Suppr超能文献

父母年龄与易患神经系统肿瘤的遗传综合征风险:巢式病例对照研究。

Parental age and risk of genetic syndromes predisposing to nervous system tumors: nested case-control study.

作者信息

Adel Fahmideh Maral, Tettamanti Giorgio, Lavebratt Catharina, Talbäck Mats, Mathiesen Tiit, Lannering Birgitta, Johnson Kimberly J, Feychting Maria

机构信息

Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.

Neurogenetics Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.

出版信息

Clin Epidemiol. 2018 Jun 20;10:729-738. doi: 10.2147/CLEP.S159183. eCollection 2018.

Abstract

PURPOSE

Phacomatoses are genetic syndromes that are associated with increased risk of developing nervous system tumors. Phacomatoses are usually inherited, but many develop de novo, with unknown etiology. In this population-based study, we investigated the effect of parental age on the risk of phacomatoses in offspring.

PATIENTS AND METHODS

The study was a population-based nested case-control study. All individuals born and residing in Sweden between January 1960 and December 2010 were eligible for inclusion. Using the Patient Register, 4625 phacomatosis cases were identified and further classified as familial or nonfamilial. Ten matched controls per case were randomly selected from the eligible population. Data were analyzed using conditional logistic regression. Analyses were conducted for neurofibromatosis alone (n=2089) and other phacomatoses combined (n=2536).

RESULTS

Compared with offspring of fathers aged 25-29 years, increased risk estimates of nonfamilial neurofibromatosis were found for offspring of fathers aged 35-39 years (odds ratio [OR]=1.43 [95% CI 1.16-1.74]) and ≥40 years (OR =1.74 [95% CI 1.38-2.19]). For other nonfamilial phacomatoses, the risk estimate for offspring of fathers aged ≥40 years was OR =1.23 (95% CI 1.01-1.50). Paternal age was not associated with familial phacomatoses, and no consistent association was observed with maternal age.

CONCLUSION

The findings show a consistent increase in risk of de novo occurrence of phacomatoses predisposing to nervous system tumors in offspring with increasing paternal age, most pronounced for neurofibromatosis, while maternal age did not seem to influence the risk. These findings suggest an increasing rate of new mutations in the and genes in spermatozoa of older fathers.

摘要

目的

错构瘤病是一种与发生神经系统肿瘤风险增加相关的遗传性综合征。错构瘤病通常是遗传性的,但许多是新发的,病因不明。在这项基于人群的研究中,我们调查了父母年龄对后代患错构瘤病风险的影响。

患者与方法

该研究是一项基于人群的巢式病例对照研究。1960年1月至2010年12月期间在瑞典出生并居住的所有个体均符合纳入条件。利用患者登记册,确定了4625例错构瘤病病例,并进一步分为家族性或非家族性。从符合条件的人群中为每个病例随机选择10名匹配对照。使用条件逻辑回归分析数据。分别对单独的神经纤维瘤病(n = 2089)和其他错构瘤病合并情况(n = 2536)进行分析。

结果

与父亲年龄在25 - 29岁的后代相比,父亲年龄在35 - 39岁(优势比[OR]=1.43 [95%可信区间1.16 - 1.74])和≥40岁(OR = 1.74 [95%可信区间1.38 - 2.19])的后代患非家族性神经纤维瘤病的风险估计增加。对于其他非家族性错构瘤病,父亲年龄≥40岁的后代风险估计为OR = 1.23(95%可信区间1.01 - 1.50)。父亲年龄与家族性错构瘤病无关,且未观察到与母亲年龄有一致的关联。

结论

研究结果表明,随着父亲年龄的增加,后代新发易患神经系统肿瘤的错构瘤病的风险持续增加,神经纤维瘤病最为明显,而母亲年龄似乎不影响风险。这些发现提示老年男性精子中 和 基因的新突变率增加。

相似文献

3
Ante-natal counseling in phacomatoses.母斑病的产前咨询
Childs Nerv Syst. 2020 Oct;36(10):2269-2277. doi: 10.1007/s00381-020-04776-3. Epub 2020 Jul 5.
4
Advancing paternal age and bipolar disorder.父亲年龄增长与双相情感障碍
Arch Gen Psychiatry. 2008 Sep;65(9):1034-40. doi: 10.1001/archpsyc.65.9.1034.

本文引用的文献

1
Neurofibromatosis: A Review of NF1, NF2, and Schwannomatosis.神经纤维瘤病:NF1、NF2和神经鞘瘤病综述
J Pediatr Genet. 2016 Jun;5(2):98-104. doi: 10.1055/s-0036-1579766. Epub 2016 Mar 9.
4
Recent developments in brain tumor predisposing syndromes.脑肿瘤易感综合征的最新进展。
Acta Oncol. 2016;55(4):401-11. doi: 10.3109/0284186X.2015.1107190. Epub 2015 Dec 3.
6
Childhood brain tumor epidemiology: a brain tumor epidemiology consortium review.儿童脑肿瘤流行病学:脑肿瘤流行病学联盟综述
Cancer Epidemiol Biomarkers Prev. 2014 Dec;23(12):2716-36. doi: 10.1158/1055-9965.EPI-14-0207. Epub 2014 Sep 5.
8
The effects of advanced paternal age on fertility.父亲高龄对生育能力的影响。
Asian J Androl. 2013 Nov;15(6):723-8. doi: 10.1038/aja.2013.92. Epub 2013 Aug 5.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验