Výsledky vyhledávání - "Jonine D. Figuero"

Supplementary Tables 1 - 4 from Common Breast Cancer Susceptibility Variants in LSP1 and RAD51L1 Are Associated with Mammographic Density Measures that Predict Breast Cancer Risk

Autor: Isabel dos-Santos-Silva, John L. Hopper, V. Shane Pankratz, Anna H. Wu, Tina Audley, Kamila Czene, Louise Eriksson, JianJun Liu, Edyta Reszka, Agnieszka Bukowska, Beata Peplonska, Ewa Wesolowska, Jolanta Lissowska, Jonine D. Figuero, Norman F. Boyd, Julia A. Knight, Irene L. Andrulis, David J. Hunter, Susan E. Hankinson, Sara Lindström, Anne-Lise Børresen-Dale, Vessela N. Kristensen, Inger Torhild Gram, Grethe I.G. Alnaes, Margarethe Biong, Valeria A. McCormack, Nichola Johnson, Kate Walker, Christopher A. Haiman, Gertraud Maskarinec, Christy Woolcott, Laurence N. Kolonel, Loic Le Marchand, Melissa C. Southey, Kavitha Krishnan, Laura Baglietto, Graham G. Giles, Fergus J. Couch, Gek Kwan-Lim, Martin O. Leach, Rosalind A. Eeles, Susan J. Ramus, Simon A. Gayther, Eunjung Lee, Giske Ursin, Kay-Tee Khaw, Ruth J.F. Loos, Nicholas J. Wareham, Ruth M.L. Warren, Robert N. Luben, Deborah J. Thompson, Douglas F. Easton, Jajini S. Varghese, Jean Leyland, Judith Brown, Petra H.M. Peeters, N. Charlotte Onland-Moret, Mariëtte Lokate, Carla H. van Gils, Javier Benitez, Anna Gonzalez-Neira, Pablo Fernández-Navarro, Marina Pollan, Matthias W. Beckmann, Katharina Heusinger, Sebastian M. Jud, Gretchen L. Gierach, Fabrice Odefrey, Carmel Apicella, Jennifer Stone, Jingmei Li, Rulla M. Tamimi, Per Hall, Peter A. Fasching, Christopher G. Scott, Celine M. Vachon

PDF file, 120KB, Supplemental Table 1. Study Descriptions, Design and Sample Size for 19 DENSNP Studies. Caucasian Women Only. Supplemental Table 2. Source and Timing of Reproductive and Anthropometric Variable Collection. Supplemental Table 3. Descr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::106cd14f874b5a2c22d765474c55762b
https://doi.org/10.1158/1055-9965.22436251.v1

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Supplementary Table 5 from Common Breast Cancer Susceptibility Variants in LSP1 and RAD51L1 Are Associated with Mammographic Density Measures that Predict Breast Cancer Risk

PDF file, 20KB, Supplemental Table 5a. Associations of Common Breast Cancer Susceptibility Variants with Adjusted Percent Mammographic Density. Supplemental Table 5b. Associations of Common Breast Cancer Susceptibility Variants with Adjusted Mammogra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::297dbef3c0bbfee3f04fdb20ed0b0e47
https://doi.org/10.1158/1055-9965.22436257

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Supplementary Table 6 from Common Breast Cancer Susceptibility Variants in LSP1 and RAD51L1 Are Associated with Mammographic Density Measures that Predict Breast Cancer Risk

PDF file, 133KB, Supplemental Table 6a. Per-Allele Association (SE) of Breast Cancer Susceptibility Variants with Mammographic Percent Density Stratifying by Case Status, BMI, Menopausal Status and PMH Use. Supplemental Table 6b. Per-Allele Associati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::207929130383132063ca9029b0d2d1ff
https://doi.org/10.1158/1055-9965.22436254.v1

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Data from Common Breast Cancer Susceptibility Variants in LSP1 and RAD51L1 Are Associated with Mammographic Density Measures that Predict Breast Cancer Risk

Background: Mammographic density adjusted for age and body mass index (BMI) is a heritable marker of breast cancer susceptibility. Little is known about the biologic mechanisms underlying the association between mammographic density and breast cancer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cb1d26646979d66761acd4c74d6697a
https://doi.org/10.1158/1055-9965.c.6515299

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Common breast cancer susceptibility variants in LSP1 and RAD51L1 are associated with mammographic density measures that predict breast cancer risk

Autor: Susan E. Hankinson, Ruth Warren, Javier Benitez, Jennifer Stone, Kavitha Krishnan, Carla H. van Gils, Laura Baglietto, Robert Luben, Kate Walker, Gek Kwan-Lim, Margarethe Biong, Kamila Czene, Pablo Fernández-Navarro, Christy G. Woolcott, Graham G. Giles, Petra H.M. Peeters, John L. Hopper, Irene L. Andrulis, Rosalind A. Eeles, Grethe I. Grenaker Alnæs, Laurence N. Kolonel, Douglas F. Easton, Jianjun Liu, Nicholas J. Wareham, Valeria A. McCormack, Simon A. Gayther, Louise Eriksson, Katharina Heusinger, Fabrice Odefrey, Fergus J. Couch, Anna H. Wu, Jolanta Lissowska, Ruth J. F. Loos, Judith C. C. Brown, Gertraud Maskarinec, Kay-Tee Khaw, Mariëtte Lokate, David J. Hunter, Martin O. Leach, Vessela N. Kristensen, V. Shane Pankratz, Tina Audley, Christopher G. Scott, Jajini Varghese, Anna González-Neira, Rulla M. Tamimi, D Thompson, Melissa C. Southey, N. Charlotte Onland-Moret, Gretchen L. Gierach, Anne Lise Børresen-Dale, Celine M. Vachon, Jingmei Li, Carmel Apicella, Ewa Wesolowska, Susan J. Ramus, Nichola Johnson, Jean Leyland, Isabel dos-Santos-Silva, Norman F. Boyd, Sebastian M. Jud, Per Hall, Inger T. Gram, Peter A. Fasching, Christopher A. Haiman, Agnieszka Bukowska, Loic Le Marchand, Marina Pollán, Eunjung Lee, Edyta Reszka, Jonine D. Figuero, Sara Lindström, Beata Peplonska, Matthias W. Beckmann, Giske Ursin, Julia A. Knight

Publikováno v: Cancer Epidemiology Biomarkers & Prevention
Repisalud
Instituto de Salud Carlos III (ISCIII)
Cancer Epidemiology Biomarkers & Prevention; Vol 21

BACKGROUND: Mammographic density adjusted for age and body mass index (BMI) is a heritable marker of breast cancer susceptibility. Little is known about the biologic mechanisms underlying the association between mammographic density and breast cancer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d5266b741dd2b5116fd36ede275da9b
https://hdl.handle.net/20.500.12105/7329

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