0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessAim: Recessive genetic variation is thought to play a role in non-Hodgkin lymphoma (NHL) etiology. Runs of homozygosity (ROH), defined based on long, continuous segments of homozygous SNPs, can be used to estimate both measured and unmeasured recessive genetic variation. We sought to examine genome-wide homozygosity and NHL risk. Methods: We used data from eight genome-wide association studies of four common NHL subtypes: 3061 chronic lymphocytic leukemia (CLL), 3814 diffuse large B-cell lymphoma (DLBCL), 2784 follicular lymphoma (FL), and 808 marginal zone lymphoma (MZL) cases, as well as 9374 controls. We examined the effect of homozygous variation on risk by: (1) estimating the fraction of the autosome containing runs of homozygosity (FROH); (2) calculating an inbreeding coefficient derived from the correlation among uniting gametes (F3); and (3) examining specific autosomal regions containing ROH. For each, we calculated beta coefficients and standard errors using logistic regression and combined estimates across studies using random-effects meta-analysis. Results: We discovered positive associations between FROH and CLL (β = 21.1, SE = 4.41, P = 1.6 × 10-6) and FL (β = 11.4, SE = 5.82, P = 0.02) but not DLBCL (P = 1.0) or MZL (P = 0.91). For F3, we observed an association with CLL (β = 27.5, SE = 6.51, P = 2.4 × 10-5). We did not find evidence of associations with specific ROH, suggesting that the associations observed with FROH and F3 for CLL and FL risk were not driven by a single region of homozygosity. Conclusion: Our findings support the role of recessive genetic variation in the etiology of CLL and FL; additional research is needed to identify the specific loci associated with NHL risk.
Immaculata De Vivo, Sílvia de Sanjosé, Ruth C. Travis, Paul Brennan, Michael Dean, Weiyin Zhou, Mark Liebow, Qing Lan, Elisabete Weiderpass, Roel Vermeulen, Melissa C. Southey, María-José Machado, Alain Monnereau, Mads Melbye, Susan L. Slager, Susan M. Gapstur, S.J. Chanock, Nicola J. Camp, R.D. Jackson, Henrik Hjalgrim, Aakash V. Patel, Sonja I. Berndt, Karin E. Smedby, Kenneth Offit, Eleanor Kane, Alan A. Arslan, Joseph Vijai, Angela Brooks‐Wilson, Jacqueline Clavel, Thierry Jo Molina, Karen Curtin, Neil E. Caporaso, David G. Cox, W. Cozen, Mitchell J. Machiela, Simonetta Bisanzi, S. Weinstein, Hervé Ghesquières, Gilles Salles, Sophia Wang, Demetrius Albanes, Lucía Conde, Meredith Yeager, Amy Moore, K.E. North, Chi Gao, Bengt Glimelius, Yolanda Benavente, Federico Canzian, Claire M. Vajdic, Graham G. Giles, Marc Maynadié, Lucia Miligi, Brian K. Link, Nicole Wong Doo, Mary Carrington, C. Stewart, John J. Spinelli, R K Severson, P. Boffetta, James McKay, Nils B. Becker, Hans‐Olov Adami, Y. Zhang, Anthony Staines, Nathanial Rothman, Elio Riboli, Ravichandran Veerasamy, Brenda M. Birmann, Sara Piro, C.F. Skibola, Martha Glenn, A. Nieters, Tongzhang Zheng, Thomas M. Habermann, Roger L. Milne, L.F. Tinker, Paige M. Bracci, Lauren R. Teras, James R. Cerhan, Pierluigi Cocco, Lenka Foretová (2024). Genome-wide homozygosity and risk of four non-Hodgkin lymphoma subtypes. , DOI: https://doi.org/10.17615/e1wv-7413.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2024
Authors
82
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.17615/e1wv-7413
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access