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1.  Additive Interactions Between Susceptibility Single-Nucleotide Polymorphisms Identified in Genome-Wide Association Studies and Breast Cancer Risk Factors in the Breast and Prostate Cancer Cohort Consortium 
Joshi, Amit D. | Lindström, Sara | Hüsing, Anika | Barrdahl, Myrto | VanderWeele, Tyler J. | Campa, Daniele | Canzian, Federico | Gaudet, Mia M. | Figueroa, Jonine D. | Baglietto, Laura | Berg, Christine D. | Buring, Julie E. | Chanock, Stephen J. | Chirlaque, María-Dolores | Diver, W. Ryan | Dossus, Laure | Giles, Graham G. | Haiman, Christopher A. | Hankinson, Susan E. | Henderson, Brian E. | Hoover, Robert N. | Hunter, David J. | Isaacs, Claudine | Kaaks, Rudolf | Kolonel, Laurence N. | Krogh, Vittorio | Le Marchand, Loic | Lee, I-Min | Lund, Eiliv | McCarty, Catherine A. | Overvad, Kim | Peeters, Petra H. | Riboli, Elio | Schumacher, Fredrick | Severi, Gianluca | Stram, Daniel O. | Sund, Malin | Thun, Michael J. | Travis, Ruth C. | Trichopoulos, Dimitrios | Willett, Walter C. | Zhang, Shumin | Ziegler, Regina G. | Kraft, Peter | Joshi, Amit D. | Lindström, Sara | Hunter, David J. | Kraft, Peter | Hüsing, Anika | Barrdahl, Myrto | Kaaks, Rudolf | Kraft, Peter | VanderWeele, Tyler J. | Trichopoulos, Dimitrios | Campa, Daniele | VanderWeele, Tyler J. | Campa, Daniele | Canzian, Federico | Gaudet, Mia M. | Figueroa, Jonine D. | Chanock, Stephen J. | Hoover, Robert N. | Ziegler, Regina G. | Baglietto, Laura | Giles, Graham G. | Severi, Gianluca | Baglietto, Laura | Giles, Graham G. | Severi, Gianluca | Berg, Christine D. | Buring, Julie E. | Lee, I-Min | Zhang, Shumin | Chirlaque, María-Dolores | Chirlaque, María-Dolores | Diver, W. Ryan | Thun, Michael J. | Dossus, Laure | Dossus, Laure | Giles, Graham G. | Haiman, Christopher A. | Schumacher, Fredrick | Stram, Daniel O. | Henderson, Brian E. | Hankinson, Susan E. | Isaacs, Claudine | Kolonel, Laurence N. | Krogh, Vittorio | Marchand, Loic Le | Lund, Eiliv | McCarty, Catherine A. | Overvad, Kim | Peeters, Petra H. | Peeters, Petra H. | Riboli, Elio | Sund, Malin | Travis, Ruth C. | Trichopoulos, Dimitrios | Trichopoulos, Dimitrios | Willett, Walter C.
American Journal of Epidemiology  2014;180(10):1018-1027.
Additive interactions can have public health and etiological implications but are infrequently reported. We assessed departures from additivity on the absolute risk scale between 9 established breast cancer risk factors and 23 susceptibility single-nucleotide polymorphisms (SNPs) identified from genome-wide association studies among 10,146 non-Hispanic white breast cancer cases and 12,760 controls within the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium. We estimated the relative excess risk due to interaction and its 95% confidence interval for each pairwise combination of SNPs and nongenetic risk factors using age- and cohort-adjusted logistic regression models. After correction for multiple comparisons, we identified a statistically significant relative excess risk due to interaction (uncorrected P = 4.51 × 10−5) between a SNP in the DNA repair protein RAD51 homolog 2 gene (RAD51L1; rs10483813) and body mass index (weight (kg)/height (m)2). We also compared additive and multiplicative polygenic risk prediction models using per-allele odds ratio estimates from previous studies for breast-cancer susceptibility SNPs and observed that the multiplicative model had a substantially better goodness of fit than the additive model.
doi:10.1093/aje/kwu214
PMCID: PMC4224360  PMID: 25255808
additive interactions; breast cancer; genome-wide association studies; single-nucleotide polymorphisms
2.  Longitudinal change in mammographic density among ER-positive breast cancer patients using tamoxifen 
Tamoxifen-associated mammographic density (MD) reductions are linked to improved breast cancer survival. We evaluated MD at six time points to determine the timing of greatest reduction following tamoxifen initiation. We sampled 40 Kaiser Permanente Northwest ER-positive breast cancer patients from a prior study of MD change, according to tamoxifen use duration and age at diagnosis: <4 years tamoxifen and ≤50 years (N=6) or >50 years (N=10) old; ≥4 years tamoxifen and ≤50 years (N=13) or >50 years (N=11) old. A single reader evaluated percent MD in the contralateral breast on baseline (pre-diagnosis) and five approximately yearly post-diagnostic (T1 to T5) mammograms. Mean MD change was calculated. Interactions with age (≤50, >50 years), tamoxifen duration (<4, ≥4 years), and baseline MD (tertiles) were tested in linear regression models. Overall, the largest MD decline occurred by T1 (mean 4.5%) with little additional decline by T5. Declines differed by tertile of baseline MD (P-interaction<0.01). In the highest tertile, the largest reduction occurred by T1 (mean 14.9%), with an additional reduction of 3.6% by T5. Changes were smaller in the middle and lowest baseline MD tertiles, with cumulative reductions of 3.0% and 0.4% from baseline to T5, respectively. There were no differences by age (P-interaction=0.36) or tamoxifen duration (P-interaction=0.42). Among ER-positive patients treated with tamoxifen and surviving ≥5 years, most of the MD reduction occurred within approximately 12 months of tamoxifen initiation, suggesting that MD measurement at a single time-point following tamoxifen initiation can identify patients with substantial density declines.
doi:10.1158/1055-9965.EPI-15-0412
PMCID: PMC4713329  PMID: 26545407
estrogen receptor-positive breast cancer; tamoxifen; mammographic density; longitudinal trends
3.  Associations of Breast Cancer Risk Factors with Premenopausal Sex Hormones in Women with Very Low Breast Cancer Risk 
Breast cancer incidence rates are low but rising in urban Mongolia. We collected reproductive and lifestyle factor information and measured anthropometrics and serum sex steroid concentrations among 314 premenopausal women living in Ulaanbaatar, Mongolia. Mean differences in hormone concentrations by these factors were calculated using age-adjusted quadratic regression splines. Estrone and estradiol in college-educated women were, respectively, 18.2% (p = 0.03) and 23.6% (p = 0.03) lower than in high-school-educated women. Progesterone concentrations appeared 55.8% lower (p = 0.10) in women residing in modern housing compared with women living in traditional housing (gers), although this finding was not statistically significant. Testosterone concentrations were positively associated with adiposity and central fat distribution; 17.1% difference (p = 0.001) for highest vs. lowest quarter for body mass index and 15.1% difference (p = 0.005) for waist-to-height ratio. Estrogens were higher in the follicular phase of women who breastfed each child for shorter durations. A distinct hormonal profile was associated with an urban lifestyle in premenopausal, Mongol women. In particular, heavier, more-educated women living in urban dwellings had higher testosterone and lower estrogen and progesterone levels. Higher breast cancer incidence in urban compared with rural women suggest that the hormonal profile associated with a more traditional lifestyle may be protective among Mongol women.
doi:10.3390/ijerph13111066
PMCID: PMC5129276  PMID: 27809264
breast cancer; sex steroids; estrogen; progesterone; testosterone; urban migration; Mongolia
4.  Association of Breast Cancer Risk loci with Breast Cancer Survival 
The survival of breast cancer patients is largely influenced by tumor characteristics, such as TNM stage, tumor grade and hormone receptor status. However, there is growing evidence that inherited genetic variation might affect the disease prognosis and response to treatment. Several lines of evidence suggest that alleles influencing breast cancer risk might also be associated with breast cancer survival. We examined the associations between 35 breast cancer susceptibility loci and the disease over-all survival (OS) in 10,255 breast cancer patients from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3) of which 1,379 died, including 754 of breast cancer. We also conducted a meta-analysis of almost 35,000 patients and 5,000 deaths, combining results from BPC3 and the Breast Cancer Association Consortium (BCAC) and performed in silico analyses of SNPs with significant associations. In BPC3, the C allele of LSP1-rs3817198 was significantly associated with improved OS (HRper-allele=0.70; 95% CI: 0.58–0.85; Ptrend=2.84×10−4; HRheterozygotes=0.71; 95% CI: 0.55–0.92; HRhomozygotes=0.48; 95% CI: 0.31–0.76; P2DF=1.45×10−3). In silico, the C allele of LSP1-rs3817198 was predicted to increase expression of the tumor suppressor cyclin-dependent kinase inhibitor 1C (CDKN1C). In the meta-analysis, TNRC9-rs3803662 was significantly associated with increased death hazard (HRMETA =1.09; 95% CI: 1.04–1.15; Ptrend=6.6×10−4; HRheterozygotes=0.96 95% CI: 0.90–1.03; HRhomozygotes= 1.21; 95% CI: 1.09–1.35; P2DF=1.25×10−4). In conclusion, we show that there is little overlap between the breast cancer risk single nucleotide polymorphisms (SNPs) identified so far and the SNPs associated with breast cancer prognosis, with the possible exceptions of LSP1-rs3817198 and TNRC9-rs3803662.
doi:10.1002/ijc.29446
PMCID: PMC4615576  PMID: 25611573
breast cancer; SNP; survival; BPC3; meta-analysis
5.  Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for 13 Cancer Types 
Sampson, Joshua N. | Wheeler, William A. | Yeager, Meredith | Panagiotou, Orestis | Wang, Zhaoming | Berndt, Sonja I. | Lan, Qing | Abnet, Christian C. | Amundadottir, Laufey T. | Figueroa, Jonine D. | Landi, Maria Teresa | Mirabello, Lisa | Savage, Sharon A. | Taylor, Philip R. | Vivo, Immaculata De | McGlynn, Katherine A. | Purdue, Mark P. | Rajaraman, Preetha | Adami, Hans-Olov | Ahlbom, Anders | Albanes, Demetrius | Amary, Maria Fernanda | An, She-Juan | Andersson, Ulrika | Andriole, Gerald | Andrulis, Irene L. | Angelucci, Emanuele | Ansell, Stephen M. | Arici, Cecilia | Armstrong, Bruce K. | Arslan, Alan A. | Austin, Melissa A. | Baris, Dalsu | Barkauskas, Donald A. | Bassig, Bryan A. | Becker, Nikolaus | Benavente, Yolanda | Benhamou, Simone | Berg, Christine | Van Den Berg, David | Bernstein, Leslie | Bertrand, Kimberly A. | Birmann, Brenda M. | Black, Amanda | Boeing, Heiner | Boffetta, Paolo | Boutron-Ruault, Marie-Christine | Bracci, Paige M. | Brinton, Louise | Brooks-Wilson, Angela R. | Bueno-de-Mesquita, H. Bas | Burdett, Laurie | Buring, Julie | Butler, Mary Ann | Cai, Qiuyin | Cancel-Tassin, Geraldine | Canzian, Federico | Carrato, Alfredo | Carreon, Tania | Carta, Angela | Chan, John K. C. | Chang, Ellen T. | Chang, Gee-Chen | Chang, I-Shou | Chang, Jiang | Chang-Claude, Jenny | Chen, Chien-Jen | Chen, Chih-Yi | Chen, Chu | Chen, Chung-Hsing | Chen, Constance | Chen, Hongyan | Chen, Kexin | Chen, Kuan-Yu | Chen, Kun-Chieh | Chen, Ying | Chen, Ying-Hsiang | Chen, Yi-Song | Chen, Yuh-Min | Chien, Li-Hsin | Chirlaque, María-Dolores | Choi, Jin Eun | Choi, Yi Young | Chow, Wong-Ho | Chung, Charles C. | Clavel, Jacqueline | Clavel-Chapelon, Françoise | Cocco, Pierluigi | Colt, Joanne S. | Comperat, Eva | Conde, Lucia | Connors, Joseph M. | Conti, David | Cortessis, Victoria K. | Cotterchio, Michelle | Cozen, Wendy | Crouch, Simon | Crous-Bou, Marta | Cussenot, Olivier | Davis, Faith G. | Ding, Ti | Diver, W. Ryan | Dorronsoro, Miren | Dossus, Laure | Duell, Eric J. | Ennas, Maria Grazia | Erickson, Ralph L. | Feychting, Maria | Flanagan, Adrienne M. | Foretova, Lenka | Fraumeni, Joseph F. | Freedman, Neal D. | Beane Freeman, Laura E. | Fuchs, Charles | Gago-Dominguez, Manuela | Gallinger, Steven | Gao, Yu-Tang | Gapstur, Susan M. | Garcia-Closas, Montserrat | García-Closas, Reina | Gascoyne, Randy D. | Gastier-Foster, Julie | Gaudet, Mia M. | Gaziano, J. Michael | Giffen, Carol | Giles, Graham G. | Giovannucci, Edward | Glimelius, Bengt | Goggins, Michael | Gokgoz, Nalan | Goldstein, Alisa M. | Gorlick, Richard | Gross, Myron | Grubb, Robert | Gu, Jian | Guan, Peng | Gunter, Marc | Guo, Huan | Habermann, Thomas M. | Haiman, Christopher A. | Halai, Dina | Hallmans, Goran | Hassan, Manal | Hattinger, Claudia | He, Qincheng | He, Xingzhou | Helzlsouer, Kathy | Henderson, Brian | Henriksson, Roger | Hjalgrim, Henrik | Hoffman-Bolton, Judith | Hohensee, Chancellor | Holford, Theodore R. | Holly, Elizabeth A. | Hong, Yun-Chul | Hoover, Robert N. | Horn-Ross, Pamela L. | Hosain, G. M. Monawar | Hosgood, H. Dean | Hsiao, Chin-Fu | Hu, Nan | Hu, Wei | Hu, Zhibin | Huang, Ming-Shyan | Huerta, Jose-Maria | Hung, Jen-Yu | Hutchinson, Amy | Inskip, Peter D. | Jackson, Rebecca D. | Jacobs, Eric J. | Jenab, Mazda | Jeon, Hyo-Sung | Ji, Bu-Tian | Jin, Guangfu | Jin, Li | Johansen, Christoffer | Johnson, Alison | Jung, Yoo Jin | Kaaks, Rudolph | Kamineni, Aruna | Kane, Eleanor | Kang, Chang Hyun | Karagas, Margaret R. | Kelly, Rachel S. | Khaw, Kay-Tee | Kim, Christopher | Kim, Hee Nam | Kim, Jin Hee | Kim, Jun Suk | Kim, Yeul Hong | Kim, Young Tae | Kim, Young-Chul | Kitahara, Cari M. | Klein, Alison P. | Klein, Robert J. | Kogevinas, Manolis | Kohno, Takashi | Kolonel, Laurence N. | Kooperberg, Charles | Kricker, Anne | Krogh, Vittorio | Kunitoh, Hideo | Kurtz, Robert C. | Kweon, Sun-Seog | LaCroix, Andrea | Lawrence, Charles | Lecanda, Fernando | Lee, Victor Ho Fun | Li, Donghui | Li, Haixin | Li, Jihua | Li, Yao-Jen | Li, Yuqing | Liao, Linda M. | Liebow, Mark | Lightfoot, Tracy | Lim, Wei-Yen | Lin, Chien-Chung | Lin, Dongxin | Lindstrom, Sara | Linet, Martha S. | Link, Brian K. | Liu, Chenwei | Liu, Jianjun | Liu, Li | Ljungberg, Börje | Lloreta, Josep | Lollo, Simonetta Di | Lu, Daru | Lund, Eiluv | Malats, Nuria | Mannisto, Satu | Marchand, Loic Le | Marina, Neyssa | Masala, Giovanna | Mastrangelo, Giuseppe | Matsuo, Keitaro | Maynadie, Marc | McKay, James | McKean-Cowdin, Roberta | Melbye, Mads | Melin, Beatrice S. | Michaud, Dominique S. | Mitsudomi, Tetsuya | Monnereau, Alain | Montalvan, Rebecca | Moore, Lee E. | Mortensen, Lotte Maxild | Nieters, Alexandra | North, Kari E. | Novak, Anne J. | Oberg, Ann L. | Offit, Kenneth | Oh, In-Jae | Olson, Sara H. | Palli, Domenico | Pao, William | Park, In Kyu | Park, Jae Yong | Park, Kyong Hwa | Patiño-Garcia, Ana | Pavanello, Sofia | Peeters, Petra H. M. | Perng, Reury-Perng | Peters, Ulrike | Petersen, Gloria M. | Picci, Piero | Pike, Malcolm C. | Porru, Stefano | Prescott, Jennifer | Prokunina-Olsson, Ludmila | Qian, Biyun | Qiao, You-Lin | Rais, Marco | Riboli, Elio | Riby, Jacques | Risch, Harvey A. | Rizzato, Cosmeri | Rodabough, Rebecca | Roman, Eve | Roupret, Morgan | Ruder, Avima M. | de Sanjose, Silvia | Scelo, Ghislaine | Schned, Alan | Schumacher, Fredrick | Schwartz, Kendra | Schwenn, Molly | Scotlandi, Katia | Seow, Adeline | Serra, Consol | Serra, Massimo | Sesso, Howard D. | Setiawan, Veronica Wendy | Severi, Gianluca | Severson, Richard K. | Shanafelt, Tait D. | Shen, Hongbing | Shen, Wei | Shin, Min-Ho | Shiraishi, Kouya | Shu, Xiao-Ou | Siddiq, Afshan | Sierrasesúmaga, Luis | Sihoe, Alan Dart Loon | Skibola, Christine F. | Smith, Alex | Smith, Martyn T. | Southey, Melissa C. | Spinelli, John J. | Staines, Anthony | Stampfer, Meir | Stern, Marianna C. | Stevens, Victoria L. | Stolzenberg-Solomon, Rachael S. | Su, Jian | Su, Wu-Chou | Sund, Malin | Sung, Jae Sook | Sung, Sook Whan | Tan, Wen | Tang, Wei | Tardón, Adonina | Thomas, David | Thompson, Carrie A. | Tinker, Lesley F. | Tirabosco, Roberto | Tjønneland, Anne | Travis, Ruth C. | Trichopoulos, Dimitrios | Tsai, Fang-Yu | Tsai, Ying-Huang | Tucker, Margaret | Turner, Jenny | Vajdic, Claire M. | Vermeulen, Roel C. H. | Villano, Danylo J. | Vineis, Paolo | Virtamo, Jarmo | Visvanathan, Kala | Wactawski-Wende, Jean | Wang, Chaoyu | Wang, Chih-Liang | Wang, Jiu-Cun | Wang, Junwen | Wei, Fusheng | Weiderpass, Elisabete | Weiner, George J. | Weinstein, Stephanie | Wentzensen, Nicolas | White, Emily | Witzig, Thomas E. | Wolpin, Brian M. | Wong, Maria Pik | Wu, Chen | Wu, Guoping | Wu, Junjie | Wu, Tangchun | Wu, Wei | Wu, Xifeng | Wu, Yi-Long | Wunder, Jay S. | Xiang, Yong-Bing | Xu, Jun | Xu, Ping | Yang, Pan-Chyr | Yang, Tsung-Ying | Ye, Yuanqing | Yin, Zhihua | Yokota, Jun | Yoon, Ho-Il | Yu, Chong-Jen | Yu, Herbert | Yu, Kai | Yuan, Jian-Min | Zelenetz, Andrew | Zeleniuch-Jacquotte, Anne | Zhang, Xu-Chao | Zhang, Yawei | Zhao, Xueying | Zhao, Zhenhong | Zheng, Hong | Zheng, Tongzhang | Zheng, Wei | Zhou, Baosen | Zhu, Meng | Zucca, Mariagrazia | Boca, Simina M. | Cerhan, James R. | Ferri, Giovanni M. | Hartge, Patricia | Hsiung, Chao Agnes | Magnani, Corrado | Miligi, Lucia | Morton, Lindsay M. | Smedby, Karin E. | Teras, Lauren R. | Vijai, Joseph | Wang, Sophia S. | Brennan, Paul | Caporaso, Neil E. | Hunter, David J. | Kraft, Peter | Rothman, Nathaniel | Silverman, Debra T. | Slager, Susan L. | Chanock, Stephen J. | Chatterjee, Nilanjan
Background:
Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.
Methods:
Between 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.
Results:
GWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl 2, on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.
Conclusion:
Our results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.
doi:10.1093/jnci/djv279
PMCID: PMC4806328  PMID: 26464424
6.  ABO Blood Group Alleles and Prostate Cancer Risk: Results from the Breast and Prostate Cancer Cohort Consortium (BPC3) 
The Prostate  2015;75(15):1677-1681.
Background
ABO blood group has been associated with risk of cancers of the pancreas, stomach, ovary, kidney and skin, but has not been evaluated in relation to risk of aggressive prostate cancer.
Methods
We used three single nucleotide polymorphisms (SNPs) (rs8176746, rs505922, and rs8176704) to determine ABO genotype in 2,774 aggressive prostate cancer cases and 4,443 controls from the Breast and Prostate Cancer Cohort Consortium (BPC3). Unconditional logistic regression was used to calculate age and study adjusted odds ratios and 95% confidence intervals for the association between blood type, genotype and risk of aggressive prostate cancer (Gleason score ≥8 or locally advanced/metastatic disease (stage T3/T4/N1/M1).
Results
We found no association between ABO blood type and risk of aggressive prostate cancer (Type A: OR=0.97, 95% CI=0.87-1.08; Type B: OR=0.92, 95% CI=0.77-1.09; Type AB: OR=1.25, 95% CI=0.98-1.59, compared to Type O, respectively). Similarly, there was no association between ‘dose’ of A or B alleles and aggressive prostate cancer risk.
Conclusions
ABO blood type was not associated with risk of aggressive prostate cancer.
doi:10.1002/pros.23035
PMCID: PMC4578997  PMID: 26268879
ABO; blood type; prostate cancer; genetic epidemiology
7.  A meta-analysis of individual participant data reveals an association between circulating levels of IGF-I and prostate cancer risk 
Cancer research  2016;76(8):2288-2300.
The role of insulin-like growth factors (IGFs) in prostate cancer development is not fully understood. To investigate the association between circulating concentrations of IGFs (IGF-I, IGF-II, IGFBP-1, IGFBP-2, IGFBP-3) and prostate cancer risk, we pooled individual participant data from 17 prospective and two cross-sectional studies, including up to 10,554 prostate cancer cases and 13,618 control participants. Conditional logistic regression was used to estimate the odds ratios (ORs) for prostate cancer based on the study-specific fifth of each analyte. Overall, IGF-I, IGF-II, IGFBP-2, and IGFBP-3 concentrations were positively associated with prostate cancer risk (Ptrend all ≤ 0.005), and IGFBP-1 was weakly inversely associated with risk (Ptrend = 0.05). However, heterogeneity between the prospective and cross-sectional studies was evident (Pheterogeneity = 0.03), unless the analyses were restricted to prospective studies (with the exception of IGF-II, Pheterogeneity = 0.02). For prospective studies, the OR for men in the highest versus the lowest fifth of each analyte was 1.29 (95% confidence interval=1.16-1.43) for IGF-I, 0.81 (0.68-0.96) for IGFBP-1, and 1.25 (1.12-1.40) for IGFBP-3. These associations did not differ significantly by time-to-diagnosis or tumor stage or grade. After mutual adjustment for each of the other analytes, only IGF-I remained associated with risk. Our collaborative study represents the largest pooled analysis of the relationship between prostate cancer risk and circulating concentrations of IGF-I, providing strong evidence that IGF-I is highly likely to be involved in prostate cancer development.
doi:10.1158/0008-5472.CAN-15-1551
PMCID: PMC4873385  PMID: 26921328
prostate cancer; insulin-like growth factor; insulin-like growth factor binding protein; pooled analysis
8.  Mosaic loss of chromosome Y is associated with common variation near TCL1A 
Nature genetics  2016;48(5):563-568.
Mosaic loss of the Y chromosome (mLOY) leading to gonosomal XY/XO commonly occurs during aging, particularly in smokers. We investigated whether mLOY was associated with non-hematologic cancer in three prospective cohorts (8,679 cancer cases and 5,110 cancer-free controls), and genetic susceptibility to mLOY. Overall, mLOY was observed in 7% of men and increased with age (per year OR=1.13, 95%CI=1.12–1.15; P<2×10−16), reaching 18.7% among men over age 80. mLOY was associated with current smoking (OR=2.35, 95%CI=1.82–3.03; P=5.55×10−11); however, the association weakened with years after cessation. mLOY was not consistently associated with overall or specific cancer risk (e.g. for bladder, lung, or prostate) nor with cancer survival after diagnosis (multivariate-adjusted hazard ratio=0.87, 95% CI=0.73–1.04, P=0.12). In a genome-wide association study, we observed the first example of a common susceptibility locus for genetic mosaicism, specifically mLOY, which maps to the T-cell leukemia/lymphoma 1A (TCL1A) gene on 14q32.13, marked by rs2887399 (OR=1.55, 95%CI=1.36–1.78; P=1.37×10−10).
doi:10.1038/ng.3545
PMCID: PMC4848121  PMID: 27064253
9.  Integration of multiethnic fine-mapping and genomic annotation to prioritize candidate functional SNPs at prostate cancer susceptibility regions 
Han, Ying | Hazelett, Dennis J. | Wiklund, Fredrik | Schumacher, Fredrick R. | Stram, Daniel O. | Berndt, Sonja I. | Wang, Zhaoming | Rand, Kristin A. | Hoover, Robert N. | Machiela, Mitchell J. | Yeager, Merideth | Burdette, Laurie | Chung, Charles C. | Hutchinson, Amy | Yu, Kai | Xu, Jianfeng | Travis, Ruth C. | Key, Timothy J. | Siddiq, Afshan | Canzian, Federico | Takahashi, Atsushi | Kubo, Michiaki | Stanford, Janet L. | Kolb, Suzanne | Gapstur, Susan M. | Diver, W. Ryan | Stevens, Victoria L. | Strom, Sara S. | Pettaway, Curtis A. | Al Olama, Ali Amin | Kote-Jarai, Zsofia | Eeles, Rosalind A. | Yeboah, Edward D. | Tettey, Yao | Biritwum, Richard B. | Adjei, Andrew A. | Tay, Evelyn | Truelove, Ann | Niwa, Shelley | Chokkalingam, Anand P. | Isaacs, William B. | Chen, Constance | Lindstrom, Sara | Le Marchand, Loic | Giovannucci, Edward L. | Pomerantz, Mark | Long, Henry | Li, Fugen | Ma, Jing | Stampfer, Meir | John, Esther M. | Ingles, Sue A. | Kittles, Rick A. | Murphy, Adam B. | Blot, William J. | Signorello, Lisa B. | Zheng, Wei | Albanes, Demetrius | Virtamo, Jarmo | Weinstein, Stephanie | Nemesure, Barbara | Carpten, John | Leske, M. Cristina | Wu, Suh-Yuh | Hennis, Anselm J. M. | Rybicki, Benjamin A. | Neslund-Dudas, Christine | Hsing, Ann W. | Chu, Lisa | Goodman, Phyllis J. | Klein, Eric A. | Zheng, S. Lilly | Witte, John S. | Casey, Graham | Riboli, Elio | Li, Qiyuan | Freedman, Matthew L. | Hunter, David J. | Gronberg, Henrik | Cook, Michael B. | Nakagawa, Hidewaki | Kraft, Peter | Chanock, Stephen J. | Easton, Douglas F. | Henderson, Brian E. | Coetzee, Gerhard A. | Conti, David V. | Haiman, Christopher A.
Human Molecular Genetics  2015;24(19):5603-5618.
Interpretation of biological mechanisms underlying genetic risk associations for prostate cancer is complicated by the relatively large number of risk variants (n = 100) and the thousands of surrogate SNPs in linkage disequilibrium. Here, we combined three distinct approaches: multiethnic fine-mapping, putative functional annotation (based upon epigenetic data and genome-encoded features), and expression quantitative trait loci (eQTL) analyses, in an attempt to reduce this complexity. We examined 67 risk regions using genotyping and imputation-based fine-mapping in populations of European (cases/controls: 8600/6946), African (cases/controls: 5327/5136), Japanese (cases/controls: 2563/4391) and Latino (cases/controls: 1034/1046) ancestry. Markers at 55 regions passed a region-specific significance threshold (P-value cutoff range: 3.9 × 10−4–5.6 × 10−3) and in 30 regions we identified markers that were more significantly associated with risk than the previously reported variants in the multiethnic sample. Novel secondary signals (P < 5.0 × 10−6) were also detected in two regions (rs13062436/3q21 and rs17181170/3p12). Among 666 variants in the 55 regions with P-values within one order of magnitude of the most-associated marker, 193 variants (29%) in 48 regions overlapped with epigenetic or other putative functional marks. In 11 of the 55 regions, cis-eQTLs were detected with nearby genes. For 12 of the 55 regions (22%), the most significant region-specific, prostate-cancer associated variant represented the strongest candidate functional variant based on our annotations; the number of regions increased to 20 (36%) and 27 (49%) when examining the 2 and 3 most significantly associated variants in each region, respectively. These results have prioritized subsets of candidate variants for downstream functional evaluation.
doi:10.1093/hmg/ddv269
PMCID: PMC4572069  PMID: 26162851
10.  Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome 
Machiela, Mitchell J. | Zhou, Weiyin | Karlins, Eric | Sampson, Joshua N. | Freedman, Neal D. | Yang, Qi | Hicks, Belynda | Dagnall, Casey | Hautman, Christopher | Jacobs, Kevin B. | Abnet, Christian C. | Aldrich, Melinda C. | Amos, Christopher | Amundadottir, Laufey T. | Arslan, Alan A. | Beane-Freeman, Laura E. | Berndt, Sonja I. | Black, Amanda | Blot, William J. | Bock, Cathryn H. | Bracci, Paige M. | Brinton, Louise A. | Bueno-de-Mesquita, H Bas | Burdett, Laurie | Buring, Julie E. | Butler, Mary A. | Canzian, Federico | Carreón, Tania | Chaffee, Kari G. | Chang, I-Shou | Chatterjee, Nilanjan | Chen, Chu | Chen, Constance | Chen, Kexin | Chung, Charles C. | Cook, Linda S. | Crous Bou, Marta | Cullen, Michael | Davis, Faith G. | De Vivo, Immaculata | Ding, Ti | Doherty, Jennifer | Duell, Eric J. | Epstein, Caroline G. | Fan, Jin-Hu | Figueroa, Jonine D. | Fraumeni, Joseph F. | Friedenreich, Christine M. | Fuchs, Charles S. | Gallinger, Steven | Gao, Yu-Tang | Gapstur, Susan M. | Garcia-Closas, Montserrat | Gaudet, Mia M. | Gaziano, J. Michael | Giles, Graham G. | Gillanders, Elizabeth M. | Giovannucci, Edward L. | Goldin, Lynn | Goldstein, Alisa M. | Haiman, Christopher A. | Hallmans, Goran | Hankinson, Susan E. | Harris, Curtis C. | Henriksson, Roger | Holly, Elizabeth A. | Hong, Yun-Chul | Hoover, Robert N. | Hsiung, Chao A. | Hu, Nan | Hu, Wei | Hunter, David J. | Hutchinson, Amy | Jenab, Mazda | Johansen, Christoffer | Khaw, Kay-Tee | Kim, Hee Nam | Kim, Yeul Hong | Kim, Young Tae | Klein, Alison P. | Klein, Robert | Koh, Woon-Puay | Kolonel, Laurence N. | Kooperberg, Charles | Kraft, Peter | Krogh, Vittorio | Kurtz, Robert C. | LaCroix, Andrea | Lan, Qing | Landi, Maria Teresa | Marchand, Loic Le | Li, Donghui | Liang, Xiaolin | Liao, Linda M. | Lin, Dongxin | Liu, Jianjun | Lissowska, Jolanta | Lu, Lingeng | Magliocco, Anthony M. | Malats, Nuria | Matsuo, Keitaro | McNeill, Lorna H. | McWilliams, Robert R. | Melin, Beatrice S. | Mirabello, Lisa | Moore, Lee | Olson, Sara H. | Orlow, Irene | Park, Jae Yong | Patiño-Garcia, Ana | Peplonska, Beata | Peters, Ulrike | Petersen, Gloria M. | Pooler, Loreall | Prescott, Jennifer | Prokunina-Olsson, Ludmila | Purdue, Mark P. | Qiao, You-Lin | Rajaraman, Preetha | Real, Francisco X. | Riboli, Elio | Risch, Harvey A. | Rodriguez-Santiago, Benjamin | Ruder, Avima M. | Savage, Sharon A. | Schumacher, Fredrick | Schwartz, Ann G. | Schwartz, Kendra L. | Seow, Adeline | Wendy Setiawan, Veronica | Severi, Gianluca | Shen, Hongbing | Sheng, Xin | Shin, Min-Ho | Shu, Xiao-Ou | Silverman, Debra T. | Spitz, Margaret R. | Stevens, Victoria L. | Stolzenberg-Solomon, Rachael | Stram, Daniel | Tang, Ze-Zhong | Taylor, Philip R. | Teras, Lauren R. | Tobias, Geoffrey S. | Van Den Berg, David | Visvanathan, Kala | Wacholder, Sholom | Wang, Jiu-Cun | Wang, Zhaoming | Wentzensen, Nicolas | Wheeler, William | White, Emily | Wiencke, John K. | Wolpin, Brian M. | Wong, Maria Pik | Wu, Chen | Wu, Tangchun | Wu, Xifeng | Wu, Yi-Long | Wunder, Jay S. | Xia, Lucy | Yang, Hannah P. | Yang, Pan-Chyr | Yu, Kai | Zanetti, Krista A. | Zeleniuch-Jacquotte, Anne | Zheng, Wei | Zhou, Baosen | Ziegler, Regina G. | Perez-Jurado, Luis A. | Caporaso, Neil E. | Rothman, Nathaniel | Tucker, Margaret | Dean, Michael C. | Yeager, Meredith | Chanock, Stephen J.
Nature Communications  2016;7:11843.
To investigate large structural clonal mosaicism of chromosome X, we analysed the SNP microarray intensity data of 38,303 women from cancer genome-wide association studies (20,878 cases and 17,425 controls) and detected 124 mosaic X events >2 Mb in 97 (0.25%) women. Here we show rates for X-chromosome mosaicism are four times higher than mean autosomal rates; X mosaic events more often include the entire chromosome and participants with X events more likely harbour autosomal mosaic events. X mosaicism frequency increases with age (0.11% in 50-year olds; 0.45% in 75-year olds), as reported for Y and autosomes. Methylation array analyses of 33 women with X mosaicism indicate events preferentially involve the inactive X chromosome. Our results provide further evidence that the sex chromosomes undergo mosaic events more frequently than autosomes, which could have implications for understanding the underlying mechanisms of mosaic events and their possible contribution to risk for chronic diseases.
It is unclear how often genetic mosaicism of chromosome X arises. Here, the authors examine women with cancer and cancer-free controls and show that X chromosome mosaicism occurs more frequently than on autosomes, especially on the inactive X chromosome, but is not linked to non-haematologic cancer risk
doi:10.1038/ncomms11843
PMCID: PMC4909985  PMID: 27291797
11.  Maternal Circulating Angiogenic Factors in Twin and Singleton Pregnancies 
Objective
The purpose of this study was to compare longitudinally sampled maternal angiogenic proteins between singleton and twin pregnancies.
Study Design
Placental growth factor (PlGF), soluble fms-like tyrosine kinase-1 (sFlt-1), and soluble endoglin (sEng) from healthy pregnant women were quantified at 10, 18, 26 and 35 weeks’ gestation (n=91), and during the third trimester (31–39 weeks) and at delivery (33–41 weeks; n=41). Geometric means and 95% confidence intervals were calculated for gestational age adjusted angiogenic protein concentrations and compared between matched twin and singleton pregnancies.
Results
Maternal sFlt-1 concentrations and the sFlt-1/PlGF ratio were higher in twins than singletons across pregnancy and at delivery, with the greatest differences at week 35 [sFlt-1: 36916 vs. 10151 pg/mL; p<0.0001; sFlt-1/PlGF: 168.4 vs. 29.0; p<0.0001]. Maternal concentrations of s-endoglin also were higher in the third trimester and delivery. Maternal PlGF concentrations were lower in twin than singleton pregnancies at week 35 only [219.2 vs. 350.2 pg/mL; p<0.0001]. Placental weight appeared to be inversely correlated with maternal sFlt-1/PlGF ratio at the end of the pregnancy in both twins and singletons.
Conclusions
Higher maternal anti-angiogenic proteins in twin than singleton pregnancies does not appear to be due to greater placental mass in the former, and may be one explanation for the increased risk of preeclampsia in women carrying multiple gestations. Determining whether women with a history of multiple gestations have an altered cardiovascular disease and breast cancer risk, like those with a history of preeclampsia, is warranted.
doi:10.1016/j.ajog.2014.11.035
PMCID: PMC4416988  PMID: 25434840
twins; singletons; angiogenic balance; pregnancy; sFlt-1; endoglin
12.  Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer 
Couch, Fergus J. | Kuchenbaecker, Karoline B. | Michailidou, Kyriaki | Mendoza-Fandino, Gustavo A. | Nord, Silje | Lilyquist, Janna | Olswold, Curtis | Hallberg, Emily | Agata, Simona | Ahsan, Habibul | Aittomäki, Kristiina | Ambrosone, Christine | Andrulis, Irene L. | Anton-Culver, Hoda | Arndt, Volker | Arun, Banu K. | Arver, Brita | Barile, Monica | Barkardottir, Rosa B. | Barrowdale, Daniel | Beckmann, Lars | Beckmann, Matthias W. | Benitez, Javier | Blank, Stephanie V. | Blomqvist, Carl | Bogdanova, Natalia V. | Bojesen, Stig E. | Bolla, Manjeet K. | Bonanni, Bernardo | Brauch, Hiltrud | Brenner, Hermann | Burwinkel, Barbara | Buys, Saundra S. | Caldes, Trinidad | Caligo, Maria A. | Canzian, Federico | Carpenter, Jane | Chang-Claude, Jenny | Chanock, Stephen J. | Chung, Wendy K. | Claes, Kathleen B. M. | Cox, Angela | Cross, Simon S. | Cunningham, Julie M. | Czene, Kamila | Daly, Mary B. | Damiola, Francesca | Darabi, Hatef | de la Hoya, Miguel | Devilee, Peter | Diez, Orland | Ding, Yuan C. | Dolcetti, Riccardo | Domchek, Susan M. | Dorfling, Cecilia M. | dos-Santos-Silva, Isabel | Dumont, Martine | Dunning, Alison M. | Eccles, Diana M. | Ehrencrona, Hans | Ekici, Arif B. | Eliassen, Heather | Ellis, Steve | Fasching, Peter A. | Figueroa, Jonine | Flesch-Janys, Dieter | Försti, Asta | Fostira, Florentia | Foulkes, William D. | Friebel, Tara | Friedman, Eitan | Frost, Debra | Gabrielson, Marike | Gammon, Marilie D. | Ganz, Patricia A. | Gapstur, Susan M. | Garber, Judy | Gaudet, Mia M. | Gayther, Simon A. | Gerdes, Anne-Marie | Ghoussaini, Maya | Giles, Graham G. | Glendon, Gord | Godwin, Andrew K. | Goldberg, Mark S. | Goldgar, David E. | González-Neira, Anna | Greene, Mark H. | Gronwald, Jacek | Guénel, Pascal | Gunter, Marc | Haeberle, Lothar | Haiman, Christopher A. | Hamann, Ute | Hansen, Thomas V. O. | Hart, Steven | Healey, Sue | Heikkinen, Tuomas | Henderson, Brian E. | Herzog, Josef | Hogervorst, Frans B. L. | Hollestelle, Antoinette | Hooning, Maartje J. | Hoover, Robert N. | Hopper, John L. | Humphreys, Keith | Hunter, David J. | Huzarski, Tomasz | Imyanitov, Evgeny N. | Isaacs, Claudine | Jakubowska, Anna | James, Paul | Janavicius, Ramunas | Jensen, Uffe Birk | John, Esther M. | Jones, Michael | Kabisch, Maria | Kar, Siddhartha | Karlan, Beth Y. | Khan, Sofia | Khaw, Kay-Tee | Kibriya, Muhammad G. | Knight, Julia A. | Ko, Yon-Dschun | Konstantopoulou, Irene | Kosma, Veli-Matti | Kristensen, Vessela | Kwong, Ava | Laitman, Yael | Lambrechts, Diether | Lazaro, Conxi | Lee, Eunjung | Le Marchand, Loic | Lester, Jenny | Lindblom, Annika | Lindor, Noralane | Lindstrom, Sara | Liu, Jianjun | Long, Jirong | Lubinski, Jan | Mai, Phuong L. | Makalic, Enes | Malone, Kathleen E. | Mannermaa, Arto | Manoukian, Siranoush | Margolin, Sara | Marme, Frederik | Martens, John W. M. | McGuffog, Lesley | Meindl, Alfons | Miller, Austin | Milne, Roger L. | Miron, Penelope | Montagna, Marco | Mazoyer, Sylvie | Mulligan, Anna M. | Muranen, Taru A. | Nathanson, Katherine L. | Neuhausen, Susan L. | Nevanlinna, Heli | Nordestgaard, Børge G. | Nussbaum, Robert L. | Offit, Kenneth | Olah, Edith | Olopade, Olufunmilayo I. | Olson, Janet E. | Osorio, Ana | Park, Sue K. | Peeters, Petra H. | Peissel, Bernard | Peterlongo, Paolo | Peto, Julian | Phelan, Catherine M. | Pilarski, Robert | Poppe, Bruce | Pylkäs, Katri | Radice, Paolo | Rahman, Nazneen | Rantala, Johanna | Rappaport, Christine | Rennert, Gad | Richardson, Andrea | Robson, Mark | Romieu, Isabelle | Rudolph, Anja | Rutgers, Emiel J. | Sanchez, Maria-Jose | Santella, Regina M. | Sawyer, Elinor J. | Schmidt, Daniel F. | Schmidt, Marjanka K. | Schmutzler, Rita K. | Schumacher, Fredrick | Scott, Rodney | Senter, Leigha | Sharma, Priyanka | Simard, Jacques | Singer, Christian F. | Sinilnikova, Olga M. | Soucy, Penny | Southey, Melissa | Steinemann, Doris | Stenmark-Askmalm, Marie | Stoppa-Lyonnet, Dominique | Swerdlow, Anthony | Szabo, Csilla I. | Tamimi, Rulla | Tapper, William | Teixeira, Manuel R. | Teo, Soo-Hwang | Terry, Mary B. | Thomassen, Mads | Thompson, Deborah | Tihomirova, Laima | Toland, Amanda E. | Tollenaar, Robert A. E. M. | Tomlinson, Ian | Truong, Thérèse | Tsimiklis, Helen | Teulé, Alex | Tumino, Rosario | Tung, Nadine | Turnbull, Clare | Ursin, Giski | van Deurzen, Carolien H. M. | van Rensburg, Elizabeth J. | Varon-Mateeva, Raymonda | Wang, Zhaoming | Wang-Gohrke, Shan | Weiderpass, Elisabete | Weitzel, Jeffrey N. | Whittemore, Alice | Wildiers, Hans | Winqvist, Robert | Yang, Xiaohong R. | Yannoukakos, Drakoulis | Yao, Song | Zamora, M Pilar | Zheng, Wei | Hall, Per | Kraft, Peter | Vachon, Celine | Slager, Susan | Chenevix-Trench, Georgia | Pharoah, Paul D. P. | Monteiro, Alvaro A. N. | García-Closas, Montserrat | Easton, Douglas F. | Antoniou, Antonis C.
Nature Communications  2016;7:11375.
Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 × 10−8) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci, we performed a meta-analysis of 11 genome-wide association studies (GWAS) consisting of 4,939 ER-negative cases and 14,352 controls, combined with 7,333 ER-negative cases and 42,468 controls and 15,252 BRCA1 mutation carriers genotyped on the iCOGS array. We identify four previously unidentified loci including two loci at 13q22 near KLF5, a 2p23.2 locus near WDR43 and a 2q33 locus near PPIL3 that display genome-wide significant associations with ER-negative breast cancer. In addition, 19 known breast cancer risk loci have genome-wide significant associations and 40 had moderate associations (P<0.05) with ER-negative disease. Using functional and eQTL studies we implicate TRMT61B and WDR43 at 2p23.2 and PPIL3 at 2q33 in ER-negative breast cancer aetiology. All ER-negative loci combined account for ∼11% of familial relative risk for ER-negative disease and may contribute to improved ER-negative and BRCA1 breast cancer risk prediction.
Oestrogen negative breast cancer is associated with a poor prognosis. In this study, the authors perform a meta-analysis of 11 breast cancer genome-wide association studies and identify four new loci associated with oestrogen negative breast cancer risk. These findings may aid in stratifying patients in the clinic.
doi:10.1038/ncomms11375
PMCID: PMC4853421  PMID: 27117709
13.  A Genome-wide Pleiotropy Scan for Prostate Cancer Risk 
European urology  2014;67(4):649-657.
Background
No single-nucleotide polymorphisms (SNPs) specific for aggressive prostate cancer have been identified in genome-wide association studies (GWAS).
Objective
To test if SNPs associated with other traits may also affect the risk of aggressive prostate cancer.
Design, setting, and participants
SNPs implicated in any phenotype other than prostate cancer (p ≤ 10−7) were identified through the catalog of published GWAS and tested in 2891 aggressive prostate cancer cases and 4592 controls from the Breast and Prostate Cancer Cohort Consortium (BPC3). The 40 most significant SNPs were followed up in 4872 aggressive prostate cancer cases and 24 534 controls from the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium.
Outcome measurements and statistical analysis
Odds ratios (ORs) and 95% confidence intervals (CIs) for aggressive prostate cancer were estimated.
Results and limitations
A total of 4666 SNPs were evaluated by the BPC3. Two signals were seen in regions already reported for prostate cancer risk. rs7014346 at 8q24.21 was marginally associated with aggressive prostate cancer in the BPC3 trial (p = 1.6 × 10-6), whereas after meta-analysis by PRACTICAL the summary OR was 1.21 (95%CI 1.16–1.27; p = 3.22 × 10−18). rs9900242 at 17q24.3 was also marginally associated with aggressive disease in the meta-analysis (OR 0.90, 95% CI 0.86–0.94; p = 2.5 × 10−6). Neither of these SNPs remained statistically significant when conditioning on correlated known prostate cancer SNPs. The meta-analysis by BPC3 and PRACTICAL identified a third promising signal, marked by rs16844874 at 2q34, independent of known prostate cancer loci (OR 1.12,95% CI 1.06–1.19; p = 4.67 × 10−5); it has been shown that SNPs correlated with this signal affect glycine concentrations. The main limitation is the heterogeneity in the definition of aggressive prostate cancer between BPC3 and PRACTICAL.
Conclusions
We did not identify new SNPs for aggressive prostate cancer. However, rs16844874 may provide preliminary genetic evidence on the role of the glycine pathway in prostate cancer etiology.
Patient summary
We evaluated whether genetic variants associated with several traits are linked to the risk of aggressive prostate cancer. No new such variants were identified.
doi:10.1016/j.eururo.2014.09.020
PMCID: PMC4359641  PMID: 25277271
Aggressive prostate cancer; Genome-wide association study; Pleiotropy; Single-nucleotide polymorphism; Glycine
14.  Prognostic Significance of Mammographic Density Change after Initiation of Tamoxifen for ER-Positive Breast Cancer 
Background:
A prior analysis of postmenopausal breast cancer patients linked a decline in mammographic density (MD) following the initiation of tamoxifen treatment with improved survival, but excluded premenopausal women, for whom tamoxifen is the primary anti-endocrine therapy. Therefore, we evaluated change in MD after tamoxifen and breast cancer death among patients age 32 to 87 years.
Methods:
This case-control study included 349 estrogen receptor (ER)–positive breast cancer patients who were treated with tamoxifen at Kaiser Permanente Northwest (1990–2008): 97 who died from breast cancer (case patients) and 252 who did not (control patients), matched on age and year at diagnosis and disease stage. Percent MD in the unaffected breast was measured at baseline (mean six months before tamoxifen initiation) and follow-up (mean 12 months after initiation). Associations between change in MD and breast cancer death were estimated using conditional logistic regression.
Results:
Patients in the highest tertile of MD decline had a lower risk of breast cancer death when compared with women in the lowest tertile (odds ratio [OR] = 0.44, 95% confidence interval [CI] = 0.22 to 0.88); results were similar after adjustment for baseline MD (OR = 0.49, 95% CI = 0.23 to 1.02). Reductions in death were observed only among patients in the middle and upper tertiles of baseline MD. Associations did not differ by age, tamoxifen use duration, estrogen and/or progestin use, body mass index, or receipt of chemotherapy or radiotherapy.
Conclusion:
These data suggest that younger and older ER-positive breast cancer patients who experience large reductions in MD following tamoxifen initiation have an improved prognosis.
doi:10.1093/jnci/dju425
PMCID: PMC4334825  PMID: 25663687
15.  Vitamin-D associated genetic variation and risk of breast cancer in the Breast and Prostate Cancer Cohort Consortium (BPC3) 
Background
Two recent genome-wide association studies (GWAS) identified SNPs related to circulating 25-hydroxyvitamin D [25(OH)D] concentration in or near four genes. To examine the hypothesized inverse relationship between vitamin D status and breast cancer, we studied the associations between SNPs in these genes and breast cancer risk in a large pooled study of 9,456 cases and 10,816 controls from six cohorts.
Methods
SNP markers localized to each of four genes (GC, CYP24A1, CYP2R1, and DHCR7) previously associated with 25(OH)D were genotyped and examined both individually and as a 4-SNP polygenic score. Logistic regression was used to estimate the associations between the genetic variants and risk of breast cancer.
Results
We found no association between any of the four SNPs or their polygenic score and breast cancer risk.
Conclusions
Our findings do not support an association between vitamin D status, as reflected by 25(OH)D-related genotypes, and breast cancer risk.
Impact
These findings may contribute to future meta-analyses and scientific review articles, and provide new data about the association between vitamin D-related genes and breast cancer.
doi:10.1158/1055-9965.EPI-14-1127
PMCID: PMC4355227  PMID: 25542828
16.  A genome-wide scan identifies variants in NFIB associated with metastasis in patients with osteosarcoma 
Cancer discovery  2015;5(9):920-931.
Metastasis is the leading cause of death in osteosarcoma patients, the most common pediatric bone malignancy. We conducted a multi-stage genome-wide association study of osteosarcoma metastasis at diagnosis in 935 osteosarcoma patients to determine whether germline genetic variation contributes to risk of metastasis. We identified a SNP, rs7034162, in NFIB significantly associated with metastasis in European osteosarcoma cases, as well as in cases of African and Brazilian ancestry (meta-analysis of all cases: P=1.2×10−9, OR 2.43, 95% CI 1.83–3.24). The risk allele was significantly associated with lowered NFIB expression, which led to increased osteosarcoma cell migration, proliferation, and colony formation. Additionally, a transposon screen in mice identified a significant proportion of osteosarcomas harboring inactivating insertions in Nfib, and had lowered Nfib expression. These data suggest that germline genetic variation at rs7034162 is important in osteosarcoma metastasis, and that NFIB is an osteosarcoma metastasis susceptibility gene.
doi:10.1158/2159-8290.CD-15-0125
PMCID: PMC4560660  PMID: 26084801
osteosarcoma; metastasis; genome-wide association study
17.  Common variation at 2p13.3, 3q29, 7p13 and 17q25.1 associated with susceptibility to pancreatic cancer 
Nature genetics  2015;47(8):911-916.
doi:10.1038/ng.3341
PMCID: PMC4520746  PMID: 26098869
18.  Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33 
Wang, Zhaoming | Zhu, Bin | Zhang, Mingfeng | Parikh, Hemang | Jia, Jinping | Chung, Charles C. | Sampson, Joshua N. | Hoskins, Jason W. | Hutchinson, Amy | Burdette, Laurie | Ibrahim, Abdisamad | Hautman, Christopher | Raj, Preethi S. | Abnet, Christian C. | Adjei, Andrew A. | Ahlbom, Anders | Albanes, Demetrius | Allen, Naomi E. | Ambrosone, Christine B. | Aldrich, Melinda | Amiano, Pilar | Amos, Christopher | Andersson, Ulrika | Andriole, Gerald | Andrulis, Irene L. | Arici, Cecilia | Arslan, Alan A. | Austin, Melissa A. | Baris, Dalsu | Barkauskas, Donald A. | Bassig, Bryan A. | Beane Freeman, Laura E. | Berg, Christine D. | Berndt, Sonja I. | Bertazzi, Pier Alberto | Biritwum, Richard B. | Black, Amanda | Blot, William | Boeing, Heiner | Boffetta, Paolo | Bolton, Kelly | Boutron-Ruault, Marie-Christine | Bracci, Paige M. | Brennan, Paul | Brinton, Louise A. | Brotzman, Michelle | Bueno-de-Mesquita, H. Bas | Buring, Julie E. | Butler, Mary Ann | Cai, Qiuyin | Cancel-Tassin, Geraldine | Canzian, Federico | Cao, Guangwen | Caporaso, Neil E. | Carrato, Alfredo | Carreon, Tania | Carta, Angela | Chang, Gee-Chen | Chang, I-Shou | Chang-Claude, Jenny | Che, Xu | Chen, Chien-Jen | Chen, Chih-Yi | Chen, Chung-Hsing | Chen, Constance | Chen, Kuan-Yu | Chen, Yuh-Min | Chokkalingam, Anand P. | Chu, Lisa W. | Clavel-Chapelon, Francoise | Colditz, Graham A. | Colt, Joanne S. | Conti, David | Cook, Michael B. | Cortessis, Victoria K. | Crawford, E. David | Cussenot, Olivier | Davis, Faith G. | De Vivo, Immaculata | Deng, Xiang | Ding, Ti | Dinney, Colin P. | Di Stefano, Anna Luisa | Diver, W. Ryan | Duell, Eric J. | Elena, Joanne W. | Fan, Jin-Hu | Feigelson, Heather Spencer | Feychting, Maria | Figueroa, Jonine D. | Flanagan, Adrienne M. | Fraumeni, Joseph F. | Freedman, Neal D. | Fridley, Brooke L. | Fuchs, Charles S. | Gago-Dominguez, Manuela | Gallinger, Steven | Gao, Yu-Tang | Gapstur, Susan M. | Garcia-Closas, Montserrat | Garcia-Closas, Reina | Gastier-Foster, Julie M. | Gaziano, J. Michael | Gerhard, Daniela S. | Giffen, Carol A. | Giles, Graham G. | Gillanders, Elizabeth M. | Giovannucci, Edward L. | Goggins, Michael | Gokgoz, Nalan | Goldstein, Alisa M. | Gonzalez, Carlos | Gorlick, Richard | Greene, Mark H. | Gross, Myron | Grossman, H. Barton | Grubb, Robert | Gu, Jian | Guan, Peng | Haiman, Christopher A. | Hallmans, Goran | Hankinson, Susan E. | Harris, Curtis C. | Hartge, Patricia | Hattinger, Claudia | Hayes, Richard B. | He, Qincheng | Helman, Lee | Henderson, Brian E. | Henriksson, Roger | Hoffman-Bolton, Judith | Hohensee, Chancellor | Holly, Elizabeth A. | Hong, Yun-Chul | Hoover, Robert N. | Hosgood, H. Dean | Hsiao, Chin-Fu | Hsing, Ann W. | Hsiung, Chao Agnes | Hu, Nan | Hu, Wei | Hu, Zhibin | Huang, Ming-Shyan | Hunter, David J. | Inskip, Peter D. | Ito, Hidemi | Jacobs, Eric J. | Jacobs, Kevin B. | Jenab, Mazda | Ji, Bu-Tian | Johansen, Christoffer | Johansson, Mattias | Johnson, Alison | Kaaks, Rudolf | Kamat, Ashish M. | Kamineni, Aruna | Karagas, Margaret | Khanna, Chand | Khaw, Kay-Tee | Kim, Christopher | Kim, In-Sam | Kim, Jin Hee | Kim, Yeul Hong | Kim, Young-Chul | Kim, Young Tae | Kang, Chang Hyun | Jung, Yoo Jin | Kitahara, Cari M. | Klein, Alison P. | Klein, Robert | Kogevinas, Manolis | Koh, Woon-Puay | Kohno, Takashi | Kolonel, Laurence N. | Kooperberg, Charles | Kratz, Christian P. | Krogh, Vittorio | Kunitoh, Hideo | Kurtz, Robert C. | Kurucu, Nilgun | Lan, Qing | Lathrop, Mark | Lau, Ching C. | Lecanda, Fernando | Lee, Kyoung-Mu | Lee, Maxwell P. | Le Marchand, Loic | Lerner, Seth P. | Li, Donghui | Liao, Linda M. | Lim, Wei-Yen | Lin, Dongxin | Lin, Jie | Lindstrom, Sara | Linet, Martha S. | Lissowska, Jolanta | Liu, Jianjun | Ljungberg, Börje | Lloreta, Josep | Lu, Daru | Ma, Jing | Malats, Nuria | Mannisto, Satu | Marina, Neyssa | Mastrangelo, Giuseppe | Matsuo, Keitaro | McGlynn, Katherine A. | McKean-Cowdin, Roberta | McNeill, Lorna H. | McWilliams, Robert R. | Melin, Beatrice S. | Meltzer, Paul S. | Mensah, James E. | Miao, Xiaoping | Michaud, Dominique S. | Mondul, Alison M. | Moore, Lee E. | Muir, Kenneth | Niwa, Shelley | Olson, Sara H. | Orr, Nick | Panico, Salvatore | Park, Jae Yong | Patel, Alpa V. | Patino-Garcia, Ana | Pavanello, Sofia | Peeters, Petra H. M. | Peplonska, Beata | Peters, Ulrike | Petersen, Gloria M. | Picci, Piero | Pike, Malcolm C. | Porru, Stefano | Prescott, Jennifer | Pu, Xia | Purdue, Mark P. | Qiao, You-Lin | Rajaraman, Preetha | Riboli, Elio | Risch, Harvey A. | Rodabough, Rebecca J. | Rothman, Nathaniel | Ruder, Avima M. | Ryu, Jeong-Seon | Sanson, Marc | Schned, Alan | Schumacher, Fredrick R. | Schwartz, Ann G. | Schwartz, Kendra L. | Schwenn, Molly | Scotlandi, Katia | Seow, Adeline | Serra, Consol | Serra, Massimo | Sesso, Howard D. | Severi, Gianluca | Shen, Hongbing | Shen, Min | Shete, Sanjay | Shiraishi, Kouya | Shu, Xiao-Ou | Siddiq, Afshan | Sierrasesumaga, Luis | Sierri, Sabina | Loon Sihoe, Alan Dart | Silverman, Debra T. | Simon, Matthias | Southey, Melissa C. | Spector, Logan | Spitz, Margaret | Stampfer, Meir | Stattin, Par | Stern, Mariana C. | Stevens, Victoria L. | Stolzenberg-Solomon, Rachael Z. | Stram, Daniel O. | Strom, Sara S. | Su, Wu-Chou | Sund, Malin | Sung, Sook Whan | Swerdlow, Anthony | Tan, Wen | Tanaka, Hideo | Tang, Wei | Tang, Ze-Zhang | Tardon, Adonina | Tay, Evelyn | Taylor, Philip R. | Tettey, Yao | Thomas, David M. | Tirabosco, Roberto | Tjonneland, Anne | Tobias, Geoffrey S. | Toro, Jorge R. | Travis, Ruth C. | Trichopoulos, Dimitrios | Troisi, Rebecca | Truelove, Ann | Tsai, Ying-Huang | Tucker, Margaret A. | Tumino, Rosario | Van Den Berg, David | Van Den Eeden, Stephen K. | Vermeulen, Roel | Vineis, Paolo | Visvanathan, Kala | Vogel, Ulla | Wang, Chaoyu | Wang, Chengfeng | Wang, Junwen | Wang, Sophia S. | Weiderpass, Elisabete | Weinstein, Stephanie J. | Wentzensen, Nicolas | Wheeler, William | White, Emily | Wiencke, John K. | Wolk, Alicja | Wolpin, Brian M. | Wong, Maria Pik | Wrensch, Margaret | Wu, Chen | Wu, Tangchun | Wu, Xifeng | Wu, Yi-Long | Wunder, Jay S. | Xiang, Yong-Bing | Xu, Jun | Yang, Hannah P. | Yang, Pan-Chyr | Yatabe, Yasushi | Ye, Yuanqing | Yeboah, Edward D. | Yin, Zhihua | Ying, Chen | Yu, Chong-Jen | Yu, Kai | Yuan, Jian-Min | Zanetti, Krista A. | Zeleniuch-Jacquotte, Anne | Zheng, Wei | Zhou, Baosen | Mirabello, Lisa | Savage, Sharon A. | Kraft, Peter | Chanock, Stephen J. | Yeager, Meredith | Landi, Maria Terese | Shi, Jianxin | Chatterjee, Nilanjan | Amundadottir, Laufey T.
Human Molecular Genetics  2014;23(24):6616-6633.
Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10−39; Region 3: rs2853677, P = 3.30 × 10−36 and PConditional = 2.36 × 10−8; Region 4: rs2736098, P = 3.87 × 10−12 and PConditional = 5.19 × 10−6, Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10−6; and Region 6: rs10069690, P = 7.49 × 10−15 and PConditional = 5.35 × 10−7) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10−18 and PConditional = 7.06 × 10−16). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.
doi:10.1093/hmg/ddu363
PMCID: PMC4240198  PMID: 25027329
19.  Two Susceptibility Loci Identified for Prostate Cancer Aggressiveness 
Nature communications  2015;6:6889.
Most men diagnosed with prostate cancer will experience indolent disease; hence discovering genetic variants that distinguish aggressive from non-aggressive 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 non-aggressive prostate cancer compared to controls (P=0.57). The proximity of these loci to genes involved in vascular disease suggests potential biological mechanisms worthy of further investigation.
doi:10.1038/ncomms7889
PMCID: PMC4422072  PMID: 25939597
20.  Sex steroid hormone metabolism in relation to risk of aggressive prostate cancer 
Background
The combined action of androgens and estrogens—specifically their balance—may play a role in prostate carcinogenesis but existing evidence is sparse and inconsistent. We investigated associations between serum sex steroid hormones, including estrogen metabolites, and risk of aggressive prostate cancer.
Methods
In a case-control study nested within the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial cohort we measured serum estrone, estradiol and 13 estrogen metabolites, in the 2-, 4, or 16-hydroxylation pathways, using a liquid chromatography-tandem mass spectrometry assay. Cases (n=195) were non-Hispanic white men aged 55–70 years when diagnosed with aggressive prostate cancer (stage III or IV and/or Gleason ≥7). Controls (n=195) were non-Hispanic white men without prostate cancer who were frequency-matched to cases by age and year at blood draw, time since baseline screen. Only men with serum testosterone and sex hormone-binding globulin measured previously were eligible. Logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (95%CI).
Results
Risk of aggressive prostate cancer was strongly inversely associated with estradiol:testosterone ratio (OR4th quartile vs. 1st =0.27, 95% CI 0.12–0.59, p trend=0.003) and positively associated with 2:16α-hydroxyestrone ratio (OR4th quartile vs. 1st =2.44, 95% CI 1.34–4.45, p trend=0.001). Estradiol, estrone and estrogen metabolites were unrelated to risk.
Conclusions
Our findings suggest that sex steroid hormones, specifically the estrogen-androgen balance, may be important in the development of aggressive prostate cancer.
Impact
Improved understanding of the hormonal etiology of prostate cancer is critical for prevention and therapeutic interventions.
doi:10.1158/1055-9965.EPI-14-0700
PMCID: PMC4221438  PMID: 25178985
Prostate Cancer; Sex Steroid Hormones; Estrogen to Testosterone Ratio
21.  Factors associated with oxidative stress and cancer risk in the Breast and Prostate Cancer Cohort Consortium (BPC3) 
Free radical research  2014;48(3):380-386.
Both endogenous factors (genomic variations) and exogenous factors (environmental exposures, lifestyle) impact the balance of reactive oxygen species (ROS). Variants of the ND3 (rs2853826; G10398A) gene of the mitochondrial genome, manganese superoxide dismutase (MnSOD; rs4880 Val16Ala) and glutathione peroxidase (GPX-1; rs1050450 Pro198Leu) are purported to have functional effects on regulation of ROS balance. In this study, we examined associations of breast and prostate cancer risk and survival with these variants, and interactions between rs4880 - rs1050450 and alcohol consumption - rs2853826. Nested case-control studies were conducted in the Breast and Prostate Cancer Cohort Consortium (BPC3), consisting of nine cohorts. The analyses included over 10726 post-menopausal breast and 7532 prostate cancer cases with matched controls. Logistic regression models were used to evaluate associations with risk, and proportional hazard models were used for survival outcomes. We did not observe significant interactions between polymorphisms in MnSOD and GPX-1, or between mitochondrial polymorphisms and alcohol intake and risk of either breast (p-interaction of 0.34 and 0.98 respectively) or prostate cancer (p-interaction of 0.49 and 0.50 respectively). We observed a weak inverse association between prostate cancer risk and GPX-1 Leu198Leu carriers (OR 0.87, 95% CI 0.79 – 0.97, p = 0.01). Overall survival among women with breast cancer was inversely associated with G10398 carriers who consumed alcohol (HR 0.66 95% CI 0.49 – 0.88). Given the high power in our study, it is unlikely that interactions tested have more than moderate effects on breast or prostate cancer risk. Observed associations need both further epidemiological and biological confirmation.
doi:10.3109/10715762.2013.875168
PMCID: PMC4591275  PMID: 24437375
MnSOD; GPX-1; mitochondria; alcohol; breast; prostate
22.  Post-GWAS gene–environment interplay in breast cancer: results from the Breast and Prostate Cancer Cohort Consortium and a meta-analysis on 79 000 women 
Human Molecular Genetics  2014;23(19):5260-5270.
We studied the interplay between 39 breast cancer (BC) risk SNPs and established BC risk (body mass index, height, age at menarche, parity, age at menopause, smoking, alcohol and family history of BC) and prognostic factors (TNM stage, tumor grade, tumor size, age at diagnosis, estrogen receptor status and progesterone receptor status) as joint determinants of BC risk. We used a nested case–control design within the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium (BPC3), with 16 285 BC cases and 19 376 controls. We performed stratified analyses for both the risk and prognostic factors, testing for heterogeneity for the risk factors, and case–case comparisons for differential associations of polymorphisms by subgroups of the prognostic factors. We analyzed multiplicative interactions between the SNPs and the risk factors. Finally, we also performed a meta-analysis of the interaction ORs from BPC3 and the Breast Cancer Association Consortium. After correction for multiple testing, no significant interaction between the SNPs and the established risk factors in the BPC3 study was found. The meta-analysis showed a suggestive interaction between smoking status and SLC4A7-rs4973768 (Pinteraction = 8.84 × 10−4) which, although not significant after considering multiple comparison, has a plausible biological explanation. In conclusion, in this study of up to almost 79 000 women we can conclusively exclude any novel major interactions between genome-wide association studies hits and the epidemiologic risk factors taken into consideration, but we propose a suggestive interaction between smoking status and SLC4A7-rs4973768 that if further replicated could help our understanding in the etiology of BC.
doi:10.1093/hmg/ddu223
PMCID: PMC4159150  PMID: 24895409
23.  Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer 
Michailidou, Kyriaki | Beesley, Jonathan | Lindstrom, Sara | Canisius, Sander | Dennis, Joe | Lush, Michael | Maranian, Mel J | Bolla, Manjeet K | Wang, Qin | Shah, Mitul | Perkins, Barbara J | Czene, Kamila | Eriksson, Mikael | Darabi, Hatef | Brand, Judith S | Bojesen, Stig E | Nordestgaard, Børge G | Flyger, Henrik | Nielsen, Sune F | Rahman, Nazneen | Turnbull, Clare | Fletcher, Olivia | Peto, Julian | Gibson, Lorna | dos-Santos-Silva, Isabel | Chang-Claude, Jenny | Flesch-Janys, Dieter | Rudolph, Anja | Eilber, Ursula | Behrens, Sabine | Nevanlinna, Heli | Muranen, Taru A | Aittomäki, Kristiina | Blomqvist, Carl | Khan, Sofia | Aaltonen, Kirsimari | Ahsan, Habibul | Kibriya, Muhammad G | Whittemore, Alice S | John, Esther M | Malone, Kathleen E | Gammon, Marilie D | Santella, Regina M | Ursin, Giske | Makalic, Enes | Schmidt, Daniel F | Casey, Graham | Hunter, David J | Gapstur, Susan M | Gaudet, Mia M | Diver, W Ryan | Haiman, Christopher A | Schumacher, Fredrick | Henderson, Brian E | Le Marchand, Loic | Berg, Christine D | Chanock, Stephen | Figueroa, Jonine | Hoover, Robert N | Lambrechts, Diether | Neven, Patrick | Wildiers, Hans | van Limbergen, Erik | Schmidt, Marjanka K | Broeks, Annegien | Verhoef, Senno | Cornelissen, Sten | Couch, Fergus J | Olson, Janet E | Hallberg, Emily | Vachon, Celine | Waisfisz, Quinten | Meijers-Heijboer, Hanne | Adank, Muriel A | van der Luijt, Rob B | Li, Jingmei | Liu, Jianjun | Humphreys, Keith | Kang, Daehee | Choi, Ji-Yeob | Park, Sue K | Yoo, Keun-Young | Matsuo, Keitaro | Ito, Hidemi | Iwata, Hiroji | Tajima, Kazuo | Guénel, Pascal | Truong, Thérèse | Mulot, Claire | Sanchez, Marie | Burwinkel, Barbara | Marme, Frederik | Surowy, Harald | Sohn, Christof | Wu, Anna H | Tseng, Chiu-chen | Van Den Berg, David | Stram, Daniel O | González-Neira, Anna | Benitez, Javier | Zamora, M Pilar | Perez, Jose Ignacio Arias | Shu, Xiao-Ou | Lu, Wei | Gao, Yu-Tang | Cai, Hui | Cox, Angela | Cross, Simon S | Reed, Malcolm WR | Andrulis, Irene L | Knight, Julia A | Glendon, Gord | Mulligan, Anna Marie | Sawyer, Elinor J | Tomlinson, Ian | Kerin, Michael J | Miller, Nicola | Lindblom, Annika | Margolin, Sara | Teo, Soo Hwang | Yip, Cheng Har | Taib, Nur Aishah Mohd | TAN, Gie-Hooi | Hooning, Maartje J | Hollestelle, Antoinette | Martens, John WM | Collée, J Margriet | Blot, William | Signorello, Lisa B | Cai, Qiuyin | Hopper, John L | Southey, Melissa C | Tsimiklis, Helen | Apicella, Carmel | Shen, Chen-Yang | Hsiung, Chia-Ni | Wu, Pei-Ei | Hou, Ming-Feng | Kristensen, Vessela N | Nord, Silje | Alnaes, Grethe I Grenaker | Giles, Graham G | Milne, Roger L | McLean, Catriona | Canzian, Federico | Trichopoulos, Dmitrios | Peeters, Petra | Lund, Eiliv | Sund, Malin | Khaw, Kay-Tee | Gunter, Marc J | Palli, Domenico | Mortensen, Lotte Maxild | Dossus, Laure | Huerta, Jose-Maria | Meindl, Alfons | Schmutzler, Rita K | Sutter, Christian | Yang, Rongxi | Muir, Kenneth | Lophatananon, Artitaya | Stewart-Brown, Sarah | Siriwanarangsan, Pornthep | Hartman, Mikael | Miao, Hui | Chia, Kee Seng | Chan, Ching Wan | Fasching, Peter A | Hein, Alexander | Beckmann, Matthias W | Haeberle, Lothar | Brenner, Hermann | Dieffenbach, Aida Karina | Arndt, Volker | Stegmaier, Christa | Ashworth, Alan | Orr, Nick | Schoemaker, Minouk J | Swerdlow, Anthony J | Brinton, Louise | Garcia-Closas, Montserrat | Zheng, Wei | Halverson, Sandra L | Shrubsole, Martha | Long, Jirong | Goldberg, Mark S | Labrèche, France | Dumont, Martine | Winqvist, Robert | Pylkäs, Katri | Jukkola-Vuorinen, Arja | Grip, Mervi | Brauch, Hiltrud | Hamann, Ute | Brüning, Thomas | Radice, Paolo | Peterlongo, Paolo | Manoukian, Siranoush | Bernard, Loris | Bogdanova, Natalia V | Dörk, Thilo | Mannermaa, Arto | Kataja, Vesa | Kosma, Veli-Matti | Hartikainen, Jaana M | Devilee, Peter | Tollenaar, Robert AEM | Seynaeve, Caroline | Van Asperen, Christi J | Jakubowska, Anna | Lubinski, Jan | Jaworska, Katarzyna | Huzarski, Tomasz | Sangrajrang, Suleeporn | Gaborieau, Valerie | Brennan, Paul | McKay, James | Slager, Susan | Toland, Amanda E | Ambrosone, Christine B | Yannoukakos, Drakoulis | Kabisch, Maria | Torres, Diana | Neuhausen, Susan L | Anton-Culver, Hoda | Luccarini, Craig | Baynes, Caroline | Ahmed, Shahana | Healey, Catherine S | Tessier, Daniel C | Vincent, Daniel | Bacot, Francois | Pita, Guillermo | Alonso, M Rosario | Álvarez, Nuria | Herrero, Daniel | Simard, Jacques | Pharoah, Paul PDP | Kraft, Peter | Dunning, Alison M | Chenevix-Trench, Georgia | Hall, Per | Easton, Douglas F
Nature genetics  2015;47(4):373-380.
Genome wide association studies (GWAS) and large scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ~14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS comprising of 15,748 breast cancer cases and 18,084 controls, and 46,785 cases and 42,892 controls from 41 studies genotyped on a 200K custom array (iCOGS). Analyses were restricted to women of European ancestry. Genotypes for more than 11M SNPs were generated by imputation using the 1000 Genomes Project reference panel. We identified 15 novel loci associated with breast cancer at P<5×10−8. Combining association analysis with ChIP-Seq data in mammary cell lines and ChIA-PET chromatin interaction data in ENCODE, we identified likely target genes in two regions: SETBP1 on 18q12.3 and RNF115 and PDZK1 on 1q21.1. One association appears to be driven by an amino-acid substitution in EXO1.
doi:10.1038/ng.3242
PMCID: PMC4549775  PMID: 25751625
24.  Pooling prospective studies to investigate the etiology of second cancers 
Background
With over 13 million cancer survivors in the United States today, second cancers are of rapidly growing importance. However, data on non-treatment risk factors for second cancers are sparse. We explored the feasibility of pooling data from cohort studies of cancer incidence to investigate second cancer etiology.
Methods
We combined data from five prospective studies including more than 800,000 individuals. We compared study designs and populations; evaluated availability of and ability to harmonize risk factor data; compared incidence and survival for common first primary malignancies and incidence of second primary malignancies; and estimated sample size requirements.
Results
Overall, 96,513 incident, first primary malignancies were diagnosed during 1985–2009. Incidence rates and survival following the first primary varied among the cohorts, but most of the heterogeneity could be explained by characteristics of the study populations (age, sex, smoking, and screening rates). 7,890 second primary cancers (excluding original primary site) were identified, yielding sufficient statistical power (≥80%) for detecting modest associations with risk of all second cancers among survivors of common first primary malignancies (e.g., colorectal cancer); however, there were insufficient events for studying survivors of rarer cancers or identifying risk factors for specific second cancers.
Conclusions
Pooling data from cohort studies to investigate non-treatment risk factors for second primary cancers appears feasible but there are important methodological issues - some of which are barriers to specific research questions - that require special attention.
Impact
Increased understanding of non-treatment risk factors for second cancers will provide valuable prevention and surveillance information.
doi:10.1158/1055-9965.EPI-14-0191
PMCID: PMC4119533  PMID: 24832874
25.  Genetic risk variants associated with in situ breast cancer 
Introduction
Breast cancer in situ (BCIS) diagnoses, a precursor lesion for invasive breast cancer, comprise about 20 % of all breast cancers (BC) in countries with screening programs. Family history of BC is considered one of the strongest risk factors for BCIS.
Methods
To evaluate the association of BC susceptibility loci with BCIS risk, we genotyped 39 single nucleotide polymorphisms (SNPs), associated with risk of invasive BC, in 1317 BCIS cases, 10,645 invasive BC cases, and 14,006 healthy controls in the National Cancer Institute’s Breast and Prostate Cancer Cohort Consortium (BPC3). Using unconditional logistic regression models adjusted for age and study, we estimated the association of SNPs with BCIS using two different comparison groups: healthy controls and invasive BC subjects to investigate whether BCIS and BC share a common genetic profile.
Results
We found that five SNPs (CDKN2BAS-rs1011970, FGFR2-rs3750817, FGFR2-rs2981582, TNRC9-rs3803662, 5p12-rs10941679) were significantly associated with BCIS risk (P value adjusted for multiple comparisons <0.0016). Comparing invasive BC and BCIS, the largest difference was for CDKN2BAS-rs1011970, which showed a positive association with BCIS (OR = 1.24, 95 % CI: 1.11–1.38, P = 1.27 x 10−4) and no association with invasive BC (OR = 1.03, 95 % CI: 0.99–1.07, P = 0.06), with a P value for case-case comparison of 0.006. Subgroup analyses investigating associations with ductal carcinoma in situ (DCIS) found similar associations, albeit less significant (OR = 1.25, 95 % CI: 1.09–1.42, P = 1.07 x 10−3). Additional risk analyses showed significant associations with invasive disease at the 0.05 level for 28 of the alleles and the OR estimates were consistent with those reported by other studies.
Conclusions
Our study adds to the knowledge that several of the known BC susceptibility loci are risk factors for both BCIS and invasive BC, with the possible exception of rs1011970, a putatively functional SNP situated in the CDKN2BAS gene that may be a specific BCIS susceptibility locus.
Electronic supplementary material
The online version of this article (doi:10.1186/s13058-015-0596-x) contains supplementary material, which is available to authorized users.
doi:10.1186/s13058-015-0596-x
PMCID: PMC4487950  PMID: 26070784

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