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1. Disentangling the relationships of body mass index and circulating sex hormone concentrations in mammographic density using Mendelian randomization

Author

Haas, Cameron B., Chen, Hongjie, Harrison, Tabitha, Fan, Shaoqi, Gago-Dominguez, Manuela, Castelao, Jose E., Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Dunning, Alison M., Easton, Douglas F., Antoniou, Antonis C., Hall, Per, Czene, Kamila, Andrulis, Irene L., Mulligan, Anna Marie, Milne, Roger L., Fasching, Peter A., Haeberle, Lothar, Garcia-Closas, Montserrat, Ahearn, Thomas, Gierach, Gretchen L., Haiman, Christopher, Maskarinec, Gertraud, Couch, Fergus J., Olson, Janet E., John, Esther M., Chenevix-Trench, Geogia, Berrington de Gonzalez, Amy, Jones, Michael, Stone, Jennifer, Murphy, Rachel, Aronson, Kristan J., Wernli, Karen J., Hsu, Li, Vachon, Celine, Tamimi, Rulla M., and Lindström, Sara

Published
2024
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4. Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions

Author

Lindström, Sara, Wang, Lu, Feng, Helian, Majumdar, Arunabha, Huo, Sijia, Macdonald, James, Harrison, Tabitha, Turman, Constance, Chen, Hongjie, Mancuso, Nicholas, Bammler, Theo, Consortium, Breast Cancer Association, Gallinger, Steve, Gruber, Stephen B, Gunter, Marc J, Le Marchand, Loic, Moreno, Victor, Offit, Kenneth, Study, Genetics And Epidemiology Of Colorectal Cancer Consortium Colorectal Transdisciplinary Study Colon Cancer Family Registry, De Vivo, Immaculata, O’Mara, Tracy A, Spurdle, Amanda B, Tomlinson, Ian, Consortium, Endometrial Cancer Association, Fitzgerald, Rebecca, Gharahkhani, Puya, Gockel, Ines, Jankowski, Janusz, Macgregor, Stuart, Schumacher, Johannes, Barnholtz-Sloan, Jill, Bondy, Melissa L, Houlston, Richard S, Jenkins, Robert B, Melin, Beatrice, Wrensch, Margaret, Brennan, Paul, Christiani, David C, Johansson, Mattias, Mckay, James, Aldrich, Melinda C, Amos, Christopher I, Landi, Maria Teresa, Tardon, Adonina, Consortium, International Lung Cancer, Bishop, D Timothy, Demenais, Florence, Goldstein, Alisa M, Iles, Mark M, Kanetsky, Peter A, Law, Matthew H, Consortium, Ovarian Cancer Association, Amundadottir, Laufey T, Stolzenberg-Solomon, Rachael, Wolpin, Brian M, Consortium, Pancreatic Cancer Cohort, Klein, Alison, Petersen, Gloria, Risch, Harvey, Consortium, The PRACTICAL Consortium Pancreatic Cancer Case-Control, Chanock, Stephen J, Purdue, Mark P, Scelo, Ghislaine, Pharoah, Paul, Kar, Siddhartha, Hung, Rayjean J, Pasaniuc, Bogdan, and Kraft, Peter

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Human Genome, Genetics, Digestive Diseases, Prevention, Clinical Research, Urologic Diseases, Cancer, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Male, Humans, Genome-Wide Association Study, Genetic Predisposition to Disease, Neoplasms, Risk Factors, Transcriptome, Polymorphism, Single Nucleotide, Breast Cancer Association Consortium, Colorectal Transdisciplinary Study (CORECT), Colon Cancer Family Registry Study (CCFR), Genetics And Epidemiology Of Colorectal Cancer Consortium, Endometrial Cancer Association Consortium, International Lung Cancer Consortium, Ovarian Cancer Association Consortium, Pancreatic Cancer Cohort Consortium, Pancreatic Cancer Case-Control Consortium (Panc4), The PRACTICAL Consortium, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundThe shared inherited genetic contribution to risk of different cancers is not fully known. In this study, we leverage results from 12 cancer genome-wide association studies (GWAS) to quantify pairwise genome-wide genetic correlations across cancers and identify novel cancer susceptibility loci.MethodsWe collected GWAS summary statistics for 12 solid cancers based on 376 759 participants with cancer and 532 864 participants without cancer of European ancestry. The included cancer types were breast, colorectal, endometrial, esophageal, glioma, head and neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancers. We conducted cross-cancer GWAS and transcriptome-wide association studies to discover novel cancer susceptibility loci. Finally, we assessed the extent of variant-specific pleiotropy among cancers at known and newly identified cancer susceptibility loci.ResultsWe observed widespread but modest genome-wide genetic correlations across cancers. In cross-cancer GWAS and transcriptome-wide association studies, we identified 15 novel cancer susceptibility loci. Additionally, we identified multiple variants at 77 distinct loci with strong evidence of being associated with at least 2 cancer types by testing for pleiotropy at known cancer susceptibility loci.ConclusionsOverall, these results suggest that some genetic risk variants are shared among cancers, though much of cancer heritability is cancer-specific and thus tissue-specific. The increase in statistical power associated with larger sample sizes in cross-disease analysis allows for the identification of novel susceptibility regions. Future studies incorporating data on multiple cancer types are likely to identify additional regions associated with the risk of multiple cancer types.

Published
2023

5. Assessing the associations between known genetic variants and substance use in people with HIV in the United States.

Author

Haas, Cameron, Jordahl, Kristina, Nance, Robin, Whitney, Bridget, Wang, Lu, Delaney, Joseph, Ruderman, Stephanie, Jia, Tongqiu, Saag, Michael, Lee, Sulggi, Napravnik, Sonia, Jacobson, Jeffrey, Chander, Geetanjali, McCall, Elizabeth, Moore, Richard, Mayer, Kenneth, Mukherjee, Shubhabrata, Lee, Won, Crane, Paul, Crane, Heidi, Peter, Inga, Lindström, Sara, and Mathews, Christopher

Subjects
Humans, United States, Genome-Wide Association Study, Smoking, Alcohol Drinking, Substance-Related Disorders, Cannabis, Ethanol, HIV Infections
Abstract

BACKGROUND: The prevalence of substance use in people with HIV (PWH) in the United States is higher than in the general population and is an important driver of HIV-related outcomes. We sought to assess if previously identified genetic associations that contribute to substance use are also observed in a population of PWH. METHODS: We performed genome-wide association studies (GWAS) of alcohol, smoking, and cannabis use phenotypes in a multi-ancestry population of 7,542 PWH from the Center for AIDS Research Network of Integrated Clinical Systems (CNICS). We conducted multi-ancestry GWAS for individuals of African (n = 3,748), Admixed American (n = 1,334), and European (n = 2,460) ancestry. Phenotype data were self-reported and collected using patient reported outcomes (PROs) and three questions from AUDIT-C, an alcohol screening tool. We analyzed nine phenotypes: 1) frequency of alcohol consumption, 2) typical number of drinks on a day when drinking alcohol, 3) frequency of five or more alcoholic drinks in a 30-day period, 4) smoking initiation, 5) smoking cessation, 6) cigarettes per day, 7) cannabis use initiation, 8) cannabis use cessation, 9) frequency of cannabis use during the previous 30 days. For each phenotype we considered a) variants previously identified as associated with a substance use trait and b) novel associations. RESULTS: We observed evidence for effects of previously reported single nucleotide polymorphisms (SNPs) related to alcohol (rs1229984, p = 0.001), tobacco (rs11783093, p = 2.22E-4), and cannabis use (rs2875907, p = 0.005). We also report two novel loci (19p13.2, p = 1.3E-8; and 20p11.21, p = 2.1E-8) associated with cannabis use cessation. CONCLUSIONS: Our analyses contribute to understanding the genetic bases of substance use in a population with relatively higher rates of use compared to the general population.

Published
2023

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

Author

Middha, Pooja, Wang, Xiaoliang, Behrens, Sabine, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Ahearn, Thomas U., Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J., Auer, Paul L., Augustinsson, Annelie, Baert, Thaïs, Freeman, Laura E. Beane, Becher, Heiko, Beckmann, Matthias W., Benitez, Javier, Bojesen, Stig E., Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Castelao, Jose E., Chanock, Stephen J., Chenevix-Trench, Georgia, Cordina-Duverger, Emilie, Couch, Fergus J., Cox, Angela, Cross, Simon S., Czene, Kamila, Dossus, Laure, Dugué, Pierre-Antoine, Eliassen, A. Heather, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine D., Fletcher, Olivia, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Giles, Graham G., González-Neira, Anna, Grassmann, Felix, Grundy, Anne, Guénel, Pascal, Haiman, Christopher A., Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan E., Harkness, Elaine F., Holleczek, Bernd, Hoppe, Reiner, Hopper, John L., Houlston, Richard S., Howell, Anthony, Hunter, David J., Ingvar, Christian, Isaksson, Karolin, Jernström, Helena, John, Esther M., Jones, Michael E., Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M., Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W., Lacey, James V., Lambrechts, Diether, Larson, Nicole L., Larsson, Susanna, Le Marchand, Loic, Lejbkowicz, Flavio, Li, Shuai, Linet, Martha, Lissowska, Jolanta, Martinez, Maria Elena, Maurer, Tabea, Mulligan, Anna Marie, Mulot, Claire, Murphy, Rachel A., Newman, William G., Nielsen, Sune F., Nordestgaard, Børge G., Norman, Aaron, O’Brien, Katie M., Olson, Janet E., Patel, Alpa V., Prentice, Ross, Rees-Punia, Erika, Rennert, Gad, Rhenius, Valerie, Ruddy, Kathryn J., Sandler, Dale P., Scott, Christopher G., Shah, Mitul, Shu, Xiao-Ou, Smeets, Ann, Southey, Melissa C., Stone, Jennifer, Tamimi, Rulla M., Taylor, Jack A., Teras, Lauren R., Tomczyk, Katarzyna, Troester, Melissa A., Truong, Thérèse, Vachon, Celine M., Wang, Sophia S., Weinberg, Clarice R., Wildiers, Hans, Willett, Walter, Winham, Stacey J., Wolk, Alicja, Yang, Xiaohong R., Zamora, M. Pilar, Zheng, Wei, Ziogas, Argyrios, Dunning, Alison M., Pharoah, Paul D. P., García-Closas, Montserrat, Schmidt, Marjanka K., Kraft, Peter, Milne, Roger L., Lindström, Sara, Easton, Douglas F., and Chang-Claude, Jenny

Published
2023
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9. Genome-wide interaction analysis of menopausal hormone therapy use and breast cancer risk among 62,370 women

Author

Wang, Xiaoliang, Kapoor, Pooja Middha, Auer, Paul L, Dennis, Joe, Dunning, Alison M, Wang, Qin, Lush, Michael, Michailidou, Kyriaki, Bolla, Manjeet K, Aronson, Kristan J, Murphy, Rachel A, Brooks-Wilson, Angela, Lee, Derrick G, Cordina-Duverger, Emilie, Guénel, Pascal, Truong, Thérèse, Mulot, Claire, Teras, Lauren R, Patel, Alpa V, Dossus, Laure, Kaaks, Rudolf, Hoppe, Reiner, Lo, Wing-Yee, Brüning, Thomas, Hamann, Ute, Czene, Kamila, Gabrielson, Marike, Hall, Per, Eriksson, Mikael, Jung, Audrey, Becher, Heiko, Couch, Fergus J, Larson, Nicole L, Olson, Janet E, Ruddy, Kathryn J, Giles, Graham G, MacInnis, Robert J, Southey, Melissa C, Le Marchand, Loic, Wilkens, Lynne R, Haiman, Christopher A, Olsson, Håkan, Augustinsson, Annelie, Krüger, Ute, Wagner, Philippe, Scott, Christopher, Winham, Stacey J, Vachon, Celine M, Perou, Charles M, Olshan, Andrew F, Troester, Melissa A, Hunter, David J, Eliassen, Heather A, Tamimi, Rulla M, Brantley, Kristen, Andrulis, Irene L, Figueroa, Jonine, Chanock, Stephen J, Ahearn, Thomas U, García-Closas, Montserrat, Evans, Gareth D, Newman, William G, van Veen, Elke M, Howell, Anthony, Wolk, Alicja, Håkansson, Niclas, Anton-Culver, Hoda, Ziogas, Argyrios, Jones, Michael E, Orr, Nick, Schoemaker, Minouk J, Swerdlow, Anthony J, Kitahara, Cari M, Linet, Martha, Prentice, Ross L, Easton, Douglas F, Milne, Roger L, Kraft, Peter, Chang-Claude, Jenny, and Lindström, Sara

Subjects
Genetics, Cancer, Aging, Human Genome, Breast Cancer, Prevention, Estrogen, 2.1 Biological and endogenous factors, Aetiology, Breast, Breast Neoplasms, Estrogen Replacement Therapy, Female, Hormone Replacement Therapy, Humans, Male, Menopause, Risk Factors
Abstract

Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values

Published
2022

10. Genome-Wide Interaction Analysis of Menopausal Hormone Therapy Use and Breast Cancer Risk Among 62,370 Women

Author

Wang, Xiaoliang, Kapoor, Pooja Middha, Auer, Paul L, Dennis, Joe, Dunning, Alison M, Wang, Qin, Lush, Michael, Michailidou, Kyriaki, Bolla, Manjeet K, Aronson, Kristan J, Murphy, Rachel A, Brooks-Wilson, Angela, Lee, Derrick G, Cordina-Duverger, Emilie, Guénel, Pascal, Truong, Thérèse, Mulot, Claire, Teras, Lauren R, Patel, Alpa V, Dossus, Laure, Kaaks, Rudolf, Hoppe, Reiner, Lo, Wing-Yee, Brüning, Thomas, Hamann, Ute, Czene, Kamila, Gabrielson, Marike, Hall, Per, Eriksson, Mikael, Jung, Audrey, Becher, Heiko, Couch, Fergus J, Larson, Nicole L, Olson, Janet E, Ruddy, Kathryn J, Giles, Graham G, MacInnis, Robert J, Southey, Melissa C, Marchand, Loic Le, Wilkens, Lynne R, Haiman, Christopher A, Olsson, Håkan, Augustinsson, Annelie, Krüger, Ute, Wagner, Philippe, Scott, Christopher, Winham, Stacey J, Vachon, Celine M, Perou, Charles M, Olshan, Andrew F, Troester, Melissa A, Hunter, David J, Eliassen, A Heather, Tamimi, Rulla M, Brantley, Kristen, Andrulis, Irene L, Figueroa, Jonine, Chanock, Stephen J, Ahearn, Thomas U, García-Closas, Montserrat, Evans, Gareth D, Newman, William G, Veen, Elke M van, Howell, Anthony, Wolk, Alicja, Håkansson, Niclas, Anton-Culver, Hoda, Ziogas, Argyrios, Jones, Michael E, Orr, Nick, Schoemaker, Minouk J, Swerdlow, Anthony J, Kitahara, Cari M, Linet, Martha, Prentice, Ross L, Easton, Douglas F, Milne, Roger L, Kraft, Peter, Chang-Claude, Jenny, and Lindström, Sara

Subjects
Cancer, Prevention, Breast Cancer, Genetics, Human Genome, Aging, Estrogen, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being
Abstract

Abstract Background: Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. Methods: We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values

Published
2021

11. Brief Report: Weight Gain Following ART Initiation in ART-Naïve People Living With HIV in the Current Treatment Era.

Author

Ruderman, Stephanie A, Crane, Heidi M, Nance, Robin M, Whitney, Bridget M, Harding, Barbara N, Mayer, Kenneth H, Moore, Richard D, Eron, Joseph J, Geng, Elvin, Mathews, William C, Rodriguez, B, Willig, Amanda L, Burkholder, Greer A, Lindström, Sara, Wood, Brian R, Collier, Ann C, Vannappagari, Vani, Henegar, Cassidy, Van Wyk, Jean, Curtis, Lloyd, Saag, Michael S, Kitahata, Mari M, and Delaney, Joseph AC

Subjects
Clinical Research, HIV/AIDS, Clinical Trials and Supportive Activities, Prevention, Infectious Diseases, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, Good Health and Well Being, Adult, Alanine, Alkynes, Anti-HIV Agents, Anti-Retroviral Agents, Benzoxazines, Cyclopropanes, Dideoxynucleosides, Female, HIV Infections, HIV Integrase Inhibitors, Heterocyclic Compounds, 3-Ring, Humans, Male, Middle Aged, Oxazines, Piperazines, Pyridones, Tenofovir, Weight Gain, HIV, weight, antiretroviral therapy, integrase strand transfer inhibitors, dolutegravir, bictegravir, Clinical Sciences, Public Health and Health Services, Virology
Abstract

ObjectivesEvaluate differences in weight change by regimen among people living with HIV (PLWH) initiating antiretroviral therapy (ART) in the current era.MethodsBetween 2012 and 2019, 3232 ART-naïve PLWH initiated ≥3-drug ART regimens in 8 Centers for AIDS Research Network of Integrated Clinical Systems sites. We estimated weight change by regimen for 11 regimens in the immediate (first 6 months) and extended (all follow-up on initial regimen) periods using linear mixed models adjusted for time on regimen, interaction between time and regimen, age, sex, race/ethnicity, hepatitis B/C coinfection, nadir CD4, smoking, diabetes, antipsychotic medication, and site. We included more recently approved regimens [eg, with tenofovir alafenamide fumarate (TAF)] only in the immediate period analyses to ensure comparable follow-up time.ResultsMean follow-up was 1.9 years on initial ART regimen. In comparison to efavirenz/tenofovir disoproxil fumarate (TDF)/emtricitabine (FTC), initiating bictegravir/TAF/FTC {3.9 kg [95% confidence interval (CI): 2.2 to 5.5]} and dolutegravir/TAF/FTC [4.4 kg (95% CI: 2.1 to 6.6)] were associated with the greatest weight gain in the immediate period, followed by darunavir/TDF/FTC [3.7 kg (95% CI: 2.1 to 5.2)] and dolutegravir/TDF/FTC [2.6 kg (95% CI: 1.3 to 3.9)]. In the extended period, compared with efavirenz/TDF/FTC, initiating darunavir/TDF/FTC was associated with a 1.0 kg (95% CI: 0.5 to 1.5) per 6-months greater weight gain, whereas dolutegravir/abacavir/FTC was associated with a 0.6-kg (95% CI: 0.3 to 0.9) and dolutegravir/TDF/FTC was associated with a 0.6-kg (95% CI: 0.1 to 1.1) per 6-months greater gain. Weight gain on dolutegravir/abacavir/FTC and darunavir/TDF/FTC was significantly greater than that for several integrase inhibitor-based regimens.ConclusionsThere is heterogeneity between regimens in weight gain following ART initiation among previously ART-naïve PLWH; we observed greater gain among PLWH taking newer integrase strand transfer inhibitors (DTG, BIC) and DRV-based regimens.

Published
2021

12. Combined Associations of a Polygenic Risk Score and Classical Risk Factors With Breast Cancer Risk.

Author

Kapoor, Pooja Middha, Mavaddat, Nasim, Choudhury, Parichoy Pal, Wilcox, Amber N, Lindström, Sara, Behrens, Sabine, Michailidou, Kyriaki, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Jung, Audrey, Abu-Ful, Zomoroda, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bernstein, Leslie, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chatterjee, Nilanjan, Chenevix-Trench, Georgia, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dai, James Y, Earp, H Shelton, Ekici, Arif B, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gao, Chi, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hatse, Sigrid, Heyworth, Jane, Holleczek, Bernd, Hoover, Robert N, Hopper, John L, Howell, Anthony, Hunter, David J, ABCTB Investigators, kConFab/AOCS Investigators, John, Esther M, Jones, Michael E, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, MacInnis, Robert J, Martinez, Maria Elena, Maurer, Tabea, McLean, Catriona, Neuhausen, Susan L, Newman, William G, Norman, Aaron, O'Brien, Katie M, Olshan, Andrew F, Olson, Janet E, Olsson, Håkan, and Orr, Nick

Subjects
ABCTB Investigators, kConFab/AOCS Investigators, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.

Published
2021

13. Association Between Chronic Hepatitis C Virus Infection and Myocardial Infarction Among People Living With HIV in the United States

Author

Williams-Nguyen, Jessica, Hawes, Stephen E, Nance, Robin M, Lindström, Sara, Heckbert, Susan R, Kim, H Nina, Mathews, W Chris, Cachay, Edward R, Budoff, Matt, Hurt, Christopher B, Hunt, Peter W, Geng, Elvin, Moore, Richard D, Mugavero, Michael J, Peter, Inga, Kitahata, Mari M, Saag, Michael S, Crane, Heidi M, and Delaney, Joseph A

Subjects
Epidemiology, Health Sciences, Heart Disease - Coronary Heart Disease, Hepatitis, Emerging Infectious Diseases, Digestive Diseases, Infectious Diseases, Sexually Transmitted Infections, Hepatitis - C, Liver Disease, Chronic Liver Disease and Cirrhosis, Cardiovascular, HIV/AIDS, Heart Disease, Infection, Good Health and Well Being, Adult, Comorbidity, Female, HIV Infections, Hepatitis C, Chronic, Humans, Male, Middle Aged, Myocardial Infarction, Risk Factors, Socioeconomic Factors, Substance Abuse, Intravenous, United States, Viral Load, chronic hepatitis C infection, hepatitis C virus, HIV, HIV coinfection, myocardial infarction, people living with HIV, type 2 myocardial infarction, Mathematical Sciences, Medical and Health Sciences
Abstract

Hepatitis C virus (HCV) infection is common among people living with human immunodeficiency virus (PLWH). Extrahepatic manifestations of HCV, including myocardial infarction (MI), are a topic of active research. MI is classified into types, predominantly atheroembolic type 1 MI (T1MI) and supply-demand mismatch type 2 MI (T2MI). We examined the association between HCV and MI among patients in the Centers for AIDS Research (CFAR) Network of Integrated Clinical Systems, a US multicenter clinical cohort of PLWH. MIs were centrally adjudicated and categorized by type using the Third Universal Definition of Myocardial Infarction. We estimated the association between chronic HCV (RNA+) and time to MI while adjusting for demographic characteristics, cardiovascular risk factors, clinical characteristics, and history of injecting drug use. Among 23,407 PLWH aged ≥18 years, there were 336 T1MIs and 330 T2MIs during a median of 4.7 years of follow-up between 1998 and 2016. HCV was associated with a 46% greater risk of T2MI (adjusted hazard ratio (aHR) = 1.46, 95% confidence interval (CI): 1.09, 1.97) but not T1MI (aHR = 0.87, 95% CI: 0.58, 1.29). In an exploratory cause-specific analysis of T2MI, HCV was associated with a 2-fold greater risk of T2MI attributed to sepsis (aHR = 2.01, 95% CI: 1.25, 3.24). Extrahepatic manifestations of HCV in this high-risk population are an important area for continued research.

Published
2020

14. Association of Infection with Chronic Hepatitis C Virus and Myocardial Infarction in People Living with HIV in the United States

Author

Williams-Nguyen, Jessica, Hawes, Stephen E, Nance, Robin M, Lindström, Sara, Heckbert, Susan R, Kim, H Nina, Mathews, W Chris, Cachay, Edward R, Budoff, Matt, Hurt, Christopher B, Hunt, Peter W, Geng, Elvin, Moore, Richard D, Mugavero, Michael J, Peter, Inga, Kitahata, Mari M, Saag, Michael S, Crane, Heidi M, and Delaney, Joseph A

Subjects
HIV/AIDS, Digestive Diseases, Hepatitis, Cardiovascular, Heart Disease, Emerging Infectious Diseases, Heart Disease - Coronary Heart Disease, Chronic Liver Disease and Cirrhosis, Hematology, Liver Disease, Hepatitis - C, Infectious Diseases, Infection, Good Health and Well Being, Adult, Comorbidity, Female, HIV Infections, Hepatitis C, Chronic, Humans, Male, Middle Aged, Myocardial Infarction, Risk Factors, Socioeconomic Factors, Substance Abuse, Intravenous, United States, Viral Load, chronic hepatitis C infection, hepatitis C virus, HIV, HIV coinfection, myocardial infarction, people living with HIV, type 2 myocardial infarction, Mathematical Sciences, Medical and Health Sciences, Epidemiology
Abstract

Hepatitis C virus (HCV) infection is common among people living with human immunodeficiency virus (PLWH). Extrahepatic manifestations of HCV, including myocardial infarction (MI), are a topic of active research. MI is classified into types, predominantly atheroembolic type 1 MI (T1MI) and supply-demand mismatch type 2 MI (T2MI). We examined the association between HCV and MI among patients in the Centers for AIDS Research (CFAR) Network of Integrated Clinical Systems, a US multicenter clinical cohort of PLWH. MIs were centrally adjudicated and categorized by type using the Third Universal Definition of Myocardial Infarction. We estimated the association between chronic HCV (RNA+) and time to MI while adjusting for demographic characteristics, cardiovascular risk factors, clinical characteristics, and history of injecting drug use. Among 23,407 PLWH aged ≥18 years, there were 336 T1MIs and 330 T2MIs during a median of 4.7 years of follow-up between 1998 and 2016. HCV was associated with a 46% greater risk of T2MI (adjusted hazard ratio (aHR) = 1.46, 95% confidence interval (CI): 1.09, 1.97) but not T1MI (aHR = 0.87, 95% CI: 0.58, 1.29). In an exploratory cause-specific analysis of T2MI, HCV was associated with a 2-fold greater risk of T2MI attributed to sepsis (aHR = 2.01, 95% CI: 1.25, 3.24). Extrahepatic manifestations of HCV in this high-risk population are an important area for continued research.

Published
2020

15. Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the Breast Cancer Association Consortium

Author

Kapoor, Pooja Middha, Lindström, Sara, Behrens, Sabine, Wang, Xiaoliang, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Dunning, Alison M, Pharoah, Paul DP, Schmidt, Marjanka K, Kraft, Peter, García-Closas, Montserrat, Easton, Douglas F, Milne, Roger L, Chang-Claude, Jenny, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Freeman, Laura E Beane, Beckmann, Matthias W, Benitez, Javier, Bernstein, Leslie, Berrandou, Takiy, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brock, Ian W, Broeks, Annegien, Brooks-Wilson, Angela, Butterbach, Katja, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Cheng, Ting-Yuan David, Clarke, Christine L, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dai, James Y, Dite, Gillian S, Earp, H Shelton, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, González-Neira, Anna, Grundy, Anne, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan E, Harkness, Elaine F, Harstad, Tricia, He, Wei, Heyworth, Jane, Hoover, Robert N, Hopper, John L, Humphreys, Keith, Hunter, David J, Marrón, Pablo Isidro, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Krüger, Ute, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, Lo, Wing-Yee, and Makalic, Enes

Subjects
Genetics, Estrogen, Clinical Research, Cancer, Breast Cancer, Prevention, 2.1 Biological and endogenous factors, Aetiology, Alleles, Breast Neoplasms, Case-Control Studies, Europe, Factor XIII, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, Receptors, Estrogen, Risk Factors, White People, Breast Cancer Association Consortium, Europeans, Gene-environment interaction, breast cancer, epidemiology, risk factors, single nucleotide polymorphism, Statistics, Public Health and Health Services, Epidemiology
Abstract

BackgroundPrevious gene-environment interaction studies of breast cancer risk have provided sparse evidence of interactions. Using the largest available dataset to date, we performed a comprehensive assessment of potential effect modification of 205 common susceptibility variants by 13 established breast cancer risk factors, including replication of previously reported interactions.MethodsAnalyses were performed using 28 176 cases and 32 209 controls genotyped with iCOGS array and 44 109 cases and 48 145 controls genotyped using OncoArray from the Breast Cancer Association Consortium (BCAC). Gene-environment interactions were assessed using unconditional logistic regression and likelihood ratio tests for breast cancer risk overall and by estrogen-receptor (ER) status. Bayesian false discovery probability was used to assess the noteworthiness of the meta-analysed array-specific interactions.ResultsNoteworthy evidence of interaction at ≤1% prior probability was observed for three single nucleotide polymorphism (SNP)-risk factor pairs. SNP rs4442975 was associated with a greater reduction of risk of ER-positive breast cancer [odds ratio (OR)int = 0.85 (0.78-0.93), Pint = 2.8 x 10-4] and overall breast cancer [ORint = 0.85 (0.78-0.92), Pint = 7.4 x 10-5) in current users of estrogen-progesterone therapy compared with non-users. This finding was supported by replication using OncoArray data of the previously reported interaction between rs13387042 (r2 = 0.93 with rs4442975) and current estrogen-progesterone therapy for overall disease (Pint = 0.004). The two other interactions suggested stronger associations between SNP rs6596100 and ER-negative breast cancer with increasing parity and younger age at first birth.ConclusionsOverall, our study does not suggest strong effect modification of common breast cancer susceptibility variants by established risk factors.

Published
2020

18. Genetic associations of breast and prostate cancer are enriched for regulatory elements identified in disease-related tissues

Author

Chen, Hongjie, Kichaev, Gleb, Bien, Stephanie A, MacDonald, James W, Wang, Lu, Bammler, Theo K, Auer, Paul, Pasaniuc, Bogdan, and Lindström, Sara

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Human Genome, Aging, Prostate Cancer, Prevention, Urologic Diseases, Cancer, Breast Cancer, Aetiology, 2.1 Biological and endogenous factors, Biomarkers, Tumor, Breast Neoplasms, Cell Line, Tumor, Computational Biology, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Male, Molecular Sequence Annotation, Organ Specificity, Prostatic Neoplasms, Regulatory Sequences, Nucleic Acid, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine, Genetics & Heredity, Reproductive medicine
Abstract

Although genome-wide association studies (GWAS) have identified hundreds of risk loci for breast and prostate cancer, only a few studies have characterized the GWAS association signals across functional genomic annotations with a particular focus on single nucleotide polymorphisms (SNPs) located in DNA regulatory elements. In this study, we investigated the enrichment pattern of GWAS signals for breast and prostate cancer in genomic functional regions located in normal tissue and cancer cell lines. We quantified the overall enrichment of SNPs with breast and prostate cancer association p values

Published
2019

19. Two truncating variants in FANCC and breast cancer risk.

Author

Dörk, Thilo, Peterlongo, Paolo, Mannermaa, Arto, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Freeman, Laura E Beane, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Behrens, Sabine, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Canzian, Federico, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Christiansen, Hans, Clarke, Christine L, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gao, Chi, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, Goldgar, David E, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hartman, Mikael, Hauke, Jan, Hein, Alexander, Hillemanns, Peter, Hogervorst, Frans BL, Hooning, Maartje J, Hopper, John L, Howell, Tony, Huo, Dezheng, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Kapoor, Pooja Middha, Khusnutdinova, Elza, Kim, Sung-Won, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kwong, Ava, Lambrechts, Diether, Marchand, Loic Le, Li, Jingmei, Lindström, Sara, Linet, Martha, Lo, Wing-Yee, Long, Jirong, Lophatananon, Artitaya, Lubiński, Jan, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Elena, Matsuo, Keitaro, Mavroudis, Dimitris, and Meindl, Alfons

Subjects
ABCTB Investigators, NBCS Collaborators, Humans, Breast Neoplasms, Fanconi Anemia, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Case-Control Studies, Sequence Deletion, Female, Fanconi Anemia Complementation Group C Protein, Genetic Variation, Clinical Research, Breast Cancer, Genetics, Cancer, 2.1 Biological and endogenous factors, Biochemistry and Cell Biology, Other Physical Sciences
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

20. Association between genetically predicted polycystic ovary syndrome and ovarian cancer: a Mendelian randomization study

Author

Harris, Holly R, Cushing-Haugen, Kara L, Webb, Penelope M, Nagle, Christina M, Jordan, Susan J, Group, Australian Ovarian Cancer Study, Risch, Harvey A, Rossing, Mary Anne, Doherty, Jennifer A, Goodman, Marc T, Modugno, Francesmary, Ness, Roberta B, Moysich, Kirsten B, Kjær, Susanne K, Høgdall, Estrid, Jensen, Allan, Schildkraut, Joellen M, Berchuck, Andrew, Cramer, Daniel W, Bandera, Elisa V, Rodriguez, Lorna, Wentzensen, Nicolas, Kotsopoulos, Joanne, Narod, Steven A, McLaughlin, John R, Anton-Culver, Hoda, Ziogas, Argyrios, Pearce, Celeste L, Wu, Anna H, Lindström, Sara, and Terry, Kathryn L

Subjects
Epidemiology, Health Sciences, Ovarian Cancer, Prevention, Genetics, Clinical Research, Infertility, Cancer, Contraception/Reproduction, Rare Diseases, Reproductive health and childbirth, Good Health and Well Being, Adenocarcinoma, Clear Cell, Adenocarcinoma, Mucinous, Carcinoma, Endometrioid, Female, Humans, Mendelian Randomization Analysis, Neoplasms, Cystic, Mucinous, and Serous, Ovarian Neoplasms, Polycystic Ovary Syndrome, Polycystic ovary syndrome, ovarian cancer, histotype, Mendelian randomization, Australian Ovarian Cancer Study Group, Statistics, Public Health and Health Services, Public health
Abstract

BackgroundPolycystic ovary syndrome (PCOS) is a complex endocrine disorder with an estimated prevalence of 4-21% in reproductive aged women. Recently, the Ovarian Cancer Association Consortium (OCAC) reported a decreased risk of invasive ovarian cancer among women with self-reported PCOS. However, given the limitations of self-reported PCOS, the validity of these observed associations remains uncertain. Therefore, we sought to use Mendelian randomization with genetic markers as a proxy for PCOS, to examine the association between PCOS and ovarian cancer.MethodsUtilizing 14 single nucleotide polymorphisms (SNPs) previously associated with PCOS we assessed the association between genetically predicted PCOS and ovarian cancer risk, overall and by histotype, using summary statistics from a previously conducted genome-wide association study (GWAS) of ovarian cancer among European ancestry women within the OCAC (22 406 with invasive disease, 3103 with borderline disease and 40 941 controls).ResultsAn inverse association was observed between genetically predicted PCOS and invasive ovarian cancer risk: odds ratio (OR)=0.92 [95% confidence interval (CI)=0.85-0.99; P = 0.03]. When results were examined by histotype, the strongest inverse association was observed between genetically predicted PCOS and endometrioid tumors (OR = 0.77; 95% CI = 0.65-0.92; P = 0.003). Adjustment for individual-level body mass index, oral contraceptive use and parity did not materially change the associations.ConclusionOur study provides evidence for a relationship between PCOS and reduced ovarian cancer risk, overall and among specific histotypes of invasive ovarian cancer. These results lend support to our previous observational study results. Future studies are needed to understand mechanisms underlying this association.

Published
2019

21. A large‐scale exome array analysis of venous thromboembolism

Author

Lindström, Sara, Brody, Jennifer A, Turman, Constance, Germain, Marine, Bartz, Traci M, Smith, Erin N, Chen, Ming‐Huei, Puurunen, Marja, Chasman, Daniel, Hassler, Jeffrey, Pankratz, Nathan, Basu, Saonli, Guan, Weihua, Gyorgy, Beata, Ibrahim, Manal, Empana, Jean‐Philippe, Olaso, Robert, Jackson, Rebecca, Brækkan, Sigrid K, McKnight, Barbara, Deleuze, Jean‐Francois, O’Donnell, Cristopher J, Jouven, Xavier, Frazer, Kelly A, Psaty, Bruce M, Wiggins, Kerri L, Taylor, Kent, Reiner, Alexander P, Heckbert, Susan R, Kooperberg, Charles, Ridker, Paul, Hansen, John‐Bjarne, Tang, Weihong, Johnson, Andrew D, Morange, Pierre‐Emmanuel, Trégouët, David A, Kraft, Peter, Smith, Nicholas L, Kabrhel, Christopher, and Consortium, on behalf of the INVENT

Subjects
Prevention, Clinical Research, Biotechnology, Human Genome, Genetics, 2.1 Biological and endogenous factors, Aetiology, Black or African American, Alleles, Case-Control Studies, Exome, Female, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, High-Throughput Nucleotide Sequencing, Humans, Male, Microarray Analysis, Odds Ratio, Polymorphism, Single Nucleotide, Sample Size, Venous Thromboembolism, exome, genetic association, venous thromboembolism, INVENT Consortium, Public Health and Health Services, Epidemiology
Abstract

Although recent Genome-Wide Association Studies have identified novel associations for common variants, there has been no comprehensive exome-wide search for low-frequency variants that affect the risk of venous thromboembolism (VTE). We conducted a meta-analysis of 11 studies comprising 8,332 cases and 16,087 controls of European ancestry and 382 cases and 1,476 controls of African American ancestry genotyped with the Illumina HumanExome BeadChip. We used the seqMeta package in R to conduct single variant and gene-based rare variant tests. In the single variant analysis, we limited our analysis to the 64,794 variants with at least 40 minor alleles across studies (minor allele frequency [MAF] ~0.08%). We confirmed associations with previously identified VTE loci, including ABO, F5, F11, and FGA. After adjusting for multiple testing, we observed no novel significant findings in single variant or gene-based analysis. Given our sample size, we had greater than 80% power to detect minimum odds ratios greater than 1.5 and 1.8 for a single variant with MAF of 0.01 and 0.005, respectively. Larger studies and sequence data may be needed to identify novel low-frequency and rare variants associated with VTE risk.

Published
2019

23. Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci

Author

Chen, Hongjie, Fan, Shaoqi, Stone, Jennifer, Thompson, Deborah J., Douglas, Julie, Li, Shuai, Scott, Christopher, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Li, Christopher, Peters, Ulrike, Hopper, John L., Southey, Melissa C., Nguyen-Dumont, Tu, Nguyen, Tuong L., Fasching, Peter A., Behrens, Annika, Cadby, Gemma, Murphy, Rachel A., Aronson, Kristan, Howell, Anthony, Astley, Susan, Couch, Fergus, Olson, Janet, Milne, Roger L., Giles, Graham G., Haiman, Christopher A., Maskarinec, Gertraud, Winham, Stacey, John, Esther M., Kurian, Allison, Eliassen, Heather, Andrulis, Irene, Evans, D. Gareth, Newman, William G., Hall, Per, Czene, Kamila, Swerdlow, Anthony, Jones, Michael, Pollan, Marina, Fernandez-Navarro, Pablo, McConnell, Daniel S., Kristensen, Vessela N., Rothstein, Joseph H., Wang, Pei, Habel, Laurel A., Sieh, Weiva, Dunning, Alison M., Pharoah, Paul D. P., Easton, Douglas F., Gierach, Gretchen L., Tamimi, Rulla M., Vachon, Celine M., and Lindström, Sara

Published
2022
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24. Nonadditive Effects of Common Genetic Variants Have a Negligent Contribution to Cancer Heritability.

Author

Suger, Austin Hammermeister, Harrison, Tabitha A., Henning, Barbara, Turman, Constance, Kraft, Peter, and Lindström, Sara

Abstract

Background: Contribution of dominance effects to cancer heritability is unknown. We leveraged existing genome-wide association data for seven cancers to estimate the contribution of dominance effects to the heritability of individual cancer types. Methods: We estimated the proportion of phenotypic variation caused by dominance genetic effects using genome-wide association data for seven cancers (breast, colorectal, lung, melanoma, nonmelanoma skin, ovarian, and prostate) in a total of 166,772 cases and 284,824 controls. Results: We observed no evidence of a meaningful contribution of dominance effects to cancer heritability. By contrast, additive effects ranged between 0.11 and 0.34. Conclusions: In line with studies of other human traits, the dominance effects of common genetic variants play a minimal role in cancer etiology. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer

Author

Milne, Roger L, Kuchenbaecker, Karoline B, Michailidou, Kyriaki, Beesley, Jonathan, Kar, Siddhartha, Lindström, Sara, Hui, Shirley, Lemaçon, Audrey, Soucy, Penny, Dennis, Joe, Jiang, Xia, Rostamianfar, Asha, Finucane, Hilary, Bolla, Manjeet K, McGuffog, Lesley, Wang, Qin, Aalfs, Cora M, Adams, Marcia, Adlard, Julian, Agata, Simona, Ahmed, Shahana, Ahsan, Habibul, Aittomäki, Kristiina, Al-Ejeh, Fares, Allen, Jamie, Ambrosone, Christine B, Amos, Christopher I, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Auber, Bernd, Auer, Paul L, Ausems, Margreet GEM, Azzollini, Jacopo, Bacot, François, Balmaña, Judith, Barile, Monica, Barjhoux, Laure, Barkardottir, Rosa B, Barrdahl, Myrto, Barnes, Daniel, Barrowdale, Daniel, Baynes, Caroline, Beckmann, Matthias W, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Bignon, Yves-Jean, Blazer, Kathleen R, Blok, Marinus J, Blomqvist, Carl, Blot, William, Bobolis, Kristie, Boeckx, Bram, Bogdanova, Natalia V, Bojesen, Anders, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Bozsik, Aniko, Bradbury, Angela R, Brand, Judith S, Brauch, Hiltrud, Brenner, Hermann, Bressac-de Paillerets, Brigitte, Brewer, Carole, Brinton, Louise, Broberg, Per, Brooks-Wilson, Angela, Brunet, Joan, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Byun, Jinyoung, Cai, Qiuyin, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Canzian, Federico, Caron, Olivier, Carracedo, Angel, Carter, Brian D, Castelao, J Esteban, Castera, Laurent, Caux-Moncoutier, Virginie, Chan, Salina B, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Xiaoqing, Cheng, Ting-Yuan David, Chiquette, Jocelyne, Christiansen, Hans, Claes, Kathleen BM, Clarke, Christine L, Conner, Thomas, Conroy, Don M, and Cook, Jackie

Subjects
Biological Sciences, Genetics, Cancer, Human Genome, Prevention, Breast Cancer, Aging, Estrogen, 2.1 Biological and endogenous factors, Aetiology, BRCA1 Protein, Breast Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Heterozygote, Humans, Mutation, Polymorphism, Single Nucleotide, Receptors, Estrogen, Risk Factors, White People, ABCTB Investigators, EMBRACE, GEMO Study Collaborators, HEBON, kConFab/AOCS Investigators, NBSC Collaborators, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10-8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1 mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.

Published
2017

29. Association analysis identifies 65 new breast cancer risk loci

Author

Michailidou, Kyriaki, Lindström, Sara, Dennis, Joe, Beesley, Jonathan, Hui, Shirley, Kar, Siddhartha, Lemaçon, Audrey, Soucy, Penny, Glubb, Dylan, Rostamianfar, Asha, Bolla, Manjeet K, Wang, Qin, Tyrer, Jonathan, Dicks, Ed, Lee, Andrew, Wang, Zhaoming, Allen, Jamie, Keeman, Renske, Eilber, Ursula, French, Juliet D, Qing Chen, Xiao, Fachal, Laura, McCue, Karen, McCart Reed, Amy E, Ghoussaini, Maya, Carroll, Jason S, Jiang, Xia, Finucane, Hilary, Adams, Marcia, Adank, Muriel A, Ahsan, Habibul, Aittomäki, Kristiina, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Arun, Banu, Auer, Paul L, Bacot, François, Barrdahl, Myrto, Baynes, Caroline, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brand, Judith S, Brauch, Hiltrud, Brennan, Paul, Brenner, Hermann, Brinton, Louise, Broberg, Per, Brock, Ian W, Broeks, Annegien, Brooks-Wilson, Angela, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Butterbach, Katja, Cai, Qiuyin, Cai, Hui, Caldés, Trinidad, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chan, Tsun L, David Cheng, Ting-Yuan, Seng Chia, Kee, Choi, Ji-Yeob, Christiansen, Hans, Clarke, Christine L, Collée, Margriet, Conroy, Don M, Cordina-Duverger, Emilie, Cornelissen, Sten, Cox, David G, Cox, Angela, Cross, Simon S, Cunningham, Julie M, Czene, Kamila, Daly, Mary B, Devilee, Peter, Doheny, Kimberly F, Dörk, Thilo, dos-Santos-Silva, Isabel, Dumont, Martine, Durcan, Lorraine, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Elvira, Mingajeva, and Engel, Christoph

Subjects
Cancer, Asia, Asian People, Binding Sites, Breast Neoplasms, Computer Simulation, Europe, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Regulatory Sequences, Nucleic Acid, Risk Assessment, Transcription Factors, White People, NBCS Collaborators, ABCTB Investigators, ConFab/AOCS Investigators, General Science & Technology
Abstract

Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. Here we report the results of a genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry. We identified 65 new loci that are associated with overall breast cancer risk at P

Published
2017

30. Age at natural menopause genetic risk score in relation to age at natural menopause and primary open-angle glaucoma in a US-based sample

Author

Pasquale, Louis R, Aschard, Hugues, Kang, Jae H, Bailey, Jessica N Cooke, Lindström, Sara, Chasman, Daniel I, Christen, William G, Allingham, R Rand, Ashley-Koch, Allison, Lee, Richard K, Moroi, Sayoko E, Brilliant, Murray H, Wollstein, Gadi, Schuman, Joel S, Fingert, John, Budenz, Donald L, Realini, Tony, Gaasterland, Terry, Gaasterland, Douglas, Scott, William K, Singh, Kuldev, Sit, Arthur J, Igo, Robert P, Song, Yeunjoo E, Hark, Lisa, Ritch, Robert, Rhee, Douglas J, Gulati, Vikas, Havens, Shane, Vollrath, Douglas, Zack, Donald J, Medeiros, Felipe, Weinreb, Robert N, Pericak-Vance, Margaret A, Liu, Yutao, Kraft, Peter, Richards, Julia E, Rosner, Bernard A, Hauser, Michael A, Haines, Jonathan L, and Wiggs, Janey L

Subjects
Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Ophthalmology and Optometry, Human Genome, Neurosciences, Neurodegenerative, Genetics, Eye Disease and Disorders of Vision, Aging, Good Health and Well Being, Age Factors, Female, Genetic Variation, Genotype, Glaucoma, Open-Angle, Humans, Menopause, Middle Aged, Risk Assessment, Risk Factors, United States, Age at natural menopause, Genetic risk score, Primary open-angle glaucoma, Medical and Health Sciences, Obstetrics & Reproductive Medicine, Biomedical and clinical sciences, Health sciences, Psychology
Abstract

ObjectiveSeveral attributes of female reproductive history, including age at natural menopause (ANM), have been related to primary open-angle glaucoma (POAG). We assembled 18 previously reported common genetic variants that predict ANM to determine their association with ANM or POAG.MethodsUsing data from the Nurses' Health Study (7,143 women), we validated the ANM weighted genetic risk score in relation to self-reported ANM. Subsequently, to assess the relation with POAG, we used data from 2,160 female POAG cases and 29,110 controls in the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database (NEIGHBORHOOD), which consists of 8 datasets with imputed genotypes to 5.6+ million markers. Associations with POAG were assessed in each dataset, and site-specific results were meta-analyzed using the inverse weighted variance method.ResultsThe genetic risk score was associated with self-reported ANM (P = 2.2 × 10) and predicted 4.8% of the variance in ANM. The ANM genetic risk score was not associated with POAG (Odds Ratio (OR) = 1.002; 95% Confidence Interval (CI): 0.998, 1.007; P = 0.28). No single genetic variant in the panel achieved nominal association with POAG (P ≥0.20). Compared to the middle 80 percent, there was also no association with the lowest 10 percentile or highest 90 percentile of genetic risk score with POAG (OR = 0.75; 95% CI: 0.47, 1.21; P = 0.23 and OR = 1.10; 95% CI: 0.72, 1.69; P = 0.65, respectively).ConclusionsA genetic risk score predicting 4.8% of ANM variation was not related to POAG; thus, genetic determinants of ANM are unlikely to explain the previously reported association between the two phenotypes.

Published
2017

31. Improved methods for multi-trait fine mapping of pleiotropic risk loci

Author

Kichaev, Gleb, Roytman, Megan, Johnson, Ruth, Eskin, Eleazar, Lindström, Sara, Kraft, Peter, and Pasaniuc, Bogdan

Subjects
Genetics, Prevention, Brain Disorders, Human Genome, Bioengineering, Aetiology, 2.1 Biological and endogenous factors, Generic health relevance, Chromosome Mapping, Genetic Diseases, Inborn, Genetic Loci, Genetic Pleiotropy, Genome-Wide Association Study, Genomics, Humans, Linkage Disequilibrium, Lipid Metabolism, Models, Genetic, Polymorphism, Single Nucleotide, Software, Mathematical Sciences, Biological Sciences, Information and Computing Sciences, Bioinformatics
Abstract

MotivationGenome-wide association studies (GWAS) have identified thousands of regions in the genome that contain genetic variants that increase risk for complex traits and diseases. However, the variants uncovered in GWAS are typically not biologically causal, but rather, correlated to the true causal variant through linkage disequilibrium (LD). To discern the true causal variant(s), a variety of statistical fine-mapping methods have been proposed to prioritize variants for functional validation.ResultsIn this work we introduce a new approach, fastPAINTOR, that leverages evidence across correlated traits, as well as functional annotation data, to improve fine-mapping accuracy at pleiotropic risk loci. To improve computational efficiency, we describe an new importance sampling scheme to perform model inference. First, we demonstrate in simulations that by leveraging functional annotation data, fastPAINTOR increases fine-mapping resolution relative to existing methods. Next, we show that jointly modeling pleiotropic risk regions improves fine-mapping resolution compared to standard single trait and pleiotropic fine mapping strategies. We report a reduction in the number of SNPs required for follow-up in order to capture 90% of the causal variants from 23 SNPs per locus using a single trait to 12 SNPs when fine-mapping two traits simultaneously. Finally, we analyze summary association data from a large-scale GWAS of lipids and show that these improvements are largely sustained in real data.Availability and implementationThe fastPAINTOR framework is implemented in the PAINTOR v3.0 package which is publicly available to the research community http://bogdan.bioinformatics.ucla.edu/software/paintor CONTACT: gkichaev@ucla.eduSupplementary information: Supplementary data are available at Bioinformatics online.

Published
2017

34. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Author

Vilhjálmsson, Bjarni J, Yang, Jian, Finucane, Hilary K, Gusev, Alexander, Lindström, Sara, Ripke, Stephan, Genovese, Giulio, Loh, Po-Ru, Bhatia, Gaurav, Do, Ron, Hayeck, Tristan, Won, Hong-Hee, Consortium, Schizophrenia Working Group of the Psychiatric Genomics, Neale, Benjamin M, Corvin, Aiden, Walters, James TR, Farh, Kai-How, Holmans, Peter A, Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A, Huang, Hailiang, Pers, Tune H, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A, Begemann, Martin, Belliveau, Richard A, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Chambert, Kimberly D, Chan, Raymond CK, Chen, Ronald YL, Chen, Eric YH, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J, Curtis, David, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, DeLisi, Lynn E, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Friedman, Joseph I, Fromer, Menachem, Georgieva, Lyudmila, Gershon, Elliot S, Giegling, Ina, Giusti-Rodrguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I, Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, and Grove, Jakob

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Schizophrenia, Mental Health, Brain Disorders, Serious Mental Illness, Genome-Wide Association Study, Genotype, Humans, Linkage Disequilibrium, Models, Theoretical, Multifactorial Inheritance, Multiple Sclerosis, Phenotype, Polymorphism, Single Nucleotide, Prognosis, Quantitative Trait Loci, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Polygenic risk scores have shown great promise in predicting complex disease risk and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves linkage disequilibrium (LD)-based marker pruning and applying a p value threshold to association statistics, but this discards information and can reduce predictive accuracy. We introduce LDpred, a method that infers the posterior mean effect size of each marker by using a prior on effect sizes and LD information from an external reference panel. Theory and simulations show that LDpred outperforms the approach of pruning followed by thresholding, particularly at large sample sizes. Accordingly, predicted R(2) increased from 20.1% to 25.3% in a large schizophrenia dataset and from 9.8% to 12.0% in a large multiple sclerosis dataset. A similar relative improvement in accuracy was observed for three additional large disease datasets and for non-European schizophrenia samples. The advantage of LDpred over existing methods will grow as sample sizes increase.

Published
2015

35. Two susceptibility loci identified for prostate cancer aggressiveness.

Author

Berndt, Sonja I, Wang, Zhaoming, Yeager, Meredith, Alavanja, Michael C, Albanes, Demetrius, Amundadottir, Laufey, Andriole, Gerald, Beane Freeman, Laura, Campa, Daniele, Cancel-Tassin, Geraldine, Canzian, Federico, Cornu, Jean-Nicolas, Cussenot, Olivier, Diver, W Ryan, Gapstur, Susan M, Grönberg, Henrik, Haiman, Christopher A, Henderson, Brian, Hutchinson, Amy, Hunter, David J, Key, Timothy J, Kolb, Suzanne, Koutros, Stella, Kraft, Peter, Le Marchand, Loic, Lindström, Sara, Machiela, Mitchell J, Ostrander, Elaine A, Riboli, Elio, Schumacher, Fred, Siddiq, Afshan, Stanford, Janet L, Stevens, Victoria L, Travis, Ruth C, Tsilidis, Konstantinos K, Virtamo, Jarmo, Weinstein, Stephanie, Wilkund, Fredrik, Xu, Jianfeng, Lilly Zheng, S, Yu, Kai, Wheeler, William, Zhang, Han, African Ancestry Prostate Cancer GWAS Consortium, Sampson, Joshua, Black, Amanda, Jacobs, Kevin, Hoover, Robert N, Tucker, Margaret, and Chanock, Stephen J

Subjects
African Ancestry Prostate Cancer GWAS Consortium, Humans, Prostatic Neoplasms, Neoplasm Invasiveness, Genetic Predisposition to Disease, Case-Control Studies, Male, Genetic Loci, Neoplasm Grading
Abstract

Most men diagnosed with prostate cancer will experience indolent disease; hence, discovering genetic variants that distinguish aggressive from nonaggressive prostate cancer is of critical clinical importance for disease prevention and treatment. In a multistage, case-only genome-wide association study of 12,518 prostate cancer cases, we identify two loci associated with Gleason score, a pathological measure of disease aggressiveness: rs35148638 at 5q14.3 (RASA1, P=6.49 × 10(-9)) and rs78943174 at 3q26.31 (NAALADL2, P=4.18 × 10(-8)). In a stratified case-control analysis, the SNP at 5q14.3 appears specific for aggressive prostate cancer (P=8.85 × 10(-5)) with no association for nonaggressive prostate cancer compared with controls (P=0.57). The proximity of these loci to genes involved in vascular disease suggests potential biological mechanisms worthy of further investigation.

Published
2015

36. Genomic and transcriptomic association studies identify 16 novel susceptibility loci for venous thromboembolism

Author

Lindström, Sara, Wang, Lu, Smith, Erin N., Gordon, William, van Hylckama Vlieg, Astrid, de Andrade, Mariza, Brody, Jennifer A., Pattee, Jack W., Haessler, Jeffrey, Brumpton, Ben M., Chasman, Daniel I., Suchon, Pierre, Chen, Ming-Huei, Turman, Constance, Germain, Marine, Wiggins, Kerri L., MacDonald, James, Braekkan, Sigrid K., Armasu, Sebastian M., Pankratz, Nathan, Jackson, Rebecca D., Nielsen, Jonas B., Giulianini, Franco, Puurunen, Marja K., Ibrahim, Manal, Heckbert, Susan R., Damrauer, Scott M., Natarajan, Pradeep, Klarin, Derek, de Vries, Paul S., Sabater-Lleal, Maria, Huffman, Jennifer E., Bammler, Theo K., Frazer, Kelly A., McCauley, Bryan M., Taylor, Kent, Pankow, James S., Reiner, Alexander P., Gabrielsen, Maiken E., Deleuze, Jean-François, O'Donnell, Chris J., Kim, Jihye, McKnight, Barbara, Kraft, Peter, Hansen, John-Bjarne, Rosendaal, Frits R., Heit, John A., Psaty, Bruce M., Tang, Weihong, Kooperberg, Charles, Hveem, Kristian, Ridker, Paul M., Morange, Pierre-Emmanuel, Johnson, Andrew D., Kabrhel, Christopher, Trégouët, David-Alexandre, and Smith, Nicholas L.

Published
2019
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38. Genome-wide association study of breast cancer in Latinas identifies novel protective variants on 6q25.

Author

Fejerman, Laura, Ahmadiyeh, Nasim, Hu, Donglei, Huntsman, Scott, Beckman, Kenneth B, Caswell, Jennifer L, Tsung, Karen, John, Esther M, Torres-Mejia, Gabriela, Carvajal-Carmona, Luis, Echeverry, María Magdalena, Tuazon, Anna Marie D, Ramirez, Carolina, COLUMBUS Consortium, Gignoux, Christopher R, Eng, Celeste, Gonzalez-Burchard, Esteban, Henderson, Brian, Le Marchand, Loic, Kooperberg, Charles, Hou, Lifang, Agalliu, Ilir, Kraft, Peter, Lindström, Sara, Perez-Stable, Eliseo J, Haiman, Christopher A, and Ziv, Elad

Subjects
COLUMBUS Consortium, Cell Line, Tumor, Humans, Breast Neoplasms, Neoplasm Invasiveness, Receptors, Estrogen, Mammography, Odds Ratio, Risk Factors, Case-Control Studies, Prospective Studies, Chromosome Mapping, Gene Expression Regulation, Neoplastic, Genotype, Polymorphism, Single Nucleotide, Alleles, Genome, Human, Adolescent, Adult, Aged, Middle Aged, Mexico, Female, Genetic Variation, Genome-Wide Association Study, Young Adult, Biomarkers, Tumor, Cancer, Clinical Research, Prevention, Human Genome, Genetics, Breast Cancer, 2.1 Biological and endogenous factors
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

40. A genome-wide association study to identify genetic susceptibility loci that modify ductal and lobular postmenopausal breast cancer risk associated with menopausal hormone therapy use: a two-stage design with replication

Author

Hein, Rebecca, Flesch-Janys, Dieter, Dahmen, Norbert, Beckmann, Lars, Lindström, Sara, Schoof, Nils, Czene, Kamila, Mittelstraß, Kirstin, Illig, Thomas, Seibold, Petra, Behrens, Sabine, Humphreys, Keith, Li, Jingmei, Liu, Jianjun, Olson, Janet E, Wang, Xianshu, Hankinson, Susan E, Truong, Thérèse, Menegaux, Florence, dos Santos Silva, Isabel, Johnson, Nichola, The GENICA Network, Chen, Shou-Tung, Yu, Jyh-Cherng, Ziogas, Argyrios, Kataja, Vesa, Kosma, Veli-Matti, Mannermaa, Arto, Anton-Culver, Hoda, Shen, Chen-Yang, Brauch, Hiltrud, Peto, Julian, Guénel, Pascal, Kraft, Peter, Couch, Fergus J, Easton, Douglas F, Hall, Per, and Chang-Claude, Jenny

Subjects
Cancer, Aging, Prevention, Breast Cancer, Genetics, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Carcinoma, Ductal, Breast, Carcinoma, Lobular, Case-Control Studies, Chromosomes, Human, Estrogen Replacement Therapy, Estrogens, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Postmenopause, Progestins, Risk Factors, Sequence Analysis, DNA, Postmenopausal breast cancer risk, Menopausal hormone therapy, Polymorphisms, Gene-environment interaction, Genome-wide association study, Case-only study, GENICA Network, Clinical Sciences, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Menopausal hormone therapy (MHT) is associated with an elevated risk of breast cancer in postmenopausal women. To identify genetic loci that modify breast cancer risk related to MHT use in postmenopausal women, we conducted a two-stage genome-wide association study (GWAS) with replication. In stage I, we performed a case-only GWAS in 731 invasive breast cancer cases from the German case-control study Mammary Carcinoma Risk Factor Investigation (MARIE). The 1,200 single nucleotide polymorphisms (SNPs) showing the lowest P values for interaction with current MHT use (within 6 months prior to breast cancer diagnosis), were carried forward to stage II, involving pooled case-control analyses including additional MARIE subjects (1,375 cases, 1,974 controls) as well as 795 cases and 764 controls of a Swedish case-control study. A joint P value was calculated for a combined analysis of stages I and II. Replication of the most significant interaction of the combined stage I and II was performed using 5,795 cases and 5,390 controls from nine studies of the Breast Cancer Association Consortium (BCAC). The combined stage I and II yielded five SNPs on chromosomes 2, 7, and 18 with joint P values

Published
2013

41. Genome-wide association study of germline variants and breast cancer-specific mortality

Author

Escala-Garcia, Maria, Guo, Qi, Dörk, Thilo, Canisius, Sander, Keeman, Renske, Dennis, Joe, Beesley, Jonathan, Lecarpentier, Julie, Bolla, Manjeet K., Wang, Qin, Abraham, Jean, Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L., Beckmann, Matthias W., Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Boeckx, Bram, Bojesen, Stig E., Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brentnall, Adam, Brinton, Louise, Broberg, Per, Brock, Ian W., Brucker, Sara Y., Burwinkel, Barbara, Caldas, Carlos, Caldés, Trinidad, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D., Castelao, Jose E., Chang-Claude, Jenny, Chanock, Stephen J., Chenevix-Trench, Georgia, Cheng, Ting-Yuan David, Chin, Suet-Feung, Clarke, Christine L., NBCS Collaborators, Cordina-Duverger, Emilie, Couch, Fergus J., Cox, David G., Cox, Angela, Cross, Simon S., Czene, Kamila, Daly, Mary B., Devilee, Peter, Dunn, Janet A., Dunning, Alison M., Durcan, Lorraine, Dwek, Miriam, Earl, Helena M., Ekici, Arif B., Eliassen, A. Heather, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Evans, D. Gareth, Figueroa, Jonine, Flesch-Janys, Dieter, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Galle, Eva, Gapstur, Susan M., García-Closas, Montserrat, García-Sáenz, José A., Gaudet, Mia M., George, Angela, Georgoulias, Vassilios, Giles, Graham G., Glendon, Gord, Goldgar, David E., González-Neira, Anna, Alnæs, Grethe I. Grenaker, Grip, Mervi, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan, Harkness, Elaine F., Harrington, Patricia A., Hart, Steven N., Hartikainen, Jaana M., Hein, Alexander, Hillemanns, Peter, Hiller, Louise, Holleczek, Bernd, Hollestelle, Antoinette, Hooning, Maartje J., Hoover, Robert N., Hopper, John L., Howell, Anthony, Huang, Guanmengqian, Humphreys, Keith, Hunter, David J., Janni, Wolfgang, John, Esther M., Jones, Michael E., Jukkola-Vuorinen, Arja, Jung, Audrey, Kaaks, Rudolf, Kabisch, Maria, Kaczmarek, Katarzyna, Kerin, Michael J., Khan, Sofia, Khusnutdinova, Elza, Kiiski, Johanna I., Kitahara, Cari M., Knight, Julia A., Ko, Yon-Dschun, Koppert, Linetta B., Kosma, Veli-Matti, Kraft, Peter, Kristensen, Vessela N., Krüger, Ute, Kühl, Tabea, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Li, Lian, Lindblom, Annika, Lindström, Sara, Linet, Martha, Lissowska, Jolanta, Lo, Wing-Yee, Loibl, Sibylle, Lubiński, Jan, Lux, Michael P., MacInnis, Robert J., Maierthaler, Melanie, Maishman, Tom, Makalic, Enes, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, McLean, Catriona, Meindl, Alfons, Middha, Pooja, Miller, Nicola, Milne, Roger L., Moreno, Fernando, Mulligan, Anna Marie, Mulot, Claire, Nassir, Rami, Neuhausen, Susan L., Newman, William T., Nielsen, Sune F., Nordestgaard, Børge G., Norman, Aaron, Olsson, Håkan, Orr, Nick, Pankratz, V. Shane, Park-Simon, Tjoung-Won, Perez, Jose I. A., Pérez-Barrios, Clara, Peterlongo, Paolo, Petridis, Christos, Pinchev, Mila, Prajzendanc, Karoliona, Prentice, Ross, Presneau, Nadege, Prokofieva, Darya, Pylkäs, Katri, Rack, Brigitte, Radice, Paolo, Ramachandran, Dhanya, Rennert, Gadi, Rennert, Hedy S., Rhenius, Valerie, Romero, Atocha, Roylance, Rebecca, Saloustros, Emmanouil, Sawyer, Elinor J., Schmidt, Daniel F., Schmutzler, Rita K., Schneeweiss, Andreas, Schoemaker, Minouk J., Schumacher, Fredrick, Schwentner, Lukas, Scott, Rodney J., Scott, Christopher, Seynaeve, Caroline, Shah, Mitul, Simard, Jacques, Smeets, Ann, Sohn, Christof, Southey, Melissa C., Swerdlow, Anthony J., Talhouk, Aline, Tamimi, Rulla M., Tapper, William J., Teixeira, Manuel R., Tengström, Maria, Terry, Mary Beth, Thöne, Kathrin, Tollenaar, Rob A. E. M., Tomlinson, Ian, Torres, Diana, Truong, Thérèse, Turman, Constance, Turnbull, Clare, Ulmer, Hans-Ulrich, Untch, Michael, Vachon, Celine, van Asperen, Christi J., van den Ouweland, Ans M. W., van Veen, Elke M., Wendt, Camilla, Whittemore, Alice S., Willett, Walter, Winqvist, Robert, Wolk, Alicja, Yang, Xiaohong R., Zhang, Yan, Easton, Douglas F., Fasching, Peter A., Nevanlinna, Heli, Eccles, Diana M., Pharoah, Paul D. P., and Schmidt, Marjanka K.

Published
2019
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42. A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11

Author

Siddiq, Afshan, Couch, Fergus J, Chen, Gary K, Lindström, Sara, Eccles, Diana, Millikan, Robert C, Michailidou, Kyriaki, Stram, Daniel O, Beckmann, Lars, Rhie, Suhn Kyong, Ambrosone, Christine B, Aittomäki, Kristiina, Amiano, Pilar, Apicella, Carmel, Investigators, Australian Breast Cancer Tissue Bank, Baglietto, Laura, Bandera, Elisa V, Beckmann, Matthias W, Berg, Christine D, Bernstein, Leslie, Blomqvist, Carl, Brauch, Hiltrud, Brinton, Louise, Bui, Quang M, Buring, Julie E, Buys, Saundra S, Campa, Daniele, Carpenter, Jane E, Chasman, Daniel I, Chang-Claude, Jenny, Chen, Constance, Clavel-Chapelon, Françoise, Cox, Angela, Cross, Simon S, Czene, Kamila, Deming, Sandra L, Diasio, Robert B, Diver, W Ryan, Dunning, Alison M, Durcan, Lorraine, Ekici, Arif B, Fasching, Peter A, Study, Familial Breast Cancer, Feigelson, Heather Spencer, Fejerman, Laura, Figueroa, Jonine D, Fletcher, Olivia, Flesch-Janys, Dieter, Gaudet, Mia M, Consortium, The GENICA, Gerty, Susan M, Rodriguez-Gil, Jorge L, Giles, Graham G, van Gils, Carla H, Godwin, Andrew K, Graham, Nikki, Greco, Dario, Hall, Per, Hankinson, Susan E, Hartmann, Arndt, Hein, Rebecca, Heinz, Judith, Hoover, Robert N, Hopper, John L, Hu, Jennifer J, Huntsman, Scott, Ingles, Sue A, Irwanto, Astrid, Isaacs, Claudine, Jacobs, Kevin B, John, Esther M, Justenhoven, Christina, Kaaks, Rudolf, Kolonel, Laurence N, Coetzee, Gerhard A, Lathrop, Mark, Le Marchand, Loic, Lee, Adam M, Lee, I-Min, Lesnick, Timothy, Lichtner, Peter, Liu, Jianjun, Lund, Eiliv, Makalic, Enes, Martin, Nicholas G, McLean, Catriona A, Meijers-Heijboer, Hanne, Meindl, Alfons, Miron, Penelope, Monroe, Kristine R, Montgomery, Grant W, Müller-Myhsok, Bertram, Nickels, Stefan, Nyante, Sarah J, Olswold, Curtis, Overvad, Kim, Palli, Domenico, Park, Daniel J, Palmer, Julie R, and Pathak, Harsh

Subjects
Biological Sciences, Genetics, Clinical Research, Aging, Human Genome, Breast Cancer, Cancer, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Receptors, Estrogen, Australian Breast Cancer Tissue Bank Investigators, Familial Breast Cancer Study, GENICA Consortium, Medical and Health Sciences, Genetics & Heredity
Abstract

Genome-wide association studies (GWAS) of breast cancer defined by hormone receptor status have revealed loci contributing to susceptibility of estrogen receptor (ER)-negative subtypes. To identify additional genetic variants for ER-negative breast cancer, we conducted the largest meta-analysis of ER-negative disease to date, comprising 4754 ER-negative cases and 31 663 controls from three GWAS: NCI Breast and Prostate Cancer Cohort Consortium (BPC3) (2188 ER-negative cases; 25 519 controls of European ancestry), Triple Negative Breast Cancer Consortium (TNBCC) (1562 triple negative cases; 3399 controls of European ancestry) and African American Breast Cancer Consortium (AABC) (1004 ER-negative cases; 2745 controls). We performed in silico replication of 86 SNPs at P ≤ 1 × 10(-5) in an additional 11 209 breast cancer cases (946 with ER-negative disease) and 16 057 controls of Japanese, Latino and European ancestry. We identified two novel loci for breast cancer at 20q11 and 6q14. SNP rs2284378 at 20q11 was associated with ER-negative breast cancer (combined two-stage OR = 1.16; P = 1.1 × 10(-8)) but showed a weaker association with overall breast cancer (OR = 1.08, P = 1.3 × 10(-6)) based on 17 869 cases and 43 745 controls and no association with ER-positive disease (OR = 1.01, P = 0.67) based on 9965 cases and 22 902 controls. Similarly, rs17530068 at 6q14 was associated with breast cancer (OR = 1.12; P = 1.1 × 10(-9)), and with both ER-positive (OR = 1.09; P = 1.5 × 10(-5)) and ER-negative (OR = 1.16, P = 2.5 × 10(-7)) disease. We also confirmed three known loci associated with ER-negative (19p13) and both ER-negative and ER-positive breast cancer (6q25 and 12p11). Our results highlight the value of large-scale collaborative studies to identify novel breast cancer risk loci.

Published
2012

44. A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer

Author

Wu, Lang, Shi, Wei, Long, Jirong, Guo, Xingyi, Michailidou, Kyriaki, Beesley, Jonathan, Bolla, Manjeet K., Shu, Xiao-Ou, Lu, Yingchang, Cai, Qiuyin, Al-Ejeh, Fares, Rozali, Esdy, Wang, Qin, Dennis, Joe, Li, Bingshan, Zeng, Chenjie, Feng, Helian, Gusev, Alexander, Barfield, Richard T., Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J., Auer, Paul L., Barrdahl, Myrto, Baynes, Caroline, Beckmann, Matthias W., Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V., Bojesen, Stig E., Brauch, Hiltrud, Brenner, Hermann, Brinton, Louise, Broberg, Per, Brucker, Sara Y., Burwinkel, Barbara, Caldés, Trinidad, Canzian, Federico, Carter, Brian D., Castelao, J. Esteban, Chang-Claude, Jenny, Chen, Xiaoqing, Cheng, Ting-Yuan David, Christiansen, Hans, Clarke, Christine L., NBCS Collaborators, Collée, Margriet, Cornelissen, Sten, Couch, Fergus J., Cox, David, Cox, Angela, Cross, Simon S., Cunningham, Julie M., Czene, Kamila, Daly, Mary B., Devilee, Peter, Doheny, Kimberly F., Dörk, Thilo, dos-Santos-Silva, Isabel, Dumont, Martine, Dwek, Miriam, Eccles, Diana M., Eilber, Ursula, Eliassen, A. Heather, Engel, Christoph, Eriksson, Mikael, Fachal, Laura, Fasching, Peter A., Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M., García-Closas, Montserrat, Gaudet, Mia M., Ghoussaini, Maya, Giles, Graham G., Goldberg, Mark S., Goldgar, David E., González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hall, Per, Hallberg, Emily, Hamann, Ute, Harrington, Patricia, Hein, Alexander, Hicks, Belynda, Hillemanns, Peter, Hollestelle, Antoinette, Hoover, Robert N., Hopper, John L., Huang, Guanmengqian, Humphreys, Keith, Hunter, David J., Jakubowska, Anna, Janni, Wolfgang, John, Esther M., Johnson, Nichola, Jones, Kristine, Jones, Michael E., Jung, Audrey, Kaaks, Rudolf, Kerin, Michael J., Khusnutdinova, Elza, Kosma, Veli-Matti, Kristensen, Vessela N., Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Lindström, Sara, Lissowska, Jolanta, Lo, Wing-Yee, Loibl, Sibylle, Lubinski, Jan, Luccarini, Craig, Lux, Michael P., MacInnis, Robert J., Maishman, Tom, Kostovska, Ivana Maleva, Mannermaa, Arto, Manson, JoAnn E., Margolin, Sara, Mavroudis, Dimitrios, Meijers-Heijboer, Hanne, Meindl, Alfons, Menon, Usha, Meyer, Jeffery, Mulligan, Anna Marie, Neuhausen, Susan L., Nevanlinna, Heli, Neven, Patrick, Nielsen, Sune F., Nordestgaard, Børge G., Olopade, Olufunmilayo I., Olson, Janet E., Olsson, Håkan, Peterlongo, Paolo, Peto, Julian, Plaseska-Karanfilska, Dijana, Prentice, Ross, Presneau, Nadege, Pylkäs, Katri, Rack, Brigitte, Radice, Paolo, Rahman, Nazneen, Rennert, Gad, Rennert, Hedy S., Rhenius, Valerie, Romero, Atocha, Romm, Jane, Rudolph, Anja, Saloustros, Emmanouil, Sandler, Dale P., Sawyer, Elinor J., Schmidt, Marjanka K., Schmutzler, Rita K., Schneeweiss, Andreas, Scott, Rodney J., Scott, Christopher G., Seal, Sheila, Shah, Mitul, Shrubsole, Martha J., Smeets, Ann, Southey, Melissa C., Spinelli, John J., Stone, Jennifer, Surowy, Harald, Swerdlow, Anthony J., Tamimi, Rulla M., Tapper, William, Taylor, Jack A., Terry, Mary Beth, Tessier, Daniel C., Thomas, Abigail, Thöne, Kathrin, Tollenaar, Rob A. E. M., Torres, Diana, Truong, Thérèse, Untch, Michael, Vachon, Celine, Van Den Berg, David, Vincent, Daniel, Waisfisz, Quinten, Weinberg, Clarice R., Wendt, Camilla, Whittemore, Alice S., Wildiers, Hans, Willett, Walter C., Winqvist, Robert, Wolk, Alicja, Xia, Lucy, Yang, Xiaohong R., Ziogas, Argyrios, Ziv, Elad, kConFab/AOCS Investigators, Dunning, Alison M., Pharoah, Paul D. P., Simard, Jacques, Milne, Roger L., Edwards, Stacey L., Kraft, Peter, Easton, Douglas F., Chenevix-Trench, Georgia, and Zheng, Wei

Published
2018
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45. Supplementary Tables 1-3 from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author

Wang, Xiaoliang, primary, Chen, Hongjie, primary, Kapoor, Pooja Middha, primary, Su, Yu-Ru, primary, Bolla, Manjeet K., primary, Dennis, Joe, primary, Dunning, Alison M., primary, Lush, Michael, primary, Wang, Qin, primary, Michailidou, Kyriaki, primary, Pharoah, Paul D.P., primary, Hopper, John L., primary, Southey, Melissa C., primary, Koutros, Stella, primary, Freeman, Laura E. Beane, primary, Stone, Jennifer, primary, Rennert, Gad, primary, Shibli, Rana, primary, Murphy, Rachel A., primary, Aronson, Kristan, primary, Guénel, Pascal, primary, Truong, Thérèse, primary, Teras, Lauren R., primary, Hodge, James M., primary, Canzian, Federico, primary, Kaaks, Rudolf, primary, Brenner, Hermann, primary, Arndt, Volker, primary, Hoppe, Reiner, primary, Lo, Wing-Yee, primary, Behrens, Sabine, primary, Mannermaa, Arto, primary, Kosma, Veli-Matti, primary, Jung, Audrey, primary, Becher, Heiko, primary, Giles, Graham G., primary, Haiman, Christopher A., primary, Maskarinec, Gertraud, primary, Scott, Christopher, primary, Winham, Stacey, primary, Simard, Jacques, primary, Goldberg, Mark S., primary, Zheng, Wei, primary, Long, Jirong, primary, Troester, Melissa A., primary, Love, Michael I., primary, Peng, Cheng, primary, Tamimi, Rulla, primary, Eliassen, Heather, primary, García-Closas, Montserrat, primary, Figueroa, Jonine, primary, Ahearn, Thomas, primary, Yang, Rose, primary, Evans, D. Gareth, primary, Howell, Anthony, primary, Hall, Per, primary, Czene, Kamila, primary, Wolk, Alicja, primary, Sandler, Dale P., primary, Taylor, Jack A., primary, Swerdlow, Anthony J., primary, Orr, Nick, primary, Lacey, James V., primary, Wang, Sophia, primary, Olsson, Håkan, primary, Easton, Douglas F., primary, Milne, Roger L., primary, Hsu, Li, primary, Kraft, Peter, primary, Chang-Claude, Jenny, primary, and Lindström, Sara, primary

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2023
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46. Supplementary Figure 1 from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author

Wang, Xiaoliang, primary, Chen, Hongjie, primary, Kapoor, Pooja Middha, primary, Su, Yu-Ru, primary, Bolla, Manjeet K., primary, Dennis, Joe, primary, Dunning, Alison M., primary, Lush, Michael, primary, Wang, Qin, primary, Michailidou, Kyriaki, primary, Pharoah, Paul D.P., primary, Hopper, John L., primary, Southey, Melissa C., primary, Koutros, Stella, primary, Freeman, Laura E. Beane, primary, Stone, Jennifer, primary, Rennert, Gad, primary, Shibli, Rana, primary, Murphy, Rachel A., primary, Aronson, Kristan, primary, Guénel, Pascal, primary, Truong, Thérèse, primary, Teras, Lauren R., primary, Hodge, James M., primary, Canzian, Federico, primary, Kaaks, Rudolf, primary, Brenner, Hermann, primary, Arndt, Volker, primary, Hoppe, Reiner, primary, Lo, Wing-Yee, primary, Behrens, Sabine, primary, Mannermaa, Arto, primary, Kosma, Veli-Matti, primary, Jung, Audrey, primary, Becher, Heiko, primary, Giles, Graham G., primary, Haiman, Christopher A., primary, Maskarinec, Gertraud, primary, Scott, Christopher, primary, Winham, Stacey, primary, Simard, Jacques, primary, Goldberg, Mark S., primary, Zheng, Wei, primary, Long, Jirong, primary, Troester, Melissa A., primary, Love, Michael I., primary, Peng, Cheng, primary, Tamimi, Rulla, primary, Eliassen, Heather, primary, García-Closas, Montserrat, primary, Figueroa, Jonine, primary, Ahearn, Thomas, primary, Yang, Rose, primary, Evans, D. Gareth, primary, Howell, Anthony, primary, Hall, Per, primary, Czene, Kamila, primary, Wolk, Alicja, primary, Sandler, Dale P., primary, Taylor, Jack A., primary, Swerdlow, Anthony J., primary, Orr, Nick, primary, Lacey, James V., primary, Wang, Sophia, primary, Olsson, Håkan, primary, Easton, Douglas F., primary, Milne, Roger L., primary, Hsu, Li, primary, Kraft, Peter, primary, Chang-Claude, Jenny, primary, and Lindström, Sara, primary

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2023
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47. Supplementary Information from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author

Wang, Xiaoliang, primary, Chen, Hongjie, primary, Kapoor, Pooja Middha, primary, Su, Yu-Ru, primary, Bolla, Manjeet K., primary, Dennis, Joe, primary, Dunning, Alison M., primary, Lush, Michael, primary, Wang, Qin, primary, Michailidou, Kyriaki, primary, Pharoah, Paul D.P., primary, Hopper, John L., primary, Southey, Melissa C., primary, Koutros, Stella, primary, Freeman, Laura E. Beane, primary, Stone, Jennifer, primary, Rennert, Gad, primary, Shibli, Rana, primary, Murphy, Rachel A., primary, Aronson, Kristan, primary, Guénel, Pascal, primary, Truong, Thérèse, primary, Teras, Lauren R., primary, Hodge, James M., primary, Canzian, Federico, primary, Kaaks, Rudolf, primary, Brenner, Hermann, primary, Arndt, Volker, primary, Hoppe, Reiner, primary, Lo, Wing-Yee, primary, Behrens, Sabine, primary, Mannermaa, Arto, primary, Kosma, Veli-Matti, primary, Jung, Audrey, primary, Becher, Heiko, primary, Giles, Graham G., primary, Haiman, Christopher A., primary, Maskarinec, Gertraud, primary, Scott, Christopher, primary, Winham, Stacey, primary, Simard, Jacques, primary, Goldberg, Mark S., primary, Zheng, Wei, primary, Long, Jirong, primary, Troester, Melissa A., primary, Love, Michael I., primary, Peng, Cheng, primary, Tamimi, Rulla, primary, Eliassen, Heather, primary, García-Closas, Montserrat, primary, Figueroa, Jonine, primary, Ahearn, Thomas, primary, Yang, Rose, primary, Evans, D. Gareth, primary, Howell, Anthony, primary, Hall, Per, primary, Czene, Kamila, primary, Wolk, Alicja, primary, Sandler, Dale P., primary, Taylor, Jack A., primary, Swerdlow, Anthony J., primary, Orr, Nick, primary, Lacey, James V., primary, Wang, Sophia, primary, Olsson, Håkan, primary, Easton, Douglas F., primary, Milne, Roger L., primary, Hsu, Li, primary, Kraft, Peter, primary, Chang-Claude, Jenny, primary, and Lindström, Sara, primary

Published
2023
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48. Data from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author

Wang, Xiaoliang, primary, Chen, Hongjie, primary, Kapoor, Pooja Middha, primary, Su, Yu-Ru, primary, Bolla, Manjeet K., primary, Dennis, Joe, primary, Dunning, Alison M., primary, Lush, Michael, primary, Wang, Qin, primary, Michailidou, Kyriaki, primary, Pharoah, Paul D.P., primary, Hopper, John L., primary, Southey, Melissa C., primary, Koutros, Stella, primary, Freeman, Laura E. Beane, primary, Stone, Jennifer, primary, Rennert, Gad, primary, Shibli, Rana, primary, Murphy, Rachel A., primary, Aronson, Kristan, primary, Guénel, Pascal, primary, Truong, Thérèse, primary, Teras, Lauren R., primary, Hodge, James M., primary, Canzian, Federico, primary, Kaaks, Rudolf, primary, Brenner, Hermann, primary, Arndt, Volker, primary, Hoppe, Reiner, primary, Lo, Wing-Yee, primary, Behrens, Sabine, primary, Mannermaa, Arto, primary, Kosma, Veli-Matti, primary, Jung, Audrey, primary, Becher, Heiko, primary, Giles, Graham G., primary, Haiman, Christopher A., primary, Maskarinec, Gertraud, primary, Scott, Christopher, primary, Winham, Stacey, primary, Simard, Jacques, primary, Goldberg, Mark S., primary, Zheng, Wei, primary, Long, Jirong, primary, Troester, Melissa A., primary, Love, Michael I., primary, Peng, Cheng, primary, Tamimi, Rulla, primary, Eliassen, Heather, primary, García-Closas, Montserrat, primary, Figueroa, Jonine, primary, Ahearn, Thomas, primary, Yang, Rose, primary, Evans, D. Gareth, primary, Howell, Anthony, primary, Hall, Per, primary, Czene, Kamila, primary, Wolk, Alicja, primary, Sandler, Dale P., primary, Taylor, Jack A., primary, Swerdlow, Anthony J., primary, Orr, Nick, primary, Lacey, James V., primary, Wang, Sophia, primary, Olsson, Håkan, primary, Easton, Douglas F., primary, Milne, Roger L., primary, Hsu, Li, primary, Kraft, Peter, primary, Chang-Claude, Jenny, primary, and Lindström, Sara, primary

Published
2023
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49. Supplementary Table 1 from Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations

Author

Fehringer, Gordon, primary, Kraft, Peter, primary, Pharoah, Paul D., primary, Eeles, Rosalind A., primary, Chatterjee, Nilanjan, primary, Schumacher, Fredrick R., primary, Schildkraut, Joellen M., primary, Lindström, Sara, primary, Brennan, Paul, primary, Bickeböller, Heike, primary, Houlston, Richard S., primary, Landi, Maria Teresa, primary, Caporaso, Neil, primary, Risch, Angela, primary, Amin Al Olama, Ali, primary, Berndt, Sonja I., primary, Giovannucci, Edward L., primary, Grönberg, Henrik, primary, Kote-Jarai, Zsofia, primary, Ma, Jing, primary, Muir, Kenneth, primary, Stampfer, Meir J., primary, Stevens, Victoria L., primary, Wiklund, Fredrik, primary, Willett, Walter C., primary, Goode, Ellen L., primary, Permuth, Jennifer B., primary, Risch, Harvey A., primary, Reid, Brett M., primary, Bezieau, Stephane, primary, Brenner, Hermann, primary, Chan, Andrew T., primary, Chang-Claude, Jenny, primary, Hudson, Thomas J., primary, Kocarnik, Jonathan K., primary, Newcomb, Polly A., primary, Schoen, Robert E., primary, Slattery, Martha L., primary, White, Emily, primary, Adank, Muriel A., primary, Ahsan, Habibul, primary, Aittomäki, Kristiina, primary, Baglietto, Laura, primary, Blomquist, Carl, primary, Canzian, Federico, primary, Czene, Kamila, primary, dos-Santos-Silva, Isabel, primary, Eliassen, A. Heather, primary, Figueroa, Jonine D., primary, Flesch-Janys, Dieter, primary, Fletcher, Olivia, primary, Garcia-Closas, Montserrat, primary, Gaudet, Mia M., primary, Johnson, Nichola, primary, Hall, Per, primary, Hazra, Aditi, primary, Hein, Rebecca, primary, Hofman, Albert, primary, Hopper, John L., primary, Irwanto, Astrid, primary, Johansson, Mattias, primary, Kaaks, Rudolf, primary, Kibriya, Muhammad G., primary, Lichtner, Peter, primary, Liu, Jianjun, primary, Lund, Eiliv, primary, Makalic, Enes, primary, Meindl, Alfons, primary, Müller-Myhsok, Bertram, primary, Muranen, Taru A., primary, Nevanlinna, Heli, primary, Peeters, Petra H., primary, Peto, Julian, primary, Prentice, Ross L., primary, Rahman, Nazneen, primary, Sanchez, Maria Jose, primary, Schmidt, Daniel F., primary, Schmutzler, Rita K., primary, Southey, Melissa C., primary, Tamimi, Rulla, primary, Travis, Ruth C., primary, Turnbull, Clare, primary, Uitterlinden, Andre G., primary, Wang, Zhaoming, primary, Whittemore, Alice S., primary, Yang, Xiaohong R., primary, Zheng, Wei, primary, Buchanan, Daniel D., primary, Casey, Graham, primary, Conti, David V., primary, Edlund, Christopher K., primary, Gallinger, Steven, primary, Haile, Robert W., primary, Jenkins, Mark, primary, Le Marchand, Loïc, primary, Li, Li, primary, Lindor, Noralene M., primary, Schmit, Stephanie L., primary, Thibodeau, Stephen N., primary, Woods, Michael O., primary, Rafnar, Thorunn, primary, Gudmundsson, Julius, primary, Stacey, Simon N., primary, Stefansson, Kari, primary, Sulem, Patrick, primary, Chen, Y. Ann, primary, Tyrer, Jonathan P., primary, Christiani, David C., primary, Wei, Yongyue, primary, Shen, Hongbing, primary, Hu, Zhibin, primary, Shu, Xiao-Ou, primary, Shiraishi, Kouya, primary, Takahashi, Atsushi, primary, Bossé, Yohan, primary, Obeidat, Ma'en, primary, Nickle, David, primary, Timens, Wim, primary, Freedman, Matthew L., primary, Li, Qiyuan, primary, Seminara, Daniela, primary, Chanock, Stephen J., primary, Gong, Jian, primary, Peters, Ulrike, primary, Gruber, Stephen B., primary, Amos, Christopher I., primary, Sellers, Thomas A., primary, Easton, Douglas F., primary, Hunter, David J., primary, Haiman, Christopher A., primary, Henderson, Brian E., primary, and Hung, Rayjean J., primary

Published
2023
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50. Supplementary notes from Genome-Wide Association Study of Prostate Cancer–Specific Survival

Author

Szulkin, Robert, primary, Karlsson, Robert, primary, Whitington, Thomas, primary, Aly, Markus, primary, Gronberg, Henrik, primary, Eeles, Rosalind A., primary, Easton, Douglas F., primary, Kote-Jarai, Zsofia, primary, Al Olama, Ali Amin, primary, Benlloch, Sara, primary, Muir, Kenneth, primary, Giles, Graham G., primary, Southey, Melissa C., primary, FitzGerald, Liesel M., primary, Henderson, Brian E., primary, Schumacher, Fredrick R., primary, Haiman, Christopher A., primary, Sipeky, Csilla, primary, Tammela, Teuvo L.J., primary, Nordestgaard, Børge G., primary, Key, Timothy J., primary, Travis, Ruth C., primary, Neal, David E., primary, Donovan, Jenny L., primary, Hamdy, Freddie C., primary, Pharoah, Paul D.P., primary, Pashayan, Nora, primary, Khaw, Kay-Tee, primary, Stanford, Janet L., primary, Thibodeau, Stephen N., primary, McDonnell, Shannon K., primary, Schaid, Daniel J., primary, Maier, Christiane, primary, Vogel, Walther, primary, Luedeke, Manuel, primary, Herkommer, Kathleen, primary, Kibel, Adam S., primary, Cybulski, Cezary, primary, Lubiński, Jan, primary, Kluźniak, Wojciech, primary, Cannon-Albright, Lisa, primary, Brenner, Hermann, primary, Herrmann, Volker, primary, Holleczek, Bernd, primary, Park, Jong Y., primary, Sellers, Thomas A., primary, Lim, Hui-Yi, primary, Slavov, Chavdar, primary, Kaneva, Radka P., primary, Mitev, Vanio I., primary, Spurdle, Amanda, primary, Teixeira, Manuel R., primary, Paulo, Paula, primary, Maia, Sofia, primary, Pandha, Hardev, primary, Michael, Agnieszka, primary, Kierzek, Andrzej, primary, Batra, Jyotsna, primary, Clements, Judith A., primary, Albanes, Demetrius, primary, Andriole, Gerald L., primary, Berndt, Sonja I., primary, Chanock, Stephen, primary, Gapstur, Susan M., primary, Giovannucci, Edward L., primary, Hunter, David J., primary, Kraft, Peter, primary, Le Marchand, Loic, primary, Ma, Jing, primary, Mondul, Alison M., primary, Penney, Kathryn L., primary, Stampfer, Meir J., primary, Stevens, Victoria L., primary, Weinstein, Stephanie J., primary, Trichopoulou, Antonia, primary, Bueno-de-Mesquita, Bas H., primary, Tjønneland, Anne, primary, Cox, David G., primary, Maehle, Lovise, primary, Schleutker, Johanna, primary, Lindström, Sara, primary, and Wiklund, Fredrik, primary

Published
2023
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