42 results on '"Torres-Mejia G."'
Search Results
2. Circulating leptin and adiponectin, and breast density in premenopausal Mexican women : the Mexican Teachers’ Cohort
- Author
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Dossus, L., Rinaldi, S., Biessy, C., Hernandez, M., Lajous, M., Monge, A., Ortiz-Panozo, E., Yunes, E., Lopez-Ridaura, R., Torres-Mejía, G., and Romieu, I.
- Published
- 2017
3. Knowledge and recommendations regarding breast cancer early screening in an upper middle income country: Primary and secondary health care professionals
- Author
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Ortega–Olvera, C., Torres–Mejía, G., Sánchez–Zamorano, L.M., Ángeles–Llerenas, A., Martínez–Matsushita, L., Rojas–Martínez, R., Montemayor–Varela, E., Navarro-Lechuga, Edgar, and Lazcano–Ponce, E.
- Published
- 2016
- Full Text
- View/download PDF
4. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry
- Author
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Mueller, SH, Lai, AG, Valkovskaya, M, Michailidou, K, Bolla, MK, Wang, Q, Dennis, J, Lush, M, Abu-Ful, Z, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Augustinsson, A, Baert, T, Freeman, LEB, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Brenner, H, Brucker, SY, Buys, SS, Castelao, JE, Chan, TL, Chang-Claude, J, Chanock, SJ, Choi, J-Y, Chung, WK, Colonna, S, Cornelissen, S, Couch, FJ, Czene, K, Daly, MB, Devilee, P, Dork, T, Dossus, L, Dwek, M, Eccles, DM, Ekici, AB, Eliassen, AH, Engel, C, Evans, DG, Fasching, PA, Fletcher, O, Flyger, H, Gago-Dominguez, M, Gao, Y-T, Garcia-Closas, M, Garcia-Saenz, JA, Genkinger, J, Gentry-Maharaj, A, Grassmann, F, Guenel, P, Gundert, M, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hall, P, Harkness, EF, Harrington, PA, Hartikainen, JM, Hartman, M, Hein, A, Ho, W-K, Hooning, MJ, Hoppe, R, Hopper, JL, Houlston, RS, Howell, A, Hunter, DJ, Huo, D, Investigators, A, Ito, H, Iwasaki, M, Jakubowska, A, Janni, W, John, EM, Jones, ME, Jung, A, Kaaks, R, Kang, D, Khusnutdinova, EK, Kim, S-W, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Kubelka-Sabit, K, Kurian, AW, Kwong, A, Lacey, J, Lambrechts, D, Le Marchand, L, Li, J, Linet, M, Lo, W-Y, Long, J, Lophatananon, A, Mannermaa, A, Manoochehri, M, Margolin, S, Matsuo, K, Mavroudis, D, Menon, U, Muir, K, Murphy, RA, Nevanlinna, H, Newman, WG, Niederacher, D, O'Brien, KM, Obi, N, Offit, K, Olopade, O, Olshan, AF, Olsson, H, Park, SK, Patel, A, Perou, CM, Peto, J, Pharoah, PDP, Plaseska-Karanfilska, D, Presneau, N, Rack, B, Radice, P, Ramachandran, D, Rashid, MU, Rennert, G, Romero, A, Ruddy, KJ, Ruebner, M, Saloustros, E, Sandler, DP, Sawyer, EJ, Schmidt, MK, Schmutzler, RK, Schneider, MO, Scott, C, Shah, M, Sharma, P, Shen, C-Y, Shu, X-O, Simard, J, Surowy, H, Tamimi, RM, Tapper, WJ, Taylor, JA, Teo, SH, Teras, LR, Toland, AE, Tollenaar, RAEM, Torres, D, Torres-Mejia, G, Troester, MA, Truong, T, Vachon, CM, Vijai, J, Weinberg, CR, Wendt, C, Winqvist, R, Wolk, A, Wu, AH, Yamaji, T, Yang, XR, Yu, J-C, Zheng, W, Ziogas, A, Ziv, E, Dunning, AM, Easton, DF, Hemingway, H, Hamann, U, Kuchenbaecker, KB, Mueller, SH, Lai, AG, Valkovskaya, M, Michailidou, K, Bolla, MK, Wang, Q, Dennis, J, Lush, M, Abu-Ful, Z, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Augustinsson, A, Baert, T, Freeman, LEB, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Brenner, H, Brucker, SY, Buys, SS, Castelao, JE, Chan, TL, Chang-Claude, J, Chanock, SJ, Choi, J-Y, Chung, WK, Colonna, S, Cornelissen, S, Couch, FJ, Czene, K, Daly, MB, Devilee, P, Dork, T, Dossus, L, Dwek, M, Eccles, DM, Ekici, AB, Eliassen, AH, Engel, C, Evans, DG, Fasching, PA, Fletcher, O, Flyger, H, Gago-Dominguez, M, Gao, Y-T, Garcia-Closas, M, Garcia-Saenz, JA, Genkinger, J, Gentry-Maharaj, A, Grassmann, F, Guenel, P, Gundert, M, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hall, P, Harkness, EF, Harrington, PA, Hartikainen, JM, Hartman, M, Hein, A, Ho, W-K, Hooning, MJ, Hoppe, R, Hopper, JL, Houlston, RS, Howell, A, Hunter, DJ, Huo, D, Investigators, A, Ito, H, Iwasaki, M, Jakubowska, A, Janni, W, John, EM, Jones, ME, Jung, A, Kaaks, R, Kang, D, Khusnutdinova, EK, Kim, S-W, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Kubelka-Sabit, K, Kurian, AW, Kwong, A, Lacey, J, Lambrechts, D, Le Marchand, L, Li, J, Linet, M, Lo, W-Y, Long, J, Lophatananon, A, Mannermaa, A, Manoochehri, M, Margolin, S, Matsuo, K, Mavroudis, D, Menon, U, Muir, K, Murphy, RA, Nevanlinna, H, Newman, WG, Niederacher, D, O'Brien, KM, Obi, N, Offit, K, Olopade, O, Olshan, AF, Olsson, H, Park, SK, Patel, A, Perou, CM, Peto, J, Pharoah, PDP, Plaseska-Karanfilska, D, Presneau, N, Rack, B, Radice, P, Ramachandran, D, Rashid, MU, Rennert, G, Romero, A, Ruddy, KJ, Ruebner, M, Saloustros, E, Sandler, DP, Sawyer, EJ, Schmidt, MK, Schmutzler, RK, Schneider, MO, Scott, C, Shah, M, Sharma, P, Shen, C-Y, Shu, X-O, Simard, J, Surowy, H, Tamimi, RM, Tapper, WJ, Taylor, JA, Teo, SH, Teras, LR, Toland, AE, Tollenaar, RAEM, Torres, D, Torres-Mejia, G, Troester, MA, Truong, T, Vachon, CM, Vijai, J, Weinberg, CR, Wendt, C, Winqvist, R, Wolk, A, Wu, AH, Yamaji, T, Yang, XR, Yu, J-C, Zheng, W, Ziogas, A, Ziv, E, Dunning, AM, Easton, DF, Hemingway, H, Hamann, U, and Kuchenbaecker, KB
- Abstract
BACKGROUND: Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. METHODS: We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes' coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. RESULTS: In European ancestry samples, 14 genes were significantly associated (q < 0.05) with BC. Of those, two genes, FMNL3 (P = 6.11 × 10-6) and AC058822.1 (P = 1.47 × 10-4), represent new associations. High FMNL3 expression has previously been linked to poor prognosis in several other cancers. Meta-analysis of samples with diverse ancestry discovered further associations including established candidate genes ESR1 and CBLB. Furthermore, literature review and database query found further support for a biologically plausible link with cancer for genes CBLB, FMNL3, FGFR2, LSP1, MAP3K1, and SRGAP2C. CONCLUSIONS: Using extended gene-based aggregation tests including coding and regulatory variation, we report identification of plausible target genes for previously identified single-marker associations with BC as well as the discovery of novel genes implicated in BC development. Including multi ancestral cohorts in this study enabled the identification of otherwise missed disease associations as ESR1 (P = 1.31 × 10-5), demonstrating the importance of diversifying study cohorts.
- Published
- 2023
5. Two truncating variants in FANCC and breast cancer risk
- Author
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Dork, T., Peterlongo, P., Mannermaa, A., Bolla, M.K., Wang, Q., Dennis, J., Ahearn, T., Andrulis, I.L., Anton-Culver, H., Arndt, V., Aronson, K.J., Augustinsson, A., Freeman, L.E.B., Beckmann, M.W., Beeghly-Fadiel, A., Behrens, S., Bermisheva, M., Blomqvist, C., Bogdanova, N., Bojesen, S.E., Brauch, H., Brenner, H., Burwinkel, B., Canzian, F., Chan, T.L., Chang-Claude, J., Chanock, S.J., Choi, J.Y., Christiansen, H., Clarke, C.L., Couch, F.J., Czene, K., Daly, M.B., dos-Santos-Silva, I., Dwek, M., Eccles, D.M., Ekici, A.B., Eriksson, M., Evans, D.G., Fasching, P.A., Figueroa, J., Flyger, H., Fritschisl, L., Gabrielson, M., Gago-Dominguez, M., Gao, C., Gapstur, S.M., Garcia-Closas, M., Garcia-Saenz, J.A., Gaudet, M.M., Giles, G.G., Goldberg, M.S., Goldgar, D.E., Guenel, P., Haeberle, L., Haiman, C.A., Hakansson, N., Hall, P., Hamann, U., Hartman, M., Hauke, J., Hein, A., Hillemanns, P., Hogervorst, F.B.L., Hooning, M.J., Hopper, J.L., Howell, T., Huo, D.Z., Ito, H., Iwasaki, M., Jakubowska, A., Janni, W., John, E.M., Jung, A., Kaaks, R., Kang, D., Kapoor, P.M., Khusnutdinova, E., Kim, S.W., Kitahara, C.M., Koutros, S., Kraft, P., Kristensen, V.N., Kwon, A., Lambrechts, D., Marchand, L. le, Li, J.M., Lindstrom, S., Linet, M., W.Y. lo, Long, J.R., Lophatananon, A., Lubinski, J., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, E., Matsuo, K., Mavroudis, D., Meindl, A., Menon, U., Milne, R.L., Taib, N.A.M., Muir, K., Mulligan, A.M., Neuhausen, S.L., Nevanlinna, H., Neven, P., Newman, W.G., Offit, K., Olopade, O.I., Olshan, A.F., Olson, J.E., Olsson, H., Park, S.K., Park-Simon, T.W., Peto, J., Plaseska-Karanfilska, D., Pohl-Rescigno, E., Presneau, N., Rack, B., Radice, P., Rashid, M.U., Rennert, G., Rennert, H.S., Romero, A., Ruebner, M., Saloustros, E., Schmidt, M.K., Schmutzler, R.K., Schneider, M.O., Schoemaker, M.J., Scott, C., Shen, C.Y., Shu, X.O., Simard, J., Slager, S., Smichkoska, S., Southey, M.C., Spinelli, J.J., Stone, J., Surowy, H., Swerdlow, A.J., Tamimi, R.M., Tapper, W.J., Teo, S.H., Terry, M.B., Toland, A.E., Tollenaar, R.A.E.M., Torres, D., Torres-Mejia, G., Troester, M.A., Truong, T., Tsugane, S., Untch, M., Vachon, C.M., Ouweland, A.M.W. van den, Veen, E.M. van, Vijai, J., Wendt, C., Wolk, A., Yu, J.C., Zheng, W., Ziogas, A., Ziv, E., Dunning, A.M., Pharoah, P.D.P., Schindler, D., Devilee, P., Easton, D.F., Balleine, R., Baxter, R., Braye, S., Carpenter, J., Dahlstrom, J., Forbes, J., Lee, C.S., Marsh, D., Morey, A., Pathmanathan, N., Scott, R., Simpson, P., Spigelman, A., Wilcken, N., Yip, D., Zeps, N., Borresen-Dale, A.L., Alnaes, G.I.G., Sahlberg, K.K., Ottestad, L., Karesen, R., Schlichting, E., Holmen, M.M., Sauer, T., Haakensen, V., Engebraten, O., Naume, B., Fossa, A., Kiserud, C.E., Reinertsen, K.V., Helland, A., Riis, M., Geisler, J., ABCTB Investigators, NBCS Collaborators, Andrulis, Irene L [0000-0002-4226-6435], Arndt, Volker [0000-0001-9320-8684], Brauch, Hiltrud [0000-0001-7531-2736], Dwek, Miriam [0000-0001-7184-2932], Ekici, Arif B [0000-0001-6099-7066], Fasching, Peter A [0000-0003-4885-8471], Figueroa, Jonine [0000-0002-5100-623X], Hein, Alexander [0000-0003-2601-3398], Ito, Hidemi [0000-0002-8023-4581], Matsuo, Keitaro [0000-0003-1761-6314], Menon, Usha [0000-0003-3708-1732], Milne, Roger L [0000-0001-5764-7268], Muir, Kenneth [0000-0001-6429-988X], Nevanlinna, Heli [0000-0002-0916-2976], Newman, William G [0000-0002-6382-4678], Peto, Julian [0000-0002-1685-8912], Rennert, Gad [0000-0002-8512-068X], Romero, Atocha [0000-0002-1634-7397], Schmidt, Marjanka K [0000-0002-2228-429X], Scott, Christopher [0000-0003-1340-0647], Stone, Jennifer [0000-0001-5077-0124], Truong, Thérèse [0000-0002-2943-6786], Tsugane, Shoichiro [0000-0003-4105-2774], Ziogas, Argyrios [0000-0003-4529-3727], Dunning, Alison M [0000-0001-6651-7166], Pharoah, Paul DP [0000-0001-8494-732X], Devilee, Peter [0000-0002-8023-2009], Easton, Douglas F [0000-0003-2444-3247], Apollo - University of Cambridge Repository, Andrulis, Irene L. [0000-0002-4226-6435], Ekici, Arif B. [0000-0001-6099-7066], Fasching, Peter A. [0000-0003-4885-8471], Milne, Roger L. [0000-0001-5764-7268], Newman, William G. [0000-0002-6382-4678], Schmidt, Marjanka K. [0000-0002-2228-429X], Dunning, Alison M. [0000-0001-6651-7166], Pharoah, Paul D. P. [0000-0001-8494-732X], Easton, Douglas F. [0000-0003-2444-3247], HUS Comprehensive Cancer Center, Clinicum, University Management, Department of Oncology, University of Helsinki, Department of Obstetrics and Gynecology, HUS Gynecology and Obstetrics, Medical Oncology, and Clinical Genetics
- Subjects
0301 basic medicine ,Oncology ,PROTEIN ,lcsh:Medicine ,45/47 ,0302 clinical medicine ,Fanconi anemia ,Genotype ,lcsh:Science ,Sequence Deletion ,Multidisciplinary ,BRCA1 Protein ,Fanconi Anemia Complementation Group C Protein ,1184 Genetics, developmental biology, physiology ,BRCA2 Protein ,3. Good health ,BIALLELIC MUTATIONS ,DNA-REPAIR ,Female ,692/499 ,Medical Genetics ,medicine.medical_specialty ,PALB2 ,3122 Cancers ,ABCTB Investigators ,Breast Neoplasms ,FANCONIS ANEMIA ,Article ,692/4028 ,NBCS Collaborators ,03 medical and health sciences ,Breast cancer ,SDG 3 - Good Health and Well-being ,Internal medicine ,medicine ,Humans ,NONSENSE MUTATION ,Genetic Predisposition to Disease ,Medicinsk genetik ,45 ,business.industry ,Genetic heterogeneity ,lcsh:R ,Case-control study ,Genetic Variation ,Odds ratio ,medicine.disease ,GENE ,Fanconi Anemia ,030104 developmental biology ,Risk factors ,Case-Control Studies ,lcsh:Q ,3111 Biomedicine ,business ,030217 neurology & neurosurgery - Abstract
Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44–1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.
- Published
- 2019
- Full Text
- View/download PDF
6. Two truncating variants in FANCC and breast cancer risk.
- Author
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Gaudet M.M., Kaaks R., Kang D., Kwong A., Lambrechts D., Marchand L.L., Li J., Lindstrom S., Linet M., Lo W.-Y., Long J., Lophatananon A., Lubinski J., Manoochehri M., Manoukian S., Margolin S., Martinez E., Matsuo K., Mavroudis D., Meindl A., Menon U., Milne R.L., Mohd Taib N.A., Muir K., Mulligan A.M., Neuhausen S.L., Nevanlinna H., Neven P., Newman W.G., Offit K., Olopade O.I., Olshan A.F., Olson J.E., Olsson H., Park S.K., Park-Simon T.-W., Peto J., Plaseska-Karanfilska D., Pohl-Rescigno E., Presneau N., Rack B., Radice P., Rashid M.U., Rennert G., Rennert H.S., Romero A., Ruebner M., Saloustros E., Schmidt M.K., Schmutzler R.K., Schneider M.O., Schoemaker M.J., Scott C., Shen C.-Y., Shu X.-O., Simard J., Slager S., Smichkoska S., Southey M.C., Spinelli J.J., Stone J., Surowy H., Swerdlow A.J., Tamimi R.M., Tapper W.J., Teo S.H., Terry M.B., Toland A.E., Tollenaar R.A.E.M., Torres D., Torres-Mejia G., Troester M.A., Truong T., Tsugane S., Untch M., Vachon C.M., Ouweland A.M.W.V.D., Veen E.M.V., Vijai J., Wendt C., Wolk A., Yu J.-C., Zheng W., Ziogas A., Ziv E., Dunning A.M., Pharoah P.D.P., Schindler D., Devilee P., Easton D.F., Hopper J.L., Howell T., Huo D., Ito H., Iwasaki M., Jakubowska A., Janni W., John E.M., Dork T., Peterlongo P., Mannermaa A., Bolla M.K., Wang Q., Dennis J., Ahearn T., Andrulis I.L., Anton-Culver H., Arndt V., Aronson K.J., Augustinsson A., Freeman L.E.B., Beckmann M.W., Beeghly-Fadiel A., Behrens S., Bermisheva M., Blomqvist C., Bogdanova N.V., Bojesen S.E., Brauch H., Brenner H., Burwinkel B., Canzian F., Chan T.L., Chang-Claude J., Chanock S.J., Choi J.-Y., Christiansen H., Clarke C.L., Couch F.J., Czene K., Daly M.B., Dos-Santos-Silva I., Dwek M., Eccles D.M., Ekici A.B., Eriksson M., Evans D.G., Fasching P.A., Figueroa J., Flyger H., Fritschi L., Gabrielson M., Gago-Dominguez M., Gao C., Gapstur S.M., Garcia-Closas M., Garcia-Saenz J.A., Jung A., Giles G.G., Goldberg M.S., Goldgar D.E., Guenel P., Haeberle L., Haiman C.A., Hakansson N., Hall P., Hamann U., Hartman M., Hauke J., Hein A., Hillemanns P., Hogervorst F.B.L., Hooning M.J., Kapoor P.M., Khusnutdinova E., Kim S.-W., Kitahara C.M., Koutros S., Kraft P., Kristensen V.N., Gaudet M.M., Kaaks R., Kang D., Kwong A., Lambrechts D., Marchand L.L., Li J., Lindstrom S., Linet M., Lo W.-Y., Long J., Lophatananon A., Lubinski J., Manoochehri M., Manoukian S., Margolin S., Martinez E., Matsuo K., Mavroudis D., Meindl A., Menon U., Milne R.L., Mohd Taib N.A., Muir K., Mulligan A.M., Neuhausen S.L., Nevanlinna H., Neven P., Newman W.G., Offit K., Olopade O.I., Olshan A.F., Olson J.E., Olsson H., Park S.K., Park-Simon T.-W., Peto J., Plaseska-Karanfilska D., Pohl-Rescigno E., Presneau N., Rack B., Radice P., Rashid M.U., Rennert G., Rennert H.S., Romero A., Ruebner M., Saloustros E., Schmidt M.K., Schmutzler R.K., Schneider M.O., Schoemaker M.J., Scott C., Shen C.-Y., Shu X.-O., Simard J., Slager S., Smichkoska S., Southey M.C., Spinelli J.J., Stone J., Surowy H., Swerdlow A.J., Tamimi R.M., Tapper W.J., Teo S.H., Terry M.B., Toland A.E., Tollenaar R.A.E.M., Torres D., Torres-Mejia G., Troester M.A., Truong T., Tsugane S., Untch M., Vachon C.M., Ouweland A.M.W.V.D., Veen E.M.V., Vijai J., Wendt C., Wolk A., Yu J.-C., Zheng W., Ziogas A., Ziv E., Dunning A.M., Pharoah P.D.P., Schindler D., Devilee P., Easton D.F., Hopper J.L., Howell T., Huo D., Ito H., Iwasaki M., Jakubowska A., Janni W., John E.M., Dork T., Peterlongo P., Mannermaa A., Bolla M.K., Wang Q., Dennis J., Ahearn T., Andrulis I.L., Anton-Culver H., Arndt V., Aronson K.J., Augustinsson A., Freeman L.E.B., Beckmann M.W., Beeghly-Fadiel A., Behrens S., Bermisheva M., Blomqvist C., Bogdanova N.V., Bojesen S.E., Brauch H., Brenner H., Burwinkel B., Canzian F., Chan T.L., Chang-Claude J., Chanock S.J., Choi J.-Y., Christiansen H., Clarke C.L., Couch F.J., Czene K., Daly M.B., Dos-Santos-Silva I., Dwek M., Eccles D.M., Ekici A.B., Eriksson M., Evans D.G., Fasching P.A., Figueroa J., Flyger H., Fritschi L., Gabrielson M., Gago-Dominguez M., Gao C., Gapstur S.M., Garcia-Closas M., Garcia-Saenz J.A., Jung A., Giles G.G., Goldberg M.S., Goldgar D.E., Guenel P., Haeberle L., Haiman C.A., Hakansson N., Hall P., Hamann U., Hartman M., Hauke J., Hein A., Hillemanns P., Hogervorst F.B.L., Hooning M.J., Kapoor P.M., Khusnutdinova E., Kim S.-W., Kitahara C.M., Koutros S., Kraft P., and Kristensen V.N.
- Abstract
Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44-1.33, p=0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.
- Published
- 2020
7. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes.
- Author
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Ramus S.J., Carroll J.S., Schneeweiss A., Schoemaker M.J., Schottker B., Schurmann P., Scott C., Scott R.J., Senter L., Shah M., Sharma P., Shen C.-Y., Shu X.-O., Singer C.F., Slavin T.P., Smichkoska S., Spinelli J.J., Spurdle A.B., Sutter C., Swerdlow A.J., Tamimi R.M., Tan Y.Y., Tapper W.J., Taylor J., Teixeira M.R., Tengstrom M., Teo S.H., Terry M.B., Teule A., Thomassen M., Thull D.L., Toland A.E., Tollenaar R.A.E.M., Tomlinson I., Torres D., Torres-Mejia G., Troester M.A., Truong T., Tung N., Tzardi M., Ulmer H.-U., Vachon C.M., van der Kolk L.E., van Rensburg E.J., Vega A., Viel A., Vijai J., Vogel M.J., Wang Q., Wappenschmidt B., Weinberg C.R., Weitzel J.N., Wendt C., Wildiers H., Winqvist R., Wolk A., Wu A.H., Yannoukakos D., Zhang Y., Zheng W., Hunter D., Pharoah P.D.P., Chang-Claude J., Garcia-Closas M., Schmidt M.K., Kristensen V.N., French J.D., Antoniou A.C., Chenevix-Trench G., Simard J., Easton D.F., Kraft P., Allen J., Harris M., Fachal L., Aschard H., Beesley J., Barnes D.R., Kar S., Pooley K.A., Dennis J., Michailidou K., Turman C., Soucy P., Lemacon A., Lush M., Tyrer J.P., Ghoussaini M., Marjaneh M.M., Jiang X., Agata S., Aittomaki K., Alonso M.R., Andrulis I.L., Anton-Culver H., Antonenkova N.N., Arason A., Arndt V., Aronson K.J., Arun B.K., Auber B., Auer P.L., Azzollini J., Balmana J., Barkardottir R.B., Barrowdale D., Beeghly-Fadiel A., Benitez J., Bermisheva M., Bialkowska K., Blanco A.M., Blomqvist C., Blot W., Bogdanova N.V., Bojesen S.E., Bolla M.K., Bonanni B., Borg A., Bosse K., Brauch H., Brenner H., Briceno I., Brock I.W., Brooks-Wilson A., Bruning T., Burwinkel B., Buys S.S., Cai Q., Caldes T., Caligo M.A., Camp N.J., Campbell I., Carter B.D., Castelao J.E., Chiquette J., Christiansen H., Chung W.K., Claes K.B.M., Clarke C.L., Mari V., Berthet P., Castera L., Vaur D., Lallaoui H., Bignon Y.-J., Uhrhammer N., Bonadona V., Lasset C., Revillion F., Vennin P., Muller D., Gomes D.M., Ingster O., Coupier I., Pujol P., Collonge-Rame M.-A., Mortemousque I., Bera O., Rose M., Baurand A., Bertolone G., Faivre L., Dreyfus H., Leroux D., Venat-Bouvet L., Bezieau S., Delnatte C., Chiesa J., Gilbert-Dussardier B., Gesta P., Prieur F.P., Bronner M., Sokolowska J., Coulet F., Boutry-Kryza N., Calender A., Giraud S., Leone M., Fert-Ferrer S., Stoppa-Lyonnet D., Jiao Y., Lesueur F.L., Mebirouk N., Barouk-Simonet E., Bubien V., Longy M., Sevenet N., Gladieff L., Toulas C., Reimineras A., Sobol H., Paillerets B.B.-D., Cabaret O., Caron O., Guillaud-Bataille M., Rouleau E., Belotti M., Buecher B., Caputo S., Colas C., Pauw A.D., Fourme E., Gauthier-Villars M., Golmard L., Moncoutier V., Saule C., Donaldson A., Murray A., Brady A., Brewer C., Pottinger C., Miller C., Gallagher D., Gregory H., Cook J., Eason J., Adlard J., Barwell J., Ong K.-R., Snape K., Walker L., Izatt L., Side L., Tischkowitz M., Rogers M.T., Porteous M.E., Ahmed M., Morrison P.J., Brennan P., Eeles R., Davidson R., Collee J.M., Cornelissen S., Couch F.J., Cox A., Cross S.S., Cybulski C., Czene K., Daly M.B., de la Hoya M., Devilee P., Diez O., Ding Y.C., Dite G.S., Domchek S.M., Dork T., dos-Santos-Silva I., Droit A., Dubois S., Dumont M., Duran M., Durcan L., Dwek M., Eccles D.M., Engel C., Eriksson M., Evans D.G., Fasching P.A., Fletcher O., Floris G., Flyger H., Foretova L., Foulkes W.D., Friedman E., Fritschi L., Frost D., Gabrielson M., Gago-Dominguez M., Gambino G., Ganz P.A., Gapstur S.M., Garber J., Garcia-Saenz J.A., Gaudet M.M., Georgoulias V., Giles G., Glendon G., Godwin A.K., Goldberg M.S., Goldgar D.E., Gonzalez-Neira A., Tibiletti M.G., Greene M.H., Grip M., Gronwald J., Grundy A., Guenel P., Hahnen E., Haiman C.A., Hakansson N., Hall P., Hamann U., Harrington P.A., Hartikainen J.M., Hartman M., He W., Healey C.S., Heemskerk-Gerritsen B.A.M., Heyworth J., Hillemanns P., Hogervorst F.B.L., Hollestelle A., Hooning M., Hopper J., Howell A., Huang G., Hulick P.J., Imyanitov E.N., Sexton A., Christian A., Trainer A., Spigelman A., Fellows A., Shelling A., Fazio A.D., Blackburn A., Crook A., Meiser B., Patterson B., Clarke C., Saunders C., Hunt C., Amor D., Marsh D., Edkins E., Salisbury E., Haan E., Neidermayr E., Macrea F., Farshid G., Lindeman G., Trench G., Mann G., Gill G., Thorne H., Hickie I., Winship I., Flanagan J., Kollias J., Visvader J., Stone J., Burke J., Saunus J., Forbes J., French J., Tucker K., Wu K., Phillips K., Lipton L., Andrews L., Lobb L., Kentwell M., Spurdle M., Cummings M., Gleeson M., Jenkins M., Young M.A., Delatycki M., Wallis M., Burgess M., Price M., Brown M., Southey M., Bogwitz M., Field M., Friedlander M., Gattas M., Saleh M., Hayward N., Pachter N., Cohen P., Duijf P., James P., Simpson P., Fong P., Butow P., Williams R., Kefford R., Scott R., Milne R.L., Balleine R., Dawson S.-J., Lok S., O'Connell S., Greening S., Nightingale S., Edwards S., Fox S., McLachlan S.-A., Lakhani S., Antill Y., Aalfs C., Meijers-Heijboer H., van Engelen K., Gille H., Boere I., Collee M., van Deurzen C., Obdeijn I.-M., van den Ouweland A., Seynaeve C., Siesling S., Verloop J., van Asperen C., van Cronenburg T., Blok R., de Boer M., Garcia E.G., Adank M., Hogervorst F., Jenner D., van Leeuwen F., Rookus M., Russell N., Schmidt M., van den Belt-Dusebout S., Kets C., Mensenkamp A., de Bock T., van der Hout A., Mourits M., Oosterwijk J., Ausems M., Koudijs M., Baxter R., Yip D., Carpenter J., Davis A., Pathmanathan N., Graham D., Sachchithananthan M., Isaacs C., Iwasaki M., Jager A., Jakimovska M., Jakubowska A., Janavicius R., Jankowitz R.C., John E.M., Johnson N., Jones M.E., Jukkola-Vuorinen A., Jung A., Kaaks R., Kang D., Kapoor P.M., Karlan B.Y., Keeman R., Kerin M.J., Khusnutdinova E., Kiiski J.I., Kirk J., Kitahara C.M., Ko Y.-D., Konstantopoulou I., Kosma V.-M., Koutros S., Kubelka-Sabit K., Kwong A., Kyriacou K., Laitman Y., Lambrechts D., Lee E., Leslie G., Lester J., Lesueur F., Lindblom A., Lo W.-Y., Long J., Lophatananon A., Loud J.T., Lubinski J., MacInnis R.J., Maishman T., Makalic E., Mannermaa A., Manoochehri M., Manoukian S., Margolin S., Martinez M.E., Matsuo K., Maurer T., Mavroudis D., Mayes R., McGuffog L., McLean C., Meindl A., Miller A., Miller N., Montagna M., Moreno F., Muir K., Mulligan A.M., Munoz-Garzon V.M., Muranen T.A., Narod S.A., Nassir R., Nathanson K.L., Neuhausen S.L., Nevanlinna H., Neven P., Nielsen F.C., Nikitina-Zake L., Norman A., Offit K., Olah E., Olopade O.I., Olsson H., Orr N., Osorio A., Pankratz V.S., Papp J., Park S.K., Park-Simon T.-W., Parsons M.T., Paul J., Pedersen I.S., Peissel B., Peshkin B., Peterlongo P., Peto J., Plaseska-Karanfilska D., Prajzendanc K., Prentice R., Presneau N., Prokofyeva D., Pujana M.A., Pylkas K., Radice P., Canzian F., Rantala J., Rau-Murthy R., Rennert G., Risch H.A., Robson M., Romero A., Rossing M., Saloustros E., Sanchez-Herrero E., Sandler D.P., Santamarina M., Sawyer E.J., Scheuner M.T., Schmidt D.F., Schmutzler R.K., Ramus S.J., Carroll J.S., Schneeweiss A., Schoemaker M.J., Schottker B., Schurmann P., Scott C., Scott R.J., Senter L., Shah M., Sharma P., Shen C.-Y., Shu X.-O., Singer C.F., Slavin T.P., Smichkoska S., Spinelli J.J., Spurdle A.B., Sutter C., Swerdlow A.J., Tamimi R.M., Tan Y.Y., Tapper W.J., Taylor J., Teixeira M.R., Tengstrom M., Teo S.H., Terry M.B., Teule A., Thomassen M., Thull D.L., Toland A.E., Tollenaar R.A.E.M., Tomlinson I., Torres D., Torres-Mejia G., Troester M.A., Truong T., Tung N., Tzardi M., Ulmer H.-U., Vachon C.M., van der Kolk L.E., van Rensburg E.J., Vega A., Viel A., Vijai J., Vogel M.J., Wang Q., Wappenschmidt B., Weinberg C.R., Weitzel J.N., Wendt C., Wildiers H., Winqvist R., Wolk A., Wu A.H., Yannoukakos D., Zhang Y., Zheng W., Hunter D., Pharoah P.D.P., Chang-Claude J., Garcia-Closas M., Schmidt M.K., Kristensen V.N., French J.D., Antoniou A.C., Chenevix-Trench G., Simard J., Easton D.F., Kraft P., Allen J., Harris M., Fachal L., Aschard H., Beesley J., Barnes D.R., Kar S., Pooley K.A., Dennis J., Michailidou K., Turman C., Soucy P., Lemacon A., Lush M., Tyrer J.P., Ghoussaini M., Marjaneh M.M., Jiang X., Agata S., Aittomaki K., Alonso M.R., Andrulis I.L., Anton-Culver H., Antonenkova N.N., Arason A., Arndt V., Aronson K.J., Arun B.K., Auber B., Auer P.L., Azzollini J., Balmana J., Barkardottir R.B., Barrowdale D., Beeghly-Fadiel A., Benitez J., Bermisheva M., Bialkowska K., Blanco A.M., Blomqvist C., Blot W., Bogdanova N.V., Bojesen S.E., Bolla M.K., Bonanni B., Borg A., Bosse K., Brauch H., Brenner H., Briceno I., Brock I.W., Brooks-Wilson A., Bruning T., Burwinkel B., Buys S.S., Cai Q., Caldes T., Caligo M.A., Camp N.J., Campbell I., Carter B.D., Castelao J.E., Chiquette J., Christiansen H., Chung W.K., Claes K.B.M., Clarke C.L., Mari V., Berthet P., Castera L., Vaur D., Lallaoui H., Bignon Y.-J., Uhrhammer N., Bonadona V., Lasset C., Revillion F., Vennin P., Muller D., Gomes D.M., Ingster O., Coupier I., Pujol P., Collonge-Rame M.-A., Mortemousque I., Bera O., Rose M., Baurand A., Bertolone G., Faivre L., Dreyfus H., Leroux D., Venat-Bouvet L., Bezieau S., Delnatte C., Chiesa J., Gilbert-Dussardier B., Gesta P., Prieur F.P., Bronner M., Sokolowska J., Coulet F., Boutry-Kryza N., Calender A., Giraud S., Leone M., Fert-Ferrer S., Stoppa-Lyonnet D., Jiao Y., Lesueur F.L., Mebirouk N., Barouk-Simonet E., Bubien V., Longy M., Sevenet N., Gladieff L., Toulas C., Reimineras A., Sobol H., Paillerets B.B.-D., Cabaret O., Caron O., Guillaud-Bataille M., Rouleau E., Belotti M., Buecher B., Caputo S., Colas C., Pauw A.D., Fourme E., Gauthier-Villars M., Golmard L., Moncoutier V., Saule C., Donaldson A., Murray A., Brady A., Brewer C., Pottinger C., Miller C., Gallagher D., Gregory H., Cook J., Eason J., Adlard J., Barwell J., Ong K.-R., Snape K., Walker L., Izatt L., Side L., Tischkowitz M., Rogers M.T., Porteous M.E., Ahmed M., Morrison P.J., Brennan P., Eeles R., Davidson R., Collee J.M., Cornelissen S., Couch F.J., Cox A., Cross S.S., Cybulski C., Czene K., Daly M.B., de la Hoya M., Devilee P., Diez O., Ding Y.C., Dite G.S., Domchek S.M., Dork T., dos-Santos-Silva I., Droit A., Dubois S., Dumont M., Duran M., Durcan L., Dwek M., Eccles D.M., Engel C., Eriksson M., Evans D.G., Fasching P.A., Fletcher O., Floris G., Flyger H., Foretova L., Foulkes W.D., Friedman E., Fritschi L., Frost D., Gabrielson M., Gago-Dominguez M., Gambino G., Ganz P.A., Gapstur S.M., Garber J., Garcia-Saenz J.A., Gaudet M.M., Georgoulias V., Giles G., Glendon G., Godwin A.K., Goldberg M.S., Goldgar D.E., Gonzalez-Neira A., Tibiletti M.G., Greene M.H., Grip M., Gronwald J., Grundy A., Guenel P., Hahnen E., Haiman C.A., Hakansson N., Hall P., Hamann U., Harrington P.A., Hartikainen J.M., Hartman M., He W., Healey C.S., Heemskerk-Gerritsen B.A.M., Heyworth J., Hillemanns P., Hogervorst F.B.L., Hollestelle A., Hooning M., Hopper J., Howell A., Huang G., Hulick P.J., Imyanitov E.N., Sexton A., Christian A., Trainer A., Spigelman A., Fellows A., Shelling A., Fazio A.D., Blackburn A., Crook A., Meiser B., Patterson B., Clarke C., Saunders C., Hunt C., Amor D., Marsh D., Edkins E., Salisbury E., Haan E., Neidermayr E., Macrea F., Farshid G., Lindeman G., Trench G., Mann G., Gill G., Thorne H., Hickie I., Winship I., Flanagan J., Kollias J., Visvader J., Stone J., Burke J., Saunus J., Forbes J., French J., Tucker K., Wu K., Phillips K., Lipton L., Andrews L., Lobb L., Kentwell M., Spurdle M., Cummings M., Gleeson M., Jenkins M., Young M.A., Delatycki M., Wallis M., Burgess M., Price M., Brown M., Southey M., Bogwitz M., Field M., Friedlander M., Gattas M., Saleh M., Hayward N., Pachter N., Cohen P., Duijf P., James P., Simpson P., Fong P., Butow P., Williams R., Kefford R., Scott R., Milne R.L., Balleine R., Dawson S.-J., Lok S., O'Connell S., Greening S., Nightingale S., Edwards S., Fox S., McLachlan S.-A., Lakhani S., Antill Y., Aalfs C., Meijers-Heijboer H., van Engelen K., Gille H., Boere I., Collee M., van Deurzen C., Obdeijn I.-M., van den Ouweland A., Seynaeve C., Siesling S., Verloop J., van Asperen C., van Cronenburg T., Blok R., de Boer M., Garcia E.G., Adank M., Hogervorst F., Jenner D., van Leeuwen F., Rookus M., Russell N., Schmidt M., van den Belt-Dusebout S., Kets C., Mensenkamp A., de Bock T., van der Hout A., Mourits M., Oosterwijk J., Ausems M., Koudijs M., Baxter R., Yip D., Carpenter J., Davis A., Pathmanathan N., Graham D., Sachchithananthan M., Isaacs C., Iwasaki M., Jager A., Jakimovska M., Jakubowska A., Janavicius R., Jankowitz R.C., John E.M., Johnson N., Jones M.E., Jukkola-Vuorinen A., Jung A., Kaaks R., Kang D., Kapoor P.M., Karlan B.Y., Keeman R., Kerin M.J., Khusnutdinova E., Kiiski J.I., Kirk J., Kitahara C.M., Ko Y.-D., Konstantopoulou I., Kosma V.-M., Koutros S., Kubelka-Sabit K., Kwong A., Kyriacou K., Laitman Y., Lambrechts D., Lee E., Leslie G., Lester J., Lesueur F., Lindblom A., Lo W.-Y., Long J., Lophatananon A., Loud J.T., Lubinski J., MacInnis R.J., Maishman T., Makalic E., Mannermaa A., Manoochehri M., Manoukian S., Margolin S., Martinez M.E., Matsuo K., Maurer T., Mavroudis D., Mayes R., McGuffog L., McLean C., Meindl A., Miller A., Miller N., Montagna M., Moreno F., Muir K., Mulligan A.M., Munoz-Garzon V.M., Muranen T.A., Narod S.A., Nassir R., Nathanson K.L., Neuhausen S.L., Nevanlinna H., Neven P., Nielsen F.C., Nikitina-Zake L., Norman A., Offit K., Olah E., Olopade O.I., Olsson H., Orr N., Osorio A., Pankratz V.S., Papp J., Park S.K., Park-Simon T.-W., Parsons M.T., Paul J., Pedersen I.S., Peissel B., Peshkin B., Peterlongo P., Peto J., Plaseska-Karanfilska D., Prajzendanc K., Prentice R., Presneau N., Prokofyeva D., Pujana M.A., Pylkas K., Radice P., Canzian F., Rantala J., Rau-Murthy R., Rennert G., Risch H.A., Robson M., Romero A., Rossing M., Saloustros E., Sanchez-Herrero E., Sandler D.P., Santamarina M., Sawyer E.J., Scheuner M.T., Schmidt D.F., and Schmutzler R.K.
- Abstract
Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes.Copyright © 2020, The Author(s), under exclusive licence to Springer Nature America, Inc.
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- 2020
8. Germline HOXB13 mutations p.G84E and p.R217C do not confer an increased breast cancer risk.
- Author
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Briceno I., Guenel P., Haiman C.A., Hakansson N., Hall P., Harrington P.A., Hart S.N., Hartman M., Hillemanns P., Hopper J.L., Hou M.-F., Hunter D.J., Huo D., Ito H., Iwasaki M., Jakimovska M., Jakubowska A., John E.M., Presneau N., Rack B., Rau-Murthy R., Rennert G., Rennert H.S., Rhenius V., Romero A., Ruebner M., Saloustros E., Schmutzler R.K., Schneeweiss A., Scott C., Shah M., Shen C.-Y., Shu X.-O., Simard J., Sohn C., Southey M.C., Spinelli J.J., Tamimi R.M., Tapper W.J., Teo S.H., Terry M.B., Torres D., Truong T., Untch M., Vachon C.M., van Asperen C.J., Wolk A., Yamaji T., Zheng W., Ziogas A., Ziv E., Torres-Mejia G., Dork T., Swerdlow A.J., Hamann U., Schmidt M.K., Dunning A.M., Pharoah P.D.P., Easton D.F., Hooning M.J., Martens J.W.M., Hollestelle A., Liu J., Prager-van der Smissen W.J.C., Collee J.M., Bolla M.K., Wang Q., Michailidou K., Dennis J., Ahearn T.U., Aittomaki K., Ambrosone C.B., Andrulis I.L., Anton-Culver H., Antonenkova N.N., Arndt V., Arnold N., Aronson K.J., Augustinsson A., Auvinen P., Becher H., Beckmann M.W., Behrens S., Bermisheva M., Bernstein L., Bogdanova N.V., Bogdanova-Markov N., Bojesen S.E., Brauch H., Brenner H., Brucker S.Y., Bruning T., Burwinkel B., Cai Q., Cai H., Campa D., Canzian F., Castelao J.E., Chang-Claude J., Chanock S.J., Choi J.-Y., Christiaens M., Clarke C.L., Couch F.J., Czene K., Daly M.B., Devilee P., Dos-Santos-Silva I., Dwek M., Eccles D.M., Eliassen A.H., Fasching P.A., Figueroa J., Flyger H., Fritschi L., Gago-Dominguez M., Gapstur S.M., Garcia-Closas M., Garcia-Saenz J.A., Gaudet M.M., Giles G.G., Goldberg M.S., Goldgar D.E., Kaaks R., Kang D., Keeman R., Khusnutdinova E., Kim S.-W., Kraft P., Kristensen V.N., Kurian A.W., Le Marchand L., Li J., Lindblom A., Lophatananon A., Luben R.N., Lubinski J., Mannermaa A., Manoochehri M., Manoukian S., Margolin S., Mariapun S., Matsuo K., Maurer T., Mavroudis D., Meindl A., Menon U., Milne R.L., Muir K., Mulligan A.M., Neuhausen S.L., Nevanlinna H., Offit K., Olopade O.I., Olson J.E., Olsson H., Orr N., Park S.K., Peterlongo P., Peto J., Plaseska-Karanfilska D., Briceno I., Guenel P., Haiman C.A., Hakansson N., Hall P., Harrington P.A., Hart S.N., Hartman M., Hillemanns P., Hopper J.L., Hou M.-F., Hunter D.J., Huo D., Ito H., Iwasaki M., Jakimovska M., Jakubowska A., John E.M., Presneau N., Rack B., Rau-Murthy R., Rennert G., Rennert H.S., Rhenius V., Romero A., Ruebner M., Saloustros E., Schmutzler R.K., Schneeweiss A., Scott C., Shah M., Shen C.-Y., Shu X.-O., Simard J., Sohn C., Southey M.C., Spinelli J.J., Tamimi R.M., Tapper W.J., Teo S.H., Terry M.B., Torres D., Truong T., Untch M., Vachon C.M., van Asperen C.J., Wolk A., Yamaji T., Zheng W., Ziogas A., Ziv E., Torres-Mejia G., Dork T., Swerdlow A.J., Hamann U., Schmidt M.K., Dunning A.M., Pharoah P.D.P., Easton D.F., Hooning M.J., Martens J.W.M., Hollestelle A., Liu J., Prager-van der Smissen W.J.C., Collee J.M., Bolla M.K., Wang Q., Michailidou K., Dennis J., Ahearn T.U., Aittomaki K., Ambrosone C.B., Andrulis I.L., Anton-Culver H., Antonenkova N.N., Arndt V., Arnold N., Aronson K.J., Augustinsson A., Auvinen P., Becher H., Beckmann M.W., Behrens S., Bermisheva M., Bernstein L., Bogdanova N.V., Bogdanova-Markov N., Bojesen S.E., Brauch H., Brenner H., Brucker S.Y., Bruning T., Burwinkel B., Cai Q., Cai H., Campa D., Canzian F., Castelao J.E., Chang-Claude J., Chanock S.J., Choi J.-Y., Christiaens M., Clarke C.L., Couch F.J., Czene K., Daly M.B., Devilee P., Dos-Santos-Silva I., Dwek M., Eccles D.M., Eliassen A.H., Fasching P.A., Figueroa J., Flyger H., Fritschi L., Gago-Dominguez M., Gapstur S.M., Garcia-Closas M., Garcia-Saenz J.A., Gaudet M.M., Giles G.G., Goldberg M.S., Goldgar D.E., Kaaks R., Kang D., Keeman R., Khusnutdinova E., Kim S.-W., Kraft P., Kristensen V.N., Kurian A.W., Le Marchand L., Li J., Lindblom A., Lophatananon A., Luben R.N., Lubinski J., Mannermaa A., Manoochehri M., Manoukian S., Margolin S., Mariapun S., Matsuo K., Maurer T., Mavroudis D., Meindl A., Menon U., Milne R.L., Muir K., Mulligan A.M., Neuhausen S.L., Nevanlinna H., Offit K., Olopade O.I., Olson J.E., Olsson H., Orr N., Park S.K., Peterlongo P., Peto J., and Plaseska-Karanfilska D.
- Abstract
In breast cancer, high levels of homeobox protein Hox-B13 (HOXB13) have been associated with disease progression of ER-positive breast cancer patients and resistance to tamoxifen treatment. Since HOXB13 p.G84E is a prostate cancer risk allele, we evaluated the association between HOXB13 germline mutations and breast cancer risk in a previous study consisting of 3,270 familial non-BRCA1/2 breast cancer cases and 2,327 controls from the Netherlands. Although both recurrent HOXB13 mutations p.G84E and p.R217C were not associated with breast cancer risk, the risk estimation for p.R217C was not very precise. To provide more conclusive evidence regarding the role of HOXB13 in breast cancer susceptibility, we here evaluated the association between HOXB13 mutations and increased breast cancer risk within 81 studies of the international Breast Cancer Association Consortium containing 68,521 invasive breast cancer patients and 54,865 controls. Both HOXB13 p.G84E and p.R217C did not associate with the development of breast cancer in European women, neither in the overall analysis (OR=1.035, 95% CI=0.859-1.246, P=0.718 and OR=0.798, 95% CI=0.482-1.322, P=0.381 respectively), nor in specific high-risk subgroups or breast cancer subtypes. Thus, although involved in breast cancer progression, HOXB13 is not a material breast cancer susceptibility gene.
- Published
- 2020
9. Germline HOXB13 mutations p.G84E and p.R217C do not confer an increased breast cancer risk
- Author
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Liu, J, van der Smissen, WJCP, Collee, JM, Bolla, MK, Wang, Q, Michailidou, K, Dennis, J, Ahearn, TU, Aittomaki, K, Ambrosone, CB, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Arnold, N, Aronson, KJ, Augustinsson, A, Auvinen, P, Becher, H, Beckmann, MW, Behrens, S, Bermisheva, M, Bernstein, L, Bogdanova, N, Bogdanova-Markov, N, Bojesen, SE, Brauch, H, Brenner, H, Briceno, I, Brucker, SY, Bruening, T, Burwinkel, B, Cai, Q, Cai, H, Campa, D, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Choi, J-Y, Christiaens, M, Clarke, CL, Couch, FJ, Czene, K, Daly, MB, Devilee, P, dos-Santos-Silva, I, Dwek, M, Eccles, DM, Eliassen, AH, Fasching, PA, Figueroa, J, Flyger, H, Fritschi, L, Gago-Dominguez, M, Gapstur, SM, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, Goldgar, DE, Guenel, P, Haiman, CA, Hakansson, N, Hall, P, Harrington, PA, Hart, SN, Hartman, M, Hillemanns, P, Hopper, JL, Hou, M-F, Hunter, DJ, Huo, D, Ito, H, Iwasaki, M, Jakimovska, M, Jakubowska, A, John, EM, Kaaks, R, Kang, D, Keeman, R, Khusnutdinova, E, Kim, S-W, Kraft, P, Kristensen, VN, Kurian, AW, Le Marchand, L, Li, J, Lindblom, A, Lophatananon, A, Luben, RN, Lubinski, J, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Mariapun, S, Matsuo, K, Maurer, T, Mavroudis, D, Meindl, A, Menon, U, Milne, RL, Muir, K, Mulligan, AM, Neuhausen, SL, Nevanlinna, H, Offit, K, Olopade, O, Olson, JE, Olsson, H, Orr, N, Park, SK, Peterlongo, P, Peto, J, Plaseska-Karanfilska, D, Presneau, N, Rack, B, Rau-Murthy, R, Rennert, G, Rennert, HS, Rhenius, V, Romero, A, Ruebner, M, Saloustros, E, Schmutzler, RK, Schneeweiss, A, Scott, C, Shah, M, Shen, C-Y, Shu, X-O, Simard, J, Sohn, C, Southey, MC, Spinelli, JJ, Tamimi, RM, Tapper, WJ, Teo, SH, Terry, MB, Torres, D, Truong, T, Untch, M, Vachon, CM, van Asperen, CJ, Wolk, A, Yamaji, T, Zheng, W, Ziogas, A, Ziv, E, Torres-Mejia, G, Doerk, T, Swerdlow, AJ, Hamann, U, Schmidt, MK, Dunning, AM, Pharoah, PDP, Easton, DF, Hooning, MJ, Martens, JWM, Hollestelle, A, Liu, J, van der Smissen, WJCP, Collee, JM, Bolla, MK, Wang, Q, Michailidou, K, Dennis, J, Ahearn, TU, Aittomaki, K, Ambrosone, CB, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Arnold, N, Aronson, KJ, Augustinsson, A, Auvinen, P, Becher, H, Beckmann, MW, Behrens, S, Bermisheva, M, Bernstein, L, Bogdanova, N, Bogdanova-Markov, N, Bojesen, SE, Brauch, H, Brenner, H, Briceno, I, Brucker, SY, Bruening, T, Burwinkel, B, Cai, Q, Cai, H, Campa, D, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Choi, J-Y, Christiaens, M, Clarke, CL, Couch, FJ, Czene, K, Daly, MB, Devilee, P, dos-Santos-Silva, I, Dwek, M, Eccles, DM, Eliassen, AH, Fasching, PA, Figueroa, J, Flyger, H, Fritschi, L, Gago-Dominguez, M, Gapstur, SM, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, Goldgar, DE, Guenel, P, Haiman, CA, Hakansson, N, Hall, P, Harrington, PA, Hart, SN, Hartman, M, Hillemanns, P, Hopper, JL, Hou, M-F, Hunter, DJ, Huo, D, Ito, H, Iwasaki, M, Jakimovska, M, Jakubowska, A, John, EM, Kaaks, R, Kang, D, Keeman, R, Khusnutdinova, E, Kim, S-W, Kraft, P, Kristensen, VN, Kurian, AW, Le Marchand, L, Li, J, Lindblom, A, Lophatananon, A, Luben, RN, Lubinski, J, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Mariapun, S, Matsuo, K, Maurer, T, Mavroudis, D, Meindl, A, Menon, U, Milne, RL, Muir, K, Mulligan, AM, Neuhausen, SL, Nevanlinna, H, Offit, K, Olopade, O, Olson, JE, Olsson, H, Orr, N, Park, SK, Peterlongo, P, Peto, J, Plaseska-Karanfilska, D, Presneau, N, Rack, B, Rau-Murthy, R, Rennert, G, Rennert, HS, Rhenius, V, Romero, A, Ruebner, M, Saloustros, E, Schmutzler, RK, Schneeweiss, A, Scott, C, Shah, M, Shen, C-Y, Shu, X-O, Simard, J, Sohn, C, Southey, MC, Spinelli, JJ, Tamimi, RM, Tapper, WJ, Teo, SH, Terry, MB, Torres, D, Truong, T, Untch, M, Vachon, CM, van Asperen, CJ, Wolk, A, Yamaji, T, Zheng, W, Ziogas, A, Ziv, E, Torres-Mejia, G, Doerk, T, Swerdlow, AJ, Hamann, U, Schmidt, MK, Dunning, AM, Pharoah, PDP, Easton, DF, Hooning, MJ, Martens, JWM, and Hollestelle, A
- Abstract
In breast cancer, high levels of homeobox protein Hox-B13 (HOXB13) have been associated with disease progression of ER-positive breast cancer patients and resistance to tamoxifen treatment. Since HOXB13 p.G84E is a prostate cancer risk allele, we evaluated the association between HOXB13 germline mutations and breast cancer risk in a previous study consisting of 3,270 familial non-BRCA1/2 breast cancer cases and 2,327 controls from the Netherlands. Although both recurrent HOXB13 mutations p.G84E and p.R217C were not associated with breast cancer risk, the risk estimation for p.R217C was not very precise. To provide more conclusive evidence regarding the role of HOXB13 in breast cancer susceptibility, we here evaluated the association between HOXB13 mutations and increased breast cancer risk within 81 studies of the international Breast Cancer Association Consortium containing 68,521 invasive breast cancer patients and 54,865 controls. Both HOXB13 p.G84E and p.R217C did not associate with the development of breast cancer in European women, neither in the overall analysis (OR = 1.035, 95% CI = 0.859-1.246, P = 0.718 and OR = 0.798, 95% CI = 0.482-1.322, P = 0.381 respectively), nor in specific high-risk subgroups or breast cancer subtypes. Thus, although involved in breast cancer progression, HOXB13 is not a material breast cancer susceptibility gene.
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- 2020
10. Two truncating variants in FANCC and breast cancer risk
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Dork, T, Peterlongo, P, Mannermaa, A, Bolla, MK, Wang, Q, Dennis, J, Ahearn, T, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Augustinsson, A, Freeman, LEB, Beckmann, MW, Beeghly-Fadiel, A, Behrens, S, Bermisheva, M, Blomqvist, C, Bogdanova, N, Bojesen, SE, Brauch, H, Brenner, H, Burwinkel, B, Canzian, F, Chan, TL, Chang-Claude, J, Chanock, SJ, Choi, J-Y, Christiansen, H, Clarke, CL, Couch, FJ, Czene, K, Daly, MB, dos-Santos-Silva, I, Dwek, M, Eccles, DM, Ekici, AB, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Flyger, H, Fritschisl, L, Gabrielson, M, Gago-Dominguez, M, Gao, C, Gapstur, SM, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, Goldgar, DE, Guenel, P, Haeberle, L, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hartman, M, Hauke, J, Hein, A, Hillemanns, P, Hogervorst, FBL, Hooning, MJ, Hopper, JL, Howell, T, Huo, D, Ito, H, Iwasaki, M, Jakubowska, A, Janni, W, John, EM, Jung, A, Kaaks, R, Kang, D, Kapoor, PM, Khusnutdinova, E, Kim, S-W, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Kwon, A, Lambrechts, D, Le Marchand, L, Li, J, Lindstrom, S, Linet, M, Lo, W-Y, Long, J, Lophatananon, A, Lubinski, J, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, E, Matsuo, K, Mavroudis, D, Meindl, A, Menon, U, Milne, RL, Taib, NAM, Muir, K, Mulligan, AM, Neuhausen, SL, Nevanlinna, H, Neven, P, Newman, WG, Offit, K, Olopade, O, Olshan, AF, Olson, JE, Olsson, H, Park, SK, Park-Simon, T-W, Peto, J, Plaseska-Karanfilska, D, Pohl-Rescigno, E, Presneau, N, Rack, B, Radice, P, Rashid, MU, Rennert, G, Rennert, HS, Romero, A, Ruebner, M, Saloustros, E, Schmidt, MK, Schmutzler, RK, Schneider, MO, Schoemaker, MJ, Scott, C, Shen, C-Y, Shu, X-O, Simard, J, Slager, S, Smichkoska, S, Southey, MC, Spinelli, JJ, Stone, J, Surowy, H, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Teo, SH, Terry, MB, Toland, AE, Tollenaar, RAEM, Torres, D, Torres-Mejia, G, Troester, MA, Truong, T, Tsugane, S, Untch, M, Vachon, CM, van den Ouweland, AMW, van Veen, EM, Vijai, J, Wendt, C, Wolk, A, Yu, J-C, Zheng, W, Ziogas, A, Ziv, E, Dunning, AM, Pharoah, PDP, Schindler, D, Devilee, P, Easton, DF, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, CS, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Borresen-Dale, A-L, Alnaes, GIG, Sahlberg, KK, Ottestad, L, Karesen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebraten, O, Naume, B, Fossa, A, Kiserud, CE, Reinertsen, K, Helland, A, Riis, M, Geisler, J, Dork, T, Peterlongo, P, Mannermaa, A, Bolla, MK, Wang, Q, Dennis, J, Ahearn, T, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Augustinsson, A, Freeman, LEB, Beckmann, MW, Beeghly-Fadiel, A, Behrens, S, Bermisheva, M, Blomqvist, C, Bogdanova, N, Bojesen, SE, Brauch, H, Brenner, H, Burwinkel, B, Canzian, F, Chan, TL, Chang-Claude, J, Chanock, SJ, Choi, J-Y, Christiansen, H, Clarke, CL, Couch, FJ, Czene, K, Daly, MB, dos-Santos-Silva, I, Dwek, M, Eccles, DM, Ekici, AB, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Flyger, H, Fritschisl, L, Gabrielson, M, Gago-Dominguez, M, Gao, C, Gapstur, SM, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, Goldgar, DE, Guenel, P, Haeberle, L, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hartman, M, Hauke, J, Hein, A, Hillemanns, P, Hogervorst, FBL, Hooning, MJ, Hopper, JL, Howell, T, Huo, D, Ito, H, Iwasaki, M, Jakubowska, A, Janni, W, John, EM, Jung, A, Kaaks, R, Kang, D, Kapoor, PM, Khusnutdinova, E, Kim, S-W, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Kwon, A, Lambrechts, D, Le Marchand, L, Li, J, Lindstrom, S, Linet, M, Lo, W-Y, Long, J, Lophatananon, A, Lubinski, J, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, E, Matsuo, K, Mavroudis, D, Meindl, A, Menon, U, Milne, RL, Taib, NAM, Muir, K, Mulligan, AM, Neuhausen, SL, Nevanlinna, H, Neven, P, Newman, WG, Offit, K, Olopade, O, Olshan, AF, Olson, JE, Olsson, H, Park, SK, Park-Simon, T-W, Peto, J, Plaseska-Karanfilska, D, Pohl-Rescigno, E, Presneau, N, Rack, B, Radice, P, Rashid, MU, Rennert, G, Rennert, HS, Romero, A, Ruebner, M, Saloustros, E, Schmidt, MK, Schmutzler, RK, Schneider, MO, Schoemaker, MJ, Scott, C, Shen, C-Y, Shu, X-O, Simard, J, Slager, S, Smichkoska, S, Southey, MC, Spinelli, JJ, Stone, J, Surowy, H, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Teo, SH, Terry, MB, Toland, AE, Tollenaar, RAEM, Torres, D, Torres-Mejia, G, Troester, MA, Truong, T, Tsugane, S, Untch, M, Vachon, CM, van den Ouweland, AMW, van Veen, EM, Vijai, J, Wendt, C, Wolk, A, Yu, J-C, Zheng, W, Ziogas, A, Ziv, E, Dunning, AM, Pharoah, PDP, Schindler, D, Devilee, P, Easton, DF, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, CS, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Borresen-Dale, A-L, Alnaes, GIG, Sahlberg, KK, Ottestad, L, Karesen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebraten, O, Naume, B, Fossa, A, Kiserud, CE, Reinertsen, K, Helland, A, Riis, M, and Geisler, J
- Abstract
Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44-1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.
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- 2019
11. Dietary determinants of obesity among Mexican women
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Sahrai, M.S., primary, Huybrechts, I., additional, Gunter, M., additional, Torres-Mejia, G., additional, Romieu, I., additional, and Dossus, L., additional
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- 2018
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12. PO-310 Genomic features of premenopausal breast cancers in latin american women: the PRECAMA study
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Olivier, M., primary, Bouaoun, L., additional, Torres-Mejia, G., additional, Garmendia, M.L., additional, Sanchez, G., additional, Porras, C., additional, Romieu, I., additional, Porter, P., additional, and Rinaldi, S., additional
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- 2018
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13. Menarche, menopause, and breast cancer risk: individual participant meta-analysis, including 118 964 women with breast cancer from 117 epidemiological studies
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Beral, V, Bull, D, Pirie, K, Reeves, G, Peto, R, Skegg, D, LaVecchia, C, Magnusson, C, Pike, MC, Thomas, D, Hamajima, N, Hirose, K, Tajima, K, Rohan, T, Friedenreich, CM, Calle, EE, Gapstur, SM, Patel, AV, Coates, RJ, Liff, JM, Talamini, R, Chantarakul, N, Koetsawang, S, Rachawat, D, Marcou, Y, Kakouri, E, Duffy, SW, Morabia, A, Schuman, L, Stewart, W, Szklo, M, Coogan, PF, Palmer, JR, Rosenberg, L, Band, P, Coldman, AJ, Gallagher, RP, Hislop, TG, Yang, P, Cummings, SR, Canfell, K, Sitas, F, Chao, P, Lissowska, J, Horn-Ross, PL, John, EM, Kolonel, LM, Nomura, AMY, Ghiasvand, R, Hu, J, Johnson, KC, Mao, Y, Callaghan, K, Crossley, B, Goodill, A, Green, J, Hermon, C, Key, T, Lindgard, I, Liu, B, Collins, R, Doll, R, Bishop, T, Fentiman, IS, De Sanjose, S, Gonzaler, CA, Lee, N, Marchbanks, P, Ory, HW, Peterson, HB, Wingo, P, Ebeling, K, Kunde, D, Nishan, P, Hopper, JL, Eliassen, H, Gajalakshmi, V, Martin, N, Pardthaisong, T, Silpisornkosol, S, Theetranont, C, Boosiri, B, Chutivongse, S, Jimakorn, P, Virutamasen, P, Wongsrichanalai, C, Neugut, A, Santella, R, Baines, CJ, Kreiger, N, Miller, AB, Wall, C, Tjonneland, A, Jorgensen, T, Stahlberg, C, Pedersen, AT, Flesch-Janys, D, Hakansson, N, Cauley, J, Heuch, I, Adami, HO, Persson, I, Weiderpass, E, Chang-Claude, J, Kaaks, R, McCredie, M, Paul, C, Skegg, DCG, Spears, GFS, Iwasaki, M, Tsugane, S, Anderson, G, Daling, JR, Hampton, J, Hutchinson, WB, Li, CI, Malone, K, Mandelson, M, Newcomb, P, Noonan, EA, Ray, RM, Stanford, JL, Tang, MTC, Thomas, DB, Weiss, NS, White, E, Izquierdo, A, Viladiu, P, Fourkala, EO, Jacobs, I, Menon, U, Ryan, A, Cuevas, HR, Ontiveros, P, Palet, A, Salazar, SB, Aristizabal, N, Cuadros, A, Tryggvadottir, L, Tulinius, H, Riboli, E, Andrieu, N, Bachelot, A, Le, MG, Bremond, A, Gairard, B, Lansac, J, Piana, L, Renaud, R, Clavel-Chapelon, F, Fournier, A, Touillaud, M, Mesrine, S, Chabbert-Buffet, N, Boutron-Ruault, MC, Wolk, A, Torres-Mejia, G, Franceschi, S, Romieu, I, Boyle, P, Lubin, F, Modan, B, Ron, E, Wax, Y, Friedman, GD, Hiatt, RA, Levi, F, Kosmelj, K, Primic-Zakelj, M, Ravnihar, B, Stare, J, Ekbom, A, Erlandsson, G, Beeson, WL, Fraser, G, Peto, J, Hanson, RL, Leske, MC, Mahoney, MC, Nasca, PC, Varma, AO, Weinstein, AL, Hartman, ML, Olsson, H, Goldbohm, RA, van den Brandt, PA, Palli, D, Teitelbaum, S, Apelo, RA, Baens, J, de la Cruz, JR, Javier, B, Lacaya, LB, Ngelangel, CA, La Vecchia, C, Negri, E, Marubini, E, Ferraroni, M, Gerber, M, Richardson, S, Segala, C, Gatei, D, Kenya, P, Kungu, A, Mati, JG, Brinton, LA, Freedman, M, Hoover, R, Schairer, C, Ziegler, R, Banks, E, Spirtas, R, Lee, HP, Rookus, MA, van Leeuwen, FE, Schoenberg, JA, Graff-Iversen, S, Selmer, R, Jones, L, McPherson, K, Neil, A, Vessey, M, Yeates, D, Mabuchi, K, Preston, D, Hannaford, P, Kay, C, McCann, SE, Rosero-Bixby, L, Gao, YT, Jin, F, Yuan, J-M, Wei, HY, Yun, T, Zhiheng, C, Berry, G, Booth, JC, Jelihovsky, T, MacLennan, R, Shearman, R, Hadjisavvas, A, Kyriacou, K, Loisidou, M, Zhou, X, Wang, Q-S, Kawai, M, Minami, Y, Tsuji, I, Lund, E, Kumle, M, Stalsberg, H, Shu, XO, Zheng, W, Monninkhof, EM, Onland-Moret, NC, Peeters, PHM, Katsouyanni, K, Trichopoulou, A, Trichopoulos, D, Tzonou, A, Baltzell, KA, Dabancens, A, Martinez, L, Molina, R, Salas, O, Alexander, FE, Anderson, K, Folsom, AR, Gammon, MD, Hulka, BS, Millikan, R, Chilvers, CED, Lumachi, F, Bain, C, Schofield, F, Siskind, V, Rebbeck, TR, Bernstein, LR, Enger, S, Haile, RW, Paganini-Hill, A, Ross, RK, Ursin, G, Wu, AH, Yu, MC, Ewertz, DM, Clarke, EA, Bergkvist, L, Anderson, GL, Gass, M, O'Sullivan, MJ, Kalache, A, Farley, TMM, Holck, S, Meirik, O, Fukao, A, Factors, CGH, Grp, SHNHSIIIR, Epidemiologie, RS: CAPHRI School for Public Health and Primary Care, RS: GROW - School for Oncology and Reproduction, RS: GROW - R1 - Prevention, RS: CAPHRI - R5 - Optimising Patient Care, and Collaborative Group on Hormonal Factors in Breast Cancer
- Subjects
Aging ,Breast cancer, Risk factors, Menopause, Menarche, cancer, malignancy ,Ethnic origin ,Disease ,0302 clinical medicine ,Breast cancer ,Risk Factors ,Neoplasms ,Receptors ,Epidemiology ,80 and over ,030212 general & internal medicine ,skin and connective tissue diseases ,Aged, 80 and over ,Patient ,Obstetrics ,Reproduction ,Smoking ,Age Factors ,Middle Aged ,Reproducibility ,3. Good health ,Menopause ,Receptors, Estrogen ,Oncology ,030220 oncology & carcinogenesis ,Menarche ,Hormonal therapy ,Female ,epidemiology ,Cancer Type - Breast Cancer ,history ,Adult ,Risk ,trends ,medicine.medical_specialty ,Design ,Neoplasms, Hormone-Dependent ,Requiring prolonged observation ,Hormone Replacement Therapy ,Oncology and Carcinogenesis ,Breast Neoplasms ,and over ,Validity ,methods ,03 medical and health sciences ,Age ,Clinical Research ,Breast Cancer ,medicine ,Humans ,cancer ,Neoplasm Invasiveness ,Women ,Oncology & Carcinogenesis ,Hormone-Dependent ,breast ,Aged ,Gynecology ,Collaborative Group on Hormonal Factors in Breast Cancer ,therapy ,business.industry ,Contraception/Reproduction ,Research ,Estrogens ,Etiology - Resources and Infrastructure ,medicine.disease ,Estrogen ,Good Health and Well Being ,cessation ,Premenopause ,Risk factors ,Relative risk ,Recall ,business ,malignancy ,Meta-Analysis - Abstract
Background Menarche and menopause mark the onset and cessation, respectively, of ovarian activity associated with reproduction, and affect breast cancer risk. Our aim was to assess the strengths of their effects and determine whether they depend on characteristics of the tumours or the affected women.Methods Individual data from 117 epidemiological studies, including 118 964 women with invasive breast cancer and 306 091 without the disease, none of whom had used menopausal hormone therapy, were included in the analyses. We calculated adjusted relative risks (RRs) associated with menarche and menopause for breast cancer overall, and by tumour histology and by oestrogen receptor expression.Findings Breast cancer risk increased by a factor of 1.050 (95% CI 1.044-1.057; p < 0.0001) for every year younger at menarche, and independently by a smaller amount (1.029, 1.025-1.032; p < 0.0001), for every year older at menopause. Premenopausal women had a greater risk of breast cancer than postmenopausal women of an identical age (RR at age 45-54 years 1.43, 1.33-1.52, p < 0.001). All three of these associations were attenuated by increasing adiposity among postmenopausal women, but did not vary materially by women's year of birth, ethnic origin, childbearing history, smoking, alcohol consumption, or hormonal contraceptive use. All three associations were stronger for lobular than for ductal tumours (p < 0.006 for each comparison). The effect of menopause in women of an identical age and trends by age at menopause were stronger for oestrogen receptor-positive disease than for oestrogen receptor-negative disease (p < 0.01 for both comparisons).Interpretation The effects of menarche and menopause on breast cancer risk might not be acting merely by lengthening women's total number of reproductive years. Endogenous ovarian hormones are more relevant for oestrogen receptor-positive disease than for oestrogen receptor-negative disease and for lobular than for ductal tumours.Funding Cancer Research UK.
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- 2012
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14. Menarche, menopause, and breast cancer risk: individual participant meta-analysis, including 118 964 women with breast cancer from 117 epidemiological studies
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Beral, V. Bull, D. Pirie, K. Reeves, G. Peto, R. and Skegg, D. LaVecchia, C. Magnusson, C. Pike, M. C. and Thomas, D. Hamajima, N. Hirose, K. Tajima, K. Rohan, T. and Friedenreich, C. M. Calle, E. E. Gapstur, S. M. Patel, A. V. Coates, R. J. Liff, J. M. Talamini, R. and Chantarakul, N. Koetsawang, S. Rachawat, D. Marcou, Y. and Kakouri, E. Duffy, S. W. Morabia, A. Schuman, L. and Stewart, W. Szklo, M. Coogan, P. F. Palmer, J. R. and Rosenberg, L. Band, P. Coldman, A. J. Gallagher, R. P. and Hislop, T. G. Yang, P. Cummings, S. R. Canfell, K. and Sitas, F. Chao, P. Lissowska, J. Horn-Ross, P. L. John, E. M. Kolonel, L. M. Nomura, A. M. Y. Ghiasvand, R. Hu, J. Johnson, K. C. Mao, Y. Callaghan, K. Crossley, B. and Goodill, A. Green, J. Hermon, C. Key, T. Lindgard, I. and Liu, B. Collins, R. Doll, R. Bishop, T. Fentiman, I. S. De Sanjose, S. Gonzaler, C. A. Lee, N. Marchbanks, P. and Ory, H. W. Peterson, H. B. Wingo, P. Ebeling, K. and Kunde, D. Nishan, P. Hopper, J. L. Eliassen, H. and Gajalakshmi, V. Martin, N. Pardthaisong, T. Silpisornkosol, S. Theetranont, C. Boosiri, B. Chutivongse, S. Jimakorn, P. Virutamasen, P. Wongsrichanalai, C. Neugut, A. and Santella, R. Baines, C. J. Kreiger, N. Miller, A. B. and Wall, C. Tjonneland, A. Jorgensen, T. Stahlberg, C. and Pedersen, A. Tonnes Flesch-Janys, D. Hakansson, N. Cauley, J. Heuch, I. Adami, H. O. Persson, I. Weiderpass, E. and Chang-Claude, J. Kaaks, R. McCredie, M. Paul, C. Spears, G. F. S. Iwasaki, M. Tsugane, S. Anderson, G. Daling, J. R. Hampton, J. Hutchinson, W. B. Li, C. I. Malone, K. and Mandelson, M. Newcomb, P. Noonan, E. A. Ray, R. M. and Stanford, J. L. Tang, M. T. C. Weiss, N. S. White, E. and Izquierdo, A. Viladiu, P. Fourkala, E. O. Jacobs, I. and Menon, U. Ryan, A. Cuevas, H. R. Ontiveros, P. Palet, A. and Salazar, S. B. Aristizabal, N. Cuadros, A. and Tryggvadottir, L. Tulinius, H. Riboli, E. Andrieu, N. and Bachelot, A. Le, M. G. Bremond, A. Gairard, B. Lansac, J. Piana, L. Renaud, R. Clavel-Chapelon, F. Fournier, A. and Touillaud, M. Mesrine, S. Chabbert-Buffet, N. and Boutron-Ruault, M. C. Wolk, A. Torres-Mejia, G. Franceschi, S. Romieu, I. Boyle, P. Lubin, F. Modan, B. Ron, E. and Wax, Y. Friedman, G. D. Hiatt, R. A. Levi, F. and Kosmelj, K. Primic-Zakelj, M. Ravnihar, B. Stare, J. and Ekbom, A. Erlandsson, G. Beeson, W. L. Fraser, G. Peto, J. Hanson, R. L. Leske, M. C. Mahoney, M. C. Nasca, P. C. Varma, A. O. Weinstein, A. L. Hartman, M. L. Olsson, H. Goldbohm, R. A. van den Brandt, P. A. Palli, D. and Teitelbaum, S. Apelo, R. A. Baens, J. de la Cruz, J. R. and Javier, B. Lacaya, L. B. Ngelangel, C. A. La Vecchia, C. and Negri, E. Marubini, E. Ferraroni, M. Gerber, M. and Richardson, S. Segala, C. Gatei, D. Kenya, P. Kungu, A. and Mati, J. G. Brinton, L. A. Freedman, M. Hoover, R. and Schairer, C. Ziegler, R. Banks, E. Spirtas, R. Lee, H. P. Rookus, M. A. van Leeuwen, F. E. Schoenberg, J. A. and Graff-Iversen, S. Selmer, R. Jones, L. McPherson, K. and Neil, A. Vessey, M. Yeates, D. Mabuchi, K. Preston, D. and Hannaford, P. Kay, C. McCann, S. E. Rosero-Bixby, L. and Gao, Y. T. Jin, F. Yuan, J-M Wei, H. Y. Yun, T. and Zhiheng, C. Berry, G. Booth, J. Cooper Jelihovsky, T. and MacLennan, R. Shearman, R. Hadjisavvas, A. Kyriacou, K. and Loisidou, M. Zhou, X. Wang, Q-S Kawai, M. Minami, Y. and Tsuji, I. Lund, E. Kumle, M. Stalsberg, H. Shu, X. O. and Zheng, W. Monninkhof, E. M. Onland-Moret, N. C. Peeters, P. H. M. Katsouyanni, K. Trichopoulou, A. Trichopoulos, D. and Tzonou, A. Baltzell, K. A. Dabancens, A. Martinez, L. and Molina, R. Salas, O. Alexander, F. E. Anderson, K. and Folsom, A. R. Gammon, M. D. Hulka, B. S. Millikan, R. and Chilvers, C. E. D. Lumachi, F. Bain, C. Schofield, F. and Siskind, V. Rebbeck, T. R. Bernstein, L. R. Enger, S. and Haile, R. W. Paganini-Hill, A. Ross, R. K. Ursin, G. Wu, A. H. Yu, M. C. Ewertz, Denmark M. Clarke, E. A. and Bergkvist, L. Gass, M. O'Sullivan, M. J. Kalache, A. and Farley, T. M. M. Holck, S. Meirik, O. Fukao, A. and Collaborative Grp Hormonal Factors Collaborative Grp Hormonal Factors S Hankinson Nurses Hlth Study I II
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skin and connective tissue diseases - Abstract
Background Menarche and menopause mark the onset and cessation, respectively, of ovarian activity associated with reproduction, and affect breast cancer risk. Our aim was to assess the strengths of their effects and determine whether they depend on characteristics of the tumours or the affected women. Methods Individual data from 117 epidemiological studies, including 118 964 women with invasive breast cancer and 306 091 without the disease, none of whom had used menopausal hormone therapy, were included in the analyses. We calculated adjusted relative risks (RRs) associated with menarche and menopause for breast cancer overall, and by tumour histology and by oestrogen receptor expression. Findings Breast cancer risk increased by a factor of 1.050 (95% CI 1.044-1.057; p < 0.0001) for every year younger at menarche, and independently by a smaller amount (1.029, 1.025-1.032; p < 0.0001), for every year older at menopause. Premenopausal women had a greater risk of breast cancer than postmenopausal women of an identical age (RR at age 45-54 years 1.43, 1.33-1.52, p < 0.001). All three of these associations were attenuated by increasing adiposity among postmenopausal women, but did not vary materially by women’s year of birth, ethnic origin, childbearing history, smoking, alcohol consumption, or hormonal contraceptive use. All three associations were stronger for lobular than for ductal tumours (p < 0.006 for each comparison). The effect of menopause in women of an identical age and trends by age at menopause were stronger for oestrogen receptor-positive disease than for oestrogen receptor-negative disease (p < 0.01 for both comparisons). Interpretation The effects of menarche and menopause on breast cancer risk might not be acting merely by lengthening women’s total number of reproductive years. Endogenous ovarian hormones are more relevant for oestrogen receptor-positive disease than for oestrogen receptor-negative disease and for lobular than for ductal tumours. Funding Cancer Research UK.
- Published
- 2012
15. Genetic variants in interleukin genes are associated with breast cancer risk and survival in a genetically admixed population: the Breast Cancer Health Disparities Study
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Slattery, M. L., primary, Herrick, J. S., additional, Torres-Mejia, G., additional, John, E. M., additional, Giuliano, A. R., additional, Hines, L. M., additional, Stern, M. C., additional, Baumgartner, K. B., additional, Presson, A. P., additional, and Wolff, R. K., additional
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- 2014
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16. Electrical Properties of Normal Cervical Human Cells in Suspension: The Relation between Normal Tissue and Electrical Impedance Spectrum.
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Herrera, Lyda V., Chaparro, C., Corzo, Sandra P., Pinto, Sandra M., Torres-Mejia, G. Yáñez Maryen, Méndez-Sanchez, S. C., and Miranda, David A.
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- 2016
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17. Response to Comment on: Torres-Mejia et al. Moderate-Intensity Physical Activity Ameliorates the Breast Cancer Risk in Diabetic Women. Diabetes Care 2012;35:2500-2502
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Torres-Mejia, G., primary, Ortega-Olvera, C., additional, Martinez-Matsushita, L., additional, Lazcano-Ponce, E., additional, Ziv, E., additional, and Angeles-Llerenas, A., additional
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- 2013
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18. Genetic variation in genes involved in hormones, inflammation and energetic factors and breast cancer risk in an admixed population
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Slattery, M. L., primary, John, E. M., additional, Torres-Mejia, G., additional, Lundgreen, A., additional, Herrick, J. S., additional, Baumgartner, K. B., additional, Hines, L. M., additional, Stern, M. C., additional, and Wolff, R. K., additional
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- 2012
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19. Epidermal Growth Factor Receptor Polymorphisms and Breast Cancer Among Hispanic and Non-Hispanic White Women: The Breast Cancer Health Disparities Study
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Connor, A.E., Baumgartner, R.N., Baumgartner, K.B., Pinkston, C.M., John, E.M., Torres-Mejía, G., Hines, L.M., Giuliano, A.R., Wolff, R.K., and Slattery, M.L.
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- 2013
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20. Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women.
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Adedokun B, Du Z, Gao G, Ahearn TU, Lunetta KL, Zirpoli G, Figueroa J, John EM, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Press MF, Deming-Halverson SL, Rodriguez-Gil JL, Yao S, Ogundiran TO, Ojengbede O, Blot W, Troester MA, Nathanson KL, Hennis A, Nemesure B, Ambs S, Fiorica PN, Sucheston-Campbell LE, Bensen JT, Kushi LH, Torres-Mejia G, Hu D, Fejerman L, Bolla MK, Dennis J, Dunning AM, Easton DF, Michailidou K, Pharoah PDP, Wang Q, Sandler DP, Taylor JA, O'Brien KM, Kitahara CM, Falusi AG, Babalola C, Yarney J, Awuah B, Addai-Wiafe B, Chanock SJ, Olshan AF, Ambrosone CB, Conti DV, Ziv E, Olopade OI, Garcia-Closas M, Palmer JR, Haiman CA, and Huo D
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- Female, Genome-Wide Association Study, Humans, Introns, Polymorphism, Single Nucleotide, Black People genetics, Breast Neoplasms genetics, Genetic Predisposition to Disease, Quantitative Trait Loci, White People genetics
- Abstract
Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first identify variants that are associated with breast cancer at P < 0.05 from African ancestry GWAS meta-analysis (9241 cases and 10193 controls), then meta-analyze with European ancestry GWAS data (122977 cases and 105974 controls) from the Breast Cancer Association Consortium. The approach identifies four loci for overall breast cancer risk [1p13.3, 5q31.1, 15q24 (two independent signals), and 15q26.3] and two loci for estrogen receptor-negative disease (1q41 and 7q11.23) at genome-wide significance. Four of the index single nucleotide polymorphisms (SNPs) lie within introns of genes (KCNK2, C5orf56, SCAMP2, and SIN3A) and the other index SNPs are located close to GSTM4, AMPD2, CASTOR2, and RP11-168G16.2. Here we present risk loci with consistent direction of associations in African and European descendants. The study suggests that replication across multiple ancestry populations can help improve the understanding of breast cancer genetics and identify causal variants.
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- 2021
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21. Identification of novel common breast cancer risk variants at the 6q25 locus among Latinas.
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Hoffman J, Fejerman L, Hu D, Huntsman S, Li M, John EM, Torres-Mejia G, Kushi L, Ding YC, Weitzel J, Neuhausen SL, Lott P, Echeverry M, Carvajal-Carmona L, Burchard E, Eng C, Long J, Zheng W, Olopade O, Huo D, Haiman C, and Ziv E
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- Adult, Aged, Breast, Case-Control Studies, Chromosome Mapping, Datasets as Topic, Female, Genome-Wide Association Study, Hispanic or Latino genetics, Humans, Middle Aged, Polymorphism, Single Nucleotide, Breast Neoplasms genetics, Chromosomes, Human, Pair 6 genetics, Genetic Loci genetics, Genetic Predisposition to Disease
- Abstract
Background: Breast cancer is a partially heritable trait and genome-wide association studies (GWAS) have identified over 180 common genetic variants associated with breast cancer. We have previously performed breast cancer GWAS in Latinas and identified a strongly protective single nucleotide polymorphism (SNP) at 6q25, with the protective minor allele originating from indigenous American ancestry. Here we report on fine mapping of the 6q25 locus in an expanded sample of Latinas., Methods: We performed GWAS in 2385 cases and 6416 controls who were either US Latinas or Mexican women. We replicated the top SNPs in 2412 cases and 1620 controls of US Latina, Mexican, and Colombian women. In addition, we validated the top novel variants in studies of African, Asian and European ancestry. In each dataset we used logistic regression models to test the association between SNPs and breast cancer risk and corrected for genetic ancestry using either principal components or genetic ancestry inferred from ancestry informative markers using a model-based approach., Results: We identified a novel set of SNPs at the 6q25 locus associated with genome-wide levels of significance (p = 3.3 × 10
- 8 - 6.0 × 10- 9 ) not in linkage disequilibrium (LD) with variants previously reported at this locus. These SNPs were in high LD (r2 > 0.9) with each other, with the top SNP, rs3778609, associated with breast cancer with an odds ratio (OR) and 95% confidence interval (95% CI) of 0.76 (0.70-0.84). In a replication in women of Latin American origin, we also observed a consistent effect (OR 0.88; 95% CI 0.78-0.99; p = 0.037). We also performed a meta-analysis of these SNPs in East Asians, African ancestry and European ancestry populations and also observed a consistent effect (rs3778609, OR 0.95; 95% CI 0.91-0.97; p = 0.0017)., Conclusion: Our study adds to evidence about the importance of the 6q25 locus for breast cancer susceptibility. Our finding also highlights the utility of performing additional searches for genetic variants for breast cancer in non-European populations.- Published
- 2019
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22. The Interaction between Genetic Ancestry and Breast Cancer Risk Factors among Hispanic Women: The Breast Cancer Health Disparities Study.
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Hines LM, Sedjo RL, Byers T, John EM, Fejerman L, Stern MC, Baumgartner KB, Giuliano AR, Torres-Mejia G, Wolff RK, Harrall KK, and Slattery ML
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- Adult, Aged, Case-Control Studies, Female, Genotype, Hispanic or Latino, Humans, Mexico, Middle Aged, Odds Ratio, Risk Factors, United States, Breast Neoplasms ethnology, Breast Neoplasms genetics, Genetic Predisposition to Disease ethnology
- Abstract
Background: Hispanic women have lower breast cancer incidence rates than non-Hispanic white (NHW) women. To what extent genetic versus nongenetic factors account for this difference is unknown. Methods: Using logistic regression, we evaluated the interactive influences of established risk factors and ethnicity (self-identified and identified by ancestral informative markers) on breast cancer risk among 2,326 Hispanic and 1,854 NHW postmenopausal women from the United States and Mexico in the Breast Cancer Health Disparities Study. Results: The inverse association between the percentage of Native American (NA) ancestry and breast cancer risk was only slightly attenuated after adjusting for known risk factors [lowest versus highest quartile: odds ratio (OR) =1.39, 95% confidence interval (CI) = 1.00-1.92 among U.S. Hispanics; OR = 1.92 (95% CI, 1.29-2.86) among Mexican women]. The prevalence of several risk factors, as well as the associations with certain factors and breast cancer risk, differed according to genetic admixture. For example, higher body mass index (BMI) was associated with reduced risk among women with lower NA ancestry only [BMI <25 versus >30: OR = 0.65 (95% CI, 0.44-0.98) among U.S. Hispanics; OR = 0.53 (95% CI, 0.29-0.97) among Mexicans]. The average number of risk factors among cases was inversely related to the percentage of NA ancestry. Conclusions: The lower NA ancestry groups were more likely to have the established risk factors, with the exception of BMI. Although the majority of factors were associated with risk in the expected directions among all women, BMI had an inverse association among Hispanics with lower NA ancestry. Impact: These data suggest that the established risk factors are less relevant for breast cancer development among women with more NA ancestry. Cancer Epidemiol Biomarkers Prev; 26(5); 692-701. ©2016 AACR ., (©2016 American Association for Cancer Research.)
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- 2017
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23. Serum 25-Hydroxyvitamin D3 and Mammography Density among Mexican Women.
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Amadou A, Biessy C, Rinaldi S, Fedirko V, Assi N, Lajous M, Ortiz-Panozo E, Yunes E, Lopez-Ridaura R, Torres-Mejia G, and Romieu I
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- Adult, Aged, Body Mass Index, Cross-Sectional Studies, Exercise, Female, Humans, Longitudinal Studies, Male, Mammography, Mexico epidemiology, Middle Aged, Regression Analysis, Risk Factors, Vitamin D Deficiency blood, Breast Density, Calcifediol blood, Homocysteine blood
- Abstract
Low circulating levels of vitamin D and high mammographic density (MD) have been associated with higher risk of breast cancer. Although some evidence suggested an inverse association between circulating vitamin D and MD, no studies have investigated this association among Mexican women. We examined whether serum 25-hydroxyvitamin D3 [25(OH)D3] levels were associated with MD in a cross-sectional study nested within the large Mexican Teacher's Cohort. This study included 491 premenopausal women with a mean age of 42.9 years. Serum 25(OH)D3 levels were measured by liquid chromatography/tandem mass spectrometry. Linear regression and non-linear adjusted models were used to estimate the association of MD with serum 25(OH)D3. Median serum 25(OH)D3 level was 27.3 (23.3-32.8) (ng/ml). Forty one (8%) women had 25(OH)D3 levels in the deficient range (< 20 ng/ml). Body mass index (BMI) and total physical activity were significantly correlated with 25(OH)D3 (r = -0.109, P = 0.019 and r = 0.095, P = 0.003, respectively). In the multivariable linear regression, no significant association was observed between 25(OH)D3 levels and MD overall. However, in stratified analyses, higher serum 25(OH)D3 levels (≥27.3 ng/ml) were significantly inversely associated with percent MD among women with BMI below the median (β = -0.52, P = 0.047). Although no significant association was observed between serum 25(OH)D3 and percent MD in the overall population, specific subgroups of women may benefit from higher serum 25(OH)D3 levels., Competing Interests: The authors have declared that no competing interests exist.
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- 2016
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24. Adherence to the World Cancer Research Fund/American Institute for Cancer Research cancer prevention recommendations and breast cancer risk in the Cancer de Màma (CAMA) study.
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Fanidi A, Ferrari P, Biessy C, Ortega C, Angeles-Llerenas A, Torres-Mejia G, and Romieu I
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- Adult, Aged, Body Mass Index, Breast Neoplasms epidemiology, Breast Neoplasms ethnology, Breast Neoplasms etiology, Case-Control Studies, Combined Modality Therapy, Diet, Reducing ethnology, Female, Humans, Incidence, Mexico epidemiology, Middle Aged, Overweight ethnology, Overweight physiopathology, Overweight prevention & control, Overweight therapy, Risk Factors, Sedentary Behavior ethnology, Breast Neoplasms prevention & control, Diet adverse effects, Diet ethnology, Feeding Behavior ethnology, Motor Activity, Nutrition Policy, Patient Compliance ethnology
- Abstract
Objective: We investigated the association between adherence to the recommendations of the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) and breast cancer (BC) risk in the Cancer de Màma (CAMA) study in a Mexican population., Design: Population-based case-control study., Subjects: Incident BC cases (n 1000) and controls (n 1074) matched on age, region and health-care system were recruited., Setting: In-person interviews were conducted to assess BC risk factors and habitual diet was assessed with an FFQ. Conformity to the WCRF/AICR recommendations was evaluated through a score incorporating seven WCRF/AICR components (body fatness, physical activity, foods and drinks that promote weight gain, plant foods, animal foods, alcoholic drinks and breast-feeding), with high scores indicating adherence to the WCRF/AICR recommendations., Results: No statistically significant associations between WCRF/AICR score and risk of BC were observed. After excluding BMI from the WCRF/AICR score, the top quartile was associated with a decreased BC risk overall, with ORQ4-Q1=0.68 (95% CI 0.49, 0.92, P trend=0.03), and among postmenopausal women, with ORQ4-Q1=0.60 (95% CI 0.39, 0.94, P trend=0.03). Inverse associations were observed between BMI and risk of BC overall and among premenopausal women, with OR=0.57 (95% CI 0.42, 0.76, P trend <0.01) and 0.48 (95% CI 0.31, 0.73, P trend<0.01), respectively. Physical activity level was inversely associated with BC risk., Conclusions: The WCRF/AICR index was not related with BC risk in the CAMA study. A combination of six components excluding BMI showed strong protective associations, particularly in postmenopausal women. Further prospective studies are required to clarify the role of adherence to WCRF/AICR recommendations, particularly with respect to BMI, in the Mexican population.
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- 2015
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25. Energy homeostasis genes and breast cancer risk: The influence of ancestry, body size, and menopausal status, the breast cancer health disparities study.
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Slattery ML, Lundgreen A, Hines L, Wolff RK, Torres-Mejia G, Baumgartner KN, and John EM
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- Adult, Aged, Body Size physiology, Case-Control Studies, Female, Hispanic or Latino genetics, Homeostasis genetics, Humans, Indians, North American genetics, Menopause physiology, Middle Aged, Polymorphism, Single Nucleotide, Risk, White People genetics, Breast Neoplasms genetics, Energy Metabolism genetics, Genetic Predisposition to Disease genetics
- Abstract
Background: Obesity and breast cancer risk is multifaceted and genes associated with energy homeostasis may modify this relationship., Methods: We evaluated 10 genes that have been associated with obesity and energy homeostasis to determine their association with breast cancer risk in Hispanic/Native American (2111 cases, 2597 controls) and non-Hispanic white (1481 cases, 1585 controls) women., Results: Cholecystokinin (CCK) rs747455 and proopiomelanocortin (POMC) rs6713532 and rs7565877 (for low Indigenous American (IA) ancestry); CCK rs8192472 and neuropeptide Y (NYP) rs16141 and rs14129 (intermediate IA ancestry); and leptin receptor (LEPR) rs11585329 (high IA ancestry) were strongly associated with multiple indicators of body size. There were no significant associations with breast cancer risk between genes and SNPs overall. However, LEPR was significantly associated with breast cancer risk among women with low IA ancestry (PARTP=0.024); POMC was significantly associated with breast cancer risk among women with intermediate (PARTP=0.015) and high (PARTP=0.012) IA ancestry. The overall pathway was statistically significant for pre-menopausal women with low IA ancestry (PARTP=0.05), as was cocaine and amphetamine regulated transcript protein (CARTPT) (PARTP=0.014) and ghrelin (GHRL) (PARTP=0.007). POMC was significantly associated with breast cancer risk among post-menopausal women with higher IA ancestry (PARTP=0.005). Three SNPs in LEPR (rs6704167, rs17412175, and rs7626141), and adiponectin (ADIPOQ); rs822391) showed significant 4-way interactions (GxExMenopausexAncestry) for multiple indicators of body size among pre-menopausal women., Conclusions: Energy homeostasis genes were associated with breast cancer risk; menopausal status, body size, and genetic ancestry influenced this relationship., (Copyright © 2015 Elsevier Ltd. All rights reserved.)
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- 2015
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26. Dietary Carbohydrate, Glycemic Index, Glycemic Load, and Breast Cancer Risk Among Mexican Women.
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Amadou A, Degoul J, Hainaut P, Chajes V, Biessy C, Torres Mejia G, Huybrechts I, Moreno Macia H, Ortega C, Angeles-Llerenas A, and Romieu I
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- Adult, Aged, Case-Control Studies, Female, Humans, Logistic Models, Mexico epidemiology, Middle Aged, Odds Ratio, Overweight epidemiology, Breast Neoplasms epidemiology, Diet statistics & numerical data, Dietary Carbohydrates, Glycemic Index, Glycemic Load, Motor Activity, Obesity epidemiology
- Abstract
Background: Very few studies have focused on the relationship among dietary carbohydrates, glycemic index (GI), glycemic load (GL), and breast cancer risk in Latin American women. Our objective was to assess the associations among dietary carbohydrate, GI, GL, and risk of breast cancer, and to further investigate these associations by levels of overweight/obesity and physical activity., Methods: We used data from a Mexican population-based case-control study. We recruited a 1,000 women with incident breast cancer and 1,074 matched control women ages 35 to 69 years between 2004 and 2007. We used conditional logistic regression models and energy-adjusted carbohydrates, GI, and GL using the residual method., Results: Total carbohydrate intake was associated with an increased risk of breast cancer among premenopausal women. The odds ratio in the highest versus the lowest quartile was 1.3 (95% confidence interval = 1.0, 1.7; P trend = 0.03). In stratified analyses by body mass index (BMI), the positive association between carbohydrate and risk of premenopausal breast cancer was only observed among overweight women. The odds ratio comparing the top with the bottom quartile was 1.9 (95% confidence interval = 1.2, 3.0; P trend = 0.01) among women with BMI ≥ 25 kg/m. No association was observed among women with BMI < 25 kg/m., Conclusions: Our findings suggest that high carbohydrate diets are associated with an increased risk of breast cancer among premenopausal Mexican women.
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- 2015
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27. Endogenous hormones, inflammation, and body size in premenopausal Mexican women: results from the Mexican Teachers' Cohort (MTC, ESMaestras).
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Rinaldi S, Biessy C, de la Luz Hernandez M, Lajous M, Ortiz-Panozo E, Yunes E, Lopez-Ridaura R, Torres-Mejia G, and Romieu I
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- Adiposity, Adult, Biomarkers, Body Mass Index, Body Weight, C-Peptide blood, C-Reactive Protein biosynthesis, Cohort Studies, Cross-Sectional Studies, Female, Humans, Immunoassay, Leptin blood, Mexico, Middle Aged, Multivariate Analysis, Obesity blood, Overweight blood, Premenopause, Waist Circumference, Waist-Hip Ratio, Body Size, Inflammation blood, Insulin-Like Growth Factor Binding Protein 3 blood, Insulin-Like Growth Factor I biosynthesis
- Abstract
Purpose: Obesity is a major risk factor for several cancers, including female cancers. Endogenous hormones and inflammatory factors may mediate the association between anthropometric measures and cancer risk, although these associations have been studied mainly in Caucasians. The aim of the current study was to explore the association of circulating hormones, adipokines, and inflammatory factors with obesity and overweight in premenopausal Mexican women., Methods: We conducted a cross-sectional analysis of 504 premenopausal women from the large Mexican Teachers' Cohort (MTC, ESMaestras) study to determine the association of insulin-like growth factor I (IGF-I), its major circulating binding protein (IGFBP-3), leptin, adiponectin, C-peptide, and C-reactive protein with comprehensive measures of body size. Biomarkers were measured by immunoassays. Multivariate regression analyses were performed to compare geometric mean biomarker concentrations with measured markers of body size and adiposity., Results: Mean IGF-I and IGFBP-3 concentrations significantly increased with increasing height and leg length. Concentrations of IGF-I, adiponectin, and the IGF-I/IGFBP-3 ratio strongly decreased with increasing BMI, weight, waist and hip circumferences, waist-to-hip ratio (WHpR), and waist-to-height ratio (WHtR), while CRP, leptin, C-peptide concentrations, and the leptin/adiponectin ratio strongly increased. Adiponectin and the leptin/adiponectin ratio remained significantly related to measures of central adiposity (waist circumference, WHpR, and WHtR) after adjustment by body mass index., Conclusions: The results of our study suggest a strong relation between biomarkers and body size in this study population and suggest that different fat depots may have different metabolic properties.
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- 2015
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28. MAPK genes interact with diet and lifestyle factors to alter risk of breast cancer: the Breast Cancer Health Disparities Study.
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Slattery ML, Lundgreen A, John EM, Torres-Mejia G, Hines L, Giuliano AR, Baumgartner KB, Stern MC, and Wolff RK
- Subjects
- Adult, Aged, Body Mass Index, Breast Neoplasms ethnology, Breast Neoplasms metabolism, Case-Control Studies, Dietary Fats metabolism, Dietary Fiber metabolism, Dual-Specificity Phosphatases genetics, Energy Intake genetics, Female, Folic Acid metabolism, Health Status Disparities, Humans, MAP Kinase Kinase Kinase 2, MAP Kinase Kinase Kinases genetics, Menopause genetics, Mexico epidemiology, Middle Aged, Mitogen-Activated Protein Kinase 1 genetics, Mitogen-Activated Protein Kinase 14 genetics, Mitogen-Activated Protein Kinase 8 genetics, Mitogen-Activated Protein Kinase Phosphatases genetics, Polymorphism, Single Nucleotide genetics, Population Groups genetics, Receptors, Estrogen blood, Receptors, Progesterone blood, Registries, Risk Factors, San Francisco, Southwestern United States, Breast Neoplasms genetics, Diet statistics & numerical data, Life Style, Mitogen-Activated Protein Kinases genetics
- Abstract
Mitogen-activated protein kinases (MAPK) are integration points for multiple biochemical signals. We evaluated 13 MAPK genes with breast cancer risk and determined if diet and lifestyle factors mediated risk. Data from 3 population-based case-control studies conducted in Southwestern United States, California, and Mexico included 4183 controls and 3592 cases. Percent Indigenous American (IA) ancestry was determined from 104 ancestry informative markers. The adaptive rank truncated product (ARTP) was used to determine the significance of each gene and the pathway with breast cancer risk, by menopausal status, genetic ancestry level, and estrogen receptor (ER)/progesterone receptor (PR) strata. MAP3K9 was associated with breast cancer overall (P(ARTP) = 0.02) with strongest association among women with the highest IA ancestry (P(ARTP) = 0.04). Several SNPs in MAP3K9 were associated with ER+/PR+ tumors and interacted with dietary oxidative balance score (DOBS), dietary folate, body mass index (BMI), alcohol consumption, cigarette smoking, and a history of diabetes. DUSP4 and MAPK8 interacted with calories to alter breast cancer risk; MAPK1 interacted with DOBS, dietary fiber, folate, and BMI; MAP3K2 interacted with dietary fat; and MAPK14 interacted with dietary folate and BMI. The patterns of association across diet and lifestyle factors with similar biological properties for the same SNPs within genes provide support for associations.
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- 2015
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29. Diet and lifestyle factors modify immune/inflammation response genes to alter breast cancer risk and prognosis: the Breast Cancer Health Disparities Study.
- Author
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Slattery ML, Lundgreen A, Torres-Mejia G, Wolff RK, Hines L, Baumgartner K, and John EM
- Subjects
- Adult, Aged, Breast Neoplasms ethnology, Case-Control Studies, Disease Susceptibility, Ethnicity genetics, Female, Gene-Environment Interaction, Health Status Disparities, Humans, Middle Aged, Risk Factors, Stress, Physiological genetics, Stress, Physiological immunology, Breast Neoplasms genetics, Diet ethnology, Diet statistics & numerical data, Immunity genetics, Inflammation genetics, Life Style ethnology
- Abstract
Tumor necrosis factor-α (TNF) and toll-like receptors (TLR) are important mediators of inflammation. We examined 10 of these genes with respect to breast cancer risk and mortality in a genetically admixed population of Hispanic/Native American (NA) (2111 cases, 2597 controls) and non-Hispanic white (NHW) (1481 cases, 1585 controls) women. Additionally, we explored if diet and lifestyle factors modified associations with these genes. Overall, these genes (collectively) were associated with breast cancer risk among women with >70% NA ancestry (P(ARTP) = 0.0008), with TLR1 rs7696175 being the primary risk contributor (OR 1.77, 95% CI 1.25, 2.51). Overall, TLR1 rs7696175 (HR 1.40, 95% CI 1.03, 1.91; P(adj) = 0.032), TLR4 rs5030728 (HR 1.96, 95% CI 1.30, 2.95; P(adj) = 0.014), and TNFRSF1A rs4149578 (HR 2.71, 95% CI 1.28, 5.76; P(adj) = 0.029) were associated with increased breast cancer mortality. We observed several statistically significant interactions after adjustment for multiple comparisons, including interactions between our dietary oxidative balance score and CD40LG and TNFSF1A; between cigarette smoking and TLR1, TLR4, and TNF; between body mass index (BMI) among pre-menopausal women and TRAF2; and between regular use of aspirin/non-steroidal anti-inflammatory drugs and TLR3 and TRA2. In conclusion, our findings support a contributing role of certain TNF-α and TLR genes in both breast cancer risk and survival, particularly among women with higher NA ancestry. Diet and lifestyle factors appear to be important mediators of the breast cancer risk associated with these genes.
- Published
- 2014
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30. Genome-wide association study of breast cancer in Latinas identifies novel protective variants on 6q25.
- Author
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Fejerman L, Ahmadiyeh N, Hu D, Huntsman S, Beckman KB, Caswell JL, Tsung K, John EM, Torres-Mejia G, Carvajal-Carmona L, Echeverry MM, Tuazon AM, Ramirez C, Gignoux CR, Eng C, Gonzalez-Burchard E, Henderson B, Le Marchand L, Kooperberg C, Hou L, Agalliu I, Kraft P, Lindström S, Perez-Stable EJ, Haiman CA, and Ziv E
- Subjects
- Adolescent, Adult, Aged, Alleles, Biomarkers, Tumor metabolism, Breast Neoplasms metabolism, Case-Control Studies, Cell Line, Tumor, Chromosome Mapping, Female, Genetic Variation, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Mammography, Mexico, Middle Aged, Neoplasm Invasiveness, Odds Ratio, Polymorphism, Single Nucleotide, Prospective Studies, Receptors, Estrogen metabolism, Risk Factors, Young Adult, Breast Neoplasms ethnology, Breast Neoplasms genetics, Gene Expression Regulation, Neoplastic
- Abstract
The genetic contributions to breast cancer development among Latinas are not well understood. Here we carry out a genome-wide association study of breast cancer in Latinas and identify a genome-wide significant risk variant, located 5' of the Estrogen Receptor 1 gene (ESR1; 6q25 region). The minor allele for this variant is strongly protective (rs140068132: odds ratio (OR) 0.60, 95% confidence interval (CI) 0.53-0.67, P=9 × 10(-18)), originates from Indigenous Americans and is uncorrelated with previously reported risk variants at 6q25. The association is stronger for oestrogen receptor-negative disease (OR 0.34, 95% CI 0.21-0.54) than oestrogen receptor-positive disease (OR 0.63, 95% CI 0.49-0.80; P heterogeneity=0.01) and is also associated with mammographic breast density, a strong risk factor for breast cancer (P=0.001). rs140068132 is located within several transcription factor-binding sites and electrophoretic mobility shift assays with MCF-7 nuclear protein demonstrate differential binding of the G/A alleles at this locus. These results highlight the importance of conducting research in diverse populations.
- Published
- 2014
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31. Genetic variation in the JAK/STAT/SOCS signaling pathway influences breast cancer-specific mortality through interaction with cigarette smoking and use of aspirin/NSAIDs: the Breast Cancer Health Disparities Study.
- Author
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Slattery ML, Lundgreen A, Hines LM, Torres-Mejia G, Wolff RK, Stern MC, and John EM
- Subjects
- Adult, Aged, Breast drug effects, Breast metabolism, Breast Neoplasms drug therapy, Breast Neoplasms genetics, Case-Control Studies, Drug Interactions, Female, Follow-Up Studies, Genetic Predisposition to Disease, Hispanic or Latino, Humans, Janus Kinase 1 genetics, Janus Kinase 2 genetics, Middle Aged, Neoplasm Staging, Prognosis, Risk Factors, STAT1 Transcription Factor genetics, Signal Transduction, Suppressor of Cytokine Signaling 1 Protein, Suppressor of Cytokine Signaling Proteins genetics, Survival Rate, White People, Anti-Inflammatory Agents, Non-Steroidal adverse effects, Aspirin adverse effects, Biomarkers, Tumor genetics, Breast Neoplasms mortality, Healthcare Disparities, Polymorphism, Single Nucleotide genetics, Smoking adverse effects
- Abstract
The Janus kinase (JAK)/signal transducer and activator of transcription (STAT) signaling pathway is involved in immune function and cell growth; genetic variation in this pathway could influence breast cancer risk. We examined 12 genes in the JAK/STAT/SOCS signaling pathway with breast cancer risk and mortality in an admixed population of Hispanic (2,111 cases, 2,597 controls) and non-Hispanic white (1,481 cases, 1,585 controls) women. Associations were assessed by Indigenous American (IA) ancestry. After adjustment for multiple comparisons, JAK1 (three of ten SNPs) and JAK2 (4 of 11 SNPs) interacted with body mass index (BMI) among pre-menopausal women, while STAT3 (four of five SNPs) interacted significantly with BMI among post-menopausal women to alter breast cancer risk. STAT6 rs3024979 and TYK2 rs280519 altered breast cancer-specific mortality among all women. Associations with breast cancer-specific mortality differed by IA ancestry; SOCS1 rs193779, STAT3 rs1026916, and STAT4 rs11685878 associations were limited to women with low IA ancestry, and associations with JAK1 rs2780890, rs2254002, and rs310245 and STAT1 rs11887698 were observed among women with high IA ancestry. JAK2 (5 of 11 SNPs), SOCS2 (one of three SNPs), and STAT4 (2 of 20 SNPs) interacted with cigarette smoking status to alter breast cancer-specific mortality. SOCS2 (one of three SNPs) and all STAT3, STAT5A, and STAT5B SNPs significantly interacted with use of aspirin/NSAIDs to alter breast cancer-specific mortality. Genetic variation in the JAK/STAT/SOCS pathway was associated with breast cancer-specific mortality. The proportion of SNPs within a gene that significantly interacted with lifestyle factors lends support for the observed associations.
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- 2014
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32. Anthropometry, silhouette trajectory, and risk of breast cancer in Mexican women.
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Amadou A, Torres Mejia G, Fagherazzi G, Ortega C, Angeles-Llerenas A, Chajes V, Biessy C, Sighoko D, Hainaut P, and Romieu I
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- Adult, Aged, Anthropometry, Body Height, Breast Neoplasms epidemiology, Case-Control Studies, Female, Hip anatomy & histology, Humans, Menopause, Mexico epidemiology, Middle Aged, Obesity complications, Risk Factors, Waist Circumference, Breast Neoplasms etiology
- Abstract
Background: Obesity has been associated with breast cancer risk in the Caucasian population but the association remains unclear in the Hispanics. Previous studies conducted among Hispanics in the U.S. have shown inconsistent results., Purpose: The association between anthropometry, body shape evolution across lifetime, and the risk of breast cancer was assessed using a multi-center population-based case-control study conducted in Mexico., Methods: One thousand incident cases and 1074 matched control women aged 35-69 years were recruited between 2004 and 2007, and analyzed in 2011-2012. Conditional logistic regression models were used., Results: Height was related to an increased risk of breast cancer in both premenopausal (p trend=0.03) and postmenopausal women (p trend=0.002). In premenopausal women, increase in BMI; waist circumference (WC); hip circumference (HC); and waist-hip ratio (WHR) were inversely associated with breast cancer risk (p trends<0.001 for BMI and WC, 0.003 for HC, and 0.016 for WHR). In postmenopausal women, decreased risks were observed for increased WC (p trend=0.004) and HC (p trend=0.009) among women with time since menopause <10 years. Further analysis of body shape evolution throughout life showed strong and significant increase in risk of breast cancer among women with increasing silhouettes size over time compared to women with no or limited increase., Conclusions: These findings suggest that anthropometric factors may have different associations with breast cancer risk in Hispanic women than in Caucasian women. This study also shows the importance of considering the evolution of body shape throughout life., (Copyright © 2014. Published by Elsevier Inc.)
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- 2014
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33. Angiogenesis genes, dietary oxidative balance and breast cancer risk and progression: the Breast Cancer Health Disparities Study.
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Slattery ML, John EM, Torres-Mejia G, Lundgreen A, Lewinger JP, Stern MC, Hines L, Baumgartner KB, Giuliano AR, and Wolff RK
- Subjects
- Adult, Aged, Breast Neoplasms blood supply, Breast Neoplasms genetics, Case-Control Studies, Disease Progression, Female, Humans, Hypoxia-Inducible Factor 1, alpha Subunit genetics, Middle Aged, Nitric Oxide Synthase Type II genetics, Peroxidase genetics, Polymorphism, Single Nucleotide, Transcription Factors genetics, Vascular Endothelial Growth Factor A genetics, Vascular Endothelial Growth Factor Receptor-1 genetics, Vascular Endothelial Growth Factor Receptor-2 genetics, Breast Neoplasms epidemiology, Diet, Neovascularization, Pathologic genetics, Oxidative Stress
- Abstract
Angiogenesis is essential for tumor development and progression. Genetic variation in angiogenesis-related genes may influence breast carcinogenesis. We evaluated dietary factors associated with oxidative balance, DDIT4 (one SNP), FLT1 (35 SNPs), HIF1A (four SNPs), KDR (19 SNPs), MPO (one SNP), NOS2A (15 SNPs), TEK (40 SNPs) and VEGFA (eight SNPs) and breast cancer risk among Hispanic (2,111 cases and 2,597 controls) and non-Hispanic white (1,481 cases and 1,586 controls) women in the Breast Cancer Health Disparities Study. Adaptive rank truncated product (ARTP) analysis was used to determine gene and pathway significance with breast cancer. TEK was associated with breast cancer overall (pARTP = 0.03) and with breast cancer survival (pARTP = 0.01). KDR was of borderline significance overall (pARTP = 0.07), although significantly associated with breast cancer in both low and intermediate Native American (NA) ancestry groups (pARTP = 0.02) and estrogen receptor (ER)+/progesterone receptor (PR)- tumor phenotype (pARTP = 0.008). Both VEGFA and NOS2A were associated with ER-/PR- tumor phenotype (pARTP = 0.01 and pARTP = 0.04, respectively). FLT1 was associated with breast cancer survival among those with low NA ancestry (pARTP = 0.009). With respect to diet, having a higher dietary oxidative balance score (DOBS) was significantly associated with lower breast cancer risk [odds ratio (OR) 0.74, 95% confidence interval (CI) 0.64-0.84], with the strongest associations observed for women with the highest NA ancestry (OR 0.44, 95% CI 0.30-0.65). We observed few interactions between DOBS and angiogenesis-related genes. Our data suggest that dietary factors and genetic variation in angiogenesis-related genes contribute to breast cancer carcinogenesis., (© 2013 UICC.)
- Published
- 2014
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34. SEPP1 influences breast cancer risk among women with greater native american ancestry: the breast cancer health disparities study.
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Pellatt AJ, Wolff RK, John EM, Torres-Mejia G, Hines LM, Baumgartner KB, Giuliano AR, Lundgreen A, and Slattery ML
- Subjects
- Female, Humans, Polymorphism, Single Nucleotide, Risk Factors, United States epidemiology, Breast Neoplasms epidemiology, Genetic Predisposition to Disease, Indians, North American, Selenoprotein P genetics, Social Justice
- Abstract
Selenoproteins are a class of proteins containing a selenocysteine residue, many of which have been shown to have redox functions, acting as antioxidants to decrease oxidative stress. Selenoproteins have previously been associated with risk of various cancers and redox-related diseases. In this study we evaluated possible associations between breast cancer risk and survival and single nucleotide polymorphisms (SNPs) in the selenoprotein genes GPX1, GPX2, GPX3, GPX4, SELS, SEP15, SEPN1, SEPP1, SEPW1, TXNRD1, and TXNRD2 among Hispanic/Native American (2111 cases, 2597 controls) and non-Hispanic white (NHW) (1481 cases, 1586 controls) women in the Breast Cancer Health Disparities Study. Adaptive Rank Truncated Product (ARTP) analysis was used to determine both gene and pathway significance with these genes. The overall selenoprotein pathway PARTP was not significantly associated with breast cancer risk (PARTP = 0.69), and only one gene, GPX3, was of borderline significance for the overall population (PARTP =0.09) and marginally significant among women with 0-28% Native American (NA) ancestry (PARTP=0.06). The SEPP1 gene was statistically significantly associated with breast cancer risk among women with higher NA ancestry (PARTP=0.002) and contributed to a significant pathway among those women (PARTP=0.04). GPX1, GPX3, and SELS were associated with Estrogen Receptor-/Progesterone Receptor+ status (PARTP = 0.002, 0.05, and 0.01, respectively). Four SNPs (GPX3 rs2070593, rsGPX4 rs2074451, SELS rs9874, and TXNRD1 rs17202060) significantly interacted with dietary oxidative balance score after adjustment for multiple comparisons to alter breast cancer risk. GPX4 was significantly associated with breast cancer survival among those with the highest NA ancestry (PARTP = 0.05) only. Our data suggest that SEPP1 alters breast cancer risk among women with higher levels of NA ancestry.
- Published
- 2013
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35. Associations between genetic variants in the TGF-β signaling pathway and breast cancer risk among Hispanic and non-Hispanic white women.
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Boone SD, Baumgartner KB, Baumgartner RN, Connor AE, Pinkston CM, John EM, Hines LM, Stern MC, Giuliano AR, Torres-Mejia G, Brock GN, Groves FD, Kerber RA, Wolff RK, and Slattery ML
- Subjects
- Adult, Aged, Aged, 80 and over, Alleles, Case-Control Studies, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genotype, Humans, Menopause, Middle Aged, Polymorphism, Single Nucleotide, Receptors, Estrogen genetics, Receptors, Estrogen metabolism, Receptors, Progesterone genetics, Receptors, Progesterone metabolism, Risk, Signal Transduction, Southwestern United States epidemiology, Southwestern United States ethnology, Transforming Growth Factor beta metabolism, Young Adult, Breast Neoplasms epidemiology, Breast Neoplasms genetics, Genetic Variation, Hispanic or Latino genetics, Transforming Growth Factor beta genetics, White People genetics
- Abstract
The TGF-β signaling pathway has a significant role in breast cancer initiation and promotion by regulating various cellular processes. We evaluated whether genetic variation in eight genes (TGF-β1, TGF-β2, TGF-βR1, TGF-βR2, TGF-βR3, RUNX1, RUNX2, and RUNX3) is associated with breast cancer risk in women from the Breast Cancer Health Disparities Study. A total of 3,524 cases (1,431 non-Hispanic whites (NHW); 2,093 Hispanics/Native Americans(NA)) and 4,209 population-based controls (1,599 NHWs; 2,610 Hispanics/NAs) were included in analyses. Genotypes for 47 single nucleotide polymorphisms (SNPs) were determined. Additionally, 104 ancestral informative markers estimated proportion of NA ancestry. Associations with breast cancer risk overall, by menopausal status, NA ancestry, and estrogen receptor (ER)/progesterone receptor tumor phenotype were evaluated. After adjustment for multiple comparisons, two SNPs were significantly associated with breast cancer risk: RUNX3 (rs906296 ORCG/GG = 1.15 95 % CI 1.04-1.26) and TGF-β1 (rs4803455 ORCA/AA = 0.89 95 % CI 0.81-0.98). RUNX3 (rs906296) and TGF-βR2 (rs3773644) were associated with risk in pre-menopausal women (p adj = 0.002 and 0.02, respectively) and in those with intermediate to high NA ancestry (p adj = 0.04 and 0.01, respectively). Self-reported race was strongly correlated with NA ancestry (r = 0.86). There was a significant interaction between NA ancestry and RUNX1 (rs7279383, p adj = 0.04). Four RUNX SNPs were associated with increased risk of ER- tumors. Results provide evidence that genetic variation in TGF-β and RUNX genes are associated with breast cancer risk. This is the first report of significant associations between genetic variants in TGF-β and RUNX genes and breast cancer risk among women of NA ancestry.
- Published
- 2013
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36. Associations with growth factor genes (FGF1, FGF2, PDGFB, FGFR2, NRG2, EGF, ERBB2) with breast cancer risk and survival: the Breast Cancer Health Disparities Study.
- Author
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Slattery ML, John EM, Stern MC, Herrick J, Lundgreen A, Giuliano AR, Hines L, Baumgartner KB, Torres-Mejia G, and Wolff RK
- Subjects
- Adult, Aged, Case-Control Studies, Epidermal Growth Factor genetics, Female, Fibroblast Growth Factor 1 genetics, Fibroblast Growth Factor 2 genetics, Genes, erbB-2, Genes, sis, Hispanic or Latino genetics, Humans, Indians, North American genetics, Middle Aged, Nerve Growth Factors genetics, Polymorphism, Single Nucleotide, Receptor, Fibroblast Growth Factor, Type 2 genetics, White People genetics, Breast Neoplasms genetics, Breast Neoplasms mortality, Intercellular Signaling Peptides and Proteins genetics
- Abstract
Growth factors (GF) stimulate cell proliferation through binding to cell membrane receptors and are thought to be involved in cancer risk and survival. We examined how genetic variation in epidermal growth factor (EGF), neuregulin 2 (NRG2), ERBB2 (HER2/neu), fibroblast growth factors 1 and 2 (FGF1 and FGF2) and its receptor 2 (FGFR2), and platelet-derived growth factor B (PDGFB) independently and collectively influence breast cancer risk and survival. We analyzed data from the Breast Cancer Health Disparities Study which includes Hispanic (2,111 cases, 2,597 controls) and non-Hispanic white (1,481 cases, 1,586 controls) women. Adaptive rank-truncated product (ARTP) analysis was conducted to determine gene significance. Odds ratios (OR) and 95 % confidence intervals were obtained from conditional logistic regression models to estimate breast cancer risk and Cox proportional hazard models were used to estimate hazard ratios (HR) of dying from breast cancer. We assessed Native American (NA) ancestry using 104 ancestry informative markers. We observed few significant associations with breast cancer risk overall or by menopausal status other than for FGFR2 rs2981582. This SNP was significantly associated with ER+/PR+ (OR 1.66, 95 % CI 1.37-2.00) and ER+/PR- (OR 1.54, 95 % CI 1.03-2.31) tumors. Multiple SNPs in FGF1, FGF2, and NRG2 significantly interacted with multiple SNPs in EGFR, ERBB2, FGFR2, and PDGFB, suggesting that breast cancer risk is dependent on the collective effects of genetic variants in other GFs. Both FGF1 and ERBB2 significantly influenced overall survival, especially among women with low levels of NA ancestry (P ARTP = 0.007 and 0.003, respectively). Our findings suggest that genetic variants in growth factors signaling appear to influence breast cancer risk through their combined effects. Genetic variation in ERBB2 and FGF1 appear to be associated with survival after diagnosis with breast cancer.
- Published
- 2013
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37. Genetic ancestry modifies the association between genetic risk variants and breast cancer risk among Hispanic and non-Hispanic white women.
- Author
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Fejerman L, Stern MC, Ziv E, John EM, Torres-Mejia G, Hines LM, Wolff R, Wang W, Baumgartner KB, Giuliano AR, and Slattery ML
- Subjects
- Breast Neoplasms ethnology, Case-Control Studies, Female, Genetic Predisposition to Disease epidemiology, Genome-Wide Association Study methods, Genotype, Heterozygote, Homozygote, Humans, Incidence, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Reelin Protein, Risk, United States epidemiology, Breast Neoplasms epidemiology, Breast Neoplasms genetics, Hispanic or Latino genetics, White People genetics
- Abstract
Hispanic women in the USA have lower breast cancer incidence than non-Hispanic white (NHW) women. Genetic factors may contribute to this difference. Breast cancer genome-wide association studies (GWAS) conducted in women of European or Asian descent have identified multiple risk variants. We tested the association between 10 previously reported single nucleotide polymorphisms (SNPs) and risk of breast cancer in a sample of 4697 Hispanic and 3077 NHW women recruited as part of three population-based case-control studies of breast cancer. We used stratified logistic regression analyses to compare the associations with different genetic variants in NHWs and Hispanics classified by their proportion of Indigenous American (IA) ancestry. Five of 10 SNPs were statistically significantly associated with breast cancer risk. Three of the five significant variants (rs17157903-RELN, rs7696175-TLR1 and rs13387042-2q35) were associated with risk among Hispanics but not in NHWs. The odds ratio (OR) for the heterozygous at 2q35 was 0.75 [95% confidence interval (CI) = 0.50-1.15] for low IA ancestry and 1.38 (95% CI = 1.04-1.82) for high IA ancestry (P interaction 0.02). The ORs for association at RELN were 0.87 (95% CI = 0.59-1.29) and 1.69 (95% CI = 1.04-2.73), respectively (P interaction 0.03). At the TLR1 locus, the ORs for women homozygous for the rare allele were 0.74 (95% CI = 0.42-1.31) and 1.73 (95% CI = 1.19-2.52) (P interaction 0.03). Our results suggest that the proportion of IA ancestry modifies the magnitude and direction of the association of 3 of the 10 previously reported variants. Genetic ancestry should be considered when assessing risk in women of mixed descent and in studies designed to discover causal mutations.
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- 2013
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38. Telomere length, telomere-related genes, and breast cancer risk: the breast cancer health disparities study.
- Author
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Pellatt AJ, Wolff RK, Torres-Mejia G, John EM, Herrick JS, Lundgreen A, Baumgartner KB, Giuliano AR, Hines LM, Fejerman L, Cawthon R, and Slattery ML
- Subjects
- Adult, Aged, Aged, 80 and over, Breast Neoplasms pathology, Female, Genomic Instability, Humans, Middle Aged, Polymorphism, Single Nucleotide, Receptors, Estrogen genetics, Receptors, Progesterone genetics, Risk Factors, Breast Neoplasms genetics, Genetic Association Studies, Telomerase genetics, Telomere genetics, Telomere Homeostasis genetics
- Abstract
Telomeres are involved in maintaining genomic stability. Previous studies have linked both telomere length (TL) and telomere-related genes with cancer. We evaluated associations between telomere-related genes, TL, and breast cancer risk in an admixed population of US non-Hispanic white (1,481 cases, 1,586 controls) and U.S. Hispanic and Mexican women (2,111 cases, 2,597 controls) from the Breast Cancer Health Disparities Study. TL was assessed in 1,500 women based on their genetic ancestry. TL-related genes assessed were MEN1, MRE11A, RECQL5, TEP1, TERC, TERF2, TERT, TNKS, and TNKS2. Longer TL was associated with increased breast cancer risk [odds ratio (OR) 1.87, 95% confidence interval (CI) 1.38, 2.55], with the highest risk (OR 3.11, 95% CI 1.74, 5.67 p interaction 0.02) among women with high Indigenous American ancestry. Several TL-related single nucleotide polymorphisms had modest association with breast cancer risk overall, including TEP1 rs93886 (OR 0.82, 95% CI 0.70,0.95); TERF2 rs3785074 (OR 1.13, 95% CI 1.03,1.24); TERT rs4246742 (OR 0.85, 95% CI 0.77,0.93); TERT rs10069690 (OR 1.13, 95% CI 1.03,1.24); TERT rs2242652 (OR 1.51, 95% CI 1.11,2.04); and TNKS rs6990300 (OR 0.89, 95% CI 0.81,0.97). Several differences in association were detected by hormone receptor status of tumors. Most notable were associations with TERT rs2736118 (ORadj 6.18, 95% CI 2.90, 13.19) with estrogen receptor negative/progesterone receptor positive (ER-/PR+) tumors and TERT rs2735940 (ORadj 0.73, 95% CI 0.59, 0.91) with ER-/PR- tumors. These data provide support for an association between TL and TL-related genes and risk of breast cancer. The association may be modified by hormone receptor status and genetic ancestry., (Copyright © 2013 Wiley Periodicals, Inc.)
- Published
- 2013
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39. Genetic variation in bone morphogenetic proteins and breast cancer risk in hispanic and non-hispanic white women: The breast cancer health disparities study.
- Author
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Slattery ML, John EM, Torres-Mejia G, Herrick JS, Giuliano AR, Baumgartner KB, Hines LM, and Wolff RK
- Subjects
- Adult, Aged, Aged, 80 and over, Female, Genetic Predisposition to Disease, Haplotypes, Healthcare Disparities, Hispanic or Latino, Humans, Indians, North American, Menopause, Mexico epidemiology, Middle Aged, Receptors, Estrogen genetics, Receptors, Progesterone genetics, Risk, San Francisco epidemiology, White People, Young Adult, Bone Morphogenetic Proteins genetics, Breast Neoplasms epidemiology, Breast Neoplasms genetics, Polymorphism, Single Nucleotide
- Abstract
Bone morphogenetic proteins (BMP) are thought to be important in breast cancer promotion and progression. We evaluated genetic variation in BMP-related genes and breast cancer risk among Hispanic (2,111 cases, 2,597 controls) and non-Hispanic White (NHW) (1,481 cases, 1,586 controls) women who participated in the 4-Corner's Breast Cancer Study, the Mexico Breast Cancer Study and the San Francisco Bay Area Breast Cancer Study. BMP genes and their receptors evaluated include ACVR1, AVCR2A, ACVR2B, ACVRL1, BMP1, BMP2, BMP4, BMP6, BMP7, BMPR1A, BMPR1B, BMPR2, MSTN and GDF10. Additionally, 104 ancestral informative markers were assessed to discriminate between European and native American ancestry. The importance of estrogen on BMP-related associations was suggested through unique associations by menopausal status and estrogen (ER) and progesterone (PR) receptor status of tumors. After adjustment for multiple comparisons ACVR1 (8 SNPs) was modestly associated with ER+PR+ tumors [odds ratios (ORs) between 1.18 and 1.39 padj < 0.05]. ACVR1 (3 SNPs) and BMP4 (3 SNPs) were associated with ER+PR- tumors (ORs 0.59-2.07; padj < 0.05). BMPR2 was associated with ER-PR+ tumors (OR 4.20; 95% CI 1.62, 10.91; padj < 0.05) as was GDF10 (2 SNPs; ORs 3.62 and 3.85; padj < 0.05). After adjustment for multiple comparisons several SNPs remained associated with ER-PR- tumors (padj < 0.05) including ACVR1 BMP4 and GDF10 (ORs between 0.53 and 2.12). Differences in association also were observed by percentage of native ancestry and menopausal status. Results support the hypothesis that genetic variation in BMPs is associated with breast cancer in this admixed population., (Copyright © 2012 UICC.)
- Published
- 2013
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40. Matrix metalloproteinase genes are associated with breast cancer risk and survival: the Breast Cancer Health Disparities Study.
- Author
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Slattery ML, John E, Torres-Mejia G, Stern M, Lundgreen A, Hines L, Giuliano A, Baumgartner K, Herrick J, and Wolff RK
- Subjects
- Adult, Female, Genetic Predisposition to Disease genetics, Hispanic or Latino, Humans, Matrix Metalloproteinase 1 genetics, Matrix Metalloproteinase 2 genetics, Matrix Metalloproteinase 3 genetics, Matrix Metalloproteinase 9 genetics, Middle Aged, Polymorphism, Single Nucleotide genetics, Risk Factors, White People, Breast Neoplasms enzymology, Breast Neoplasms genetics, Matrix Metalloproteinases genetics
- Abstract
Matrix metalloproteinases (MMPs) contribute to cancer through their involvement in cancer invasion and metastasis. We evaluated genetic variation in MMP1 (9 SNPs), MMP2 (8 SNPs), MMP3 (4 SNPs), and MMP9 (3 SNPs) and breast cancer risk among Hispanic (2111 cases, 2597 controls) and non-Hispanic white (NHW) (1481 cases, 1586 controls) women in the Breast Cancer Health Disparities Study. Ancestral informative markers (n = 104) were assessed to determine Native American (NA) ancestry. MMP1 [4 single nucleotide polymorphisms (SNPs)] and MMP2 (2 SNPs) were associated with breast cancer overall. MMP1 rs996999 had strongest associations among women with the most NA ancestry (OR 1.61,95% CI 1.09,2.40) as did MMP3 rs650108 (OR 1.36, 95% CI 1.05,1.75) and MMP9 rs3787268 (OR 1.52, 95% CI 1.09,2.13). The adaptive rank truncated product (ARTP) showed a significant pathway p(artp) value of 0.04, with a stronger association among women with the most NA ancestry (p(artp) = 0.02). Significant pathway genes using the ARTP were MMP1 for all women (p(artp) = 0.02) and MMP9 for women with the most NA ancestry (p(artp) = 0.024); MMP2 was borderline significant overall (p(artp) =0.06) and MMP1 and MMP3 were borderline significant for women with the most NA ancestry (p(artp) = 0.07 and 0.06 respectively). MMP1 and MMP2 were associated with ER+/PR+ and ER+/PR-tumors; MMP3 and MMP9 were associated with ER-/PR- tumors. The pathway was highly significant with survival (p(artp) = 0.0041) with MMP2 having the strongest gene association (p(artp) = 0.0007). Our findings suggest that genetic variation in MMP genes influence breast cancer development and survival in this genetically admixed population.
- Published
- 2013
- Full Text
- View/download PDF
41. Associations between TCF7L2 polymorphisms and risk of breast cancer among Hispanic and non-Hispanic white women: the Breast Cancer Health Disparities Study.
- Author
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Connor AE, Baumgartner RN, Baumgartner KB, Kerber RA, Pinkston C, John EM, Torres-Mejia G, Hines L, Giuliano A, Wolff RK, and Slattery ML
- Subjects
- Adult, Aged, Female, Genotype, Humans, Middle Aged, Risk Factors, Breast Neoplasms ethnology, Breast Neoplasms genetics, Genetic Predisposition to Disease, Hispanic or Latino genetics, Polymorphism, Single Nucleotide, Transcription Factor 7-Like 2 Protein genetics, White People genetics
- Abstract
The transcription factor 7-like 2 (TCF7L2) gene is part of the Wnt/β-catenin signaling pathway and plays a critical role in cell development and growth regulation. TCF7L2 variants rs12255372 and rs7903146 have been associated with risk of Type 2 diabetes. Few epidemiological studies have examined the association between TCF7L2 and breast cancer risk. We investigated the associations between 25 TCF7L2 single nucleotide polymorphisms (SNPs) and breast cancer in Hispanic and non-Hispanic white (NHW) women from the 4-Corner's Breast Cancer Study, the San Francisco Bay Area Breast Cancer Study, and the Mexico Breast Cancer Study. A total of 4,703 Hispanic (2,093 cases, 2,610 controls) and 3,031 NHW (1,431 cases, 1,600 controls) women were included. Odds ratios (OR) and 95 % confidence intervals (CI) were calculated using logistic regression to estimate the association between the TCF7L2 SNPs and breast cancer risk. We also examined effect modification by self-reported ethnicity, genetic admixture, and diabetes history. After adjusting for multiple comparisons, four TCF7L2 SNPs were significantly associated with breast cancer overall: rs7903146 (OR(TT) 1.24; 95 % CI 1.03-1.49), rs3750805 (OR(AT/TT) 1.15; 95 % CI 1.03-1.28), rs7900150 (OR(AA) 1.23; 95 % 1.07-1.42), and rs1225404 (OR(CC) 0.82; 95 % 0.70-0.94). Among women with a history of diabetes, the TT genotype of rs3750804 increased breast cancer risk (OR, 2.46; 95 % CI 1.28-4.73). However, there was no association among women without a diabetes history (OR, 1.06; 95 % CI 0.85-1.32). We did not find significant interactions by ethnicity or by genetic admixture. Findings support an association between TCF7L2 and breast cancer and history of diabetes modifies this association for specific variants.
- Published
- 2012
- Full Text
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42. Overweight and obesity status among adolescents from Mexico and Egypt.
- Author
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Salazar-Martinez E, Allen B, Fernandez-Ortega C, Torres-Mejia G, Galal O, and Lazcano-Ponce E
- Subjects
- Adolescent, Adult, Age Distribution, Body Mass Index, Child, Egypt epidemiology, Female, Humans, Male, Mexico epidemiology, Obesity pathology, Prevalence, Sex Characteristics, Obesity epidemiology, Overweight
- Abstract
Background: Obesity is on the rise among adults, adolescents and children worldwide, including populations living in developing countries. This study aimed to describe body mass index of adolescents from Mexico and Egypt and to evaluate non-nutritional correlates from two cohort studies., Methods: Questionnaire data and weight and height measurements were collected in two large baseline studies in adolescents between 11 and 19 years old attending public school during the 1998-1999 school year in Mexico (n = 10,537) and the 1997 school year in Egypt (n = 1,502). The authors compared body mass index and correlates stratified by sex and country through multivariate linear regression., Results: Overall prevalence of overweight and obesity was 19.8 and 7.9%, respectively, among the Mexican adolescents and 12.1 and 6.2%, respectively, among the Egyptian adolescents. Based on U.S. Centers for Disease Control and Prevention (CDC) definition growth charts, for Mexico 18% of boys and 21% of girls were overweight and 11% of boys and 9% of girls were obese. In the Egyptian sample, 7% of boys and 18% of girls were overweight and 6% of boys and 8% of girls were obese. The most consistent correlates of body mass index in the Mexican population were age, years of education, smoking, vitamin intake and participating in sports, whereas the factors correlated among Egyptian adolescents were age and rural residence., Conclusions: Obesity and overweight are becoming a problem among Mexican and Egyptian youth. Information about the risk factors associated with excessive weight gain during the adolescent period is a first step towards proposing prevention strategies.
- Published
- 2006
- Full Text
- View/download PDF
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