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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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    Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival
    Morra, A ; Schreurs, MAC ; Andrulis, IL ; Anton-Culver, H ; Augustinsson, A ; Beckmann, MW ; Behrens, S ; Bojesen, SE ; Bolla, MK ; Brauch, H ; Broeks, A ; Buys, SS ; Camp, NJ ; Castelao, JE ; Cessna, MH ; Chang-Claude, J ; Chung, WK ; Colonna, S ; Couch, FJ ; Cox, A ; Cross, SS ; Czene, K ; Daly, MB ; Dennis, J ; Devilee, P ; Doerk, T ; Dunning, AM ; Dwek, M ; Easton, DF ; Eccles, DM ; Eriksson, M ; Evans, DG ; Fasching, PA ; Fehm, TN ; Figueroa, JD ; Flyger, H ; Gabrielson, M ; Gago-Dominguez, M ; Garcia-Closas, M ; Garcia-Saenz, JA ; Genkinger, JA ; Grassmann, F ; Guendert, M ; Hahnen, E ; Haiman, C ; Hamann, U ; Harrington, PA ; Hartikainen, JM ; Hoppe, R ; Hopper, JL ; Houlston, RS ; Howell, A ; Jakubowska, A ; Janni, W ; Jernstroem, H ; John, EM ; Johnson, N ; Jones, ME ; Kristensen, VN ; Kurian, AW ; Lambrechts, D ; Le Marchand, L ; Lindblom, A ; Lubinski, J ; Lux, MP ; Mannermaa, A ; Mavroudis, D ; Mulligan, AM ; Muranen, TA ; Nevanlinna, H ; Nevelsteen, I ; Neven, P ; Newman, WG ; Obi, N ; Offit, K ; Olshan, AF ; Park-Simon, T-W ; Patel, A ; Peterlongo, P ; Phillips, K-A ; Plaseska-Karanfilska, D ; Polley, EC ; Presneau, N ; Pylkas, K ; Rack, B ; Radice, P ; Rashid, MU ; Rhenius, V ; Robson, M ; Romero, A ; Saloustros, E ; Sawyer, EJ ; Schmutzler, RK ; Schuetze, S ; Scott, C ; Shah, MT ; Smichkoska, S ; Southey, MC ; Tapper, WJ ; Teras, LR ; Tollenaar, RAEM ; Tomczyk, K ; Tomlinson, I ; Troester, M ; Vachon, C ; van Veen, E ; Wang, Q ; Wendt, C ; Wildiers, H ; Winqvist, RA ; Ziogas, A ; Hall, P ; Pharoah, PDP ; Adank, M ; Hollestelle, A ; Schmidt, MK ; Hooning, MJ (WILEY, 2023-08)
    BACKGROUND: Breast cancer (BC) patients with a germline CHEK2 c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC-specific survival (BCSS) compared to non-carriers. AIM: To assessed the associations of CHEK2 c.1100delC, radiotherapy, and systemic treatment with CBC risk and BCSS. METHODS: Analyses were based on 82,701 women diagnosed with a first primary invasive BC including 963 CHEK2 c.1100delC carriers; median follow-up was 9.1 years. Differential associations with treatment by CHEK2 c.1100delC status were tested by including interaction terms in a multivariable Cox regression model. A multi-state model was used for further insight into the relation between CHEK2 c.1100delC status, treatment, CBC risk and death. RESULTS: There was no evidence for differential associations of therapy with CBC risk by CHEK2 c.1100delC status. The strongest association with reduced CBC risk was observed for the combination of chemotherapy and endocrine therapy [HR (95% CI): 0.66 (0.55-0.78)]. No association was observed with radiotherapy. Results from the multi-state model showed shorter BCSS for CHEK2 c.1100delC carriers versus non-carriers also after accounting for CBC occurrence [HR (95% CI): 1.30 (1.09-1.56)]. CONCLUSION: Systemic therapy was associated with reduced CBC risk irrespective of CHEK2 c.1100delC status. Moreover, CHEK2 c.1100delC carriers had shorter BCSS, which appears not to be fully explained by their CBC risk.
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    A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry
    Middha, PK ; Wang, X ; Behrens, S ; Bolla, MK ; Wang, Q ; Dennis, J ; Michailidou, K ; Ahearn, TU ; Andrulis, IL ; Anton-Culver, H ; Arndt, V ; Aronson, KJ ; Auer, PL ; Augustinsson, A ; Baert, T ; Freeman, LEB ; Becher, H ; Beckmann, MW ; Benitez, J ; Bojesen, SE ; Brauch, H ; Brenner, H ; Brooks-Wilson, A ; Campa, D ; Canzian, F ; Carracedo, A ; Castelao, JE ; Chanock, SJ ; Chenevix-Trench, G ; Cordina-Duverger, E ; Couch, FJ ; Cox, A ; Cross, SS ; Czene, K ; Dossus, L ; Dugue, P-A ; Eliassen, AH ; Eriksson, M ; Evans, DG ; Fasching, PA ; Figueroa, J ; Fletcher, O ; Flyger, H ; Gabrielson, M ; Gago-Dominguez, M ; Giles, GG ; Gonzalez-Neira, A ; Grassmann, F ; Grundy, A ; Guenel, P ; Haiman, CA ; Hakansson, N ; Hall, P ; Hamann, U ; Hankinson, SE ; Harkness, EF ; Holleczek, B ; Hoppe, R ; Hopper, JL ; Houlston, RS ; Howell, A ; Hunter, DJ ; Ingvar, C ; Isaksson, K ; Jernstroem, H ; John, EM ; Jones, ME ; Kaaks, R ; Keeman, R ; Kitahara, CM ; Ko, Y-D ; Koutros, S ; Kurian, AW ; Lacey, JV ; Lambrechts, D ; Larson, NL ; Larsson, S ; Le Marchand, L ; Lejbkowicz, F ; Li, S ; Linet, M ; Lissowska, J ; Martinez, ME ; Maurer, T ; Mulligan, AM ; Mulot, C ; Murphy, RA ; Newman, WG ; Nielsen, SF ; Nordestgaard, BG ; Norman, A ; O'Brien, KM ; Olson, JE ; Patel, AV ; Prentice, R ; Rees-Punia, E ; Rennert, G ; Rhenius, V ; Ruddy, KJ ; Sandler, DP ; Scott, CG ; Shah, MT ; Shu, X-O ; Smeets, A ; Southey, MC ; Stone, J ; Tamimi, RM ; Taylor, JA ; Teras, LR ; Tomczyk, K ; Troester, MA ; Truong, T ; Vachon, CM ; Wang, SS ; Weinberg, CR ; Wildiers, H ; Willett, W ; Winham, SJ ; Wolk, A ; Yang, X ; Zamora, MP ; Zheng, W ; Ziogas, A ; Dunning, AM ; Pharoah, PDP ; Garcia-Closas, M ; Schmidt, MK ; Kraft, P ; Milne, RL ; Lindstroem, S ; Easton, DF ; Chang-Claude, J (BMC, 2023-08-09)
    BACKGROUND: Genome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer. METHODS: Analyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs. RESULTS: Assuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability < 15%, we identified two independent SNP-risk factor pairs: rs80018847(9p13)-LINGO2 and adult height in association with overall breast cancer risk (ORint = 0.94, 95% CI 0.92-0.96), and rs4770552(13q12)-SPATA13 and age at menarche for ER + breast cancer risk (ORint = 0.91, 95% CI 0.88-0.94). CONCLUSIONS: Overall, the contribution of G×E interactions to the heritability of breast cancer is very small. At the population level, multiplicative G×E interactions do not make an important contribution to risk prediction in breast cancer.
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    Body Size, Diet Quality, and Epigenetic Aging: Cross-Sectional and Longitudinal Analyses
    Li, DL ; Hodge, AM ; Cribb, L ; Southey, MC ; Giles, GG ; Milne, RL ; Dugue, P-A ; Duque, G (OXFORD UNIV PRESS INC, 2024-04-01)
    Epigenetic age is an emerging marker of health that is highly predictive of disease and mortality risk. There is a lack of evidence on whether lifestyle changes are associated with changes in epigenetic aging. We used data from 1 041 participants in the Melbourne Collaborative Cohort Study with blood DNA methylation measures at baseline (1990-1994, mean age: 57.4 years) and follow-up (2003-2007, mean age: 68.8 years). The Alternative Healthy Eating Index-2010 (AHEI-2010), the Mediterranean Dietary Score, and the Dietary Inflammatory Index were used as measures of diet quality, and weight, waist circumference, and waist-to-hip ratio as measures of body size. Five age-adjusted epigenetic aging measures were considered: GrimAge, PhenoAge, PCGrimAge, PCPhenoAge, and DunedinPACE. Multivariable linear regression models including restricted cubic splines were used to assess the cross-sectional and longitudinal associations of body size and diet quality with epigenetic aging. Associations between weight and epigenetic aging cross-sectionally at both time points were positive and appeared greater for DunedinPACE (per SD: β ~0.24) than for GrimAge and PhenoAge (β ~0.10). The longitudinal associations with weight change were markedly nonlinear (U-shaped) with stable weight being associated with the lowest epigenetic aging at follow-up, except for DunedinPACE, for which only weight gain showed a positive association. We found negative, linear associations for AHEI-2010 both cross-sectionally and longitudinally. Other adiposity measures and dietary scores showed similar results. In middle-aged to older adults, declining diet quality and weight gain may increase epigenetic age, while the association for weight loss may require further investigation. Our study sheds light on the potential of weight management and dietary improvement in slowing aging processes.
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    Intratumoral presence of the genotoxic gut bacteria pks+ E. coli, Enterotoxigenic Bacteroides fragilis, and Fusobacterium nucleatum and their association with clinicopathological and molecular features of colorectal cancer
    Joo, JE ; Chu, YL ; Georgeson, P ; Walker, R ; Mahmood, K ; Clendenning, M ; Meyers, AL ; Como, J ; Joseland, S ; Preston, SG ; Diepenhorst, N ; Toner, J ; Ingle, DJ ; Sherry, NL ; Metz, A ; Lynch, BM ; Milne, RL ; Southey, MC ; Hopper, JL ; Win, AK ; Macrae, FA ; Winship, IM ; Rosty, C ; Jenkins, MA ; Buchanan, DD (Springer Nature, 2024)
    Background: This study aimed to investigate clinicopathological and molecular tumour features associated with intratumoral pks+ Escherichia coli (pks+E.coli+), pks+E.coli- (non-E.coli bacteria harbouring the pks island), Enterotoxigenic Bacteroides fragilis (ETBF) and Fusobacterium nucleatum (F. nucleatum). Methods: We screened 1697 tumour-derived DNA samples from the Australasian Colorectal Cancer Family Registry, Melbourne Collaborative Cohort Study and the ANGELS study using targeted PCR. Results: Pks+E.coli+ was associated with male sex (P < 0.01) and APC:c.835-8 A > G somatic mutation (P = 0.03). The association between pks+E.coli+ and APC:c.835-8 A > G was specific to early-onset CRCs (diagnosed<45years, P = 0.02). The APC:c.835-A > G was not associated with pks+E.coli- (P = 0.36). F. nucleatum was associated with DNA mismatch repair deficiency (MMRd), BRAF:c.1799T>A p.V600E mutation, CpG island methylator phenotype, proximal tumour location, and high levels of tumour infiltrating lymphocytes (Ps < 0.01). In the stratified analysis by MMRd subgroups, F. nucleatum was associated with Lynch syndrome, MLH1 methylated and double MMR somatic mutated MMRd subgroups (Ps < 0.01). Conclusion: Intratumoral pks+E.coli+ but not pks+E.coli- are associated with CRCs harbouring the APC:c.835-8 A > G somatic mutation, suggesting that this mutation is specifically related to DNA damage from colibactin-producing E.coli exposures. F. nucleatum was associated with both hereditary and sporadic MMRd subtypes, suggesting the MMRd tumour microenvironment is important for F. nucleatum colonisation irrespective of its cause.
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    Modifiable lifestyle risk factors and survival after diagnosis with multiple myeloma
    Cheah, S ; Bassett, JK ; Bruinsma, FJ ; Hopper, J ; Jayasekara, H ; Joshua, D ; Macinnis, RJ ; Prince, HM ; Southey, MC ; Vajdic, CM ; van Leeuwen, MT ; Doo, NW ; Harrison, SJ ; English, DR ; Giles, GG ; Milne, RL (TAYLOR & FRANCIS LTD, 2023-10-03)
    BACKGROUND: While remaining incurable, median overall survival for MM now exceeds 5 years. Yet few studies have investigated how modifiable lifestyle factors influence survival. We investigate whether adiposity, diet, alcohol, or smoking are associated with MM-related fatality. RESEARCH DESIGN AND METHODS: We recruited 760 incident cases of MM via cancer registries in two Australian states during 2010-2016. Participants returned questionnaires on health and lifestyle. Follow-up ended in 2020. Flexible parametric survival models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for lifestyle exposures and risk of all-cause and MM-specific fatality. RESULTS: Higher pre-diagnosis Alternative Healthy Eating Index (AHEI) scores were associated with reduced MM-specific fatality (per 10-unit score, HR = 0.84, 95%CI = 0.70-0.99). Pre-diagnosis alcohol consumption was inversely associated with MM-specific fatality, compared with nondrinkers (0.1-20 g per day, HR = 0.59, 95%CI = 0.39-0.90; >20 g per day, HR = 0.67, 95%CI = 0.40-1.13). Tobacco smoking was associated with increased all-cause fatality compared with never smoking (former smokers: HR = 1.44, 95%CI = 1.10-1.88; current smokers: HR = 1.30, 95%CI = 0.80-2.10). There was no association between pre-enrollment body mass index (BMI) and MM-specific or all-cause fatality. CONCLUSIONS: Our findings support established recommendations for healthy diets and against smoking. Higher quality diet, as measured by the AHEI, may improve survival post diagnosis with MM.
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    Spectrum and Frequency of Germline FANCM Protein-Truncating Variants in 44,803 European Female Breast Cancer Cases
    Figlioli, G ; Billaud, A ; Wang, Q ; Bolla, MK ; Dennis, J ; Lush, M ; Kvist, A ; Adank, MA ; Ahearn, TU ; Antonenkova, NN ; Auvinen, P ; Behrens, S ; Bermisheva, M ; Bogdanova, N ; Bojesen, SE ; Bonanni, B ; Bruening, T ; Camp, NJ ; Campbell, A ; Castelao, JE ; Cessna, MH ; Czene, K ; Devilee, P ; Doerk, T ; Eriksson, M ; Fasching, PA ; Flyger, H ; Gabrielson, M ; Gago-Dominguez, M ; Garcia-Closas, M ; Glendon, G ; Garcia, EG ; Gonzalez-Neira, A ; Grassmann, F ; Guenel, P ; Hahnen, E ; Hamann, U ; Hillemanns, P ; Hooning, MJ ; Hoppe, R ; Howell, A ; Humphreys, K ; Jakubowska, A ; Khusnutdinova, EK ; Kristensen, VN ; Lindblom, A ; Loizidou, MA ; Lubinski, J ; Mannermaa, A ; Maurer, T ; Mavroudis, D ; Newman, WG ; Obi, N ; Panayiotidis, M ; Radice, P ; Rashid, MU ; Rhenius, V ; Ruebner, M ; Saloustros, E ; Sawyer, EJ ; Schmidt, MK ; Schmutzler, RK ; Shah, MT ; Southey, MC ; Tomlinson, I ; Truong, T ; van Veen, EM ; Wendt, C ; Yang, XR ; Michailidou, K ; Dunning, AM ; Pharoah, PDP ; Easton, DF ; Andrulis, IL ; Evans, DG ; Hollestelle, A ; Chang-Claude, J ; Milne, RL ; Peterlongo, P (MDPI, 2023-07)
    FANCM germline protein truncating variants (PTVs) are moderate-risk factors for ER-negative breast cancer. We previously described the spectrum of FANCM PTVs in 114 European breast cancer cases. In the present, larger cohort, we report the spectrum and frequency of four common and 62 rare FANCM PTVs found in 274 carriers detected among 44,803 breast cancer cases. We confirmed that p.Gln1701* was the most common PTV in Northern Europe with lower frequencies in Southern Europe. In contrast, p.Gly1906Alafs*12 was the most common PTV in Southern Europe with decreasing frequencies in Central and Northern Europe. We verified that p.Arg658* was prevalent in Central Europe and had highest frequencies in Eastern Europe. We also confirmed that the fourth most common PTV, p.Gln498Thrfs*7, might be a founder variant from Lithuania. Based on the frequency distribution of the carriers of rare PTVs, we showed that the FANCM PTVs spectra in Southwestern and Central Europe were much more heterogeneous than those from Northeastern Europe. These findings will inform the development of more efficient FANCM genetic testing strategies for breast cancer cases from specific European populations.
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    Associations of height, body mass index, and weight gain with breast cancer risk in carriers of a pathogenic variant in BRCA1 or BRCA2: the BRCA1 and BRCA2 Cohort Consortium
    Kast, KM ; John, EL ; Hopper, J ; Andrieu, N ; Nogues, C ; Mouret-Fourme, E ; Lasset, C ; Fricker, J-P ; Berthet, P ; Mari, V ; Salle, LK ; Schmidt, M ; Ausems, MGEM ; Garcia, EBG ; van de Beek, IR ; Wevers, M ; Evans, DG ; Tischkowitz, M ; Lalloo, F ; Cook, J ; Izatt, L ; Tripathi, V ; Snape, K ; Musgrave, H ; Sharif, S ; Murray, JV ; Colonna, SV ; Andrulis, IL ; Daly, MB ; Southey, MC ; de la Hoya, M ; Osorio, A ; Foretova, L ; Berkova, D ; Gerdes, A-M ; Olah, E ; Jakubowska, A ; Singer, CF ; Tan, Y ; Augustinsson, A ; Rantala, J ; Simard, J ; Schmutzler, RK ; Milne, RL ; Phillips, K-A ; Terry, MB ; Goldgar, D ; van Leeuwen, FE ; Mooij, TM ; Antoniou, AC ; Easton, DF ; Rookus, MA ; Engel, C (BMC, 2023-06-20)
    INTRODUCTION: Height, body mass index (BMI), and weight gain are associated with breast cancer risk in the general population. It is unclear whether these associations also exist for carriers of pathogenic variants in the BRCA1 or BRCA2 genes. PATIENTS AND METHODS: An international pooled cohort of 8091 BRCA1/2 variant carriers was used for retrospective and prospective analyses separately for premenopausal and postmenopausal women. Cox regression was used to estimate breast cancer risk associations with height, BMI, and weight change. RESULTS: In the retrospective analysis, taller height was associated with risk of premenopausal breast cancer for BRCA2 variant carriers (HR 1.20 per 10 cm increase, 95% CI 1.04-1.38). Higher young-adult BMI was associated with lower premenopausal breast cancer risk for both BRCA1 (HR 0.75 per 5 kg/m2, 95% CI 0.66-0.84) and BRCA2 (HR 0.76, 95% CI 0.65-0.89) variant carriers in the retrospective analysis, with consistent, though not statistically significant, findings from the prospective analysis. In the prospective analysis, higher BMI and adult weight gain were associated with higher postmenopausal breast cancer risk for BRCA1 carriers (HR 1.20 per 5 kg/m2, 95% CI 1.02-1.42; and HR 1.10 per 5 kg weight gain, 95% CI 1.01-1.19, respectively). CONCLUSION: Anthropometric measures are associated with breast cancer risk for BRCA1 and BRCA2 variant carriers, with relative risk estimates that are generally consistent with those for women from the general population.
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    A Likelihood Ratio Approach for Utilizing Case-Control Data in the Clinical Classification of Rare Sequence Variants: Application to BRCA1 and BRCA2
    Zanti, M ; O'Mahony, DG ; Parsons, MT ; Li, H ; Dennis, J ; Aittomakkiki, K ; Andrulis, IL ; Anton-Culver, H ; Aronson, KJ ; Augustinsson, A ; Becher, H ; Bojesen, SE ; Bolla, MK ; Brenner, H ; Brown, MA ; Buys, SS ; Canzian, F ; Caputo, SM ; Castelao, JE ; Chang-Claude, J ; Czene, K ; Daly, MB ; De Nicolo, A ; Devilee, P ; Dork, T ; Dunning, AM ; Dwek, M ; Eccles, DM ; Engel, C ; Evans, DG ; Fasching, PA ; Gago-Dominguez, M ; Garcia-Closas, M ; Garcia-Saenz, JA ; Gentry-Maharaj, A ; Geurts-Giele, WRR ; Giles, GG ; Glendon, G ; Goldberg, MS ; Garcia, EBG ; Guendert, M ; Guenel, P ; Hahnen, E ; Haiman, CA ; Hall, P ; Hamann, U ; Harkness, EF ; Hogervorst, FBL ; Hollestelle, A ; Hoppe, R ; Hopper, JL ; Houdayer, C ; Houlston, RS ; Howell, A ; Investigators, A ; Jakimovska, M ; Jakubowska, A ; Jernstrom, H ; John, EM ; Kaaks, R ; Kitahara, CM ; Koutros, S ; Kraft, P ; Kristensen, VN ; Lacey, J ; Lambrechts, D ; Leone, M ; Lindblom, A ; Lush, M ; Mannermaa, A ; Manoochehri, M ; Manoukian, S ; Margolin, S ; Martinez, ME ; Menon, U ; Milne, RL ; Monteiro, AN ; Murphy, RA ; Neuhausen, SL ; Nevanlinna, H ; Newman, WG ; Offit, K ; Park, SK ; James, P ; Peterlongo, P ; Peto, J ; Plaseska-Karanfilska, D ; Punie, K ; Radice, P ; Rashid, MU ; Rennert, G ; Romero, A ; Rosenberg, EH ; Saloustros, E ; Sandler, DP ; Schmidt, MK ; Schmutzler, RK ; Shu, X-O ; Simard, J ; Southey, MC ; Stone, J ; Stoppa-Lyonnet, D ; Tamimi, RM ; Tapper, WJ ; Taylor, JA ; Teo, SH ; Teras, LR ; Terry, MB ; Thomassen, M ; Troester, MA ; Vachon, CM ; Vega, A ; Vreeswijk, MPG ; Wang, Q ; Wappenschmidt, B ; Weinberg, CR ; Wolk, A ; Zheng, W ; Feng, B ; Couch, FJ ; Spurdle, AB ; Easton, DF ; Goldgar, DE ; Michailidou, K ; Cutting, G (Wiley, 2023-09-14)
    A large number of variants identified through clinical genetic testing in disease susceptibility genes, are of uncertain significance (VUS). Following the recommendations of the American College of Medical Genetics and Genomics (ACMG) and Association for Molecular Pathology (AMP), the frequency in case-control datasets (PS4 criterion), can inform their interpretation. We present a novel case-control likelihood ratio-based method that incorporates gene-specific age-related penetrance. We demonstrate the utility of this method in the analysis of simulated and real datasets. In the analyses of simulated data, the likelihood ratio method was more powerful compared to other methods. Likelihood ratios were calculated for a case-control dataset of BRCA1 and BRCA2 variants from the Breast Cancer Association Consortium (BCAC), and compared with logistic regression results. A larger number of variants reached evidence in favor of pathogenicity, and a substantial number of variants had evidence against pathogenicity - findings that would not have been reached using other case-control analysis methods. Our novel method provides greater power to classify rare variants compared to classical case-control methods. As an initiative from the ENIGMA Analytical Working Group, we provide user-friendly scripts and pre-formatted excel calculators for implementation of the method for rare variants in BRCA1, BRCA2 and other high-risk genes with known penetrance.
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    Genome-wide Association Study of Bladder Cancer Reveals New Biological and Translational Insights
    Koutros, S ; Kiemeney, LA ; Choudhury, PP ; Milne, RL ; de Maturana, EL ; Ye, Y ; Joseph, V ; Florez-Vargas, O ; Dyrskjot, L ; Figueroa, J ; Dutta, D ; Giles, GG ; Hildebrandt, MAT ; Offit, K ; Kogevinas, M ; Weiderpass, E ; McCullough, ML ; Freedman, ND ; Albanes, D ; Kooperberg, C ; Cortessis, VK ; Karagas, MR ; Johnson, A ; Schwenn, MR ; Baris, D ; Furberg, H ; Bajorin, DF ; Cussenot, O ; Cancel-Tassin, G ; Benhamou, S ; Kraft, P ; Porru, S ; Carta, A ; Bishop, T ; Southey, MC ; Matullo, G ; Fletcher, T ; Kumar, R ; Taylor, JA ; Lamy, P ; Prip, F ; Kalisz, M ; Weinstein, SJ ; Hengstler, JG ; Selinski, S ; Harland, M ; Teo, M ; Kiltie, AE ; Tardon, A ; Serra, C ; Carrato, A ; Garcia-Closas, R ; Lloreta, J ; Schned, A ; Lenz, P ; Riboli, E ; Brennan, P ; Tjonneland, A ; Otto, T ; Ovsiannikov, D ; Volkert, F ; Vermeulen, SH ; Aben, KK ; Galesloot, TE ; Turman, C ; De Vivo, I ; Giovannucci, E ; Hunter, DJ ; Hohensee, C ; Hunt, R ; V. Patel, A ; Huang, W-Y ; Thorleifsson, G ; Gago-Dominguez, M ; Amiano, P ; Golka, K ; Stern, MC ; Yan, W ; Liu, J ; Alfred, S ; Katta, S ; Hutchinson, A ; Hicks, B ; Wheeler, WA ; Purdue, MP ; McGlynn, KA ; Kitahara, CM ; Haiman, CA ; Greene, MH ; Rafnar, T ; Chatterjee, N ; Chanock, SJ ; Wu, X ; Real, FX ; Silverman, DT ; Garcia-Closas, M ; Stefansson, K ; Prokunina-Olsson, L ; Malats, N ; Rothman, N (ELSEVIER, 2023-07)
    BACKGROUND: Genomic regions identified by genome-wide association studies (GWAS) for bladder cancer risk provide new insights into etiology. OBJECTIVE: To identify new susceptibility variants for bladder cancer in a meta-analysis of new and existing genome-wide genotype data. DESIGN, SETTING, AND PARTICIPANTS: Data from 32 studies that includes 13,790 bladder cancer cases and 343,502 controls of European ancestry were used for meta-analysis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSES: Log-additive associations of genetic variants were assessed using logistic regression models. A fixed-effects model was used for meta-analysis of the results. Stratified analyses were conducted to evaluate effect modification by sex and smoking status. A polygenic risk score (PRS) was generated on the basis of known and novel susceptibility variants and tested for interaction with smoking. RESULTS AND LIMITATIONS: Multiple novel bladder cancer susceptibility loci (6p.22.3, 7q36.3, 8q21.13, 9p21.3, 10q22.1, 19q13.33) as well as improved signals in three known regions (4p16.3, 5p15.33, 11p15.5) were identified, bringing the number of independent markers at genome-wide significance (p < 5 × 10-8) to 24. The 4p16.3 (FGFR3/TACC3) locus was associated with a stronger risk for women than for men (p-interaction = 0.002). Bladder cancer risk was increased by interactions between smoking status and genetic variants at 8p22 (NAT2; multiplicative p value for interaction [pM-I] = 0.004), 8q21.13 (PAG1; pM-I = 0.01), and 9p21.3 (LOC107987026/MTAP/CDKN2A; pM-I = 0.02). The PRS based on the 24 independent GWAS markers (odds ratio per standard deviation increase 1.49, 95% confidence interval 1.44-1.53), which also showed comparable results in two prospective cohorts (UK Biobank, PLCO trial), revealed an approximately fourfold difference in the lifetime risk of bladder cancer according to the PRS (e.g., 1st vs 10th decile) for both smokers and nonsmokers. CONCLUSIONS: We report novel loci associated with risk of bladder cancer that provide clues to its biological underpinnings. Using 24 independent markers, we constructed a PRS to stratify lifetime risk. The PRS combined with smoking history, and other established risk factors, has the potential to inform future screening efforts for bladder cancer. PATIENT SUMMARY: We identified new genetic markers that provide biological insights into the genetic causes of bladder cancer. These genetic risk factors combined with lifestyle risk factors, such as smoking, may inform future preventive and screening strategies for bladder cancer.