Search

Your search keyword '"Severi, Gianluca"' showing total 15 results
Start Over Author "Severi, Gianluca" Journal plos one
15 results on '"Severi, Gianluca"'

1. Polymorphisms of an innate immune gene, toll-like receptor 4, and aggressive prostate cancer risk: a systematic review and meta-analysis.

Author

Weng, Pei-Hsuan, Huang, Yi-Ling, Page, John, Chen, Jen-Hau, Xu, Jianfeng, Koutros, Stella, Berndt, Sonja, Chanock, Stephen, Yeager, Meredith, Eeles, Rosalind, Easton, Douglas, Neal, David, Donovan, Jenny, Hamdy, Freddie, Muir, Kenneth, Giles, Graham, Severi, Gianluca, Smith, Jeffrey, Balistreri, Carmela, Shui, Irene, Chen, Yen-Ching, and Witte, John

Subjects
Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Immunity, Innate, Male, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Toll-Like Receptor 4
Abstract

BACKGROUND: Toll-like receptor 4 (TLR4) is one of the best known TLR members expressed on the surface of several leukocytes and tissue cells and has a key function in detecting pathogen and danger-associated molecular patterns. The role of TLR4 in the pathophysiology of several age-related diseases is also well recognized, such as prostate cancer (PCa). TLR4 polymorphisms have been related to PCa risk, but the relationship between TLR4 genotypes and aggressive PCa risk has not been evaluated by any systematic reviews. METHODS: We performed a systematic review and meta-analysis of candidate-gene and genome-wide association studies analyzing this relationship and included only white population. Considering appropriate criteria, only nine studies were analyzed in the meta-analysis, including 3,937 aggressive PCa and 7,382 controls. RESULTS: Using random effects model, no significant association was found in the ten TLR4 SNPs reported by at least four included studies under any inheritance model (rs2737191, rs1927914, rs10759932, rs1927911, rs11536879, rs2149356, rs4986790, rs11536889, rs7873784, and rs1554973). Pooled estimates from another ten TLR4 SNPs reported by three studies also showed no significant association (rs10759930, rs10116253, rs11536869, rs5030717, rs4986791, rs11536897, rs1927906, rs913930, rs1927905, and rs7045953). Meta-regression revealed that study type was not a significant source of between-study heterogeneity. CONCLUSIONS: TLR4 polymorphisms were not significantly associated with the risk of aggressive PCa.

Published
2014

2. Comparison of 6q25 breast cancer hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC).

Author

Hein, Rebecca, Maranian, Melanie, Hopper, John, Kapuscinski, Miroslaw, Southey, Melissa, Park, Daniel, Schmidt, Marjanka, Broeks, Annegien, Hogervorst, Frans, Bueno-de-Mesquita, H, Muir, Kenneth, Lophatananon, Artitaya, Rattanamongkongul, Suthee, Puttawibul, Puttisak, Fasching, Peter, Hein, Alexander, Ekici, Arif, Beckmann, Matthias, Fletcher, Olivia, Johnson, Nichola, dos Santos Silva, Isabel, Peto, Julian, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Miller, Nicola, Marmee, Frederick, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Guénel, Pascal, Cordina-Duverger, Emilie, Menegaux, Florence, Truong, Thérèse, Bojesen, Stig, Nordestgaard, Børge, Flyger, Henrik, Milne, Roger, Perez, Jose, Zamora, M, Benítez, Javier, Bernstein, Leslie, Clarke, Christina, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Rahman, Nazneen, Seal, Sheila, Turnbull, Clare, Renwick, Anthony, Meindl, Alfons, Schott, Sarah, Bartram, Claus, Schmutzler, Rita, Brauch, Hiltrud, Hamann, Ute, Ko, Yon-Dschun, Wang-Gohrke, Shan, Dörk, Thilo, Schürmann, Peter, Karstens, Johann, Hillemanns, Peter, Nevanlinna, Heli, Heikkinen, Tuomas, Aittomäki, Kristiina, Blomqvist, Carl, Bogdanova, Natalia, Zalutsky, Iosif, Antonenkova, Natalia, Bermisheva, Marina, Prokovieva, Darya, Farahtdinova, Albina, Khusnutdinova, Elza, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana, Chen, Xiaoqing, Beesley, Jonathan, Lambrechts, Diether, Zhao, Hui, Neven, Patrick, Wildiers, Hans, Nickels, Stefan, Flesch-Janys, Dieter, Radice, Paolo, Peterlongo, Paolo, Manoukian, Siranoush, Barile, Monica, Couch, Fergus, Olson, Janet, Wang, Xianshu, Fredericksen, Zachary, Giles, Graham, Baglietto, Laura, McLean, Catriona, and Severi, Gianluca

Subjects
Asia, Breast Neoplasms, Chromosomes, Human, Pair 6, Europe, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Haplotypes, Humans, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Receptors, Estrogen, Risk Factors
Abstract

The 6q25.1 locus was first identified via a genome-wide association study (GWAS) in Chinese women and marked by single nucleotide polymorphism (SNP) rs2046210, approximately 180 Kb upstream of ESR1. There have been conflicting reports about the association of this locus with breast cancer in Europeans, and a GWAS in Europeans identified a different SNP, tagged here by rs12662670. We examined the associations of both SNPs in up to 61,689 cases and 58,822 controls from forty-four studies collaborating in the Breast Cancer Association Consortium, of which four studies were of Asian and 39 of European descent. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI). Case-only analyses were used to compare SNP effects in Estrogen Receptor positive (ER+) versus negative (ER-) tumours. Models including both SNPs were fitted to investigate whether the SNP effects were independent. Both SNPs are significantly associated with breast cancer risk in both ethnic groups. Per-allele ORs are higher in Asian than in European studies [rs2046210: OR (A/G) = 1.36 (95% CI 1.26-1.48), p = 7.6 × 10(-14) in Asians and 1.09 (95% CI 1.07-1.11), p = 6.8 × 10(-18) in Europeans. rs12662670: OR (G/T) = 1.29 (95% CI 1.19-1.41), p = 1.2 × 10(-9) in Asians and 1.12 (95% CI 1.08-1.17), p = 3.8 × 10(-9) in Europeans]. SNP rs2046210 is associated with a significantly greater risk of ER- than ER+ tumours in Europeans [OR (ER-) = 1.20 (95% CI 1.15-1.25), p = 1.8 × 10(-17) versus OR (ER+) = 1.07 (95% CI 1.04-1.1), p = 1.3 × 10(-7), p(heterogeneity) = 5.1 × 10(-6)]. In these Asian studies, by contrast, there is no clear evidence of a differential association by tumour receptor status. Each SNP is associated with risk after adjustment for the other SNP. These results suggest the presence of two variants at 6q25.1 each independently associated with breast cancer risk in Asians and in Europeans. Of these two, the one tagged by rs2046210 is associated with a greater risk of ER- tumours.

Published
2012

3. Breast cancer risk and 6q22.33: combined results from Breast Cancer Association Consortium and Consortium of Investigators on Modifiers of BRCA1/2.

Author

Kirchhoff, Tomas, Gaudet, Mia M, Antoniou, Antonis C, McGuffog, Lesley, Humphreys, Manjeet K, Dunning, Alison M, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Kang, Daehee, Yoo, Keun-Young, Noh, Dong-Young, Ahn, Sei-Hyun, Dork, Thilo, Schürmann, Peter, Karstens, Johann H, Hillemanns, Peter, Couch, Fergus J, Olson, Janet, Vachon, Celine, Wang, Xianshu, Cox, Angela, Brock, Ian, Elliott, Graeme, Reed, Malcolm WR, Burwinkel, Barbara, Meindl, Alfons, Brauch, Hiltrud, Hamann, Ute, Ko, Yon-Dschun, GENICA Network, Broeks, Annegien, Schmidt, Marjanka K, Van 't Veer, Laura J, Braaf, Linde M, Johnson, Nichola, Fletcher, Olivia, Gibson, Lorna, Peto, Julian, Turnbull, Clare, Seal, Sheila, Renwick, Anthony, Rahman, Nazneen, Wu, Pei-Ei, Yu, Jyh-Cherng, Hsiung, Chia-Ni, Shen, Chen-Yang, Southey, Melissa C, Hopper, John L, Hammet, Fleur, Van Dorpe, Thijs, Dieudonne, Anne-Sophie, Hatse, Sigrid, Lambrechts, Diether, Andrulis, Irene L, Bogdanova, Natalia, Antonenkova, Natalia, Rogov, Juri I, Prokofieva, Daria, Bermisheva, Marina, Khusnutdinova, Elza, van Asperen, Christi J, Tollenaar, Robert AEM, Hooning, Maartje J, Devilee, Peter, Margolin, Sara, Lindblom, Annika, Milne, Roger L, Arias, José Ignacio, Zamora, M Pilar, Benítez, Javier, Severi, Gianluca, Baglietto, Laura, Giles, Graham G, kConFab, AOCS Study Group, Spurdle, Amanda B, Beesley, Jonathan, Chen, Xiaoqing, Holland, Helene, Healey, Sue, Wang-Gohrke, Shan, Chang-Claude, Jenny, Mannermaa, Arto, Kosma, Veli-Matti, Kauppinen, Jaana, Kataja, Vesa, Agnarsson, Bjarni A, Caligo, Maria A, Godwin, Andrew K, Nevanlinna, Heli, Heikkinen, Tuomas, Fredericksen, Zachary, Lindor, Noralane, Nathanson, Katherine L, Domchek, Susan M, SWE-BRCA, Loman, Niklas, Karlsson, Per, and Stenmark Askmalm, Marie

Subjects
GENICA Network, kConFab, AOCS Study Group, SWE-BRCA, HEBON, EMBRACE, BCAC/CIMBA, Chromosomes, Human, Pair 6, Humans, Breast Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Receptors, Estrogen, Confidence Intervals, Proportional Hazards Models, Odds Ratio, Risk Factors, Heterozygote, Polymorphism, Single Nucleotide, Alleles, Middle Aged, Female, Genetic Association Studies, Chromosomes, Human, Pair 6, Polymorphism, Single Nucleotide, Receptors, Estrogen, General Science & Technology
Abstract

Recently, a locus on chromosome 6q22.33 (rs2180341) was reported to be associated with increased breast cancer risk in the Ashkenazi Jewish (AJ) population, and this association was also observed in populations of non-AJ European ancestry. In the present study, we performed a large replication analysis of rs2180341 using data from 31,428 invasive breast cancer cases and 34,700 controls collected from 25 studies in the Breast Cancer Association Consortium (BCAC). In addition, we evaluated whether rs2180341 modifies breast cancer risk in 3,361 BRCA1 and 2,020 BRCA2 carriers from 11 centers in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Based on the BCAC data from women of European ancestry, we found evidence for a weak association with breast cancer risk for rs2180341 (per-allele odds ratio (OR) = 1.03, 95% CI 1.00-1.06, p = 0.023). There was evidence for heterogeneity in the ORs among studies (I(2) = 49.3%; p =

Published
2012

4. Psychological distress in the academic population and its association with socio-demographic and lifestyle characteristics during COVID-19 pandemic lockdown: Results from a large multicenter Italian study

Author

Fornili, Marco, primary, Petri, Davide, additional, Berrocal, Carmen, additional, Fiorentino, Giuseppe, additional, Ricceri, Fulvio, additional, Macciotta, Alessandra, additional, Bruno, Andreina, additional, Farinella, Domenica, additional, Baccini, Michela, additional, Severi, Gianluca, additional, and Baglietto, Laura, additional

Published
2021
Full Text
View/download PDF

6. Correction: Vitamin D Metabolic Pathway Genes and Pancreatic Cancer Risk

Author

Arem, Hannah, primary, Yu, Kai, additional, Xiong, Xiaoqin, additional, Moy, Kristin, additional, Freedman, Neal D., additional, Mayne, Susan T., additional, Albanes, Demetrius, additional, Amundadottir, Laufey T., additional, Arslan, Alan A., additional, Austin, Melissa, additional, Bamlet, William R., additional, Beane-Freeman, Laura, additional, Bracci, Paige, additional, Canzian, Federico, additional, Chanock, Stephen J, additional, Cotterchio, Michelle, additional, Duell, Eric J., additional, Gallinger, Steve, additional, Giles, Graham G., additional, Goggins, Michael, additional, Goodman, Phyllis J., additional, Hartge, Patricia, additional, Hassan, Manal, additional, Helzlsouer, Kathy, additional, Henderson, Brian, additional, Holly, Elizabeth A., additional, Hoover, Robert, additional, Jacobs, Eric J., additional, Kamineni, Aruna, additional, Klein, Alison, additional, Klein, Eric, additional, Kolonel, Laurence N., additional, Li, Donghui, additional, Malats, Núria, additional, Männistö, Satu, additional, McCullough, Marjorie L., additional, Olson, Sara H., additional, Orlow, Irene, additional, Peters, Ulrike, additional, Petersen, Gloria M., additional, Porta, Miquel, additional, Severi, Gianluca, additional, Shu, Xiao-Ou, additional, Van Den Eeden, Stephen, additional, Visvanathan, Kala, additional, White, Emily, additional, Yu, Herbert, additional, Zeleniuch-Jacquotte, Anne, additional, Zheng, Wei, additional, Tobias, Geoffrey S., additional, Maeder, Dennis, additional, Brotzman, Michelle, additional, Risch, Harvey, additional, Sampson, Joshua N., additional, and Stolzenberg-Solomon, Rachael Z., additional

Published
2015
Full Text
View/download PDF

7. Vitamin D Metabolic Pathway Genes and Pancreatic Cancer Risk

Author

Arem, Hannah, primary, Yu, Kai, additional, Xiong, Xiaoqin, additional, Moy, Kristin, additional, Freedman, Neal D., additional, Mayne, Susan T., additional, Albanes, Demetrius, additional, Arslan, Alan A., additional, Austin, Melissa, additional, Bamlet, William R., additional, Beane-Freeman, Laura, additional, Bracci, Paige, additional, Canzian, Federico, additional, Cotterchio, Michelle, additional, Duell, Eric J., additional, Gallinger, Steve, additional, Giles, Graham G., additional, Goggins, Michael, additional, Goodman, Phyllis J., additional, Hartge, Patricia, additional, Hassan, Manal, additional, Helzlsouer, Kathy, additional, Henderson, Brian, additional, Holly, Elizabeth A., additional, Hoover, Robert, additional, Jacobs, Eric J., additional, Kamineni, Aruna, additional, Klein, Alison, additional, Klein, Eric, additional, Kolonel, Laurence N., additional, Li, Donghui, additional, Malats, Núria, additional, Männistö, Satu, additional, McCullough, Marjorie L., additional, Olson, Sara H., additional, Orlow, Irene, additional, Peters, Ulrike, additional, Petersen, Gloria M., additional, Porta, Miquel, additional, Severi, Gianluca, additional, Shu, Xiao-Ou, additional, Visvanathan, Kala, additional, White, Emily, additional, Yu, Herbert, additional, Zeleniuch-Jacquotte, Anne, additional, Zheng, Wei, additional, Tobias, Geoffrey S., additional, Maeder, Dennis, additional, Brotzman, Michelle, additional, Risch, Harvey, additional, Sampson, Joshua N., additional, and Stolzenberg-Solomon, Rachael Z., additional

Published
2015
Full Text
View/download PDF

8. Socioeconomic indicators in epidemiologic research: A practical example from the LIFEPATH study.

Author

d’Errico, Angelo, Ricceri, Fulvio, Stringhini, Silvia, Carmeli, Cristian, Kivimaki, Mika, Bartley, Mel, McCrory, Cathal, Bochud, Murielle, Vollenweider, Peter, Tumino, Rosario, Goldberg, Marcel, Zins, Marie, Barros, Henrique, Giles, Graham, Severi, Gianluca, Costa, Giuseppe, Vineis, Paolo, and null, null

Subjects
SOCIOECONOMICS, EPIDEMIOLOGICAL research, SOCIAL indicators, INDUSTRIAL hygiene, HEALTH education, COHORT analysis
Abstract

Background: Several social indicators have been used in epidemiological research to describe socioeconomic position (SEP) of people in societies. Among SEP indicators, those more frequently used are education, occupational class and income. Differences in the incidence of several health outcomes have been reported consistently, independently from the indicator employed. Main objectives of the study were to present the socioeconomic classifications of the social indicators which will be employed throughout the LIFEPATH project and to compare social gradients in all-cause mortality observed in the participating adult cohorts using the different SEP indicators. Methods: Information on the available social indicators (education, own and father’s occupational class, income) from eleven adult cohorts participating in LIFEPATH was collected and harmonized. Mortality by SEP for each indicator was estimated by Poisson regression on each cohort and then evaluated using a meta-analytical approach. Results: In the meta-analysis, among men mortality was significantly inversely associated with both occupational class and education, but not with father’s occupational class; among women, the increase in mortality in lower social strata was smaller than among men and, except for a slight increase in the lowest education category, no significant differences were found. Conclusions: Among men, the proposed three-level classifications of occupational class and education were found to predict differences in mortality which is consistent with previous research. Results on women suggest that classifying them through their sole SEP, without considering that of their partners, may imply a misclassification of their social position leading to attenuation of mortality differences. [ABSTRACT FROM AUTHOR]

Published
2017
Full Text
View/download PDF

9. A Genome-Wide “Pleiotropy Scan” Does Not Identify New Susceptibility Loci for Estrogen Receptor Negative Breast Cancer

Author

Campa, Daniele, primary, Barrdahl, Myrto, additional, Tsilidis, Konstantinos K., additional, Severi, Gianluca, additional, Diver, W. Ryan, additional, Siddiq, Afshan, additional, Chanock, Stephen, additional, Hoover, Robert N., additional, Ziegler, Regina G., additional, Berg, Christine D., additional, Buys, Saundra S., additional, Haiman, Christopher A., additional, Henderson, Brian E., additional, Schumacher, Fredrick R., additional, Le Marchand, Loïc, additional, Flesch-Janys, Dieter, additional, Lindström, Sara, additional, Hunter, David J., additional, Hankinson, Susan E., additional, Willett, Walter C., additional, Kraft, Peter, additional, Cox, David G., additional, Khaw, Kay-Tee, additional, Tjønneland, Anne, additional, Dossus, Laure, additional, Trichopoulos, Dimitrios, additional, Panico, Salvatore, additional, van Gils, Carla H., additional, Weiderpass, Elisabete, additional, Barricarte, Aurelio, additional, Sund, Malin, additional, Gaudet, Mia M., additional, Giles, Graham, additional, Southey, Melissa, additional, Baglietto, Laura, additional, Chang-Claude, Jenny, additional, Kaaks, Rudolf, additional, and Canzian, Federico, additional

Published
2014
Full Text
View/download PDF

11. Correction: Comparison of 6q25 Breast Cancer Hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC)

Author

Hein, Rebecca, primary, Maranian, Melanie, additional, Hopper, John L., additional, Kapuscinski, Miroslaw K., additional, Southey, Melissa C., additional, Park, Daniel J., additional, Schmidt, Marjanka K., additional, Broeks, Annegien, additional, Hogervorst, Frans B. L., additional, Bueno-de-Mesquit, H. Bas, additional, Muir, Kenneth R., additional, Lophatananon, Artitaya, additional, Rattanamongkongul, Suthee, additional, Puttawibul, Puttisak, additional, Fasching, Peter A., additional, Hein, Alexander, additional, Ekici, Arif B., additional, Beckmann, Matthias W., additional, Fletcher, Olivia, additional, Johnson, Nichola, additional, dos Santos Silva, Isabel, additional, Peto, Julian, additional, Sawyer, Elinor, additional, Tomlinson, Ian, additional, Kerin, Michael, additional, Miller, Nicola, additional, Marmee, Frederick, additional, Schneeweiss, Andreas, additional, Sohn, Christof, additional, Burwinkel, Barbara, additional, Guénel, Pascal, additional, Cordina-Duverger, Emilie, additional, Menegaux, Florence, additional, Truong, Thérèse, additional, Bojesen, Stig E., additional, Nordestgaard, Børge G., additional, Flyger, Henrik, additional, Milne, Roger L., additional, Perez, Jose Ignacio Arias, additional, Zamora, M. Pilar, additional, Benítez, Javier, additional, Anton-Culver, Hoda, additional, Ziogas, Argyrios, additional, Bernstein, Leslie, additional, Clarke, Christina A., additional, Brenner, Hermann, additional, Müller, Heiko, additional, Arndt, Volker, additional, Stegmaier, Christa, additional, Rahman, Nazneen, additional, Seal, Sheila, additional, Turnbull, Clare, additional, Renwick, Anthony, additional, Meindl, Alfons, additional, Schott, Sarah, additional, Bartram, Claus R., additional, Schmutzler, Rita K., additional, Brauch, Hiltrud, additional, Hamann, Ute, additional, Ko, Yon-Dschun, additional, Wang-Gohrke, Shan, additional, Dörk, Thilo, additional, Schürmann, Peter, additional, Karstens, Johann H., additional, Hillemanns, Peter, additional, Nevanlinna, Heli, additional, Heikkinen, Tuomas, additional, Aittomäki, Kristiina, additional, Blomqvist, Carl, additional, Bogdanova, Natalia V., additional, Zalutsky, Iosif V., additional, Antonenkova, Natalia N., additional, Bermisheva, Marina, additional, Prokovieva, Darya, additional, Farahtdinova, Albina, additional, Khusnutdinova, Elza, additional, Lindblom, Annika, additional, Margolin, Sara, additional, Mannermaa, Arto, additional, Kataja, Vesa, additional, Kosma, Veli-Matti, additional, Hartikainen, Jaana, additional, Chen, Xiaoqing, additional, Beesley, Jonathan, additional, Investigators, kConFab, additional, Lambrechts, Diether, additional, Zhao, Hui, additional, Neven, Patrick, additional, Wildiers, Hans, additional, Nickels, Stefan, additional, Flesch-Janys, Dieter, additional, Radice, Paolo, additional, Peterlongo, Paolo, additional, Manoukian, Siranoush, additional, Barile, Monica, additional, Couch, Fergus J., additional, Olson, Janet E., additional, Wang, Xianshu, additional, Fredericksen, Zachary, additional, Giles, Graham G., additional, Baglietto, Laura, additional, McLean, Catriona A., additional, Severi, Gianluca, additional, Offit, Kenneth, additional, Robson, Mark, additional, Gaudet, Mia M., additional, Vijai, Joseph, additional, Alnæs, Grethe Grenaker, additional, Kristensen, Vessela, additional, Børresen-Dale, Anne-Lise, additional, John, Esther M., additional, Miron, Alexander, additional, Winqvist, Robert, additional, Pylkäs, Katri, additional, Jukkola-Vuorinen, Arja, additional, Grip, Mervi, additional, Andrulis, Irene L., additional, Knight, Julia A., additional, Glendon, Gord, additional, Mulligan, Anna Marie, additional, Figueroa, Jonine D., additional, García-Closas, Montserrat, additional, Lissowska, Jolanta, additional, Sherman, Mark E., additional, Hooning, Maartje, additional, Martens, John W. M., additional, Seynaeve, Caroline, additional, Collée, Margriet, additional, Hall, Per, additional, Humpreys, Keith, additional, Czene, Kamila, additional, Liu, Jianjun, additional, Cox, Angela, additional, Brock, Ian W., additional, Cross, Simon S., additional, Reed, Malcolm W. R., additional, Ahmed, Shahana, additional, Ghoussaini, Maya, additional, Pharoah, Paul DP., additional, Kang, Daehee, additional, Yoo, Keun-Young, additional, Noh, Dong-Young, additional, Jakubowska, Anna, additional, Jaworska, Katarzyna, additional, Durda, Katarzyna, additional, Złowocka, Elżbieta, additional, Sangrajrang, Suleeporn, additional, Gaborieau, Valerie, additional, Brennan, Paul, additional, McKay, James, additional, Shen, Chen-Yang, additional, Yu, Jyh-Cherng, additional, Hsu, Huan-Ming, additional, Hou, Ming-Feng, additional, Orr, Nick, additional, Schoemaker, Minouk, additional, Ashworth, Alan, additional, Swerdlow, Anthony, additional, Trentham-Dietz, Amy, additional, Newcomb, Polly A., additional, Titus, Linda, additional, Egan, Kathleen M., additional, Chenevix-Trench, Georgia, additional, Antoniou, Antonis C., additional, Humphreys, Manjeet K., additional, Morrison, Jonathan, additional, Chang-Claude, Jenny, additional, Easton, Douglas F., additional, and Dunning, Alison M., additional

Published
2012
Full Text
View/download PDF

12. Characterizing Associations and SNP-Environment Interactions for GWAS-Identified Prostate Cancer Risk Markers—Results from BPC3

Author

Lindstrom, Sara, primary, Schumacher, Fredrick, additional, Siddiq, Afshan, additional, Travis, Ruth C., additional, Campa, Daniele, additional, Berndt, Sonja I., additional, Diver, W. Ryan, additional, Severi, Gianluca, additional, Allen, Naomi, additional, Andriole, Gerald, additional, Bueno-de-Mesquita, Bas, additional, Chanock, Stephen J., additional, Crawford, David, additional, Gaziano, J. Michael, additional, Giles, Graham G., additional, Giovannucci, Edward, additional, Guo, Carolyn, additional, Haiman, Christopher A., additional, Hayes, Richard B., additional, Halkjaer, Jytte, additional, Hunter, David J., additional, Johansson, Mattias, additional, Kaaks, Rudolf, additional, Kolonel, Laurence N., additional, Navarro, Carmen, additional, Riboli, Elio, additional, Sacerdote, Carlotta, additional, Stampfer, Meir, additional, Stram, Daniel O., additional, Thun, Michael J., additional, Trichopoulos, Dimitrios, additional, Virtamo, Jarmo, additional, Weinstein, Stephanie J., additional, Yeager, Meredith, additional, Henderson, Brian, additional, Ma, Jing, additional, Le Marchand, Loic, additional, Albanes, Demetrius, additional, and Kraft, Peter, additional

Published
2011
Full Text
View/download PDF

13. A Genome-Wide “Pleiotropy Scan” Does Not Identify New Susceptibility Loci for Estrogen Receptor Negative Breast Cancer.

Author

Campa, Daniele, Barrdahl, Myrto, Tsilidis, Konstantinos K., Severi, Gianluca, Diver, W. Ryan, Siddiq, Afshan, Chanock, Stephen, Hoover, Robert N., Ziegler, Regina G., Berg, Christine D., Buys, Saundra S., Haiman, Christopher A., Henderson, Brian E., Schumacher, Fredrick R., Le Marchand, Loïc, Flesch-Janys, Dieter, Lindström, Sara, Hunter, David J., Hankinson, Susan E., and Willett, Walter C.

Subjects
BREAST cancer, GENETIC pleiotropy, DISEASE susceptibility, ESTROGEN receptors, SINGLE nucleotide polymorphisms, GENETIC epidemiology
Abstract

Approximately 15–30% of all breast cancer tumors are estrogen receptor negative (ER−). Compared with ER-positive (ER+) disease they have an earlier age at onset and worse prognosis. Despite the vast number of risk variants identified for numerous cancer types, only seven loci have been unambiguously identified for ER-negative breast cancer. With the aim of identifying new susceptibility SNPs for this disease we performed a pleiotropic genome-wide association study (GWAS). We selected 3079 SNPs associated with a human complex trait or disease at genome-wide significance level (P<5×10−8) to perform a secondary analysis of an ER-negative GWAS from the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium (BPC3), including 1998 cases and 2305 controls from prospective studies. We then tested the top ten associations (i.e. with the lowest P-values) using three additional populations with a total sample size of 3509 ER+ cases, 2543 ER− cases and 7031 healthy controls. None of the 3079 selected variants in the BPC3 ER-GWAS were significant at the adjusted threshold. 186 variants were associated with ER− breast cancer risk at a conventional threshold of P<0.05, with P-values ranging from 0.049 to 2.3×10−4. None of the variants reached statistical significance in the replication phase. In conclusion, this study did not identify any novel susceptibility loci for ER-breast cancer using a “pleiotropic approach”. [ABSTRACT FROM AUTHOR]

Published
2014
Full Text
View/download PDF

14. Population-Based Estimate of Prostate Cancer Risk for Carriers of the HOXB13 Missense Mutation G84E.

Author

MacInnis, Robert J., Severi, Gianluca, Baglietto, Laura, Dowty, James G., Jenkins, Mark A., Southey, Melissa C., Hopper, John L., and Giles, Graham G.

Subjects
*PROSTATE cancer risk factors, *MISSENSE mutation, *CONFIDENCE intervals, *MEDICAL statistics, *MEDICAL genetics, *HEALTH policy, *EARLY detection of cancer
Abstract

The HOXB13 missense mutation G84E (rs138213197) is associated with increased risk of prostate cancer, but the current estimate of increased risk has a wide confidence interval (width of 95% confidence interval (CI) >200-fold) so the point estimate of 20-fold increased risk could be misleading. Population-based family studies can be more informative for estimating risks for rare variants, therefore, we screened for mutations in an Australian population-based series of early-onset prostate cancer cases (probands). We found that 19 of 1,384 (1.4%) probands carried the missense mutation, and of these, six (32%) had a family history of prostate cancer. We tested the 22 relatives of carriers diagnosed from 1998 to 2008 for whom we had a DNA sample, and found seven more carriers and one obligate carrier. The age-specific incidence for carriers was estimated to be, on average, 16.4 (95% CI 2.5–107.2) times that for the population over the time frame when the relatives were at risk prior to baseline. We then estimated the age and birth year- specific cumulative risk of prostate cancer (penetrance) for carriers. For example, the penetrance for an unaffected male carrier born in 1950 was 19% (95% CI 5–46%) at age 60 years, 44% (95% CI 18–74%) at age 70 years and 60% (95% CI 30–85%) at age 80 years. Our study has provided a population-based estimate of the average risk of prostate cancer for HOXB13 missense mutation G84E carriers that can be used to guide clinical practice and research. This study has also shown that the majority of hereditary prostate cancers due to the HOXB13 missense mutation are ‘sporadic’ in the sense that unselected cases with the missense mutation do not typically report having a family history of prostate cancer. [ABSTRACT FROM AUTHOR]

Published
2013
Full Text
View/download PDF

15. Socioeconomic indicators in epidemiologic research: A practical example from the LIFEPATH study.

Author

d'Errico A, Ricceri F, Stringhini S, Carmeli C, Kivimaki M, Bartley M, McCrory C, Bochud M, Vollenweider P, Tumino R, Goldberg M, Zins M, Barros H, Giles G, Severi G, Costa G, and Vineis P

Subjects
Female, Humans, Male, Epidemiologic Studies, Socioeconomic Factors
Abstract

Background: Several social indicators have been used in epidemiological research to describe socioeconomic position (SEP) of people in societies. Among SEP indicators, those more frequently used are education, occupational class and income. Differences in the incidence of several health outcomes have been reported consistently, independently from the indicator employed. Main objectives of the study were to present the socioeconomic classifications of the social indicators which will be employed throughout the LIFEPATH project and to compare social gradients in all-cause mortality observed in the participating adult cohorts using the different SEP indicators., Methods: Information on the available social indicators (education, own and father's occupational class, income) from eleven adult cohorts participating in LIFEPATH was collected and harmonized. Mortality by SEP for each indicator was estimated by Poisson regression on each cohort and then evaluated using a meta-analytical approach., Results: In the meta-analysis, among men mortality was significantly inversely associated with both occupational class and education, but not with father's occupational class; among women, the increase in mortality in lower social strata was smaller than among men and, except for a slight increase in the lowest education category, no significant differences were found., Conclusions: Among men, the proposed three-level classifications of occupational class and education were found to predict differences in mortality which is consistent with previous research. Results on women suggest that classifying them through their sole SEP, without considering that of their partners, may imply a misclassification of their social position leading to attenuation of mortality differences.

Published
2017
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results