4. |
- Moore, Amy, et al.
(author)
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Genetically Determined Height and Risk of Non-hodgkin Lymphoma
- 2020
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In: Frontiers in Oncology. - : FRONTIERS MEDIA SA. - 2234-943X. ; 9
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Journal article (peer-reviewed)abstract
- Although the evidence is not consistent, epidemiologic studies have suggested that taller adult height may be associated with an increased risk of some non-Hodgkin lymphoma (NHL) subtypes. Height is largely determined by genetic factors, but how these genetic factors may contribute to NHL risk is unknown. We investigated the relationship between genetic determinants of height and NHL risk using data from eight genome-wide association studies (GWAS) comprising 10,629 NHL cases, including 3,857 diffuse large B-cell lymphoma (DLBCL), 2,847 follicular lymphoma (FL), 3,100 chronic lymphocytic leukemia (CLL), and 825 marginal zone lymphoma (MZL) cases, and 9,505 controls of European ancestry. We evaluated genetically predicted height by constructing polygenic risk scores using 833 height-associated SNPs. We used logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for association between genetically determined height and the risk of four NHL subtypes in each GWAS and then used fixed-effect meta-analysis to combine subtype results across studies. We found suggestive evidence between taller genetically determined height and increased CLL risk (OR = 1.08, 95% CI = 1.00-1.17, p = 0.049), which was slightly stronger among women (OR = 1.15, 95% CI: 1.01-1.31, p = 0.036). No significant associations were observed with DLBCL, FL, or MZL. Our findings suggest that there may be some shared genetic factors between CLL and height, but other endogenous or environmental factors may underlie reported epidemiologic height associations with other subtypes.
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5. |
- Dixon, Stephanie B., et al.
(author)
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The Future of Childhood Cancer Survivorship : Challenges and Opportunities for Continued Progress
- 2020
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In: Pediatric Clinics of North America. - : Elsevier BV. - 0031-3955. ; 67:6, s. 1237-1251
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Research review (peer-reviewed)abstract
- As treatment evolves and the population who survive childhood cancer ages and increases in number, researchers must use novel approaches to prevent, identify and mitigate adverse effects of treatment. Future priorities include collaborative efforts to pool large cohort data to improve detection of late effects, identify late effects of novel therapies, and determine the contribution of genetic factors along with physiologic and accelerated aging among survivors. This knowledge should translate to individual risk prediction and prevention strategies. Finally, we must utilize health services research and implementation science to improve adoption of survivorship care recommendations outside of specialized pediatric oncology centers.
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