Medicine (RMH) - Research Publications

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    Breast and bowel cancers diagnosed in people 'too young to have cancer': A blueprint for research using family and twin studies
    Hopper, JL ; Li, S ; MacInnis, RJ ; Dowty, JG ; Nguyen, TL ; Bui, M ; Dite, GS ; Esser, VFC ; Ye, Z ; Makalic, E ; Schmidt, DF ; Goudey, B ; Alpen, K ; Kapuscinski, M ; Win, AK ; Dugue, P-A ; Milne, RL ; Jayasekara, H ; Brooks, JD ; Malta, S ; Calais-Ferreira, L ; Campbell, AC ; Young, JT ; Nguyen-Dumont, T ; Sung, J ; Giles, GG ; Buchanan, D ; Winship, I ; Terry, MB ; Southey, MC ; Jenkins, MA (WILEY, 2024-03-19)
    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.
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    Morphological predictors of BRCA1 germline mutations in young women with breast cancer
    Southey, MC ; Ramus, SJ ; Dowty, JG ; Smith, LD ; Tesoriero, AA ; Wong, EEM ; Dite, GS ; Jenkins, MA ; Byrnes, GB ; Winship, I ; Phillips, K-A ; Giles, GG ; Hopper, JL (NATURE PUBLISHING GROUP, 2011-03-15)
    BACKGROUND: Knowing a young woman with newly diagnosed breast cancer has a germline BRCA1 mutation informs her clinical management and that of her relatives. We sought an optimal strategy for identifying carriers using family history, breast cancer morphology and hormone receptor status data. METHODS: We studied a population-based sample of 452 Australian women with invasive breast cancer diagnosed before age 40 years for whom we conducted extensive germline mutation testing (29 carried a BRCA1 mutation) and a systematic pathology review, and collected three-generational family history and tumour ER and PR status. Predictors of mutation status were identified using multiple logistic regression. Areas under receiver operator characteristic (ROC) curves were estimated using five-fold stratified cross-validation. RESULTS: The probability of being a BRCA1 mutation carrier increased with number of selected histology features even after adjusting for family history and ER and PR status (P<0.0001). From the most parsimonious multivariate model, the odds ratio for being a carrier were: 9.7 (95% confidence interval: 2.6-47.0) for trabecular growth pattern (P=0.001); 7.8 (2.7-25.7) for mitotic index over 50 mitoses per 10 high-powered field (P=0.0003); and 2.7 (1.3-5.9) for each first-degree relative with breast cancer diagnosed before age 60 years (P=0.01).The area under the ROC curve was 0.87 (0.83-0.90). CONCLUSION: Pathology review, with attention to a few specific morphological features of invasive breast cancers, can identify almost all BRCA1 germline mutation carriers among women with early-onset breast cancer without taking into account family history.
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    Heritable DNA methylation marks associated with susceptibility to breast cancer
    Joo, JE ; Dowty, JG ; Milne, RL ; Wong, EM ; Dugue, P-A ; English, D ; Hopper, JL ; Goldgar, DE ; Giles, GG ; Southey, MC (NATURE PUBLISHING GROUP, 2018-02-28)
    Mendelian-like inheritance of germline DNA methylation in cancer susceptibility genes has been previously reported. We aimed to scan the genome for heritable methylation marks associated with breast cancer susceptibility by studying 25 Australian multiple-case breast cancer families. Here we report genome-wide DNA methylation measured in 210 peripheral blood DNA samples provided by family members using the Infinium HumanMethylation450. We develop and apply a new statistical method to identify heritable methylation marks based on complex segregation analysis. We estimate carrier probabilities for the 1000 most heritable methylation marks based on family structure, and we use Cox proportional hazards survival analysis to identify 24 methylation marks with corresponding carrier probabilities significantly associated with breast cancer. We replicate an association with breast cancer risk for four of the 24 marks using an independent nested case-control study. Here, we report a novel approach for identifying heritable DNA methylation marks associated with breast cancer risk.
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    Are the common genetic variants associated with colorectal cancer risk for DNA mismatch repair gene mutation carriers?
    Win, AK ; Hopper, JL ; Buchanan, DD ; Young, JP ; Tenesa, A ; Dowty, JG ; Giles, GG ; Goldblatt, J ; Winship, I ; Boussioutas, A ; Young, GP ; Parry, S ; Baron, JA ; Duggan, D ; Gallinger, S ; Newcomb, PA ; Haile, RW ; Le Marchand, L ; Lindor, NM ; Jenkins, MA (ELSEVIER SCI LTD, 2013-05)
    BACKGROUND: Genome-wide association studies have identified at least 15 independent common genetic variants associated with colorectal cancer (CRC) risk. The aim of this study was to investigate whether 11 of these variants are associated with CRC risk for carriers of germline mutations in DNA mismatch repair (MMR) genes. METHODS: A total of 927 MMR gene mutation carriers (360 MLH1, 442 MSH2, 85 MSH6 and 40 PMS2) from 315 families enrolled in the Colon Cancer Family Registry, were genotyped for the single nucleotide polymorphisms (SNPs): rs16892766 (8q23.3), rs6983267 (8q24.21), rs719725 (9p24), rs10795668 (10p14), rs3802842 (11q23.1), rs4444235 (14q22.2), rs4779584 (15q13.3), rs9929218 (16q22.1), rs4939827 (18q21.1), rs10411210 (19q13.1) and rs961253 (20p12.3). We used a weighted Cox regression to estimate CRC risk for homozygous and heterozygous carriers of the risk allele compared with homozygous non-carriers as well as for an additive per allele model (on the log scale). RESULTS: Over a total of 40,978 person-years observation, 426 (46%) carriers were diagnosed with CRC at a mean age of 44.3 years. For all carriers combined, we found no evidence of an association between CRC risk and the total number of risk alleles (hazard ratio [HR] per risk allele=0.97, 95% confidence interval [CI]=0.88-1.07, p=0.52). CONCLUSIONS: We found no evidence that the SNPs associated with CRC in the general population are modifiers of the risk for MMR gene mutation carriers overall, and therefore any evidence of proven clinical utility in Lynch syndrome.
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    Risk of Colorectal Cancer for Carriers of Mutations in MUTYH, With and Without a Family History of Cancer
    Win, AK ; Dowty, JG ; Cleary, SP ; Kim, H ; Buchanan, DD ; Young, JP ; Clendenning, M ; Rosty, C ; MacInnis, RJ ; Giles, GG ; Boussioutas, A ; Macrae, FA ; Parry, S ; Goldblatt, J ; Baron, JA ; Burnett, T ; Le Marchand, L ; Newcomb, PA ; Haile, RW ; Hopper, JL ; Cotterchio, M ; Gallinger, S ; Lindor, NM ; Tucker, KM ; Winship, IM ; Jenkins, MA (W B SAUNDERS CO-ELSEVIER INC, 2014-05)
    We studied 2332 individuals with monoallelic mutations in MUTYH among 9504 relatives of 264 colorectal cancer (CRC) cases with a MUTYH mutation. We estimated CRC risks through 70 years of age of 7.2% for male carriers of monoallelic mutations (95% confidence interval [CI], 4.6%-11.3%) and 5.6% for female carriers of monoallelic mutations (95% CI, 3.6%-8.8%), irrespective of family history. For monoallelic MUTYH mutation carriers with a first-degree relative with CRC diagnosed by 50 years of age who does not have the MUTYH mutation, risks of CRC were 12.5% for men (95% CI, 8.6%-17.7%) and 10% for women (95% CI, 6.7%-14.4%). Risks of CRC for carriers of monoallelic mutations in MUTYH with a first-degree relative with CRC are sufficiently high to warrant more intensive screening than for the general population.