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1. Association between urinary phthalate biomarker concentrations and adiposity among postmenopausal women.

Author

Vieyra, Gabriela, Hankinson, Susan, Oulhote, Youssef, Vandenberg, Laura, Tinker, Lesley, Manson, JoAnn, Thomson, Cynthia, Bao, Wei, Reeves, Katherine, Odegaard, Andrew, Allison, Matthew, and Shadyab, Aladdin

Subjects
Biomarkers, Phthalates, Postmenopausal, Subcutaneous adiposity, Visceral adiposity, Humans, Female, Adiposity, Postmenopause, Obesity, Biomarkers, Intra-Abdominal Fat
Abstract

BACKGROUND: Obesity is a leading risk factor for chronic diseases, potentially related to excess abdominal adiposity. Phthalates are environmental chemicals that have been suggested to act as obesogens, driving obesity risk. For the associations between phthalates and adiposity, prior studies have focused primarily on body mass index. We hypothesize that more refined measures of adiposity and fat distribution may provide greater insights into these associations given the role of central adiposity in chronic disease risk. OBJECTIVES: To evaluate associations between urinary phthalate biomarkers and both visceral and subcutaneous adipose tissue (VAT and SAT) among postmenopausal women enrolled in the Womens Health Initiative (WHI). METHODS: We included 1125 WHI participants with available, coincident measurements of urinary phthalate biomarkers (baseline, year 3) and VAT and SAT (baseline, year 3, year 6). VAT and SAT measurements were estimated from DXA scans. Multilevel mixed-effects models estimated the prospective associations between urinary phthalate biomarkers at baseline and VAT and SAT three years later. RESULTS: In multivariable adjusted models, we observed positive associations between some phthalate biomarkers, including the sum of di-isobutyl phthalate (ΣDiBP) biomarkers, MCNP, and ΣDEHP, with VAT three years later. For example, we observed positive associations between concentrations of ΣDiBP and VAT (Q4 vs Q1 β = 7.15, 95% CI -1.76-16.06; Q3 vs Q1 β = 10.94, 95% CI 3.55-18.33). Associations were generally attenuated but remained significant after additional adjustment for SAT. MBzP was positively associated with SAT. Other phthalate biomarkers investigated (MEP, MCOP, MCPP, ΣDBP) were not significantly associated with VAT or SAT. DISCUSSION: Based on robust measures of adiposity, this study provides supportive evidence that higher urinary concentrations of select phthalate compounds were associated with higher VAT levels over time in postmenopausal women. Efforts to replicate these findings are needed.

Published
2023

2. Dietary patterns and urinary phthalate exposure among postmenopausal women of the Womens Health Initiative.

Author

Vieyra, Gabriela, Hankinson, Susan, Oulhote, Youssef, Vandenberg, Laura, Tinker, Lesley, Mason, JoAnn, Wallace, Robert, Arcan, Chrisa, Chen, J, Reeves, Katherine, and Shadyab, Aladdin

Subjects
Biomarkers, DASH, DII, Diet, Phthalate, aMed, Humans, Female, Postmenopause, Case-Control Studies, Cross-Sectional Studies, Womens Health, Biomarkers
Abstract

BACKGROUND: Phthalates are endocrine-disrupting chemicals linked to a higher risk of numerous chronic health outcomes. Diet is a primary source of exposure, but prior studies exploring associations between dietary patterns and phthalate exposure are limited. OBJECTIVES: We evaluated the associations between dietary patterns and urinary phthalate biomarkers among a subset of postmenopausal women participating in the Womens Health Initiative (WHI). METHODS: We included WHI participants selected for a nested case-control study of phthalates and breast cancer (N = 1240). Dietary intake was measured via self-administered food frequency questionnaires at baseline and year-3. We used these data to calculate scores for alignment with the Dietary Approach to Stop Hypertension (DASH), alternative Mediterranean (aMed), and Dietary Inflammatory Index (DII) diets. We measured 13 phthalate metabolites and creatinine in 2-3 urine samples per participant collected over 3-years when all participants were cancer-free. We fit multivariable generalized estimating equation models to estimate the cross-sectional associations. RESULTS: DASH and aMed dietary scores were inversely associated with the sum of di(2-Ethylhexyl) phthalate (-6.48%, 95% CI -9.84, -3.00; -5.23%, 95% CI -8.73, -1.60) and DII score was positively associated (9.00%, 95% CI 5.04, 13.11). DASH and aMed scores were also inversely associated with mono benzyl phthalate and mono-3-carboxypropyl phthalate. DII scores were positively associated with mono benzyl phthalate and the sum of di-n-butyl phthalate. DISCUSSION: Higher dietary alignment with DASH and aMed dietary patterns were significantly associated with lower concentrations of certain phthalate biomarkers, while an inflammatory diet pattern was associated with higher phthalate biomarker concentrations. These findings suggest that dietary patterns high in fruits, vegetables, and low-fat foods and low in processed foods may be useful in avoiding exposure to phthalates.

Published
2023

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

Author

Middha, Pooja, Wang, Xiaoliang, Behrens, Sabine, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Baert, Thaïs, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Benitez, Javier, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dossus, Laure, Dugué, Pierre-Antoine, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine D, Fletcher, Olivia, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Giles, Graham G, González-Neira, Anna, Grassmann, Felix, Grundy, Anne, Guénel, Pascal, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan E, Harkness, Elaine F, Holleczek, Bernd, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Ingvar, Christian, Isaksson, Karolin, Jernström, Helena, John, Esther M, Jones, Michael E, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W, Lacey, James V, Lambrechts, Diether, Larson, Nicole L, Larsson, Susanna, Le Marchand, Loic, Lejbkowicz, Flavio, Li, Shuai, Linet, Martha, Lissowska, Jolanta, Martinez, Maria Elena, Maurer, Tabea, Mulligan, Anna Marie, Mulot, Claire, Murphy, Rachel A, Newman, William G, Nielsen, Sune F, Nordestgaard, Børge G, Norman, Aaron, O’Brien, Katie M, Olson, Janet E, Patel, Alpa V, Prentice, Ross, Rees-Punia, Erika, Rennert, Gad, Rhenius, Valerie, Ruddy, Kathryn J, and Sandler, Dale P

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer Genomics, Human Genome, Estrogen, Cancer, Women's Health, Genetics, Prevention, Aging, Breast Cancer, 2.1 Biological and endogenous factors, Adult, Female, Humans, Gene-Environment Interaction, Genetic Predisposition to Disease, Breast Neoplasms, Bayes Theorem, Genome-Wide Association Study, Risk Factors, Polymorphism, Single Nucleotide, Case-Control Studies, Breast cancer, Gene-environment interactions, Genetic epidemiology, European ancestry, CTS Consortium, ABCTB Investigators, kConFab Investigators, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundGenome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer.MethodsAnalyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs.ResultsAssuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability

Published
2023

4. Birthweight and subsequent risk for thyroid and autoimmune conditions in postmenopausal women

Author

Monahan, Brian, Farland, Leslie V, Shadyab, Aladdin H, Hankinson, Susan E, Manson, JoAnn E, and Spracklen, Cassandra N

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Autoimmune Disease, Prevention, Arthritis, Aetiology, 2.4 Surveillance and distribution, Inflammatory and immune system, Autoimmune Diseases, Birth Weight, Female, Humans, Postmenopause, Proportional Hazards Models, Risk Factors, Thyroid Diseases, Birthweight, thyroid, autoimmune disease, lupus, rheumatoid arthritis, hyperthyroid, hypothyroid, postmenopausal women, Medical and Health Sciences, Biomedical and clinical sciences, Health sciences
Abstract

The objective of this study was to determine the association between birthweight and risk of thyroid and autoimmune conditions in a large sample of postmenopausal women. Baseline data from the Women's Health Initiative (n = 80,806) were used to examine the associations between birthweight category (

Published
2022

5. Biomarkers of phthalates and inflammation: Findings from a subgroup of Women's Health Initiative participants

Author

Trim, Avery, Hankinson, Susan E, Liu, Simin, Shadyab, Aladdin H, Meliker, Jaymie, Bao, Wei, Luo, Juhua, Liu, Buyun, Manson, JoAnn E, Tinker, Lesley, Bigelow, Carol, and Reeves, Katherine W

Subjects
Public Health, Health Sciences, Prevention, Aging, Clinical Research, Detection, screening and diagnosis, 4.1 Discovery and preclinical testing of markers and technologies, Cancer, Biomarkers, Case-Control Studies, Environmental Exposure, Environmental Pollutants, Female, Humans, Inflammation, Phthalic Acids, Women's Health, Phthalates, Epidemiology, Postmenopausal, CRP, IL-6, Public Health and Health Services, Toxicology, Public health
Abstract

BackgroundRecent experimental work has shown that phthalates may increase inflammation. Prior research has not examined the role of exposure to phthalates in relation to inflammatory status among postmenopausal women who are at higher risk of developing inflammation-related chronic disorders.ObjectivesWe aimed to examine the associations of urinary phthalate biomarker concentrations with circulating levels of c-reactive protein [CRP] and interleukin-6 [IL-6] among 443 postmenopausal women selected into a breast cancer case-control study nested within the Women's Health Initiative (WHI).MethodsA total of 13 phthalate metabolites were measured in urine samples provided at WHI enrollment from 1993 to 1998. We also measured baseline levels of CRP and IL-6 in these women's serum or plasma samples. Multivariable linear models were used to investigate the role of each phthalate biomarker in relation to CRP and IL-6, adjusting for potential confounding factors and specifically evaluating the role of BMI.ResultsIn adjusted models we observed positive associations of monocarboxynonyl phthalate (MCNP) with CRP (β = 0.092; 95% CI 0.026, 0.158) and IL-6 (β = 0.108; 95% CI 0.013, 0.204). These positive associations were attenuated and non-significant, however, after further adjustment for body mass index (BMI). In contrast, we observed inverse associations of monoethyl phthalate (MEP) (β = -0.019; 95% CI -0.036, -0.001) and monobenzyl phthalate (MBzP) (β = -0.034; 95% CI -0.058, -0.010) with CRP levels only after adjustment for BMI. Other phthalate biomarkers examined were not significantly associated with either CRP or IL-6 levels.ConclusionsOverall, these results do not suggest an important role for phthalates in promoting an inflammatory response. Future prospective studies are warranted to improve understanding of these associations, particularly in clarifying the role of BMI.

Published
2021

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

Author

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

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

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

Published
2020

7. Psychotropic Medication Use and Postmenopausal Breast Cancer Risk

Author

George, Anna, Sturgeon, Susan R, Hankinson, Susan E, Shadyab, Aladdin H, Wallace, Robert B, and Reeves, Katherine W

Subjects
Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Cancer, Breast Cancer, Clinical Research, Mental Health, Prevention, Aging, Patient Safety, Aged, Breast, Breast Carcinoma In Situ, Breast Neoplasms, Carcinoma, Ductal, Breast, Female, Follow-Up Studies, Humans, Mammography, Middle Aged, Postmenopause, Proportional Hazards Models, Psychotropic Drugs, Risk Factors, United States, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundPrior studies evaluating psychotropic medications in relation to breast cancer risk are inconsistent and have not separately evaluated invasive and in situ disease.MethodsWe estimated hazard ratios (HR) and 95% confidence intervals (CI) for the association of psychotropic medication use (any, typical antipsychotics, atypical antipsychotics, and lithium) with invasive and in situ breast cancer risk among Women's Health Initiative participants (N = 155,737).ResultsPrevalence of psychotropic medication use was low (n = 642; 0.4%). During an average 14.8 (SD, 6.5) years of follow-up, 10,067 invasive and 2,285 in situ breast tissues were diagnosed. Any psychotropic medication use was not associated with invasive breast cancer risk compared with nonusers (HR, 0.82; 95% CI, 0.57-1.18). In situ breast cancer risk was higher among "typical" antipsychotic medication users compared with nonusers (HR, 2.05; 95% CI, 0.97-4.30).ConclusionsThese findings do not support an association of psychotropic medication use with invasive breast cancer risk. The possible elevation in in situ breast cancer risk associated with "typical" antipsychotics could not be explained by differences in screening mammography utilization and merits further study.ImpactOur findings contribute to knowledge of the safety profile of psychotropic medications and may be useful to clinicians and patients considering use of these medications.

Published
2020

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

Author

Escala-Garcia, Maria, Guo, Qi, Dörk, Thilo, Canisius, Sander, Keeman, Renske, Dennis, Joe, Beesley, Jonathan, Lecarpentier, Julie, Bolla, Manjeet K, Wang, Qin, Abraham, Jean, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Boeckx, Bram, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brentnall, Adam, Brinton, Louise, Broberg, Per, Brock, Ian W, Brucker, Sara Y, Burwinkel, Barbara, Caldas, Carlos, Caldés, Trinidad, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Cheng, Ting-Yuan David, Chin, Suet-Feung, Clarke, Christine L, NBCS Collaborators, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, David G, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dunn, Janet A, Dunning, Alison M, Durcan, Lorraine, Dwek, Miriam, Earl, Helena M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Figueroa, Jonine, Flesch-Janys, Dieter, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Galle, Eva, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, George, Angela, Georgoulias, Vassilios, Giles, Graham G, Glendon, Gord, Goldgar, David E, González-Neira, Anna, Alnæs, Grethe I Grenaker, Grip, Mervi, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan, Harkness, Elaine F, Harrington, Patricia A, Hart, Steven N, Hartikainen, Jaana M, Hein, Alexander, Hillemanns, Peter, Hiller, Louise, and Holleczek, Bernd

Subjects
NBCS Collaborators, Chromosomes, Human, Pair 7, Humans, Breast Neoplasms, Receptors, Estrogen, Prognosis, Proportional Hazards Models, Bayes Theorem, Female, Genetic Variation, Genome-Wide Association Study, White People, Genetics, Breast Cancer, Human Genome, Cancer, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract

BackgroundWe examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry.MethodsMeta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP).ResultsWe did not find any variant associated with breast cancer-specific mortality at P

Published
2019

9. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.

Author

Mavaddat, Nasim, Michailidou, Kyriaki, Dennis, Joe, Lush, Michael, Fachal, Laura, Lee, Andrew, Tyrer, Jonathan P, Chen, Ting-Huei, Wang, Qin, Bolla, Manjeet K, Yang, Xin, Adank, Muriel A, Ahearn, Thomas, Aittomäki, Kristiina, Allen, Jamie, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Auvinen, Päivi, Barrdahl, Myrto, Beane Freeman, Laura E, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Bremer, Michael, Brenner, Hermann, Brentnall, Adam, Brock, Ian W, Brooks-Wilson, Angela, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Campa, Daniele, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chlebowski, Rowan, Christiansen, Hans, Clarke, Christine L, Collée, J Margriet, Cordina-Duverger, Emilie, Cornelissen, Sten, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dumont, Martine, Durcan, Lorraine, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Försti, Asta, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Georgoulias, Vassilios, Giles, Graham G, Gilyazova, Irina R, Glendon, Gord, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Grenaker Alnæs, Grethe I, Grip, Mervi, Gronwald, Jacek, Grundy, Anne, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, and Hankinson, Susan E

Subjects
ABCTB Investigators, kConFab/AOCS Investigators, NBCS Collaborators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Receptors, Estrogen, Medical History Taking, Risk Assessment, Reproducibility of Results, Age Factors, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Adult, Aged, Aged, 80 and over, Middle Aged, Female, breast, cancer, epidemiology, genetic, polygenic, prediction, risk, score, screening, stratification, Human Genome, Cancer, Genetics, Clinical Research, Prevention, Breast Cancer, Good Health and Well Being, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.

Published
2019

10. Accounting for individualized competing mortality risks in estimating postmenopausal breast cancer risk

Author

Schonberg, Mara A, Li, Vicky W, Eliassen, A Heather, Davis, Roger B, LaCroix, Andrea Z, McCarthy, Ellen P, Rosner, Bernard A, Chlebowski, Rowan T, Hankinson, Susan E, Marcantonio, Edward R, and Ngo, Long H

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Aging, Prevention, Cancer, Behavioral and Social Science, Breast Cancer, Good Health and Well Being, Adult, Breast Neoplasms, Cause of Death, Female, Follow-Up Studies, Humans, Middle Aged, Models, Statistical, Mortality, Population Surveillance, Postmenopause, Prognosis, Reproducibility of Results, Risk Assessment, Risk Factors, Breast cancer prediction, Competing risks, Older, Clinical Sciences, Oncology & Carcinogenesis, Clinical sciences, Oncology and carcinogenesis
Abstract

PurposeAccurate risk assessment is necessary for decision-making around breast cancer prevention. We aimed to develop a breast cancer prediction model for postmenopausal women that would take into account their individualized competing risk of non-breast cancer death.MethodsWe included 73,066 women who completed the 2004 Nurses' Health Study (NHS) questionnaire (all ≥57 years) and followed participants until May 2014. We considered 17 breast cancer risk factors (health behaviors, demographics, family history, reproductive factors) and 7 risk factors for non-breast cancer death (comorbidities, functional dependency) and mammography use. We used competing risk regression to identify factors independently associated with breast cancer. We validated the final model by examining calibration (expected-to-observed ratio of breast cancer incidence, E/O) and discrimination (c-statistic) using 74,887 subjects from the Women's Health Initiative Extension Study (WHI-ES; all were ≥55 years and followed for 5 years).ResultsWithin 5 years, 1.8 % of NHS participants were diagnosed with breast cancer (vs. 2.0 % in WHI-ES, p = 0.02), and 6.6 % experienced non-breast cancer death (vs. 5.2 % in WHI-ES, p

Published
2016

11. Performance of the Breast Cancer Risk Assessment Tool Among Women Aged 75 Years and Older

Author

Schonberg, Mara A, Li, Vicky W, Eliassen, A Heather, Davis, Roger B, LaCroix, Andrea Z, McCarthy, Ellen P, Rosner, Bernard A, Chlebowski, Rowan T, Rohan, Thomas E, Hankinson, Susan E, Marcantonio, Edward R, and Ngo, Long H

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Aging, Breast Cancer, Clinical Research, Human Genome, Genetics, Cancer, Good Health and Well Being, Age Factors, Aged, Aged, 80 and over, Breast Neoplasms, Cause of Death, Early Detection of Cancer, Female, Follow-Up Studies, Humans, Incidence, Mammography, Mass Screening, Middle Aged, Models, Statistical, Odds Ratio, Risk Assessment, Risk Factors, United States, Whites, Women's Health, White People, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundThe Breast Cancer Risk Assessment Tool (BCRAT, "Gail model") is commonly used for breast cancer prediction; however, it has not been validated for women age 75 years and older.MethodsWe used Nurses' Health Study (NHS) data beginning in 2004 and Women's Health Initiative (WHI) data beginning in 2005 to compare BCRAT's performance among women age 75 years and older with that in women age 55 to 74 years in predicting five-year breast cancer incidence. BCRAT risk factors include: age, race/ethnicity, age at menarche, age at first birth, family history, history of benign breast biopsy, and atypia. We examined BCRAT's calibration by age by comparing expected/observed (E/O) ratios of breast cancer incidence. We examined discrimination by computing c-statistics for the model by age. All statistical tests were two-sided.ResultsSeventy-three thousand seventy-two NHS and 97 081 WHI women participated. NHS participants were more likely to be non-Hispanic white (96.2% vs 84.7% in WHI, P < .001) and were less likely to develop breast cancer (1.8% vs 2.0%, P = .02). E/O ratios by age in NHS were 1.16 (95% confidence interval [CI] = 1.09 to 1.23, age 57-74 years) and 1.31 (95% CI = 1.18 to 1.45, age ≥ 75 years, P = .02), and in WHI 1.03 (95% CI = 0.97 to 1.09, age 55-74 years) and 1.10 (95% CI = 1.00 to 1.21, age ≥ 75 years, P = .21). E/O ratio 95% confidence intervals crossed one among women age 75 years and older when samples were limited to women who underwent mammography and were without significant illness. C-statistics ranged between 0.56 and 0.58 in both cohorts regardless of age.ConclusionsBCRAT accurately predicted breast cancer for women age 75 years and older who underwent mammography and were without significant illness but had modest discrimination. Models that consider individual competing risks of non-breast cancer death may improve breast cancer risk prediction for older women.

Published
2016

12. Short-term weight gain and breast cancer risk by hormone receptor classification among pre- and postmenopausal women

Author

Rosner, Bernard, Eliassen, A Heather, Toriola, Adetunji T, Hankinson, Susan E, Willett, Walter C, Natarajan, Loki, and Colditz, Graham A

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Obesity, Estrogen, Clinical Research, Breast Cancer, Nutrition, Cancer, Aging, Contraception/Reproduction, Algorithms, Breast Neoplasms, Cohort Studies, Female, Humans, Incidence, Middle Aged, Postmenopause, Premenopause, Receptors, Estrogen, Receptors, Progesterone, Risk Factors, Time Factors, Weight Gain, Breast cancer risk, Hormone receptor classification, BMI, Clinical Sciences, Oncology & Carcinogenesis, Clinical sciences, Oncology and carcinogenesis
Abstract

Obesity is well established as a cause of postmenopausal breast cancer incidence and mortality. In contrast, adiposity in early life reduces breast cancer incidence. However, whether short-term weight change influences breast cancer risk is not well known. We followed a cohort of 77,232 women from 1980 to 2006 (1,445,578 person-years), with routinely updated risk factor information, documenting 4196 incident cases of invasive breast cancer. ER and PR status were obtained from pathology reports and medical records yielding a total of 2033 ER+/PR+ tumors, 595 ER-/PR- tumors, 512 ER+/PR- tumors. The log incidence breast cancer model was used to assess the association of short-term weight gain (over past 4 years) while controlling for average BMI before and after menopause. Short-term weight change was significantly associated with breast cancer risk (RR 1.20; 95 % CI 1.09-1.33) for a 4-year weight gain of ≥15 lbs versus no change (≤5 lbs) (P_trend < 0.001). The association was stronger for premenopausal women (RR 1.38; 95 % CI 1.13-1.69) (P_trend = 0.004) than for postmenopausal women (RR 1.10; 95 % CI 0.97-1.25) (P_trend = 0.063). Short-term weight gain during premenopause had a stronger association for ER+/PR- (RR per 25 lb weight gain = 2.19; 95 % CI 1.33-3.61, P = 0.002) and ER-/PR- breast cancer (RR per 25 lb weight gain = 1.61; 95 % CI 1.09-2.38, P = 0.016) than for ER+/PR+ breast cancer (RR per 25 lb weight gain = 1.13; 95 % CI 0.89-1.43, P = 0.32). There are deleterious effects of short-term weight gain, particularly during pre-menopause, even after controlling for average BMI before and after menopause. The association was stronger for ER+/PR- and ER-/PR- than for ER+/PR+ breast cancer.

Published
2015

13. Characterization of Large Structural Genetic Mosaicism in Human Autosomes

Author

Machiela, Mitchell J, Zhou, Weiyin, Sampson, Joshua N, Dean, Michael C, Jacobs, Kevin B, Black, Amanda, Brinton, Louise A, Chang, I-Shou, Chen, Chu, Chen, Constance, Chen, Kexin, Cook, Linda S, Bou, Marta Crous, De Vivo, Immaculata, Doherty, Jennifer, Friedenreich, Christine M, Gaudet, Mia M, Haiman, Christopher A, Hankinson, Susan E, Hartge, Patricia, Henderson, Brian E, Hong, Yun-Chul, Hosgood, H Dean, Hsiung, Chao A, Hu, Wei, Hunter, David J, Jessop, Lea, Kim, Hee Nam, Kim, Yeul Hong, Kim, Young Tae, Klein, Robert, Kraft, Peter, Lan, Qing, Lin, Dongxin, Liu, Jianjun, Le Marchand, Loic, Liang, Xiaolin, Lissowska, Jolanta, Lu, Lingeng, Magliocco, Anthony M, Matsuo, Keitaro, Olson, Sara H, Orlow, Irene, Park, Jae Yong, Pooler, Loreall, Prescott, Jennifer, Rastogi, Radhai, Risch, Harvey A, Schumacher, Fredrick, Seow, Adeline, Setiawan, Veronica Wendy, Shen, Hongbing, Sheng, Xin, Shin, Min-Ho, Shu, Xiao-Ou, Berg, David VanDen, Wang, Jiu-Cun, Wentzensen, Nicolas, Wong, Maria Pik, Wu, Chen, Wu, Tangchun, Wu, Yi-Long, Xia, Lucy, Yang, Hannah P, Yang, Pan-Chyr, Zheng, Wei, Zhou, Baosen, Abnet, Christian C, Albanes, Demetrius, Aldrich, Melinda C, Amos, Christopher, Amundadottir, Laufey T, Berndt, Sonja I, Blot, William J, Bock, Cathryn H, Bracci, Paige M, Burdett, Laurie, Buring, Julie E, Butler, Mary A, Carreón, Tania, Chatterjee, Nilanjan, Chung, Charles C, Cook, Michael B, Cullen, Michael, Davis, Faith G, Ding, Ti, Duell, Eric J, Epstein, Caroline G, Fan, Jin-Hu, Figueroa, Jonine D, Fraumeni, Joseph F, Freedman, Neal D, Fuchs, Charles S, Gao, Yu-Tang, Gapstur, Susan M, Patiño-Garcia, Ana, Garcia-Closas, Montserrat, Gaziano, J Michael, Giles, Graham G, and Gillanders, Elizabeth M

Subjects
Biological Sciences, Genetics, Human Genome, Clinical Research, 2.1 Biological and endogenous factors, Aetiology, Aged, Chromosome Aberrations, Female, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Mosaicism, Neoplasms, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Analyses of genome-wide association study (GWAS) data have revealed that detectable genetic mosaicism involving large (>2 Mb) structural autosomal alterations occurs in a fraction of individuals. We present results for a set of 24,849 genotyped individuals (total GWAS set II [TGSII]) in whom 341 large autosomal abnormalities were observed in 168 (0.68%) individuals. Merging data from the new TGSII set with data from two prior reports (the Gene-Environment Association Studies and the total GWAS set I) generated a large dataset of 127,179 individuals; we then conducted a meta-analysis to investigate the patterns of detectable autosomal mosaicism (n = 1,315 events in 925 [0.73%] individuals). Restricting to events >2 Mb in size, we observed an increase in event frequency as event size decreased. The combined results underscore that the rate of detectable mosaicism increases with age (p value = 5.5 × 10(-31)) and is higher in men (p value = 0.002) but lower in participants of African ancestry (p value = 0.003). In a subset of 47 individuals from whom serial samples were collected up to 6 years apart, complex changes were noted over time and showed an overall increase in the proportion of mosaic cells as age increased. Our large combined sample allowed for a unique ability to characterize detectable genetic mosaicism involving large structural events and strengthens the emerging evidence of non-random erosion of the genome in the aging population.

Published
2015

14. A genome-wide association study of early menopause and the combined impact of identified variants

Author

Perry, John RB, Corre, Tanguy, Esko, Tõnu, Chasman, Daniel I, Fischer, Krista, Franceschini, Nora, He, Chunyan, Kutalik, Zoltan, Mangino, Massimo, Rose, Lynda M, Smith, Albert Vernon, Stolk, Lisette, Sulem, Patrick, Weedon, Michael N, Zhuang, Wei V, Arnold, Alice, Ashworth, Alan, Bergmann, Sven, Buring, Julie E, Burri, Andrea, Chen, Constance, Cornelis, Marilyn C, Couper, David J, Goodarzi, Mark O, Gudnason, Vilmundur, Harris, Tamara, Hofman, Albert, Jones, Michael, Kraft, Peter, Launer, Lenore, Laven, Joop SE, Li, Guo, McKnight, Barbara, Masciullo, Corrado, Milani, Lili, Orr, Nicholas, Psaty, Bruce M, Ridker, Paul M, Rivadeneira, Fernando, Sala, Cinzia, Salumets, Andres, Schoemaker, Minouk, Traglia, Michela, Waeber, Gérard, Chanock, Stephen J, Demerath, Ellen W, Garcia, Melissa, Hankinson, Susan E, Hu, Frank B, Hunter, David J, Lunetta, Kathryn L, Metspalu, Andres, Montgomery, Grant W, Murabito, Joanne M, Newman, Anne B, Ong, Ken K, Spector, Tim D, Stefansson, Kari, Swerdlow, Anthony J, Thorsteinsdottir, Unnur, Van Dam, Rob M, Uitterlinden, André G, Visser, Jenny A, Vollenweider, Peter, Toniolo, Daniela, and Murray, Anna

Subjects
Biotechnology, Contraception/Reproduction, Infertility, Genetics, Human Genome, Aging, Estrogen, Prevention, Aetiology, 2.1 Biological and endogenous factors, Reproductive health and childbirth, Good Health and Well Being, Case-Control Studies, Female, Gene Frequency, Genome-Wide Association Study, Humans, Menopause, Premature, Polymorphism, Single Nucleotide, Primary Ovarian Insufficiency, Quantitative Trait Loci, Risk, ReproGen Consortium, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Early menopause (EM) affects up to 10% of the female population, reducing reproductive lifespan considerably. Currently, it constitutes the leading cause of infertility in the western world, affecting mainly those women who postpone their first pregnancy beyond the age of 30 years. The genetic aetiology of EM is largely unknown in the majority of cases. We have undertaken a meta-analysis of genome-wide association studies (GWASs) in 3493 EM cases and 13 598 controls from 10 independent studies. No novel genetic variants were discovered, but the 17 variants previously associated with normal age at natural menopause as a quantitative trait (QT) were also associated with EM and primary ovarian insufficiency (POI). Thus, EM has a genetic aetiology which overlaps variation in normal age at menopause and is at least partly explained by the additive effects of the same polygenic variants. The combined effect of the common variants captured by the single nucleotide polymorphism arrays was estimated to account for ∼30% of the variance in EM. The association between the combined 17 variants and the risk of EM was greater than the best validated non-genetic risk factor, smoking.

Published
2013

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

Author

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

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

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

Published
2013

16. Polymorphisms in genes related to one-carbon metabolism are not related to pancreatic cancer in PanScan and PanC4

Author

Leenders, Max, Bhattacharjee, Samsiddhi, Vineis, Paolo, Stevens, Victoria, Bueno-de-Mesquita, H Bas, Shu, Xiao-Ou, Amundadottir, Laufey, Gross, Myron, Tobias, Geoffrey S, Wactawski-Wende, Jean, Arslan, Alan A, Duell, Eric J, Fuchs, Charles S, Gallinger, Steven, Hartge, Patricia, Hoover, Robert N, Holly, Elizabeth A, Jacobs, Eric J, Klein, Alison P, Kooperberg, Charles, LaCroix, Andrea, Li, Donghui, Mandelson, Margaret T, Olson, Sara H, Petersen, Gloria, Risch, Harvey A, Yu, Kai, Wolpin, Brian M, Zheng, Wei, Agalliu, Ilir, Albanes, Demetrius, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Buring, Julie E, Canzian, Federico, Chang, Kenneth, Chanock, Stephen J, Cotterchio, Michelle, Gaziano, J Michael, Giovanucci, Edward L, Goggins, Michael, Hallmans, Göran, Hankinson, Susan E, Hoffman-Bolton, Judith A, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Jenab, Mazda, Khaw, Kay-Tee, Kraft, Peter, Krogh, Vittorio, Kurtz, Robert C, McWilliams, Robert R, Mendelsohn, Julie B, Patel, Alpa V, Rabe, Kari G, Riboli, Elio, Tjønneland, Anne, Trichopoulos, Dimitrios, Virtamo, Jarmo, Visvanathan, Kala, Elena, Joanne W, Yu, Herbert, Zeleniuch-Jacquotte, Anne, and Stolzenberg-Solomon, Rachael Z

Subjects
Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Cancer, Digestive Diseases, Genetics, Pancreatic Cancer, Prevention, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Carbon, Case-Control Studies, Cohort Studies, Germ-Line Mutation, Humans, Pancreatic Neoplasms, Polymorphism, Single Nucleotide, United States, Pancreatic cancer, One-carbon metabolism, Polymorphisms, Biomarkers, Public Health and Health Services, Oncology and carcinogenesis
Abstract

PurposeThe evidence of a relation between folate intake and one-carbon metabolism (OCM) with pancreatic cancer (PanCa) is inconsistent. In this study, the association between genes and single-nucleotide polymorphisms (SNPs) related to OCM and PanCa was assessed.MethodsUsing biochemical knowledge of the OCM pathway, we identified thirty-seven genes and 834 SNPs to examine in association with PanCa. Our study included 1,408 cases and 1,463 controls nested within twelve cohorts (PanScan). The ten SNPs and five genes with lowest p values (

Published
2013

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

Author

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

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

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

Published
2012

18. Pathway analysis of genome-wide association study data highlights pancreatic development genes as susceptibility factors for pancreatic cancer.

Author

Li, Donghui, Duell, Eric J, Yu, Kai, Risch, Harvey A, Olson, Sara H, Kooperberg, Charles, Wolpin, Brian M, Jiao, Li, Dong, Xiaoqun, Wheeler, Bill, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Fuchs, Charles S, Gallinger, Steven, Gross, Myron, Hartge, Patricia, Hoover, Robert N, Holly, Elizabeth A, Jacobs, Eric J, Klein, Alison P, LaCroix, Andrea, Mandelson, Margaret T, Petersen, Gloria, Zheng, Wei, Agalliu, Ilir, Albanes, Demetrius, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Buring, Julie E, Canzian, Federico, Chang, Kenneth, Chanock, Stephen J, Cotterchio, Michelle, Gaziano, J Michael, Giovannucci, Edward L, Goggins, Michael, Hallmans, Göran, Hankinson, Susan E, Hoffman Bolton, Judith A, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Jenab, Mazda, Khaw, Kay-Tee, Kraft, Peter, Krogh, Vittorio, Kurtz, Robert C, McWilliams, Robert R, Mendelsohn, Julie B, Patel, Alpa V, Rabe, Kari G, Riboli, Elio, Shu, Xiao-Ou, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Virtamo, Jarmo, Visvanathan, Kala, Watters, Joanne, Yu, Herbert, Zeleniuch-Jacquotte, Anne, Amundadottir, Laufey, and Stolzenberg-Solomon, Rachael Z

Subjects
Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, Case-Control Studies, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

Four loci have been associated with pancreatic cancer through genome-wide association studies (GWAS). Pathway-based analysis of GWAS data is a complementary approach to identify groups of genes or biological pathways enriched with disease-associated single-nucleotide polymorphisms (SNPs) whose individual effect sizes may be too small to be detected by standard single-locus methods. We used the adaptive rank truncated product method in a pathway-based analysis of GWAS data from 3851 pancreatic cancer cases and 3934 control participants pooled from 12 cohort studies and 8 case-control studies (PanScan). We compiled 23 biological pathways hypothesized to be relevant to pancreatic cancer and observed a nominal association between pancreatic cancer and five pathways (P < 0.05), i.e. pancreatic development, Helicobacter pylori lacto/neolacto, hedgehog, Th1/Th2 immune response and apoptosis (P = 2.0 × 10(-6), 1.6 × 10(-5), 0.0019, 0.019 and 0.023, respectively). After excluding previously identified genes from the original GWAS in three pathways (NR5A2, ABO and SHH), the pancreatic development pathway remained significant (P = 8.3 × 10(-5)), whereas the others did not. The most significant genes (P < 0.01) in the five pathways were NR5A2, HNF1A, HNF4G and PDX1 for pancreatic development; ABO for H.pylori lacto/neolacto; SHH for hedgehog; TGFBR2 and CCL18 for Th1/Th2 immune response and MAPK8 and BCL2L11 for apoptosis. Our results provide a link between inherited variation in genes important for pancreatic development and cancer and show that pathway-based approaches to analysis of GWAS data can yield important insights into the collective role of genetic risk variants in cancer.

Published
2012

19. A Genome-Wide Association Meta-Analysis of Circulating Sex Hormone–Binding Globulin Reveals Multiple Loci Implicated in Sex Steroid Hormone Regulation

Author

Coviello, Andrea D, Haring, Robin, Wellons, Melissa, Vaidya, Dhananjay, Lehtimäki, Terho, Keildson, Sarah, Lunetta, Kathryn L, He, Chunyan, Fornage, Myriam, Lagou, Vasiliki, Mangino, Massimo, Onland-Moret, N Charlotte, Chen, Brian, Eriksson, Joel, Garcia, Melissa, Liu, Yong Mei, Koster, Annemarie, Lohman, Kurt, Lyytikäinen, Leo-Pekka, Petersen, Ann-Kristin, Prescott, Jennifer, Stolk, Lisette, Vandenput, Liesbeth, Wood, Andrew R, Zhuang, Wei Vivian, Ruokonen, Aimo, Hartikainen, Anna-Liisa, Pouta, Anneli, Bandinelli, Stefania, Biffar, Reiner, Brabant, Georg, Cox, David G, Chen, Yuhui, Cummings, Steven, Ferrucci, Luigi, Gunter, Marc J, Hankinson, Susan E, Martikainen, Hannu, Hofman, Albert, Homuth, Georg, Illig, Thomas, Jansson, John-Olov, Johnson, Andrew D, Karasik, David, Karlsson, Magnus, Kettunen, Johannes, Kiel, Douglas P, Kraft, Peter, Liu, Jingmin, Ljunggren, Östen, Lorentzon, Mattias, Maggio, Marcello, Markus, Marcello RP, Mellström, Dan, Miljkovic, Iva, Mirel, Daniel, Nelson, Sarah, Papunen, Laure Morin, Peeters, Petra HM, Prokopenko, Inga, Raffel, Leslie, Reincke, Martin, Reiner, Alex P, Rexrode, Kathryn, Rivadeneira, Fernando, Schwartz, Stephen M, Siscovick, David, Soranzo, Nicole, Stöckl, Doris, Tworoger, Shelley, Uitterlinden, André G, van Gils, Carla H, Vasan, Ramachandran S, Wichmann, H-Erich, Zhai, Guangju, Bhasin, Shalender, Bidlingmaier, Martin, Chanock, Stephen J, De Vivo, Immaculata, Harris, Tamara B, Hunter, David J, Kähönen, Mika, Liu, Simin, Ouyang, Pamela, Spector, Tim D, van der Schouw, Yvonne T, Viikari, Jorma, Wallaschofski, Henri, McCarthy, Mark I, Frayling, Timothy M, Murray, Anna, Franks, Steve, Järvelin, Marjo-Riitta, de Jong, Frank H, Raitakari, Olli, Teumer, Alexander, Ohlsson, Claes, Murabito, Joanne M, and Perry, John RB

Subjects
Biological Sciences, Genetics, Breast Cancer, Aging, Estrogen, Cancer Genomics, Urologic Diseases, Cancer, Prostate Cancer, Human Genome, Women's Health, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Alleles, Female, Genetic Heterogeneity, Genome-Wide Association Study, Gonadal Steroid Hormones, Humans, Male, Metabolic Networks and Pathways, Polymorphism, Single Nucleotide, Sex Characteristics, Sex Hormone-Binding Globulin, Developmental Biology
Abstract

Sex hormone-binding globulin (SHBG) is a glycoprotein responsible for the transport and biologic availability of sex steroid hormones, primarily testosterone and estradiol. SHBG has been associated with chronic diseases including type 2 diabetes (T2D) and with hormone-sensitive cancers such as breast and prostate cancer. We performed a genome-wide association study (GWAS) meta-analysis of 21,791 individuals from 10 epidemiologic studies and validated these findings in 7,046 individuals in an additional six studies. We identified twelve genomic regions (SNPs) associated with circulating SHBG concentrations. Loci near the identified SNPs included SHBG (rs12150660, 17p13.1, p = 1.8 × 10(-106)), PRMT6 (rs17496332, 1p13.3, p = 1.4 × 10(-11)), GCKR (rs780093, 2p23.3, p = 2.2 × 10(-16)), ZBTB10 (rs440837, 8q21.13, p = 3.4 × 10(-09)), JMJD1C (rs7910927, 10q21.3, p = 6.1 × 10(-35)), SLCO1B1 (rs4149056, 12p12.1, p = 1.9 × 10(-08)), NR2F2 (rs8023580, 15q26.2, p = 8.3 × 10(-12)), ZNF652 (rs2411984, 17q21.32, p = 3.5 × 10(-14)), TDGF3 (rs1573036, Xq22.3, p = 4.1 × 10(-14)), LHCGR (rs10454142, 2p16.3, p = 1.3 × 10(-07)), BAIAP2L1 (rs3779195, 7q21.3, p = 2.7 × 10(-08)), and UGT2B15 (rs293428, 4q13.2, p = 5.5 × 10(-06)). These genes encompass multiple biologic pathways, including hepatic function, lipid metabolism, carbohydrate metabolism and T2D, androgen and estrogen receptor function, epigenetic effects, and the biology of sex steroid hormone-responsive cancers including breast and prostate cancer. We found evidence of sex-differentiated genetic influences on SHBG. In a sex-specific GWAS, the loci 4q13.2-UGT2B15 was significant in men only (men p = 2.5 × 10(-08), women p = 0.66, heterogeneity p = 0.003). Additionally, three loci showed strong sex-differentiated effects: 17p13.1-SHBG and Xq22.3-TDGF3 were stronger in men, whereas 8q21.12-ZBTB10 was stronger in women. Conditional analyses identified additional signals at the SHBG gene that together almost double the proportion of variance explained at the locus. Using an independent study of 1,129 individuals, all SNPs identified in the overall or sex-differentiated or conditional analyses explained ~15.6% and ~8.4% of the genetic variation of SHBG concentrations in men and women, respectively. The evidence for sex-differentiated effects and allelic heterogeneity highlight the importance of considering these features when estimating complex trait variance.

Published
2012

20. Variant ABO Blood Group Alleles, Secretor Status, and Risk of Pancreatic Cancer: Results from the Pancreatic Cancer Cohort Consortium

Author

Wolpin, Brian M, Kraft, Peter, Xu, Mousheng, Steplowski, Emily, Olsson, Martin L, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Petersen, Gloria, Stolzenberg-Solomon, Rachael Z, Zheng, Wei, Albanes, Demetrius, Allen, Naomi E, Amundadottir, Laufey, Austin, Melissa A, Boutron-Ruault, Marie-Christine, Buring, Julie E, Canzian, Federico, Chanock, Stephen J, Gaziano, J Michael, Giovannucci, Edward L, Hallmans, Göran, Hankinson, Susan E, Hoover, Robert N, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Kooperberg, Charles, Mendelsohn, Julie B, Michaud, Dominique S, Overvad, Kim, Patel, Alpa V, Sanchéz, Maria-José, Sansbury, Leah, Shu, Xiao-Ou, Slimani, Nadia, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Vineis, Paolo, Visvanathan, Kala, Virtamo, Jarmo, Wactawski-Wende, Jean, Watters, Joanne, Yu, Kai, Zeleniuch-Jacquotte, Anne, Hartge, Patricia, and Fuchs, Charles S

Subjects
Digestive Diseases, Cancer, Clinical Research, Genetics, Rare Diseases, Pancreatic Cancer, Prevention, Human Genome, Aetiology, 2.1 Biological and endogenous factors, ABO Blood-Group System, Alleles, Cohort Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Glycosyltransferases, Humans, Odds Ratio, Pancreatic Neoplasms, Phenotype, Polymorphism, Single Nucleotide, Medical and Health Sciences, Epidemiology
Abstract

BackgroundSubjects with non-O ABO blood group alleles have increased risk of pancreatic cancer. Glycosyltransferase activity is greater for the A(1) versus A(2) variant, whereas O01 and O02 variants are nonfunctioning. We hypothesized: 1) A(1) allele would confer greater risk than A(2) allele, 2) protective effect of the O allele would be equivalent for O01 and O02 variants, 3) secretor phenotype would modify the association with risk.MethodsWe determined ABO variants and secretor phenotype from single nucleotide polymorphisms in ABO and FUT2 genes in 1,533 cases and 1,582 controls from 12 prospective cohort studies. Adjusted odds ratios (OR) for pancreatic cancer were calculated using logistic regression.ResultsAn increased risk was observed in participants with A(1) but not A(2) alleles. Compared with subjects with genotype O/O, genotypes A(2)/O, A(2)/A(1), A(1)/O, and A(1)/A(1) had ORs of 0.96 (95% CI, 0.72-1.26), 1.46 (95% CI, 0.98-2.17), 1.48 (95% CI, 1.23-1.78), and 1.71 (95% CI, 1.18-2.47). Risk was similar for O01 and O02 variant O alleles. Compared with O01/O01, the ORs for each additional allele of O02, A(1), and A(2) were 1.00 (95% CI, 0.87-1.14), 1.38 (95% CI, 1.20-1.58), and 0.96 (95% CI, 0.77-1.20); P, O01 versus O02 = 0.94, A(1) versus A(2) = 0.004. Secretor phenotype was not an effect modifier (P-interaction = 0.63).ConclusionsAmong participants in a large prospective cohort consortium, ABO allele subtypes corresponding to increased glycosyltransferase activity were associated with increased pancreatic cancer risk.ImpactThese data support the hypothesis that ABO glycosyltransferase activity influences pancreatic cancer risk rather than actions of other nearby genes on chromosome 9q34.

Published
2010

21. Family history of cancer and risk of pancreatic cancer: a pooled analysis from the Pancreatic Cancer Cohort Consortium (PanScan).

Author

Jacobs, Eric J, Chanock, Stephen J, Fuchs, Charles S, Lacroix, Andrea, McWilliams, Robert R, Steplowski, Emily, Stolzenberg-Solomon, Rachael Z, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gross, Myron, Helzlsouer, Kathy, Petersen, Gloria, Zheng, Wei, Agalliu, Ilir, Allen, Naomi E, Amundadottir, Laufey, Boutron-Ruault, Marie-Christine, Buring, Julie E, Canzian, Federico, Clipp, Sandra, Dorronsoro, Miren, Gaziano, J Michael, Giovannucci, Edward L, Hankinson, Susan E, Hartge, Patricia, Hoover, Robert N, Hunter, David J, Jacobs, Kevin B, Jenab, Mazda, Kraft, Peter, Kooperberg, Charles, Lynch, Shannon M, Sund, Malin, Mendelsohn, Julie B, Mouw, Tracy, Newton, Christina C, Overvad, Kim, Palli, Domenico, Peeters, Petra HM, Rajkovic, Aleksandar, Shu, Xiao-Ou, Thomas, Gilles, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Virtamo, Jarmo, Wactawski-Wende, Jean, Wolpin, Brian M, Yu, Kai, and Zeleniuch-Jacquotte, Anne

Subjects
Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, Case-Control Studies, Cohort Studies, Genome-Wide Association Study, Colo-Rectal Cancer, Clinical Research, Rare Diseases, Aging, Cancer, Digestive Diseases, Prostate Cancer, Ovarian Cancer, Pancreatic Cancer, Breast Cancer, Prevention, Urologic Diseases, 2.1 Biological and endogenous factors, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

A family history of pancreatic cancer has consistently been associated with increased risk of pancreatic cancer. However, uncertainty remains about the strength of this association. Results from previous studies suggest a family history of select cancers (i.e., ovarian, breast and colorectal) could also be associated, although not as strongly, with increased risk of pancreatic cancer. We examined the association between a family history of 5 types of cancer (pancreas, prostate, ovarian, breast and colorectal) and risk of pancreatic cancer using data from a collaborative nested case-control study conducted by the Pancreatic Cancer Cohort Consortium. Cases and controls were from cohort studies from the United States, Europe and China, and a case-control study from the Mayo Clinic. Analyses of family history of pancreatic cancer included 1,183 cases and 1,205 controls. A family history of pancreatic cancer in a parent, sibling or child was associated with increased risk of pancreatic cancer [multivariate-adjusted odds ratios (ORs) = 1.76, 95% confidence interval (CI) = 1.19-2.61]. A family history of prostate cancer was also associated with increased risk (OR = 1.45, 95% CI = 1.12-1.89). There were no statistically significant associations with a family history of ovarian cancer (OR = 0.82, 95% CI = 0.52-1.31), breast cancer (OR = 1.21, 95% CI = 0.97-1.51) or colorectal cancer (OR = 1.17, 95% CI = 0.93-1.47). Our results confirm a moderate sized association between a family history of pancreatic cancer and risk of pancreatic cancer and also provide evidence for an association with a family history of prostate cancer worth further study.

Published
2010

22. Alcohol intake and pancreatic cancer: a pooled analysis from the pancreatic cancer cohort consortium (PanScan)

Author

Michaud, Dominique S, Vrieling, Alina, Jiao, Li, Mendelsohn, Julie B, Steplowski, Emily, Lynch, Shannon M, Wactawski-Wende, Jean, Arslan, Alan A, Bas Bueno-de-Mesquita, H, Fuchs, Charles S, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Petersen, Gloria, Zheng, Wei, Allen, Naomi, Ammundadottir, Laufey, Bergmann, Manuela M, Boffetta, Paolo, Buring, Julie E, Canzian, Federico, Chanock, Stephen J, Clavel-Chapelon, Françoise, Clipp, Sandra, Freiberg, Matthew S, Michael Gaziano, J, Giovannucci, Edward L, Hankinson, Susan, Hartge, Patricia, Hoover, Robert N, Allan Hubbell, F, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin, Kooperberg, Charles, Kraft, Peter, Manjer, Jonas, Navarro, Carmen, Peeters, Petra HM, Shu, Xiao-Ou, Stevens, Victoria, Thomas, Gilles, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Tumino, Rosario, Vineis, Paolo, Virtamo, Jarmo, Wallace, Robert, Wolpin, Brian M, Yu, Kai, Zeleniuch-Jacquotte, Anne, and Stolzenberg-Solomon, Rachael Z

Subjects
Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Alcoholism, Alcohol Use and Health, Cancer, Digestive Diseases, Pancreatic Cancer, Rare Diseases, Clinical Research, Substance Misuse, Oral and gastrointestinal, Good Health and Well Being, Aged, Alcohol Drinking, Case-Control Studies, Cohort Studies, Female, Humans, Male, Pancreatic Neoplasms, Prospective Studies, Alcohol, Pancreatic cancer, Pooled analysis, Oncology and Carcinogenesis, Public Health and Health Services, Epidemiology, Oncology and carcinogenesis
Abstract

The literature has consistently reported no association between low to moderate alcohol consumption and pancreatic cancer; however, a few studies have shown that high levels of intake may increase risk. Most single studies have limited power to detect associations even in the highest alcohol intake categories or to examine associations by alcohol type. We analyzed these associations using 1,530 pancreatic cancer cases and 1,530 controls from the Pancreatic Cancer Cohort Consortium (PanScan) nested case-control study. Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated using unconditional logistic regression, adjusting for potential confounders. We observed no significant overall association between total alcohol (ethanol) intake and pancreatic cancer risk (OR = 1.38, 95% CI = 0.86-2.23, for 60 or more g/day vs. >0 to

Published
2010

23. Anthropometric Measures, Body Mass Index, and Pancreatic Cancer: A Pooled Analysis From the Pancreatic Cancer Cohort Consortium (PanScan)

Author

Arslan, Alan A, Helzlsouer, Kathy J, Kooperberg, Charles, Shu, Xiao-Ou, Steplowski, Emily, Bueno-de-Mesquita, H Bas, Fuchs, Charles S, Gross, Myron D, Jacobs, Eric J, Lacroix, Andrea Z, Petersen, Gloria M, Stolzenberg-Solomon, Rachael Z, Zheng, Wei, Albanes, Demetrius, Amundadottir, Laufey, Bamlet, William R, Barricarte, Aurelio, Bingham, Sheila A, Boeing, Heiner, Boutron-Ruault, Marie-Christine, Buring, Julie E, Chanock, Stephen J, Clipp, Sandra, Gaziano, J Michael, Giovannucci, Edward L, Hankinson, Susan E, Hartge, Patricia, Hoover, Robert N, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Kraft, Peter, Lynch, Shannon M, Manjer, Jonas, Manson, Joann E, McTiernan, Anne, McWilliams, Robert R, Mendelsohn, Julie B, Michaud, Dominique S, Palli, Domenico, Rohan, Thomas E, Slimani, Nadia, Thomas, Gilles, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Virtamo, Jarmo, Wolpin, Brian M, Yu, Kai, Zeleniuch-Jacquotte, Anne, and Patel, Alpa V

Subjects
Obesity, Cancer, Clinical Research, Nutrition, Prevention, Pancreatic Cancer, Rare Diseases, Digestive Diseases, Adult, Aged, Aged, 80 and over, Body Mass Index, Case-Control Studies, Female, Humans, Logistic Models, Male, Middle Aged, Overweight, Pancreatic Neoplasms, Risk Factors, Sex Distribution, United States, Waist Circumference, Pancreatic Cancer Cohort Consortium, Clinical Sciences, Opthalmology and Optometry, Public Health and Health Services
Abstract

BackgroundObesity has been proposed as a risk factor for pancreatic cancer.MethodsPooled data were analyzed from the National Cancer Institute Pancreatic Cancer Cohort Consortium (PanScan) to study the association between prediagnostic anthropometric measures and risk of pancreatic cancer. PanScan applied a nested case-control study design and included 2170 cases and 2209 control subjects. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using unconditional logistic regression for cohort-specific quartiles of body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]), weight, height, waist circumference, and waist to hip ratio as well as conventional BMI categories (underweight, or = 35.0). Models were adjusted for potential confounders.ResultsIn all of the participants, a positive association between increasing BMI and risk of pancreatic cancer was observed (adjusted OR for the highest vs lowest BMI quartile, 1.33; 95% CI, 1.12-1.58; P(trend) < .001). In men, the adjusted OR for pancreatic cancer for the highest vs lowest quartile of BMI was 1.33 (95% CI, 1.04-1.69; P(trend) < .03), and in women it was 1.34 (95% CI, 1.05-1.70; P(trend) = .01). Increased waist to hip ratio was associated with increased risk of pancreatic cancer in women (adjusted OR for the highest vs lowest quartile, 1.87; 95% CI, 1.31-2.69; P(trend) = .003) but less so in men.ConclusionsThese findings provide strong support for a positive association between BMI and pancreatic cancer risk. In addition, centralized fat distribution may increase pancreatic cancer risk, especially in women.

Published
2010

24. A genome-wide association study identifies pancreatic cancer susceptibility loci on chromosomes 13q22.1, 1q32.1 and 5p15.33.

Author

Petersen, Gloria M, Amundadottir, Laufey, Fuchs, Charles S, Kraft, Peter, Stolzenberg-Solomon, Rachael Z, Jacobs, Kevin B, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gallinger, Steven, Gross, Myron, Helzlsouer, Kathy, Holly, Elizabeth A, Jacobs, Eric J, Klein, Alison P, LaCroix, Andrea, Li, Donghui, Mandelson, Margaret T, Olson, Sara H, Risch, Harvey A, Zheng, Wei, Albanes, Demetrius, Bamlet, William R, Berg, Christine D, Boutron-Ruault, Marie-Christine, Buring, Julie E, Bracci, Paige M, Canzian, Federico, Clipp, Sandra, Cotterchio, Michelle, de Andrade, Mariza, Duell, Eric J, Gaziano, J Michael, Giovannucci, Edward L, Goggins, Michael, Hallmans, Göran, Hankinson, Susan E, Hassan, Manal, Howard, Barbara, Hunter, David J, Hutchinson, Amy, Jenab, Mazda, Kaaks, Rudolf, Kooperberg, Charles, Krogh, Vittorio, Kurtz, Robert C, Lynch, Shannon M, McWilliams, Robert R, Mendelsohn, Julie B, Michaud, Dominique S, Parikh, Hemang, Patel, Alpa V, Peeters, Petra HM, Rajkovic, Aleksandar, Riboli, Elio, Rodriguez, Laudina, Seminara, Daniela, Shu, Xiao-Ou, Thomas, Gilles, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Van Den Eeden, Stephen K, Virtamo, Jarmo, Wactawski-Wende, Jean, Wang, Zhaoming, Wolpin, Brian M, Yu, Herbert, Yu, Kai, Zeleniuch-Jacquotte, Anne, Fraumeni, Joseph F, Hoover, Robert N, Hartge, Patricia, and Chanock, Stephen J

Subjects
Chromosomes, Human, Pair 1, Chromosomes, Human, Pair 5, Chromosomes, Human, Pair 13, Humans, Carcinoma, Pancreatic Neoplasms, Genetic Predisposition to Disease, Case-Control Studies, Cohort Studies, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Loci, Rare Diseases, Cancer, Genetics, Clinical Research, Pancreatic Cancer, Digestive Diseases, Human Genome, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We conducted a genome-wide association study of pancreatic cancer in 3,851 affected individuals (cases) and 3,934 unaffected controls drawn from 12 prospective cohort studies and 8 case-control studies. Based on a logistic regression model for genotype trend effect that was adjusted for study, age, sex, self-described ancestry and five principal components, we identified eight SNPs that map to three loci on chromosomes 13q22.1, 1q32.1 and 5p15.33. Two correlated SNPs, rs9543325 (P = 3.27 x 10(-11), per-allele odds ratio (OR) 1.26, 95% CI 1.18-1.35) and rs9564966 (P = 5.86 x 10(-8), per-allele OR 1.21, 95% CI 1.13-1.30), map to a nongenic region on chromosome 13q22.1. Five SNPs on 1q32.1 map to NR5A2, and the strongest signal was at rs3790844 (P = 2.45 x 10(-10), per-allele OR 0.77, 95% CI 0.71-0.84). A single SNP, rs401681 (P = 3.66 x 10(-7), per-allele OR 1.19, 95% CI 1.11-1.27), maps to the CLPTM1L-TERT locus on 5p15.33, which is associated with multiple cancers. Our study has identified common susceptibility loci for pancreatic cancer that warrant follow-up studies.

Published
2010

25. Pancreatic cancer risk and ABO blood group alleles: results from the pancreatic cancer cohort consortium.

Author

Wolpin, Brian M, Kraft, Peter, Gross, Myron, Helzlsouer, Kathy, Bueno-de-Mesquita, H Bas, Steplowski, Emily, Stolzenberg-Solomon, Rachael Z, Arslan, Alan A, Jacobs, Eric J, Lacroix, Andrea, Petersen, Gloria, Zheng, Wei, Albanes, Demetrius, Allen, Naomi E, Amundadottir, Laufey, Anderson, Garnet, Boutron-Ruault, Marie-Christine, Buring, Julie E, Canzian, Federico, Chanock, Stephen J, Clipp, Sandra, Gaziano, John Michael, Giovannucci, Edward L, Hallmans, Göran, Hankinson, Susan E, Hoover, Robert N, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin, Kooperberg, Charles, Lynch, Shannon M, Mendelsohn, Julie B, Michaud, Dominique S, Overvad, Kim, Patel, Alpa V, Rajkovic, Aleksandar, Sanchéz, Maria-José, Shu, Xiao-Ou, Slimani, Nadia, Thomas, Gilles, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Vineis, Paolo, Virtamo, Jarmo, Wactawski-Wende, Jean, Yu, Kai, Zeleniuch-Jacquotte, Anne, Hartge, Patricia, and Fuchs, Charles S

Subjects
Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, ABO Blood-Group System, Logistic Models, Odds Ratio, Risk Factors, Cohort Studies, Gene Frequency, Genotype, Alleles, Aged, Middle Aged, Female, Male, Clinical Research, Genetics, Pancreatic Cancer, Rare Diseases, Digestive Diseases, Cancer, Prevention, 2.1 Biological and endogenous factors, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

A recent genome-wide association study (PanScan) identified significant associations at the ABO gene locus with risk of pancreatic cancer, but the influence of specific ABO genotypes remains unknown. We determined ABO genotypes (OO, AO, AA, AB, BO, and BB) in 1,534 cases and 1,583 controls from 12 prospective cohorts in PanScan, grouping participants by genotype-derived serologic blood type (O, A, AB, and B). Adjusted odds ratios (ORs) for pancreatic cancer by ABO alleles were calculated using logistic regression. Compared with blood type O, the ORs for pancreatic cancer in subjects with types A, AB, and B were 1.38 [95% confidence interval (95% CI), 1.18-1.62], 1.47 (95% CI, 1.07-2.02), and 1.53 (95% CI, 1.21-1.92), respectively. The incidence rates for blood types O, A, AB, and B were 28.9, 39.9, 41.8, and 44.5 cases per 100,000 subjects per year. An increase in risk was noted with the addition of each non-O allele. Compared with OO genotype, subjects with AO and AA genotype had ORs of 1.33 (95% CI, 1.13-1.58) and 1.61 (95% CI, 1.22-2.18), whereas subjects with BO and BB genotypes had ORs of 1.45 (95% CI, 1.14-1.85) and 2.42 (1.28-4.57). The population attributable fraction for non-O blood type was 19.5%. In a joint model with smoking, current smokers with non-O blood type had an adjusted OR of 2.68 (95% CI, 2.03-3.54) compared with nonsmokers of blood type O. We concluded that ABO genotypes were significantly associated with pancreatic cancer risk.

Published
2010

26. Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer.

Author

Amundadottir, Laufey, Kraft, Peter, Stolzenberg-Solomon, Rachael Z, Fuchs, Charles S, Petersen, Gloria M, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Zheng, Wei, Albanes, Demetrius, Bamlet, William, Berg, Christine D, Berrino, Franco, Bingham, Sheila, Buring, Julie E, Bracci, Paige M, Canzian, Federico, Clavel-Chapelon, Françoise, Clipp, Sandra, Cotterchio, Michelle, de Andrade, Mariza, Duell, Eric J, Fox, John W, Gallinger, Steven, Gaziano, J Michael, Giovannucci, Edward L, Goggins, Michael, González, Carlos A, Hallmans, Göran, Hankinson, Susan E, Hassan, Manal, Holly, Elizabeth A, Hunter, David J, Hutchinson, Amy, Jackson, Rebecca, Jacobs, Kevin B, Jenab, Mazda, Kaaks, Rudolf, Klein, Alison P, Kooperberg, Charles, Kurtz, Robert C, Li, Donghui, Lynch, Shannon M, Mandelson, Margaret, McWilliams, Robert R, Mendelsohn, Julie B, Michaud, Dominique S, Olson, Sara H, Overvad, Kim, Patel, Alpa V, Peeters, Petra HM, Rajkovic, Aleksandar, Riboli, Elio, Risch, Harvey A, Shu, Xiao-Ou, Thomas, Gilles, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Van Den Eeden, Stephen K, Virtamo, Jarmo, Wactawski-Wende, Jean, Wolpin, Brian M, Yu, Herbert, Yu, Kai, Zeleniuch-Jacquotte, Anne, Chanock, Stephen J, Hartge, Patricia, and Hoover, Robert N

Subjects
Chromosomes, Human, Pair 9, Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, ABO Blood-Group System, Logistic Models, Odds Ratio, Risk Factors, Case-Control Studies, Cohort Studies, Prospective Studies, Gene Frequency, Genotype, Haplotypes, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Alleles, Introns, United States, Female, Male, Genetic Variation, Genome-Wide Association Study, Prevention, Rare Diseases, Cancer, Genetics, Clinical Research, Pancreatic Cancer, Digestive Diseases, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We conducted a two-stage genome-wide association study of pancreatic cancer, a cancer with one of the lowest survival rates worldwide. We genotyped 558,542 SNPs in 1,896 individuals with pancreatic cancer and 1,939 controls drawn from 12 prospective cohorts plus one hospital-based case-control study. We conducted a combined analysis of these groups plus an additional 2,457 affected individuals and 2,654 controls from eight case-control studies, adjusting for study, sex, ancestry and five principal components. We identified an association between a locus on 9q34 and pancreatic cancer marked by the SNP rs505922 (combined P = 5.37 x 10(-8); multiplicative per-allele odds ratio 1.20; 95% confidence interval 1.12-1.28). This SNP maps to the first intron of the ABO blood group gene. Our results are consistent with earlier epidemiologic evidence suggesting that people with blood group O may have a lower risk of pancreatic cancer than those with groups A or B.

Published
2009

27. Association of ESR1 gene tagging SNPs with breast cancer risk

Author

Dunning, Alison M, Healey, Catherine S, Baynes, Caroline, Maia, Ana-Teresa, Scollen, Serena, Vega, Ana, Rodríguez, Raquel, Barbosa-Morais, Nuno L, Ponder, Bruce AJ, Low, Yen-Ling, Bingham, Sheila, Haiman, Christopher A, Le Marchand, Loic, Broeks, Annegien, Schmidt, Marjanka K, Hopper, John, Southey, Melissa, Beckmann, Matthias W, Fasching, Peter A, Peto, Julian, Johnson, Nichola, Bojesen, Stig E, Nordestgaard, Børge, Milne, Roger L, Benitez, Javier, Hamann, Ute, Ko, Yon, Schmutzler, Rita K, Burwinkel, Barbara, Schürmann, Peter, Dörk, Thilo, Heikkinen, Tuomas, Nevanlinna, Heli, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kosma, Veli-Matti, Chen, Xiaoqing, Spurdle, Amanda, Change-Claude, Jenny, Flesch-Janys, Dieter, Couch, Fergus J, Olson, Janet E, Severi, Gianluca, Baglietto, Laura, Børresen-Dale, Anne-Lise, Kristensen, Vessela, Hunter, David J, Hankinson, Susan E, Devilee, Peter, Vreeswijk, Maaike, Lissowska, Jolanta, Brinton, Louise, Liu, Jianjun, Hall, Per, Kang, Daehee, Yoo, Keun-Young, Shen, Chen-Yang, Yu, Jyh-Cherng, Anton-Culver, Hoda, Ziogoas, Argyrios, Sigurdson, Alice, Struewing, Jeff, Easton, Douglas F, Garcia-Closas, Montserrat, Humphreys, Manjeet K, Morrison, Jonathan, Pharoah, Paul DP, Pooley, Karen A, and Chenevix-Trench, Georgia

Subjects
Genetics, Cancer, Breast Cancer, Prevention, Clinical Research, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, Estrogen Receptor alpha, Female, Genetic Predisposition to Disease, Haplotypes, Humans, Neoplasm Staging, Polymorphism, Single Nucleotide, RNA, Neoplasm, SEARCH, EPIC, MEC, ABCS, ABCFS, BBCC, BBCS, CGPS, CNIO-BCS, GENICA, GC-HBOC, HABCS, HEBCS, KARBAC, KBCS, kConFab and the AOCS Management Group, MARIE, for MCBCS, MCCS, NBCS, NHS, ORIGO, PBCS, SASBAC, SEBCS, TWBCS, UCIBCS, USRTS, BCAC, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

We have conducted a three-stage, comprehensive single nucleotide polymorphism (SNP)-tagging association study of ESR1 gene variants (SNPs) in more than 55,000 breast cancer cases and controls from studies within the Breast Cancer Association Consortium (BCAC). No large risks or highly significant associations were revealed. SNP rs3020314, tagging a region of ESR1 intron 4, is associated with an increase in breast cancer susceptibility with a dominant mode of action in European populations. Carriers of the c-allele have an odds ratio (OR) of 1.05 [95% Confidence Intervals (CI) 1.02-1.09] relative to t-allele homozygotes, P = 0.004. There is significant heterogeneity between studies, P = 0.002. The increased risk appears largely confined to oestrogen receptor-positive tumour risk. The region tagged by SNP rs3020314 contains sequence that is more highly conserved across mammalian species than the rest of intron 4, and it may subtly alter the ratio of two mRNA splice forms.

Published
2009

28. Plasma Metabolomic Signature of Early Abuse in Middle-Aged Women

Author

Huang, Tianyi, Zeleznik, Oana A., Roberts, Andrea L., Balasubramanian, Raji, Clish, Clary B., Eliassen, A. Heather, Rexrode, Kathryn M., Tworoger, Shelley S., Hankinson, Susan E., Koenen, Karestan C., and Kubzansky, Laura D.

Subjects
Adult, Psychiatry and Mental health, Adolescent, Child, Preschool, Humans, Female, Child Abuse, Middle Aged, Child, Article, Applied Psychology, Body Mass Index, Retrospective Studies
Abstract

Metabolomic profiling may provide insights into biological mechanisms underlying the strong epidemiologic links observed between early abuse and cardiometabolic disorders in later life.We examined the associations between early abuse and midlife plasma metabolites in two nonoverlapping subsamples from the Nurses' Health Study II, comprising 803 (mean age = 40 years) and 211 women (mean age = 61 years). Liquid chromatography-tandem mass spectrometry assays were used to measure metabolomic profiles, with 283 metabolites consistently measured in both subsamples. Physical and sexual abuse before age 18 years was retrospectively assessed by validated questions integrating type/frequency of abuse. Analyses were conducted in each sample and pooled using meta-analysis, with multiple testing adjustment using the q value approach for controlling the positive false discovery rate.After adjusting for age, race, menopausal status, body size at age 5 years, and childhood socioeconomic indicators, more severe early abuse was consistently associated with five metabolites at midlife (q value0.20 in both samples), including lower levels of serotonin and C38:3 phosphatidylethanolamine plasmalogen and higher levels of alanine, proline, and C40:6 phosphatidylethanolamine. Other metabolites potentially associated with early abuse (q value0.05 in the meta-analysis) included triglycerides, phosphatidylcholine plasmalogens, bile acids, tyrosine, glutamate, and cotinine. The association between early abuse and midlife metabolomic profiles was partly mediated by adulthood body mass index (32% mediated) and psychosocial distress (13%-26% mediated), but not by other life-style factors.Early abuse was associated with distinct metabolomic profiles of multiple amino acids and lipids in middle-aged women. Body mass index and psychosocial factors in adulthood may be important intermediates for the observed association.

Published
2022

29. A Multi-state survival model for time to breast cancer mortality among a cohort of initially disease-free women 05/18/2022

Author

Rosner, Bernard, Glynn, Robert J., Eliassen, A. Heather, Hankinson, Susan E., Tamimi, Rulla M., Chen, Wendy Y., Holmes, Michelle D., Mu, Yi, Peng, Cheng, Colditz, Graham A., Willett, Walter C., and Tworoger, Shelley S.

Subjects
Cohort Studies, Postmenopause, Adolescent, Risk Factors, Humans, Breast Neoplasms, Female, Prognosis, Article, Disease-Free Survival
Abstract

Identifying risk factors for aggressive forms of breast cancer is important. Tumor factors (e.g., stage) are important predictors of prognosis, but may be intermediates between prediagnosis risk factors and mortality. Typically, separate models are fit for incidence and mortality postdiagnosis. These models have not been previously integrated to identify risk factors for lethal breast cancer in cancer-free women.We combined models for breast cancer incidence and breast cancer-specific mortality among cases into a multi-state survival model for lethal breast cancer. We derived the model from cancer-free postmenopausal Nurses' Health Study women in 1990 using baseline risk factors. A total of 4,391 invasive breast cancer cases were diagnosed from 1990 to 2014 of which 549 died because of breast cancer over the same period.Some established risk factors (e.g., family history, estrogen plus progestin therapy) were not associated with lethal breast cancer. Controlling for age, the strongest risk factors for lethal breast cancer were weight gain since age 18:gt; 30 kg versus ± 5 kg, RR = 1.94 [95% confidence interval (CI) = 1.38-2.74], nulliparity versus age at first birth (AAFB)lt; 25, RR = 1.60 (95% CI = 1.16-2.22), and current smoking ≥ 15 cigarettes/day versus never, RR = 1.42 (95% CI = 1.07-1.89).Some breast cancer incidence risk factors are not associated with lethal breast cancer; other risk factors for lethal breast cancer are not associated with disease incidence.This multi-state survival model may be useful for identifying prediagnosis factors that lead to more aggressive and ultimately lethal breast cancer.

Published
2022

30. Estimating the receiver operating characteristic curve in matched case control studies

Author

Xu, Hui, Qian, Jing, Paynter, Nina P., Zhang, Xuehong, Whitcomb, Brian W., Tworoger, Shelley S., Rexrode, Kathryn M., Hankinson, Susan E., and Balasubramanian, Raji

Subjects
Adult, Aged, 80 and over, Models, Statistical, Age Factors, Breast Neoplasms, Middle Aged, Article, ROC Curve, Cardiovascular Diseases, Risk Factors, Case-Control Studies, Humans, Female, Aged, Probability
Abstract

The matched case-control design is frequently used in the study of complex disorders and can result in significant gains in efficiency, especially in the context of measuring biomarkers; however, risk prediction in this setting is not straightforward. We propose an inverse-probability weighting approach to estimate the predictive ability associated with a set of covariates. In particular, we propose an algorithm for estimating the summary index, area under the curve corresponding to the Receiver Operating Characteristic curve associated with a set of pre-defined covariates for predicting a binary outcome. By combining data from the parent cohort with that generated in a matched case control study, we describe methods for estimation of the population parameters of interest and the corresponding area under the curve. We evaluate the bias associated with the proposed methods in simulations by considering a range of parameter settings. We illustrate the methods in two data applications: (1) a prospective cohort study of cardiovascular disease in women, the Women's Health Study, and (2) a matched case-control study nested within the Nurses' Health Study aimed at risk prediction of invasive breast cancer.

Published
2018

31. Association of breast cancer risk loci with breast cancer survival

Author

Barrdahl, Myrto, Canzian, Federico, Lindström, Sara, Shui, Irene, Black, Amanda, Hoover, Robert N., Ziegler, Regina G., Buring, Julie E., Chanock, Stephen J., Diver, W. Ryan, Gapstur, Susan M., Gaudet, Mia M., Giles, Graham G., Haiman, Christopher, Henderson, Brian E., Hankinson, Susan, Hunter, David J., Joshi, Amit D., Kraft, Peter, Lee, I. Min, Le Marchand, Loic, Milne, Roger L., Southey, Melissa C., Willett, Walter, Gunter, Marc, Panico, Salvatore, Sund, Malin, Weiderpass, Elisabete, Sánchez, María José, Overvad, Kim, Dossus, Laure, Peeters, Petra H., Khaw, Kay Tee, Trichopoulos, Dimitrios, Kaaks, Rudolf, Campa, Daniele, Barrdahl, Myrto, Canzian, Federico, Lindström, Sara, Shui, Irene, Black, Amanda, Hoover, Robert N, Ziegler, Regina G, Buring, Julie E, Chanock, Stephen J, Diver, W. Ryan, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, Haiman, Christopher, Henderson, Brian E, Hankinson, Susan, Hunter, David J, Joshi, Amit D, Kraft, Peter, Lee, I. Min, Le Marchand, Loic, Milne, Roger L, Southey, Melissa C, Willett, Walter, Gunter, Marc, Panico, Salvatore, Sund, Malin, Weiderpass, Elisabete, Sánchez, María José, Overvad, Kim, Dossus, Laure, Peeters, Petra H, Khaw, Kay Tee, Trichopoulos, Dimitrio, Kaaks, Rudolf, and Campa, Daniele

Subjects
Cancer Research, SNP, Breast Neoplasms, Genetic Association Studie, Polymorphism, Single Nucleotide, survival, meta-analysi, Article, breast cancer, BPC3, meta-analysis, Research Support, N.I.H., Extramural, Risk Factors, Journal Article, Humans, Genetic Predisposition to Disease, Genetic Association Studies, Proportional Hazards Models, Research Support, N.I.H., Intramural, Oncology, Genetic Loci, Proportional Hazards Model, Female, Research Support, U.S. Gov't, Non-P.H.S, Breast Neoplasm, Human
Abstract

The survival of breast cancer patients is largely influenced by tumor characteristics, such as TNM stage, tumor grade and hormone receptor status. However, there is growing evidence that inherited genetic variation might affect the disease prognosis and response to treatment. Several lines of evidence suggest that alleles influencing breast cancer risk might also be associated with breast cancer survival. We examined the associations between 35 breast cancer susceptibility loci and the disease over-all survival (OS) in 10,255 breast cancer patients from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3) of which 1,379 died, including 754 of breast cancer. We also conducted a meta-analysis of almost 35,000 patients and 5,000 deaths, combining results from BPC3 and the Breast Cancer Association Consortium (BCAC) and performed in silico analyses of SNPs with significant associations. In BPC3, the C allele of LSP1-rs3817198 was significantly associated with improved OS (HRper-allele =0.70; 95% CI: 0.58-0.85; ptrend = 2.84 × 10(-4) ; HRheterozygotes = 0.71; 95% CI: 0.55-0.92; HRhomozygotes = 0.48; 95% CI: 0.31-0.76; p2DF = 1.45 × 10(-3) ). In silico, the C allele of LSP1-rs3817198 was predicted to increase expression of the tumor suppressor cyclin-dependent kinase inhibitor 1C (CDKN1C). In the meta-analysis, TNRC9-rs3803662 was significantly associated with increased death hazard (HRMETA =1.09; 95% CI: 1.04-1.15; ptrend = 6.6 × 10(-4) ; HRheterozygotes = 0.96 95% CI: 0.90-1.03; HRhomozygotes = 1.21; 95% CI: 1.09-1.35; p2DF =1.25 × 10(-4) ). In conclusion, we show that there is little overlap between the breast cancer risk single nucleotide polymorphisms (SNPs) identified so far and the SNPs associated with breast cancer prognosis, with the possible exceptions of LSP1-rs3817198 and TNRC9-rs3803662.

Published
2015

32. Erythrocyte membrane fatty acids and breast cancer risk: a prospective analysis in the Nurses’ Health Study II

Author

Hirko, Kelly A., Chai, Boyang, Spiegelman, Donna, Campos, Hannia, Farvid, Maryam S., Hankinson, Susan E., Willett, Walter C., and Eliassen, A. Heather

Subjects
Adult, Erythrocyte Membrane, Fatty Acids, Nurses, Breast Neoplasms, Middle Aged, Dietary Fats, Article, United States, Premenopause, Risk Factors, Case-Control Studies, Humans, Female, Obesity, Prospective Studies
Abstract

The roles of specific fatty acids in breast cancer etiology are unclear, particularly among premenopausal women. We examined 34 individual fatty acids, measured in blood erythrocytes collected between 1996–1999, and breast cancer risk in a nested case-control study of primarily premenopausal women in the Nurses’ Health Study II. Breast cancer cases diagnosed after blood collection and before June 2010 (n=794) were matched to controls and conditional logistic regression was used to estimate OR’s (95% CI’s) for associations of fatty acids with breast cancer; unconditional logistic regression was used for stratified analyses. Fatty acids were not significantly associated with breast cancer risk overall; however, heterogeneity by body mass index (BMI) was observed. Among overweight/obese women (BMI≥25), several odd-chain saturated (SFA, e.g. 17:0, OR(Q4vsQ1)(95%CI) =1.85 (1.18–2.88), p(trend)=0.006 p(int)

Published
2017

33. Vitamin D and calcium intake and risk of early menopause12

Author

Purdue-Smithe, Alexandra C, Whitcomb, Brian W, Szegda, Kathleen L, Boutot, Maegan E, Manson, JoAnn E, Hankinson, Susan E, Rosner, Bernard A, Troy, Lisa M, Michels, Karin B, and Bertone-Johnson, Elizabeth R

Subjects
Adult, Age Factors, Vitamins, Calcium, Dietary, Nutritional Epidemiology and Public Health, Risk Factors, Dietary Supplements, Humans, Calcium, Female, Dairy Products, Micronutrients, Prospective Studies, Menopause, Vitamin D, Proportional Hazards Models
Abstract

Background: Early menopause, defined as the cessation of ovarian function before the age of 45 y, affects ∼10% of women and is associated with higher risk of cardiovascular disease, osteoporosis, and other conditions. Few modifiable risk factors for early menopause have been identified, but emerging data suggest that high vitamin D intake may reduce risk.

Published
2017

34. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer

Author

Milne, Roger L., Kuchenbaecker, Karoline B., Michailidou, Kyriaki, Beesley, Jonathan, Kar, Siddhartha, Lindstrom, Sara, Hui, Shirley, Lemaçon, Audrey, Soucy, Penny, Dennis, Joe, Jiang, Xia, Rostamianfar, Asha, Finucane, Hilary, Bolla, Manjeet K., McGuffog, Lesley, Wang, Qin, Aalfs, Cora M., Abctctb, Investigators, Adams, Marcia, Adlard, Julian, Agata, Simona, Ahmed, Shahana, Ahsan, Habibul, Aittom, Kristiina Äki, Fares, Al Ejeh, Allen, Jamie, Ambrosone, Christine B., Amos, Christopher I., Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Arndt, Volker, Arnold, Norbert, Aronson, Kristan J., Auber, Bernd, Auer, Paul L., Ausems, Margreet G.M., Azzollini, Jacopo, François, Bacot, Balma, Judith Nã, Barile, Monica, Barjhoux, Laure, Barkardottir, Rosa B., Barrdahl, Myrto, Barnes, Daniel, Barrowdale, Daniel, Baynes, Caroline, Beckmann, Matthias W., Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Bignon, Yves Jean, Blazer, Kathleen R., Blok, Marinus J., Blomqvist, Carl, Blot, William, Bobolis, Kristie, Boeckx, Bram, Bogdanova, Natalia V., Bojesen, Anders, Bojesen, Stig E., Bonanni, Bernardo, Anne-Lise, Børresen Dale, Bozsik, Aniko, Bradbury, Angela R., Brand, Judith S., Brauch, Hiltrud, Brenner, Hermann, Brigitte, Bressac De Paillerets, Brewer, Carole, Brinton, Louise, Broberg, Per, Angela, Brooks Wilson, Brunet, Joan, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S., Byun, Jinyoung, Cai, Qiuyin, Cald, Trinidad És, Caligo, Maria A., Campbell, Ian, Canzian, Federico, Caron, Olivier, Carracedo, Angel, Carter, Brian D., Esteban, Castelao, Castera, Laurent, Virginie, Caux Moncoutier, Chan, Salina B., Jenny, Chang Claude, Chanock, Stephen J., Chen, Xiaoqing, Cheng, Ting Yuan David, Chiquette, Jocelyne, Christiansen, Hans, Claes, Kathleen B., Clarke, Christine L., Conner, Thomas, Conroy, Don M., Cook, Jackie, Cordina-Duverger, Emilie, Cornelissen, Sten, Coupier, Isabelle, Cox, Angela, Cox, David G., Cross, Simon S., Cuk, Katarina, Cunningham, J. M., Czene, Kamila, Daly, Mary B., Damiola, Francesca, Darabi, Hatef, Davidson, Rosemarie, Leeneer, Kim De L., Devilee, Peter, Dicks, Ed, Diez, Orland, Ding, Yuan Chun, Ditsch, Nina, Doheny, Kimberly F., Domchek, Susan M., Dorfling, Cecilia M., Dörk, Thilo, Dos-Santos-Silva, Isabel, Dubois, Stéphane, Dugué, Pierre Antoine, Dumont, Martine, Dunning, Alison M., Durcan, Lorraine, Dwek, Miriam, Dworniczak, Bernd, Eccles, Diana, Eeles, Ros, Ehrencrona, Hans, Eilber, Ursula, Ejlertsen, Bent, Ekici, Arif B., Eliassen, A. Heather, Engel, Christoph, Eriksson, Mikael, Fachal, Laura, Faivre, Laurence, Fasching, Peter A., Faust, Ulrike, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Foulkes, William D., Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gabrielson, Marike, Gaddam, Pragna, Gammon, Marilie D., Ganz, Patricia A., Gapstur, Susan M., Garber, Judy, Garcia-Barberan, Vanesa, Garciá-Saénz, José A., Gaudet, Mia M., Gauthier-Villars, Marion, Gehrig, Andrea, Georgoulias, Vassilios, Gerdes, Anne Marie, Giles, Graham G., Glendon, Gord, Godwin, Andrew K., Goldberg, Mark S., Goldgar, David E., González-Neira, Anna, Goodfellow, Paul, Greene, Mark H., Grenaker, Grethe Alnæs I., Grip, Mervi, Gronwald, Jacek, Grundy, Anne, Gschwantler, Daphne Kaulich, Guénel, Pascal, Guo, Qi, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hallberg, Emily, Hamann, Ute, Hamel, Nathalie, Hankinson, Susan, Hansen, Thomas V., Harrington, Patricia, Hart, Steven N., Hartikainen, Jaana M., Healey, Catherine S., Hein, Alexander, Helbig, Sonja, Henderson, Alex, Heyworth, Jane, Hicks, Belynda, Hillemanns, Peter, Hodgson, Shirley, Hogervorst, Frans B., Hollestelle, Antoinette, Hooning, Maartje J., Hoover, Bob, Hopper, John L., Hu, Chunling, Huang, Guanmengqian, Hulick, Peter J., Humphreys, Keith, Hunter, David J., Imyanitov, Evgeny N., Isaacs, Claudine, Iwasaki, Motoki, Izatt, Louise, Jakubowska, Anna, James, Paul, Janavicius, Ramunas, Janni, Wolfgang, Jensen, Uffe Birk, John, Esther M., Johnson, Nichola, Jones, Kristine, Jones, Michael, Jukkola-Vuorinen, Arja, Kaaks, Rudolf, Kabisch, Maria, Kaczmarek, Katarzyna, Kang, Daehee, Kast, Karin, Keeman, Renske, Kerin, Michael J., Kets, Carolien M., Keupers, Mac Hteld, Khan, Sofia, Khusnutdinova, Elza, Kiiski, Johanna I., Kim, Sung Won, Knight, Julia A., Konstantopoulou, Irene, Kosma, Veli Matti, Kristensen, Vessela N., Kruse, Torben A., Kwong, Ava, Lænkholm, Anne Vibeke, Laitman, Yael, Lalloo, Fiona, Lambrechts, Diether, Landsman, Keren, Lasset, Christine, Lazaro, Conxi, Marchand, Loic Le, Lindström, Sara, Al-Ejeh, Fares, Margreet, G. M.Ausems, Bacot, François, Børresen-Dale, Anne Lise, Bressac-De, Brigitte Paillerets, Brooks-Wilson, Angela, Castelao, J. Esteban, Caux-Moncoutier, Virginie, Chang-Claude, Jenny, McLaes, Kathleen B., Leeneer, Kim De, Dieter, Flesch Janys, Gschwantler-Kaulich, Daphne, Keupers, MacHteld, Lecarpentier, Julie, Lee, Andrew, Lee, Eunjung, Won, Jong Lee, Lee, Min Hyuk, Lejbkowicz, Flavio, Lesueur, Fabienne, Li, Jingmei, Lilyquist, Jenna, Lincoln, Anne, Lindblom, Annika, Lissowska, Jolanta, Lo, Wing Yee, Loibl, Sibylle, Long, Jirong, Loud, Jennifer T., Lubinski, Jan, Luccarini, Craig, Lush, Michael, MacInnis, Robert J., Maishman, Tom, Makalic, Enes, Kostovska, Ivana Maleva, Malone, Kathleen E., Siranoush, Manoukian, Manson, Joann E., Margolin, Sara, Martens, John W., Martinez, Maria Elena, Matsuo, Keitaro, Mavroudis, Dimitrios, Mazoyer, Sylvie, McLean, Catriona, Meijers-Heijboer, Hanne, Menéndez, Primitiva, Meyer, Jeffery, Miao, Hui, Miller, Austin, Miller, Nicola, Mitchell, Gillian, Montagna, Marco, Muir, Kenneth, Mulligan, Anna Marie, Mulot, Claire, Nadesan, Sue, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Nevelsteen, Ines, Niederacher, Dieter, Nielsen, Sune F., Nordestgaard, Børge G., Norman, Aaron, Nussbaum, Robert L., Olah, Edith, Olopade, Olufunmilayo I., Olson, Janet E., Olswold, Curtis, Ong, Kai Ren, Oosterwijk, Jan C., Orr, Nick, Osorio, Ana, Pankratz, V. Shane, Papi, Laura, Park-Simon, Tjoung Won, Paulsson-Karlsson, Ylva, Lloyd, Rachel, Pedersen, Inge Søkilde, Peissel, Bernard, Peixoto, Ana, Perez, Jose I., Peterlongo, Paolo, Peto, Julian, Pfeiler, Georg, Phelan, Catherine M., Pinchev, Mila, Plaseska-Karanfilska, Dijana, Poppe, Bruce, Porteous, Mary E., Prentice, Ross, Presneau, Nadege, Prokofieva, Darya, Pugh, Elizabeth, Pujana, Miquel Angel, Pylkäs, Katri, Rack, Brigitte, Radice, Paolo, Rahman, Nazneen, Rantala, Johanna, Rappaport-Fuerhauser, Christine, Rennert, Gad, Rennert, Hedy S., Rhenius, Valerie, Rhiem, Kerstin, Richardson, Andrea, Rodriguez, Gustavo C., Romero, Atocha, Romm, Jane, Rookus, Matti A., Rudolph, Anja, Ruediger, Thomas, Saloustros, Emmanouil, Sanders, Joyce, Sandler, Dale P., Sangrajrang, Suleeporn, Sawyer, Elinor J., Schmidt, Daniel F., Schoemaker, Minouk J., Schumacher, Fredrick, Schürmann, Peter, Schwentner, Lukas, Scott, Christopher, Scott, Rodney J., Seal, Sheila, Senter, Leigha, Seynaeve, Caroline, Shah, Mitul, Sharma, Priyanka, Shen, Chen Yang, Sheng, Xin, Shimelis, Hermela, Shrubsole, Martha J., Shu, Xiao Ou, Side, Lucy E., Singer, Christian F., Sohn, Christof, Southey, Melissa C., Spinelli, John J., Spurdle, Amanda B., Stegmaier, Christa, Stoppa-Lyonnet, Dominique, Sukiennicki, Grzegorz, Surowy, Harald, Sutter, Christian, Swerdlow, Anthony, Szabo, Csilla I., Tamimi, Rulla M., Tan, Yen Y., Taylor, Jack A., Tejada, Maria Isabel, Tengström, Maria, Teo, Soo H., Terry, Mary B., Tessier, Daniel C., Teul, Alex E., Thöne, Kathrin, Thull, Darcy L., Tibiletti, Maria Grazia, Tihomirova, Laima, Tischkowitz, Marc, Toland, Amanda E., Tollenaar, Rob A.M., Tomlinson, Ian, Tong, Ling, Torres, Diana, Tranchant, Martine, Truong, Thérèse, Tucker, Kathy, Tung, Nadine, Tyrer, Jonathan, Ulmer, Hans Ulrich, Vachon, Celine, Christi, Van Asperen J., Den Berg, David Van, Ouweland, Ans M.Vanden, Rensburg, Elizabeth J., Varesco, Liliana, Varon-Mateeva, Raymonda, Vega, Ana, Viel, Alessandra, Vijai, Joseph, Vincent, Daniel, Vollenweider, Jason, Walker, Lisa, Wang, Zhaoming, Wang-Gohrke, Shan, Wappenschmidt, Barbara, Weinberg, Clarice R., Weitzel, Jeffrey N., Wendt, Camilla, Wesseling, Jelle, Whittemore, Alice S., Wijnen, Juul T., Willett, Walter, Winqvist, Robert, Wolk, Alicja, Wu, Anna H., Xia, Lucy, Yang, Xiaohong R., Yannoukakos, Drakoulis, Zaffaroni, Daniela, Zheng, Wei, Zhu, Bin, Ziogas, Argyrios, Ziv, Elad, Zorn, Kristin K., Gago-Dominguez, Manuela, Mannermaa, Arto, Olsson, Håkan, Teixeira, Manuel R., Stone, Jennifer, Offit, Kenneth, Ottini, Laura, Park, Sue K., Thomassen, Mads, Hall, Per, Meindl, Alfons, Schmutzler, Rita K., Droit, Arnaud, Bader, Gary D., Pharoah, Paul D., Couch, Fergus J., Easton, Douglas F., Kraft, Peter, Chenevix-Trench, Georgia, Garciá-Closas, Montserrat, Schmidt, Marjanka K., Antoniou, Antonis C., Simard, Jacques, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Targeted Gynaecologic Oncology (TARGON), Human Genetics, CCA - Cancer biology and immunology, Epidemiology and Data Science, Amsterdam Neuroscience - Complex Trait Genetics, Human genetics, Amsterdam Reproduction & Development (AR&D), Clinical Genetics, Medical Oncology, Internal Medicine, Obstetrics & Gynecology, MUMC+: DA KG Lab Centraal Lab (9), and RS: GROW - R4 - Reproductive and Perinatal Medicine

Subjects
0301 basic medicine, Oncology, Estrogen receptor, Genome-wide association study, consortium, Gene mutation, DISEASE, Breast cancer, Risk Factors, Receptors, common variants, BRCA2 MUTATION CARRIERS, Medicine and Health Sciences, CONFER SUSCEPTIBILITY, skin and connective tissue diseases, ovarian cancers, BRCA1 Protein, COMMON VARIANTS, Single Nucleotide, OVARIAN CANCERS, 3. Good health, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], Receptors, Estrogen, functional variants, Female, estrogen receptor, SNPs, EXPRESSION, medicine.medical_specialty, Heterozygote, SUSCEPTIBILITY LOCI, European Continental Ancestry Group, Breast cancer, estrogen receptor, SNPs, Single-nucleotide polymorphism, Breast Neoplasms, Biology, Polymorphism, Single Nucleotide, White People, Article, Càncer de mama, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, expression, medicine, Genetic predisposition, Genetics, Journal Article, Humans, Genetic Predisposition to Disease, ddc:610, Risk factor, Polymorphism, GENOME-WIDE ASSOCIATION, FUNCTIONAL VARIANTS, disease, CONSORTIUM, Case-control study, Biology and Life Sciences, medicine.disease, confer susceptibility, Estrogen, susceptibility loci, 030104 developmental biology, Mutation, genome-wide association, brca2 mutation carriers, Genome-Wide Association Study
Abstract

Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease1. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10−8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.

Published
2017

35. Body mass index and breast cancer survival: a Mendelian randomization analysis

Author

Guo, Qi, Burgess, Stephen, Turman, Constance, Bolla, Manjeet K, Wang, Qin, Lush, Michael, Abraham, Jean, Aittomäki, Kristiina, Andrulis, Irene L, Apicella, Carmel, Arndt, Volker, Barrdahl, Myrto, Benitez, Javier, Berg, Christine D, Blomqvist, Carl, Bojesen, Stig E, Bonanni, Bernardo, Brand, Judith S, Brenner, Hermann, Broeks, Annegien, Burwinkel, Barbara, Caldas, Carlos, Campa, Daniele, Canzian, Federico, Chang-Claude, Jenny, Chanock, Stephen J, Chin, Suet-Feung, Couch, Fergus J, Cox, Angela, Cross, Simon S, Cybulski, Cezary, Czene, Kamila, Darabi, Hatef, Devilee, Peter, Diver, W Ryan, Dunning, Alison M, Earl, Helena M, Eccles, Diana M, Ekici, Arif B, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Flyger, Henrik, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, Glendon, Gord, Grip, Mervi, Gronwald, Jacek, Haeberle, Lothar, Haiman, Christopher A, Hall, Per, Hamann, Ute, Hankinson, Susan, Hartikainen, Jaana M, Hein, Alexander, Hiller, Louise, Hogervorst, Frans B, Holleczek, Bernd, Hooning, Maartje J, Hoover, Robert N, Humphreys, Keith, Hunter, David J, Hüsing, Anika, Jakubowska, Anna, Jukkola-Vuorinen, Arja, Kaaks, Rudolf, Kabisch, Maria, Kataja, Vesa, Knight, Julia A, Koppert, Linetta B, Kosma, Veli-Matti, Kristensen, Vessela N, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lindström, Sara, Lissowska, Jolanta, Lubinski, Jan, Machiela, Mitchell J, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Marme, Federik, Martens, John W M, McLean, Catriona, Menéndez, Primitiva, Milne, Roger L, Marie Mulligan, Anna, Muranen, Taru A, Nevanlinna, Heli, Neven, Patrick, Nielsen, Sune F, Nordestgaard, Børge G, Olson, Janet E, Perez, Jose I A, Peterlongo, Paolo, Phillips, Kelly-Anne, Poole, Christopher J, Pylkäs, Katri, Radice, Paolo, Rahman, Nazneen, Rüdiger, Thomas, Rudolph, Anja, Sawyer, Elinor J, Schumacher, Fredrick, Seibold, Petra, Seynaeve, Caroline, Shah, Mitul, Smeets, Ann, Southey, Melissa C, Tollenaar, Rob A E M, Tomlinson, Ian, Tsimiklis, Helen, Ulmer, Hans-Ulrich, Vachon, Celine, van den Ouweland, Ans M W, Van't Veer, Laura J, Wildiers, Hans, Willett, Walter, Winqvist, Robert, Zamora, M Pilar, Chenevix-Trench, Georgia, Dörk, Thilo, Easton, Douglas F, García-Closas, Montserrat, Kraft, Peter, Hopper, John L, Zheng, Wei, Schmidt, Marjanka K, and Pharoah, Paul D P

Subjects
European Continental Ancestry Group, Genetic Variation, Breast Neoplasms, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Risk Assessment, Survival Analysis, Body Mass Index, Causality, Europe, Meta-Analysis as Topic, Receptors, Estrogen, Risk Factors, Mendelian randomization, breast cancer survival, Humans, epidemiology, genetics, Female, skin and connective tissue diseases
Abstract

There is increasing evidence that elevated body mass index (BMI) is associated with reduced survival for women with breast cancer. However, the underlying reasons remain unclear. We conducted a Mendelian randomization analysis to investigate a possible causal role of BMI in survival from breast cancer.

Published
2017

36. Plasma Vitamin D Levels, Menopause, and Risk of Breast Cancer

Author

Bauer, Scott R., Hankinson, Susan E., Bertone-Johnson, Elizabeth R., and Ding, Eric L.

Subjects
Postmenopause, Dose-Response Relationship, Drug, Premenopause, Humans, Original Study, Breast Neoplasms, Female, Prospective Studies, Vitamin D, Risk Assessment
Abstract

Previous evidence suggests that higher circulating 25-hydroxyvitamin D (25[OH]D) levels are variably associated with lower breast cancer risk; however, prospective studies and clinical trials have been inconsistent, particularly between older and younger women of differing menopausal status. We conducted a quantitative nonlinear dose-response meta-analysis of prospective studies evaluating the association between circulating 25(OH)D and breast cancer risk, stratified by menopause. A systematic search of MEDLINE and EMBASE included studies published through May 2011. We reviewed references from retrieved articles and contacted relevant investigators for additional data from prospective studies on circulating 25(OH)D levels and incident breast cancers. Prospective studies of circulating vitamin D and breast cancer risk were reviewed, and no language restrictions were imposed. Information on study population, menopausal status, 25(OH)D levels, and relative risk (RR) estimates were extracted using a standardized protocol. A total of 9 prospective studies were included, comprising 5206 cases and 6450 controls. Data were pooled using dose-response random-effects meta-regression models. Identifying nonlinear effects, spline models were optimized for thresholds. The relationship between circulating 25(OH)D and breast cancer risk differed by menopausal status (p = 0.05 for effect modification). While no association was found in premenopausal women, dose-response modeling revealed a nonlinear inverse association among postmenopausal women. Notably, a flat association was observed in the lowest range of 25(OH)D levels 35 ng/mL. The significant inverse association did not appear to vary across strata of invasive/in-situ cases, body mass index adjustment, region, postmenopausal hormone use, or assay method. In summary, this dose-response meta-analysis of prospective studies of plasma 25(OH)D suggested a breast cancer risk differential by menopause, whereby a step-wise inverse association was observed beyond a threshold of 27 ng/mL, but with flattening of effects above 35 ng/mL, in postmenopausal women. These findings help resolve prior inconsistent findings and may carry important clinical and public health implications.

Published
2013

37. GWAS meta-analysis of 16 852 women identifies new susceptibility locus for endometrial cancer

Author

Chen, Maxine M, O'Mara, Tracy A, Thompson, Deborah J, Painter, Jodie N, Australian National Endometrial Cancer Study Group (ANECS), Attia, John, Black, Amanda, Brinton, Louise, Chanock, Stephen, Chen, Chu, Cheng, Timothy Ht, Cook, Linda S, Crous-Bou, Marta, Doherty, Jennifer, Friedenreich, Christine M, Garcia-Closas, Montserrat, Gaudet, Mia M, Gorman, Maggie, Haiman, Christopher, Hankinson, Susan E, Hartge, Patricia, Henderson, Brian E, Hodgson, Shirley, Holliday, Elizabeth G, Horn-Ross, Pamela L, Hunter, David J, Le Marchand, Loic, Liang, Xiaolin, Lissowska, Jolanta, Long, Jirong, Lu, Lingeng, Magliocco, Anthony M, Martin, Lynn, McEvoy, Mark, National Study Of Endometrial Cancer Genetics Group (NSECG), Olson, Sara H, Orlow, Irene, Pooler, Loreall, Prescott, Jennifer, Rastogi, Radhai, Rebbeck, Timothy R, Risch, Harvey, Sacerdote, Carlotta, Schumacher, Frederick, Wendy Setiawan, Veronica, Scott, Rodney J, Sheng, Xin, Shu, Xiao-Ou, Turman, Constance, Van Den Berg, David, Wang, Zhaoming, Weiss, Noel S, Wentzensen, Nicholas, Xia, Lucy, Xiang, Yong-Bing, Yang, Hannah P, Yu, Herbert, Zheng, Wei, Pharoah, Paul DP, Dunning, Alison M, Tomlinson, Ian, Easton, Douglas F, Kraft, Peter, Spurdle, Amanda B, De Vivo, Immaculata, Thompson, Deborah [0000-0003-1465-5799], Pharoah, Paul [0000-0001-8494-732X], Dunning, Alison [0000-0001-6651-7166], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository

Subjects
Genotype, Humans, Chromosomes, Human, Pair 6, Female, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, White People, Endometrial Neoplasms, Genome-Wide Association Study
Abstract

Endometrial cancer is the most common gynecological malignancy in the developed world. Although there is evidence of genetic predisposition to the disease, most of the genetic risk remains unexplained. We present the meta-analysis results of four genome-wide association studies (4907 cases and 11 945 controls total) in women of European ancestry. We describe one new locus reaching genome-wide significance (P < 5 × 10 -8) at 6p22.3 (rs1740828; P = 2.29 × 10 -8, OR = 1.20), providing evidence of an additional region of interest for genetic susceptibility to endometrial cancer.

Published
2016

38. PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS

Author

Southey, Melissa C, Goldgar, David E, Winqvist, Robert, Pylkäs, Katri, Couch, Fergus, Tischkowitz, Marc, Foulkes, William D, Dennis, Joe, Michailidou, Kyriaki, van Rensburg, Elizabeth J, Heikkinen, Tuomas, Nevanlinna, Heli, Hopper, John L, Dörk, Thilo, Claes, Kathleen Bm, Reis-Filho, Jorge, Teo, Zhi Ling, Radice, Paolo, Catucci, Irene, Peterlongo, Paolo, Tsimiklis, Helen, Odefrey, Fabrice A, Dowty, James G, Schmidt, Marjanka K, Broeks, Annegien, Hogervorst, Frans B, Verhoef, Senno, Carpenter, Jane, Clarke, Christine, Scott, Rodney J, Fasching, Peter A, Haeberle, Lothar, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, Dos-Santos-Silva, Isabel, Fletcher, Olivia, Johnson, Nichola, Bolla, Manjeet K, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Marme, Federik, Burwinkel, Barbara, Yang, Rongxi, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Bojesen, Stig, Nielsen, Sune F, Flyger, Henrik, Benitez, Javier, Zamora, M Pilar, Perez, Jose Ignacio Arias, Menéndez, Primitiva, Anton-Culver, Hoda, Neuhausen, Susan, Ziogas, Argyrios, Clarke, Christina A, Brenner, Hermann, Arndt, Volker, Stegmaier, Christa, Brauch, Hiltrud, Brüning, Thomas, Ko, Yon-Dschun, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Bogdanova, Natalia V, Antonenkova, Natalia N, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Spurdle, Amanda B, Investigators, kConFab, Australian Ovarian Cancer Study Group, Wauters, Els, Smeets, Dominiek, Beuselinck, Benoit, Floris, Giuseppe, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Olson, Janet E, Vachon, Celine, Pankratz, Vernon S, McLean, Catriona, Haiman, Christopher A, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Kristensen, Vessela, Alnæs, Grethe Grenaker, Zheng, Wei, Hunter, David J, Lindstrom, Sara, Hankinson, Susan E, Kraft, Peter, Andrulis, Irene, Knight, Julia A, Glendon, Gord, Mulligan, Anna Marie, Jukkola-Vuorinen, Arja, Grip, Mervi, Kauppila, Saila, Devilee, Peter, Tollenaar, Robert AEM, Seynaeve, Caroline, Hollestelle, Antoinette, Garcia-Closas, Montserrat, Figueroa, Jonine, Chanock, Stephen J, Lissowska, Jolanta, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Eccles, Diana M, Rafiq, Sajjad, Tapper, William J, Gerty, Sue M, Hooning, Maartje J, Martens, John WM, Collée, J Margriet, Tilanus-Linthorst, Madeleine, Hall, Per, Li, Jingmei, Brand, Judith S, Humphreys, Keith, Cox, Angela, Reed, Malcolm WR, Luccarini, Craig, Baynes, Caroline, Dunning, Alison M, Hamann, Ute, Torres, Diana, Ulmer, Hans Ulrich, Rüdiger, Thomas, Jakubowska, Anna, Lubinski, Jan, Jaworska, Katarzyna, Durda, Katarzyna, Slager, Susan, Toland, Amanda E, Ambrosone, Christine B, Yannoukakos, Drakoulis, Swerdlow, Anthony, Ashworth, Alan, Orr, Nick, Jones, Michael, González-Neira, Anna, Pita, Guillermo, Alonso, M Rosario, Álvarez, Nuria, Herrero, Daniel, Tessier, Daniel C, Vincent, Daniel, Bacot, Francois, Simard, Jacques, Dumont, Martine, Soucy, Penny, Eeles, Rosalind, Muir, Kenneth, Wiklund, Fredrik, Gronberg, Henrik, Schleutker, Johanna, Nordestgaard, Børge G, Weischer, Maren, Travis, Ruth C, Neal, David, Donovan, Jenny L, Hamdy, Freddie C, Khaw, Kay-Tee, Stanford, Janet L, Blot, William J, Thibodeau, Stephen, Schaid, Daniel J, Kelley, Joseph L, Maier, Christiane, Kibel, Adam S, Cybulski, Cezary, Cannon-Albright, Lisa, Butterbach, Katja, Park, Jong, Kaneva, Radka, Batra, Jyotsna, Teixeira, Manuel R, Kote-Jarai, Zsofia, Olama, Ali Amin Al, Benlloch, Sara, Renner, Stefan P, Hartmann, Arndt, Hein, Alexander, Ruebner, Matthias, Lambrechts, Diether, Van Nieuwenhuysen, Els, Vergote, Ignace, Lambretchs, Sandrina, Doherty, Jennifer A, Rossing, Mary Anne, Nickels, Stefan, Eilber, Ursula, Wang-Gohrke, Shan, Odunsi, Kunle, Sucheston-Campbell, Lara E, Friel, Grace, Lurie, Galina, Killeen, Jeffrey L, Wilkens, Lynne R, Goodman, Marc T, Runnebaum, Ingo, Hillemanns, Peter A, Pelttari, Liisa M, Butzow, Ralf, Modugno, Francesmary, Edwards, Robert P, Ness, Roberta B, Moysich, Kirsten B, du Bois, Andreas, Heitz, Florian, Harter, Philipp, Kommoss, Stefan, Karlan, Beth Y, Walsh, Christine, Lester, Jenny, Jensen, Allan, Kjaer, Susanne Krüger, Høgdall, Estrid, Peissel, Bernard, Bonanni, Bernardo, Bernard, Loris, Goode, Ellen L, Fridley, Brooke L, Vierkant, Robert A, Cunningham, Julie M, Larson, Melissa C, Fogarty, Zachary C, Kalli, Kimberly R, Liang, Dong, Lu, Karen H, Hildebrandt, Michelle AT, Wu, Xifeng, Levine, Douglas A, Dao, Fanny, Bisogna, Maria, Berchuck, Andrew, Iversen, Edwin S, Marks, Jeffrey R, Akushevich, Lucy, Cramer, Daniel W, Schildkraut, Joellen, Terry, Kathryn L, Poole, Elizabeth M, Stampfer, Meir, Tworoger, Shelley S, Bandera, Elisa V, Orlow, Irene, Olson, Sara H, Bjorge, Line, Salvesen, Helga B, van Altena, Anne M, Aben, Katja KH, Kiemeney, Lambertus A, Massuger, Leon FAG, Pejovic, Tanja, Bean, Yukie, Brooks-Wilson, Angela, Kelemen, Linda E, Cook, Linda S, Le, Nhu D, Górski, Bohdan, Gronwald, Jacek, Menkiszak, Janusz, Høgdall, Claus K, Lundvall, Lene, Nedergaard, Lotte, Engelholm, Svend Aage, Dicks, Ed, Tyrer, Jonathan, Campbell, Ian, McNeish, Iain, Paul, James, Siddiqui, Nadeem, Glasspool, Rosalind, Whittemore, Alice S, Rothstein, Joseph H, McGuire, Valerie, Sieh, Weiva, Cai, Hui, Shu, Xiao-Ou, Teten, Rachel T, Sutphen, Rebecca, McLaughlin, John R, Narod, Steven A, Phelan, Catherine M, Monteiro, Alvaro N, Fenstermacher, David, Lin, Hui-Yi, Permuth, Jennifer B, Sellers, Thomas A, Chen, Y Ann, Tsai, Ya-Yu, Chen, Zhihua, Gentry-Maharaj, Aleksandra, Gayther, Simon A, Ramus, Susan J, Menon, Usha, Wu, Anna H, Pearce, Celeste L, Van Den Berg, David, Pike, Malcolm C, Dansonka-Mieszkowska, Agnieszka, Plisiecka-Halasa, Joanna, Moes-Sosnowska, Joanna, Kupryjanczyk, Jolanta, Pharoah, Paul Dp, Song, Honglin, Winship, Ingrid, Chenevix-Trench, Georgia, Giles, Graham G, Tavtigian, Sean V, Easton, Doug F, Milne, Roger L, Clinical Genetics, Neurology, Medical Oncology, Surgery, Erasmus MC other, Clinicum, Department of Obstetrics and Gynecology, Medicum, Kristiina Aittomäki / Principal Investigator, Department of Medical and Clinical Genetics, Department of Oncology, Department of Pathology, HUS Gynecology and Obstetrics, Tischkowitz, Marc [0000-0002-7880-0628], Dennis, Joe [0000-0003-4591-1214], Dunning, Alison [0000-0001-6651-7166], Khaw, Kay-Tee [0000-0002-8802-2903], Amin Al Olama, Ali [0000-0002-7178-3431], Dicks, Ed [0000-0002-0617-0401], Tyrer, Jonathan [0000-0003-3724-4757], Pharoah, Paul [0000-0001-8494-732X], Song, Honglin [0000-0001-5076-7371], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository

Subjects
0301 basic medicine, Oncology, Male, Ataxia Telangiectasia Mutated Proteins, prostate-cancer, Prostate cancer, 0302 clinical medicine, brca1, Medizinische Fakultät, Medicine and Health Sciences, skin and connective tissue diseases, Genetics (clinical), Ovarian Neoplasms, education.field_of_study, brca2-interacting protein, Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17], 1184 Genetics, developmental biology, physiology, Nuclear Proteins, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], 3. Good health, PROSTATE-CANCER, Cancer: prostate, Multicenter Study, ovarian-cancer, Centre for Surgical Research, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], 030220 oncology & carcinogenesis, ovary [Cancer], Female, Fanconi Anemia Complementation Group N Protein, metaanalysis, Risk, medicine.medical_specialty, SUSCEPTIBILITY LOCI, Population, 3122 Cancers, cancer predisposition, Breast Neoplasms, OVARIAN-CANCER, BRCA2-INTERACTING PROTEIN, Cancer: ovary, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, prostate [Cancer], medicine, Cancer Genetics, Genetics, Journal Article, breast [Cancer], BREAST-CANCER, Humans, Genetic Predisposition to Disease, ddc:610, education, gene, CHEK2, FAMILY REGISTRY, METAANALYSIS, breast-cancer, Genetic Association Studies, business.industry, MUTATIONS, Cancer: breast, Tumor Suppressor Proteins, Case-control study, Cancer, Prostatic Neoplasms, medicine.disease, BRCA1, mutations, GENE, susceptibility loci, Checkpoint Kinase 2, 030104 developmental biology, Relative risk, Case-Control Studies, Mutation, family registry, Ovarian cancer, business
Abstract

Background: The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study.Methods: We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2c.349A>G, c.538C>T, c.715G>A, c.1036C>T, c.1312G>T, and c.1343T>G and ATM c.7271T>G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant.Results: For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1×10−5), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p=6.9×10−8) and ATM c.7271T>G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A>G OR 2.26 (95% CI 1.29 to 3.95), c.1036C>T OR 5.06 (95% CI 1.09 to 23.5) and c.538C>T OR 1.33 (95% CI 1.05 to 1.67) (p≤0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T>G OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G>T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants.Conclusions: This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.

Published
2016

39. Circulating 25-Hydroxyvitamin D and Risk of Epithelial Ovarian Cancer

Author

Zheng, Wei, Danforth, Kim N., Tworoger, Shelley S., Goodman, Marc T., Arslan, Alan A., Patel, Alpa V., McCullough, Marjorie L., Weinstein, Stephanie J., Kolonel, Laurence N., Purdue, Mark P., Shu, Xiao-Ou, Snyder, Kirk, Steplowski, Emily, Visvanathan, Kala, Yu, Kai, Zeleniuch-Jacquotte, Anne, Gao, Yu-Tang, Hankinson, Susan E., Harvey, Chinonye, Hayes, Richard B., Henderson, Brian E., Horst, Ronald L., and Helzlsouer, Kathy J.

Subjects
Adult, Ovarian Neoplasms, China, Original Contributions, case-control studies, vitamin D, Overweight, Vitamin D Deficiency, prospective studies, United States, Cohort Studies, Logistic Models, Risk Factors, Humans, Female, Finland
Abstract

A role for vitamin D in ovarian cancer etiology is supported by ecologic studies of sunlight exposure, experimental mechanism studies, and some studies of dietary vitamin D intake and genetic polymorphisms in the vitamin D receptor. However, few studies have examined the association of circulating 25-hydroxyvitamin D (25(OH)D), an integrated measure of vitamin D status, with ovarian cancer risk. A nested case-control study was conducted among 7 prospective studies to evaluate the circulating 25(OH)D concentration in relation to epithelial ovarian cancer risk. Logistic regression models were used to estimate odds ratios and 95% confidence intervals among 516 cases and 770 matched controls. Compared with 25(OH)D concentrations of 50-75 nmol/L, no statistically significant associations were observed for37.5 (odds ratio (OR) = 1.21, 95% confidence interval (CI): 0.87, 1.70), 37.5-50 (OR = 1.03, 95% CI: 0.75, 1.41), oror =75 (OR = 1.11, 95% CI: 0.79, 1.55) nmol/L. Analyses stratified by tumor subtype, age, body mass index, and other variables were generally null but suggested an inverse association between 25(OH)D and ovarian cancer risk among women with a body mass index ofor =25 kg/m(2) (P(interaction)0.01). In conclusion, this large pooled analysis did not support an overall association between circulating 25(OH)D and ovarian cancer risk, except possibly among overweight women.

Published
2010

40. Correlates of Circulating 25-Hydroxyvitamin D

Author

McCullough, Marjorie L., Weinstein, Stephanie J., Freedman, D. Michal, Helzlsouer, Kathy, Flanders, W. Dana, Koenig, Karen, Kolonel, Laurence, Laden, Francine, Le Marchand, Loic, Purdue, Mark, Snyder, Kirk, Stevens, Victoria L., Stolzenberg-Solomon, Rachael, Virtamo, Jarmo, Yang, Gong, Yu, Kai, Zheng, Wei, Albanes, Demetrius, Ashby, Jason, Bertrand, Kimberly, Cai, Hui, Chen, Yu, Gallicchio, Lisa, Giovannucci, Edward, Jacobs, Eric J., Hankinson, Susan E., Hartge, Patricia, Hartmuller, Virginia, Harvey, Chinonye, Hayes, Richard B., Horst, Ronald L., and Shu, Xiao-Ou

Subjects
Adult, Male, China, Esophageal Neoplasms, Original Contributions, body mass index, vitamin D, ethnic groups, dietary supplements, Cohort Studies, Risk Factors, Stomach Neoplasms, Neoplasms, Humans, Prospective Studies, Finland, Ovarian Neoplasms, Analysis of Variance, seasons, exercise, Lymphoma, Non-Hodgkin, Vitamin D Deficiency, Kidney Neoplasms, United States, Endometrial Neoplasms, Pancreatic Neoplasms, Logistic Models, Case-Control Studies, Female, diet
Abstract

Low vitamin D status is common globally and is associated with multiple disease outcomes. Understanding the correlates of vitamin D status will help guide clinical practice, research, and interpretation of studies. Correlates of circulating 25-hydroxyvitamin D (25(OH)D) concentrations measured in a single laboratory were examined in 4,723 cancer-free men and women from 10 cohorts participating in the Cohort Consortium Vitamin D Pooling Project of Rarer Cancers, which covers a worldwide geographic area. Demographic and lifestyle characteristics were examined in relation to 25(OH)D using stepwise linear regression and polytomous logistic regression. The prevalence of 25(OH)D concentrations less than 25 nmol/L ranged from 3% to 36% across cohorts, and the prevalence of 25(OH)D concentrations less than 50 nmol/L ranged from 29% to 82%. Seasonal differences in circulating 25(OH)D were most marked among whites from northern latitudes. Statistically significant positive correlates of 25(OH)D included male sex, summer blood draw, vigorous physical activity, vitamin D intake, fish intake, multivitamin use, and calcium supplement use. Significant inverse correlates were body mass index, winter and spring blood draw, history of diabetes, sedentary behavior, smoking, and black race/ethnicity. Correlates varied somewhat within season, race/ethnicity, and sex. These findings help identify persons at risk for low vitamin D status for both clinical and research purposes.

Published
2010

41. Alcohol consumption and risk of breast cancer by molecular subtype: prospective analysis of the Nurses’ Health Study after 26 years of follow-up

Author

Hirko, Kelly A., Chen, Wendy Y., Willett, Walter C., Rosner, Bernard A., Hankinson, Susan E., Beck, Andrew H., Tamimi, Rulla M., and Eliassen, A. Heather

Subjects
Adult, Risk, Alcohol Drinking, Receptor, ErbB-2, Nurses, Breast Neoplasms, Middle Aged, Article, Cohort Studies, Humans, Female, Prospective Studies, skin and connective tissue diseases, Follow-Up Studies, Proportional Hazards Models
Abstract

Alcohol consumption is a consistent risk factor for breast cancer, although it is unclear whether the association varies by breast cancer molecular subtype. We investigated associations between cumulative average alcohol intake and risk of breast cancer by molecular subtype among 105,972 women in the prospective Nurses’ Health Study (NHS) cohort, followed from 1980 to 2006. Breast cancer molecular subtypes were defined according to estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor 2 (HER2), cytokeratin 5/6 (CK5/6) and epidermal growth factor (EGFR) status from immunostained tumor microarrays in combination with histologic grade. Multivariable Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI). Competing risk analyses were used to assess heterogeneity by subtype. We observed suggestive heterogeneity in associations between alcohol and breast cancer by subtype (phet =0.06). Alcohol consumers had an increased risk of luminal A breast cancers (n=1,628 cases, per 10g/day increment HR (95%CI) =1.10(1.05–1.15)), and an increased risk that was suggestively stronger for HER2-type breast cancer (n=160 cases, HR (95%CI) =1.16(1.02–1.33)). We did not observe statistically significant associations between alcohol and risk of luminal B (n=631 cases, HR (95%CI) =1.08(0.99–1.16)), basal-like (n=254 cases, HR (95%CI) =0.90(0.77–1.04)), or unclassified (n=87 cases, HR (95%CI) =0.90(0.71–1.14)) breast cancer. Alcohol consumption was associated with increased risk of luminal A and HER2-type breast cancer, but not significantly associated with other subtypes. Given that estrogen receptors are expressed in luminal A but not in HER2-type tumors, our findings suggest that other mechanisms may play a role in the association between alcohol and breast cancer.

Published
2015

42. A prospective study of leisure-time physical activity and risk of incident epithelial ovarian cancer: impact by menopausal status

Author

Huang, Tianyi, Eliassen, A. Heather, Hankinson, Susan E., Okereke, Olivia I., Kubzansky, Laura D., Wang, Molin, Poole, Elizabeth M., Chavarro, Jorge E., and Tworoger, Shelley S.

Subjects
Adult, Ovarian Neoplasms, Incidence, Carcinoma, Ovarian Epithelial, Middle Aged, Motor Activity, Article, Postmenopause, Premenopause, Risk Factors, Humans, Female, Neoplasms, Glandular and Epithelial, Prospective Studies, Proportional Hazards Models
Abstract

Despite multiple hypotheses for a protective effect, epidemiologic findings are inconsistent regarding the association between physical activity and risk of ovarian cancer. Considering physical activity assessment at different times of life, including pre- and postmenopause, may be important for explaining these discrepancies. Therefore, we examined the risk of ovarian cancer according to total, premenopausal and postmenopausal physical activity among 85,462 women from the Nurses’ Health Study and 112,679 women from the Nurses’ Health Study II. Leisure-time physical activity was prospectively assessed about every 2–4 years using validated questionnaires, and characterized as metabolic equivalent task hours per week (MET-hrs/week), which combines exercise duration and intensity. Multivariable Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for these associations. We identified 815 incident epithelial ovarian cancer cases during 24 years of follow-up. A modestly increased ovarian cancer risk was observed for high levels of total cumulative average physical activity and a suggestively increased risk for low activity. Compared with 3–9 MET-hrs/week, HRs (95% CIs) were 1.26 (1.02, 1.55) for ≥27 MET-hrs/week (equivalent to 1 hr/day of brisk walking) and 1.19 (0.94, 1.52) for

Published
2015

43. A prospective study of body size throughout the life-course and the incidence of endometrial cancer among pre- and post-menopausal women

Author

Dougan, Marcelle M., Hankinson, Susan E., De Vivo, Immaculata, Tworoger, Shelley S., Glynn, Robert J., and Michels, Karin B.

Subjects
Adult, Adolescent, Incidence, Age Factors, Nurses, Middle Aged, Article, Body Mass Index, Endometrial Neoplasms, Postmenopause, Young Adult, Premenopause, Risk Factors, Child, Preschool, Body Size, Humans, Female, Prospective Studies, Menopause, Child, Adiposity
Abstract

Although adult obesity is known to increase endometrial cancer risk, evidence for childhood obesity is limited. We prospectively examined the association between body fatness throughout life and endometrial cancer risk. 47,289 participants in the Nurses' Health Study (NHS) and 105,386 of the Nurses' Health Study II (NHS II) recalled their body fatness at ages 5, 10 and 20 using a pictogram. Childhood and adolescent body fatness were derived as the average at ages 5 and 10 and ages 10 and 20, respectively. We obtained adult weight from concurrent questionnaires. We calculated hazard ratios (HR) of endometrial cancer using Cox proportional hazards models. During follow-up, 757 incident cases of endometrial cancer were diagnosed. Body fatness in childhood, at age 10, in adolescence and at age 20 were positively associated with endometrial cancer risk (HR for ≥ Level 5 versus ≤ Level 2 in adolescence: 1.83 (95% CI 1.41-2.37). After adjusting for most recent BMI, none of the associations persisted. Weight change since age 18 was positively associated with endometrial cancer risk [HR for ≥ 25 kg gain versus stable: 2.54 (95% CI 1.80-3.59). Adult BMI was strongly associated with endometrial cancer risk [HR BMI ≥ 35 kg/m(2) versus BMI ≤ 25 kg/m(2) : 4.13 (95% CI 3.29-5.16)]. In postmenopausal women, the association with BMI was significantly stronger among non-users of hormone therapy. In conclusion, obesity throughout life is positively associated with endometrial cancer risk, with adult obesity one of the strongest risk factors. Maintaining a healthy weight throughout life remains important.

Published
2015

44. Common germline polymorphisms associated with breast cancer-specific survival

Author

Pirie, Ailith, Guo, Qi, Kraft, Peter, Canisius, Sander, Eccles, Diana M, Rahman, Nazneen, Nevanlinna, Heli, Chen, Constance, Khan, Sofia, Tyrer, Jonathan, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Lush, Michael, Dunning, Alison M, Shah, Mitul, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Lambrechts, Dieter, Weltens, Caroline, Leunen, Karin, van Ongeval, Chantal, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Blomqvist, Carl, Aittomäki, Kristiina, Fagerholm, Rainer, Muranen, Taru A, Olsen, Janet E, Hallberg, Emily, Vachon, Celine, Knight, Julia A, Glendon, Gord, Mulligan, Anna Marie, Broeks, Annegien, Cornelissen, Sten, Haiman, Christopher A, Henderson, Brian E, Schumacher, Frederick, Le Marchand, Loic, Hopper, John L, Tsimiklis, Helen, Apicella, Carmel, Southey, Melissa C, Cross, Simon S, Reed, Malcolm Wr, Giles, Graham G, Milne, Roger L, McLean, Catriona, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Hooning, Maartje J, Hollestelle, Antoinette, Martens, John Wm, van den Ouweland, Ans Mw, Marme, Federick, Schneeweiss, Andreas, Yang, Rongxi, Burwinkel, Barbara, Figueroa, Jonine, Chanock, Stephen J, Lissowska, Jolanta, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Brenner, Hermann, Butterbach, Katja, Holleczek, Bernd, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Li, Jingmei, Brand, Judith S, Humphreys, Keith, Devilee, Peter, Tollenaar, Robert Aem, Seynaeve, Caroline, Radice, Paolo, Peterlongo, Paolo, Manoukian, Siranoush, Ficarazzi, Filomena, Beckmann, Matthias W, Hein, Alexander, Ekici, Arif B, Balleine, Rosemary, Phillips, Kelly-Anne, kConFab Investigators, Benitez, Javier, Zamora, M Pilar, Perez, Jose Ignacio Arias, Menéndez, Primitiva, Jakubowska, Anna, Lubinski, Jan, Gronwald, Jacek, Durda, Katarzyna, Hamann, Ute, Kabisch, Maria, Ulmer, Hans Ulrich, Rüdiger, Thomas, Margolin, Sara, Kristensen, Vessela, Nord, Siljie, NBCS Investigators, Evans, D Gareth, Abraham, Jean, Earl, Helena, Poole, Christopher J, Hiller, Louise, Dunn, Janet A, Bowden, Sarah, Yang, Rose, Campa, Daniele, Diver, W Ryan, Gapstur, Susan M, Gaudet, Mia M, Hankinson, Susan, Hoover, Robert N, Hüsing, Anika, Kaaks, Rudolf, Machiela, Mitchell J, Willett, Walter, Barrdahl, Myrto, Canzian, Federico, Chin, Suet-Feung, Caldas, Carlos, Hunter, David J, Lindstrom, Sara, Garcia-Closas, Montserrat, Couch, Fergus J, Chenevix-Trench, Georgia, Mannermaa, Arto, Andrulis, Irene L, Hall, Per, Chang-Claude, Jenny, Easton, Douglas F, Bojesen, Stig E, Cox, Angela, Fasching, Peter A, Pharoah, Paul Dp, Schmidt, Marjanka K, Tyrer, Jonathan [0000-0003-3724-4757], Wang, Jean [0000-0002-9139-0627], Dennis, Joe [0000-0003-4591-1214], Dunning, Alison [0000-0001-6651-7166], Abraham, Jean [0000-0003-0688-4807], Earl, Helena [0000-0003-1549-8094], Chin, Suet-Feung [0000-0001-5697-1082], Caldas, Carlos [0000-0003-3547-1489], Easton, Douglas [0000-0003-2444-3247], Pharoah, Paul [0000-0001-8494-732X], Apollo - University of Cambridge Repository, Obstetrics & Gynecology, Clinical Genetics, and Medical Oncology

Subjects
PROGNOSIS, SINGLE-NUCLEOTIDE POLYMORPHISMS, GENOME-WIDE ASSOCIATION, THAN-T POLYMORPHISM, GENETIC POLYMORPHISMS, ADJUVANT THERAPY, RISK, OUTCOMES, VARIANTS, GENOTYPE, Breast Neoplasms, Polymorphism, Single Nucleotide, RC0254, SDG 3 - Good Health and Well-being, Medizinische Fakultät, Humans, Genetic Predisposition to Disease, ddc:610, skin and connective tissue diseases, Genetic Association Studies, Medicine(all), Prognosis, Germ Cells, Female, Genome-Wide Association Study, Research Article
Abstract

Introduction Previous studies have identified common germline variants nominally associated with breast cancer survival. These associations have not been widely replicated in further studies. The purpose of this study was to evaluate the association of previously reported SNPs with breast cancer-specific survival using data from a pooled analysis of eight breast cancer survival genome-wide association studies (GWAS) from the Breast Cancer Association Consortium. Methods A literature review was conducted of all previously published associations between common germline variants and three survival outcomes: breast cancer-specific survival, overall survival and disease-free survival. All associations that reached the nominal significance level of P value

Published
2015

45. Genetic studies of body mass index yield new insights for obesity biology

Author

Locke, Adam E, Kahali, Bratati, Croteau-Chonka, Damien C, Doney, Alex S F, He, Bing, Heikkilä, Outi, Hietala, Kustaa, Kytö, Janne, Lahermo, Päivi, Lehto, Markku, Österholm, Anne-May, Parkkonen, Maija, Pitkäniemi, Janne, Rosengård-Bärlund, Milla, Eklund, Niina, Saraheimo, Markku, Sarti, Cinzia, Söderlund, Jenny, Soro-Paavonen, Aino, Syreeni, Anna, Thorn, Lena M, Tikkanen, Heikki, Tolonen, Nina, Tryggvason, Karl, Tuomilehto, Jaakko, Estrada, Karol, Wadén, Johan, Gill, Geoffrey V, Prior, Sarah, Guiducci, Candace, Mirel, Daniel B, Taylor, Andrew, Hosseini, Mohsen, Parving, Hans-Henrik, Rossing, Peter, Tarnow, Lise, Eury, Elodie, Ladenvall, Claes, Alhenc-Gelas, François, Lefebvre, Pierre, Rigalleau, Vincent, Roussel, Ronan, Tregouet, David-Alexandre, Maestroni, Anna, Maestroni, Silvia, Falhammar, Henrik, Gu, Tianwei, Folkersen, Lasse, Möllsten, Anna, Cimponeriu, Dan, Mihai, Ioana, Mota, Maria, Mota, Eugen, Serafinceanu, Cristian, Stavarachi, Monica, Hanson, Robert L, Nelson, Robert G, Kretzler, Matthias, Fraser, Ross M, Colhoun, Helen M, Panduru, Nicolae Mircea, Gu, Harvest F, Brismar, Kerstin, Zerbini, Gianpaolo, Hadjadj, Samy, Marre, Michel, Groop, Leif, Lajer, Maria, Bull, Shelley B, Garcia, Melissa E, Waggott, Daryl, Paterson, Andrew D, Savage, David A, Bain, Stephen C, Martin, Finian, Hirschhorn, Joel N, Godson, Catherine, Florez, Jose C, Groop, Per-Henrik, Maxwell, Alexander P, Geller, Frank, Willer, Cristen J, Schmidt, Ellen M, Sengupta, Sebanti, Peloso, Gina M, Gustafsson, Stefan, Kanoni, Stavroula, Ganna, Andrea, Chen, Jin, Buchkovich, Martin L, Mora, Samia, Giedraitis, Vilmantas, Beckmann, Jacques S, Bragg-Gresham, Jennifer L, Chang, Hsing-Y, Demirkan, Ayşe, Den Hertog, Heleen M, Do, Ron, Donnelly, Louise A, Ehret, Georg B, Esko, Tõnu, Feitosa, Mary F, Gigante, Bruna, Ferreira, Teresa, Fischer, Krista, Fontanillas, Pierre, Freitag, Daniel F, Gurdasani, Deepti, Heikkilä, Kauko, Hyppönen, Elina, Isaacs, Aaron, Jackson, Anne U, Esko, Tonu, Go, Alan S, 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Ebrahim, S., Eriksson, JG., Fauser, BC., Ferreli, L., Folsom, AR., Garcia, ME., Hall, P., Haller, T., Hankinson, SE., Hass, M., Heath, AC., Janssens, AC., Karasik, D., Keyzer, J., Kiel, DP., Lahti, J., Lai, S., Laisk, T., Laven, JS., Liu, J., Lopez, LM., Louwers, YV., Marongiu, M., Klaric, IM., Masciullo, C., McKnight, B., Medland, SE., Melzer, D., Newman, AB., Paré, G., Peeters, PH., Plump, AS., Pop, VJ., Räikkönen, K., Salumets, A., Smith, JA., Stacey, SN., Starr, JM., Stathopoulou, MG., Styrkarsdottir, U., Tenesa, A., Thorand, B., Tryggvadottir, L., Tsui, K., van Dam RM., van Gils CH., van Nierop, P., Vink, JM., Voorhuis, M., Wallaschofski, H., Widen, E., Wijnands-van Gent CJ., Yerges-Armstrong, LM., Zgaga, L., Zillikens, MC., Zygmunt, M., Arnold, AM., Buring, JE., Crisponi, L., Demerath, EW., Hunter, DJ., Schlessinger, D., Streeten, EA., Murray, A., Murabito, JM., Visser, JA., Lunetta, KL., Elks, CE., Cousminer, DL., Feenstra, B., Koller, DL., Lin, P., van Wingerden SW., Smith, EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Eriksson, J., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Peacock, M., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., van Meurs JB., Weedon, MN., Wichmann, H., Young, L., Bierut, LJ., Boyd, HA., Econs, MJ., Van T'Hooft, Ferdinand M., Njølstad, Inger, Abecasis, Gonçalo R., Barroso, Inɥ, The MIGEN Consortium, Investigator, Casari, GIORGIO NEVIO, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Landsteiner Laboratory, Clinical Haematology, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Locke, A, Kahali, B, Berndt, S, Justice, A, Pers, T, Day, F, Powell, C, Vedantam, S, Buchkovich, M, Yang, J, Croteau-Chonka, D, Esko, T, Fall, T, Ferreira, T, Gustafsson, S, Kutalik, Z, Luan, J, Magi, R, Randall, J, Winkler, T, Wood, A, Workalemahu, T, Faul, J, Smith, J, Zhao, J, Zhao, W, Chen, J, Fehrmann, R, Hedman, A, Karjalainen, J, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bolton, J, Bragg-Gresham, J, Buyske, S, Demirkan, A, Deng, G, Ehret, G, Feenstra, B, Feitosa, M, Fischer, K, Goel, A, Gong, J, Jackson, A, Kanoni, S, Kleber, M, Kristiansson, K, Lim, U, Lotay, V, Mangino, M, Leach, I, Medina-Gomez, C, Medland, S, Nalls, M, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Shungin, D, Stancakova, A, Strawbridge, R, Sung, Y, Tanaka, T, Teumer, A, Trompet, S, van der Laan, S, van Setten, J, Van Vliet-Ostaptchouk, J, Wang, Z, Yengo, L, Zhang, W, Isaacs, A, Albrecht, E, Arnlov, J, Arscott, G, Attwood, A, Bandinelli, S, Barrett, A, Bas, I, Bellis, C, Bennett, A, Berne, C, Blagieva, R, Bluher, M, Bohringer, S, Bonnycastle, L, Bottcher, Y, Boyd, H, Bruinenberg, M, Caspersen, I, Chen, Y, Clarke, R, Daw, E, de Craen, A, Delgado, G, Dimitriou, M, Doney, A, Eklund, N, Estrada, K, Eury, E, Folkersen, L, Fraser, R, Garcia, M, Geller, F, Giedraitis, V, Gigante, B, Go, A, Golay, A, Goodall, A, Gordon, S, Gorski, M, Grabe, H, Grallert, H, Grammer, T, Grassler, J, Gronberg, H, Groves, C, Gusto, G, Haessler, J, Hall, P, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heard-Costa, N, Helmer, Q, Hengstenberg, C, Holmen, O, Hottenga, J, James, A, Jeff, J, Johansson, A, Jolley, J, Juliusdottir, T, Kinnunen, L, Koenig, W, Koskenvuo, M, Kratzer, W, Laitinen, J, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindstrom, J, Lo, K, Lobbens, S, Lorbeer, R, Lu, Y, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Mclachlan, S, Menni, C, Merger, S, Mihailov, E, Milani, L, Moayyeri, A, Monda, K, Morken, M, Mulas, A, Muller, G, Muller-Nurasyid, M, Musk, A, Nagaraja, R, Nothen, M, Nolte, I, Pilz, S, Rayner, N, Renstrom, F, Rettig, R, Ried, J, Ripke, S, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, F, Scott, W, Seufferlein, T, Shi, J, Smith, A, Smolonska, J, Stanton, A, Steinthorsdottir, V, Stirrups, K, Stringham, H, Sundstrom, J, Swertz, M, Swift, A, Syvanen, A, Tan, S, Tayo, B, Thorand, B, Thorleifsson, G, Tyrer, J, Uh, H, Vandenput, L, Verhulst, F, Vermeulen, S, Verweij, N, Vonk, J, Waite, L, Warren, H, Waterworth, D, Weedon, M, Wilkens, L, Willenborg, C, Wilsgaard, T, Wojczynski, M, Wong, A, Wright, A, Zhang, Q, Brennan, E, Choi, M, Dastani, Z, Drong, A, Eriksson, P, Franco-Cereceda, A, Gadin, J, Gharavi, A, Goddard, M, Handsaker, R, Huang, J, Karpe, F, Kathiresan, S, Keildson, S, Kiryluk, K, Kubo, M, Lee, J, Liang, L, Lifton, R, Ma, B, Mccarroll, S, Mcknight, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Okada, Y, Perry, J, Dorajoo, R, Reinmaa, E, Salem, R, Sandholm, N, Scott, R, Stolk, L, Takahashi, A, Van't Hooft, F, Vinkhuyzen, A, Westra, H, Zheng, W, Zondervan, K, Heath, A, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Bovet, P, Campbell, H, Caulfield, M, Cesana, G, Chakravarti, A, Chasman, D, Chines, P, Collins, F, Crawford, D, Cupples, L, Cusi, D, Danesh, J, de Faire, U, Den Ruijter, H, Dominiczak, A, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Felix, S, Ferrannini, E, Ferrieres, J, Ford, I, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gejman, P, Gieger, C, Gottesman, O, Gudnason, V, Gyllensten, U, Hall, A, 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Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Melzer, D, Newman, A, Pare, G, Peeters, P, Pop, V, Raikkonen, K, Salumets, A, Stacey, S, Starr, J, Stathopoulou, M, Styrkarsdottir, U, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Widen, E, Wijnands-Van Gent, C, Yerges-Armstrong, L, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Streeten, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Koller, D, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Couper, D, Easton, D, Foroud, T, Kilpelainen, T, Li, S, Murray, S, Ness, A, Northstone, K, Peacock, M, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segre, A, Sovio, U, Srinivasan, S, Tammesoo, M, van Meurs, J, Young, L, Bierut, L, Econs, M, The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GLGC, The ICBP, The MAGIC Investigators, The MuTHER Consortium, The MIGen Consortium, The PAGE Consortium, The ReproGen Consortium, The GENIE Consortium, The International Endogene Consortium, Berndt, Sonja I, Justice, Anne E, Hyppönen, Elina Tuulikki, Epidemiology and Data Science, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes

Subjects
Male, LOCI, Genome-wide association study, Continental Population Groups/genetics, VARIANTS, Body Mass Index, Insulin Secretion, Insulin, Age Factor, Adiposity, ddc:616, Adipogenesis, Genetic Predisposition to Disease/genetics, Synapse, 3. Good health, Continental Population Group, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], GENOME-WIDE ASSOCIATIONPROVIDES INSIGHTSGLYCEMIC TRAITSLOCIMETAANALYSISVARIANTSINDIVIDUALSHIPPOCAMPALARCHITECTURETOPIRAMATE, ddc:500, Adipogenesis/genetics, Single Nucleotide/genetics, Age Factors, Continental Population Groups, Energy Metabolism, Europe, Female, Genetic Predisposition to Disease, Glutamic Acid, Humans, Obesity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Synapses, Genome-Wide Association Study, Multidisciplinary, genetics [Adiposity], Human, Socio-culturale, genetics [Energy Metabolism], ta3111, genetic, body mass index, obesity, SDG 3 - Good Health and Well-being, GLYCEMIC TRAITS, genetics [Continental Population Groups], Genetic variability, Polymorphism, GENOME-WIDE ASSOCIATION, genetics [Adipogenesis], METAANALYSIS, Genetic association, Adipogenesi, genetics [Quantitative Trait Loci], ta1184, metabolism [Glutamic Acid], ta1182, PATHWAYS, metabolism [Synapses], ta3121, medicine.disease, metabolism [Insulin], Adiposity/genetics, Clinical Medicine, Quantitative Trait Loci/genetics, Body mass index, HUMAN HEIGHT, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Synapses/metabolism, Medizin, Obesity/genetics, Bioinformatics, genetic basis, Obesity/metabolism, genetics [Obesity], body mass index (BMI), genetics [Genetic Predisposition to Disease], ethnology [Europe], 2. Zero hunger, Genetics, ARCHITECTURE, Genetics of obesity, Medicine (all), Single Nucleotide, Polymorphism, Single Nucleotide/genetics, Insulin/metabolism/secretion, Glutamic Acid/metabolism, genetics [Polymorphism, Single Nucleotide], EXPRESSION, Insulin/metabolism, PROVIDES INSIGHTS, genetics [Racial Groups], Biology, Obesity/genetics/metabolism, Europe/ethnology, metabolism [Obesity], Mendelian randomization, medicine, Energy Metabolism/genetics, body mass, genetic analysis, obesity, Klinisk medicin
Abstract

Item does not contain fulltext Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 x 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for approximately 2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.

Published
2015

46. New genetic loci link adipose and insulin biology to body fat distribution

Author

Shungin, Dmitry, Winkler, Thomas W, Workalemahu, Tsegaselassie, Hartman, Catharina A, Duncan, Emma L, Ntzani, Evangelia E, Oei, Ling, Albagha, Omar M E, Amin, Najaf, Kemp, John P, Koller, Daniel L, Li, Guo, Liu, Ching-Ti, Minster, Ryan L, Hassinen, Maija, Moayyeri, Alireza, Vandenput, Liesbeth, Willner, Dana, Xiao, Su-Mei, Yerges-Armstrong, Laura M, Zheng, Hou-Feng, Alonso, Nerea, Eriksson, Joel, Kammerer, Candace M, Kaptoge, Stephen K, Hayward, Caroline, Leo, Paul J, Thorleifsson, Gudmar, Wilson, Scott G, Wilson, James F, Aalto, Ville, Alen, Markku, Aragaki, Aaron K, Aspelund, Thor, Center, Jacqueline R, Dailiana, Zoe, Heikkilä, Kauko, Duggan, David J, Garcia, Melissa, Garcia-Giralt, Natàlia, Giroux, Sylvie, Hallmans, Göran, Hocking, Lynne J, Husted, Lise Bjerre, Jameson, Karen A, Khusainova, Rita, Kim, Ghi Su, Herzig, Karl-Heinz, Kooperberg, Charles, Koromila, Theodora, Kruk, Marcin, Laaksonen, Marika, Lacroix, Andrea Z, Lee, Seung Hun, Leung, Ping C, Lewis, Joshua R, Masi, Laura, Mencej-Bedrac, Simona, Helmer, Quinta, Nguyen, Tuan V, Nogues, Xavier, Patel, Millan S, Prezelj, Janez, Rose, Lynda M, Scollen, Serena, Siggeirsdottir, Kristin, Smith, Albert V, Svensson, Olle, Trompet, Stella, Hillege, Hans L, Trummer, Olivia, van Schoor, Natasja M, Woo, Jean, Zhu, Kun, Balcells, Susana, Brandi, Maria Luisa, Buckley, Brendan M, Cheng, Sulin, Christiansen, Claus, Cooper, Cyrus, Holmen, Oddgeir, Dedoussis, George, Ford, Ian, Frost, Morten, Goltzman, David, González-Macías, Jesús, Kähönen, Mika, Karlsson, Magnus, Khusnutdinova, Elza, Koh, Jung-Min, Kollia, Panagoula, Hunt, Steven C, Langdahl, Bente Lomholt, Leslie, William D, Lips, Paul, Ljunggren, Östen, Lorenc, Roman S, Marc, Janja, Mellström, Dan, Obermayer-Pietsch, Barbara, Olmos, José M, Pettersson-Kymmer, Ulrika, Isaacs, Aaron, Reid, David M, Riancho, José A, Ridker, Paul M, Rousseau, François, Slagboom, P Eline, Tang, Nelson L S, Urreizti, Roser, Van Hul, Wim, Viikari, Jorma, Zarrabeitia, María T, Wu, Joseph M W, 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Zgaga, L., Zygmunt, M., Arnold, AM., Buring, JE., Crisponi, L., Demerath, EW., Hunter, DJ., Schlessinger, D., Murray, A., Murabito, JM., Visser, JA., Lunetta, KL., Elks, CE., Cousminer, DL., Feenstra, B., Lin, P., van Wingerden SW., Smith, EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., Weedon, MN., Wichmann, H., Young, L., Zhuang, WV., Bierut, LJ., Boyd, HA., Department of Clinical Sciences, Lund University [Lund], Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Odontology, Umeå University, Signalisation et Transports Ioniques Membranaires (STIM), Université de Poitiers-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Medical Sciences, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, Limnology, Ecology, Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Institute of Medical Informatics, Biometry and Epidemiology, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Space Sciences Laboratory [Berkeley] (SSL), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, King‘s College London, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Department of Pharmacy Sciences, Creighton University Medical Center, Medical Department III, Universität Leipzig, Foie, métabolismes et cancer, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Epidemiology, Erasmus Medical Centre, Netherlands Genomics Initiative (NGI), Netherlands Genomics Initiative, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Department of Public Health and Clinical Medicine, Medstar Research Institute, Genetics and Pathology, Finnish Institute of Occupational Health, Epidemiology, University Medical Centre Groningen, Departments of Microbiology & Molecular Genetics and Molecular Biology & Biochemistry, University of California [Irvine] (UC Irvine), Department of Odontology, Cariology, Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Division of Cardiology, Geneva University Hospital (HUG), Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Anaesthesia and Intensive care, Royal Aberdeen Childrens Hospital, UCL Institute of neurology, UCL Institute of Neurology, Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University Hospital, Department of Genetics, University of Groningen [Groningen], deCODE Genetics, deCODE genetics [Reykjavik], Pediatric Pulmonology, Allergology & Epidemiology, University of Groningen [Groningen]-University Medical Center Groningen [Groningen] (UMCG)-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Department of Nutrition-Dietetics, Harokopio University of Athens, Yale School of Medicine [New Haven, Connecticut] (YSM), National Heart and Lung Institute (NHLI), Imperial College London, Queensland Institute of Medical Research, Concord Hospital, Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Dept. Atherosclerose, Kidney Center, University Medical Center Groningen [Groningen] (UMCG), Department of Public Health & Primary Care, University of Cambridge [UK] (CAM), Department of cardiology, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford, Department of Internal Medicine, University of Pisa - Università di Pisa, MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Health Sciences Research Institute, Warwick, Department of Nephrology, University Medical Center, University of Groningen, Institute of Genetic Epidemiology, Icelandic Heart Association, Heart Preventive Clinic and Research Institute, University of Iceland [Reykjavik], Executive Board, Polycystic Kidney Disease Charity (PKD Charity)-Ciliopathy Alliance-International Alliance, Department of Zoology, University of Otago [Dunedin, Nouvelle-Zélande], Institute for Community Medicine, Department Epidemiology of Health Care and Community Health, Universität Greifswald - University of Greifswald, Interfaculty Institute for Genetics and Functional Genomics, 5 University Street, Centre for Paediatric Epidemiology and Biostatistics, University College of London [London] (UCL), MRC Centre for Epidemiology of Child Health, UCL Institute of Child Health, Unit for Molecular Epidemiology, Institute of Health Sciences and Biocenter Oulu, University of Oulu, Department of Epidemiology and Biostatistics, Department of Life Course and Services, National Institute for Health and Welfare [Helsinki], Department of Epidemiology and Public Health, Queen's University [Belfast] (QUB), Interdisciplinary Center of Clinical Research, Department of Physiology, University of Eastern Finland-Institute of Biomedicine, University of Hawai‘i [Mānoa] (UHM), Department of Clinical Chemistry, University of Tampere [Finland]-Tampere University Hospital, Chronic Disease Epidemiology and Prevention Unit, Université Laval [Québec] (ULaval), Centre for Bone and Arthritis Research, University of Gothenburg (GU)-Institute of Medicine, Interdisciplinary Center for Psychiatric Epidemiology, Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, The Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Department of Clinical Physiology, Turku University Hospital (TYKS), Brigham and Women's Hospital [Boston], Department of Chronic Disease Prevention, Department of Cardiovascular Sciences [Leicester], University of Leicester, Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Maastricht University [Maastricht], Institute of Social and Preventive Medicine, Lausanne University Hospital, Carl Gustav Carus University Hospital, Recherches en Psychopathologie, nouveaux symptômes et lien social (EA 4050), Université de Poitiers-Université de Brest (UBO)-Université Catholique de l'Ouest (UCO)-Université de Rennes 2 (UR2), Institut de biologie de Lille - UMS 3702 (IBL), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), HELIOS Klinikum Stralsund Hanseatic-Greifswald University Hospital, Department of child and adolescent psychiatry, Institute for Medical Informatics, Biometry, and Epidemiology, MRC National Survey of Health and Development, MRC Unit for Lifelong Health and Ageing, Clinical Institute of Medical and Chemical Laboratory Diagnostics, Karl-Franzens-Universität Graz, Peter MacCallum Cancer Center, Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Institute of Public Health and Clinical Nutrition, University of Eastern Finland, MRC epidemiology Unit, Institute of Epidemiology, Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Oncology, Queensland Brain Institute, University of Queensland [Brisbane], Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, Massachusetts General Hospital [Boston], Divisions of Genetics and Endocrinology and Program in Genomics, Boston Children's Hospital, Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Metabolic Disease Group, University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Epidemiology Unit, Addenbrooke's Hospital-Medical Research Council (MRC), Framingham Heart Study, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Landsteiner Laboratory, Clinical Haematology, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Lund University Diabetes Centre-Lund University [Lund], Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Technical University of Denmark [Lyngby] (DTU), Université de Lausanne (UNIL), Universität Duisburg-Essen [Essen], Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), University of California [Berkeley], University of California-University of California, Génomique Intégrative et Modélisation des Maladies Métaboliques (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Universität Leipzig [Leipzig], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of California [Irvine] (UCI), German Research Center for Environmental Health, University of Bonn, Czech Academy of Sciences [Prague] (ASCR), Yale University School of Medicine, University of Oxford [Oxford], German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Laval University, Laval University [Québec], Turku University Hospital, Lausanne university hospital, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Helmholtz-Zentrum München (HZM), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Internal Medicine, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Medical Informatics, Obstetrics & Gynecology, Lund University [Lund]-Lund University Diabetes Centre, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institute of Medicine-University of Gothenburg (GU), Signalisation et Transports Ioniques Membranaires ( STIM ), Université de Poitiers-Centre National de la Recherche Scientifique ( CNRS ), Technical University of Denmark [Lyngby] ( DTU ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Department of Medical Epidemiology and Biostatistics ( MEB ), University of Lausanne, Centre d'Immunologie de Marseille - Luminy ( CIML ), Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Erasmus MC, Space Sciences Laboratory [Berkeley] ( SSL ), Génomique Intégrative et Modélisation des Maladies Métaboliques ( EGID ), Université de Lille-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Pasteur de Lille, Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Hospitalier Régional Universitaire [Lille] ( CHRU Lille ), University of Leipzig, Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institute of Epidemiology [Neuherberg] ( EPI ), University of California [Irvine] ( UCI ), Génétique des maladies multifactorielles ( GMM ), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Geneva University Hospital ( HUG ), Bonn Universität [Bonn], Indian Institute of Technology Kanpur ( IIT Kanpur ), The University of North Carolina at Chapel Hill, Université de Bonn, Wellcome Trust Sanger Institute, Harvard University School of Public Health, Czech Academy of Sciences [Prague] ( ASCR ), deCODE genetics, University of Groningen [Groningen]-University Medical Center Groningen-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Yale School of Medicine, National Heart and Lung Institute ( NHLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé, University Medical Center Groningen, University of Cambridge [UK] ( CAM ), Wellcome Trust Centre for Human Genetics, University of Pisa [Pisa], University of Cambridge [UK] ( CAM ) -Institute of Metabolic Science, German Research Center for Environmental Health-Helmholtz-Zentrum München ( HZM ), University of Otago, University of Greifswald, University College of London [London] ( UCL ), National Institute for Health and Welfare, Queen's University [Belfast] ( QUB ), University of Hawaii at Manoa ( UHM ), University of Gothenburg ( GU ) -Institute of Medicine, Recherches en Psychopathologie, nouveaux symptômes et lien social ( EA 4050 ), Université de Poitiers-Université de Brest ( UBO ) -Université Catholique de l'Ouest-Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Institut de biologie de Lille - IBL ( IBLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Finland Institute for Molecular Medicine ( FIMM ), Georgia Prevention Institute, Netherlands Consortium for Healthy Aging, Helmholtz-Zentrum München ( HZM ), National Institutes of Health ( NIH ) -National Cancer Institute ( NIH ), Massachusetts General Hospital, Children's Hospital, Boston, Broad Institute, Cambridge, MA, The University of North Carolina at Chapel Hill-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Shungin D, Winkler TW, Adipogen, Consortium, Cardiogramplusc4d, Consortium, Ckdgen, Consortium, Gefos, Consortium, Genie, Consortium, Glgc, Icbp, International, Endogene Consortium, Lifelines, Cohort Study, Magic, Investigator, Muther, Consortium, Consortium, Page, ReproGen Consortium, Amouyel P, D'Adamo, ADAMO PIO, Gasparini, Paolo, Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Hypponen, Elina, Mohlke, Karen L, ADIPOGEN Consortium, Int Endogene Consortium, Lee Kong Chian School of Medicine (LKCMedicine), Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, Université de Tours-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, Harris, T, Hattersley, A, Heliövaara, M, Hicks, A, Hingorani, A, Hoffmann, W, Hofman, A, Homuth, G, Humphries, S, Hyppönen, E, Illig, T, Jarvelin, M, Johansen, B, Jousilahti, P, Jula, A, Kaprio, J, Kee, F, Keinanen Kiukaanniemi, S, Kooner, J, Kooperberg, C, Kovacs, P, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lyssenko, V, Männistö, S, Marette, A, Matise, T, Mckenzie, C, Mcknight, B, Musk, A, Möhlenkamp, S, Morris, A, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Palmer, L, Penninx, B, Peters, A, Pramstaller, P, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ridker, P, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Shuldiner, A, Staessen, J, Steinthorsdottir, V, Stolk, R, Strauch, K, Tönjes, A, Tremblay, A, Tremoli, E, Vohl, M, Völker, U, Vollenweider, P, Wilson, J, Witteman, J, Adair, L, Bochud, M, Boehm, B, Bornstein, S, Bouchard, C, Cauchi, S, Caulfield, M, Chambers, J, Chasman, D, Cooper, R, Dedoussis, G, Ferrucci, L, Froguel, P, Grabe, H, Hamsten, A, Hui, J, Hveem, K, Jöckel, K, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, März, W, Munroe, P, Njolstad, I, Oostra, B, Pedersen, N, Perola, M, Pe'Russe, L, Peters, U, Power, C, Quertermous, T, Rauramaa, R, Rivadeneira, F, Saaristo, T, Saleheen, D, Sinisalo, J, Slagboom, P, Snieder, H, Spector, T, Thorsteinsdottir, U, Stumvoll, M, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, Van Der Harst, P, Veronesi, G, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Abecasis, G, Assimes, T, Berndt, S, Boehnke, M, Borecki, I, Deloukas, P, Franke, L, Frayling, T, Groop, L, Hunter, D, Kaplan, R, O'Connell, J, Qi, L, Schlessinger, D, Strachan, D, Stefansson, K, Van Duijn, C, Willer, C, Visscher, P, Yang, J, Hirschhorn, J, Zillikens, M, Mccarthy, M, Speliotes, E, North, K, Fox, C, Barroso, I, Franks, P, Ingelsson, E, Heid, I, Loos, R, Cupples, L, Lindgren, C, Mohlke, K, Dastani, Z, Timpson, N, Yuan, X, Henneman, P, Kizer, J, Lyytikainen, L, Fuchsberger, C, Small, K, Coassin, S, Lohman, K, Pankow, J, Uh, H, Wu, Y, Bidulescu, A, Rasmussen Torvik, L, Greenwood, C, Ladouceur, M, Grimsby, J, Manning, A, Mooser, V, Kapur, K, Frants, R, Willemsvan vanDijk, K, Willems, S, Psaty, B, Tracy, R, Brody, J, Chen, I, Viikari, J, Kähönen, M, Evans, D, St Pourcain, B, Sattar, N, Carlson, O, Egan, J, van Heemst, D, Kedenko, L, Nuotio, M, Loo, B, Kanaya, A, Haun, M, Klopp, N, Katsareli, E, Couper, D, Duncan, B, Kloppenburg, M, Borja, J, Musani, S, Guo, X, Semple, R, Teslovich, T, Allison, M, Redline, S, Buxbaum, S, Meulenbelt, I, Ballantyne, C, Hu, F, Paulweber, B, Florez, J, Smith, G, Siscovick, D, Kronenberg, F, van Duijn, C, Waterworth, D, Meigs, J, Dupuis, J, Richards, J, Willenborg, C, Thompson, J, Erdmann, J, Goldstein, B, König, I, Cazier, J, Johansson, Å, Hall, A, Lee, J, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Lundmark, P, Lyytikäinen, L, Rafelt, S, Tikkanen, E, Van Zuydam, N, Voight, B, Ziegler, A, Altshuler, D, Balmforth, A, Braund, P, Burgdorf, C, Cox, D, Dimitriou, M, Do, R, El Mokhtari, N, Fontanillas, P, Hager, J, Han, B, Kang, H, Kessler, T, Knowles, J, Kolovou, G, Langford, C, Lokki, M, Lundmark, A, Meisinger, C, Melander, O, Maouche, S, Nikus, K, Peden, J, Rasheed, A, Rosinger, S, Rubin, D, Rumpf, M, Schäfer, A, Sivananthan, M, Stewart, A, Tan, S, Thorgeirsson, G, van der Schoot, C, Wagner, P, Wells, G, Wild, P, Yang, T, Basart, H, Boerwinkle, E, Brambilla, P, Cambien, F, Cupples, A, de Faire, U, Dehghan, A, Diemert, P, Epstein, S, Evans, A, Ferrario, M, Gauguier, D, Goodall, A, Hazen, S, Holm, H, Iribarren, C, Jang, Y, Kim, H, Laaksonen, R, Ouwehand, W, Parish, S, Park, J, Rader, D, Shah, S, Stark, K, Trégouët, D, Virtamo, J, Wallentin, L, Zimmermann, M, Nieminen, M, Hengstenberg, C, Sandhu, M, Pastinen, T, Hovingh, G, Zalloua, P, Siegbahn, A, Schreiber, S, Ripatti, S, Blankenberg, S, O'Donnell, C, Reilly, M, Collins, R, Kathiresan, S, Roberts, R, Schunkert, H, Pattaro, C, Köttgen, A, Garnaas, M, Böger, C, Chen, M, Tin, A, Taliun, D, Li, M, Gao, X, Gorski, M, Yang, Q, Hundertmark, C, Foster, M, O'Seaghdha, C, Glazer, N, Struchalin, M, Li, G, Johnson, A, Gierman, H, Hwang, S, Atkinson, E, Cornelis, M, Chouraki, V, Holliday, E, Sorice, R, Deshmukh, H, Ulivi, S, Chu, A, Murgia, F, Trompet, S, Imboden, M, Kollerits, B, Pistis, G, Launer, L, Aspelund, T, Eiriksdottir, G, Mitchell, B, Schmidt, H, Cavalieri, M, Rao, M, de Andrade, M, Turner, S, Ding, J, Andrews, J, Freedman, B, Döring, A, Kolcic, I, Zemunik, T, Boban, M, Minelli, C, Wheeler, H, Igl, W, Zaboli, G, Wild, S, Wright, A, Ellinghaus, D, Nöthlings, U, Jacobs, G, Biffar, R, Endlich, K, Ernst, F, Kroemer, H, Nauck, M, Stracke, S, Völzke, H, Aulchenko, Y, Polasek, O, Hastie, N, Vitart, V, Helmer, C, Wang, J, Ruggiero, D, Bergmann, S, Nikopensius, T, Province, M, Ketkar, S, Colhoun, H, Robino, A, Giulianini, F, Krämer, B, Portas, L, Ford, I, Buckley, B, Adam, M, Thun, G, Sala, C, Metzger, M, Mitchell, P, Ciullo, M, Kim, S, Gasparini, P, Pirastu, M, Jukema, J, Probst Hensch, N, Toniolo, D, Coresh, J, Schmidt, R, Kardia, S, Curhan, G, Gyllensten, U, Franke, A, Rettig, R, Parsa, A, Goessling, W, Kao, W, de Boer, I, Peralta, C, Akylbekova, E, Kramer, H, van der Harst, P, Arking, D, Franceschini, N, Hernandez, D, Townsend, R, Lumley, T, Kestenbaum, B, Haritunians, T, Waeber, G, Lu, X, Leak, T, Aasarød, K, Skorpen, F, Baumert, J, Devuyst, O, Mychaleckyj, J, Hallan, S, Navis, G, Shlipak, M, Bull, S, Paterson, A, Rotter, J, Beckmann, J, Dreisbach, A, Styrkarsdottir, U, Evangelou, E, Hsu, Y, Duncan, E, Ntzani, E, Oei, L, Albagha, O, Kemp, J, Koller, D, Minster, R, Vandenput, L, Willner, D, Xiao, S, Yerges Armstrong, L, Zheng, H, Alonso, N, Kammerer, C, Kaptoge, S, Leo, P, Wilson, S, Aalto, V, Alen, M, Aragaki, A, Center, J, Dailiana, Z, Duggan, D, Garcia Giralt, N, Giroux, S, Hocking, L, Husted, L, Jameson, K, Khusainova, R, Kim, G, Koromila, T, Kruk, M, Laaksonen, M, Lacroix, A, Lee, S, Leung, P, Lewis, J, Masi, L, Mencej Bedrac, S, Nguyen, T, Nogues, X, Patel, M, Prezelj, J, Scollen, S, Siggeirsdottir, K, Svensson, O, Trummer, O, van Schoor, N, Woo, J, Zhu, K, Balcells, S, Brandi, M, Cheng, S, Christiansen, C, Cooper, C, Frost, M, Goltzman, D, González Macías, J, Karlsson, M, Khusnutdinova, E, Koh, J, Kollia, P, Langdahl, B, Leslie, W, Lips, P, Ljunggren, Ö, Lorenc, R, Marc, J, Mellström, D, Obermayer Pietsch, B, Olmos, J, Pettersson Kymmer, U, Reid, D, Riancho, J, Rousseau, F, Tang, N, Urreizti, R, Van Hul, W, Zarrabeitia, M, Castano Betancourt, M, Herrera, L, Ingvarsson, T, Johannsdottir, H, Kwan, T, Li, R, Luben, R, Medina Gómez, C, Palsson, S, Reppe, S, Sigurdsson, G, van Meurs, J, Verlaan, D, Williams, F, Zhou, Y, Gautvik, K, Raychaudhuri, S, Cauley, J, Clark, G, Cummings, S, Danoy, P, Dennison, E, Eastell, R, Eisman, J, Jackson, R, Jones, G, Khaw, K, Mccloskey, E, Nandakumar, K, Peacock, M, Pols, H, Prince, R, Reid, I, Robbins, J, Sambrook, P, Sham, P, Tylavsky, F, Econs, M, Kung, A, Reeve, J, Streeten, E, Karasik, D, Ralston, S, Ioannidis, J, Kiel, D, Forsblom, C, Isakova, T, Mckay, G, Williams, W, Sadlier, D, Mäkinen, V, Swan, E, Boright, A, Ahlqvist, E, Keller, B, Huang, H, Ahola, A, Fagerholm, E, Gordin, D, Harjutsalo, V, He, B, Heikkilä, O, Hietala, K, Kytö, J, Lahermo, P, Lehto, M, Österholm, A, Parkkonen, M, Pitkäniemi, J, Rosengård Bärlund, M, Saraheimo, M, Sarti, C, Söderlund, J, Soro Paavonen, A, Syreeni, A, Thorn, L, Tikkanen, H, Tolonen, N, Tryggvason, K, Wadén, J, Gill, G, Prior, S, Guiducci, C, Mirel, D, Taylor, A, Hosseini, M, Parving, H, Rossing, P, Tarnow, L, Ladenvall, C, Alhenc Gelas, F, Lefebvre, P, Rigalleau, V, Roussel, R, Tregouet, D, Maestroni, A, Maestroni, S, Falhammar, H, Gu, T, Möllsten, A, Cimponeriu, D, Mihai, I, Mota, M, Mota, E, Serafinceanu, C, Stavarachi, M, Hanson, R, Nelson, R, Kretzler, M, Panduru, N, Gu, H, Brismar, K, Zerbini, G, Hadjadj, S, Marre, M, Lajer, M, Waggott, D, Savage, D, Bain, S, Martin, F, Godson, C, Groop, P, Maxwell, A, Sengupta, S, Peloso, G, Ganna, A, Mora, S, Chang, H, Den Hertog, H, Donnelly, L, Fraser, R, Freitag, D, Gurdasani, D, Kaakinen, M, Kettunen, J, Li, X, Montasser, M, Petersen, A, Saxena, R, Service, S, Sidore, C, Surakka, I, Van den Herik, E, Volcik, K, Asiki, G, Been, L, Bolton, J, Bonnycastle, L, Burnett, M, Cesana, G, Elliott, P, Eyjolfsson, G, Goodarzi, M, Gravito, M, Hartikainen, A, Hung, Y, Jones, M, Kaleebu, P, Kastelein, J, Kim, E, Komulainen, P, Lin, S, Nieminen, T, Nsubuga, R, Olafsson, I, Palotie, A, Papamarkou, T, Pomilla, C, Pouta, A, Ruokonen, A, Seeley, J, Silander, K, Stančáková, A, Tiret, L, van Pelt, L, Wainwright, N, Wijmenga, C, Willemsen, G, Young, E, Bennett, F, Boomsma, D, Bovet, P, Chen, Y, Feranil, A, Freimer, N, Hsiung, C, Järvelin, M, Kesäniemi, A, Koudstaal, P, Krauss, R, Kyvik, K, Martin, N, Meneton, P, Moilanen, L, Njølstad, I, Price, J, Sanghera, D, Sheu, W, Whitfield, J, Wolffenbuttel, B, Ordovas, J, Rich, S, Johnson, L, Larson, M, Levy, D, Newton Cheh, C, O'Reilly, P, Palmas, W, Rice, K, Snider, H, Tobin, M, Verwoert, G, Pihur, V, Heath, S, Sõber, S, Arora, P, Zhang, F, Lucas, G, Milaneschi, Y, Parker, A, Fava, C, Fox, E, Go, M, Sjögren, M, Vinay, D, Alexander, M, Tabara, Y, Shaw Hawkins, S, Whincup, P, Shi, G, Seielstad, M, Sim, X, Nguyen, K, Matullo, G, Gaunt, T, Onland Moret, N, Cooper, M, Platou, C, Org, E, Hardy, R, Dahgam, S, Palmen, J, Kuznetsova, T, Uiterwaal, C, Adeyemo, A, Ludwig, B, Tomaszewski, M, Tzoulaki, I, Palmer, N, Chang, Y, Steinle, N, Grobbee, D, Morrison, A, Najjar, S, Hadley, D, Connell, J, Day, I, Lawlor, D, Lawrence, R, Ongen, H, Li, Y, Young, J, Bis, J, Chaturvedi, N, Islam, M, Jafar, T, Kulkarni, S, Grässler, J, Howard, P, Guarrera, S, Ricceri, F, Emilsson, V, Plump, A, Weder, A, Sun, Y, Scott, L, Peltonen, L, Vartiainen, E, Brand, S, Wang, T, Burton, P, Artigas, M, Dong, Y, Wang, X, Zhu, H, Rudock, M, Heckbert, S, Smith, N, Wiggins, K, Doumatey, A, Shriner, D, Veldre, G, Viigimaa, M, Kinra, S, Prabhakaran, D, Tripathy, V, Langefeld, C, Rosengren, A, Thelle, D, Corsi, A, Singleton, A, Hilton, G, Salako, T, Iwai, N, Kita, Y, Ogihara, T, Ohkubo, T, Okamura, T, Ueshima, H, Umemura, S, Eyheramendy, S, Meitinger, T, Cho, Y, Scott, J, Sehmi, J, Hedblad, B, Nilsson, P, Stanèáková, A, Raffel, L, Yao, J, Schwartz, S, Ikram, M, Longstreth W., J, Mosley, T, Seshadri, S, Shrine, N, Wain, L, Morken, M, Laitinen, J, Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Würtz, P, Ong, R, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Dominiczak, A, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Anderson, C, Gordon, S, Guo, Q, Henders, A, Lambert, A, Kraft, P, Kennedy, S, Macgregor, S, Missmer, S, Painter, J, Roseman, F, Treloar, S, Wallace, L, Alizadeh, B, de Boer, R, Boezen, H, van der Klauw, M, Ormel, J, Postma, D, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Lecoeur, C, Johnson, P, Hottenga, J, Salo, P, Bielak, L, Zhao, W, Horikoshi, M, Navarro, P, Chen, H, Rybin, D, Song, K, An, P, Marullo, L, Jansen, H, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Toenjes, A, Peyser, P, Körner, A, Cucca, F, Balkau, B, Bouatia Naji, N, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Hedman, Å, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Higashio, J, Williams, R, Nato, A, Ambite, J, Manolio, T, Hindorff, L, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown Gentry, K, Thornton Wells, T, Dumitrescu, L, Jeff, J, Bush, W, Mitchell, S, Goodloe, R, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Zheng, W, Spencer, K, Pendergrass, S, Wilkens, L, Park, L, Tiirikainen, M, Kolonel, L, Lim, U, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Schumacher, F, Anderson, G, Carlson, C, Prentice, R, Wu, C, Carty, C, Gong, J, Rosse, S, Young, A, Haessler, J, Kocarnik, J, Lin, Y, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chanock, S, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hall, P, Hankinson, S, Hass, M, Heath, A, Janssens, A, Keyzer, J, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Medland, S, Melzer, D, Newman, A, Paré, G, Peeters, P, Pop, V, Räikkönen, K, Salumets, A, Smith, J, Stacey, S, Starr, J, Stathopoulou, M, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Wallaschofski, H, Widen, E, Wijnands van Gent, C, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Feenstra, B, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Easton, D, Foroud, T, Geller, F, Kilpeläinen, T, Li, S, Melbye, M, Murray, J, Murray, S, Ness, A, Northstone, K, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segrè, A, Sovio, U, Srinivasan, S, Tammesoo, M, Tyrer, J, Weedon, M, Young, L, Bierut, L, Boyd, H, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes

Subjects
Adipose Tissue/metabolism, Male, genetic association, subcutaneous fat, Transcription, Genetic, Adipocytes, Adipogenesis, Adipose Tissue, Age Factors, Body Mass Index, Continental Population Groups, Epigenesis, Genetic, Europe, Female, Genome, Human, Humans, Insulin, Insulin Resistance, Models, Biological, Neovascularization, Physiologic, Obesity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Sex Characteristics, Waist-Hip Ratio, Body Fat Distribution, Genome-Wide Association Study, Multidisciplinary, Insulin Resistance/genetics, Genome-wide association study, Continental Population Groups/genetics, genetic analysis, heritability, gene cluster, Science::Biological sciences::Human anatomy and physiology [DRNTU], 0302 clinical medicine, high density lipoprotein cholesterol, Models, genetics [Insulin Resistance], histone modification, Age Factor, insulin receptor, 0303 health sciences, Adipocyte, Human/genetics, CARDIOGRAMplusC4D Consortium, ADIPOGENIC DIFFERENTIATION, genetic correlation, body fat, Continental Population Group, priority journal, 5 trisphosphate 3 phosphatase, GEFOS Consortium, meta analysis (topic), Science & Technology - Other Topics, ddc:500, transcription regulation, Adipogenesis/genetics, Single Nucleotide/genetics, Human, medicine.medical_specialty, Waist, phosphatidylinositol 3, European, ta3111, genetic regulation, Article, developmental biology, 03 medical and health sciences, MAGIC Investigators, transcription initiation site, SDG 3 - Good Health and Well-being, Genetic, genomics, GLYCEMIC TRAITS, genetics [Continental Population Groups], Polymorphism, GENOME-WIDE ASSOCIATION, Physiologic, genetics [Adipogenesis], Adipocytes/metabolism, Europe/ethnology, Genome, Human/genetics, Insulin/metabolism, Neovascularization, Physiologic/genetics, Obesity/genetics, Polymorphism, Single Nucleotide/genetics, Quantitative Trait Loci/genetics, Transcription, Genetic/genetics, Genetic/genetics, Adipogenesi, Science & Technology, adiponectin, [ SDV ] Life Sciences [q-bio], vasculotropin, genetics [Quantitative Trait Loci], ta1184, Racial Groups, ta1182, gene mapping, ta3121, triacylglycerol blood level, medicine.disease, Biological, major clinical study, amino acid sequence, metabolism [Insulin], Endocrinology, metabolism [Adipocytes], genetic loci, insulin, body fat, GLGC, International Endogene Consortium, metabolism [Adipose Tissue], Body mass index, HUMAN HEIGHT, Epigenesis, LifeLines Cohort Study, ReproGen Consortium, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, tissue level, Physiologic/genetics, [SDV]Life Sciences [q-bio], Medizin, Adipose tissue, low density lipoprotein cholesterol, PAGE Consortium, COMMON SNPS, angiogenesis, Waist–hip ratio, genetics [Obesity], MESH: Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, single nucleotide polymorphism, fat, genetic variability, molecular biology, body mass index (BMI), ethnology [Europe], peroxisome proliferator activated receptor, 2. Zero hunger, Genetics, Genome, Single Nucleotide, waist circumference, insulin, phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase, triacylglycerol, vasculotropin, developmental biology, gene expression, genome, numerical model, adipocyte, adipose tissue, body fat distribution, body mass, female, gene locus, gene structure, hip circumference, human, insulin resistance, lipoprotein blood level, male, obesity, protein protein interaction, sex difference, waist hip ratio, Multidisciplinary Sciences, genetics [Transcription, Genetic], genetics [Polymorphism, Single Nucleotide], ADIPOGen Consortium, genetics [Neovascularization, Physiologic], Transcription, SUSCEPTIBILITY LOCI, General Science & Technology, ICBP, 030209 endocrinology & metabolism, Biology, adipocyte, MESH : Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, MESENCHYMAL STEM-CELLS, GENIE Consortium, SEXUAL-DIMORPHISM, Insulin resistance, Internal medicine, medicine, genetics [Genome, Human], ABDOMINAL ADIPOSITY, Neovascularization, 030304 developmental biology, FALSE DISCOVERY, CKDGen Consortium, Sex Characteristic, MuTHER Consortium, numerical model
Abstract

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P

Published
2015

47. Factors associated with oxidative stress and cancer risk in the Breast and Prostate Cancer Cohort Consortium (BPC3)

Author

Blein, Sophie, Berndt, Sonja, Joshi, Amit D., Campa, Daniele, Ziegler, Regina G., Riboli, Elio, Cox, David G., Gaudet, Mia M., Stevens, Victoria L., Diver, W. Ryan, Gapstur, Susan M., Chanock, Stephen J., Hoover, Robert N., Yeager, Meredith, Albanes, Demetrius, Virtamo, Jarmo, Crawford, E. David, Isaacs, Claudine, Berg, Christine, Trichopoulos, Dimitrios, Panico, Salvatore, Peeters, Petra H., Johansson, Mattias, Khaw, Kay-Tee, Kraft, Peter, Hunter, David J., Lindström, Sara, Ma, Jing, Stampfer, Meir, Gaziano, J. Michael, Giovannucci, Edward, Willett, Walter H., Hankinson, Susan E., Lee, I-Min, Buring, Julie, Henderson, Brian, Le Marchand, Loïc, Kolonel, Laurence, and Haiman, Christopher J.

Subjects
Male, Oxidative Stress, Genotype, Humans, Prostatic Neoplasms, Breast Neoplasms, Female, Genetic Predisposition to Disease, Reactive Oxygen Species, Polymorphism, Single Nucleotide, Survival Analysis, Article
Abstract

Both endogenous factors (genomic variations) and exogenous factors (environmental exposures, lifestyle) impact the balance of reactive oxygen species (ROS). Variants of the ND3 (rs2853826; G10398A) gene of the mitochondrial genome, manganese superoxide dismutase (MnSOD; rs4880 Val16Ala) and glutathione peroxidase (GPX-1; rs1050450 Pro198Leu) are purported to have functional effects on regulation of ROS balance. In this study, we examined associations of breast and prostate cancer risk and survival with these variants, and interactions between rs4880 - rs1050450 and alcohol consumption - rs2853826. Nested case-control studies were conducted in the Breast and Prostate Cancer Cohort Consortium (BPC3), consisting of nine cohorts. The analyses included over 10726 post-menopausal breast and 7532 prostate cancer cases with matched controls. Logistic regression models were used to evaluate associations with risk, and proportional hazard models were used for survival outcomes. We did not observe significant interactions between polymorphisms in MnSOD and GPX-1, or between mitochondrial polymorphisms and alcohol intake and risk of either breast (p-interaction of 0.34 and 0.98 respectively) or prostate cancer (p-interaction of 0.49 and 0.50 respectively). We observed a weak inverse association between prostate cancer risk and GPX-1 Leu198Leu carriers (OR 0.87, 95% CI 0.79 – 0.97, p = 0.01). Overall survival among women with breast cancer was inversely associated with G10398 carriers who consumed alcohol (HR 0.66 95% CI 0.49 – 0.88). Given the high power in our study, it is unlikely that interactions tested have more than moderate effects on breast or prostate cancer risk. Observed associations need both further epidemiological and biological confirmation.

Published
2014

48. Additive interactions between susceptibility single-nucleotide polymorphisms identified in genome-wide association studies and breast cancer risk factors in the Breast and Prostate Cancer Cohort Consortium

Author

Joshi, Amit D., Lindström, Sara, Hüsing, Anika, Barrdahl, Myrto, VanderWeele, Tyler J., Campa, Daniele, Canzian, Federico, Gaudet, Mia M., Figueroa, Jonine D., Baglietto, Laura, Berg, Christine D., Buring, Julie E., Chanock, Stephen J., Chirlaque, María-Dolores, Diver, W. Ryan, Dossus, Laure, Giles, Graham G., Haiman, Christopher A., Hankinson, Susan E., Henderson, Brian E., Hoover, Robert N., Hunter, David J., Isaacs, Claudine, Kaaks, Rudolf, Kolonel, Laurence N., Krogh, Vittorio, Le Marchand, Loic, Lee, I-Min, Lund, Eiliv, McCarty, Catherine A., Overvad, Kim, Peeters, Petra H., Riboli, Elio, Schumacher, Fredrick, Severi, Gianluca, Stram, Daniel O., Sund, Malin, Thun, Michael J., Travis, Ruth C., Trichopoulos, Dimitrios, Willett, Walter C., Zhang, Shumin, Ziegler, Regina G., Kraft, Peter, and Marchand, Loic Le

Subjects
Male, Oncology, medicine.medical_specialty, Pathology, Epidemiology, Original Contributions, Additive interactions, Breast cancer, Genome-wide association studies, Single-nucleotide polymorphisms, Breast Neoplasms, Single-nucleotide polymorphism, Genome-wide association study, Polymorphism, Single Nucleotide, Risk Assessment, White People, Body Mass Index, Cohort Studies, Prostate cancer, Risk Factors, Internal medicine, Biomarkers, Tumor, Odds Ratio, Humans, Medicine, Genetic Predisposition to Disease, Alleles, business.industry, Australia, Absolute risk reduction, Case-control study, Prostatic Neoplasms, Odds ratio, Middle Aged, medicine.disease, United States, DNA-Binding Proteins, Europe, Case-Control Studies, Female, Rad51 Recombinase, business, Risk assessment, Genome-Wide Association Study
Abstract

Additive interactions can have public health and etiological implications but are infrequently reported. We assessed departures from additivity on the absolute risk scale between 9 established breast cancer risk factors and 23 susceptibility single-nucleotide polymorphisms (SNPs) identified from genome-wide association studies among 10,146 non-Hispanic white breast cancer cases and 12,760 controls within the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium. We estimated the relative excess risk due to interaction and its 95% confidence interval for each pairwise combination of SNPs and nongenetic risk factors using age- and cohort-adjusted logistic regression models. After correction for multiple comparisons, we identified a statistically significant relative excess risk due to interaction (uncorrected P = 4.51 × 10(-5)) between a SNP in the DNA repair protein RAD51 homolog 2 gene (RAD51L1; rs10483813) and body mass index (weight (kg)/height (m)(2)). We also compared additive and multiplicative polygenic risk prediction models using per-allele odds ratio estimates from previous studies for breast-cancer susceptibility SNPs and observed that the multiplicative model had a substantially better goodness of fit than the additive model.

Published
2014

49. Duarte GALT genotypes are not associated with ovarian cancer risk

Author

Merritt, Melissa A., Kotsopoulos, Joanne, Cramer, Daniel W., Hankinson, Susan E., Terry, Kathryn L., and Tworoger, Shelley S.

Subjects
Adult, Cohort Studies, Ovarian Neoplasms, Risk, Genotype, Case-Control Studies, Humans, UTP-Hexose-1-Phosphate Uridylyltransferase, Female, Prospective Studies, Middle Aged, Article
Abstract

To investigate whether galactose-1-phosphate uridyl transferase (GALT) variant genotypes were associated with epithelial ovarian cancer risk, and to determine if this association was modified by lactose intake.Two prospective cohort studies and a case-control study.Academic institution.A total of 992 cases and 1,050 population-based control samples from a New England case-control study and 240 cases and 900 control samples from the Nurses' Health Studies.None.Genotyping of the N314D variant and the 4-bp deletion (-119delGTCA) of GALT with the use of the Taqman 5' nuclease assay. Duarte1 (D1) genotype individuals have a missense mutation (N314D) associated with normal GALT activity unless it occurs together with an associated 4-bp deletion leading to reduced GALT activity (Duarte2 or D2).Logistic regression analysis identified no association between D1/D2 genotypes and ovarian cancer risk (pooled risk ratio 1.1 [95% confidence interval (CI) 0.8-1.5] for D1 and 1.0 [95% CI 0.7-1.4] for D2). We did not observe a significant interaction between D1 and D2 genotypes in analyses stratified by level of lactose intake.D1 and D2 genotypes do not appear to play a role in the association between galactose intake, possible ovarian dysfunction, and the link with ovarian cancer.

Published
2012

50. Carotenoid intakes and risk of breast cancer defined by estrogen receptor and progesterone receptor status: a pooled analysis of 18 prospective cohort studies123

Author

Zhang, Xuehong, Spiegelman, Donna, Baglietto, Laura, Bernstein, Leslie, Boggs, Deborah A, van den Brandt, Piet A, Buring, Julie E, Gapstur, Susan M, Giles, Graham G, Giovannucci, Edward, Goodman, Gary, Hankinson, Susan E, Helzlsouer, Kathy J, Horn-Ross, Pamela L, Inoue, Manami, Jung, Seungyoun, Khudyakov, Polyna, Larsson, Susanna C, Lof, Marie, McCullough, Marjorie L, Miller, Anthony B, Neuhouser, Marian L, Palmer, Julie R, Park, Yikyung, Robien, Kim, Rohan, Thomas E, Ross, Julie A, Schouten, Leo J, Shikany, James M, Tsugane, Shoichiro, Visvanathan, Kala, Weiderpass, Elisabete, Wolk, Alicja, Willett, Walter C, Zhang, Shumin M, Ziegler, Regina G, and Smith-Warner, Stephanie A

Subjects
Adult, Aged, 80 and over, Lutein, Breast Neoplasms, Middle Aged, Xanthophylls, beta Carotene, Carotenoids, Young Adult, Nutritional Epidemiology and Public Health, Receptors, Estrogen, Risk Factors, Zeaxanthins, Surveys and Questionnaires, Multivariate Analysis, Humans, Female, Prospective Studies, Receptors, Progesterone, Aged, Follow-Up Studies
Abstract

Epidemiologic studies examining associations between carotenoid intakes and risk of breast cancer by estrogen receptor (ER) and progesterone receptor (PR) status are limited.We investigated these associations in a pooled analysis of 18 cohort studies.Of 1,028,438 participants followed for a maximum follow-up of 26 y across studies, 33,380 incident invasive breast cancers were identified. Study-specific RRs and 95% CIs were estimated by using Cox proportional hazards regression and then pooled by using a random-effects model.α-Carotene, β-carotene, and lutein/zeaxanthin intakes were inversely associated with the risk of ER-negative (ER-) breast cancer (pooled multivariable RRs of the comparison between the highest and lowest quintiles): α-carotene (0.87; 95% CI: 0.78, 0.97), β-carotene (0.84; 95% CI: 0.77, 0.93), and lutein/zeaxanthin (0.87; 95% CI: 0.79, 0.95). These variables were not inversely associated with the risk of ER-positive (ER+) breast cancer (pooled multivariable RRs for the same comparison): α-carotene (1.04; 95% CI: 0.99, 1.09), β-carotene (1.04; 95% CI: 0.98, 1.10), and lutein/zeaxanthin (1.00; 95% CI: 0.93, 1.07). Although the pooled RRs for quintile 5 for β-cryptoxanthin were not significant, inverse trends were observed for ER- and ER+ breast cancer (P-trend ≤ 0.05). Nonsignificant associations were observed for lycopene intake. The associations were largely not appreciably modified by several breast cancer risk factors. Nonsignificant associations were observed for PR-positive and PR-negative breast cancer.Intakes of α-carotene, β-carotene, and lutein/zeaxanthin were inversely associated with risk of ER-, but not ER+, breast cancer. However, the results need to be interpreted with caution because it is unclear whether the observed association is real or due to other constituents in the same food sources.

Published
2012

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