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":"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","authors":"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","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":"{\"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, 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\",\"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. 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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}","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}
Breast and bowel cancers diagnosed in people ‘too young to have cancer’: A blueprint for research using family and twin studies
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.
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.