Genome-wide homozygosity and risk of four non-Hodgkin lymphoma subtypes.

Amy Moore, Mitchell J Machiela, Moara Machado, Sophia S Wang, Eleanor Kane, Susan L Slager, Weiyin Zhou, Mary Carrington, Qing Lan, Roger L Milne, Brenda M Birmann, Hans-Olov Adami, Demetrius Albanes, Alan A Arslan, Nikolaus Becker, Yolanda Benavente, Simonetta Bisanzi, Paolo Boffetta, Paige M Bracci, Paul Brennan, Angela R Brooks-Wilson, Federico Canzian, Neil Caporaso, Jacqueline Clavel, Pierluigi Cocco, Lucia Conde, David G Cox, Wendy Cozen, Karen Curtin, Immaculata De Vivo, Silvia de Sanjose, Lenka Foretova, Susan M Gapstur, Hervè Ghesquières, Graham G Giles, Martha Glenn, Bengt Glimelius, Chi Gao, Thomas M Habermann, Henrik Hjalgrim, Rebecca D Jackson, Mark Liebow, Brian K Link, Marc Maynadie, James McKay, Mads Melbye, Lucia Miligi, Thierry J Molina, Alain Monnereau, Alexandra Nieters, Kari E North, Kenneth Offit, Alpa V Patel, Sara Piro, Vignesh Ravichandran, Elio Riboli, Gilles Salles, Richard K Severson, Christine F Skibola, Karin E Smedby, Melissa C Southey, John J Spinelli, Anthony Staines, Carolyn Stewart, Lauren R Teras, Lesley F Tinker, Ruth C Travis, Claire M Vajdic, Roel C H Vermeulen, Joseph Vijai, Elisabete Weiderpass, Stephanie Weinstein, Nicole Wong Doo, Yawei Zhang, Tongzhang Zheng, Stephen J Chanock, Nathaniel Rothman, James R Cerhan, Michael Dean, Nicola J Camp, Meredith Yeager, Sonja I Berndt
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引用次数: 0

Abstract

Aim: 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.

Abstract Image

四种非霍奇金淋巴瘤亚型的全基因组纯合性和风险。
目的:隐性遗传变异被认为在非霍奇金淋巴瘤(NHL)病因中起作用。纯合性(ROH)是基于纯合SNPs的长、连续片段定义的,可用于估计测量和未测量的隐性遗传变异。我们试图检测全基因组纯合性和NHL风险。方法:我们使用了来自四种常见NHL亚型的八项全基因组关联研究的数据:3061例慢性淋巴细胞白血病(CLL)、3814例弥漫性大B细胞淋巴瘤(DLBCL)、2784例滤泡性淋巴瘤(FL)和808例边缘区淋巴瘤(MZL)病例,以及9374例对照。我们通过以下方法检测了纯合变异对风险的影响:(1)估计含有纯合性(FROH)的常染色体的比例;(2) 计算从合并配子之间的相关性导出的近亲繁殖系数(F3);和(3)检测含有ROH的特异性常染色体区域。对于每种情况,我们使用逻辑回归和使用随机效应荟萃分析的研究组合估计来计算β系数和标准误差。结果:我们发现FROH和CLL(β=21.1,SE=4.41,P=1.6×10-6)与FL(β=11.4,SE=5.82,P=0.02)之间存在正相关,但DLBCL(P=1.0)或MZL(P=0.91)除外。对于F3,我们观察到与CLL相关(β=27.5,SE=6.51,P=2.4×10-5)。我们没有发现与特定ROH相关的证据,这表明用FROH和F3观察到的CLL和FL风险的相关性不是由单一的纯合性区域驱动的。结论:我们的研究结果支持隐性遗传变异在CLL和FL病因中的作用;需要更多的研究来确定与NHL风险相关的特定基因座。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.70
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