R. Predicting chronic morbidity in childhood cancer survivors. Nat Med 28, 1539–1540 (2022). https://doi.org/10.1038/s41591-022-01943-8
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DOI: https://doi.org/10.1038/s41591-022-01943-8
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