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2. Compositional clusters in the nasal microbiome as predictors of SARS-CoV-2 infection - results from the German National Cohort (NAKO) study

Author

Kleine Bardenhorst, S, Six-Merker, J, Peters, A, Krist, L, Keil, T, Nimptsch, K, Pischon, T, Gastell, S, Schulze, MB, Wolters, M, Günther, K, Schikowski, T, Schmidt, B, Stang, A, Michels, KB, Klee, B, Mikolajczyk, R, Harth, V, Obi, N, Lange, B, Klett-Tammen, CJ, Lieb, W, Becher, H, Kaaks, R, Karch, A, Berger, K, Nauck, M, Khattak M, N, Baurecht, H, Leitzmann, M, Holleczek, B, Brenner, H, Kemmling, Y, Panreck, L, Vital, M, Rübsamen, N, Kleine Bardenhorst, S, Six-Merker, J, Peters, A, Krist, L, Keil, T, Nimptsch, K, Pischon, T, Gastell, S, Schulze, MB, Wolters, M, Günther, K, Schikowski, T, Schmidt, B, Stang, A, Michels, KB, Klee, B, Mikolajczyk, R, Harth, V, Obi, N, Lange, B, Klett-Tammen, CJ, Lieb, W, Becher, H, Kaaks, R, Karch, A, Berger, K, Nauck, M, Khattak M, N, Baurecht, H, Leitzmann, M, Holleczek, B, Brenner, H, Kemmling, Y, Panreck, L, Vital, M, and Rübsamen, N

Published
2024

4. Sex differences in cardiovascular risk in relation to socioeconomic position in the NAKO study

Author

Moreno, I, Peters, S, Dragano, N, Greiser, KH, Doerr, M, Fischer, B, Berger, K, Hannemann, A, Schnabel, R, Nauck, M, goettlicher, s, Peters, A, Rospleszcz, S, Willich, SN, Krist, L, Schulze, MB, Gastell, S, Brand, T, Günther, K, Schikowski, T, Emmel, C, Schmidt, B, Michels, KB, Mikolajczyk, R, Kluttig, A, Harth, V, Obi, N, Castell, S, Klett-Tammen, CJ, Lieb, W, Becher, H, Winkler, V, Minnerup, H, Karch, A, Meinke-Franze, C, Leitzmann, MF, Stein, MJ, Bohn, B, Schoettker, B, trares, K, Pischon, T, Moreno, I, Peters, S, Dragano, N, Greiser, KH, Doerr, M, Fischer, B, Berger, K, Hannemann, A, Schnabel, R, Nauck, M, goettlicher, s, Peters, A, Rospleszcz, S, Willich, SN, Krist, L, Schulze, MB, Gastell, S, Brand, T, Günther, K, Schikowski, T, Emmel, C, Schmidt, B, Michels, KB, Mikolajczyk, R, Kluttig, A, Harth, V, Obi, N, Castell, S, Klett-Tammen, CJ, Lieb, W, Becher, H, Winkler, V, Minnerup, H, Karch, A, Meinke-Franze, C, Leitzmann, MF, Stein, MJ, Bohn, B, Schoettker, B, trares, K, and Pischon, T

Published
2024

8. Psychische und somatische Gesundheit in der deutschen Allgemeinbevölkerung - Ergebnisse der NAKO Gesundheitsstudie

Author

Pabst, A, Berger, K, Riedel-Heller, SG, Rodriguez, FS, Röhr, S, Wagner, M, Dragano, N, Schmidt, B, Becher, H, Kleineidam, L, Scherer, M, Stein, J, Streit, F, Klinger-König, J, Völker, M, Erhardt, A, Rietschel, M, Deckert, J, Grabe, HJ, NAKO collaborators, Pabst, A, Berger, K, Riedel-Heller, SG, Rodriguez, FS, Röhr, S, Wagner, M, Dragano, N, Schmidt, B, Becher, H, Kleineidam, L, Scherer, M, Stein, J, Streit, F, Klinger-König, J, Völker, M, Erhardt, A, Rietschel, M, Deckert, J, Grabe, HJ, and NAKO collaborators

Published
2024

9. Physical activity in adults with and without rheumatoid arthritis: cross-sectional results from the Survey of Health, Ageing and Retirement in Europe (SHARE).

Author

Belau, MH, Flaßkamp, F, Becher, H, Hajek, A, König, H-H, and Baumbach, L

Subjects
PHYSICAL activity, RETIREMENT age, RHEUMATOID arthritis, ADULTS, HEALTH surveys
Abstract

Studies examining habitual physical activity levels and patterns in adults with rheumatoid arthritis (RA) using raw data from modern accelerometers are lacking. We aimed (i) to examine physical activity levels and patterns in adults with RA in their familiar environment, and (ii) to investigate whether physical activity levels differ throughout the day. Data were taken from Wave 8 of the Survey of Health, Ageing and Retirement in Europe, including N = 607 men and women who wore a triaxial accelerometer and had adequate information for RA and accelerometry data summarized as Euclidean norm minus one (ENMO, mg). Growth-curve models and simple contrast analysis were used to examine the effect of RA on daily patterns of physical activity levels, including mean total ENMO in mg, mean minutes of light-intensity physical activity (ENMO values ≥ 25 mg and ≤ 75 mg), and moderate-to-vigorous-intensity physical activity (ENMO values > 75 mg). Total physical activity averaged throughout the day was 25.0 and 28.6 mg for respondents with and without RA, respectively. Respondents with RA spent more time in light-intensity physical activity throughout the day (p < 0.001), but less time in moderate-to-vigorous-intensity physical activity between 4 am and 11 pm (p < 0.001) than respondents without RA. Adults with RA were less physically active than adults without RA. However, there were no diurnal differences in physical activity. [ABSTRACT FROM AUTHOR]

Published
2024
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13. FANCM missense variants and breast cancer risk

Author

Figlioli, G., Billaud, A., Ahearn, T.U., Antonenkova, N.N., Becher, H., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Blok, M.J., Bogdanova, N.V., Bonanni, B., Burwinkel, B., Camp, N.J., Campbell, A., Castelao, J.E., Cessna, M.H., Chanock, S.J., Czene, K., Devilee, P., Dork, T., Engel, C., Eriksson, M., Fasching, P.A., Figueroa, J.D., Gabrielson, M., Gago-Dominguez, M., Garcia-Closas, M., Gonzalez-Neira, A., Grassmann, F., Guenel, P., Gundert, M., Hadjisavvas, A., Hahnen, E., Hall, P., Hamann, U., Harrington, P.A., He, W., Hillemanns, P., Hollestelle, A., Hooning, M.J., Hoppe, R., Howell, A., Humphreys, K., Jager, A., Jakubowska, A., Khusnutdinova, E.K., Ko, Y.D., Kristensen, V.N., Lindblom, A., Peterlongo, Paolo, MUMC+: DA KG Lab Specialisten (9), RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA KG Lab Centraal Lab (9), and Medical Oncology

Subjects
Manchester Cancer Research Centre, SDG 3 - Good Health and Well-being, ResearchInstitutes_Networks_Beacons/mcrc, Framework, Genetics, Pathogenicity, C.5791c-greater-than-t, Gene, Genetics (clinical)
Abstract

Evidence from literature, including the BRIDGES study, indicates that germline protein truncating variants (PTVs) in FANCM confer moderately increased risk of ER-negative and triple-negative breast cancer (TNBC), especially for women with a family history of the disease. Association between FANCM missense variants (MVs) and breast cancer risk has been postulated. In this study, we further used the BRIDGES study to test 689 FANCM MVs for association with breast cancer risk, overall and in ER-negative and TNBC subtypes, in 39,885 cases (7566 selected for family history) and 35,271 controls of European ancestry. Sixteen common MVs were tested individually; the remaining rare 673 MVs were tested by burden analyses considering their position and pathogenicity score. We also conducted a meta-analysis of our results and those from published studies. We did not find evidence for association for any of the 16 variants individually tested. The rare MVs were significantly associated with increased risk of ER-negative breast cancer by burden analysis comparing familial cases to controls (OR = 1.48; 95% CI 1.07–2.04; P = 0.017). Higher ORs were found for the subgroup of MVs located in functional domains or predicted to be pathogenic. The meta-analysis indicated that FANCM MVs overall are associated with breast cancer risk (OR = 1.22; 95% CI 1.08–1.38; P = 0.002). Our results support the definition from previous analyses of FANCM as a moderate-risk breast cancer gene and provide evidence that FANCM MVs could be low/moderate risk factors for ER-negative and TNBC subtypes. Further genetic and functional analyses are necessary to clarify better the increased risks due to FANCM MVs.

Published
2023

17. Childhood Trauma and Somatic and Mental Illness in Adulthood: Findings of the NAKO Health Study.

Author

Klinger-König, J., Erhardt, A., Streit, F., Völker, M. P., Schulze, M. B., Keil, T., Fricke, J., Castell, S., Klett-Tammen, C. J., Pischon, T., Karch, A., Teismann, H., Michels, K. B., Greiser, K. H., Becher, H., Karrasch, S., Ahrens, W., Meinke-Franze, C., Schipf, S., and Mikolajczyk, R.

Abstract

Background: Childhood trauma is associated with somatic and mental illness in adulthood. The strength of the association varies as a function of age, sex, and type of trauma. Pertinent studies to date have mainly focused on individual diseases. In this study, we investigate the association between childhood trauma and a multiplicity of somatic and mental illnesses in adulthood. Methods: Data from 156 807 NAKO Health Study participants were analyzed by means of logistic regressions, with adjustment for age, sex, years of education, and study site. The Childhood Trauma Screener differentiated between no/minor (n = 115 891) and moderate/severe childhood trauma (n = 40 916). The outcome variables were medical diagnoses of five somatic and two mental health conditions as stated in the clinical history. Results: Persons with childhood trauma were more likely to bear a diagnosis of all of the studied conditions: cancer (odds ratio [OR] = 1.10; 95% confidence interval: [1.05; 1.15]), myocardial infarction (OR = 1.13 [1.03; 1.24]), diabetes (OR = 1.16, [1.10; 1.23]), stroke (OR = 1.35 [1.23; 1.48]), chronic obstructive pulmonary disease (OR = 1.45 [1.38; 1.52]), depression (OR = 2.36 [2.29; 2.43]), and anxiety disorders (OR = 2.08 [2.00; 2.17]). All of these associations were stronger in younger persons, regardless of the nature of childhood trauma. Differences between the sexes were observed only for some of these associations. Conclusion: Childhood trauma was associated with a higher probability of developing mental as well as somatic illness in adulthood. As childhood trauma is an element of individual history that the victim has little to no control over, and because the illnesses that can arise in adulthood in association with it are a heavy burden on the affected persons and on society, there is a need for research on these associations and for the development of preventive measures. [ABSTRACT FROM AUTHOR]

Published
2024
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22. A Likelihood Ratio Approach for Utilizing Case-Control Data in the Clinical Classification of Rare Sequence Variants: Application to BRCA1 and BRCA2

Author

Cutting, G, 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, 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, and Michailidou, K

Abstract

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.

Published
2023

23. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry

Author

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, 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, and Chang-Claude, J

Abstract

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.

Published
2023

24. FANCM missense variants and breast cancer risk: a case-control association study of 75,156 European women

Author

Figlioli, G, Billaud, A, Ahearn, TU, Antonenkova, NN, Becher, H, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Blok, MJ, Bogdanova, NV, Bonanni, B, Burwinkel, B, Camp, NJ, Campbell, A, Castelao, JE, Cessna, MH, Chanock, SJ, Czene, K, Devilee, P, Doerk, T, Engel, C, Eriksson, M, Fasching, PA, Figueroa, JD, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Gonzalez-Neira, A, Grassmann, F, Guenel, P, Guendert, M, Hadjisavvas, A, Hahnen, E, Hall, P, Hamann, U, Harrington, PA, He, W, Hillemanns, P, Hollestelle, A, Hooning, MJ, Hoppe, R, Howell, A, Humphreys, K, Jager, A, Jakubowska, A, Khusnutdinova, EK, Ko, Y-D, Kristensen, VN, Lindblom, A, Lissowska, J, Lubinski, J, Mannermaa, A, Manoukian, S, Margolin, S, Mavroudis, D, Newman, WG, Obi, N, Panayiotidis, MI, Rashid, MU, Rhenius, V, Rookus, MA, Saloustros, E, Sawyer, EJ, Schmutzler, RK, Shah, M, Sironen, R, Southey, MC, Suvanto, M, Tollenaar, RAEM, Tomlinson, I, Truong, T, van der Kolk, LE, van Veen, EM, Wappenschmidt, B, Yang, XR, Bolla, MK, Dennis, J, Dunning, AM, Easton, DF, Lush, M, Michailidou, K, Pharoah, PDP, Wang, Q, Adank, MA, Schmidt, MK, Andrulis, IL, Chang-Claude, J, Nevanlinna, H, Chenevix-Trench, G, Evans, DG, Milne, RL, Radice, P, Peterlongo, P, Figlioli, G, Billaud, A, Ahearn, TU, Antonenkova, NN, Becher, H, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Blok, MJ, Bogdanova, NV, Bonanni, B, Burwinkel, B, Camp, NJ, Campbell, A, Castelao, JE, Cessna, MH, Chanock, SJ, Czene, K, Devilee, P, Doerk, T, Engel, C, Eriksson, M, Fasching, PA, Figueroa, JD, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Gonzalez-Neira, A, Grassmann, F, Guenel, P, Guendert, M, Hadjisavvas, A, Hahnen, E, Hall, P, Hamann, U, Harrington, PA, He, W, Hillemanns, P, Hollestelle, A, Hooning, MJ, Hoppe, R, Howell, A, Humphreys, K, Jager, A, Jakubowska, A, Khusnutdinova, EK, Ko, Y-D, Kristensen, VN, Lindblom, A, Lissowska, J, Lubinski, J, Mannermaa, A, Manoukian, S, Margolin, S, Mavroudis, D, Newman, WG, Obi, N, Panayiotidis, MI, Rashid, MU, Rhenius, V, Rookus, MA, Saloustros, E, Sawyer, EJ, Schmutzler, RK, Shah, M, Sironen, R, Southey, MC, Suvanto, M, Tollenaar, RAEM, Tomlinson, I, Truong, T, van der Kolk, LE, van Veen, EM, Wappenschmidt, B, Yang, XR, Bolla, MK, Dennis, J, Dunning, AM, Easton, DF, Lush, M, Michailidou, K, Pharoah, PDP, Wang, Q, Adank, MA, Schmidt, MK, Andrulis, IL, Chang-Claude, J, Nevanlinna, H, Chenevix-Trench, G, Evans, DG, Milne, RL, Radice, P, and Peterlongo, P

Abstract

Evidence from literature, including the BRIDGES study, indicates that germline protein truncating variants (PTVs) in FANCM confer moderately increased risk of ER-negative and triple-negative breast cancer (TNBC), especially for women with a family history of the disease. Association between FANCM missense variants (MVs) and breast cancer risk has been postulated. In this study, we further used the BRIDGES study to test 689 FANCM MVs for association with breast cancer risk, overall and in ER-negative and TNBC subtypes, in 39,885 cases (7566 selected for family history) and 35,271 controls of European ancestry. Sixteen common MVs were tested individually; the remaining rare 673 MVs were tested by burden analyses considering their position and pathogenicity score. We also conducted a meta-analysis of our results and those from published studies. We did not find evidence for association for any of the 16 variants individually tested. The rare MVs were significantly associated with increased risk of ER-negative breast cancer by burden analysis comparing familial cases to controls (OR = 1.48; 95% CI 1.07-2.04; P = 0.017). Higher ORs were found for the subgroup of MVs located in functional domains or predicted to be pathogenic. The meta-analysis indicated that FANCM MVs overall are associated with breast cancer risk (OR = 1.22; 95% CI 1.08-1.38; P = 0.002). Our results support the definition from previous analyses of FANCM as a moderate-risk breast cancer gene and provide evidence that FANCM MVs could be low/moderate risk factors for ER-negative and TNBC subtypes. Further genetic and functional analyses are necessary to clarify better the increased risks due to FANCM MVs.

Published
2023

26. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in similar to 200,000 patients (vol 24, 69, 2022)

Author

Giardiello, D., Hooning, M.J., Hauptmann, M., Keeman, R., Heemskerk-Gerritsen, B.A.M., Becher, H., Blomqvist, C., Bojesen, S.E., Bolla, M.K., Camp, N.J., Czene, K., Devilee, P., Eccles, D.M., Fasching, P.A., Figueroa, J.D., Flyger, H., Garcia-Closas, M., Haiman, C.A., Hamann, U., Hopper, J.L., Jakubowska, A., Leeuwen, F.E., Lindblom, A., Lubinski, J., Margolin, S., Martinez, M.E., Nevanlinna, H., Nevelsteen, I., Pelders, S., Pharoah, P.D.P., Siesling, S., Southey, M.C., Hout, A.H. van der, Hest, L.P. van, Chang-Claude, J., Hall, P., Easton, D.F., Steyerberg, E.W., and Schmidt, M.K.

Published
2022

27. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients

Author

Giardiello, D., Hooning, M.J., Hauptmann, M., Keeman, R., Heemskerk-Gerritsen, B.A.M., Becher, H., Blomqvist, C., Bojesen, S.E., Bolla, M.K., Camp, N.J., Czene, K., Devilee, P., Eccles, D.M., Fasching, P.A., Figueroa, J.D., Flyger, H., Garcia-Closas, M., Haiman, C.A., Hamann, U., Hopper, J.L., Jakubowska, A., Leeuwen, F.E., Lindblom, A., Lubinski, J., Margolin, S., Martinez, M.E., Nevanlinna, H., Nevelsteen, I., Pelders, S., Pharoah, P.D.P., Siesling, S., Southey, M.C., Hout, A.H. van der, Hest, L.P. van, Chang-Claude, J., Hall, P., Easton, D.F., Steyerberg, E.W., Schmidt, M.K., Medical Oncology, Public Health, Human genetics, CCA - Cancer Treatment and quality of life, Apollo - University of Cambridge Repository, Faculteit Medische Wetenschappen/UMCG, Medicum, HUS Comprehensive Cancer Center, Department of Oncology, Clinicum, University of Helsinki, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, and García-Closas, Montserrat [0000-0003-1033-2650]

Subjects
Clinical Decision-making, 3122 Cancers, Oncology and Carcinogenesis, Breast Neoplasms, BRCA1/2 germline mutation, Polygenic risk score, SDG 3 - Good Health and Well-being, Breast Cancer Genetic Predisposition, Risk Factors, Breast Cancer, Genetics, Humans, ddc:610, Oncology & Carcinogenesis, Contralateral Preventive Mastectomy, BCAC, Breast cancer genetic predisposition, Mastectomy, Germ-Line Mutation, Cancer, Polygenic Risk Score, Prevention, Research, Brca1/2 Germline Mutation, Risk prediction, Contralateral preventive mastectomy, Prophylactic Mastectomy, Prediction Performance, Contralateral breast cancer, Breast Cancer Association Consortium, Prediction performance, Contralateral Breast Cancer, Female, Risk Prediction, Bcac, Clinical decision-making
Abstract

Background Prediction of contralateral breast cancer (CBC) risk is challenging due to moderate performances of the known risk factors. We aimed to improve our previous risk prediction model (PredictCBC) by updated follow-up and including additional risk factors. Methods We included data from 207,510 invasive breast cancer patients participating in 23 studies. In total, 8225 CBC events occurred over a median follow-up of 10.2 years. In addition to the previously included risk factors, PredictCBC-2.0 included CHEK2 c.1100delC, a 313 variant polygenic risk score (PRS-313), body mass index (BMI), and parity. Fine and Gray regression was used to fit the model. Calibration and a time-dependent area under the curve (AUC) at 5 and 10 years were assessed to determine the performance of the models. Decision curve analysis was performed to evaluate the net benefit of PredictCBC-2.0 and previous PredictCBC models. Results The discrimination of PredictCBC-2.0 at 10 years was higher than PredictCBC with an AUC of 0.65 (95% prediction intervals (PI) 0.56–0.74) versus 0.63 (95%PI 0.54–0.71). PredictCBC-2.0 was well calibrated with an observed/expected ratio at 10 years of 0.92 (95%PI 0.34–2.54). Decision curve analysis for contralateral preventive mastectomy (CPM) showed the potential clinical utility of PredictCBC-2.0 between thresholds of 4 and 12% 10-year CBC risk for BRCA1/2 mutation carriers and non-carriers. Conclusions Additional genetic information beyond BRCA1/2 germline mutations improved CBC risk prediction and might help tailor clinical decision-making toward CPM or alternative preventive strategies. Identifying patients who benefit from CPM, especially in the general breast cancer population, remains challenging.

Published
2022
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31. Breast Cancer Risk Genes — Association Analysis in More than 113,000 Women

Author

Dorling, L., Carvalho, S., Allen, J., Gonzalez-Neira, A., Luccarini, C., Wahlstrom, C., Pooley, K.A., Parsons, M.T., Fortuno, C., Wang, Q., Bolla, M.K., Dennis, J., Keeman, R., Alonso, M.R., Alvarez, N., Herraez, B., Fernandez, V., Nunez-Torres, R., Osorio, A., Valcich, J., Li, M., Torngren, T., Harrington, P.A., Baynes, C., Conroy, D.M., Decker, B., Fachal, L., Mavaddat, N., Ahearn, T., Aittomaki, K., Antonenkova, N.N., Arnold, N., Arveux, P., Ausems, M.G.E.M., Auvinen, P., Becher, H., Beckmann, M.W., Behrens, S., Bermisheva, M., Bialkowska, K., Blomqvist, C., Bogdanova, N.V., Bogdanova-Markov, N., Bojesen, S.E., Bonanni, B., Borresen-Dale, A.L., Brauch, H., Bremer, M., Briceno, I., Bruning, T., Burwinkel, B., Cameron, D.A., Camp, N.J., Campbell, A., Carracedo, A., Castelao, J.E., Cessna, M.H., Chanock, S.J., Christiansen, H., Collee, J.M., Cordina-Duverger, E., Cornelissen, S., Czene, K., Dork, T., Ekici, A.B., Engel, C., Eriksson, M., Fasching, P.A., Figueroa, J., Flyger, H., Forsti, A., Gabrielson, M., Gago-Dominguez, M., Georgoulias, V., Gil, F., Giles, G.G., Glendon, G., Garcia, E.B.G., Alnaes, G.I.G., Guenel, P., Hadjisavvas, A., Haeberle, L., Hahnen, E., Hall, P., Hamann, U., Harkness, E.F., Hartikainen, J.M., Hartman, M., He, W., Heemskerk-Gerritsen, B.A.M., Hillemanns, P., Hogervorst, F.B.L., Hollestelle, A., Ho, W.K., Hooning, M.J., Howell, A., Humphreys, K., Idris, F., Jakubowska, A., Jung, A., Kapoor, P.M., Kerin, M.J., Khusnutdinova, E., Kim, S.W., Ko, Y.D., Kosma, V.M., Kristensen, V.N., Kyriacou, K., Lakeman, I.M.M., Lee, J.W., Lee, M.H., Li, J.M., Lindblom, A., W.Y. lo, Loizidou, M.A., Lophatananon, A., Lubinski, J., MacInnis, R.J., Madsen, M.J., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, M.E., Maurer, T., Mavroudis, D., McLean, C., Meindl, A., Mensenkamp, A.R., Michailidou, K., Miller, N., Taib, N.A.M., Muir, K., Mulligan, A.M., Nevanlinna, H., Newman, W.G., Nordestgaard, B.G., Ng, P.S., Oosterwijk, J.C., Park, S.K., Park-Simon, T.W., Perez, J.I.A., Peterlongo, P., Porteous, D.J., Prajzendanc, K., Prokofyeva, D., Radice, P., Rashid, M.U., Rhenius, V., Rookus, M.A., Rudiger, T., Saloustros, E., Sawyer, E.J., Schmutzler, R.K., Schneeweiss, A., Schurmann, P., Shah, M., Sohn, C., Southey, M.C., Surowy, H., Suvanto, M., Thanasitthichai, S., Tomlinson, I., Torres, D., Truong, T., Tzardi, M., Valova, Y., Asperen, C.J. van, Dam, R.M. van, Ouweland, A.M.W. van den, Kolk, L.E. van der, Veen, E.M. van, Wendt, C., Williams, J.A., Yang, X.H.R., Yoon, S.Y., Zamora, M.P., Evans, D.G., Hoya, M. de la, Simard, J., Antoniou, A.C., Borg, A., Andrulis, I.L., Chang-Claude, J., Garcia-Closas, M., Chenevix-Trench, G., Milne, R.L., Pharoah, P.D.P., Schmidt, M.K., Spurdle, A.B., Vreeswijk, M.P.G., Benitez, J., Dunning, A.M., Kvist, A., Teo, S.H., Devilee, P., Easton, D.F., Breast Canc Assoc Consortium, Erasmus MC other, Medical Oncology, Clinical Genetics, Keeman, Renske [0000-0002-5452-9933], Decker, Brennan [0000-0003-4516-7421], Eriksson, Mikael [0000-0001-8135-4270], Martinez, Maria Elena [0000-0002-6728-1834], Surowy, Harald [0000-0002-3595-9188], Pharoah, Paul DP [0000-0001-8494-732X], Apollo - University of Cambridge Repository, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Targeted Gynaecologic Oncology (TARGON), RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA KG Polikliniek (9), and Klinische Genetica

Subjects
Adult, Risk, Oncology, medicine.medical_specialty, Adolescent, PALB2, Genetic counseling, Genes, BRCA2, Mutation, Missense, Genes, BRCA1, Estrogen receptor, Breast Neoplasms, 030204 cardiovascular system & hematology, OVARIAN-CANCER, Article, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, Odds Ratio, medicine, Humans, Genetic Predisposition to Disease, 030212 general & internal medicine, skin and connective tissue diseases, CHEK2, Aged, Genetic testing, Genetic association, Aged, 80 and over, Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17], medicine.diagnostic_test, MUTATIONS, business.industry, Age Factors, Genetic Variation, Sequence Analysis, DNA, General Medicine, Odds ratio, Middle Aged, BRCA1, medicine.disease, 3. Good health, Logistic Models, Female, business
Abstract

BACKGROUNDGenetic testing for breast cancer susceptibility is widely used, but for many genes,evidence of an association with breast cancer is weak, underlying risk estimatesare imprecise, and reliable subtype-specific risk estimates are lacking.METHODSWe used a panel of 34 putative susceptibility genes to perform sequencing onsamples from 60,466 women with breast cancer and 53,461 controls. In separateanalyses for protein-truncating variants and rare missense variants in these genes,we estimated odds ratios for breast cancer overall and tumor subtypes. We evaluatedmissense-variant associations according to domain and classification of pathogenicity.RESULTSProtein-truncating variants in 5 genes (ATM, BRCA1, BRCA2, CHEK2, and PALB2)were associated with a risk of breast cancer overall with a P value of less than0.0001. Protein-truncating variants in 4 other genes (BARD1, RAD51C, RAD51D,and TP53) were associated with a risk of breast cancer overall with a P value ofless than 0.05 and a Bayesian false-discovery probability of less than 0.05. Forprotein-truncating variants in 19 of the remaining 25 genes, the upper limit ofthe 95% confidence interval of the odds ratio for breast cancer overall was lessthan 2.0. For protein-truncating variants in ATM and CHEK2, odds ratios werehigher for estrogen receptor (ER)–positive disease than for ER-negative disease;for protein-truncating variants in BARD1, BRCA1, BRCA2, PALB2, RAD51C, andRAD51D, odds ratios were higher for ER-negative disease than for ER-positivedisease. Rare missense variants (in aggregate) in ATM, CHEK2, and TP53 wereassociated with a risk of breast cancer overall with a P value of less than 0.001.For BRCA1, BRCA2, and TP53, missense variants (in aggregate) that would be classified as pathogenic according to standard criteria were associated with a riskof breast cancer overall, with the risk being similar to that of protein-truncatingvariants.CONCLUSIONSThe results of this study define the genes that are most clinically useful for inclusion on panels for the prediction of breast cancer risk, as well as provide estimatesof the risks associated with protein-truncating variants, to guide genetic counseling. (Funded by European Union Horizon 2020 programs and others.)

Published
2021

32. Breast cancer risks associated with missense variants in breast cancer susceptibility genes

Author

Dorling, L., Carvalho, S., Allen, J., Parsons, M.T., Fortuno, C., Gonzalez-Neira, A., Heijl, S.M., Adank, M.A., Ahearn, T.U., Andrulis, I.L., Auvinen, P., Becher, H., Beckmann, M.W., Behrens, S., Bermisheva, M., Bogdanova, N.V., Bojesen, S.E., Bolla, M.K., Bremer, M., Briceno, I., Camp, N.J., Campbell, A., Castelao, J.E., Chang-Claude, J., Chanock, S.J., Chenevix-Trench, G., Collee, J.M., Czene, K., Dennis, J., Dork, T., Eriksson, M., Evans, D.G., Fasching, P.A., Figueroa, J., Flyger, H., Gabrielson, M., Gago-Dominguez, M., Garcia-Closas, M., Giles, G.G., Glendon, G., Guenel, P., Gundert, M., Hadjisavvas, A., Hahnen, E., Hall, P., Hamann, U., Harkness, E.F., Hartman, M., Hogervorst, F.B.L., Hollestelle, A., Hoppe, R., Howell, A., Jakubowska, A., Jung, A., Khusnutdinova, E., Kim, S.W., Ko, Y.D., Kristensen, V.N., Lakeman, I.M.M., Li, J.M., Lindblom, A., Loizidou, M.A., Lophatananon, A., Lubinski, J., Luccarini, C., Madsen, M.J., Mannermaa, A., Manoochehri, M., Margolin, S., Mavroudis, D., Milne, R.L., Taib, N.A.M., Muir, K., Nevanlinna, H., Newman, W.G., Oosterwijk, J.C., Park, S.K., Peterlongo, P., Radice, P., Saloustros, E., Sawyer, E.J., Schmutzler, R.K., Shah, M.T., Sim, X., Southey, M.C., Surowy, H., Suvanto, M., Tomlinson, I., Torres, D., Truong, T., Asperen, C.J. van, Waltes, R., Wang, Q., Yang, X.H.R., Pharoah, P.D.P., Schmidt, M.K., Benitez, J., Vroling, B., Dunning, A.M., Teo, S.H., Kvist, A., Hoya, M. de la, Devilee, P., Spurdle, A.B., Vreeswijk, M.P.G., Easton, D.F., NBCS Collaborators, KConFab Investigators, SGBCC Investigators, Clinical Genetics, Medical Oncology, Apollo - University of Cambridge Repository, Dennis, Joe [0000-0003-4591-1214], Pharoah, Paul [0000-0001-8494-732X], Easton, Douglas [0000-0003-2444-3247], Targeted Gynaecologic Oncology (TARGON), Damage and Repair in Cancer Development and Cancer Treatment (DARE), University of Helsinki, Clinicum, Department of Obstetrics and Gynecology, HUS Gynecology and Obstetrics, Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Wellcome Trust, WT: 633784, v203477/Z/16/Z, Horizon 2020 Framework Programme, H2020, Cancer Research UK, CRUK: C1287/A16563, The sequencing and analysis for this project was funded by the European Union’s Horizon 2020 Research and Innovation Programme (BRIDGES: grant number 634935) and the Wellcome Trust [grant no: v203477/Z/16/Z]. BCAC co-ordination was additionally funded by the European Union’s Horizon 2020 Research and Innovation Programme (BRIDGES: grant number 634935, BCAST: grant number 633784) and by Cancer Research UK [C1287/A16563]. Study specific funding is given in the Additional Note., and HAL UVSQ, Équipe

Subjects
Mutation, Missense, Breast Neoplasms, [SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics, Breast Neoplasms/genetics, Breast Cancer, Genetic Epidemiology, Missense Variants, Risk Prediction, CLASSIFICATION, Breast cancer, Missense variants, SDG 3 - Good Health and Well-being, 3123 Gynaecology and paediatrics, SEQUENCE VARIANTS, Genetics, Humans, Genetic Predisposition to Disease, Genetic epidemiology, ddc:610, skin and connective tissue diseases, Molecular Biology, Genetics (clinical), MUTATIONS, Research, UNKNOWN CLINICAL-SIGNIFICANCE, 1184 Genetics, developmental biology, physiology, FRAMEWORK, BRCA1, Risk prediction, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, SUBSTITUTIONS, Case-Control Studies, Mutation, Molecular Medicine, Female, Missense, PATHOGENICITY
Abstract

Background Protein truncating variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2 are associated with increased breast cancer risk, but risks associated with missense variants in these genes are uncertain. Methods We analyzed data on 59,639 breast cancer cases and 53,165 controls from studies participating in the Breast Cancer Association Consortium BRIDGES project. We sampled training (80%) and validation (20%) sets to analyze rare missense variants in ATM (1146 training variants), BRCA1 (644), BRCA2 (1425), CHEK2 (325), and PALB2 (472). We evaluated breast cancer risks according to five in silico prediction-of-deleteriousness algorithms, functional protein domain, and frequency, using logistic regression models and also mixture models in which a subset of variants was assumed to be risk-associated. Results The most predictive in silico algorithms were Helix (BRCA1, BRCA2 and CHEK2) and CADD (ATM). Increased risks appeared restricted to functional protein domains for ATM (FAT and PIK domains) and BRCA1 (RING and BRCT domains). For ATM, BRCA1, and BRCA2, data were compatible with small subsets (approximately 7%, 2%, and 0.6%, respectively) of rare missense variants giving similar risk to those of protein truncating variants in the same gene. For CHEK2, data were more consistent with a large fraction (approximately 60%) of rare missense variants giving a lower risk (OR 1.75, 95% CI (1.47–2.08)) than CHEK2 protein truncating variants. There was little evidence for an association with risk for missense variants in PALB2. The best fitting models were well calibrated in the validation set. Conclusions These results will inform risk prediction models and the selection of candidate variants for functional assays and could contribute to the clinical reporting of gene panel testing for breast cancer susceptibility.

Published
2022

33. A Genome-Wide Gene-Based Gene-Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author

Wang, X, Chen, H, Kapoor, PM, Su, Y-R, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Michailidou, K, Pharoah, PDP, Hopper, JL, Southey, MC, Koutros, S, Freeman, LEB, Stone, J, Rennert, G, Shibli, R, Murphy, RA, Aronson, K, Guenel, P, Truong, T, Teras, LR, Hodge, JM, Canzian, F, Kaaks, R, Brenner, H, Arndt, V, Hoppe, R, Lo, W-Y, Behrens, S, Mannermaa, A, Kosma, V-M, Jung, A, Becher, H, Glies, GG, Haiman, CA, Maskarinec, G, Scott, C, Winham, S, Simard, J, Goldberg, MS, Zheng, W, Long, J, Troester, MA, Love, MI, Peng, C, Tamimi, R, Eliassen, H, Garcia-Closas, M, Figueroa, J, Ahearn, T, Yang, R, Evans, DG, Howell, A, Hall, P, Czene, K, Wolk, A, Sandler, DP, Taylor, JA, Swerdlow, AJ, Orr, N, Lacey, JV, Wang, S, Olsson, H, Easton, DF, Milne, RL, Hsu, L, Kraft, P, Chang-Claude, J, Lindstroem, S, Wang, X, Chen, H, Kapoor, PM, Su, Y-R, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Michailidou, K, Pharoah, PDP, Hopper, JL, Southey, MC, Koutros, S, Freeman, LEB, Stone, J, Rennert, G, Shibli, R, Murphy, RA, Aronson, K, Guenel, P, Truong, T, Teras, LR, Hodge, JM, Canzian, F, Kaaks, R, Brenner, H, Arndt, V, Hoppe, R, Lo, W-Y, Behrens, S, Mannermaa, A, Kosma, V-M, Jung, A, Becher, H, Glies, GG, Haiman, CA, Maskarinec, G, Scott, C, Winham, S, Simard, J, Goldberg, MS, Zheng, W, Long, J, Troester, MA, Love, MI, Peng, C, Tamimi, R, Eliassen, H, Garcia-Closas, M, Figueroa, J, Ahearn, T, Yang, R, Evans, DG, Howell, A, Hall, P, Czene, K, Wolk, A, Sandler, DP, Taylor, JA, Swerdlow, AJ, Orr, N, Lacey, JV, Wang, S, Olsson, H, Easton, DF, Milne, RL, Hsu, L, Kraft, P, Chang-Claude, J, and Lindstroem, S

Abstract

BACKGROUND: Genome-wide association studies (GWAS) have identified more than 200 susceptibility loci for breast cancer, but these variants explain less than a fifth of the disease risk. Although gene-environment interactions have been proposed to account for some of the remaining heritability, few studies have empirically assessed this. METHODS: We obtained genotype and risk factor data from 46,060 cases and 47,929 controls of European ancestry from population-based studies within the Breast Cancer Association Consortium (BCAC). We built gene expression prediction models for 4,864 genes with a significant (P<0.01) heritable component using the transcriptome and genotype data from the Genotype-Tissue Expression (GTEx) project. We leveraged predicted gene expression information to investigate the interactions between gene-centric genetic variation and 14 established risk factors in association with breast cancer risk, using a mixed-effects score test. RESULTS: After adjusting for number of tests using Bonferroni correction, no interaction remained statistically significant. The strongest interaction observed was between the predicted expression of the C13orf45 gene and age at first full-term pregnancy (PGXE=4.44×10-6). CONCLUSION: In this transcriptome-informed genome-wide gene-environment interaction study of breast cancer, we found no strong support for the role of gene expression in modifying the associations between established risk factors and breast cancer risk. IMPACT: Our study suggests a limited role of gene-environment interactions in breast cancer risk.

Published
2022

34. Genome-wide interaction analysis of menopausal hormone therapy use and breast cancer risk among 62,370 women

Author

Wang, X, Kapoor, PM, Auer, PL, Dennis, J, Dunning, AM, Wang, Q, Lush, M, Michailidou, K, Bolla, MK, Aronson, KJ, Murphy, RA, Brooks-Wilson, A, Lee, DG, Guenel, P, Truong, T, Mulot, C, Teras, LR, Patel, A, Dossus, L, Kaaks, R, Hoppe, R, Bruening, T, Hamann, U, Czene, K, Gabrielson, M, Hall, P, Eriksson, M, Jung, A, Becher, H, Couch, FJ, Larson, NL, Olson, JE, Ruddy, KJ, Giles, GG, MacInnis, RJ, Southey, MC, Le Marchand, L, Wilkens, LR, Haiman, CA, Olsson, H, Augustinsson, A, Krueger, U, Wagner, P, Scott, C, Winham, SJ, Vachon, CM, Perou, CM, Olshan, AF, Troester, MA, Hunter, DJ, Eliassen, HA, Tamimi, RM, Brantley, K, Andrulis, IL, Figueroa, J, Chanock, SJ, Ahearn, TU, Evans, GD, Newman, WG, VanVeen, EM, Howell, A, Wolk, A, Hakansson, N, Ziogas, A, Jones, ME, Orr, N, Schoemaker, MJ, Swerdlow, AJ, Kitahara, CM, Linet, M, Prentice, RL, Easton, DF, Milne, RL, Kraft, P, Chang-Claude, J, Lindstrom, S, Wang, X, Kapoor, PM, Auer, PL, Dennis, J, Dunning, AM, Wang, Q, Lush, M, Michailidou, K, Bolla, MK, Aronson, KJ, Murphy, RA, Brooks-Wilson, A, Lee, DG, Guenel, P, Truong, T, Mulot, C, Teras, LR, Patel, A, Dossus, L, Kaaks, R, Hoppe, R, Bruening, T, Hamann, U, Czene, K, Gabrielson, M, Hall, P, Eriksson, M, Jung, A, Becher, H, Couch, FJ, Larson, NL, Olson, JE, Ruddy, KJ, Giles, GG, MacInnis, RJ, Southey, MC, Le Marchand, L, Wilkens, LR, Haiman, CA, Olsson, H, Augustinsson, A, Krueger, U, Wagner, P, Scott, C, Winham, SJ, Vachon, CM, Perou, CM, Olshan, AF, Troester, MA, Hunter, DJ, Eliassen, HA, Tamimi, RM, Brantley, K, Andrulis, IL, Figueroa, J, Chanock, SJ, Ahearn, TU, Evans, GD, Newman, WG, VanVeen, EM, Howell, A, Wolk, A, Hakansson, N, Ziogas, A, Jones, ME, Orr, N, Schoemaker, MJ, Swerdlow, AJ, Kitahara, CM, Linet, M, Prentice, RL, Easton, DF, Milne, RL, Kraft, P, Chang-Claude, J, and Lindstrom, S

Abstract

Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values < 5 × 10-8 as genome-wide significant, and p-values < 1 × 10-5 as suggestive. Linkage disequilibrium (LD)-based clumping was performed to identify independent candidate variants. None of the 9.7 million genetic variants tested for interactions with MHT use reached genome-wide significance. Only 213 variants, representing 18 independent loci, had p-values < 1 × 105. The strongest evidence was found for rs4674019 (p-value = 2.27 × 10-7), which showed genome-wide significant interaction (p-value = 3.8 × 10-8) with current MHT use when analysis was restricted to population-based studies only. Limiting the analyses to combined estrogen-progesterone MHT use only or to estrogen receptor (ER) positive cases did not identify any genome-wide significant evidence of interactions. In this large genome-wide SNP-MHT interaction study of breast cancer, we found no strong support for common genetic variants modifying the effect of MHT on breast cancer risk. These results suggest that common genetic variation has limited impact on the observed MHT-breast cancer risk association.

Published
2022

35. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author

Ahearn, TU, Zhang, H, Michailidou, K, Milne, RL, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baten, A, Becher, H, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Brenner, H, Brooks-Wilson, A, Bruening, T, Burwinkel, B, Buys, SS, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Collee, JM, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dork, T, Dwek, M, Eccles, DM, Evans, DG, Fasching, PA, Figueroa, J, Floris, G, Gago-Dominguez, M, Gapstur, SM, Garcia-Saenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Guenel, P, Haiman, CA, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Jakimovska, M, Jakubowska, A, John, EM, Jones, ME, Jung, A, Kaaks, R, Kauppila, S, Keeman, R, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Koutros, S, Kristensen, VN, Kruger, U, Kubelka-Sabit, K, Kurian, AW, Kyriacou, K, Lambrechts, D, Lee, DG, Lindblom, A, Linet, M, Lissowska, J, Llaneza, A, Lo, W-Y, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, McLean, C, Meindl, A, Menon, U, Nevanlinna, H, Newman, WG, Nodora, J, Offit, K, Olsson, H, Orr, N, Park-Simon, T-W, Patel, A, Peto, J, Pita, G, Plaseska-Karanfilska, D, Prentice, R, Punie, K, Pylkas, K, Radice, P, Rennert, G, Romero, A, Ruediger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Schmutzler, RK, Schoemaker, MJ, Schottker, B, Sherman, ME, Shu, X-O, Smichkoska, S, Southey, MC, Spinelli, JJ, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Teras, LR, Terry, MB, Torres, D, Troester, MA, Vachon, CM, van Deurzen, CHM, van Veen, EM, Wagner, P, Weinberg, CR, Wendt, C, Wesseling, J, Winqvist, R, Wolk, A, Yang, XR, Zheng, W, Couch, FJ, Simard, J, Kraft, P, Easton, DF, Pharoah, PDP, Schmidt, MK, Garcia-Closas, M, Chatterjee, N, Ahearn, TU, Zhang, H, Michailidou, K, Milne, RL, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baten, A, Becher, H, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Brenner, H, Brooks-Wilson, A, Bruening, T, Burwinkel, B, Buys, SS, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Collee, JM, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dork, T, Dwek, M, Eccles, DM, Evans, DG, Fasching, PA, Figueroa, J, Floris, G, Gago-Dominguez, M, Gapstur, SM, Garcia-Saenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Guenel, P, Haiman, CA, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Jakimovska, M, Jakubowska, A, John, EM, Jones, ME, Jung, A, Kaaks, R, Kauppila, S, Keeman, R, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Koutros, S, Kristensen, VN, Kruger, U, Kubelka-Sabit, K, Kurian, AW, Kyriacou, K, Lambrechts, D, Lee, DG, Lindblom, A, Linet, M, Lissowska, J, Llaneza, A, Lo, W-Y, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, McLean, C, Meindl, A, Menon, U, Nevanlinna, H, Newman, WG, Nodora, J, Offit, K, Olsson, H, Orr, N, Park-Simon, T-W, Patel, A, Peto, J, Pita, G, Plaseska-Karanfilska, D, Prentice, R, Punie, K, Pylkas, K, Radice, P, Rennert, G, Romero, A, Ruediger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Schmutzler, RK, Schoemaker, MJ, Schottker, B, Sherman, ME, Shu, X-O, Smichkoska, S, Southey, MC, Spinelli, JJ, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Teras, LR, Terry, MB, Torres, D, Troester, MA, Vachon, CM, van Deurzen, CHM, van Veen, EM, Wagner, P, Weinberg, CR, Wendt, C, Wesseling, J, Winqvist, R, Wolk, A, Yang, XR, Zheng, W, Couch, FJ, Simard, J, Kraft, P, Easton, DF, Pharoah, PDP, Schmidt, MK, Garcia-Closas, M, and Chatterjee, N

Abstract

BACKGROUND: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. METHODS: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. RESULTS: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. CONCLUSION: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.

Published
2022

36. Breast cancer risks associated with missense variants in breast cancer susceptibility genes

Author

Dorling, L, Carvalho, S, Allen, J, Parsons, MT, Fortuno, C, Gonzalez-Neira, A, Heijl, SM, Adank, MA, Ahearn, TU, Andrulis, IL, Auvinen, P, Becher, H, Beckmann, MW, Behrens, S, Bermisheva, M, Bogdanova, NV, Bojesen, SE, Bolla, MK, Bremer, M, Briceno, I, Camp, NJ, Campbell, A, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Collee, JM, Czene, K, Dennis, J, Dork, T, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Flyger, H, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Giles, GG, Glendon, G, Guenel, P, Gundert, M, Hadjisavvas, A, Hahnen, E, Hall, P, Hamann, U, Harkness, EF, Hartman, M, Hogervorst, FBL, Hollestelle, A, Hoppe, R, Howell, A, Jakubowska, A, Jung, A, Khusnutdinova, E, Kim, S-W, Ko, Y-D, Kristensen, VN, Lakeman, IMM, Li, J, Lindblom, A, Loizidou, MA, Lophatananon, A, Lubinski, J, Luccarini, C, Madsen, MJ, Mannermaa, A, Manoochehri, M, Margolin, S, Mavroudis, D, Milne, RL, Mohd Taib, NA, Muir, K, Nevanlinna, H, Newman, WG, Oosterwijk, JC, Park, SK, Peterlongo, P, Radice, P, Saloustros, E, Sawyer, EJ, Schmutzler, RK, Shah, M, Sim, X, Southey, MC, Surowy, H, Suvanto, M, Tomlinson, I, Torres, D, Truong, T, van Asperen, CJ, Waltes, R, Wang, Q, Yang, XR, Pharoah, PDP, Schmidt, MK, Benitez, J, Vroling, B, Dunning, AM, Teo, SH, Kvist, A, de la Hoya, M, Devilee, P, Spurdle, AB, Vreeswijk, MPG, Easton, DF, Dorling, L, Carvalho, S, Allen, J, Parsons, MT, Fortuno, C, Gonzalez-Neira, A, Heijl, SM, Adank, MA, Ahearn, TU, Andrulis, IL, Auvinen, P, Becher, H, Beckmann, MW, Behrens, S, Bermisheva, M, Bogdanova, NV, Bojesen, SE, Bolla, MK, Bremer, M, Briceno, I, Camp, NJ, Campbell, A, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Collee, JM, Czene, K, Dennis, J, Dork, T, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Flyger, H, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Giles, GG, Glendon, G, Guenel, P, Gundert, M, Hadjisavvas, A, Hahnen, E, Hall, P, Hamann, U, Harkness, EF, Hartman, M, Hogervorst, FBL, Hollestelle, A, Hoppe, R, Howell, A, Jakubowska, A, Jung, A, Khusnutdinova, E, Kim, S-W, Ko, Y-D, Kristensen, VN, Lakeman, IMM, Li, J, Lindblom, A, Loizidou, MA, Lophatananon, A, Lubinski, J, Luccarini, C, Madsen, MJ, Mannermaa, A, Manoochehri, M, Margolin, S, Mavroudis, D, Milne, RL, Mohd Taib, NA, Muir, K, Nevanlinna, H, Newman, WG, Oosterwijk, JC, Park, SK, Peterlongo, P, Radice, P, Saloustros, E, Sawyer, EJ, Schmutzler, RK, Shah, M, Sim, X, Southey, MC, Surowy, H, Suvanto, M, Tomlinson, I, Torres, D, Truong, T, van Asperen, CJ, Waltes, R, Wang, Q, Yang, XR, Pharoah, PDP, Schmidt, MK, Benitez, J, Vroling, B, Dunning, AM, Teo, SH, Kvist, A, de la Hoya, M, Devilee, P, Spurdle, AB, Vreeswijk, MPG, and Easton, DF

Abstract

BACKGROUND: Protein truncating variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2 are associated with increased breast cancer risk, but risks associated with missense variants in these genes are uncertain. METHODS: We analyzed data on 59,639 breast cancer cases and 53,165 controls from studies participating in the Breast Cancer Association Consortium BRIDGES project. We sampled training (80%) and validation (20%) sets to analyze rare missense variants in ATM (1146 training variants), BRCA1 (644), BRCA2 (1425), CHEK2 (325), and PALB2 (472). We evaluated breast cancer risks according to five in silico prediction-of-deleteriousness algorithms, functional protein domain, and frequency, using logistic regression models and also mixture models in which a subset of variants was assumed to be risk-associated. RESULTS: The most predictive in silico algorithms were Helix (BRCA1, BRCA2 and CHEK2) and CADD (ATM). Increased risks appeared restricted to functional protein domains for ATM (FAT and PIK domains) and BRCA1 (RING and BRCT domains). For ATM, BRCA1, and BRCA2, data were compatible with small subsets (approximately 7%, 2%, and 0.6%, respectively) of rare missense variants giving similar risk to those of protein truncating variants in the same gene. For CHEK2, data were more consistent with a large fraction (approximately 60%) of rare missense variants giving a lower risk (OR 1.75, 95% CI (1.47-2.08)) than CHEK2 protein truncating variants. There was little evidence for an association with risk for missense variants in PALB2. The best fitting models were well calibrated in the validation set. CONCLUSIONS: These results will inform risk prediction models and the selection of candidate variants for functional assays and could contribute to the clinical reporting of gene panel testing for breast cancer susceptibility.

Published
2022

37. Distinct Reproductive Risk Profiles for Intrinsic-Like Breast Cancer Subtypes: Pooled Analysis of Population-Based Studies

Author

Jung, AY, Ahearn, TU, Behrens, S, Middha, P, Bolla, MK, Wang, Q, Arndt, V, Aronson, KJ, Augustinsson, A, Freeman, LEB, Becher, H, Brenner, H, Canzian, F, Carey, LA, Consortium, C, Czene, K, Eliassen, AH, Eriksson, M, Evans, DG, Figueroa, JD, Fritschi, L, Gabrielson, M, Giles, GG, Guenel, P, Hadjisavvas, A, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hoppe, R, Hopper, JL, Howell, A, Hunter, DJ, Huesing, A, Kaaks, R, Kosma, V-M, Koutros, S, Kraft, P, Lacey, J, Le Marchand, L, Lissowska, J, Loizidou, MA, Mannermaa, A, Maurer, T, Murphy, RA, Olshan, AF, Olsson, H, Patel, A, Perou, CM, Rennert, G, Shibli, R, Shu, X-O, Southey, MC, Stone, J, Tamimi, RM, Teras, LR, Troester, MA, Truong, T, Vachon, CM, Wang, SS, Wolk, A, Wu, AH, Yang, XR, Zheng, W, Dunning, AM, Pharoah, PDP, Easton, DF, Milne, RL, Chatterjee, N, Schmidt, MK, Garcia-Closas, M, Chang-Claude, J, Jung, AY, Ahearn, TU, Behrens, S, Middha, P, Bolla, MK, Wang, Q, Arndt, V, Aronson, KJ, Augustinsson, A, Freeman, LEB, Becher, H, Brenner, H, Canzian, F, Carey, LA, Consortium, C, Czene, K, Eliassen, AH, Eriksson, M, Evans, DG, Figueroa, JD, Fritschi, L, Gabrielson, M, Giles, GG, Guenel, P, Hadjisavvas, A, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hoppe, R, Hopper, JL, Howell, A, Hunter, DJ, Huesing, A, Kaaks, R, Kosma, V-M, Koutros, S, Kraft, P, Lacey, J, Le Marchand, L, Lissowska, J, Loizidou, MA, Mannermaa, A, Maurer, T, Murphy, RA, Olshan, AF, Olsson, H, Patel, A, Perou, CM, Rennert, G, Shibli, R, Shu, X-O, Southey, MC, Stone, J, Tamimi, RM, Teras, LR, Troester, MA, Truong, T, Vachon, CM, Wang, SS, Wolk, A, Wu, AH, Yang, XR, Zheng, W, Dunning, AM, Pharoah, PDP, Easton, DF, Milne, RL, Chatterjee, N, Schmidt, MK, Garcia-Closas, M, and Chang-Claude, J

Abstract

BACKGROUND: Reproductive factors have been shown to be differentially associated with risk of estrogen receptor (ER)-positive and ER-negative breast cancer. However, their associations with intrinsic-like subtypes are less clear. METHODS: Analyses included up to 23 353 cases and 71 072 controls pooled from 31 population-based case-control or cohort studies in the Breast Cancer Association Consortium across 16 countries on 4 continents. Polytomous logistic regression was used to estimate the association between reproductive factors and risk of breast cancer by intrinsic-like subtypes (luminal A-like, luminal B-like, luminal B-HER2-like, HER2-enriched-like, and triple-negative breast cancer) and by invasiveness. All statistical tests were 2-sided. RESULTS: Compared with nulliparous women, parous women had a lower risk of luminal A-like, luminal B-like, luminal B-HER2-like, and HER2-enriched-like disease. This association was apparent only after approximately 10 years since last birth and became stronger with increasing time (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.49 to 0.71; and OR = 0.36, 95% CI = 0.28 to 0.46 for multiparous women with luminal A-like tumors 20 to less than 25 years after last birth and 45 to less than 50 years after last birth, respectively). In contrast, parous women had a higher risk of triple-negative breast cancer right after their last birth (for multiparous women: OR = 3.12, 95% CI = 2.02 to 4.83) that was attenuated with time but persisted for decades (OR = 1.03, 95% CI = 0.79 to 1.34, for multiparous women 25 to less than 30 years after last birth). Older age at first birth (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) and breastfeeding (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) were associated with lower risk of triple-negative breast cancer but not with other disease subtypes. Younger age at menarche was associated with higher risk of all

Published
2022

38. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ∼200,000 patients

Author

Giardiello, D, Hooning, MJ, Hauptmann, M, Keeman, R, Heemskerk-Gerritsen, BAM, Becher, H, Blomqvist, C, Bojesen, SE, Bolla, MK, Camp, NJ, Czene, K, Devilee, P, Eccles, DM, Fasching, PA, Figueroa, JD, Flyger, H, Garcia-Closas, M, Haiman, CA, Hamann, U, Hopper, JL, Jakubowska, A, Leeuwen, FE, Lindblom, A, Lubinski, J, Margolin, S, Martinez, ME, Nevanlinna, H, Nevelsteen, I, Pelders, S, Pharoah, PDP, Siesling, S, Southey, MC, van der Hout, AH, van Hest, LP, Chang-Claude, J, Hall, P, Easton, DF, Steyerberg, EW, Schmidt, MK, Giardiello, D, Hooning, MJ, Hauptmann, M, Keeman, R, Heemskerk-Gerritsen, BAM, Becher, H, Blomqvist, C, Bojesen, SE, Bolla, MK, Camp, NJ, Czene, K, Devilee, P, Eccles, DM, Fasching, PA, Figueroa, JD, Flyger, H, Garcia-Closas, M, Haiman, CA, Hamann, U, Hopper, JL, Jakubowska, A, Leeuwen, FE, Lindblom, A, Lubinski, J, Margolin, S, Martinez, ME, Nevanlinna, H, Nevelsteen, I, Pelders, S, Pharoah, PDP, Siesling, S, Southey, MC, van der Hout, AH, van Hest, LP, Chang-Claude, J, Hall, P, Easton, DF, Steyerberg, EW, and Schmidt, MK

Abstract

BACKGROUND: Prediction of contralateral breast cancer (CBC) risk is challenging due to moderate performances of the known risk factors. We aimed to improve our previous risk prediction model (PredictCBC) by updated follow-up and including additional risk factors. METHODS: We included data from 207,510 invasive breast cancer patients participating in 23 studies. In total, 8225 CBC events occurred over a median follow-up of 10.2 years. In addition to the previously included risk factors, PredictCBC-2.0 included CHEK2 c.1100delC, a 313 variant polygenic risk score (PRS-313), body mass index (BMI), and parity. Fine and Gray regression was used to fit the model. Calibration and a time-dependent area under the curve (AUC) at 5 and 10 years were assessed to determine the performance of the models. Decision curve analysis was performed to evaluate the net benefit of PredictCBC-2.0 and previous PredictCBC models. RESULTS: The discrimination of PredictCBC-2.0 at 10 years was higher than PredictCBC with an AUC of 0.65 (95% prediction intervals (PI) 0.56-0.74) versus 0.63 (95%PI 0.54-0.71). PredictCBC-2.0 was well calibrated with an observed/expected ratio at 10 years of 0.92 (95%PI 0.34-2.54). Decision curve analysis for contralateral preventive mastectomy (CPM) showed the potential clinical utility of PredictCBC-2.0 between thresholds of 4 and 12% 10-year CBC risk for BRCA1/2 mutation carriers and non-carriers. CONCLUSIONS: Additional genetic information beyond BRCA1/2 germline mutations improved CBC risk prediction and might help tailor clinical decision-making toward CPM or alternative preventive strategies. Identifying patients who benefit from CPM, especially in the general breast cancer population, remains challenging.

Published
2022

39. Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study

Author

Dixon-Suen, SC, Lewis, SJ, Martin, RM, English, DR, Boyle, T, Giles, GG, Michailidou, K, Bolla, MK, Wang, Q, Dennis, J, Lush, M, Ahearn, TU, Ambrosone, CB, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Augustinsson, A, Auvinen, P, Beane Freeman, LE, Becher, H, Beckmann, MW, Behrens, S, Bermisheva, M, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Brenner, H, Bruening, T, Buys, SS, Camp, NJ, Campa, D, Canzian, F, Castelao, JE, Cessna, MH, Chang-Claude, J, Chanock, SJ, Clarke, CL, Conroy, DM, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Doerk, T, Dwek, M, Eccles, DM, Eliassen, AH, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Fletcher, O, Flyger, H, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Garcia-Saenz, JA, Goldberg, MS, Guenel, P, Guendert, M, Hahnen, E, Haiman, CA, Haeberle, L, Hakansson, N, Hall, P, Hamann, U, Hart, SN, Harvie, M, Hillemanns, P, Hollestelle, A, Hooning, MJ, Hoppe, R, Hopper, J, Howell, A, Hunter, DJ, Jakubowska, A, Janni, W, John, EM, Jung, A, Kaaks, R, Keeman, R, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Kubelka-Sabit, K, Kurian, AW, Lacey, J, Lambrechts, D, Le Marchand, L, Lindblom, A, Loibl, S, Lubinski, J, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, Mavroudis, D, Menon, U, Mulligan, AM, Murphy, RA, Nevanlinna, H, Nevelsteen, I, Newman, WG, Offit, K, Olshan, AF, Olsson, H, Orr, N, Patel, A, Peto, J, Plaseska-Karanfilska, D, Presneau, N, Rack, B, Radice, P, Rees-Punia, E, Rennert, G, Rennert, HS, Romero, A, Saloustros, E, Sandler, DP, Schmidt, MK, Schmutzler, RK, Schwentner, L, Scott, C, Shah, M, Shu, X-O, Simard, J, Southey, MC, Stone, J, Surowy, H, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Terry, MB, Tollenaar, RAEM, Troester, MA, Truong, T, Untch, M, Vachon, CM, Joseph, V, Wappenschmidt, B, Weinberg, CR, Wolk, A, Yannoukakos, D, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, PDP, Easton, DF, Milne, RL, Lynch, BM, Dixon-Suen, SC, Lewis, SJ, Martin, RM, English, DR, Boyle, T, Giles, GG, Michailidou, K, Bolla, MK, Wang, Q, Dennis, J, Lush, M, Ahearn, TU, Ambrosone, CB, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Augustinsson, A, Auvinen, P, Beane Freeman, LE, Becher, H, Beckmann, MW, Behrens, S, Bermisheva, M, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Brenner, H, Bruening, T, Buys, SS, Camp, NJ, Campa, D, Canzian, F, Castelao, JE, Cessna, MH, Chang-Claude, J, Chanock, SJ, Clarke, CL, Conroy, DM, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Doerk, T, Dwek, M, Eccles, DM, Eliassen, AH, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Fletcher, O, Flyger, H, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Garcia-Saenz, JA, Goldberg, MS, Guenel, P, Guendert, M, Hahnen, E, Haiman, CA, Haeberle, L, Hakansson, N, Hall, P, Hamann, U, Hart, SN, Harvie, M, Hillemanns, P, Hollestelle, A, Hooning, MJ, Hoppe, R, Hopper, J, Howell, A, Hunter, DJ, Jakubowska, A, Janni, W, John, EM, Jung, A, Kaaks, R, Keeman, R, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Kubelka-Sabit, K, Kurian, AW, Lacey, J, Lambrechts, D, Le Marchand, L, Lindblom, A, Loibl, S, Lubinski, J, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, Mavroudis, D, Menon, U, Mulligan, AM, Murphy, RA, Nevanlinna, H, Nevelsteen, I, Newman, WG, Offit, K, Olshan, AF, Olsson, H, Orr, N, Patel, A, Peto, J, Plaseska-Karanfilska, D, Presneau, N, Rack, B, Radice, P, Rees-Punia, E, Rennert, G, Rennert, HS, Romero, A, Saloustros, E, Sandler, DP, Schmidt, MK, Schmutzler, RK, Schwentner, L, Scott, C, Shah, M, Shu, X-O, Simard, J, Southey, MC, Stone, J, Surowy, H, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Terry, MB, Tollenaar, RAEM, Troester, MA, Truong, T, Untch, M, Vachon, CM, Joseph, V, Wappenschmidt, B, Weinberg, CR, Wolk, A, Yannoukakos, D, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, PDP, Easton, DF, Milne, RL, and Lynch, BM

Abstract

OBJECTIVES: Physical inactivity and sedentary behaviour are associated with higher breast cancer risk in observational studies, but ascribing causality is difficult. Mendelian randomisation (MR) assesses causality by simulating randomised trial groups using genotype. We assessed whether lifelong physical activity or sedentary time, assessed using genotype, may be causally associated with breast cancer risk overall, pre/post-menopause, and by case-groups defined by tumour characteristics. METHODS: We performed two-sample inverse-variance-weighted MR using individual-level Breast Cancer Association Consortium case-control data from 130 957 European-ancestry women (69 838 invasive cases), and published UK Biobank data (n=91 105-377 234). Genetic instruments were single nucleotide polymorphisms (SNPs) associated in UK Biobank with wrist-worn accelerometer-measured overall physical activity (nsnps=5) or sedentary time (nsnps=6), or accelerometer-measured (nsnps=1) or self-reported (nsnps=5) vigorous physical activity. RESULTS: Greater genetically-predicted overall activity was associated with lower breast cancer overall risk (OR=0.59; 95% confidence interval (CI) 0.42 to 0.83 per-standard deviation (SD;~8 milligravities acceleration)) and for most case-groups. Genetically-predicted vigorous activity was associated with lower risk of pre/perimenopausal breast cancer (OR=0.62; 95% CI 0.45 to 0.87,≥3 vs. 0 self-reported days/week), with consistent estimates for most case-groups. Greater genetically-predicted sedentary time was associated with higher hormone-receptor-negative tumour risk (OR=1.77; 95% CI 1.07 to 2.92 per-SD (~7% time spent sedentary)), with elevated estimates for most case-groups. Results were robust to sensitivity analyses examining pleiotropy (including weighted-median-MR, MR-Egger). CONCLUSION: Our study provides strong evidence that greater overall physical activity, greater vigorous activity, and lower sedentary time are likely to reduce breast cancer r

Published
2022

40. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ∼ 200,000 patients (vol 24, 69, 2022)

Author

Giardiello, D, Hooning, MJ, Hauptmann, M, Keeman, R, Heemskerk-Gerritsen, BAM, Becher, H, Blomqvist, C, Bojesen, SE, Bolla, MK, Camp, NJ, Czene, K, Devilee, P, Eccles, DM, Fasching, PA, Figueroa, JD, Flyger, H, Garcia-Closas, M, Haiman, CA, Hamann, U, Hopper, JL, Jakubowska, A, Leeuwen, FE, Lindblom, A, Lubinski, J, Margolin, S, Martinez, ME, Nevanlinna, H, Nevelsteen, I, Pelders, S, Pharoah, PDP, Siesling, S, Southey, MC, van der Hout, AH, van Hest, LP, Chang-Claude, J, Hall, P, Easton, DF, Steyerberg, EW, Schmidt, MK, Giardiello, D, Hooning, MJ, Hauptmann, M, Keeman, R, Heemskerk-Gerritsen, BAM, Becher, H, Blomqvist, C, Bojesen, SE, Bolla, MK, Camp, NJ, Czene, K, Devilee, P, Eccles, DM, Fasching, PA, Figueroa, JD, Flyger, H, Garcia-Closas, M, Haiman, CA, Hamann, U, Hopper, JL, Jakubowska, A, Leeuwen, FE, Lindblom, A, Lubinski, J, Margolin, S, Martinez, ME, Nevanlinna, H, Nevelsteen, I, Pelders, S, Pharoah, PDP, Siesling, S, Southey, MC, van der Hout, AH, van Hest, LP, Chang-Claude, J, Hall, P, Easton, DF, Steyerberg, EW, and Schmidt, MK

Published
2022

41. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author

Ahearn, T. U. (Thomas U.), Zhang, H. (Haoyu), Michailidou, K. (Kyriaki), Milne, R. L. (Roger L.), Bolla, M. K. (Manjeet K.), Dennis, J. (Joe), Dunning, A. M. (Alison M.), Lush, M. (Michael), Wang, Q. (Qin), Andrulis, I. L. (Irene L.), Anton-Culver, H. (Hoda), Arndt, V. (Volker), Aronson, K. J. (Kristan J.), Auer, P. L. (Paul L.), Augustinsson, A. (Annelie), Baten, A. (Adinda), Becher, H. (Heiko), Behrens, S. (Sabine), Benitez, J. (Javier), Bermisheva, M. (Marina), Blomqvist, C. (Carl), Bojesen, S. E. (Stig E.), Bonanni, B. (Bernardo), Borresen-Dale, A.-L. (Anne-Lise), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Brooks-Wilson, A. (Angela), Bruening, T. (Thomas), Burwinkel, B. (Barbara), Buys, S. S. (Saundra S.), Canzian, F. (Federico), Castelao, J. E. (Jose E.), Chang-Claude, J. (Jenny), Chanock, S. J. (Stephen J.), Chenevix-Trench, G. (Georgia), Clarke, C. L. (Christine L.), Collee, J. M. (J. Margriet), Cox, A. (Angela), Cross, S. S. (Simon S.), Czene, K. (Kamila), Daly, M. B. (Mary B.), Devilee, P. (Peter), Dork, T. (Thilo), Dwek, M. (Miriam), Eccles, D. M. (Diana M.), Evans, D. G. (D. Gareth), Fasching, P. A. (Peter A.), Figueroa, J. (Jonine), Floris, G. (Giuseppe), Gago-Dominguez, M. (Manuela), Gapstur, S. M. (Susan M.), Garcia-Saenz, J. A. (Jose A.), Gaudet, M. M. (Mia M.), Giles, G. G. (Graham G.), Goldberg, M. S. (Mark S.), Gonzalez-Neira, A. (Anna), Alnaes, G. I. (Grethe I. Grenaker), Grip, M. (Mervi), Guenel, P. (Pascal), Haiman, C. A. (Christopher A.), Hall, P. (Per), Hamann, U. (Ute), Harkness, E. F. (Elaine F.), Heemskerk-Gerritsen, B. A. (Bernadette A. M.), Holleczek, B. (Bernd), Hollestelle, A. (Antoinette), Hooning, M. J. (Maartje J.), Hoover, R. N. (Robert N.), Hopper, J. L. (John L.), Howell, A. (Anthony), Jakimovska, M. (Milena), Jakubowska, A. (Anna), John, E. M. (Esther M.), Jones, M. E. (Michael E.), Jung, A. (Audrey), Kaaks, R. (Rudolf), Kauppila, S. (Saila), Keeman, R. (Renske), Khusnutdinova, E. (Elza), Kitahara, C. M. (Cari M.), Ko, Y.-D. (Yon-Dschun), Koutros, S. (Stella), Kristensen, V. N. (Vessela N.), Kruger, U. (Ute), Kubelka-Sabit, K. (Katerina), Kurian, A. W. (Allison W.), Kyriacou, K. (Kyriacos), Lambrechts, D. (Diether), Lee, D. G. (Derrick G.), Lindblom, A. (Annika), Linet, M. (Martha), Lissowska, J. (Jolanta), Llaneza, A. (Ana), Lo, W.-Y. (Wing-Yee), MacInnis, R. J. (Robert J.), Mannermaa, A. (Arto), Manoochehri, M. (Mehdi), Margolin, S. (Sara), Martinez, M. E. (Maria Elena), McLean, C. (Catriona), Meindl, A. (Alfons), Menon, U. (Usha), Nevanlinna, H. (Heli), Newman, W. G. (William G.), Nodora, J. (Jesse), Offit, K. (Kenneth), Olsson, H. (Hakan), Orr, N. (Nick), Park-Simon, T.-W. (Tjoung-Won), Patel, A. V. (Alpa, V), Peto, J. (Julian), Pita, G. (Guillermo), Plaseska-Karanfilska, D. (Dijana), Prentice, R. (Ross), Punie, K. (Kevin), Pylkas, K. (Katri), Radice, P. (Paolo), Rennert, G. (Gad), Romero, A. (Atocha), Ruediger, T. (Thomas), Saloustros, E. (Emmanouil), Sampson, S. (Sarah), Sandler, D. P. (Dale P.), Sawyer, E. J. (Elinor J.), Schmutzler, R. K. (Rita K.), Schoemaker, M. J. (Minouk J.), Schottker, B. (Ben), Sherman, M. E. (Mark E.), Shu, X.-O. (Xiao-Ou), Smichkoska, S. (Snezhana), Southey, M. C. (Melissa C.), Spinelli, J. J. (John J.), Swerdlow, A. J. (Anthony J.), Tamimi, R. M. (Rulla M.), Tapper, W. J. (William J.), Taylor, J. A. (Jack A.), Teras, L. R. (Lauren R.), Terry, M. B. (Mary Beth), Torres, D. (Diana), Troester, M. A. (Melissa A.), Vachon, C. M. (Celine M.), van Deurzen, C. H. (Carolien H. M.), van Veen, E. M. (Elke M.), Wagner, P. (Philippe), Weinberg, C. R. (Clarice R.), Wendt, C. (Camilla), Wesseling, J. (Jelle), Winqvist, R. (Robert), Wolk, A. (Alicja), Yang, X. R. (Xiaohong R.), Zheng, W. (Wei), Couch, F. J. (Fergus J.), Simard, J. (Jacques), Kraft, P. (Peter), Easton, D. F. (Douglas F.), Pharoah, P. D. (Paul D. P.), Schmidt, M. K. (Marjanka K.), Garcia-Closas, M. (Montserrat), Chatterjee, N. (Nilanjan), Ahearn, T. U. (Thomas U.), Zhang, H. (Haoyu), Michailidou, K. (Kyriaki), Milne, R. L. (Roger L.), Bolla, M. K. (Manjeet K.), Dennis, J. (Joe), Dunning, A. M. (Alison M.), Lush, M. (Michael), Wang, Q. (Qin), Andrulis, I. L. (Irene L.), Anton-Culver, H. (Hoda), Arndt, V. (Volker), Aronson, K. J. (Kristan J.), Auer, P. L. (Paul L.), Augustinsson, A. (Annelie), Baten, A. (Adinda), Becher, H. (Heiko), Behrens, S. (Sabine), Benitez, J. (Javier), Bermisheva, M. (Marina), Blomqvist, C. (Carl), Bojesen, S. E. (Stig E.), Bonanni, B. (Bernardo), Borresen-Dale, A.-L. (Anne-Lise), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Brooks-Wilson, A. (Angela), Bruening, T. (Thomas), Burwinkel, B. (Barbara), Buys, S. S. (Saundra S.), Canzian, F. (Federico), Castelao, J. E. (Jose E.), Chang-Claude, J. (Jenny), Chanock, S. J. (Stephen J.), Chenevix-Trench, G. (Georgia), Clarke, C. L. (Christine L.), Collee, J. M. (J. Margriet), Cox, A. (Angela), Cross, S. S. (Simon S.), Czene, K. (Kamila), Daly, M. B. (Mary B.), Devilee, P. (Peter), Dork, T. (Thilo), Dwek, M. (Miriam), Eccles, D. M. (Diana M.), Evans, D. G. (D. Gareth), Fasching, P. A. (Peter A.), Figueroa, J. (Jonine), Floris, G. (Giuseppe), Gago-Dominguez, M. (Manuela), Gapstur, S. M. (Susan M.), Garcia-Saenz, J. A. (Jose A.), Gaudet, M. M. (Mia M.), Giles, G. G. (Graham G.), Goldberg, M. S. (Mark S.), Gonzalez-Neira, A. (Anna), Alnaes, G. I. (Grethe I. Grenaker), Grip, M. (Mervi), Guenel, P. (Pascal), Haiman, C. A. (Christopher A.), Hall, P. (Per), Hamann, U. (Ute), Harkness, E. F. (Elaine F.), Heemskerk-Gerritsen, B. A. (Bernadette A. M.), Holleczek, B. (Bernd), Hollestelle, A. (Antoinette), Hooning, M. J. (Maartje J.), Hoover, R. N. (Robert N.), Hopper, J. L. (John L.), Howell, A. (Anthony), Jakimovska, M. (Milena), Jakubowska, A. (Anna), John, E. M. (Esther M.), Jones, M. E. (Michael E.), Jung, A. (Audrey), Kaaks, R. (Rudolf), Kauppila, S. (Saila), Keeman, R. (Renske), Khusnutdinova, E. (Elza), Kitahara, C. M. (Cari M.), Ko, Y.-D. (Yon-Dschun), Koutros, S. (Stella), Kristensen, V. N. (Vessela N.), Kruger, U. (Ute), Kubelka-Sabit, K. (Katerina), Kurian, A. W. (Allison W.), Kyriacou, K. (Kyriacos), Lambrechts, D. (Diether), Lee, D. G. (Derrick G.), Lindblom, A. (Annika), Linet, M. (Martha), Lissowska, J. (Jolanta), Llaneza, A. (Ana), Lo, W.-Y. (Wing-Yee), MacInnis, R. J. (Robert J.), Mannermaa, A. (Arto), Manoochehri, M. (Mehdi), Margolin, S. (Sara), Martinez, M. E. (Maria Elena), McLean, C. (Catriona), Meindl, A. (Alfons), Menon, U. (Usha), Nevanlinna, H. (Heli), Newman, W. G. (William G.), Nodora, J. (Jesse), Offit, K. (Kenneth), Olsson, H. (Hakan), Orr, N. (Nick), Park-Simon, T.-W. (Tjoung-Won), Patel, A. V. (Alpa, V), Peto, J. (Julian), Pita, G. (Guillermo), Plaseska-Karanfilska, D. (Dijana), Prentice, R. (Ross), Punie, K. (Kevin), Pylkas, K. (Katri), Radice, P. (Paolo), Rennert, G. (Gad), Romero, A. (Atocha), Ruediger, T. (Thomas), Saloustros, E. (Emmanouil), Sampson, S. (Sarah), Sandler, D. P. (Dale P.), Sawyer, E. J. (Elinor J.), Schmutzler, R. K. (Rita K.), Schoemaker, M. J. (Minouk J.), Schottker, B. (Ben), Sherman, M. E. (Mark E.), Shu, X.-O. (Xiao-Ou), Smichkoska, S. (Snezhana), Southey, M. C. (Melissa C.), Spinelli, J. J. (John J.), Swerdlow, A. J. (Anthony J.), Tamimi, R. M. (Rulla M.), Tapper, W. J. (William J.), Taylor, J. A. (Jack A.), Teras, L. R. (Lauren R.), Terry, M. B. (Mary Beth), Torres, D. (Diana), Troester, M. A. (Melissa A.), Vachon, C. M. (Celine M.), van Deurzen, C. H. (Carolien H. M.), van Veen, E. M. (Elke M.), Wagner, P. (Philippe), Weinberg, C. R. (Clarice R.), Wendt, C. (Camilla), Wesseling, J. (Jelle), Winqvist, R. (Robert), Wolk, A. (Alicja), Yang, X. R. (Xiaohong R.), Zheng, W. (Wei), Couch, F. J. (Fergus J.), Simard, J. (Jacques), Kraft, P. (Peter), Easton, D. F. (Douglas F.), Pharoah, P. D. (Paul D. P.), Schmidt, M. K. (Marjanka K.), Garcia-Closas, M. (Montserrat), and Chatterjee, N. (Nilanjan)

Abstract

Background: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Methods: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Results: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. Conclusion: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.

Published
2022

45. Automated contouring of non-contrast echocardiograms result in similar estimates of left ventricular function to manually contoured contrast-enhanced images in chemotherapy patients

Author

Akerman, A, primary, Bernard, L, additional, Deschamps, T, additional, Foster, B, additional, Hawkes, W, additional, Mirhadi, E, additional, Piotrowska, H, additional, Sarwar, R, additional, Tetlow, L, additional, Woodward, G, additional, and Becher, H, additional

Published
2022
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49. Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element

Author

Baxter, J.S., Johnson, N., Tomczyk, K., Gillespie, A., Maguire, S., Brough, R., Fachal, L., Michailidou, K., Bolla, M.K., Wang, Q., Dennis, J., Ahearn, T.U., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Arndt, V., Aronson, K.J., Augustinsson, A., Becher, H., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Bogdanova, N.V., Bojesen, S.E., Brenner, H., Brucker, S.Y., Cai, Q.Y., Campa, D., Canzian, F., Castelao, J.E., Chan, T.L., Chang-Claude, J., Chanock, S.J., Chenevix-Trench, G., Choi, J.Y., Clarke, C.L., Collaborators, N., Colonna, S., Conroy, D.M., Couch, F.J., Cox, A., Cross, S.S., Czene, K., Daly, M.B., Devilee, P., Dork, T., Dossus, L., Dwek, M., Eccles, D.M., Ekici, A.B., Eliassen, A.H., Engel, C., Fasching, P.A., Figueroa, J., Flyger, H., Gago-Dominguez, M., Gao, C., Garcia-Closas, M., Garcia-Saenz, J.A., Ghoussaini, M., Giles, G.G., Goldberg, M.S., Gonzalez-Neira, A., Guenel, P., Gundert, M., Haeberle, L., Hahnen, E., Haiman, C.A., Hall, P., Hamann, U., Hartman, M., Hatse, S., Hauke, J., Hollestelle, A., Hoppe, R., Hopper, J.L., Hou, M.F., Ito, H., Iwasaki, M., Jager, A., Jakubowska, A., Janni, W., John, E.M., Joseph, V., Jung, A., Kaaks, R., Kang, D., Keeman, R., Khusnutdinova, E., Kim, S.W., Kosma, V.M., Kraft, P., Kristensen, V.N., Kubelka-Sabit, K., Kurian, A.W., Kwong, A., Lacey, J.V., Lambrechts, D., Larson, N.L., Larsson, S.C., Marchand, L. le, Lejbkowicz, F., Li, J.M., Long, J.R., Lophatananon, A., LubiNski, J., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Matsuo, K., Mavroudis, D., Mayes, R., Menon, U., Milne, R.L., Taib, N.A.M., Muir, K., Muranen, T.A., Murphy, R.A., Nevanlinna, H., O'Brien, K.M., Offit, K., Olson, J.E., Olsson, H., Park, S.K., Park-Simon, T.W., Patel, A.V., Peterlongo, P., Peto, J., Plaseska-Karanfilska, D., Presneau, N., Pylkas, K., Rack, B., Rennert, G., Romero, A., Ruebner, M., Rudiger, T., Saloustros, E., Sandler, D.P., Sawyer, E.J., Schmidt, M.K., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Shah, M., Shen, C.Y., Shu, X.O., Simard, J., Southey, M.C., Stone, J., Surowy, H., Swerdlow, A.J., Tamimi, R.M., Tapper, W.J., Taylor, J.A., Teo, S.H., Teras, L.R., Terry, M.B., Toland, A.E., Tomlinson, I., Truong, T., Tseng, C.C., Untch, M., Vachon, C.M., Ouweland, A.M.W. van den, Wang, S.S., Weinberg, C.R., Wendt, C., Winham, S.J., Winqvist, R., Wolk, A., Wu, A.H., Yamaji, T., Zheng, W., Ziogas, A., Pharoah, P.D.P., Dunning, A.M., Easton, D.F., Pettitt, S.J., Lord, C.J., Haider, S., Orr, N., Fletcher, O., kConFab Investigators, ABCTB Investigators, Medical Oncology, Clinical Genetics, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, Biosciences, Dennis, Joe [0000-0003-4591-1214], Pharoah, Paul [0000-0001-8494-732X], Dunning, Alison [0000-0001-6651-7166], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository

Subjects
Basic medicine, breast cancer risk, 0302 clinical medicine, Transcription (biology), Risk Factors, WIDE ASSOCIATION, TRANSCRIPTION, Promoter Regions, Genetic, Genetics (clinical), Sequence Deletion, Genetics, Genetics & Heredity, 0303 health sciences, Chromosome Mapping, 3. Good health, 030220 oncology & carcinogenesis, Chromosomes, Human, Pair 2, Pair 2, Female, Medical Genetics, Life Sciences & Biomedicine, Human, Tumor suppressor gene, SUSCEPTIBILITY LOCI, In silico, 3122 Cancers, Locus (genetics), Breast Neoplasms, Biology, Chromosomes, Article, Cell Line, RNAS, Promoter Regions, 03 medical and health sciences, functional annotation, risk locus, CRISPR-Cas Systems, Genetic Association Studies, Genetic Variation, Humans, Insulin-Like Growth Factor Binding Protein 5, Molecular Sequence Annotation, 11Q13, Genetic, SDG 3 - Good Health and Well-being, Enhancer, Transcription factor, 030304 developmental biology, Medicinsk genetik, Reporter gene, Science & Technology, IDENTIFICATION, Clinical medicine, Estrogen receptor alpha
Abstract

A combination of genetic and functional approaches has identified three independent breast cancer risk loci at 2q35. A recent fine-scale mapping analysis to refine these associations resulted in 1 (signal 1), 5 (signal 2), and 42 (signal 3) credible causal variants at these loci. We used publicly available in silico DNase I and ChIP-seq data with in vitro reporter gene and CRISPR assays to annotate signals 2 and 3. We identified putative regulatory elements that enhanced cell-type-specific transcription from the IGFBP5 promoter at both signals (30- to 40-fold increased expression by the putative regulatory element at signal 2, 2- to 3-fold by the putative regulatory element at signal 3). We further identified one of the five credible causal variants at signal 2, a 1.4 kb deletion (esv3594306), as the likely causal variant; the deletion allele of this variant was associated with an average additional increase in IGFBP5 expression of 1.3-fold (MCF-7) and 2.2-fold (T-47D). We propose a model in which the deletion allele of esv3594306 juxtaposes two transcription factor binding regions (annotated by estrogen receptor alpha ChIP-seq peaks) to generate a single extended regulatory element. This regulatory element increases cell-type-specific expression of the tumor suppressor gene IGFBP5 and, thereby, reduces risk of estrogen receptor-positive breast cancer (odds ratio = 0.77, 95% CI 0.74-0.81, p = 3.1 × 10-31). ispartof: AMERICAN JOURNAL OF HUMAN GENETICS vol:108 issue:7 pages:1190-1203 ispartof: location:United States status: published

Published
2021

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