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

Autor:	Hopper JL; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia., Li S; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.; Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia., MacInnis RJ; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia., Dowty JG; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia., Nguyen TL; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia., Bui M; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia., Dite GS; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.; Genetic Technologies Ltd., Fitzroy, Victoria, Australia., Esser VFC; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia., Ye Z; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia., Makalic E; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia., Schmidt DF; Department of Data Science and AI, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia., Goudey B; ARC Training Centre in Cognitive Computing for Medical Technologies, University of Melbourne, Carlton, Victoria, Australia.; The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia., Alpen K; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia., Kapuscinski M; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia., Win AK; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne, Victoria, Australia.; Genetic Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia., Dugué PA; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia., Milne RL; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia., Jayasekara H; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia., Brooks JD; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada., Malta S; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia., Calais-Ferreira L; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia., Campbell AC; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.; Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia., Young JT; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.; Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.; Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia.; School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia.; Justice Health Group, Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia., Nguyen-Dumont T; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia., Sung J; Department of Public Health Sciences, Division of Genome and Health Big Data, Graduate School of Public Health, Seoul National University, Seoul, South Korea.; Genome Medicine Institute, Seoul National University, Seoul, South Korea.; Institute of Health and Environment, Seoul National University, Seoul, South Korea., Giles GG; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia., Buchanan D; Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia., Winship I; Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia., Terry MB; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA., Southey MC; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.; Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia., Jenkins MA; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne, Victoria, Australia.
Jazyk:	angličtina
Zdroj:	Genetic epidemiology [Genet Epidemiol] 2024 Mar 19. Date of Electronic Publication: 2024 Mar 19.
DOI:	10.1002/gepi.22555
Abstrakt:	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. (© 2024 The Authors. Genetic Epidemiology published by Wiley Periodicals LLC.)
Databáze:	MEDLINE
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