Breast and bowel cancers diagnosed in people ‘too young to have cancer’: A blueprint for research using family and twin studies

IF 1.7 4区 医学 Q3 GENETICS & HEREDITY
John L. Hopper, Shuai Li, Robert J. MacInnis, James G. Dowty, Tuong L. Nguyen, Minh Bui, Gillian S. Dite, Vivienne F. C. Esser, Zhoufeng Ye, Enes Makalic, Daniel F. Schmidt, Benjamin Goudey, Karen Alpen, Miroslaw Kapuscinski, Aung Ko Win, Pierre-Antoine Dugué, Roger L. Milne, Harindra Jayasekara, Jennifer D. Brooks, Sue Malta, Lucas Calais-Ferreira, Alexander C. Campbell, Jesse T. Young, Tu Nguyen-Dumont, Joohon Sung, Graham G. Giles, Daniel Buchanan, Ingrid Winship, Mary Beth Terry, Melissa C. Southey, Mark A. Jenkins
{"title":"Breast and bowel cancers diagnosed in people ‘too young to have cancer’: A blueprint for research using family and twin studies","authors":"John L. Hopper,&nbsp;Shuai Li,&nbsp;Robert J. MacInnis,&nbsp;James G. Dowty,&nbsp;Tuong L. Nguyen,&nbsp;Minh Bui,&nbsp;Gillian S. Dite,&nbsp;Vivienne F. C. Esser,&nbsp;Zhoufeng Ye,&nbsp;Enes Makalic,&nbsp;Daniel F. Schmidt,&nbsp;Benjamin Goudey,&nbsp;Karen Alpen,&nbsp;Miroslaw Kapuscinski,&nbsp;Aung Ko Win,&nbsp;Pierre-Antoine Dugué,&nbsp;Roger L. Milne,&nbsp;Harindra Jayasekara,&nbsp;Jennifer D. Brooks,&nbsp;Sue Malta,&nbsp;Lucas Calais-Ferreira,&nbsp;Alexander C. Campbell,&nbsp;Jesse T. Young,&nbsp;Tu Nguyen-Dumont,&nbsp;Joohon Sung,&nbsp;Graham G. Giles,&nbsp;Daniel Buchanan,&nbsp;Ingrid Winship,&nbsp;Mary Beth Terry,&nbsp;Melissa C. Southey,&nbsp;Mark A. Jenkins","doi":"10.1002/gepi.22555","DOIUrl":null,"url":null,"abstract":"<p>Young breast and bowel cancers (e.g., those diagnosed before age 40 or 50 years) have far greater morbidity and mortality in terms of years of life lost, and are increasing in incidence, but have been less studied. For breast and bowel cancers, the familial relative risks, and therefore the familial variances in age-specific log(incidence), are much greater at younger ages, but little of these familial variances has been explained. Studies of families and twins can address questions not easily answered by studies of unrelated individuals alone. We describe existing and emerging family and twin data that can provide special opportunities for discovery. We present designs and statistical analyses, including novel ideas such as the VALID (Variance in Age-specific Log Incidence Decomposition) model for causes of variation in risk, the DEPTH (DEPendency of association on the number of Top Hits) and other approaches to analyse genome-wide association study data, and the within-pair, ICE FALCON (Inference about Causation from Examining FAmiliaL CONfounding) and ICE CRISTAL (Inference about Causation from Examining Changes in Regression coefficients and Innovative STatistical AnaLysis) approaches to causation and familial confounding. Example applications to breast and colorectal cancer are presented. Motivated by the availability of the resources of the Breast and Colon Cancer Family Registries, we also present some ideas for future studies that could be applied to, and compared with, cancers diagnosed at older ages and address the challenges posed by young breast and bowel cancers.</p>","PeriodicalId":12710,"journal":{"name":"Genetic Epidemiology","volume":"48 8","pages":"433-447"},"PeriodicalIF":1.7000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gepi.22555","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetic Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/gepi.22555","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

Abstract

Young breast and bowel cancers (e.g., those diagnosed before age 40 or 50 years) have far greater morbidity and mortality in terms of years of life lost, and are increasing in incidence, but have been less studied. For breast and bowel cancers, the familial relative risks, and therefore the familial variances in age-specific log(incidence), are much greater at younger ages, but little of these familial variances has been explained. Studies of families and twins can address questions not easily answered by studies of unrelated individuals alone. We describe existing and emerging family and twin data that can provide special opportunities for discovery. We present designs and statistical analyses, including novel ideas such as the VALID (Variance in Age-specific Log Incidence Decomposition) model for causes of variation in risk, the DEPTH (DEPendency of association on the number of Top Hits) and other approaches to analyse genome-wide association study data, and the within-pair, ICE FALCON (Inference about Causation from Examining FAmiliaL CONfounding) and ICE CRISTAL (Inference about Causation from Examining Changes in Regression coefficients and Innovative STatistical AnaLysis) approaches to causation and familial confounding. Example applications to breast and colorectal cancer are presented. Motivated by the availability of the resources of the Breast and Colon Cancer Family Registries, we also present some ideas for future studies that could be applied to, and compared with, cancers diagnosed at older ages and address the challenges posed by young breast and bowel cancers.

Abstract Image

太年轻就患癌 "的人被诊断出乳腺癌和肠癌:利用家族和双胞胎研究的研究蓝图
年轻的乳腺癌和肠癌(如在 40 岁或 50 岁之前确诊的癌症)的发病率和死亡率(以损失的生命年数计算)要高得多,而且发病率在不断上升,但对其的研究却较少。就乳腺癌和肠癌而言,家族相对风险以及年龄特异性对数(发病率)的家族差异在年轻时要大得多,但这些家族差异很少得到解释。对家族和双胞胎的研究可以解决仅对无亲属关系的个体进行研究难以回答的问题。我们介绍了现有的和新出现的家族和双胞胎数据,这些数据可以提供特殊的发现机会。我们介绍了各种设计和统计分析方法,包括一些新颖的想法,如用于分析风险变异原因的 VALID(年龄特异性对数发病率分解方差)模型、DEPTH(关联性对最高点击数的影响)和其他分析全基因组关联研究数据的方法、以及对内、ICE FALCON(通过检测家族混杂推断因果关系)和 ICE CRISTAL(通过检测回归系数变化和创新统计分析推断因果关系)方法来分析因果关系和家族混杂。介绍了乳腺癌和结直肠癌的应用实例。在乳腺癌和结肠癌家族登记资源的推动下,我们还提出了一些关于未来研究的想法,这些研究可以应用于年龄较大的癌症并与之进行比较,还可以应对年轻乳腺癌和肠癌带来的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Genetic Epidemiology
Genetic Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.40
自引率
9.50%
发文量
49
审稿时长
6-12 weeks
期刊介绍: Genetic Epidemiology is a peer-reviewed journal for discussion of research on the genetic causes of the distribution of human traits in families and populations. Emphasis is placed on the relative contribution of genetic and environmental factors to human disease as revealed by genetic, epidemiological, and biologic investigations. Genetic Epidemiology primarily publishes papers in statistical genetics, a research field that is primarily concerned with development of statistical, bioinformatical, and computational models for analyzing genetic data. Incorporation of underlying biology and population genetics into conceptual models is favored. The Journal seeks original articles comprising either applied research or innovative statistical, mathematical, computational, or genomic methodologies that advance studies in genetic epidemiology. Other types of reports are encouraged, such as letters to the editor, topic reviews, and perspectives from other fields of research that will likely enrich the field of genetic epidemiology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信