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4. Lifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis

Author

Fu, Zhuxuan, Brooks, Maria Mori, Irvin, Sarah, Jordan, Susan, Aben, Katja KH, Anton-Culver, Hoda, Bandera, Elisa V, Beckmann, Matthias W, Berchuck, Andrew, Brooks-Wilson, Angela, Chang-Claude, Jenny, Cook, Linda S, Cramer, Daniel W, Cushing-Haugen, Kara L, Doherty, Jennifer A, Ekici, Arif B, Fasching, Peter A, Fortner, Renée T, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Giles, Graham G, Goode, Ellen L, Goodman, Marc T, Group, AOCS, Harris, Holly R, Hein, Alexander, Kaaks, Rudolf, Kiemeney, Lambertus A, Köbel, Martin, Kotsopoulos, Joanne, Le, Nhu D, Lee, Alice W, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, Menon, Usha, Milne, Roger L, Moysich, Kirsten B, Pearce, Celeste Leigh, Pike, Malcolm C, Qin, Bo, Ramus, Susan J, Riggan, Marjorie J, Rothstein, Joseph H, Schildkraut, Joellen M, Sieh, Weiva, Sutphen, Rebecca, Terry, Kathryn L, Thompson, Pamela J, Titus, Linda, van Altena, Anne M, White, Emily, Whittemore, Alice S, Wu, Anna H, Zheng, Wei, Ziogas, Argyrios, Taylor, Sarah E, Tang, Lu, Songer, Thomas, Wentzensen, Nicolas, Webb, Penelope M, Risch, Harvey A, and Modugno, Francesmary

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Clinical Research, Women's Health, Rare Diseases, Ovarian Cancer, Cancer, Pregnancy, Humans, Female, Carcinoma, Ovarian Epithelial, Ovarian Neoplasms, Risk Factors, Parity, Contraceptives, Oral, Case-Control Studies, AOCS Group, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundThe role of ovulation in epithelial ovarian cancer (EOC) is supported by the consistent protective effects of parity and oral contraceptive use. Whether these factors protect through anovulation alone remains unclear. We explored the association between lifetime ovulatory years (LOY) and EOC.MethodsLOY was calculated using 12 algorithms. Odds ratios (ORs) and 95% confidence intervals (CIs) estimated the association between LOY or LOY components and EOC among 26 204 control participants and 21 267 case patients from 25 studies. To assess whether LOY components act through ovulation suppression alone, we compared beta coefficients obtained from regression models with expected estimates assuming 1 year of ovulation suppression has the same effect regardless of source.ResultsLOY was associated with increased EOC risk (OR per year increase = 1.014, 95% CI = 1.009 to 1.020 to OR per year increase = 1.044, 95% CI = 1.041 to 1.048). Individual LOY components, except age at menarche, also associated with EOC. The estimated model coefficient for oral contraceptive use and pregnancies were 4.45 times and 12- to 15-fold greater than expected, respectively. LOY was associated with high-grade serous, low-grade serous, endometrioid, and clear cell histotypes (ORs per year increase = 1.054, 1.040, 1.065, and 1.098, respectively) but not mucinous tumors. Estimated coefficients of LOY components were close to expected estimates for high-grade serous but larger than expected for low-grade serous, endometrioid, and clear cell histotypes.ConclusionsLOY is positively associated with nonmucinous EOC. Differences between estimated and expected model coefficients for LOY components suggest factors beyond ovulation underlie the associations between LOY components and EOC in general and for non-HGSOC.

Published
2023

8. Shortwave infrared polymethine fluorophores matched to excitation lasers enable non-invasive, multicolour in vivo imaging in real time

Author

Cosco, Emily D, Spearman, Anthony L, Ramakrishnan, Shyam, Lingg, Jakob GP, Saccomano, Mara, Pengshung, Monica, Arús, Bernardo A, Wong, Kelly CY, Glasl, Sarah, Ntziachristos, Vasilis, Warmer, Martin, McLaughlin, Ryan R, Bruns, Oliver T, and Sletten, Ellen M

Subjects
Bioengineering, Animals, Benzopyrans, Contrast Media, Female, Fluorescent Dyes, Infrared Rays, Lasers, Mice, Nude, Optical Imaging, Chemical Sciences, Organic Chemistry
Abstract

High-resolution, multiplexed experiments are a staple in cellular imaging. Analogous experiments in animals are challenging, however, due to substantial scattering and autofluorescence in tissue at visible (350-700 nm) and near-infrared (700-1,000 nm) wavelengths. Here, we enable real-time, non-invasive multicolour imaging experiments in animals through the design of optical contrast agents for the shortwave infrared (SWIR, 1,000-2,000 nm) region and complementary advances in imaging technologies. We developed tunable, SWIR-emissive flavylium polymethine dyes and established relationships between structure and photophysical properties for this class of bright SWIR contrast agents. In parallel, we designed an imaging system with variable near-infrared/SWIR excitation and single-channel detection, facilitating video-rate multicolour SWIR imaging for optically guided surgery and imaging of awake and moving mice with multiplexed detection. Optimized dyes matched to 980 nm and 1,064 nm lasers, combined with the clinically approved indocyanine green, enabled real-time, three-colour imaging with high temporal and spatial resolutions.

Published
2020

10. 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, Genetics, Rare Diseases, Women's Health, Infertility, Ovarian Cancer, Human Genome, Cancer, Contraception/Reproduction, 2.1 Biological and endogenous factors, 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

12. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author

Dareng, Eileen O., Tyrer, Jonathan P., Barnes, Daniel R., Jones, Michelle R., Yang, Xin, Aben, Katja K. H., Adank, Muriel A., Agata, Simona, Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Aravantinos, Gerasimos, Arun, Banu K., Augustinsson, Annelie, Balmaña, Judith, Bandera, Elisa V., Barkardottir, Rosa B., Barrowdale, Daniel, Beckmann, Matthias W., Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q., Bjorge, Line, Black, Amanda, Bogdanova, Natalia V., Bonanni, Bernardo, Borg, Ake, Brenton, James D., Budzilowska, Agnieszka, Butzow, Ralf, Buys, Saundra S., Cai, Hui, Caligo, Maria A., Campbell, Ian, Cannioto, Rikki, Cassingham, Hayley, Chang-Claude, Jenny, Chanock, Stephen J., Chen, Kexin, Chiew, Yoke-Eng, Chung, Wendy K., Claes, Kathleen B. M., Colonna, Sarah, Cook, Linda S., Couch, Fergus J., Daly, Mary B., Dao, Fanny, Davies, Eleanor, de la Hoya, Miguel, de Putter, Robin, Dennis, Joe, DePersia, Allison, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer A., Domchek, Susan M., Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana M., Eliassen, Heather A., Engel, Christoph, Evans, Gareth D., Fasching, Peter A., Flanagan, James M., Fortner, Renée T., Machackova, Eva, Friedman, Eitan, Ganz, Patricia A., Garber, Judy, Gensini, Francesca, Giles, Graham G., Glendon, Gord, Godwin, Andrew K., Goodman, Marc T., Greene, Mark H., Gronwald, Jacek, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hamann, Ute, Hansen, Thomas V. O., Harris, Holly R., Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle A. T., Høgdall, Estrid, Høgdall, Claus K., Hopper, John L., Huang, Ruea-Yea, Huff, Chad, Hulick, Peter J., Huntsman, David G., Imyanitov, Evgeny N., Isaacs, Claudine, Jakubowska, Anna, James, Paul A., Janavicius, Ramunas, Jensen, Allan, Johannsson, Oskar Th., John, Esther M., Jones, Michael E., Kang, Daehee, Karlan, Beth Y., Karnezis, Anthony, Kelemen, Linda E., Khusnutdinova, Elza, Kiemeney, Lambertus A., Kim, Byoung-Gie, Kjaer, Susanne K., Komenaka, Ian, Kupryjanczyk, Jolanta, Kurian, Allison W., Kwong, Ava, Lambrechts, Diether, Larson, Melissa C., Lazaro, Conxi, Le, Nhu D., Leslie, Goska, Lester, Jenny, Lesueur, Fabienne, Levine, Douglas A., Li, Lian, Li, Jingmei, Loud, Jennifer T., Lu, Karen H., Lubiński, Jan, Mai, Phuong L., Manoukian, Siranoush, Marks, Jeffrey R., Matsuno, Rayna Kim, Matsuo, Keitaro, May, Taymaa, McGuffog, Lesley, McLaughlin, John R., McNeish, Iain A., Mebirouk, Noura, Menon, Usha, Miller, Austin, Milne, Roger L., Minlikeeva, Albina, Modugno, Francesmary, Montagna, Marco, Moysich, Kirsten B., Munro, Elizabeth, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Yie, Joanne Ngeow Yuen, Nielsen, Henriette Roed, Nielsen, Finn C., Nikitina-Zake, Liene, Odunsi, Kunle, Offit, Kenneth, Olah, Edith, Olbrecht, Siel, Olopade, Olufunmilayo I., Olson, Sara H., Olsson, Håkan, Osorio, Ana, Papi, Laura, Park, Sue K., Parsons, Michael T., Pathak, Harsha, Pedersen, Inge Sokilde, Peixoto, Ana, Pejovic, Tanja, Perez-Segura, Pedro, Permuth, Jennifer B., Peshkin, Beth, Peterlongo, Paolo, Piskorz, Anna, Prokofyeva, Darya, Radice, Paolo, Rantala, Johanna, Riggan, Marjorie J., Risch, Harvey A., Rodriguez-Antona, Cristina, Ross, Eric, Rossing, Mary Anne, Runnebaum, Ingo, Sandler, Dale P., Santamariña, Marta, Soucy, Penny, Schmutzler, Rita K., Setiawan, V. Wendy, Shan, Kang, Sieh, Weiva, Simard, Jacques, Singer, Christian F., Sokolenko, Anna P., Song, Honglin, Southey, Melissa C., Steed, Helen, Stoppa-Lyonnet, Dominique, Sutphen, Rebecca, Swerdlow, Anthony J., Tan, Yen Yen, Teixeira, Manuel R., Teo, Soo Hwang, Terry, Kathryn L., Terry, Mary Beth, Thomassen, Mads, Thompson, Pamela J., Thomsen, Liv Cecilie Vestrheim, Thull, Darcy L., Tischkowitz, Marc, Titus, Linda, Toland, Amanda E., Torres, Diana, Trabert, Britton, Travis, Ruth, Tung, Nadine, Tworoger, Shelley S., Valen, Ellen, van Altena, Anne M., van der Hout, Annemieke H., Van Nieuwenhuysen, Els, van Rensburg, Elizabeth J., Vega, Ana, Edwards, Digna Velez, Vierkant, Robert A., Wang, Frances, Wappenschmidt, Barbara, Webb, Penelope M., Weinberg, Clarice R., Weitzel, Jeffrey N., Wentzensen, Nicolas, White, Emily, Whittemore, Alice S., Winham, Stacey J., Wolk, Alicja, Woo, Yin-Ling, Wu, Anna H., Yan, Li, Yannoukakos, Drakoulis, Zavaglia, Katia M., Zheng, Wei, Ziogas, Argyrios, Zorn, Kristin K., Kleibl, Zdenek, Easton, Douglas, Lawrenson, Kate, DeFazio, Anna, Sellers, Thomas A., Ramus, Susan J., Pearce, Celeste L., Monteiro, Alvaro N., Cunningham, Julie, Goode, Ellen L., Schildkraut, Joellen M., Berchuck, Andrew, Chenevix-Trench, Georgia, Gayther, Simon A., Antoniou, Antonis C., and Pharoah, Paul D. P.

Published
2022
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13. Alcohol consumption and lung cancer risk: A pooled analysis from the International Lung Cancer Consortium and the SYNERGY study

Author

Brenner, Darren R, Fehringer, Gord, Zhang, Zuo-Feng, Lee, Yuan-Chin Amy, Meyers, Travis, Matsuo, Keitaro, Ito, Hidemi, Vineis, Paolo, Stucker, Isabelle, Boffetta, Paolo, Brennan, Paul, Christiani, David C, Diao, Nancy, Hong, Yun-Chul, Landi, Maria T, Morgenstern, Hal, Schwartz, Ann G, Rennert, Gad, Saliba, Walid, McLaughlin, John R, Harris, Curtis C, Orlow, Irene, Dios, Juan M Barros, Raviña, Alberto Ruano, Siemiatycki, Jack, Koushik, Anita, Cote, Michele, Lazarus, Philip, Fernandez-Tardon, Guillermo, Tardon, Adonina, Le Marchand, Loïc, Brenner, Hermann, Saum, Kai-Uwe, Duell, Eric J, Andrew, Angeline S, Consonni, Dario, Olsson, Ann, Hung, Rayjean J, and Straif, Kurt

Subjects
Biomedical and Clinical Sciences, Epidemiology, Health Sciences, Public Health, Oncology and Carcinogenesis, Cancer, Alcoholism, Alcohol Use and Health, Lung Cancer, Lung, Prevention, Substance Misuse, 2.2 Factors relating to the physical environment, Aetiology, Stroke, Good Health and Well Being, Adenocarcinoma, Aged, Alcohol Drinking, Alcoholic Beverages, Carcinoma, Squamous Cell, Case-Control Studies, Cohort Studies, Female, Humans, Lung Neoplasms, Male, Middle Aged, Odds Ratio, Risk Factors, Surveys and Questionnaires, Alcohol, Lung cancer, Pooled analysis, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundThere is inadequate evidence to determine whether there is an effect of alcohol consumption on lung cancer risk. We conducted a pooled analysis of data from the International Lung Cancer Consortium and the SYNERGY study to investigate this possible association by type of beverage with adjustment for other potential confounders.MethodsTwenty one case-control studies and one cohort study with alcohol-intake data obtained from questionnaires were included in this pooled analysis (19,149 cases and 362,340 controls). Adjusted odds ratios (OR) or hazard ratios (HR) with corresponding 95% confidence intervals (CI) were estimated for each measure of alcohol consumption. Effect estimates were combined using random or fixed-effects models where appropriate. Associations were examined for overall lung cancer and by histological type.ResultsWe observed an inverse association between overall risk of lung cancer and consumption of alcoholic beverages compared to non-drinkers, but the association was not monotonic. The lowest risk was observed for persons who consumed 10-19.9 g/day ethanol (OR vs. non-drinkers = 0.78; 95% CI: 0.67, 0.91), where 1 drink is approximately 12-15 g. This J-shaped association was most prominent for squamous cell carcinoma (SCC). The association with all lung cancer varied little by type of alcoholic beverage, but there were notable differences for SCC. We observed an association with beer intake (OR for ≥20 g/day vs nondrinker = 1.42; 95% CI: 1.06, 1.90).ConclusionsWhether the non-monotonic associations we observed or the positive association between beer drinking and squamous cell carcinoma reflect real effects await future analyses and insights about possible biological mechanisms.

Published
2019

14. Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium

Author

Harris, Holly R, Babic, Ana, Webb, Penelope M, Nagle, Christina M, Jordan, Susan J, Group, on behalf of the 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, Wentzensen, Nicolas, Kotsopoulos, Joanne, Narod, Steven A, Phelan, Catherine M, McLaughlin, John R, Anton-Culver, Hoda, Ziogas, Argyrios, Pearce, Celeste L, Wu, Anna H, Terry, Kathryn L, and Consortium, on behalf of the Ovarian Cancer Association

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Women's Health, Ovarian Cancer, Cancer, Infertility, Contraception/Reproduction, Prevention, Rare Diseases, 2.1 Biological and endogenous factors, Adult, Case-Control Studies, Female, Humans, Logistic Models, Menstrual Cycle, Middle Aged, Odds Ratio, Oligomenorrhea, Ovarian Neoplasms, Polycystic Ovary Syndrome, Risk Factors, Self Report, Time Factors, Ovarian Cancer Association Consortium, Australian Ovarian Cancer Study Group, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

Background: Polycystic ovary syndrome (PCOS), and one of its distinguishing characteristics, oligomenorrhea, have both been associated with ovarian cancer risk in some but not all studies. However, these associations have been rarely examined by ovarian cancer histotypes, which may explain the lack of clear associations reported in previous studies.Methods: We analyzed data from 14 case-control studies including 16,594 women with invasive ovarian cancer (n = 13,719) or borderline ovarian disease (n = 2,875) and 17,718 controls. Adjusted study-specific ORs were calculated using logistic regression and combined using random-effects meta-analysis. Pooled histotype-specific ORs were calculated using polytomous logistic regression.Results: Women reporting menstrual cycle length >35 days had decreased risk of invasive ovarian cancer compared with women reporting cycle length ≤35 days [OR = 0.70; 95% confidence interval (CI) = 0.58-0.84]. Decreased risk of invasive ovarian cancer was also observed among women who reported irregular menstrual cycles compared with women with regular cycles (OR = 0.83; 95% CI = 0.76-0.89). No significant association was observed between self-reported PCOS and invasive ovarian cancer risk (OR = 0.87; 95% CI = 0.65-1.15). There was a decreased risk of all individual invasive histotypes for women with menstrual cycle length >35 days, but no association with serous borderline tumors (Pheterogeneity = 0.006). Similarly, we observed decreased risks of most invasive histotypes among women with irregular cycles, but an increased risk of borderline serous and mucinous tumors (Pheterogeneity < 0.0001).Conclusions: Our results suggest that menstrual cycle characteristics influence ovarian cancer risk differentially based on histotype.Impact: These results highlight the importance of examining ovarian cancer risk factors associations by histologic subtype. Cancer Epidemiol Biomarkers Prev; 27(2); 174-82. ©2017 AACR.

Published
2018

15. Variants in genes encoding small GTPases and association with epithelial ovarian cancer susceptibility

Author

Earp, Madalene, Tyrer, Jonathan P, Winham, Stacey J, Lin, Hui-Yi, Chornokur, Ganna, Dennis, Joe, Aben, Katja KH, Anton‐Culver, Hoda, Antonenkova, Natalia, Bandera, Elisa V, Bean, Yukie T, Beckmann, Matthias W, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Bunker, Clareann H, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Despierre, Evelyn, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Easton, Douglas F, Eccles, Diana M, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Claus K, Høgdall, Estrid, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Jung, Audrey Y, Karlan, Beth Y, Kellar, Melissa, Kiemeney, Lambertus A, Lim, Boon Kiong, Kjaer, Susanne K, Krakstad, Camilla, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lele, Shashi, Lester, Jenny, Levine, Douglas A, Li, Zheng, Liang, Dong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Iain, Menon, Usha, Milne, Roger L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Nevanlinna, Heli, Odunsi, Kunle, Olson, Sara H, Orlow, Irene, Orsulic, Sandra, Paul, James, Pejovic, Tanja, Pelttari, Liisa M, Permuth, Jenny B, Pike, Malcolm C, Poole, Elizabeth M, Rosen, Barry, Rossing, Mary Anne, Rothstein, Joseph H, and Runnebaum, Ingo B

Subjects
Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Biological Sciences, Genetics, Oncology and Carcinogenesis, Cancer, Women's Health, Ovarian Cancer, Rare Diseases, 2.1 Biological and endogenous factors, A Kinase Anchor Proteins, Carcinoma, Ovarian Epithelial, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genotype, Humans, Monomeric GTP-Binding Proteins, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Rho Guanine Nucleotide Exchange Factors, Risk Factors, General Science & Technology
Abstract

Epithelial ovarian cancer (EOC) is the fifth leading cause of cancer mortality in American women. Normal ovarian physiology is intricately connected to small GTP binding proteins of the Ras superfamily (Ras, Rho, Rab, Arf, and Ran) which govern processes such as signal transduction, cell proliferation, cell motility, and vesicle transport. We hypothesized that common germline variation in genes encoding small GTPases is associated with EOC risk. We investigated 322 variants in 88 small GTPase genes in germline DNA of 18,736 EOC patients and 26,138 controls of European ancestry using a custom genotype array and logistic regression fitting log-additive models. Functional annotation was used to identify biofeatures and expression quantitative trait loci that intersect with risk variants. One variant, ARHGEF10L (Rho guanine nucleotide exchange factor 10 like) rs2256787, was associated with increased endometrioid EOC risk (OR = 1.33, p = 4.46 x 10-6). Other variants of interest included another in ARHGEF10L, rs10788679, which was associated with invasive serous EOC risk (OR = 1.07, p = 0.00026) and two variants in AKAP6 (A-kinase anchoring protein 6) which were associated with risk of invasive EOC (rs1955513, OR = 0.90, p = 0.00033; rs927062, OR = 0.94, p = 0.00059). Functional annotation revealed that the two ARHGEF10L variants were located in super-enhancer regions and that AKAP6 rs927062 was associated with expression of GTPase gene ARHGAP5 (Rho GTPase activating protein 5). Inherited variants in ARHGEF10L and AKAP6, with potential transcriptional regulatory function and association with EOC risk, warrant investigation in independent EOC study populations.

Published
2018

16. Alcohol and lung cancer risk among never smokers: A pooled analysis from the international lung cancer consortium and the SYNERGY study

Author

Fehringer, Gordon, Brenner, Darren R, Zhang, Zuo‐Feng, Lee, Yuan‐Chin Amy, Matsuo, Keitaro, Ito, Hidemi, Lan, Qing, Vineis, Paolo, Johansson, Mattias, Overvad, Kim, Riboli, Elio, Trichopoulou, Antonia, Sacerdote, Carlotta, Stucker, Isabelle, Boffetta, Paolo, Brennan, Paul, Christiani, David C, Hong, Yun‐Chul, Landi, Maria Teresa, Morgenstern, Hal, Schwartz, Ann G, Wenzlaff, Angela S, Rennert, Gad, McLaughlin, John R, Harris, Curtis C, Olivo‐Marston, Susan, Orlow, Irene, Park, Bernard J, Zauderer, Marjorie, Dios, Juan M Barros, Raviña, Alberto Ruano, Siemiatycki, Jack, Koushik, Anita, Lazarus, Philip, Fernández‐Somoano, Ana, Tardon, Adonina, Le Marchand, Loic, Brenner, Hermann, Saum, Kai‐Uwe, Duell, Eric J, Andrew, Angeline S, Szeszenia‐Dabrowska, Neonila, Lissowska, Jolanta, Zaridze, David, Rudnai, Peter, Fabianova, Eleonora, Mates, Dana, Foretova, Lenka, Janout, Vladimir, Bencko, Vladimir, Holcatova, Ivana, Pesatori, Angela Cecilia, Consonni, Dario, Olsson, Ann, Straif, Kurt, and Hung, Rayjean J

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Lung, Cancer, Substance Misuse, Tobacco, Alcoholism, Alcohol Use and Health, Tobacco Smoke and Health, Prevention, Lung Cancer, Cardiovascular, Stroke, Respiratory, Good Health and Well Being, Aged, Alcohol Drinking, Alcoholic Beverages, Asia, Case-Control Studies, Cohort Studies, Europe, Female, Humans, Lung Neoplasms, Male, Middle Aged, North America, Risk Factors, Smoking, alcohol, lung cancer, wine, beer, liquor, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

It is not clear whether alcohol consumption is associated with lung cancer risk. The relationship is likely confounded by smoking, complicating the interpretation of previous studies. We examined the association of alcohol consumption and lung cancer risk in a large pooled international sample, minimizing potential confounding of tobacco consumption by restricting analyses to never smokers. Our study included 22 case-control and cohort studies with a total of 2548 never-smoking lung cancer patients and 9362 never-smoking controls from North America, Europe and Asia within the International Lung Cancer Consortium (ILCCO) and SYNERGY Consortium. Alcohol consumption was categorized into amounts consumed (grams per day) and also modelled as a continuous variable using restricted cubic splines for potential non-linearity. Analyses by histologic sub-type were included. Associations by type of alcohol consumed (wine, beer and liquor) were also investigated. Alcohol consumption was inversely associated with lung cancer risk with evidence most strongly supporting lower risk for light and moderate drinkers relative to non-drinkers (>0-4.9 g per day: OR = 0.80, 95% CI = 0.70-0.90; 5-9.9 g per day: OR = 0.82, 95% CI = 0.69-0.99; 10-19.9 g per day: OR = 0.79, 95% CI = 0.65-0.96). Inverse associations were found for consumption of wine and liquor, but not beer. The results indicate that alcohol consumption is inversely associated with lung cancer risk, particularly among subjects with low to moderate consumption levels, and among wine and liquor drinkers, but not beer drinkers. Although our results should have no relevant bias from the confounding effect of smoking we cannot preclude that confounding by other factors contributed to the observed associations. Confounding in relation to the non-drinker reference category may be of particular importance.

Published
2017

18. Association of vitamin D levels and risk of ovarian cancer: a Mendelian randomization study.

Author

Ong, Jue-Sheng, Cuellar-Partida, Gabriel, Lu, Yi, Australian Ovarian Cancer Study, Fasching, Peter A, Hein, Alexander, Burghaus, Stefanie, Beckmann, Matthias W, Lambrechts, Diether, Van Nieuwenhuysen, Els, Vergote, Ignace, Vanderstichele, Adriaan, Anne Doherty, Jennifer, Anne Rossing, Mary, Chang-Claude, Jenny, Eilber, Ursula, Rudolph, Anja, Wang-Gohrke, Shan, Goodman, Marc T, Bogdanova, Natalia, Dörk, Thilo, Dürst, Matthias, Hillemanns, Peter, Runnebaum, Ingo B, Antonenkova, Natalia, Butzow, Ralf, Leminen, Arto, Nevanlinna, Heli, Pelttari, Liisa M, Edwards, Robert P, Kelley, Joseph L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Cannioto, Rikki, Høgdall, Estrid, Høgdall, Claus K, Jensen, Allan, Giles, Graham G, Bruinsma, Fiona, Kjaer, Susanne K, Hildebrandt, Michelle At, Liang, Dong, Lu, Karen H, Wu, Xifeng, Bisogna, Maria, Dao, Fanny, Levine, Douglas A, Cramer, Daniel W, Terry, Kathryn L, Tworoger, Shelley S, Stampfer, Meir, Missmer, Stacey, Bjorge, Line, Salvesen, Helga B, Kopperud, Reidun K, Bischof, Katharina, Aben, Katja Kh, Kiemeney, Lambertus A, Massuger, Leon Fag, Brooks-Wilson, Angela, Olson, Sara H, McGuire, Valerie, Rothstein, Joseph H, Sieh, Weiva, Whittemore, Alice S, Cook, Linda S, Le, Nhu D, Gilks, C Blake, Gronwald, Jacek, Jakubowska, Anna, Lubiński, Jan, Kluz, Tomasz, Song, Honglin, Tyrer, Jonathan P, Wentzensen, Nicolas, Brinton, Louise, Trabert, Britton, Lissowska, Jolanta, McLaughlin, John R, Narod, Steven A, Phelan, Catherine, Anton-Culver, Hoda, Ziogas, Argyrios, Eccles, Diana, Campbell, Ian, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Menon, Usha, Ramus, Susan J, Wu, Anna H, Dansonka-Mieszkowska, Agnieszka, Kupryjanczyk, Jolanta, Timorek, Agnieszka, Szafron, Lukasz, Cunningham, Julie M, Fridley, Brooke L, Winham, Stacey J, Bandera, Elisa V, and Poole, Elizabeth M

Subjects
Australian Ovarian Cancer Study, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Genetic Predisposition to Disease, Vitamin D, Odds Ratio, Risk Factors, Polymorphism, Single Nucleotide, Female, Mendelian Randomization Analysis, Carcinoma, Ovarian Epithelial, Neoplasms, Glandular and Epithelial, Polymorphism, Single Nucleotide, Carcinoma, Ovarian Epithelial, Prevention, Rare Diseases, Nutrition, Clinical Research, Cancer, Ovarian Cancer, Statistics, Public Health and Health Services, Epidemiology
Abstract

BackgroundIn vitro and observational epidemiological studies suggest that vitamin D may play a role in cancer prevention. However, the relationship between vitamin D and ovarian cancer is uncertain, with observational studies generating conflicting findings. A potential limitation of observational studies is inadequate control of confounding. To overcome this problem, we used Mendelian randomization (MR) to evaluate the association between single nucleotide polymorphisms (SNPs) associated with circulating 25-hydroxyvitamin D [25(OH)D] concentration and risk of ovarian cancer.MethodsWe employed SNPs with well-established associations with 25(OH)D concentration as instrumental variables for MR: rs7944926 (DHCR7), rs12794714 (CYP2R1) and rs2282679 (GC). We included 31 719 women of European ancestry (10 065 cases, 21 654 controls) from the Ovarian Cancer Association Consortium, who were genotyped using customized Illumina Infinium iSelect (iCOGS) arrays. A two-sample (summary data) MR approach was used and analyses were performed separately for all ovarian cancer (10 065 cases) and for high-grade serous ovarian cancer (4121 cases).ResultsThe odds ratio for epithelial ovarian cancer risk (10 065 cases) estimated by combining the individual SNP associations using inverse variance weighting was 1.27 (95% confidence interval: 1.06 to 1.51) per 20 nmol/L decrease in 25(OH)D concentration. The estimated odds ratio for high-grade serous epithelial ovarian cancer (4121 cases) was 1.54 (1.19, 2.01).ConclusionsGenetically lowered 25-hydroxyvitamin D concentrations were associated with higher ovarian cancer susceptibility in Europeans. These findings suggest that increasing plasma vitamin D levels may reduce risk of ovarian cancer.

Published
2016

19. Assessing the genetic architecture of epithelial ovarian cancer histological subtypes

Author

Cuellar-Partida, Gabriel, Lu, Yi, Dixon, Suzanne C, Australian Ovarian Cancer Study, Fasching, Peter A, Hein, Alexander, Burghaus, Stefanie, Beckmann, Matthias W, Lambrechts, Diether, Van Nieuwenhuysen, Els, Vergote, Ignace, Vanderstichele, Adriaan, Doherty, Jennifer Anne, Rossing, Mary Anne, Chang-Claude, Jenny, Rudolph, Anja, Wang-Gohrke, Shan, Goodman, Marc T, Bogdanova, Natalia, Dörk, Thilo, Dürst, Matthias, Hillemanns, Peter, Runnebaum, Ingo B, Antonenkova, Natalia, Butzow, Ralf, Leminen, Arto, Nevanlinna, Heli, Pelttari, Liisa M, Edwards, Robert P, Kelley, Joseph L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Cannioto, Rikki, Høgdall, Estrid, Høgdall, Claus, Jensen, Allan, Giles, Graham G, Bruinsma, Fiona, Kjaer, Susanne K, Hildebrandt, Michelle AT, Liang, Dong, Lu, Karen H, Wu, Xifeng, Bisogna, Maria, Dao, Fanny, Levine, Douglas A, Cramer, Daniel W, Terry, Kathryn L, Tworoger, Shelley S, Stampfer, Meir, Missmer, Stacey, Bjorge, Line, Salvesen, Helga B, Kopperud, Reidun K, Bischof, Katharina, Aben, Katja KH, Kiemeney, Lambertus A, Massuger, Leon FAG, Brooks-Wilson, Angela, Olson, Sara H, McGuire, Valerie, Rothstein, Joseph H, Sieh, Weiva, Whittemore, Alice S, Cook, Linda S, Le, Nhu D, Blake Gilks, C, Gronwald, Jacek, Jakubowska, Anna, Lubiński, Jan, Kluz, Tomasz, Song, Honglin, Tyrer, Jonathan P, Wentzensen, Nicolas, Brinton, Louise, Trabert, Britton, Lissowska, Jolanta, McLaughlin, John R, Narod, Steven A, Phelan, Catherine, Anton-Culver, Hoda, Ziogas, Argyrios, Eccles, Diana, Campbell, Ian, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Menon, Usha, Ramus, Susan J, Wu, Anna H, Dansonka-Mieszkowska, Agnieszka, Kupryjanczyk, Jolanta, Timorek, Agnieszka, Szafron, Lukasz, Cunningham, Julie M, Fridley, Brooke L, Winham, Stacey J, Bandera, Elisa V, Poole, Elizabeth M, and Morgan, Terry K

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Cancer, Obesity, Ovarian Cancer, Cancer Genomics, Rare Diseases, Women's Health, Human Genome, 2.1 Biological and endogenous factors, Carcinoma, Ovarian Epithelial, Female, Genotype, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Pathology, Molecular, Polymorphism, Single Nucleotide, Australian Ovarian Cancer Study, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine, Genetics & Heredity, Reproductive medicine
Abstract

Epithelial ovarian cancer (EOC) is one of the deadliest common cancers. The five most common types of disease are high-grade and low-grade serous, endometrioid, mucinous and clear cell carcinoma. Each of these subtypes present distinct molecular pathogeneses and sensitivities to treatments. Recent studies show that certain genetic variants confer susceptibility to all subtypes while other variants are subtype-specific. Here, we perform an extensive analysis of the genetic architecture of EOC subtypes. To this end, we used data of 10,014 invasive EOC patients and 21,233 controls from the Ovarian Cancer Association Consortium genotyped in the iCOGS array (211,155 SNPs). We estimate the array heritability (attributable to variants tagged on arrays) of each subtype and their genetic correlations. We also look for genetic overlaps with factors such as obesity, smoking behaviors, diabetes, age at menarche and height. We estimated the array heritabilities of high-grade serous disease ([Formula: see text] = 8.8 ± 1.1 %), endometrioid ([Formula: see text] = 3.2 ± 1.6 %), clear cell ([Formula: see text] = 6.7 ± 3.3 %) and all EOC ([Formula: see text] = 5.6 ± 0.6 %). Known associated loci contributed approximately 40 % of the total array heritability for each subtype. The contribution of each chromosome to the total heritability was not proportional to chromosome size. Through bivariate and cross-trait LD score regression, we found evidence of shared genetic backgrounds between the three high-grade subtypes: serous, endometrioid and undifferentiated. Finally, we found significant genetic correlations of all EOC with diabetes and obesity using a polygenic prediction approach.

Published
2016

20. Evidence of a genetic link between endometriosis and ovarian cancer

Author

Lee, Alice W, Templeman, Claire, Stram, Douglas A, Beesley, Jonathan, Tyrer, Jonathan, Berchuck, Andrew, Pharoah, Paul P, Chenevix-Trench, Georgia, Pearce, Celeste Leigh, Consortium, Ovarian Cancer Association, Ness, Roberta B, Dansonka-Mieszkowska, Agnieszka, Gentry-Maharaj, Aleksandra, Hein, Alexander, Whittemore, Alice S, Jensen, Allan, du Bois, Andreas, Brooks-Wilson, Angela, Rudolph, Anja, Jakubowska, Anna, Wu, Anna H, Ziogas, Argyrios, Ekici, Arif B, Leminen, Arto, Study, Australian Cancer, Group, Australian Ovarian Cancer Study, Rosen, Barry, Spiewankiewicz, Beata, Karlan, Beth Y, Trabert, Britton, Fridley, Brooke L, Gilks, C Blake, Krakstad, Camilla, Phelan, Catherine M, Cybulski, Cezary, Walsh, Christine, Hogdall, Claus, Cramer, Daniel W, Huntsman, David G, Eccles, Diana, Lambrechts, Diether, Liang, Dong, Levine, Douglas A, Iversen, Edwin S, Bandera, Elisa V, Poole, Elizabeth M, Goode, Ellen L, Van Nieuwenhuysen, Els, Hogdall, Estrid, Bruinsma, Fiona, Heitz, Florian, Modugno, Francesmary, Giles, Graham G, Risch, Harvey A, Baker, Helen, Salvesen, Helga B, Nevanlinna, Heli, Anton-Culver, Hoda, Song, Honglin, McNeish, Iain, Campbell, Ian G, Vergote, Ignace, Runnebaum, Ingo B, Tangen, Ingvild L, Schwaab, Ira, Gronwald, Jacek, Paul, James, Lubinski, Jan, Doherty, Jennifer A, Chang-Claude, Jenny, Lester, Jenny, Schildkraut, Joellen M, McLaughlin, John R, Lissowska, Jolanta, Kupryjanczyk, Jolanta, Kelley, Joseph L, Rothstein, Joseph H, Cunningham, Julie M, Lu, Karen, Carty, Karen, Terry, Kathryn L, Aben, Katja KH, Moysich, Kirsten B, Wicklund, Kristine G, Odunsi, Kunle, Kiemeney, Lambertus A, Sucheston-Campbell, Lara, Lundvall, Lene, Massuger, Leon FAG, Pelttari, Liisa M, Kelemen, Linda E, Cook, Linda S, Bjorge, Line, Nedergaard, Lotte, Brinton, Louise A, Wilkens, Lynne R, Pike, Malcolm C, Goodman, Marc T, and Bisogna, Maria

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Women's Health, Ovarian Cancer, Endometriosis, Cancer, Clinical Research, Rare Diseases, 2.1 Biological and endogenous factors, Case-Control Studies, Computational Biology, Databases, Genetic, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Neoplasm Grading, Ovarian Neoplasms, Phenotype, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Ovarian Cancer Association Consortium, SNPs, genetic variation, ovarian cancer, Clinical Sciences, Paediatrics and Reproductive Medicine, Public Health and Health Services, Obstetrics & Reproductive Medicine, Reproductive medicine
Abstract

ObjectiveTo evaluate whether endometriosis-associated genetic variation affects risk of ovarian cancer.DesignPooled genetic analysis.SettingUniversity hospital.Patient(s)Genetic data from 46,176 participants (15,361 ovarian cancer cases and 30,815 controls) from 41 ovarian cancer studies.Intervention(s)None.Main outcome measure(s)Endometriosis-associated genetic variation and ovarian cancer.Result(s)There was significant evidence of an association between endometriosis-related genetic variation and ovarian cancer risk, especially for the high-grade serous and clear cell histotypes. Overall we observed 15 significant burden statistics, which was three times more than expected.Conclusion(s)By focusing on candidate regions from a phenotype associated with ovarian cancer, we have shown a clear genetic link between endometriosis and ovarian cancer that warrants further follow-up. The functional significance of the identified regions and SNPs is presently uncertain, though future fine mapping and histotype-specific functional analyses may shed light on the etiologies of both gynecologic conditions.

Published
2016

21. Fine mapping of chromosome 5p15.33 based on a targeted deep sequencing and high density genotyping identifies novel lung cancer susceptibility loci

Author

Kachuri, Linda, Amos, Christopher I, McKay, James D, Johansson, Mattias, Vineis, Paolo, Bueno-de-Mesquita, H Bas, Boutron-Ruault, Marie-Christine, Johansson, Mikael, Quirós, J Ramón, Sieri, Sabina, Travis, Ruth C, Weiderpass, Elisabete, Le Marchand, Loic, Henderson, Brian E, Wilkens, Lynne, Goodman, Gary E, Chen, Chu, Doherty, Jennifer A, Christiani, David C, Wei, Yongyue, Su, Li, Tworoger, Shelley, Zhang, Xuehong, Kraft, Peter, Zaridze, David, Field, John K, Marcus, Michael W, Davies, Michael PA, Hyde, Russell, Caporaso, Neil E, Landi, Maria Teresa, Severi, Gianluca, Giles, Graham G, Liu, Geoffrey, McLaughlin, John R, Li, Yafang, Xiao, Xiangjun, Fehringer, Gord, Zong, Xuchen, Denroche, Robert E, Zuzarte, Philip C, McPherson, John D, Brennan, Paul, and Hung, Rayjean J

Subjects
Lung, Human Genome, Genetics, Cancer, Prevention, Lung Cancer, 2.1 Biological and endogenous factors, Aetiology, Case-Control Studies, Chromosome Mapping, Chromosomes, Human, Pair 5, Female, Genetic Loci, Genetic Predisposition to Disease, Genotyping Techniques, Humans, Lung Neoplasms, Male, Middle Aged, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Chromosome 5p15.33 has been identified as a lung cancer susceptibility locus, however the underlying causal mechanisms were not fully elucidated. Previous fine-mapping studies of this locus have relied on imputation or investigated a small number of known, common variants. This study represents a significant advance over previous research by investigating a large number of novel, rare variants, as well as their underlying mechanisms through telomere length. Variants for this fine-mapping study were identified through a targeted deep sequencing (average depth of coverage greater than 4000×) of 576 individuals. Subsequently, 4652 SNPs, including 1108 novel SNPs, were genotyped in 5164 cases and 5716 controls of European ancestry. After adjusting for known risk loci, rs2736100 and rs401681, we identified a new, independent lung cancer susceptibility variant in LPCAT1: rs139852726 (OR = 0.46, P = 4.73×10(-9)), and three new adenocarcinoma risk variants in TERT: rs61748181 (OR = 0.53, P = 2.64×10(-6)), rs112290073 (OR = 1.85, P = 1.27×10(-5)), rs138895564 (OR = 2.16, P = 2.06×10(-5); among young cases, OR = 3.77, P = 8.41×10(-4)). In addition, we found that rs139852726 (P = 1.44×10(-3)) was associated with telomere length in a sample of 922 healthy individuals. The gene-based SKAT-O analysis implicated TERT as the most relevant gene in the 5p15.33 region for adenocarcinoma (P = 7.84×10(-7)) and lung cancer (P = 2.37×10(-5)) risk. In this largest fine-mapping study to investigate a large number of rare and novel variants within 5p15.33, we identified novel lung and adenocarcinoma susceptibility loci with large effects and provided support for the role of telomere length as the potential underlying mechanism.

Published
2016

22. Offspring sex and risk of epithelial ovarian cancer: a multinational pooled analysis of 12 case–control studies

Author

Modugno, Francesmary, Fu, Zhuxuan, Jordan, Susan J., Group, AOCS, Chang-Claude, Jenny, Fortner, Renée T., Goodman, Marc T., Moysich, Kirsten B., Schildkraut, Joellen M., Berchuck, Andrew, Bandera, Elisa V., Qin, Bo, Sutphen, Rebecca, McLaughlin, John R., Menon, Usha, Ramus, Susan J., Gayther, Simon A., Gentry-Maharaj, Aleksandra, Karpinskyj, Chloe, Pearce, Celeste L., Wu, Anna H., Risch, Harvey A., and Webb, Penelope M.

Published
2020
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24. Epithelial-Mesenchymal Transition (EMT) Gene Variants and Epithelial Ovarian Cancer (EOC) Risk.

Author

Amankwah, Ernest K, Lin, Hui-Yi, Tyrer, Jonathan P, Lawrenson, Kate, Dennis, Joe, Chornokur, Ganna, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Bruinsma, Fiona, Bandera, Elisa V, Bean, Yukie T, Beckmann, Matthias W, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bunker, Clareann H, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chen, Zhihua, Chen, Y Ann, Chang-Claude, Jenny, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, du Bois, Andreas, Despierre, Evelyn, Dicks, Ed, Doherty, Jennifer A, Dörk, Thilo, Dürst, Matthias, Easton, Douglas F, Eccles, Diana M, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harrington, Patricia, Harter, Philipp, Hasmad, Hanis N, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Claus K, Hogdall, Estrid, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Jim, Heather, Kellar, Melissa, Kiemeney, Lambertus A, Krakstad, Camilla, Kjaer, Susanne K, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lim, Boon Kiong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Ian, Menon, Usha, Milne, Roger L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Nevanlinna, Heli, Eilber, Ursula, Odunsi, Kunle, Olson, Sara H, Orlow, Irene, Orsulic, Sandra, and Weber, Rachel Palmieri

Subjects
Georgia Chenevix-Trench on behalf of the AOCS management group, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Genetic Predisposition to Disease, Odds Ratio, Risk, Genotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, European Continental Ancestry Group, Female, Genome-Wide Association Study, Epithelial-Mesenchymal Transition, Carcinoma, Ovarian Epithelial, epithelial-mesenchymal transition, ovarian cancer, single-nucleotide polymorphisms, Neoplasms, Glandular and Epithelial, Polymorphism, Single Nucleotide, Carcinoma, Ovarian Epithelial, Epidemiology, Public Health and Health Services, Genetics
Abstract

Epithelial-mesenchymal transition (EMT) is a process whereby epithelial cells assume mesenchymal characteristics to facilitate cancer metastasis. However, EMT also contributes to the initiation and development of primary tumors. Prior studies that explored the hypothesis that EMT gene variants contribute to epithelial ovarian carcinoma (EOC) risk have been based on small sample sizes and none have sought replication in an independent population. We screened 15,816 single-nucleotide polymorphisms (SNPs) in 296 genes in a discovery phase using data from a genome-wide association study of EOC among women of European ancestry (1,947 cases and 2,009 controls) and identified 793 variants in 278 EMT-related genes that were nominally (P < 0.05) associated with invasive EOC. These SNPs were then genotyped in a larger study of 14,525 invasive-cancer patients and 23,447 controls. A P-value

Published
2015

25. Common variants at the CHEK2 gene locus and risk of epithelial ovarian cancer

Author

Lawrenson, Kate, Iversen, Edwin S, Tyrer, Jonathan, Weber, Rachel Palmieri, Concannon, Patrick, Hazelett, Dennis J, Li, Qiyuan, Marks, Jeffrey R, Berchuck, Andrew, Lee, Janet M, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Bandera, Elisa V, Bean, Yukie, Beckmann, Matthias W, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Chen, Ann, Chen, Zhihua, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Plisiecka-Halasa, Joanna, Dennis, Joe, Dicks, Ed, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Eccles, Diana, Easton, Douglas T, Edwards, Robert P, Eilber, Ursula, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goode, Ellen L, Goodman, Marc T, Gronwald, Jacek, Harter, Philipp, Hasmad, Hanis Nazihah, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Estrid, Hogdall, Claus, Hosono, Satoyo, Jakubowska, Anna, Paul, James, Jensen, Allan, Karlan, Beth Y, Kjaer, Susanne Kruger, Kelemen, Linda E, Kellar, Melissa, Kelley, Joseph L, Kiemeney, Lambertus A, Krakstad, Camilla, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Cannioto, Rikki, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, Nevanlinna, Heli, McNeish, Iain, Menon, Usha, Modugno, Francesmary, Moysich, Kirsten B, Narod, Steven A, Nedergaard, Lotte, Ness, Roberta B, Azmi, Mat Adenan Noor, Odunsi, Kunle, and Olson, Sara H

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Biotechnology, Women's Health, Ovarian Cancer, Cancer, Clinical Research, Cancer Genomics, Human Genome, Genetic Testing, Prevention, Rare Diseases, Genetics, 2.1 Biological and endogenous factors, Carcinoma, Ovarian Epithelial, Case-Control Studies, Checkpoint Kinase 2, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Australian Cancer Study, Australian Ovarian Cancer Study Group, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

Genome-wide association studies have identified 20 genomic regions associated with risk of epithelial ovarian cancer (EOC), but many additional risk variants may exist. Here, we evaluated associations between common genetic variants [single nucleotide polymorphisms (SNPs) and indels] in DNA repair genes and EOC risk. We genotyped 2896 common variants at 143 gene loci in DNA samples from 15 397 patients with invasive EOC and controls. We found evidence of associations with EOC risk for variants at FANCA, EXO1, E2F4, E2F2, CREB5 and CHEK2 genes (P ≤ 0.001). The strongest risk association was for CHEK2 SNP rs17507066 with serous EOC (P = 4.74 x 10(-7)). Additional genotyping and imputation of genotypes from the 1000 genomes project identified a slightly more significant association for CHEK2 SNP rs6005807 (r (2) with rs17507066 = 0.84, odds ratio (OR) 1.17, 95% CI 1.11-1.24, P = 1.1×10(-7)). We identified 293 variants in the region with likelihood ratios of less than 1:100 for representing the causal variant. Functional annotation identified 25 candidate SNPs that alter transcription factor binding sites within regulatory elements active in EOC precursor tissues. In The Cancer Genome Atlas dataset, CHEK2 gene expression was significantly higher in primary EOCs compared to normal fallopian tube tissues (P = 3.72×10(-8)). We also identified an association between genotypes of the candidate causal SNP rs12166475 (r (2) = 0.99 with rs6005807) and CHEK2 expression (P = 2.70×10(-8)). These data suggest that common variants at 22q12.1 are associated with risk of serous EOC and CHEK2 as a plausible target susceptibility gene.

Published
2015

26. Estimating the Size of Hidden Populations Using Respondent-driven Sampling Data

Author

Johnston, Lisa G, McLaughlin, Katherine R, Rhilani, Houssine El, Latifi, Amina, Toufik, Abdalla, Bennani, Aziza, Alami, Kamal, Elomari, Boutaina, and Handcock, Mark S

Subjects
Prevention, Clinical Research, HIV/AIDS, Adult, Bisexuality, Drug Users, Female, HIV Infections, Homosexuality, Male, Humans, Male, Morocco, Population Density, Prevalence, Sample Size, Sampling Studies, Sex Workers, Sexual Behavior, Substance Abuse, Intravenous, Surveys and Questionnaires, Statistics, Public Health and Health Services, Epidemiology
Abstract

BackgroundRespondent-driven sampling is used worldwide to estimate the population prevalence of characteristics, such as HIV/AIDS and associated risk factors in hard-to-reach populations. Estimating the total size of these populations is of great interest to national and international organizations; however, reliable measures of population size often do not exist.MethodsSuccessive sampling-population size estimation (SS-PSE) along with network size imputation allows population size estimates to be made without relying on separate studies or additional data (as in network scale-up, multiplier, and capture-recapture methods), which may be biased.ResultsTen population size estimates were calculated for people who inject drugs, female sex workers, men who have sex with other men, and migrants from sub-Saharan Africa in six different cities in Morocco. SS-PSE estimates fell within or very close to the likely values provided by experts and the estimates from previous studies using other methods.ConclusionsSS-PSE is an effective method for estimating the size of hard-to-reach populations that leverages important information within respondent-driven sampling studies. The addition of a network size imputation method helps to smooth network sizes allowing for more accurate results. However, caution should be used particularly when there is reason to believe that clustered subgroups may exist within the population of interest or when the sample size is small in relation to the population.

Published
2015

27. Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk.

Author

Kar, Siddhartha P, Tyrer, Jonathan P, Li, Qiyuan, Lawrenson, Kate, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Chenevix-Trench, Georgia, Australian Cancer Study, Australian Ovarian Cancer Study Group, Baker, Helen, Bandera, Elisa V, Bean, Yukie T, Beckmann, Matthias W, Berchuck, Andrew, Bisogna, Maria, Bjørge, Line, Bogdanova, Natalia, Brinton, Louise, Brooks-Wilson, Angela, Butzow, Ralf, Campbell, Ian, Carty, Karen, Chang-Claude, Jenny, Chen, Yian Ann, Chen, Zhihua, Cook, Linda S, Cramer, Daniel, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Dennis, Joe, Dicks, Ed, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana, Easton, Douglas F, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goode, Ellen L, Goodman, Marc T, Grownwald, Jacek, Harrington, Patricia, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Estrid, Hogdall, Claus K, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Paul, James, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Kjaer, Susanne K, Kelemen, Linda E, Kellar, Melissa, Kelley, Joseph, Kiemeney, Lambertus A, Krakstad, Camilla, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Iain A, Menon, Usha, Modugno, Francesmary, Moysich, Kirsten B, Narod, Steven A, Nedergaard, Lotte, Ness, Roberta B, Nevanlinna, Heli, Odunsi, Kunle, Olson, Sara H, and Orlow, Irene

Subjects
Australian Cancer Study, Australian Ovarian Cancer Study Group, Humans, Cystadenocarcinoma, Serous, Ovarian Neoplasms, Genetic Predisposition to Disease, Nuclear Proteins, Transcription Factors, DNA, Neoplasm, Morbidity, Risk Factors, Gene Expression Regulation, Neoplastic, Genotype, Female, Genome-Wide Association Study, Global Health, Ovarian Cancer, Biotechnology, Cancer, Genetics, Rare Diseases, Prevention, Human Genome, 2.1 Biological and endogenous factors, Epidemiology, Medical and Health Sciences
Abstract

BackgroundGenome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by coexpression may also be enriched for additional EOC risk associations.MethodsWe selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls).ResultsGene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P < 0.05 and FDR < 0.05). These results were replicated (P < 0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network.ConclusionWe identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development.ImpactNetwork analysis integrating large, context-specific datasets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization.

Published
2015

28. Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer.

Author

Lawrenson, Kate, Li, Qiyuan, Kar, Siddhartha, Seo, Ji-Heui, Tyrer, Jonathan, Spindler, Tassja J, Lee, Janet, Chen, Yibu, Karst, Alison, Drapkin, Ronny, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Australian Ovarian Cancer Study Group, Baker, Helen, Bandera, Elisa V, Bean, Yukie, Beckmann, Matthias W, Berchuck, Andrew, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Chen, Anne, Chen, Zhihua, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Dennis, Joe, Dicks, Ed, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana, Easton, Douglas T, Edwards, Robert P, Eilber, Ursula, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goode, Ellen L, Goodman, Marc T, Grownwald, Jacek, Harrington, Patricia, Harter, Philipp, Hasmad, Hanis Nazihah, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Estrid, Hogdall, Claus, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, James, Paul, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Kruger Kjaer, Susanne, Kelemen, Linda E, Kellar, Melissa, Kelley, Joseph L, Kiemeney, Lambertus A, Krakstad, Camilla, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, Nevanlinna, Heli, McNeish, Ian, and Menon, Usha

Subjects
Australian Ovarian Cancer Study Group, Cell Line, Tumor, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Genetic Predisposition to Disease, Homeodomain Proteins, Neoplasm Proteins, Gene Expression Regulation, Neoplastic, Protein Binding, Quantitative Trait Loci, Female, Nuchal Cord, Genetic Association Studies, Carcinoma, Ovarian Epithelial, Cell Line, Tumor, Neoplasms, Glandular and Epithelial, Gene Expression Regulation, Neoplastic, Carcinoma, Ovarian Epithelial, Rare Diseases, Prevention, Ovarian Cancer, Biotechnology, Human Genome, Cancer, Genetics, 2.1 Biological and endogenous factors
Abstract

Genome-wide association studies have reported 11 regions conferring risk of high-grade serous epithelial ovarian cancer (HGSOC). Expression quantitative trait locus (eQTL) analyses can identify candidate susceptibility genes at risk loci. Here we evaluate cis-eQTL associations at 47 regions associated with HGSOC risk (P≤10(-5)). For three cis-eQTL associations (P

Published
2015

29. Genome-wide significant risk associations for mucinous ovarian carcinoma (vol 47, pg 888, 2015)

Author

Kelemen, Linda E, Lawrenson, Kate, Tyrer, Jonathan, Li, Qiyuan, Lee, Janet M, Seo, Ji-Heui, Phelan, Catherine M, Beesley, Jonathan, Chen, Xiaoqing, Spindler, Tassja J, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Baker, Helen, Bandera, Elisa V, Bean, Yukie, Beckmann, Matthias W, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Chen, Y Ann, Chen, Zhihua, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Dennis, Joe, Dicks, Ed, Doherty, Jennifer A, Doerk, Thilo, du Bois, Andreas, Duerst, Matthias, Eccles, Diana, Easton, Douglas T, Edwards, Robert P, Eilber, Ursula, Ekici, Arif B, Engelholm, Svend Aage, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goode, Ellen L, Goodman, Marc T, Grownwald, Jacek, Harrington, Patricia, Harter, Philipp, Hasmad, Hanis Nazihah, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Estrid, Hogdall, Claus, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Kellar, Melissa, Kelley, Joseph L, Kiemeney, Lambertus A, Krakstad, Camilla, Kjaer, Susanne K, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Iain, Menon, Usha, Modugno, Francesmary, Moes-Sosnowska, Joanna, Moysich, Kirsten B, Narod, Steven A, and Nedergaard, Lotte

Subjects
Developmental Biology, Medical and Health Sciences, Biological Sciences
Published
2015

30. IARC monographs: 40 years of evaluating carcinogenic hazards to humans.

Author

Pearce, Neil, Blair, Aaron, Vineis, Paolo, Ahrens, Wolfgang, Andersen, Aage, Anto, Josep M, Armstrong, Bruce K, Baccarelli, Andrea A, Beland, Frederick A, Berrington, Amy, Bertazzi, Pier Alberto, Birnbaum, Linda S, Brownson, Ross C, Bucher, John R, Cantor, Kenneth P, Cardis, Elisabeth, Cherrie, John W, Christiani, David C, Cocco, Pierluigi, Coggon, David, Comba, Pietro, Demers, Paul A, Dement, John M, Douwes, Jeroen, Eisen, Ellen A, Engel, Lawrence S, Fenske, Richard A, Fleming, Lora E, Fletcher, Tony, Fontham, Elizabeth, Forastiere, Francesco, Frentzel-Beyme, Rainer, Fritschi, Lin, Gerin, Michel, Goldberg, Marcel, Grandjean, Philippe, Grimsrud, Tom K, Gustavsson, Per, Haines, Andy, Hartge, Patricia, Hansen, Johnni, Hauptmann, Michael, Heederik, Dick, Hemminki, Kari, Hemon, Denis, Hertz-Picciotto, Irva, Hoppin, Jane A, Huff, James, Jarvholm, Bengt, Kang, Daehee, Karagas, Margaret R, Kjaerheim, Kristina, Kjuus, Helge, Kogevinas, Manolis, Kriebel, David, Kristensen, Petter, Kromhout, Hans, Laden, Francine, Lebailly, Pierre, LeMasters, Grace, Lubin, Jay H, Lynch, Charles F, Lynge, Elsebeth, 't Mannetje, Andrea, McMichael, Anthony J, McLaughlin, John R, Marrett, Loraine, Martuzzi, Marco, Merchant, James A, Merler, Enzo, Merletti, Franco, Miller, Anthony, Mirer, Franklin E, Monson, Richard, Nordby, Karl-Cristian, Olshan, Andrew F, Parent, Marie-Elise, Perera, Frederica P, Perry, Melissa J, Pesatori, Angela Cecilia, Pirastu, Roberta, Porta, Miquel, Pukkala, Eero, Rice, Carol, Richardson, David B, Ritter, Leonard, Ritz, Beate, Ronckers, Cecile M, Rushton, Lesley, Rusiecki, Jennifer A, Rusyn, Ivan, Samet, Jonathan M, Sandler, Dale P, de Sanjose, Silvia, Schernhammer, Eva, Costantini, Adele Seniori, Seixas, Noah, Shy, Carl, Siemiatycki, Jack, and Silverman, Debra T

Subjects
Humans, Neoplasms, Carcinogens, Environmental, Public Health, Biomedical Research, Publications, International Agencies, Environmental Sciences, Medical and Health Sciences, Toxicology
Abstract

BackgroundRecently, the International Agency for Research on Cancer (IARC) Programme for the Evaluation of Carcinogenic Risks to Humans has been criticized for several of its evaluations, and also for the approach used to perform these evaluations. Some critics have claimed that failures of IARC Working Groups to recognize study weaknesses and biases of Working Group members have led to inappropriate classification of a number of agents as carcinogenic to humans.ObjectivesThe authors of this Commentary are scientists from various disciplines relevant to the identification and hazard evaluation of human carcinogens. We examined criticisms of the IARC classification process to determine the validity of these concerns. Here, we present the results of that examination, review the history of IARC evaluations, and describe how the IARC evaluations are performed.DiscussionWe concluded that these recent criticisms are unconvincing. The procedures employed by IARC to assemble Working Groups of scientists from the various disciplines and the techniques followed to review the literature and perform hazard assessment of various agents provide a balanced evaluation and an appropriate indication of the weight of the evidence. Some disagreement by individual scientists to some evaluations is not evidence of process failure. The review process has been modified over time and will undoubtedly be altered in the future to improve the process. Any process can in theory be improved, and we would support continued review and improvement of the IARC processes. This does not mean, however, that the current procedures are flawed.ConclusionsThe IARC Monographs have made, and continue to make, major contributions to the scientific underpinning for societal actions to improve the public's health.

Published
2015

31. Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk

Author

Chornokur, Ganna, Lin, Hui-Yi, Tyrer, Jonathan P, Lawrenson, Kate, Dennis, Joe, Amankwah, Ernest K, Qu, Xiaotao, Tsai, Ya-Yu, Jim, Heather SL, Chen, Zhihua, Chen, Ann Y, Permuth-Wey, Jennifer, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Bruinsma, Fiona, Bandera, Elisa V, Bean, Yukie T, Beckmann, Matthias W, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bunker, Clareann H, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, du Bois, Andreas, Despierre, Evelyn, Dicks, Ed, Doherty, Jennifer A, Dörk, Thilo, Dürst, Matthias, Easton, Douglas F, Eccles, Diana M, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harrington, Patricia, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Claus K, Hogdall, Estrid, Hosono, Satoyo, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Kelemen, Linda E, Kellar, Mellissa, Kiemeney, Lambertus A, Krakstad, Camilla, Kjaer, Susanne K, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lim, Boon Kiong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Iain, Menon, Usha, Milne, Roger L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Nevanlinna, Heli, Eilber, Ursula, Odunsi, Kunle, Olson, Sara H, and Orlow, Irene

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Ovarian Cancer, Cancer, Women's Health, Rare Diseases, 2.1 Biological and endogenous factors, Black or African American, Alleles, Asian, Biological Transport, Carcinoma, Ovarian Epithelial, Carrier Proteins, Case-Control Studies, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Humans, Neoplasms, Glandular and Epithelial, Odds Ratio, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Risk, Georgia Chenevix-Trench, AOCS management group, General Science & Technology
Abstract

BackgroundDefective cellular transport processes can lead to aberrant accumulation of trace elements, iron, small molecules and hormones in the cell, which in turn may promote the formation of reactive oxygen species, promoting DNA damage and aberrant expression of key regulatory cancer genes. As DNA damage and uncontrolled proliferation are hallmarks of cancer, including epithelial ovarian cancer (EOC), we hypothesized that inherited variation in the cellular transport genes contributes to EOC risk.MethodsIn total, DNA samples were obtained from 14,525 case subjects with invasive EOC and from 23,447 controls from 43 sites in the Ovarian Cancer Association Consortium (OCAC). Two hundred seventy nine SNPs, representing 131 genes, were genotyped using an Illumina Infinium iSelect BeadChip as part of the Collaborative Oncological Gene-environment Study (COGS). SNP analyses were conducted using unconditional logistic regression under a log-additive model, and the FDR q

Published
2015

32. Common Genetic Variation in Circadian Rhythm Genes and Risk of Epithelial Ovarian Cancer (EOC)

Author

Jim, Heather SL, Lin, Hui-Yi, Tyrer, Jonathan P, Lawrenson, Kate, Dennis, Joe, Chornokur, Ganna, Chen, Zhihua, Chen, Ann Y, Permuth-Wey, Jennifer, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Bruinsma, Fiona, Bandera, Elisa V, Bean, Yukie T, Beckmann, Matthias W, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bunker, Clareann H, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, du Bois, Andreas, Despierre, Evelyn, Sieh, Weiva, Doherty, Jennifer A, Dörk, Thilo, Dürst, Matthias, Easton, Douglas F, Eccles, Diana M, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harter, Philipp, Hasmad, Hanis N, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Claus K, Hogdall, Estrid, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Kellar, Melissa, Kiemeney, Lambertus A, Krakstad, Camilla, Kjaer, Susanne K, Kupryjanczyk, Jolanta, Vierkant, Robert A, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lim, Boon Kiong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Ian, Menon, Usha, Milne, Roger L, Modugno, Francesmary, Thomsen, Lotte, Moysich, Kirsten B, Ness, Roberta B, Nevanlinna, Heli, Eilber, Ursula, Odunsi, Kunle, Olson, Sara H, Orlow, Irene, and Orsulic, Sandra

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Health Services and Systems, Health Sciences, Oncology and Carcinogenesis, Cancer, Women's Health, Ovarian Cancer, Prevention, Rare Diseases, Sleep Research, Human Genome, Genetic Testing, 2.1 Biological and endogenous factors, Georgia Chenevix-Trench on behalf of the AOCS management group 95, 96
Abstract

Disruption in circadian gene expression, whether due to genetic variation or environmental factors (e.g., light at night, shiftwork), is associated with increased incidence of breast, prostate, gastrointestinal and hematologic cancers and gliomas. Circadian genes are highly expressed in the ovaries where they regulate ovulation; circadian disruption is associated with several ovarian cancer risk factors (e.g., endometriosis). However, no studies have examined variation in germline circadian genes as predictors of ovarian cancer risk and invasiveness. The goal of the current study was to examine single nucleotide polymorphisms (SNPs) in circadian genes BMAL1, CRY2, CSNK1E, NPAS2, PER3, REV1 and TIMELESS and downstream transcription factors KLF10 and SENP3 as predictors of risk of epithelial ovarian cancer (EOC) and histopathologic subtypes. The study included a test set of 3,761 EOC cases and 2,722 controls and a validation set of 44,308 samples including 18,174 (10,316 serous) cases and 26,134 controls from 43 studies participating in the Ovarian Cancer Association Consortium (OCAC). Analysis of genotype data from 36 genotyped SNPs and 4600 imputed SNPs indicated that the most significant association was rs117104877 in BMAL1 (OR = 0.79, 95% CI = 0.68-0.90, p = 5.59 × 10-4]. Functional analysis revealed a significant down regulation of BMAL1 expression following cMYC overexpression and increasing transformation in ovarian surface epithelial (OSE) cells as well as alternative splicing of BMAL1 exons in ovarian and granulosa cells. These results suggest that variation in circadian genes, and specifically BMAL1, may be associated with risk of ovarian cancer, likely through disruption of hormonal pathways.

Published
2015

33. Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author

Dareng, Eileen O., Tyrer, Jonathan P., Barnes, Daniel R., Jones, Michelle R., Yang, Xin, Aben, Katja K. H., Adank, Muriel A., Agata, Simona, Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Aravantinos, Gerasimos, Arun, Banu K., Augustinsson, Annelie, Balmaña, Judith, Bandera, Elisa V., Barkardottir, Rosa B., Barrowdale, Daniel, Beckmann, Matthias W., Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q., Bjorge, Line, Black, Amanda, Bogdanova, Natalia V., Bonanni, Bernardo, Borg, Ake, Brenton, James D., Budzilowska, Agnieszka, Butzow, Ralf, Buys, Saundra S., Cai, Hui, Caligo, Maria A., Campbell, Ian, Cannioto, Rikki, Cassingham, Hayley, Chang-Claude, Jenny, Chanock, Stephen J., Chen, Kexin, Chiew, Yoke-Eng, Chung, Wendy K., Claes, Kathleen B. M., Colonna, Sarah, Cook, Linda S., Couch, Fergus J., Daly, Mary B., Dao, Fanny, Davies, Eleanor, de la Hoya, Miguel, de Putter, Robin, Dennis, Joe, DePersia, Allison, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer A., Domchek, Susan M., Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana M., Eliassen, Heather A., Engel, Christoph, Evans, Gareth D., Fasching, Peter A., Flanagan, James M., Fortner, Renée T., Machackova, Eva, Friedman, Eitan, Ganz, Patricia A., Garber, Judy, Gensini, Francesca, Giles, Graham G., Glendon, Gord, Godwin, Andrew K., Goodman, Marc T., Greene, Mark H., Gronwald, Jacek, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hamann, Ute, Hansen, Thomas V. O., Harris, Holly R., Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle A. T., Høgdall, Estrid, Høgdall, Claus K., Hopper, John L., Huang, Ruea-Yea, Huff, Chad, Hulick, Peter J., Huntsman, David G., Imyanitov, Evgeny N., Isaacs, Claudine, Jakubowska, Anna, James, Paul A., Janavicius, Ramunas, Jensen, Allan, Johannsson, Oskar Th., John, Esther M., Jones, Michael E., Kang, Daehee, Karlan, Beth Y., Karnezis, Anthony, Kelemen, Linda E., Khusnutdinova, Elza, Kiemeney, Lambertus A., Kim, Byoung-Gie, Kjaer, Susanne K., Komenaka, Ian, Kupryjanczyk, Jolanta, Kurian, Allison W., Kwong, Ava, Lambrechts, Diether, Larson, Melissa C., Lazaro, Conxi, Le, Nhu D., Leslie, Goska, Lester, Jenny, Lesueur, Fabienne, Levine, Douglas A., Li, Lian, Li, Jingmei, Loud, Jennifer T., Lu, Karen H., Lubiński, Jan, Mai, Phuong L., Manoukian, Siranoush, Marks, Jeffrey R., Matsuno, Rayna Kim, Matsuo, Keitaro, May, Taymaa, McGuffog, Lesley, McLaughlin, John R., McNeish, Iain A., Mebirouk, Noura, Menon, Usha, Miller, Austin, Milne, Roger L., Minlikeeva, Albina, Modugno, Francesmary, Montagna, Marco, Moysich, Kirsten B., Munro, Elizabeth, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Yie, Joanne Ngeow Yuen, Nielsen, Henriette Roed, Nielsen, Finn C., Nikitina-Zake, Liene, Odunsi, Kunle, Offit, Kenneth, Olah, Edith, Olbrecht, Siel, Olopade, Olufunmilayo I., Olson, Sara H., Olsson, Håkan, Osorio, Ana, Papi, Laura, Park, Sue K., Parsons, Michael T., Pathak, Harsha, Pedersen, Inge Sokilde, Peixoto, Ana, Pejovic, Tanja, Perez-Segura, Pedro, Permuth, Jennifer B., Peshkin, Beth, Peterlongo, Paolo, Piskorz, Anna, Prokofyeva, Darya, Radice, Paolo, Rantala, Johanna, Riggan, Marjorie J., Risch, Harvey A., Rodriguez-Antona, Cristina, Ross, Eric, Rossing, Mary Anne, Runnebaum, Ingo, Sandler, Dale P., Santamariña, Marta, Soucy, Penny, Schmutzler, Rita K., Setiawan, V. Wendy, Shan, Kang, Sieh, Weiva, Simard, Jacques, Singer, Christian F., Sokolenko, Anna P., Song, Honglin, Southey, Melissa C., Steed, Helen, Stoppa-Lyonnet, Dominique, Sutphen, Rebecca, Swerdlow, Anthony J., Tan, Yen Yen, Teixeira, Manuel R., Teo, Soo Hwang, Terry, Kathryn L., Terry, Mary Beth, Thomassen, Mads, Thompson, Pamela J., Thomsen, Liv Cecilie Vestrheim, Thull, Darcy L., Tischkowitz, Marc, Titus, Linda, Toland, Amanda E., Torres, Diana, Trabert, Britton, Travis, Ruth, Tung, Nadine, Tworoger, Shelley S., Valen, Ellen, van Altena, Anne M., van der Hout, Annemieke H., Van Nieuwenhuysen, Els, van Rensburg, Elizabeth J., Vega, Ana, Edwards, Digna Velez, Vierkant, Robert A., Wang, Frances, Wappenschmidt, Barbara, Webb, Penelope M., Weinberg, Clarice R., Weitzel, Jeffrey N., Wentzensen, Nicolas, White, Emily, Whittemore, Alice S., Winham, Stacey J., Wolk, Alicja, Woo, Yin-Ling, Wu, Anna H., Yan, Li, Yannoukakos, Drakoulis, Zavaglia, Katia M., Zheng, Wei, Ziogas, Argyrios, Zorn, Kristin K., Kleibl, Zdenek, Easton, Douglas, Lawrenson, Kate, DeFazio, Anna, Sellers, Thomas A., Ramus, Susan J., Pearce, Celeste L., Monteiro, Alvaro N., Cunningham, Julie, Goode, Ellen L., Schildkraut, Joellen M., Berchuck, Andrew, Chenevix-Trench, Georgia, Gayther, Simon A., Antoniou, Antonis C., and Pharoah, Paul D. P.

Published
2022
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34. Consortium analysis of gene and gene-folate interactions in purine and pyrimidine metabolism pathways with ovarian carcinoma risk.

Author

Kelemen, Linda E, Terry, Kathryn L, Goodman, Marc T, Webb, Penelope M, Bandera, Elisa V, McGuire, Valerie, Rossing, Mary Anne, Wang, Qinggang, Dicks, Ed, Tyrer, Jonathan P, Song, Honglin, Kupryjanczyk, Jolanta, Dansonka-Mieszkowska, Agnieszka, Plisiecka-Halasa, Joanna, Timorek, Agnieszka, Menon, Usha, Gentry-Maharaj, Aleksandra, Gayther, Simon A, Ramus, Susan J, Narod, Steven A, Risch, Harvey A, McLaughlin, John R, Siddiqui, Nadeem, Glasspool, Rosalind, Paul, James, Carty, Karen, Gronwald, Jacek, Lubiński, Jan, Jakubowska, Anna, Cybulski, Cezary, Kiemeney, Lambertus A, Massuger, Leon FAG, van Altena, Anne M, Aben, Katja KH, Olson, Sara H, Orlow, Irene, Cramer, Daniel W, Levine, Douglas A, Bisogna, Maria, Giles, Graham G, Southey, Melissa C, Bruinsma, Fiona, Kjaer, Susanne K, Høgdall, Estrid, Jensen, Allan, Høgdall, Claus K, Lundvall, Lene, Engelholm, Svend-Aage, Heitz, Florian, du Bois, Andreas, Harter, Philipp, Schwaab, Ira, Butzow, Ralf, Nevanlinna, Heli, Pelttari, Liisa M, Leminen, Arto, Thompson, Pamela J, Lurie, Galina, Wilkens, Lynne R, Lambrechts, Diether, Van Nieuwenhuysen, Els, Lambrechts, Sandrina, Vergote, Ignace, Beesley, Jonathan, AOCS Study Group/ACS Investigators, Fasching, Peter A, Beckmann, Matthias W, Hein, Alexander, Ekici, Arif B, Doherty, Jennifer A, Wu, Anna H, Pearce, Celeste L, Pike, Malcolm C, Stram, Daniel, Chang-Claude, Jenny, Rudolph, Anja, Dörk, Thilo, Dürst, Matthias, Hillemanns, Peter, Runnebaum, Ingo B, Bogdanova, Natalia, Antonenkova, Natalia, Odunsi, Kunle, Edwards, Robert P, Kelley, Joseph L, Modugno, Francesmary, Ness, Roberta B, Karlan, Beth Y, Walsh, Christine, Lester, Jenny, Orsulic, Sandra, Fridley, Brooke L, Vierkant, Robert A, Cunningham, Julie M, Wu, Xifeng, Lu, Karen, Liang, Dong, Hildebrandt, Michelle AT, Weber, Rachel Palmieri, and Iversen, Edwin S

Subjects
AOCS Study Group/ACS Investigators, Humans, Carcinoma, Ovarian Neoplasms, Folic Acid Deficiency, Genetic Predisposition to Disease, Folic Acid, Dihydrouracil Dehydrogenase (NADP), Neoplasm Proteins, Diet, Multivariate Analysis, Risk Factors, Case-Control Studies, Energy Intake, Polymorphism, Single Nucleotide, Dietary Supplements, European Continental Ancestry Group, Female, Genome-Wide Association Study, Global Health, Case-control, Dihydropyrimidine dehydrogenase, Folate, Polymorphism, Serine hydroxymethyltransferase 1, Rare Diseases, Cancer, Ovarian Cancer, Genetics, Nutrition, 2.1 Biological and endogenous factors, Nutrition & Dietetics, Food Science, Food Sciences, Nutrition and Dietetics, Public Health and Health Services
Abstract

ScopeWe reevaluated previously reported associations between variants in pathways of one-carbon (1-C) (folate) transfer genes and ovarian carcinoma (OC) risk, and in related pathways of purine and pyrimidine metabolism, and assessed interactions with folate intake.Methods and resultsOdds ratios (OR) for 446 genetic variants were estimated among 13,410 OC cases and 22,635 controls, and among 2281 cases and 3444 controls with folate information. Following multiple testing correction, the most significant main effect associations were for dihydropyrimidine dehydrogenase (DPYD) variants rs11587873 (OR = 0.92; p = 6 × 10⁻⁵) and rs828054 (OR = 1.06; p = 1 × 10⁻⁴). Thirteen variants in the pyrimidine metabolism genes, DPYD, DPYS, PPAT, and TYMS, also interacted significantly with folate in a multivariant analysis (corrected p = 9.9 × 10⁻⁶) but collectively explained only 0.2% of OC risk. Although no other associations were significant after multiple testing correction, variants in SHMT1 in 1-C transfer, previously reported with OC, suggested lower risk at higher folate (p(interaction) = 0.03-0.006).ConclusionVariation in pyrimidine metabolism genes, particularly DPYD, which was previously reported to be associated with OC, may influence risk; however, stratification by folate intake is unlikely to modify disease risk appreciably in these women. SHMT1 SNP-by-folate interactions are plausible but require further validation. Polymorphisms in selected genes in purine metabolism were not associated with OC.

Published
2014

35. Hierarchical modeling identifies novel lung cancer susceptibility variants in inflammation pathways among 10,140 cases and 11,012 controls

Author

Brenner, Darren R, Brennan, Paul, Boffetta, Paolo, Amos, Christopher I, Spitz, Margaret R, Chen, Chu, Goodman, Gary, Heinrich, Joachim, Bickeböller, Heike, Rosenberger, Albert, Risch, Angela, Muley, Thomas, McLaughlin, John R, Benhamou, Simone, Bouchardy, Christine, Lewinger, Juan Pablo, Witte, John S, Chen, Gary, Bull, Shelley, and Hung, Rayjean J

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Prevention, Lung Cancer, Human Genome, Lung, Cancer, Aetiology, 2.1 Biological and endogenous factors, Alleles, Canada, Case-Control Studies, Europe, Female, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Genotype, Humans, Inflammation, Likelihood Functions, Lung Neoplasms, Male, Middle Aged, Models, Statistical, Polymorphism, Single Nucleotide, Risk, United States, White People, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine, Genetics & Heredity, Reproductive medicine
Abstract

Recent evidence suggests that inflammation plays a pivotal role in the development of lung cancer. In this study, we used a two-stage approach to investigate associations between genetic variants in inflammation pathways and lung cancer risk based on genome-wide association study (GWAS) data. A total of 7,650 sequence variants from 720 genes relevant to inflammation pathways were identified using keyword and pathway searches from Gene Cards and Gene Ontology databases. In Stage 1, six GWAS datasets from the International Lung Cancer Consortium were pooled (4,441 cases and 5,094 controls of European ancestry), and a hierarchical modeling (HM) approach was used to incorporate prior information for each of the variants into the analysis. The prior matrix was constructed using (1) role of genes in the inflammation and immune pathways; (2) physical properties of the variants including the location of the variants, their conservation scores and amino acid coding; (3) LD with other functional variants and (4) measures of heterogeneity across the studies. HM affected the priority ranking of variants particularly among those having low prior weights, imprecise estimates and/or heterogeneity across studies. In Stage 2, we used an independent NCI lung cancer GWAS study (5,699 cases and 5,818 controls) for in silico replication. We identified one novel variant at the level corrected for multiple comparisons (rs2741354 in EPHX2 at 8p21.1 with p value = 7.4 × 10(-6)), and confirmed the associations between TERT (rs2736100) and the HLA region and lung cancer risk. HM allows for prior knowledge such as from bioinformatic sources to be incorporated into the analysis systematically, and it represents a complementary analytical approach to the conventional GWAS analysis.

Published
2013

36. Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer

Author

Shen, Hui, Fridley, Brooke L, Song, Honglin, Lawrenson, Kate, Cunningham, Julie M, Ramus, Susan J, Cicek, Mine S, Tyrer, Jonathan, Stram, Douglas, Larson, Melissa C, Köbel, Martin, Ziogas, Argyrios, Zheng, Wei, Yang, Hannah P, Wu, Anna H, Wozniak, Eva L, Ling Woo, Yin, Winterhoff, Boris, Wik, Elisabeth, Whittemore, Alice S, Wentzensen, Nicolas, Palmieri Weber, Rachel, Vitonis, Allison F, Vincent, Daniel, Vierkant, Robert A, Vergote, Ignace, Van Den Berg, David, Van Altena, Anne M, Tworoger, Shelley S, Thompson, Pamela J, Tessier, Daniel C, Terry, Kathryn L, Teo, Soo-Hwang, Templeman, Claire, Stram, Daniel O, Southey, Melissa C, Sieh, Weiva, Siddiqui, Nadeem, Shvetsov, Yurii B, Shu, Xiao-Ou, Shridhar, Viji, Wang-Gohrke, Shan, Severi, Gianluca, Schwaab, Ira, Salvesen, Helga B, Rzepecka, Iwona K, Runnebaum, Ingo B, Anne Rossing, Mary, Rodriguez-Rodriguez, Lorna, Risch, Harvey A, Renner, Stefan P, Poole, Elizabeth M, Pike, Malcolm C, Phelan, Catherine M, Pelttari, Liisa M, Pejovic, Tanja, Paul, James, Orlow, Irene, Zawiah Omar, Siti, Olson, Sara H, Odunsi, Kunle, Nickels, Stefan, Nevanlinna, Heli, Ness, Roberta B, Narod, Steven A, Nakanishi, Toru, Moysich, Kirsten B, Monteiro, Alvaro NA, Moes-Sosnowska, Joanna, Modugno, Francesmary, Menon, Usha, McLaughlin, John R, McGuire, Valerie, Matsuo, Keitaro, Mat Adenan, Noor Azmi, Massuger, Leon FAG, Lurie, Galina, Lundvall, Lene, Lubiński, Jan, Lissowska, Jolanta, Levine, Douglas A, Leminen, Arto, Lee, Alice W, Le, Nhu D, Lambrechts, Sandrina, Lambrechts, Diether, Kupryjanczyk, Jolanta, Krakstad, Camilla, Konecny, Gottfried E, Krüger Kjaer, Susanne, Kiemeney, Lambertus A, Kelemen, Linda E, Keeney, Gary L, Karlan, Beth Y, Karevan, Rod, Kalli, Kimberly R, Kajiyama, Hiroaki, Ji, Bu-Tian, Jensen, Allan, and Jakubowska, Anna

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Cancer, Prevention, Rare Diseases, Human Genome, Ovarian Cancer, Cancer Genomics, Women's Health, 2.1 Biological and endogenous factors, DNA Methylation, Epigenesis, Genetic, Female, Gene Expression Profiling, Genetic Predisposition to Disease, Hepatocyte Nuclear Factor 1-beta, Humans, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, PRACTICAL Consortium, Australian Ovarian Cancer Study Group, Australian Cancer Study
Abstract

HNF1B is overexpressed in clear cell epithelial ovarian cancer, and we observed epigenetic silencing in serous epithelial ovarian cancer, leading us to hypothesize that variation in this gene differentially associates with epithelial ovarian cancer risk according to histological subtype. Here we comprehensively map variation in HNF1B with respect to epithelial ovarian cancer risk and analyse DNA methylation and expression profiles across histological subtypes. Different single-nucleotide polymorphisms associate with invasive serous (rs7405776 odds ratio (OR)=1.13, P=3.1 × 10(-10)) and clear cell (rs11651755 OR=0.77, P=1.6 × 10(-8)) epithelial ovarian cancer. Risk alleles for the serous subtype associate with higher HNF1B-promoter methylation in these tumours. Unmethylated, expressed HNF1B, primarily present in clear cell tumours, coincides with a CpG island methylator phenotype affecting numerous other promoters throughout the genome. Different variants in HNF1B associate with risk of serous and clear cell epithelial ovarian cancer; DNA methylation and expression patterns are also notably distinct between these subtypes. These findings underscore distinct mechanisms driving different epithelial ovarian cancer histological subtypes.

Published
2013

37. Previous Lung Diseases and Lung Cancer Risk: A Pooled Analysis From the International Lung Cancer Consortium

Author

Brenner, Darren R, Boffetta, Paolo, Duell, Eric J, Bickeböller, Heike, Rosenberger, Albert, McCormack, Valerie, Muscat, Joshua E, Yang, Ping, Wichmann, H-Erich, Brueske-Hohlfeld, Irene, Schwartz, Ann G, Cote, Michele L, Tjønneland, Anne, Friis, Søren, Le Marchand, Loic, Zhang, Zuo-Feng, Morgenstern, Hal, Szeszenia-Dabrowska, Neonila, Lissowska, Jolanta, Zaridze, David, Rudnai, Peter, Fabianova, Eleonora, Foretova, Lenka, Janout, Vladimir, Bencko, Vladimir, Schejbalova, Miriam, Brennan, Paul, Mates, Ioan N, Lazarus, Philip, Field, John K, Raji, Olaide, McLaughlin, John R, Liu, Geoffrey, Wiencke, John, Neri, Monica, Ugolini, Donatella, Andrew, Angeline S, Lan, Qing, Hu, Wei, Orlow, Irene, Park, Bernard J, and Hung, Rayjean J

Subjects
Epidemiology, Health Services and Systems, Health Sciences, Infectious Diseases, Cancer, Prevention, Lung, Tobacco, Emerging Infectious Diseases, Tobacco Smoke and Health, Lung Cancer, Chronic Obstructive Pulmonary Disease, Respiratory, Good Health and Well Being, Bronchitis, Chronic, Humans, Logistic Models, Lung Neoplasms, Pneumonia, Proportional Hazards Models, Pulmonary Emphysema, Risk, Risk Factors, Self Report, Tuberculosis, Pulmonary, bronchitis, chronic, emphysema, lung diseases, lung neoplasms, meta-analysis, pneumonia, pulmonary disease, chronic obstructive, tuberculosis, Mathematical Sciences, Medical and Health Sciences
Abstract

To clarify the role of previous lung diseases (chronic bronchitis, emphysema, pneumonia, and tuberculosis) in the development of lung cancer, the authors conducted a pooled analysis of studies in the International Lung Cancer Consortium. Seventeen studies including 24,607 cases and 81,829 controls (noncases), mainly conducted in Europe and North America, were included (1984-2011). Using self-reported data on previous diagnoses of lung diseases, the authors derived study-specific effect estimates by means of logistic regression models or Cox proportional hazards models adjusted for age, sex, and cumulative tobacco smoking. Estimates were pooled using random-effects models. Analyses stratified by smoking status and histology were also conducted. A history of emphysema conferred a 2.44-fold increased risk of lung cancer (95% confidence interval (CI): 1.64, 3.62 (16 studies)). A history of chronic bronchitis conferred a relative risk of 1.47 (95% CI: 1.29, 1.68 (13 studies)). Tuberculosis (relative risk = 1.48, 95% CI: 1.17, 1.87 (16 studies)) and pneumonia (relative risk = 1.57, 95% CI: 1.22, 2.01 (12 studies)) were also associated with lung cancer risk. Among never smokers, elevated risks were observed for emphysema, pneumonia, and tuberculosis. These results suggest that previous lung diseases influence lung cancer risk independently of tobacco use and that these diseases are important for assessing individual risk.

Published
2012

38. A Formula for Finding a Potential from Nodal Lines

Author

McLaughlin, Joyce R. and Hald, Ole H.

Subjects
Mathematics - Analysis of PDEs
Abstract

In this announcement we consider an eigenvalue problem which arises in the study of rectangular membranes. The mathematical model is an elliptic equation, in potential form, with Dirichlet boundary conditions. We have shown that the potential is uniquely determined, up to an additive constant, by a subset of the nodal lines of the eigenfunctions. A formula is given which, when the additive constant is fixed, yields an approximation to the potential at a dense set of points. An estimate is presented for the error made by the formula., Comment: 7 pages

Published
1995

39. Adult height is associated with increased risk of ovarian cancer: a Mendelian randomisation study

Author

Dixon-Suen, Suzanne C., Nagle, Christina M., Thrift, Aaron P., Pharoah, Paul D. P., Ewing, Ailith, Pearce, Celeste Leigh, Zheng, Wei, Australian Ovarian Cancer Study Group, Chenevix-Trench, Georgia, Fasching, Peter A., Beckmann, Matthias W., Lambrechts, Diether, Vergote, Ignace, Lambrechts, Sandrina, Van Nieuwenhuysen, Els, Rossing, Mary Anne, Doherty, Jennifer A., Wicklund, Kristine G., Chang-Claude, Jenny, Jung, Audrey Y., Moysich, Kirsten B., Odunsi, Kunle, Goodman, Marc T., Wilkens, Lynne R., Thompson, Pamela J., Shvetsov, Yurii B., Dörk, Thilo, Park-Simon, Tjoung-Won, Hillemanns, Peter, Bogdanova, Natalia, Butzow, Ralf, Nevanlinna, Heli, Pelttari, Liisa M., Leminen, Arto, Modugno, Francesmary, Ness, Roberta B., Edwards, Robert P., Kelley, Joseph L., Heitz, Florian, du Bois, Andreas, Harter, Philipp, Schwaab, Ira, Karlan, Beth Y., Lester, Jenny, Orsulic, Sandra, Rimel, Bobbie J., Kjær, Susanne K., Høgdall, Estrid, Jensen, Allan, Goode, Ellen L., Fridley, Brooke L., Cunningham, Julie M., Winham, Stacey J., Giles, Graham G., Bruinsma, Fiona, Milne, Roger L., Southey, Melissa C., Hildebrandt, Michelle A. T., Wu, Xifeng, Lu, Karen H., Liang, Dong, Levine, Douglas A., Bisogna, Maria, Schildkraut, Joellen M., Berchuck, Andrew, Cramer, Daniel W., Terry, Kathryn L., Bandera, Elisa V., Olson, Sara H., Salvesen, Helga B., Thomsen, Liv Cecilie Vestrheim, Kopperud, Reidun K., Bjorge, Line, Kiemeney, Lambertus A., Massuger, Leon F. A. G., Pejovic, Tanja, Bruegl, Amanda, Cook, Linda S., Le, Nhu D., Swenerton, Kenneth D., Brooks-Wilson, Angela, Kelemen, Linda E., Lubiński, Jan, Huzarski, Tomasz, Gronwald, Jacek, Menkiszak, Janusz, Wentzensen, Nicolas, Brinton, Louise, Yang, Hannah, Lissowska, Jolanta, Høgdall, Claus K., Lundvall, Lene, Song, Honglin, Tyrer, Jonathan P., Campbell, Ian, Eccles, Diana, Paul, James, Glasspool, Rosalind, Siddiqui, Nadeem, Whittemore, Alice S., Sieh, Weiva, McGuire, Valerie, Rothstein, Joseph H., Narod, Steven A., Phelan, Catherine, Risch, Harvey A., McLaughlin, John R., Anton-Culver, Hoda, Ziogas, Argyrios, Menon, Usha, Gayther, Simon A., Ramus, Susan J., Gentry-Maharaj, Aleksandra, Wu, Anna H., Pike, Malcolm C., Tseng, Chiu-Chen, Kupryjanczyk, Jolanta, Dansonka-Mieszkowska, Agnieszka, Budzilowska, Agnieszka, Rzepecka, Iwona K., Webb, Penelope M., and on behalf of the Ovarian Cancer Association Consortium

Published
2018
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40. The Dawes Act, or Indian General Allotment Act of 1887: The Continuing Burden of Allotment. A Selective Annotated Bibliography

Author

McLaughlin, Michael R.

Subjects
federal government/American Indian relations, information compilation, selective power of knowledge
Abstract

PREFACECompilations of information such as bibliographies and legislative histories on major pieces of legislation in American history are plentiful. Some legislation such as the Tax Reform Act of 1986 have legislative histories that fill many shelves of law libraries. However, with the possible exception of the Indian Claims Commission Act, this is not so in the area of federal government/American Indian relations, hereinafter referred to as ”federal Indian law.” My efforts to locate any compiled information on the Indian General Allotment or Dawes Act in the offices of Indian interest groups and government repositories in Washington, D.C., at regional offices of the National Archives, and at law schools revealed that none existed. However, such compilations are at the heart of court decisions, legislation, and government and business practices throughout the modern world; without possession of them, groups are liable to be greatly hindered in their ability to meet new social, economic, and political challenges. Because American society is increasingly technology driven, the old adage ”knowledge is power” takes on increasing significance. Those without the information contained in such compilations are without the power to operate as equals among those who have knowledge and know how to use it. Relegated to secondary status, those without power receive only what the knowledgeable choose to provide or disclose.

Published
1996

41. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

Author

Phelan, Catherine M, Kuchenbaecker, Karoline B, Tyrer, Jonathan P, Kar, Siddhartha P, Lawrenson, Kate, Winham, Stacey J, Dennis, Joe, Pirie, Ailith, Riggan, Marjorie J, Chornokur, Ganna, Earp, Madalene A, Lyra, Jr, Paulo C, Lee, Janet M, Coetzee, Simon, Beesley, Jonathan, McGuffog, Lesley, Soucy, Penny, Dicks, Ed, Lee, Andrew, Barrowdale, Daniel, Lecarpentier, Julie, Leslie, Goska, Aalfs, Cora M, Aben, Katja K H, Adams, Marcia, Adlard, Julian, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia, Aravantinos, Gerasimos, Arnold, Norbert, Arun, Banu K, Arver, Brita, Azzollini, Jacopo, Balmaña, Judith, Banerjee, Susana N, Barjhoux, Laure, Barkardottir, Rosa B, Bean, Yukie, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q, Birrer, Michael J, Bjorge, Line, Black, Amanda, Blankstein, Kenneth, Blok, Marinus J, Bodelon, Clara, Bogdanova, Natalia, Bojesen, Anders, Bonanni, Bernardo, Borg, Åke, Bradbury, Angela R, Brenton, James D, Brewer, Carole, Brinton, Louise, Broberg, Per, Brooks-Wilson, Angela, Bruinsma, Fiona, Brunet, Joan, Buecher, Bruno, Butzow, Ralf, Buys, Saundra S, Caldes, Trinidad, Caligo, Maria A, Campbell, Ian, Cannioto, Rikki, Carney, Michael E, Cescon, Terence, Chan, Salina B, Chang-Claude, Jenny, Chanock, Stephen, Chen, Xiao Qing, Chiew, Yoke-Eng, Chiquette, Jocelyne, Chung, Wendy K, Claes, Kathleen B M, Conner, Thomas, Cook, Linda S, Cook, Jackie, Cramer, Daniel W, Cunningham, Julie M, D'Aloisio, Aimee A, Daly, Mary B, Damiola, Francesca, Damirovna, Sakaeva Dina, Dansonka-Mieszkowska, Agnieszka, Dao, Fanny, Davidson, Rosemarie, DeFazio, Anna, Delnatte, Capucine, Doheny, Kimberly F, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer Anne, Domchek, Susan M, Dorfling, Cecilia M, Dörk, Thilo, Dossus, Laure, Duran, Mercedes, Dürst, Matthias, Dworniczak, Bernd, Eccles, Diana, Edwards, Todd, Eeles, Ros, Eilber, Ursula, Ejlertsen, Bent, Ekici, Arif B, Ellis, Steve, Elvira, Mingajeva, Eng, Kevin H, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Ferguson, Sarah, Ferrer, Sandra Fert, Flanagan, James M, Fogarty, Zachary C, Fortner, Renée T, Fostira, Florentia, Foulkes, William D, Fountzilas, George, Fridley, Brooke L, Friebel, Tara M, Friedman, Eitan, Frost, Debra, Ganz, Patricia A, Garber, Judy, García, María J, Garcia-Barberan, Vanesa, Gehrig, Andrea, Gentry-Maharaj, Aleksandra, Gerdes, Anne-Marie, Giles, Graham G, Glasspool, Rosalind, Glendon, Gord, Godwin, Andrew K, Goldgar, David E, Goranova, Teodora, Gore, Martin, Greene, Mark H, Gronwald, Jacek, Gruber, Stephen, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Hansen, Thomas V O, Harrington, Patricia A, Harris, Holly R, Hauke, Jan, Hein, Alexander, Henderson, Alex, Hildebrandt, Michelle A T, Hillemanns, Peter, Hodgson, Shirley, Høgdall, Claus K, Høgdall, Estrid, Hogervorst, Frans B L, Holland, Helene, Hooning, Maartje J, Hosking, Karen, Huang, Ruea-Yea, Hulick, Peter J, Hung, Jillian, Hunter, David J, Huntsman, David G, Huzarski, Tomasz, Imyanitov, Evgeny N, Isaacs, Claudine, Iversen, Edwin S, Izatt, Louise, Izquierdo, Angel, Jakubowska, Anna, James, Paul, Janavicius, Ramunas, Jernetz, Mats, Jensen, Allan, Jensen, Uffe Birk, John, Esther M, Johnatty, Sharon, Jones, Michael E, Kannisto, Päivi, Karlan, Beth Y, Karnezis, Anthony, Kast, Karin, Kennedy, Catherine J, Khusnutdinova, Elza, Kiemeney, Lambertus A, Kiiski, Johanna I, Kim, Sung-Won, Kjaer, Susanne K, Köbel, Martin, Kopperud, Reidun K, Kruse, Torben A, Kupryjanczyk, Jolanta, Kwong, Ava, Laitman, Yael, Lambrechts, Diether, Larrañaga, Nerea, Larson, Melissa C, Lazaro, Conxi, Le, Nhu D, Le Marchand, Loic, Lee, Jong Won, Lele, Shashikant B, Leminen, Arto, Leroux, Dominique, Lester, Jenny, Lesueur, Fabienne, Levine, Douglas A, Liang, Dong, Liebrich, Clemens, Lilyquist, Jenna, Lipworth, Loren, Lissowska, Jolanta, Lu, Karen H, Lubinński, Jan, Luccarini, Craig, Lundvall, Lene, Mai, Phuong L, Mendoza-Fandiño, Gustavo, Manoukian, Siranoush, Massuger, Leon F A G, May, Taymaa, Mazoyer, Sylvie, McAlpine, Jessica N, McGuire, Valerie, McLaughlin, John R, McNeish, Iain, Meijers-Heijboer, Hanne, Meindl, Alfons, Menon, Usha, Mensenkamp, Arjen R, Merritt, Melissa A, Milne, Roger L, Mitchell, Gillian, Modugno, Francesmary, Moes-Sosnowska, Joanna, Moffitt, Melissa, Montagna, Marco, Moysich, Kirsten B, Mulligan, Anna Marie, Musinsky, Jacob, Nathanson, Katherine L, Nedergaard, Lotte, Ness, Roberta B, Neuhausen, Susan L, Nevanlinna, Heli, Niederacher, Dieter, Nussbaum, Robert L, Odunsi, Kunle, Olah, Edith, Olopade, Olufunmilayo I, Olsson, Håkan, Olswold, Curtis, O'Malley, David M, Ong, Kai-ren, Onland-Moret, N Charlotte, Orr, Nicholas, Orsulic, Sandra, Osorio, Ana, Palli, Domenico, Papi, Laura, Park-Simon, Tjoung-Won, Paul, James, Pearce, Celeste L, Pedersen, Inge Søkilde, Peeters, Petra H M, Peissel, Bernard, Peixoto, Ana, Pejovic, Tanja, Pelttari, Liisa M, Permuth, Jennifer B, Peterlongo, Paolo, Pezzani, Lidia, Pfeiler, Georg, Phillips, Kelly-Anne, Piedmonte, Marion, Pike, Malcolm C, Piskorz, Anna M, Poblete, Samantha R, Pocza, Timea, Poole, Elizabeth M, Poppe, Bruce, Porteous, Mary E, Prieur, Fabienne, Prokofyeva, Darya, Pugh, Elizabeth, Pujana, Miquel Angel, Pujol, Pascal, Radice, Paolo, Rantala, Johanna, Rappaport-Fuerhauser, Christine, Rennert, Gad, Rhiem, Kerstin, Rice, Patricia, Richardson, Andrea, Robson, Mark, Rodriguez, Gustavo C, Rodríguez-Antona, Cristina, Romm, Jane, Rookus, Matti A, Rossing, Mary Anne, Rothstein, Joseph H, Rudolph, Anja, Runnebaum, Ingo B, Salvesen, Helga B, Sandler, Dale P, Schoemaker, Minouk J, Senter, Leigha, Setiawan, V Wendy, Severi, Gianluca, Sharma, Priyanka, Shelford, Tameka, Siddiqui, Nadeem, Side, Lucy E, Sieh, Weiva, Singer, Christian F, Sobol, Hagay, Song, Honglin, Southey, Melissa C, Spurdle, Amanda B, Stadler, Zsofia, Steinemann, Doris, Stoppa-Lyonnet, Dominique, Sucheston-Campbell, Lara E, Sukiennicki, Grzegorz, Sutphen, Rebecca, Sutter, Christian, Swerdlow, Anthony J, Szabo, Csilla I, Szafron, Lukasz, Tan, Yen Y, Taylor, Jack A, Tea, Muy-Kheng, Teixeira, Manuel R, Teo, Soo-Hwang, Terry, Kathryn L, Thompson, Pamela J, Thomsen, Liv Cecilie Vestrheim, Thull, Darcy L, Tihomirova, Laima, Tinker, Anna V, Tischkowitz, Marc, Tognazzo, Silvia, Toland, Amanda Ewart, Tone, Alicia, Trabert, Britton, Travis, Ruth C, Trichopoulou, Antonia, Tung, Nadine, Tworoger, Shelley S, van Altena, Anne M, Van Den Berg, David, van der Hout, Annemarie H, van der Luijt, Rob B, Van Heetvelde, Mattias, Van Nieuwenhuysen, Els, van Rensburg, Elizabeth J, Vanderstichele, Adriaan, Varon-Mateeva, Raymonda, Vega, Ana, Edwards, Digna Velez, Vergote, Ignace, Vierkant, Robert A, Vijai, Joseph, Vratimos, Athanassios, Walker, Lisa, Walsh, Christine, Wand, Dorothea, Wang-Gohrke, Shan, Wappenschmidt, Barbara, Webb, Penelope M, Weinberg, Clarice R, Weitzel, Jeffrey N, Wentzensen, Nicolas, Whittemore, Alice S, Wijnen, Juul T, Wilkens, Lynne R, Wolk, Alicja, Woo, Michelle, Wu, Xifeng, Wu, Anna H, Yang, Hannah, Yannoukakos, Drakoulis, Ziogas, Argyrios, Zorn, Kristin K, Narod, Steven A, Easton, Douglas F, Amos, Christopher I, Schildkraut, Joellen M, Ramus, Susan J, Ottini, Laura, Goodman, Marc T, Park, Sue K, Kelemen, Linda E, Risch, Harvey A, Thomassen, Mads, Offit, Kenneth, Simard, Jacques, Schmutzler, Rita Katharina, Hazelett, Dennis, Monteiro, Alvaro N, Couch, Fergus J, Berchuck, Andrew, Chenevix-Trench, Georgia, Goode, Ellen L, Sellers, Thomas A, Gayther, Simon A, Antoniou, Antonis C, and Pharoah, Paul D P

Published
2017
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45. Advanced Imaging Techniques for the Characterization of Subcellular Organelle Structure in Pancreatic Islet ß Cells

Author

McLaughlin, Madeline R., Weaver, Staci A., Syed, Farooq, and Evans-Molina, Carmella

Abstract

Type 2 diabetes (T2D) affects more than 32.3 million individuals in the United States, creating an economic burden of nearly $966 billion in 2021. T2D results from a combination of insulin resistance and inadequate insulin secretion from the pancreatic ß cell. However, genetic and physiologic data indicate that defects in ß cell function are the chief determinant of whether an individual with insulin resistance will progress to a diagnosis of T2D. The subcellular organelles of the insulin secretory pathway, including the endoplasmic reticulum, Golgi apparatus, and secretory granules, play a critical role in maintaining the heavy biosynthetic burden of insulin production, processing, and secretion. In addition, the mitochondria enable the process of insulin release by integrating the metabolism of nutrients into energy output. Advanced imaging techniques are needed to determine how changes in the structure and composition of these organelles contribute to the loss of insulin secretory capacity in the ß cell during T2D. Several microscopy techniques, including electron microscopy, fluorescence microscopy, and soft X-ray tomography, have been utilized to investigate the structure-function relationship within the ß cell. In this overview article, we will detail the methodology, strengths, and weaknesses of each approach. © 2024 American Physiological Society. Compr Physiol14:5243-5267, 2024. T2D arises from inadequate insulin secretion from the pancreatic ß cell against a background of preexisting insulin resistance. Electron microscopy, fluorescence microscopy, and soft X-ray tomography are techniques used to characterize the structure and function of the intracellular organelles that regulate insulin secretion.Electron microscopy allows for sub-nanometer resolution and three-dimensional reconstruction but does not allow for live cell imaging or the localization of individual molecules.Fluorescence microscopy allows for molecule localization, live cell imaging, three-dimensional reconstruction, and imaging at nanometer resolution, when combined with super-resolution techniques. However, a restricted number of targets can be imaged simultaneously due to the spectral overlap between fluorophores.Soft X-ray tomography preserves physiologic processes by relying on the inherent contrast of organic material within a sample but cannot generate live cell data and has limited resolution.Intravital microscopy allows for live cell imaging within the physiological tissue environment but has limited resolution.

Published
2024
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48. Estimating the Size of Clustered Hidden Populations

Author

Gamble, Laura J, Johnston, Lisa G, Pham, Phuong N, Vinck, Patrick, and McLaughlin, Katherine R

Abstract

Successive sampling population size estimation (SS-PSE) is a method used by government agencies, aid organizations, and researchers around the world to estimate the size of hidden populations using data from respondent-driven sampling surveys. SS-PSE addresses a specific need in estimation, since many countries rely on having accurate size estimates to plan and allocate finite resources to address the needs of hidden populations. However, SS-PSE relies on several assumptions, one of which requires the underlying social network of the hidden population to be fully connected. We propose two modifications to SS-PSE for estimating the size of hidden populations whose underlying social network is composed of disjoint clusters. The first method is a theoretically straightforward extension of SS-PSE, but it relies on prior information that may be difficult to obtain in practice. The second method extends the Bayesian SS-PSE model by introducing a new set of parameters that allow for clustered estimation without requiring the additional prior information. After providing theoretical justification for both novel methods, we then assess their performance using simulations and apply the Clustered SS-PSE method to a population of internally displaced persons in Bamako, Mali.

Published
2023
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49. Working Effectively with the Community Power Structure.

Author

Ohio State Univ., Columbus. National Center for Research in Vocational Education. and McLaughlin, Daniel R.

Abstract

Divided into two sections, this document suggests a number of ways to work with power structures in developing a collaborative effort between business, education, labor, industry, and government. In section I, the author presents his own understanding of power (position power and individual power) and provides a theoretical framework for the actions described in section II. (This theoretical framework includes two basic elements which are needed in working with the power structure: knowledge of self and an understanding of the continual friction between old and new in every society or organization.) In section II, the author describes the process of forming a collaboration with the help of the power structure. The first step described in the process is thinking, a step which requires careful examination of thoughts and the strengthening of convictions. The second step described is to discuss these convictions with peers and trusted associates before presenting these beliefs to strangers. Finally, the author lists twelve guidelines to assist the educator in successfully involving outside groups in education. (BM)

Published
1978

50. Factors Associated with Parenting among Incarcerated Juvenile Offenders.

Author

McLaughlin, Colleen R., Reiner, Scott M., and Reams, Patricia N.

Abstract

Study explores the relationship between adolescent parenting and firearm injuries among 258 incarcerated male adolescents. The results indicate that 20% of the juvenile offenders fathered at least one child. Analyses revealed a significant relationship between firearm injuries and increased prevalence of adolescent parenting. Discusses social and economic implications in terms of health care and social service delivery systems. (Contains 19 references.) (Author/GCP)

Published
1999

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