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1. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

Author: Mueller, Stefanie H, Lai, Alvina G, Valkovskaya, Maria, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Abu-Ful, Zomoruda, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baert, Thais, Freeman, Laura E Beane, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Brenner, Hermann, Brucker, Sara Y, Buys, Saundra S, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Chung, Wendy K, NBCS Collaborators, Colonna, Sarah V, CTS Consortium, Cornelissen, Sten, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Gago-Dominguez, Manuela, Gao, Yu-Tang, García-Closas, Montserrat, García-Sáenz, José A, Genkinger, Jeanine, Gentry-Maharaj, Aleksandra, Grassmann, Felix, Guénel, Pascal, Gündert, Melanie, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Harkness, Elaine F, Harrington, Patricia A, Hartikainen, Jaana M, Hartman, Mikael, Hein, Alexander, Ho, Weang-Kee, Hooning, Maartje J, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Huo, Dezheng, ABCTB Investigators, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K, Kim, Sung-Won, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Kwong, Ava, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Linet, Martha, Lo, Wing-Yee, Long, Jirong, Lophatananon, Artitaya, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Matsuo, Keitaro, Mavroudis, Dimitrios, Menon, Usha, Muir, Kenneth, Murphy, Rachel A, Nevanlinna, Heli, Newman, William G, Niederacher, Dieter, O'Brien, Katie M, Obi, Nadia, Offit, Kenneth, Olopade, Olufunmilayo I, Olshan, Andrew F, Olsson, Håkan, Park, Sue K, Patel, Alpa V, Patel, Achal, Perou, Charles M, Peto, Julian, Pharoah, Paul DP, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rack, Brigitte, Radice, Paolo, Ramachandran, Dhanya, Rashid, Muhammad U, Rennert, Gad, Romero, Atocha, Ruddy, Kathryn J, Ruebner, Matthias, Saloustros, Emmanouil, Sandler, Dale P, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Schneider, Michael O, Scott, Christopher, Shah, Mitul, Sharma, Priyanka, Shen, Chen-Yang, Shu, Xiao-Ou, Simard, Jacques, Surowy, Harald, Tamimi, Rulla M, Tapper, William J, Taylor, Jack A, Teo, Soo Hwang, Teras, Lauren R, Toland, Amanda E, Tollenaar, Rob AEM, Torres, Diana, Torres-Mejía, Gabriela, Troester, Melissa A, Truong, Thérèse, Vachon, Celine M, Vijai, Joseph, Weinberg, Clarice R, Wendt, Camilla, Winqvist, Robert, Wolk, Alicja, Wu, Anna H, Yamaji, Taiki, Yang, Xiaohong R, Yu, Jyh-Cherng, Zheng, Wei, Ziogas, Argyrios, Ziv, Elad, Dunning, Alison M, Easton, Douglas F, Hemingway, Harry, Hamann, Ute, Kuchenbaecker, Karoline B, Kuchenbaecker, Karoline B [0000-0001-9726-603X], and Apollo - University of Cambridge Repository
Subjects: Genome-wide association study, Breast cancer susceptibility, Diverse ancestry, Humans, Black People, Formins, Female, Genetic Predisposition to Disease, Rare variants, Breast Neoplasms, Genetic Testing, Polymorphism, Single Nucleotide, Gene regulation
Abstract: BACKGROUND: Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. METHODS: We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes' coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. RESULTS: In European ancestry samples, 14 genes were significantly associated (q < 0.05) with BC. Of those, two genes, FMNL3 (P = 6.11 × 10-6) and AC058822.1 (P = 1.47 × 10-4), represent new associations. High FMNL3 expression has previously been linked to poor prognosis in several other cancers. Meta-analysis of samples with diverse ancestry discovered further associations including established candidate genes ESR1 and CBLB. Furthermore, literature review and database query found further support for a biologically plausible link with cancer for genes CBLB, FMNL3, FGFR2, LSP1, MAP3K1, and SRGAP2C. CONCLUSIONS: Using extended gene-based aggregation tests including coding and regulatory variation, we report identification of plausible target genes for previously identified single-marker associations with BC as well as the discovery of novel genes implicated in BC development. Including multi ancestral cohorts in this study enabled the identification of otherwise missed disease associations as ESR1 (P = 1.31 × 10-5), demonstrating the importance of diversifying study cohorts.
Published: 2023
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2. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

Author: Mueller, Stefanie H, Lai, Alvina G, Valkovskaya, Maria, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Abu-Ful, Zomoruda, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baert, Thais, Freeman, Laura E Beane, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Brenner, Hermann, Brucker, Sara Y, Buys, Saundra S, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Chung, Wendy K, Sahlberg, Kristine K, Børresen-Dale, Anne-Lise, Ottestad, Lars, Kåresen, Rolf, Schlichting, Ellen, Holmen, Marit Muri, Sauer, Toril, Haakensen, Vilde, Engebråten, Olav, Naume, Bjørn, Fosså, Alexander, Kiserud, Cecile E, Reinertsen, Kristin V, Helland, Åslaug, Riis, Margit, Geisler, Jürgen, Grenaker Alnaes, Grethe I, Colonna, Sarah V, Cornelissen, Sten, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Gago-Dominguez, Manuela, Gao, Yu-Tang, García-Closas, Montserrat, García-Sáenz, José A, Genkinger, Jeanine, Gentry-Maharaj, Aleksandra, Grassmann, Felix, Guénel, Pascal, Gündert, Melanie, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Harkness, Elaine F, Harrington, Patricia A, Hartikainen, Jaana M, Hartman, Mikael, Hein, Alexander, Ho, Weang-Kee, Hooning, Maartje J, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Huo, Dezheng, Marsh, Deborah, Scott, Rodney, Baxter, Robert, Yip, Desmond, Carpenter, Jane, Davis, Alison, Pathmanathan, Nirmala, Simpson, Peter, Graham, Dinny, Sachchithananthan, Mythily, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K, Kim, Sung-Won, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Kwong, Ava, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Linet, Martha, Lo, Wing-Yee, Long, Jirong, Lophatananon, Artitaya, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Matsuo, Keitaro, Mavroudis, Dimitrios, Menon, Usha, Muir, Kenneth, Murphy, Rachel A, Nevanlinna, Heli, Newman, William G, Niederacher, Dieter, O’Brien, Katie M, Obi, Nadia, Offit, Kenneth, Olopade, Olufunmilayo I, Olshan, Andrew F, Olsson, Håkan, Park, Sue K, Patel, Alpa V, Patel, Achal, Perou, Charles M, Peto, Julian, Pharoah, Paul DP, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rack, Brigitte, Radice, Paolo, Ramachandran, Dhanya, Rashid, Muhammad U, Rennert, Gad, Romero, Atocha, Ruddy, Kathryn J, Ruebner, Matthias, Saloustros, Emmanouil, Sandler, Dale P, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Schneider, Michael O, Scott, Christopher, Shah, Mitul, Sharma, Priyanka, Shen, Chen-Yang, Shu, Xiao-Ou, Simard, Jacques, Surowy, Harald, Tamimi, Rulla M, Tapper, William J, Taylor, Jack A, Teo, Soo Hwang, Teras, Lauren R, Toland, Amanda E, Tollenaar, Rob AEM, Torres, Diana, Torres-Mejía, Gabriela, Troester, Melissa A, Truong, Thérèse, Vachon, Celine M, Vijai, Joseph, Weinberg, Clarice R, Wendt, Camilla, Winqvist, Robert, Wolk, Alicja, Wu, Anna H, Yamaji, Taiki, Yang, Xiaohong R, Yu, Jyh-Cherng, Zheng, Wei, Ziogas, Argyrios, Ziv, Elad, Dunning, Alison M, Easton, Douglas F, Hemingway, Harry, Hamann, Ute, Kuchenbaecker, Karoline B, HUS Comprehensive Cancer Center, Department of Oncology, Clinicum, Medicum, University of Helsinki, Department of Obstetrics and Gynecology, HUS Gynecology and Obstetrics, Medical Oncology, Kuchenbaecker, Karoline B [0000-0001-9726-603X], and Apollo - University of Cambridge Repository
Subjects: Genome-wide association study, Black People, Breast Neoplasms/genetics, VARIANTS, PHENOTYPE, Polymorphism, Single Nucleotide, SDG 3 - Good Health and Well-being, Genetics, Humans, Genetic Predisposition to Disease, ddc:610, Genetic Testing, GENOME-WIDE ASSOCIATION, Molecular Biology, Genetics (clinical), Medicinsk genetik, Genetics & Heredity, RISK, Science & Technology, Breast cancer susceptibility, Manchester Cancer Research Centre, IDENTIFICATION, HERITABILITY, Diverse ancestry, ResearchInstitutes_Networks_Beacons/mcrc, Research, 1184 Genetics, developmental biology, physiology, PATHWAYS, Rare variants, Formins/genetics, LIGASE CBL-B, Gene regulation, METASTASIS, Genome-Wide Association Study/methods, Molecular Medicine, Female, Medical Genetics, Life Sciences & Biomedicine, FUNCTIONAL ANNOTATION
Abstract: Background Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. Methods We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes’ coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. Results In European ancestry samples, 14 genes were significantly associated (q FMNL3 (P = 6.11 × 10−6) and AC058822.1 (P = 1.47 × 10−4), represent new associations. High FMNL3 expression has previously been linked to poor prognosis in several other cancers. Meta-analysis of samples with diverse ancestry discovered further associations including established candidate genes ESR1 and CBLB. Furthermore, literature review and database query found further support for a biologically plausible link with cancer for genes CBLB, FMNL3, FGFR2, LSP1, MAP3K1, and SRGAP2C. Conclusions Using extended gene-based aggregation tests including coding and regulatory variation, we report identification of plausible target genes for previously identified single-marker associations with BC as well as the discovery of novel genes implicated in BC development. Including multi ancestral cohorts in this study enabled the identification of otherwise missed disease associations as ESR1 (P = 1.31 × 10−5), demonstrating the importance of diversifying study cohorts.
Published: 2023
Full Text: View/download PDF

3. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

Author: Mueller, Stefanie H, Lai, Alvina G, Valkovskaya, Maria, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Abu-Ful, Zomoruda, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baert, Thais, Freeman, Laura E Beane, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Brenner, Hermann, Brucker, Sara Y, Buys, Saundra S, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Chung, Wendy K, NBCS Collaborators, Colonna, Sarah V, CTS Consortium, Cornelissen, Sten, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Gago-Dominguez, Manuela, Gao, Yu-Tang, García-Closas, Montserrat, García-Sáenz, José A, Genkinger, Jeanine, Gentry-Maharaj, Aleksandra, Grassmann, Felix, Guénel, Pascal, Gündert, Melanie, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Harkness, Elaine F, Harrington, Patricia A, Hartikainen, Jaana M, Hartman, Mikael, Hein, Alexander, Ho, Weang-Kee, Hooning, Maartje J, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Huo, Dezheng, ABCTB Investigators, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K, Kim, Sung-Won, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, and Kwong, Ava
Subjects: Genome-wide association study, Breast cancer susceptibility, Diverse ancestry, Clinical Sciences, ABCTB Investigators, Formins, Black People, Breast Neoplasms, Rare variants, Single Nucleotide, CTS Consortium, NBCS Collaborators, Gene regulation, Clinical Research, Breast Cancer, Genetics, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Female, Genetic Testing, Polymorphism, Aetiology, Genome-Wide Association Study, Cancer
Abstract: Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes' coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. In European ancestry samples, 14 genes were significantly associated (q
Published: 2023

4. Additional file 1 of Levothyroxine use and longitudinal changes in thigh muscles in at-risk participants for knee osteoarthritis: preliminary analysis from Osteoarthritis Initiative cohort

Author: Mohajer, Bahram, Moradi, Kamyar, Guermazi, Ali, Mammen, Jennifer S. R., Hunter, David J., Roemer, Frank W., and Demehri, Shadpour
Abstract: Additional file 1: Appendix 1. Variables included in the propensity-score matching. The pattern of missing data Little’s test. Table S1. Osteoarthritis Initiative (OAI) datasets used in the study. Table S2. Percentage of missing data of the covariate included in the multiple imputations and PS-matching methods. Table S3.1. Baseline characteristics of participants assessed in the sensitivity analysis to inclusion of all levothyroxine users (both adherent and non-adherent users) before and after propensity score matching according to levothyroxine use. Table S3.2. Sensitivity to inclusion of all levothyroxine users (both adherent and non-adherent users) for longitudinal changes in thigh muscle markers between levothyroxine users and nonuser participants. Table S3.3. Sensitivity inclusion of all levothyroxine users (both adherent and non-adherent users) for the assessment of the association between levothyroxine use and risk of KOA incidence. Table S3.4. Sensitivity analysis on the inclusion of all levothyroxine users (both adherent and non-adherent users) for mediatory role of thigh muscle markers in the association between levothyroxine use and KOA incidence. Figure S1. Study outcome variables.
Published: 2023
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5. Distinct Reproductive Risk Profiles for Intrinsic-Like Breast Cancer Subtypes: Pooled Analysis of Population-Based Studies

Author: Jung, Audrey Y, Ahearn, Thomas U, Behrens, Sabine, Middha, Pooja, Bolla, Manjeet K, Wang, Qin, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Beane Freeman, Laura E, Becher, Heiko, Brenner, Hermann, Canzian, Federico, Carey, Lisa A, CTS Consortium, Czene, Kamila, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Figueroa, Jonine D, Fritschi, Lin, Gabrielson, Marike, Giles, Graham G, Guénel, Pascal, Hadjisavvas, Andreas, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hoppe, Reiner, Hopper, John L, Howell, Anthony, Hunter, David J, Hüsing, Anika, Kaaks, Rudolf, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Lacey, James V, Le Marchand, Loic, Lissowska, Jolanta, Loizidou, Maria A, Mannermaa, Arto, Maurer, Tabea, Murphy, Rachel A, Olshan, Andrew F, Olsson, Håkan, Patel, Alpa V, Perou, Charles M, Rennert, Gad, Shibli, Rana, Shu, Xiao-Ou, Southey, Melissa C, Stone, Jennifer, Tamimi, Rulla M, Teras, Lauren R, Troester, Melissa A, Truong, Thérèse, Vachon, Celine M, Wang, Sophia S, Wolk, Alicja, Wu, Anna H, Yang, Xiaohong R, Zheng, Wei, Dunning, Alison M, Pharoah, Paul DP, Easton, Douglas F, Milne, Roger L, Chatterjee, Nilanjan, Schmidt, Marjanka K, García-Closas, Montserrat, Chang-Claude, Jenny, Jung, Audrey Y [0000-0003-0875-6673], Ahearn, Thomas U [0000-0003-0771-7752], Behrens, Sabine [0000-0002-9714-104X], Middha, Pooja [0000-0001-5503-8215], Wang, Qin [0000-0002-9139-0627], Arndt, Volker [0000-0001-9320-8684], Aronson, Kristan J [0000-0002-7865-7243], Becher, Heiko [0000-0002-8808-6667], Brenner, Hermann [0000-0002-6129-1572], Canzian, Federico [0000-0002-4261-4583], Czene, Kamila [0000-0002-3233-5695], Eliassen, A Heather [0000-0002-3961-6609], Figueroa, Jonine D [0000-0002-5100-623X], Fritschi, Lin [0000-0002-7692-3560], Gabrielson, Marike [0000-0002-3171-1556], Giles, Graham G [0000-0003-4946-9099], Guénel, Pascal [0000-0002-8359-518X], Hadjisavvas, Andreas [0000-0002-5636-0799], Håkansson, Niclas [0000-0001-7673-5554], Hall, Per [0000-0002-5640-9126], Hüsing, Anika [0000-0002-2685-9732], Koutros, Stella [0000-0001-5294-5485], Kraft, Peter [0000-0002-4472-8103], Le Marchand, Loic [0000-0001-5013-980X], Lissowska, Jolanta [0000-0003-2695-5799], Loizidou, Maria A [0000-0003-4503-7758], Mannermaa, Arto [0000-0001-8250-1930], Murphy, Rachel A [0000-0003-4383-5641], Olsson, Håkan [0000-0002-7721-4619], Patel, Alpa V [0000-0001-8834-9896], Perou, Charles M [0000-0001-9827-2247], Shu, Xiao-Ou [0000-0002-0711-8314], Southey, Melissa C [0000-0002-6313-9005], Stone, Jennifer [0000-0001-5077-0124], Tamimi, Rulla M [0000-0003-2306-8668], Vachon, Celine M [0000-0002-1962-9322], Wolk, Alicja [0000-0001-7387-6845], Dunning, Alison M [0000-0001-6651-7166], Pharoah, Paul DP [0000-0001-8494-732X], Easton, Douglas F [0000-0003-2444-3247], Milne, Roger L [0000-0001-5764-7268], Schmidt, Marjanka K [0000-0002-2228-429X], García-Closas, Montserrat [0000-0003-1033-2650], Chang-Claude, Jenny [0000-0001-8919-1971], and Apollo - University of Cambridge Repository
Subjects: Receptors, Estrogen, Receptor, ErbB-2, Risk Factors, Case-Control Studies, Biomarkers, Tumor, Humans, Female, Breast Neoplasms, Triple Negative Breast Neoplasms, Receptors, Progesterone
Abstract: BACKGROUND: Reproductive factors have been shown to be differentially associated with risk of estrogen receptor (ER)-positive and ER-negative breast cancer. However, their associations with intrinsic-like subtypes are less clear. METHODS: Analyses included up to 23 353 cases and 71 072 controls pooled from 31 population-based case-control or cohort studies in the Breast Cancer Association Consortium across 16 countries on 4 continents. Polytomous logistic regression was used to estimate the association between reproductive factors and risk of breast cancer by intrinsic-like subtypes (luminal A-like, luminal B-like, luminal B-HER2-like, HER2-enriched-like, and triple-negative breast cancer) and by invasiveness. All statistical tests were 2-sided. RESULTS: Compared with nulliparous women, parous women had a lower risk of luminal A-like, luminal B-like, luminal B-HER2-like, and HER2-enriched-like disease. This association was apparent only after approximately 10 years since last birth and became stronger with increasing time (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.49 to 0.71; and OR = 0.36, 95% CI = 0.28 to 0.46 for multiparous women with luminal A-like tumors 20 to less than 25 years after last birth and 45 to less than 50 years after last birth, respectively). In contrast, parous women had a higher risk of triple-negative breast cancer right after their last birth (for multiparous women: OR = 3.12, 95% CI = 2.02 to 4.83) that was attenuated with time but persisted for decades (OR = 1.03, 95% CI = 0.79 to 1.34, for multiparous women 25 to less than 30 years after last birth). Older age at first birth (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) and breastfeeding (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) were associated with lower risk of triple-negative breast cancer but not with other disease subtypes. Younger age at menarche was associated with higher risk of all subtypes; older age at menopause was associated with higher risk of luminal A-like but not triple-negative breast cancer. Associations for in situ tumors were similar to luminal A-like. CONCLUSIONS: This large and comprehensive study demonstrates a distinct reproductive risk factor profile for triple-negative breast cancer compared with other subtypes, with implications for the understanding of disease etiology and risk prediction.
Published: 2022

6. Multivariable Modeling of Biomarker Data From the Phase I Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium

Author: Hunter, David J, Deveza, Leticia A, Collins, Jamie E, Losina, Elena, Katz, Jeffrey N, Nevitt, Michael C, Lynch, John A, Roemer, Frank W, Guermazi, Ali, Bowes, Michael A, Dam, Erik B, Eckstein, Felix, Kwoh, C Kent, Hoffmann, Steve, and Kraus, Virginia B
Subjects: Aging, Synovitis, Knee Joint, Arthritis, Prevention, Pain Research, Clinical Sciences, Magnetic Resonance Imaging, United States, Cartilage, National Institutes of Health (U.S.), Clinical Research, Musculoskeletal, Osteoarthritis, Disease Progression, Public Health and Health Services, Humans, Biomedical Imaging, Psychology, Knee, Chronic Pain, Biomarkers, Articular
Abstract: ObjectiveTo determine the optimal combination of imaging and biochemical biomarkers for use in the prediction of knee osteoarthritis (OA) progression.MethodsThe present study was a nested case-control trial from the Foundation of the National Institutes of Health OA Biomarkers Consortium that assessed study participants with a Kellgren/Lawrence grade of 1-3 who had complete biomarker data available (n = 539 to 550). Cases were participants' knees that had radiographic and pain progression between 24 and 48 months compared to baseline. Radiographic progression only was assessed in secondary analyses. Biomarkers (baseline and 24-month changes) that had a P value of
Published: 2022

7. Genetic diversity fuels gene discovery for tobacco and alcohol use

Author: Saunders, Gretchen R. B., Wang, Xingyan, Chen, Fang, Jang, Seon-Kyeong, Liu, Mengzhen, Wang, Chen, Gao, Shuang, Jiang, Yu, Khunsriraksakul, Chachrit, Otto, Jacqueline M., Addison, Clifton, Akiyama, Masato, Albert, Christine M., Aliev, Fazil, Alonso, Alvaro, Arnett, Donna K., Ashley-Koch, Allison E., Ashrani, Aneel A., Barnes, Kathleen C., Barr, R. Graham, Bartz, Traci M., Becker, Diane M., Bielak, Lawrence F., Benjamin, Emelia J., Bis, Joshua C., Bjornsdottir, Gyda, Blangero, John, Bleecker, Eugene R., Boardman, Jason D., Boerwinkle, Eric, Boomsma, Dorret, Boorgula, Meher Preethi, Bowden, Donald W., Brody, Jennifer A., Cade, Brian E., Chasman, Daniel, Chavan, Sameer, Chen, Yii-Der Ida, Chen, Zhengming, Cheng, Iona, Cho, Michael H., Choquet, Helene, Cole, John W., Cornelis, Marilyn C., Cucca, Francesco, Curran, Joanne E., de Andrade, Mariza, Dick, Danielle M., Docherty, Anna R., Duggirala, Ravindranath, Eaton, Charles B., Ehringer, Marissa A., Esko, Tonu, Faul, Jessica D., Silva, Lilian Fernandes, Fiorillo, Edoardo, Fornage, Myriam, Freedman, Barry, Gabrielsen, Maiken E., Garrett, Melanie E., Gharib, Sina A., Gieger, Christian, Gillespie, Nathan, Glahn, David C., Gordon, Scott D., Gu, Charles C., Gu, Dongfeng, Gudbjartsson, Daniel F., Guo, Xiuqing, Haessler, Jeffrey, Hall, Michael E., Haller, Toomas, Harris, Kathleen Mullan, He, Jiang, Herd, Pamela, Hewitt, John K., Hickie, Ian, Hidalgo, Bertha, Hokanson, John E., Hopfer, Christian, Hottenga, JoukeJan, Hou, Lifang, Huang, Hongyan, Hung, Yi-Jen, Hunter, David J., Hveem, Kristian, Hwang, Shih-Jen, Hwu, Chii-Min, Iacono, William, Irvin, Marguerite R., Jee, Yon Ho, Johnson, Eric O., Joo, Yoonjung Y., Jorgenson, Eric, Justice, Anne E., Kamatani, Yoichiro, Kaplan, Robert C., Kaprio, Jaakko, Kardia, Sharon L. R., Keller, Matthew C., Kelly, Tanika N., Kooperberg, Charles, Korhonen, Tellervo, Kraft, Peter, Krauter, Kenneth, Kuusisto, Johanna, Laakso, Markku, Lasky-Su, Jessica, Lee, Wen-Jane, Lee, James J., Levy, Daniel, Li, Liming, Li, Kevin, Li, Yuqing, Lin, Kuang, Lind, Penelope A., Liu, Chunyu, Lloyd-Jones, Donald M., Lutz, Sharon M., Ma, Jiantao, Magi, Reedik, Manichaikul, Ani, Martin, Nicholas G., Mathur, Ravi, Matoba, Nana, McArdle, Patrick F., McGue, Matt, McQueen, Matthew B., Medland, Sarah E., Metspalu, Andres, Meyers, Deborah A., Millwood, Iona Y., Mitchell, Braxton D., Mohlke, Karen L., Moll, Matthew, Montasser, May E., Morrison, Alanna C., Mulas, Antonella, Nielsen, Jonas B., North, Kari E., Oelsner, Elizabeth C., Okada, Yukinori, Orru, Valeria, Palmer, Nicholette D., Palviainen, Teemu, Pandit, Anita, Park, S. Lani, Peters, Ulrike, Peters, Annette, Peyser, Patricia A., Polderman, Tinca J. C., Rafaels, Nicholas, Redline, Susan, Reed, Robert M., Reiner, Alex P., Rice, John P., Rich, Stephen S., Richmond, Nicole E., Roan, Carol, Rotter, Jerome, Rueschman, Michael N., Runarsdottir, Valgerdur, Saccone, Nancy L., Schwartz, David A., Shadyab, Aladdin H., Shi, Jingchunzi, Shringarpure, Suyash S., Sicinski, Kamil, Skogholt, Anne Heidi, Smith, Jennifer A., Smith, Nicholas L., Sotoodehnia, Nona, Stallings, Michael C., Stefansson, Hreinn, Stefansson, Kari, Stitzel, Jerry A., Sun, Xiao, Syed, Moin, Tal-Singer, Ruth, Taylor, Amy E., Taylor, Kent D., Telen, Marilyn J., Thai, Khanh K., Tiwari, Hemant, Turman, Constance, Tyrfingsson, Thorarinn, Wall, Tamara L., Walters, Robin G., Weir, David R., Weiss, Scott T., White, Wendy B., Whitfield, John B., Wiggins, Kerri L., Willemsen, Gonneke, Willer, Cristen J., Winsvold, Bendik S., Xu, Huichun, Yanek, Lisa R., Yin, Jie, Young, Kristin L., Young, Kendra A., Yu, Bing, Zhao, Wei, Zhou, Wei, Zollner, Sebastian, Zuccolo, Luisa, Project, The Biobank Japan, Batini, Chiara, Bergen, Andrew W., Bierut, Laura J., David, Sean P., Taliun, Sarah A. Gagliano, Hancock, Dana B., Jiang, Bibo, Munafo, Marcus R., Thorgeirsson, Thorgeir E., Liu, Dajiang J., Vrieze, Scott, Pediatrics, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Biological Psychology, Amsterdam Reproduction & Development, APH - Mental Health, APH - Methodology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Clinical Developmental Psychology, Institute for Molecular Medicine Finland, University Management, Tellervo Korhonen / Principal Investigator, Genetic Epidemiology, and University of Helsinki
Subjects: Multidisciplinary, Internationality, Protein, Genetic Predisposition to Disease/genetics, 1184 Genetics, developmental biology, physiology, Neurotrophic factors, Alcohol Drinking/genetics, Europe/ethnology, Genetic Variation/genetics, Tobacco Use/genetics, SDG 3 - Good Health and Well-being, Risk Factors, Sample Size, Genetic Loci/genetics, Genome-Wide Association Study/methods, Humans, Disease, 3111 Biomedicine, Prediction, Transcriptome, Multifactorial Inheritance/genetics, Model
Abstract: Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury1–4. These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries5. Here we leveraged global genetic diversity across 3.4 million individuals from four major clines of global ancestry (approximately 21% non-European) to power the discovery and fine-mapping of genomic loci associated with tobacco and alcohol use, to inform function of these loci via ancestry-aware transcriptome-wide association studies, and to evaluate the genetic architecture and predictive power of polygenic risk within and across populations. We found that increases in sample size and genetic diversity improved locus identification and fine-mapping resolution, and that a large majority of the 3,823 associated variants (from 2,143 loci) showed consistent effect sizes across ancestry dimensions. However, polygenic risk scores developed in one ancestry performed poorly in others, highlighting the continued need to increase sample sizes of diverse ancestries to realize any potential benefit of polygenic prediction.
Published: 2022
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8. Additional file 2 of Effects of adding a diet intervention to exercise on hip osteoarthritis pain: protocol for the ECHO randomized controlled trial

Author: Hall, Michelle, Hinman, Rana S., Knox, Gabrielle, Spiers, Libby, Sumithran, Priya, Murphy, Nicholas J., McManus, Fiona, Lamb, Karen E., Cicuittini, Flavia, Hunter, David J., Messier, Stephen P., and Bennell, Kim L.
Subjects: humanities
Abstract: Additional file 2. ECHO study participant consent form.
Published: 2022
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9. sj-pdf-1-ajs-10.1177_03635465221120388 – Supplemental material for Comparison of Walking Biomechanics After Physical Therapist–Led Care or Hip Arthroscopy for Femoroacetabular Impingement Syndrome: A Secondary Analysis From a Randomized Controlled Trial

Author: Grant, Tamara M., Diamond, Laura E., Pizzolato, Claudio, Savage, Trevor N., Bennell, Kim, Dickenson, Edward J., Eyles, Jillian, Foster, Nadine E., Hall, Michelle, Hunter, David J., Lloyd, David G., Molnar, Robert, Murphy, Nicholas J., O’Donnell, John, Singh, Parminder, Spiers, Libby, Tran, Phong, and Saxby, David J.
Subjects: FOS: Clinical medicine, 110323 Surgery, 110604 Sports Medicine, FOS: Health sciences, 110314 Orthopaedics
Abstract: Supplemental material, sj-pdf-1-ajs-10.1177_03635465221120388 for Comparison of Walking Biomechanics After Physical Therapist–Led Care or Hip Arthroscopy for Femoroacetabular Impingement Syndrome: A Secondary Analysis From a Randomized Controlled Trial by Tamara M. Grant, Laura E. Diamond, Claudio Pizzolato, Trevor N. Savage, Kim Bennell, Edward J. Dickenson, Jillian Eyles, Nadine E. Foster, Michelle Hall, David J. Hunter, David G. Lloyd, Robert Molnar, Nicholas J. Murphy, John O’Donnell, Parminder Singh, Libby Spiers, Phong Tran and David J. Saxby in The American Journal of Sports Medicine
Published: 2022
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10. Additional file 1 of Protocol for the development of a core domain set for individuals with ankle osteoarthritis

Author: Alanazi, Sultan Ayyadah, Vicenzino, Bill, van Bergen, Christiaan J. A., Hunter, David J., Wikstrom, Erik A., Menz, Hylton B., Golightly, Yvonne M., and Smith, Michelle D.
Abstract: Additional file 1. Core Outcome Set-STAndardised Protocol Items (COS-STAP) Checklist
Published: 2022
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11. Additional file 1 of Effects of adding a diet intervention to exercise on hip osteoarthritis pain: protocol for the ECHO randomized controlled trial

Author: Hall, Michelle, Hinman, Rana S., Knox, Gabrielle, Spiers, Libby, Sumithran, Priya, Murphy, Nicholas J., McManus, Fiona, Lamb, Karen E., Cicuittini, Flavia, Hunter, David J., Messier, Stephen P., and Bennell, Kim L.
Subjects: Data_FILES, ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS, Hardware_ARITHMETICANDLOGICSTRUCTURES
Abstract: Additional file 1. ECHO study protocol version 2.
Published: 2022
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12. Mendelian randomisation study of smoking exposure in relation to breast cancer risk

Author: Park, Hanla A, Neumeyer, Sonja, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baten, Adinda, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brucker, Sara Y, Burwinkel, Barbara, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, NBCS Collaborators, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Fritschi, Lin, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Glendon, Gord, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Grip, Mervi, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Han, Sileny, Harkness, Elaine F, Hart, Steven N, He, Wei, Heemskerk-Gerritsen, Bernadette AM, Hopper, John L, Hunter, David J, ABCTB Investigators, kConFab Investigators, Jager, Agnes, Jakubowska, Anna, John, Esther M, Jung, Audrey, Kaaks, Rudolf, Kapoor, Pooja Middha, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Koppert, Linetta B, Koutros, Stella, Kristensen, Vessela N, Kurian, Allison W, Lacey, James, Lambrechts, Diether, Le Marchand, Loic, Lo, Wing-Yee, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, Meindl, Alfons, and Menon, Usha
Subjects: Genotyping Techniques, Oncology and Carcinogenesis, ABCTB Investigators, Breast Neoplasms, NBCS Collaborators, Cigarette Smoking, Substance Misuse, Clinical Research, Breast Cancer, Tobacco, Genetics, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Oncology & Carcinogenesis, Polymorphism, Aetiology, Cancer, Tobacco Smoke and Health, Prevention, Human Genome, Substance Abuse, Genetic Pleiotropy, Single Nucleotide, Mendelian Randomization Analysis, Good Health and Well Being, Case-Control Studies, Public Health and Health Services, kConFab Investigators, Female, Drug Abuse (NIDA only), Genome-Wide Association Study
Abstract: BackgroundDespite a modest association between tobacco smoking and breast cancer risk reported by recent epidemiological studies, it is still equivocal whether smoking is causally related to breast cancer risk.MethodsWe applied Mendelian randomisation (MR) to evaluate a potential causal effect of cigarette smoking on breast cancer risk. Both individual-level data as well as summary statistics for 164 single-nucleotide polymorphisms (SNPs) reported in genome-wide association studies of lifetime smoking index (LSI) or cigarette per day (CPD) were used to obtain MR effect estimates. Data from 108,420 invasive breast cancer cases and 87,681 controls were used for the LSI analysis and for the CPD analysis conducted among ever-smokers from 26,147 cancer cases and 26,072 controls. Sensitivity analyses were conducted to address pleiotropy.ResultsGenetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07-1.30, P = 0.11 × 10-2), but there was no evidence of association for genetically predicted CPD (OR 1.02, 95% CI: 0.78-1.19, P = 0.85). The sensitivity analyses yielded similar results and showed no strong evidence of pleiotropic effect.ConclusionOur MR study provides supportive evidence for a potential causal association with breast cancer risk for lifetime smoking exposure but not cigarettes per day among smokers.
Published: 2021

13. Germline variants and breast cancer survival in patients with distant metastases at primary breast cancer diagnosis

Author: Escala-Garcia, Maria, Canisius, Sander, Keeman, Renske, Beesley, Jonathan, Anton-Culver, Hoda, Arndt, Volker, Augustinsson, Annelie, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bermisheva, Marina, Bojesen, Stig E, Bolla, Manjeet K, Brenner, Hermann, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Dennis, Joe, Devilee, Peter, Dörk, Thilo, Dunning, Alison M, Easton, Douglas F, Ekici, Arif B, Eliassen, A Heather, Fasching, Peter A, Flyger, Henrik, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Geisler, Jürgen, Giles, Graham G, Grip, Mervi, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hartikainen, Jaana M, Heemskerk-Gerritsen, Bernadette AM, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John L, Hunter, David J, Jacot, William, Jakubowska, Anna, John, Esther M, Jung, Audrey Y, Kaaks, Rudolf, Khusnutdinova, Elza, Koppert, Linetta B, Kraft, Peter, Kristensen, Vessela N, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Lindblom, Annika, Luben, Robert N, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Mavroudis, Dimitrios, Muranen, Taru A, Nevanlinna, Heli, Olshan, Andrew F, Olsson, Håkan, Park-Simon, Tjoung-Won, Patel, Alpa V, Peterlongo, Paolo, Pharoah, Paul DP, Punie, Kevin, Radice, Paolo, Rennert, Gad, Rennert, Hedy S, Romero, Atocha, Roylance, Rebecca, Rüdiger, Thomas, Ruebner, Matthias, Saloustros, Emmanouil, Sawyer, Elinor J, Schmutzler, Rita K, Schoemaker, Minouk J, Scott, Christopher, Southey, Melissa C, Surowy, Harald, Swerdlow, Anthony J, Tamimi, Rulla M, Teras, Lauren R, Thomas, Emilie, Tomlinson, Ian, Troester, Melissa A, Vachon, Celine M, Wang, Qin, Winqvist, Robert, and Wolk, Alicja
Subjects: screening and diagnosis, Tumor, Prevention, kConFab/AOCS Investigators, Genetic Variation, Breast Neoplasms, Single Nucleotide, Kaplan-Meier Estimate, 4.1 Discovery and preclinical testing of markers and technologies, Detection, Germ Cells, Cancer Survivors, Breast Cancer, Genetics, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Female, Polymorphism, Aetiology, skin and connective tissue diseases, Germ-Line Mutation, Biomarkers, Cancer
Abstract: Breast cancer metastasis accounts for most of the deaths from breast cancer. Identification of germline variants associated with survival in aggressive types of breast cancer may inform understanding of breast cancer progression and assist treatment. In this analysis, we studied the associations between germline variants and breast cancer survival for patients with distant metastases at primary breast cancer diagnosis. We used data from the Breast Cancer Association Consortium (BCAC) including 1062 women of European ancestry with metastatic breast cancer, 606 of whom died of breast cancer. We identified two germline variants on chromosome 1, rs138569520 and rs146023652, significantly associated with breast cancer-specific survival (P = 3.19 × 10-8 and 4.42 × 10-8). In silico analysis suggested a potential regulatory effect of the variants on the nearby target genes SDE2 and H3F3A. However, the variants showed no evidence of association in a smaller replication dataset. The validation dataset was obtained from the SNPs to Risk of Metastasis (StoRM) study and included 293 patients with metastatic primary breast cancer at diagnosis. Ultimately, larger replication studies are needed to confirm the identified associations.
Published: 2021

14. Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment

Author: Morra, Anna, Escala-Garcia, Maria, Beesley, Jonathan, Keeman, Renske, Canisius, Sander, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L, Augustinsson, Annelie, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bojesen, Stig E, Bolla, Manjeet K, Brenner, Hermann, Brüning, Thomas, Buys, Saundra S, Caan, Bette, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Cheng, Ting-Yuan David, Clarke, Christine L, NBCS Collaborators, Colonna, Sarah V, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Dörk, Thilo, Dossus, Laure, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Fritschi, Lin, Gago-Dominguez, Manuela, García-Sáenz, José A, Giles, Graham G, Grip, Mervi, Guénel, Pascal, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hart, Steven N, Hartikainen, Jaana M, Hartmann, Arndt, He, Wei, Hooning, Maartje J, Hoppe, Reiner, Hopper, John L, Howell, Anthony, Hunter, David J, ABCTB Investigators, kConFab Investigators, Jager, Agnes, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey Y, Kaaks, Rudolf, Keupers, Machteld, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kurian, Allison W, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Lindblom, Annika, Linet, Martha, Luben, Robert N, Lubiński, Jan, Lush, Michael, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martens, John WM, Martinez, Maria Elena, Mavroudis, Dimitrios, Michailidou, Kyriaki, Milne, Roger L, Mulligan, Anna Marie, and Muranen, Taru A
Subjects: Oncology and Carcinogenesis, ABCTB Investigators, Breast Neoplasms, Systemic treatment, NBCS Collaborators, Clinical Research, Breast Cancer, Genetics, Humans, 2.1 Biological and endogenous factors, Oncology & Carcinogenesis, Polymorphism, Aetiology, Germ-Line Mutation, Cancer, Tumor biology, Human Genome, Single Nucleotide, Common germline genetic variants, Prognosis, Survival Analysis, kConFab Investigators, Female, Patient subgroups, Genome-Wide Association Study, Breast cancer-specific survival
Abstract: BackgroundGiven the high heterogeneity among breast tumors, associations between common germline genetic variants and survival that may exist within specific subgroups could go undetected in an unstratified set of breast cancer patients.MethodsWe performed genome-wide association analyses within 15 subgroups of breast cancer patients based on prognostic factors, including hormone receptors, tumor grade, age, and type of systemic treatment. Analyses were based on 91,686 female patients of European ancestry from the Breast Cancer Association Consortium, including 7531 breast cancer-specific deaths over a median follow-up of 8.1 years. Cox regression was used to assess associations of common germline variants with 15-year and 5-year breast cancer-specific survival. We assessed the probability of these associations being true positives via the Bayesian false discovery probability (BFDP
Published: 2021

15. Recent Injury, Severe Radiographic Change, and Lower Quadriceps Strength Increase Risk of Knee Pain Exacerbation During Walking: A Within-Person Knee-Matched Study

Author: Liu, Qiang, Li, Zhikun, Ferreira, Manuela, Wise, Barton, Hunter, David J, Tao, Ke, Lin, Jianhao, and Zhang, Yuqing
Subjects: musculoskeletal diseases, Male, Clinical Sciences, Walk Test, Knee Injuries, Walking, Quadriceps Muscle, Clinical Research, Osteoarthritis, 80 and over, Humans, risk factors, 2.1 Biological and endogenous factors, Knee, pain, Longitudinal Studies, Muscle Strength, Aetiology, Aged, Prevention, Arthritis, Rehabilitation, Pain Research, Neurosciences, Human Movement and Sports Sciences, Middle Aged, Arthralgia, Radiography, Orthopedics, disability, Case-Control Studies, Musculoskeletal, Injury (total) Accidents/Adverse Effects, Female, Chronic Pain, human activities
Abstract: ObjectiveTo examine the associations of knee injury, radiographic osteoarthritis severity, and quadriceps strength with knee pain exacerbation during walking.DesignWithin-person knee-matched case-control study.MethodsParticipants from the Osteoarthritis Initiative who completed a 20-m walking test at the 24-month visit were included. Pain exacerbation was defined as an increase in pain intensity of 1 or more on a numeric rating scale (0 as no pain and 10 as the worst imaginable pain) while completing the 20-m walking test. We used conditional logistic regression to assess the relation of recent knee injury, Kellgren-Lawrence (KL) grade, and quadriceps strength to unilateral knee pain exacerbation during walking.ResultsWe included 277 people who experienced unilateral knee pain exacerbation during the walking test. Recent knee injury was associated with pain exacerbation during walking, with an odds ratio of 3.4 (95% confidence interval [CI]: 1.3, 9.2). Compared with knees with a KL grade of 0, the odds ratios of pain exacerbation during walking were 1.3 (95% CI: 0.7, 2.7), 3.3 (95% CI: 1.5, 7.1), and 8.1 (95% CI: 3.1, 21.1) for knees with KL grades of 2, 3, and 4, respectively. Painful knees with a deficit in quadriceps strength of greater than or equal to 4% had a 1.4-fold (95% CI: 1.0, 1.9) higher risk of pain exacerbation during walking than their pain-free counterparts.ConclusionRecent knee injury, more severe radiographic osteoarthritis, and lower quadriceps strength were associated with an increased risk of knee pain exacerbation during walking. J Orthop Sports Phys Ther 2021;51(6):298-304. Epub 10 May 2021. doi:10.2519/jospt.2021.9735.
Published: 2021

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

Author: Kapoor, Pooja Middha, Mavaddat, Nasim, Choudhury, Parichoy Pal, Wilcox, Amber N, Lindström, Sara, Behrens, Sabine, Michailidou, Kyriaki, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Jung, Audrey, Abu-Ful, Zomoroda, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bernstein, Leslie, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chatterjee, Nilanjan, Chenevix-Trench, Georgia, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dai, James Y, Earp, H Shelton, Ekici, Arif B, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gao, Chi, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hatse, Sigrid, Heyworth, Jane, Holleczek, Bernd, Hoover, Robert N, Hopper, John L, Howell, Anthony, Hunter, David J, ABCTB Investigators, kConFab/AOCS Investigators, John, Esther M, Jones, Michael E, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, MacInnis, Robert J, Martinez, Maria Elena, Maurer, Tabea, McLean, Catriona, Neuhausen, Susan L, Newman, William G, Norman, Aaron, O'Brien, Katie M, Olshan, Andrew F, Olson, Janet E, Olsson, Håkan, and Orr, Nick
Subjects: Aging, kConFab/AOCS Investigators, Oncology and Carcinogenesis, ABCTB Investigators, Breast Neoplasms, White People, Body Mass Index, Risk Factors, Clinical Research, Receptors, Breast Cancer, 80 and over, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Oncology & Carcinogenesis, Polymorphism, Aetiology, Medical History Taking, Aged, Cancer, Prevention, Single Nucleotide, Middle Aged, Estrogen, Logistic Models, Case-Control Studies, Female
Abstract: We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.
Published: 2021

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

Author: Kapoor, Pooja Middha, Mavaddat, Nasim, Choudhury, Parichoy Pal, Wilcox, Amber N, Lindström, Sara, Behrens, Sabine, Michailidou, Kyriaki, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Jung, Audrey, Abu-Ful, Zomoroda, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bernstein, Leslie, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chatterjee, Nilanjan, Chenevix-Trench, Georgia, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dai, James Y, Earp, H Shelton, Ekici, Arif B, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gao, Chi, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hatse, Sigrid, Heyworth, Jane, Holleczek, Bernd, Hoover, Robert N, Hopper, John L, Howell, Anthony, Hunter, David J, ABCTB Investigators, kConFab/AOCS Investigators, John, Esther M, Jones, Michael E, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, MacInnis, Robert J, Martinez, Maria Elena, Maurer, Tabea, McLean, Catriona, Neuhausen, Susan L, Newman, William G, Norman, Aaron, O'Brien, Katie M, Olshan, Andrew F, Olson, Janet E, Olsson, Håkan, Orr, Nick, Perou, Charles M, Pita, Guillermo, Polley, Eric C, Prentice, Ross L, Rennert, Gad, Rennert, Hedy S, Ruddy, Kathryn J, Sandler, Dale P, Saunders, Christobel, Schoemaker, Minouk J, Schöttker, Ben, Schumacher, Fredrick, Scott, Christopher, Scott, Rodney J, Shu, Xiao-Ou, Smeets, Ann, Southey, Melissa C, Spinelli, John J, Stone, Jennifer, Swerdlow, Anthony J, Tamimi, Rulla M, Taylor, Jack A, Troester, Melissa A, Vachon, Celine M, van Veen, Elke M, Wang, Xiaoliang, Weinberg, Clarice R, Weltens, Caroline, Willett, Walter, Winham, Stacey J, Wolk, Alicja, Yang, Xiaohong R, Zheng, Wei, Ziogas, Argyrios, Dunning, Alison M, Pharoah, Paul DP, Schmidt, Marjanka K, Kraft, Peter, Easton, Douglas F, Milne, Roger L, García-Closas, Montserrat, Chang-Claude, Jenny, Mavaddat, Nasim [0000-0003-0307-055X], Dennis, Joe [0000-0003-4591-1214], Wang, Jean [0000-0002-9139-0627], Dunning, Alison [0000-0001-6651-7166], Pharoah, Paul [0000-0001-8494-732X], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository
Subjects: Aged, 80 and over, Breast Neoplasms, Middle Aged, Polymorphism, Single Nucleotide, White People, Body Mass Index, Logistic Models, Receptors, Estrogen, Risk Factors, Case-Control Studies, Humans, Female, Genetic Predisposition to Disease, Medical History Taking, Aged
Abstract: We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.
Published: 2021

18. Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association Consortium

Author: Morra, Anna, Jung, Audrey Y, Behrens, Sabine, Keeman, Renske, Ahearn, Thomas U, Anton-Culver, Hoda, Arndt, Volker, Augustinsson, Annelie, Auvinen, Päivi K, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Brenner, Hermann, Briceno, Ignacio, Brucker, Sara Y, Camp, Nicola J, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chanock, Stephen J, Choi, Ji-Yeob, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Easton, Douglas F, Eccles, Diana M, Egan, Kathleen M, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Grip, Mervi, Guénel, Pascal, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Han, Sileny N, Hart, Steven N, Hartman, Mikael, Heyworth, Jane S, Hoppe, Reiner, Hopper, John L, Hunter, David J, Ito, Hidemi, Jager, Agnes, Jakimovska, Milena, Jakubowska, Anna, Janni, Wolfgang, Kaaks, Rudolf, Kang, Daehee, Kapoor, Pooja Middha, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lubiński, Jan, Lush, Michael, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Mariapun, Shivaani, Matsuo, Keitaro, Mavroudis, Dimitrios, Milne, Roger L, Muranen, Taru A, Newman, William G, Noh, Dong-Young, Nordestgaard, Børge G, Obi, Nadia, Olshan, Andrew F, Olsson, Håkan, Park-Simon, Tjoung-Won, Petridis, Christos, Pharoah, Paul DP, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rashid, Muhammad U, Rennert, Gad, Rennert, Hedy S, Rhenius, Valerie, Romero, Atocha, Saloustros, Emmanouil, Sawyer, Elinor J, Schneeweiss, Andreas, Schwentner, Lukas, Scott, Christopher, Shah, Mitul, Shen, Chen-Yang, Shu, Xiao-Ou, Southey, Melissa C, Stram, Daniel O, Tamimi, Rulla M, Tapper, William, Tollenaar, Rob AEM, Tomlinson, Ian, Torres, Diana, Troester, Melissa A, Truong, Thérèse, Vachon, Celine M, Wang, Qin, Wang, Sophia S, Williams, Justin A, Winqvist, Robert, Wolk, Alicja, Wu, Anna H, Yoo, Keun-Young, Yu, Jyh-Cherng, Zheng, Wei, Ziogas, Argyrios, Yang, Xiaohong R, Eliassen, A Heather, Holmes, Michelle D, García-Closas, Montserrat, Teo, Soo Hwang, Schmidt, Marjanka K, Chang-Claude, Jenny, ABCTB Investigators, NBCS Collaborators, Behrens, Sabine [0000-0002-9714-104X], Keeman, Renske [0000-0002-5452-9933], Ahearn, Thomas U [0000-0003-0771-7752], Arndt, Volker [0000-0001-9320-8684], Augustinsson, Annelie [0000-0003-3415-0536], Brenner, Hermann [0000-0002-6129-1572], Camp, Nicola J [0000-0002-4788-1998], Canzian, Federico [0000-0002-4261-4583], Cox, Angela [0000-0002-5138-1099], Dunning, Alison M [0000-0001-6651-7166], Evans, D Gareth [0000-0002-8482-5784], Fasching, Peter A [0000-0003-4885-8471], Gago-Dominguez, Manuela [0000-0001-6713-4351], García-Sáenz, José A [0000-0001-6880-0301], Gaudet, Mia M [0000-0002-6429-4007], Giles, Graham G [0000-0003-4946-9099], Guénel, Pascal [0000-0002-8359-518X], Hall, Per [0000-0002-5640-9126], Hart, Steven N [0000-0001-7714-2734], Hartman, Mikael [0000-0001-5726-9965], Ito, Hidemi [0000-0002-8023-4581], Jager, Agnes [0000-0002-7713-1450], Jakubowska, Anna [0000-0002-5650-0501], Janni, Wolfgang [0000-0001-5911-2400], Kaaks, Rudolf [0000-0003-3751-3929], Kapoor, Pooja Middha [0000-0001-5503-8215], Koutros, Stella [0000-0001-5294-5485], Lambrechts, Diether [0000-0002-3429-302X], Li, Jingmei [0000-0001-8587-7511], Matsuo, Keitaro [0000-0003-1761-6314], Milne, Roger L [0000-0001-5764-7268], Muranen, Taru A [0000-0002-5895-1808], Newman, William G [0000-0002-6382-4678], Park-Simon, Tjoung-Won [0000-0002-2863-3040], Pharoah, Paul DP [0000-0001-8494-732X], Rennert, Gad [0000-0002-8512-068X], Rennert, Hedy S [0000-0001-5772-2977], Rhenius, Valerie [0000-0003-4215-3235], Romero, Atocha [0000-0002-1634-7397], Saloustros, Emmanouil [0000-0002-0485-0120], Schneeweiss, Andreas [0000-0002-2429-4512], Scott, Christopher [0000-0003-1340-0647], Southey, Melissa C [0000-0002-6313-9005], Stram, Daniel O [0000-0001-7099-9022], Tamimi, Rulla M [0000-0003-2306-8668], Tomlinson, Ian [0000-0003-3037-1470], Torres, Diana [0000-0002-9879-9775], Vachon, Celine M [0000-0002-1962-9322], Wolk, Alicja [0000-0001-7387-6845], Ziogas, Argyrios [0000-0003-4529-3727], Holmes, Michelle D [0000-0002-8664-2172], García-Closas, Montserrat [0000-0003-1033-2650], Teo, Soo Hwang [0000-0002-0444-590X], Schmidt, Marjanka K [0000-0002-2228-429X], Chang-Claude, Jenny [0000-0001-8919-1971], and Apollo - University of Cambridge Repository
Subjects: Adult, Risk Factors, Cause of Death, Humans, Breast Neoplasms, Female, Neoplasm Invasiveness, Prospective Studies, Middle Aged, Life Style, Survival Analysis, Aged, Neoplasm Staging
Abstract: BACKGROUND: It is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype. METHODS: We analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer-specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype. RESULTS: There was no evidence of heterogeneous associations between risk factors and mortality by subtype (P adj > 0.30). The strongest associations were between all-cause mortality and BMI ≥30 versus 18.5-25 kg/m2 [HR (95% confidence interval (CI), 1.19 (1.06-1.34)]; current versus never smoking [1.37 (1.27-1.47)], high versus low physical activity [0.43 (0.21-0.86)], age ≥30 years versus 0
Published: 2021
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19. CYP3A7*1C allele: linking premenopausal oestrone and progesterone levels with risk of hormone receptor-positive breast cancers

Author: Johnson, Nichola, Maguire, Sarah, Morra, Anna, Kapoor, Pooja Middha, Tomczyk, Katarzyna, Jones, Michael E, Schoemaker, Minouk J, Gilham, Clare, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baynes, Caroline, Freeman, Laura E Beane, Beckmann, Matthias W, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Boeckx, Bram, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, NBCS Collaborators, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dörk, Thilo, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Floris, Giuseppe, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, AOCS Group, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Harrington, Patricia A, Hart, Steven N, Hooning, Maartje J, Hopper, John L, Howell, Anthony, Hunter, David J, ABCTB Investigators, kConFab Investigators, Jager, Agnes, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Linet, Martha, Lubiński, Jan, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Martens, John WM, Mavroudis, Dimitrios, Mayes, Rebecca, Meindl, Alfons, Milne, Roger L, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, and Nielsen, Sune F
Subjects: Aging, Estrone, Oncology and Carcinogenesis, ABCTB Investigators, Breast Neoplasms, NBCS Collaborators, Clinical Research, Receptors, Breast Cancer, Genetics, Humans, Cytochrome P-450 CYP3A, 2.1 Biological and endogenous factors, Oncology & Carcinogenesis, Polymorphism, Aetiology, Progesterone, Alleles, Cancer, Human Genome, Single Nucleotide, AOCS Group, Estrogen, Premenopause, Case-Control Studies, Public Health and Health Services, Pregnanediol, kConFab Investigators, Female, Genome-Wide Association Study
Abstract: BackgroundEpidemiological studies provide strong evidence for a role of endogenous sex hormones in the aetiology of breast cancer. The aim of this analysis was to identify genetic variants that are associated with urinary sex-hormone levels and breast cancer risk.MethodsWe carried out a genome-wide association study of urinary oestrone-3-glucuronide and pregnanediol-3-glucuronide levels in 560 premenopausal women, with additional analysis of progesterone levels in 298 premenopausal women. To test for the association with breast cancer risk, we carried out follow-up genotyping in 90,916 cases and 89,893 controls from the Breast Cancer Association Consortium. All women were of European ancestry.ResultsFor pregnanediol-3-glucuronide, there were no genome-wide significant associations; for oestrone-3-glucuronide, we identified a single peak mapping to the CYP3A locus, annotated by rs45446698. The minor rs45446698-C allele was associated with lower oestrone-3-glucuronide (-49.2%, 95% CI -56.1% to -41.1%, P = 3.1 × 10-18); in follow-up analyses, rs45446698-C was also associated with lower progesterone (-26.7%, 95% CI -39.4% to -11.6%, P = 0.001) and reduced risk of oestrogen and progesterone receptor-positive breast cancer (OR = 0.86, 95% CI 0.82-0.91, P = 6.9 × 10-8).ConclusionsThe CYP3A7*1C allele is associated with reduced risk of hormone receptor-positive breast cancer possibly mediated via an effect on the metabolism of endogenous sex hormones in premenopausal women.
Published: 2021

20. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction

Author: Conti, David V, Darst, Burcu F, Moss, Lilit C, Saunders, Edward J, Sheng, Xin, Chou, Alisha, Schumacher, Fredrick R, Olama, Ali Amin Al, Benlloch, Sara, Dadaev, Tokhir, Brook, Mark N, Sahimi, Ali, Hoffmann, Thomas J, Takahashi, Atushi, Matsuda, Koichi, Momozawa, Yukihide, Fujita, Masashi, Muir, Kenneth, Lophatananon, Artitaya, Wan, Peggy, Le Marchand, Loic, Wilkens, Lynne R, Stevens, Victoria L, Gapstur, Susan M, Carter, Brian D, Schleutker, Johanna, Tammela, Teuvo LJ, Sipeky, Csilla, Auvinen, Anssi, Giles, Graham G, Southey, Melissa C, MacInnis, Robert J, Cybulski, Cezary, Wokołorczyk, Dominika, Lubiński, Jan, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Martin, Richard M, Nordestgaard, Børge G, Nielsen, Sune F, Weischer, Maren, Bojesen, Stig E, Røder, Martin Andreas, Iversen, Peter, Batra, Jyotsna, Chambers, Suzanne, Moya, Leire, Horvath, Lisa, Clements, Judith A, Tilley, Wayne, Risbridger, Gail P, Gronberg, Henrik, Aly, Markus, Szulkin, Robert, Eklund, Martin, Nordström, Tobias, Pashayan, Nora, Dunning, Alison M, Ghoussaini, Maya, Travis, Ruth C, Key, Tim J, Riboli, Elio, Park, Jong Y, Sellers, Thomas A, Lin, Hui-Yi, Albanes, Demetrius, Weinstein, Stephanie J, Mucci, Lorelei A, Giovannucci, Edward, Lindstrom, Sara, Kraft, Peter, Hunter, David J, Penney, Kathryn L, Turman, Constance, Tangen, Catherine M, Goodman, Phyllis J, Thompson, Ian M, Hamilton, Robert J, Fleshner, Neil E, Finelli, Antonio, Parent, Marie-Élise, Stanford, Janet L, Ostrander, Elaine A, Geybels, Milan S, Koutros, Stella, Freeman, Laura E Beane, Stampfer, Meir, Wolk, Alicja, Håkansson, Niclas, Andriole, Gerald L, Hoover, Robert N, Machiela, Mitchell J, Sørensen, Karina Dalsgaard, Borre, Michael, Blot, William J, Zheng, Wei, Yeboah, Edward D, Mensah, James E, and Lu, Yong-Jie
Subjects: Male, Urologic Diseases, Aging, Quantitative Trait Loci, Medical and Health Sciences, Risk Factors, Clinical Research, Odds Ratio, Genetics, Humans, 2.1 Biological and endogenous factors, Neoplasm Invasiveness, Genetic Predisposition to Disease, Aetiology, Cancer, Prevention, Prostate Cancer, Racial Groups, Human Genome, Prostatic Neoplasms, Molecular Sequence Annotation, Genomics, Middle Aged, Biological Sciences, Phenotype, Good Health and Well Being, Genetic Loci, Software, Genome-Wide Association Study, Statistical Distributions, Developmental Biology
Abstract: Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction.
Published: 2021

21. Additional file 1 of Multi-centre randomised controlled trial comparing arthroscopic hip surgery to physiotherapist-led care for femoroacetabular impingement (FAI) syndrome on hip cartilage metabolism: the Australian FASHIoN trial

Author: Hunter, David J., Eyles, Jillian, Murphy, Nicholas J., Spiers, Libby, Burns, Alexander, Davidson, Emily, Dickenson, Edward, Fary, Camdon, Foster, Nadine E., Fripp, Jurgen, Griffin, Damian R., Hall, Michelle, Kim, Young Jo, Linklater, James M., Molnar, Robert, Neubert, Ales, O’Connell, Rachel L., O’Donnell, John, O’Sullivan, Michael, Randhawa, Sunny, Reichenbach, Stephan, Schmaranzer, Florian, Singh, Parminder, Tran, Phong, Wilson, David, Zhang, Honglin, and Bennell, Kim L.
Abstract: Additional file 1: Appendix 1. CONSORT Checklist. Appendix 2. MRI missing data. Appendix 3. Details on rationale for reduced sample size. Appendix 4. Statistical analysis plan. Appendix 5. Protocol.
Published: 2021
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22. sj-pdf-2-hpi-10.1177_11207000211038550 – Supplemental material for Which hip morphology measures and patient factors are associated with age of onset and symptom severity in femoroacetabular impingement syndrome?

Author: Murphy, Nicholas J, Diamond, Laura E, Bennell, Kim L, Burns, Alexander, Dickenson, Edward, Eyles, Jillian, Fary, Camdon, Grieve, Stuart M, Griffin, Damian R, Kim, Young Jo, Linklater, James M, Lloyd, David G, Molnar, Robert, O’Connell, Rachel L, O’Donnell, John, Randhawa, Sunny, J Singh, Parminder, Spiers, Libby, Tran, Phong, Wrigley, Tim, and Hunter, David J
Subjects: FOS: Clinical medicine, 110604 Sports Medicine, FOS: Health sciences, 110314 Orthopaedics
Abstract: Supplemental material, sj-pdf-2-hpi-10.1177_11207000211038550 for Which hip morphology measures and patient factors are associated with age of onset and symptom severity in femoroacetabular impingement syndrome? by Nicholas J Murphy, Laura E Diamond, Kim L Bennell, Alexander Burns, Edward Dickenson, Jillian Eyles, Camdon Fary, Stuart M Grieve, Damian R Griffin, Young Jo Kim, James M Linklater, David G Lloyd, Robert Molnar, Rachel L O’Connell, John O’Donnell, Sunny Randhawa, Parminder J Singh, Libby Spiers, Phong Tran, Tim Wrigley and David J Hunter in HIP International
Published: 2021
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23. Additional file 2 of Monitoring work-related physical activity and estimating lower-limb loading: a proof-of-concept study

Author: Wang, Xia, Perry, Thomas A, Caroupapoullé, Jimmy, Forrester, Alexander, Arden, Nigel K, and Hunter, David J
Subjects: Data_FILES
Abstract: Additional file 2
Published: 2021
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24. sj-pdf-1-hpi-10.1177_11207000211038550 – Supplemental material for Which hip morphology measures and patient factors are associated with age of onset and symptom severity in femoroacetabular impingement syndrome?

Author: Murphy, Nicholas J, Diamond, Laura E, Bennell, Kim L, Burns, Alexander, Dickenson, Edward, Eyles, Jillian, Fary, Camdon, Grieve, Stuart M, Griffin, Damian R, Kim, Young Jo, Linklater, James M, Lloyd, David G, Molnar, Robert, O’Connell, Rachel L, O’Donnell, John, Randhawa, Sunny, J Singh, Parminder, Spiers, Libby, Tran, Phong, Wrigley, Tim, and Hunter, David J
Subjects: FOS: Clinical medicine, 110604 Sports Medicine, FOS: Health sciences, 110314 Orthopaedics
Abstract: Supplemental material, sj-pdf-1-hpi-10.1177_11207000211038550 for Which hip morphology measures and patient factors are associated with age of onset and symptom severity in femoroacetabular impingement syndrome? by Nicholas J Murphy, Laura E Diamond, Kim L Bennell, Alexander Burns, Edward Dickenson, Jillian Eyles, Camdon Fary, Stuart M Grieve, Damian R Griffin, Young Jo Kim, James M Linklater, David G Lloyd, Robert Molnar, Rachel L O’Connell, John O’Donnell, Sunny Randhawa, Parminder J Singh, Libby Spiers, Phong Tran, Tim Wrigley and David J Hunter in HIP International
Published: 2021
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25. Additional file 2 of Multi-centre randomised controlled trial comparing arthroscopic hip surgery to physiotherapist-led care for femoroacetabular impingement (FAI) syndrome on hip cartilage metabolism: the Australian FASHIoN trial

Author: Hunter, David J., Eyles, Jillian, Murphy, Nicholas J., Spiers, Libby, Burns, Alexander, Davidson, Emily, Dickenson, Edward, Fary, Camdon, Foster, Nadine E., Fripp, Jurgen, Griffin, Damian R., Hall, Michelle, Kim, Young Jo, Linklater, James M., Molnar, Robert, Neubert, Ales, O’Connell, Rachel L., O’Donnell, John, O’Sullivan, Michael, Randhawa, Sunny, Reichenbach, Stephan, Schmaranzer, Florian, Singh, Parminder, Tran, Phong, Wilson, David, Zhang, Honglin, and Bennell, Kim L.
Abstract: Additional file 2: Supplementary Table 1. FASHION Per-protocol analysis: dGEMRIC (ms): Change from Baseline (B) and 12 month (12M) assessments (N=39). Supplementary Table 2. dGEMRIC (ms) Combined: Change from Baseline (B) and 12 month (12M) assessments (N=53). Subgroup analysis FAI type. Supplementary Table 3. FASHION: dGEMRIC (ms) Combined: Change from Baseline (B) and 12 month (12M) assessments (N=53). Supplementary Table 4. FASHION: dGEMRIC (ms) Combined: Change from Baseline (B) and 12 month (12M) assessments (N=50). Supplementary Table 5. dGEMRIC Combined (ms): Change from Baseline (B) and 12 month (12M) assessments (N=53). Subgroup analysis: Public vs Private. Supplementary Table 6. Intervention Fidelity. Supplementary Table 7. All patient-reported adverse events n (%). Supplementary Table 8. FASHION: Comparison of Baseline Characteristics for patients with dGEMRIC data vs missing (N=99). Supplementary Table 9. Baseline MRI HOAMS features. Numbers are n (%).
Published: 2021
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26. Additional file 1 of Exercise therapy and patient education versus intra-articular saline injections in the treatment of knee osteoarthritis: an evidence-based protocol for an open-label randomised controlled trial (the DISCO trial)

Author: Bandak, Elisabeth, Overgaard, Anders F., Kristensen, Lars Erik, Ellegaard, Karen, Guldberg-Møller, Jørgen, Bartholdy, Cecilie, Hunter, David J., Altman, Roy D., Christensen, Robin, Bliddal, Henning, and Henriksen, Marius
Abstract: Additional file 1. THE DISCO TRIAL SPIRIT 2013 Checklist.
Published: 2021
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27. Additional file 1 of Monitoring work-related physical activity and estimating lower-limb loading: a proof-of-concept study

Author: Wang, Xia, Perry, Thomas A, Caroupapoullé, Jimmy, Forrester, Alexander, Arden, Nigel K, and Hunter, David J
Subjects: Data_FILES
Abstract: Additional file 1
Published: 2021
Full Text: View/download PDF

28. sj-pdf-2-hpi-10.1177_11207000211038550 – Supplemental material for Which hip morphology measures and patient factors are associated with age of onset and symptom severity in femoroacetabular impingement syndrome?

Author: Murphy, Nicholas J, Diamond, Laura E, Bennell, Kim L, Burns, Alexander, Dickenson, Edward, Eyles, Jillian, Fary, Camdon, Grieve, Stuart M, Griffin, Damian R, Kim, Young Jo, Linklater, James M, Lloyd, David G, Molnar, Robert, O’Connell, Rachel L, O’Donnell, John, Randhawa, Sunny, J Singh, Parminder, Spiers, Libby, Tran, Phong, Wrigley, Tim, and Hunter, David J
Subjects: FOS: Clinical medicine, 110604 Sports Medicine, FOS: Health sciences, 110314 Orthopaedics
Abstract: Supplemental material, sj-pdf-2-hpi-10.1177_11207000211038550 for Which hip morphology measures and patient factors are associated with age of onset and symptom severity in femoroacetabular impingement syndrome? by Nicholas J Murphy, Laura E Diamond, Kim L Bennell, Alexander Burns, Edward Dickenson, Jillian Eyles, Camdon Fary, Stuart M Grieve, Damian R Griffin, Young Jo Kim, James M Linklater, David G Lloyd, Robert Molnar, Rachel L O’Connell, John O’Donnell, Sunny Randhawa, Parminder J Singh, Libby Spiers, Phong Tran, Tim Wrigley and David J Hunter in HIP International
Published: 2021
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29. Four Weeks of Omega-3 Supplementation does not Improve Cycling Time Trial Performance in Trained Cyclists

Author: Reynolds James C, Rosser Tomos G, Wadley Alex J, Mastana Sarabjit S, James Lynsey S, Hunter David J, Gyimah Boakye, and Lindley Martin R
Subjects: Psychiatry and Mental health, medicine.medical_specialty, Time trial, business.industry, Physical therapy, medicine, Cycling, business, Omega
Published: 2020
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30. An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk

Author: Wu, Lang, Yang, Yaohua, Guo, Xingyi, Shu, Xiao-Ou, Cai, Qiuyin, Shu, Xiang, Li, Bingshan, Tao, Ran, Wu, Chong, Nikas, Jason B., Sun, Yanfa, Zhu, Jingjing, Brenner, Hermann, John, Esther M., Clements, Judith, Grindedal, Eli Marie, Stanford, Janet L., Kote-Jarai, Zsofia, Haiman, Christopher A., Zheng, Wei, Long, Jirong, Eeles, Rosalind A., Henderson, Brian E., Schumacher, Fredrick R., Easton, Douglas, Benlloch, Sara, Olama, Ali Amin Al, Muir, Kenneth, Berndt, Sonja I., Conti, David V., Wiklund, Fredrik, Chanock, Stephen, Gapstur, Susan M., Stevens, Victoria L., Tangen, Catherine M., Batra, Jyotsna, Gronberg, Henrik, Pashayan, Nora, Schleutker, Johanna, Albanes, Demetrius, Weinstein, Stephanie, Wolk, Alicja, West, Catharine, Mucci, Lorelei, Cancel-Tassin, Géraldine, Koutros, Stella, Sorensen, Karina Dalsgaard, Neal, David E., Hamdy, Freddie C., Donovan, Jenny L., Travis, Ruth C., Hamilton, Robert J., Ingles, Sue Ann, Rosenstein, Barry S., Lu, Yong-Jie, Giles, Graham G., Kibel, Adam S., Vega, Ana, Kogevinas, Manolis, Penney, Kathryn L., Park, Jong Y., Cybulski, Cezary, Nordestgaard, Børge G., Maier, Christiane, Kim, Jeri, Teixeira, Manuel R., Neuhausen, Susan L., De Ruyck, Kim, Razack, Azad, Newcomb, Lisa F., Gamulin, Marija, Kaneva, Radka, Usmani, Nawaid, Claessens, Frank, Townsend, Paul A., Dominguez, Manuela Gago, Roobol, Monique J., Menegaux, Florence, Khaw, Kay-Tee, Cannon-Albright, Lisa, Pandha, Hardev, Thibodeau, Stephen N., Hunter, David J., Blot, William J., Riboli, Elio, Li, Bingshan [0000-0003-2129-168X], Wu, Chong [0000-0002-8400-1785], Nikas, Jason B. [0000-0001-9703-0422], Roobol, Monique J. [0000-0001-6967-1708], Giles, Graham G. [0000-0003-4946-9099], Park, Jong Y. [0000-0002-6384-6447], Eeles, Rosalind A. [0000-0002-3698-6241], Zheng, Wei [0000-0003-1226-070X], and Apollo - University of Cambridge Repository
Subjects: 631/208, 631/67/68, article, 631/67/2324, urologic and male genital diseases
Abstract: It remains elusive whether some of the associations identified in genome-wide association studies of prostate cancer (PrCa) may be due to regulatory effects of genetic variants on CpG sites, which may further influence expression of PrCa target genes. To search for CpG sites associated with PrCa risk, here we establish genetic models to predict methylation (N = 1,595) and conduct association analyses with PrCa risk (79,194 cases and 61,112 controls). We identify 759 CpG sites showing an association, including 15 located at novel loci. Among those 759 CpG sites, methylation of 42 is associated with expression of 28 adjacent genes. Among 22 genes, 18 show an association with PrCa risk. Overall, 25 CpG sites show consistent association directions for the methylation-gene expression-PrCa pathway. We identify DNA methylation biomarkers associated with PrCa, and our findings suggest that specific CpG sites may influence PrCa via regulating expression of candidate PrCa target genes.
Published: 2020
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31. Germline HOXB13 mutations p.G84E and p.R217C do not confer an increased breast cancer risk

Author: Liu, Jingjing, Prager-van der Smissen, Wendy JC, Collée, J Margriet, Bolla, Manjeet K, Wang, Qin, Michailidou, Kyriaki, Dennis, Joe, Ahearn, Thomas U, Aittomäki, Kristiina, Ambrosone, Christine B, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Augustinsson, Annelie, Auvinen, Päivi, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bermisheva, Marina, Bernstein, Leslie, Bogdanova, Natalia V, Bogdanova-Markov, Nadja, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Cai, Qiuyin, Cai, Hui, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Christiaens, Melissa, Clarke, Christine L, NBCS Collaborators, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Fritschi, Lin, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, Goldgar, David E, Guénel, Pascal, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Harrington, Patricia A, Hart, Steven N, Hartman, Mikael, Hillemanns, Peter, Hopper, John L, Hou, Ming-Feng, Hunter, David J, Huo, Dezheng, ABCTB Investigators, Ito, Hidemi, Iwasaki, Motoki, Jakimovska, Milena, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Kang, Daehee, Keeman, Renske, Khusnutdinova, Elza, Kim, Sung-Won, Kraft, Peter, Kristensen, Vessela N, Kurian, Allison W, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lophatananon, Artitaya, Luben, Robert N, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, and Mariapun, Shivaani
Subjects: Homeodomain Proteins, Aging, screening and diagnosis, Genotyping Techniques, Prevention, ABCTB Investigators, Breast Neoplasms, Middle Aged, 4.1 Discovery and preclinical testing of markers and technologies, NBCS Collaborators, Detection, Risk Factors, Clinical Research, Breast Cancer, Genetics, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Female, Aetiology, skin and connective tissue diseases, Germ-Line Mutation, Cancer
Abstract: In breast cancer, high levels of homeobox protein Hox-B13 (HOXB13) have been associated with disease progression of ER-positive breast cancer patients and resistance to tamoxifen treatment. Since HOXB13 p.G84E is a prostate cancer risk allele, we evaluated the association between HOXB13 germline mutations and breast cancer risk in a previous study consisting of 3,270 familial non-BRCA1/2 breast cancer cases and 2,327 controls from the Netherlands. Although both recurrent HOXB13 mutations p.G84E and p.R217C were not associated with breast cancer risk, the risk estimation for p.R217C was not very precise. To provide more conclusive evidence regarding the role of HOXB13 in breast cancer susceptibility, we here evaluated the association between HOXB13 mutations and increased breast cancer risk within 81 studies of the international Breast Cancer Association Consortium containing 68,521 invasive breast cancer patients and 54,865 controls. Both HOXB13 p.G84E and p.R217C did not associate with the development of breast cancer in European women, neither in the overall analysis (OR = 1.035, 95% CI = 0.859-1.246, P = 0.718 and OR = 0.798, 95% CI = 0.482-1.322, P = 0.381 respectively), nor in specific high-risk subgroups or breast cancer subtypes. Thus, although involved in breast cancer progression, HOXB13 is not a material breast cancer susceptibility gene.
Published: 2020

32. Germline HOXB13 mutations p.G84E and p.R217C do not confer an increased breast cancer risk

Author: Liu, Jingjing, Prager - van der Smissen, Wendy J. C., Collée, J. Margriet, Bolla, Manjeet K., Wang, Qin, Michailidou, Kyriaki, Dennis, Joe, Ahearn, Thomas U., Aittomäki, Kristiina, Ambrosone, Christine B., Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Arndt, Volker, Arnold, Norbert, Aronson, Kristan J., Augustinsson, Annelie, Auvinen, Päivi, Becher, Heiko, Beckmann, Matthias W., Behrens, Sabine, Bermisheva, Marina, Bernstein, Leslie, Bogdanova, Natalia V., Bogdanova-Markov, Nadja, Bojesen, Stig E., Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Brucker, Sara Y., Brüning, Thomas, Burwinkel, Barbara, Cai, Qiuyin, Cai, Hui, Campa, Daniele, Canzian, Federico, Castelao, Jose E., Chang-Claude, Jenny, Chanock, Stephen J., Choi, Ji-Yeob, Christiaens, Melissa, Clarke, Christine L., Couch, Fergus J., Czene, Kamila, Daly, Mary B., Devilee, Peter, dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M., Eliassen, A. Heather, Fasching, Peter A., Figueroa, Jonine, Flyger, Henrik, Fritschi, Lin, Gago-Dominguez, Manuela, Gapstur, Susan M., García-Closas, Montserrat, García-Sáenz, José A., Gaudet, Mia M., Giles, Graham G., Goldberg, Mark S., Goldgar, David E., Guénel, Pascal, Haiman, Christopher A., Håkansson, Niclas, Hall, Per, Harrington, Patricia A., Hart, Steven N., Hartman, Mikael, Hillemanns, Peter, Hopper, John L., Hou, Ming-Feng, Hunter, David J., Huo, Dezheng, Ito, Hidemi, Iwasaki, Motoki, Jakimovska, Milena, Jakubowska, Anna, John, Esther M., Kaaks, Rudolf, Kang, Daehee, Keeman, Renske, Khusnutdinova, Elza, Kim, Sung-Won, Kraft, Peter, Kristensen, Vessela N., Kurian, Allison W., Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lophatananon, Artitaya, Luben, Robert N., Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Mariapun, Shivaani, Matsuo, Keitaro, Maurer, Tabea, Mavroudis, Dimitrios, Meindl, Alfons, Menon, Usha, Milne, Roger L., Muir, Kenneth, Mulligan, Anna Marie, Neuhausen, Susan L., Nevanlinna, Heli, Offit, Kenneth, Olopade, Olufunmilayo I., Olson, Janet E., Olsson, Håkan, Orr, Nick, Park, Sue K., Peterlongo, Paolo, Peto, Julian, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rack, Brigitte, Rau-Murthy, Rohini, Rennert, Gad, Rennert, Hedy S., Rhenius, Valerie, Romero, Atocha, Ruebner, Matthias, Saloustros, Emmanouil, Schmutzler, Rita K., Schneeweiss, Andreas, Scott, Christopher, Shah, Mitul, Shen, Chen-Yang, Shu, Xiao-Ou, Simard, Jacques, Sohn, Christof, Southey, Melissa C., Spinelli, John J., Tamimi, Rulla M., Tapper, William J., Teo, Soo H., Terry, Mary Beth, Torres, Diana, Truong, Thérèse, Untch, Michael, Vachon, Celine M., van Asperen, Christi J., Wolk, Alicja, Yamaji, Taiki, Zheng, Wei, Ziogas, Argyrios, Ziv, Elad, Torres-Mejía, Gabriela, Dörk, Thilo, Swerdlow, Anthony J., Hamann, Ute, Schmidt, Marjanka K., Dunning, Alison M., Pharoah, Paul D. P., Easton, Douglas F., Hooning, Maartje J., Martens, John W. M., Hollestelle, Antoinette, Sahlberg, Kristine K., Børresen-Dale, Anne-Lise, Ottestad, Lars, Kåresen, Rolf, Schlichting, Ellen, Holmen, Marit Muri, Sauer, Toril, Haakensen, Vilde, Engebråten, Olav, Naume, Bjørn, Fosså, Alexander, Kiserud, Cecile E., Reinertsen, Kristin V., Helland, Åslaug, Riis, Margit, Geisler, Jürgen, Alnæs, Grethe I. Grenaker, Bathen, Tone F., Borgen, Elin, Fritzman, Britt, Garred, Øystein, Geitvik, Gry Aarum, Hofvind, Solveig, Langerød, Anita, Lingjærde, Ole Christian, Mælandsmo, Gunhild Mari, Russnes, Hege G, Skjerven, Helle Kristine, Sørlie, Therese, Clarke, Christine, Marsh, Deborah, Scott, Rodney, Baxter, Robert, Yip, Desmond, Carpenter, Jane, Davis, Alison, Pathmanathan, Nirmala, Simpson, Peter, Graham, Dinny, Sachchithananthan, Mythily, and Apollo - University of Cambridge Repository
Subjects: 631/67, 631/208, article, skin and connective tissue diseases, 692/499, 692/4028
Abstract: In breast cancer, high levels of homeobox protein Hox-B13 (HOXB13) have been associated with disease progression of ER-positive breast cancer patients and resistance to tamoxifen treatment. Since HOXB13 p.G84E is a prostate cancer risk allele, we evaluated the association between HOXB13 germline mutations and breast cancer risk in a previous study consisting of 3,270 familial non-BRCA1/2 breast cancer cases and 2,327 controls from the Netherlands. Although both recurrent HOXB13 mutations p.G84E and p.R217C were not associated with breast cancer risk, the risk estimation for p.R217C was not very precise. To provide more conclusive evidence regarding the role of HOXB13 in breast cancer susceptibility, we here evaluated the association between HOXB13 mutations and increased breast cancer risk within 81 studies of the international Breast Cancer Association Consortium containing 68,521 invasive breast cancer patients and 54,865 controls. Both HOXB13 p.G84E and p.R217C did not associate with the development of breast cancer in European women, neither in the overall analysis (OR = 1.035, 95% CI = 0.859–1.246, P = 0.718 and OR = 0.798, 95% CI = 0.482–1.322, P = 0.381 respectively), nor in specific high-risk subgroups or breast cancer subtypes. Thus, although involved in breast cancer progression, HOXB13 is not a material breast cancer susceptibility gene.
Published: 2020

33. A network analysis to identify mediators of germline-driven differences in breast cancer prognosis

Author: Escala-Garcia, Maria, Abraham, Jean, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Ashworth, Alan, Auer, Paul L, Auvinen, Päivi, Beckmann, Matthias W, Beesley, Jonathan, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Blot, William, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brucker, Sara Y, Burwinkel, Barbara, Caldas, Carlos, Canzian, Federico, Chang-Claude, Jenny, Chanock, Stephen J, Chin, Suet-Feung, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Devilee, Peter, Dunn, Janet A, Dunning, Alison M, Dwek, Miriam, Earl, Helena M, Eccles, Diana M, Eliassen, A Heather, Ellberg, Carolina, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, George, Angela, Giles, Graham G, Goldgar, David E, González-Neira, Anna, Grip, Mervi, Guénel, Pascal, Guo, Qi, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Harrington, Patricia A, Hiller, Louise, Hooning, Maartje J, Hopper, John L, Howell, Anthony, Huang, Chiun-Sheng, Huang, Guanmengqian, Hunter, David J, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Kapoor, Pooja Middha, Keeman, Renske, Kitahara, Cari M, Koppert, Linetta B, Kraft, Peter, Kristensen, Vessela N, Lambrechts, Diether, Le Marchand, Loic, Lejbkowicz, Flavio, Lindblom, Annika, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Maria Elena, Maurer, Tabea, Mavroudis, Dimitrios, Meindl, Alfons, Milne, Roger L, Mulligan, Anna Marie, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Olshan, Andrew F, Olson, Janet E, and Olsson, Håkan
Subjects: Gq-G11, screening and diagnosis, Genotype, Computational Biology, Genetic Variation, Breast Neoplasms, Apoptosis, Prognosis, Estrogen, GTP-Binding Protein alpha Subunits, 4.1 Discovery and preclinical testing of markers and technologies, Detection, Germ Cells, Circadian Clocks, Receptors, Breast Cancer, Genetics, Humans, 2.1 Biological and endogenous factors, Female, Gene Regulatory Networks, Aetiology, Signal Transduction, Genome-Wide Association Study, Cancer
Abstract: Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies ~7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effects of genetic variants across multiple genes, we identify four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease. The modules show biological enrichment for cancer-related processes such as G-alpha signaling, circadian clock, angiogenesis, and Rho-GTPases in apoptosis.
Published: 2020

34. Additional file 4 of Collaborative model of care between Orthopaedics and allied healthcare professionals in knee osteoarthritis (CONNACT): study protocol for an effectiveness-implementation hybrid randomized control trial

Author: Tan, Bryan Yijia, Pereira, Michelle Jessica, Su-Yin Yang, Hunter, David J., Soren Thorgaard Skou, Thumboo, Julian, and Car, Josip
Abstract: Appendix 4 – SPIRIT diagram. (DOC 74 kb)
Published: 2020
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35. Additional file 2 of Collaborative model of care between Orthopaedics and allied healthcare professionals in knee osteoarthritis (CONNACT): study protocol for an effectiveness-implementation hybrid randomized control trial

Author: Tan, Bryan Yijia, Pereira, Michelle Jessica, Su-Yin Yang, Hunter, David J., Soren Thorgaard Skou, Thumboo, Julian, and Car, Josip
Subjects: body regions, nervous system, fungi
Abstract: Appendi× 2 – Patient Reported Exercise Compliance Questionnaire. (PDF 265 kb)
Published: 2020
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36. Additional file 3 of Collaborative model of care between Orthopaedics and allied healthcare professionals in knee osteoarthritis (CONNACT): study protocol for an effectiveness-implementation hybrid randomized control trial

Author: Tan, Bryan Yijia, Pereira, Michelle Jessica, Su-Yin Yang, Hunter, David J., Soren Thorgaard Skou, Thumboo, Julian, and Car, Josip
Abstract: Appendi× 3 – Cost Questionnaire. (DOCX 43 kb)
Published: 2020
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37. Additional file 5 of Collaborative model of care between Orthopaedics and allied healthcare professionals in knee osteoarthritis (CONNACT): study protocol for an effectiveness-implementation hybrid randomized control trial

Author: Tan, Bryan Yijia, Pereira, Michelle Jessica, Su-Yin Yang, Hunter, David J., Soren Thorgaard Skou, Thumboo, Julian, and Car, Josip
Abstract: Appendix 5 – SPIRIT checklist. (DOC 124 kb)
Published: 2020
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38. Additional file 1 of Collaborative model of care between Orthopaedics and allied healthcare professionals in knee osteoarthritis (CONNACT): study protocol for an effectiveness-implementation hybrid randomized control trial

Author: Tan, Bryan Yijia, Pereira, Michelle Jessica, Su-Yin Yang, Hunter, David J., Soren Thorgaard Skou, Thumboo, Julian, and Car, Josip
Abstract: Appendix 1 – Intervention Description. (DOCX 26 kb)
Published: 2020
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39. Associations of obesity and circulating insulin and glucose with breast cancer risk: a Mendelian randomization analysis

Author: Shu, Xiang, Wu, Lang, Khankari, Nikhil K, Shu, Xiao-Ou, Wang, Thomas J, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Milne, Roger L, Schmidt, Marjanka K, Pharoah, Paul DP, Andrulis, Irene L, Hunter, David J, Simard, Jacques, Easton, Douglas F, Zheng, Wei, Breast Cancer Association Consortium, Dennis, Joe [0000-0003-4591-1214], Pharoah, Paul [0000-0001-8494-732X], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository
Subjects: Blood Glucose, Adult, insulin, obesity, Aging, Epidemiology, Mendelian randomization analysis, Breast Neoplasms, Body Mass Index, Breast cancer, Clinical Research, Diabetes Mellitus, Genetics, Humans, 2.1 Biological and endogenous factors, genetics, Abdominal, glucose, Aetiology, Metabolic and endocrine, Aged, Cancer, Nutrition, Waist-Hip Ratio, Prevention, Diabetes, Statistics, Middle Aged, Diabetes Mellitus, Type 2, Obesity, Abdominal, Breast Cancer Association Consortium, Public Health and Health Services, Female, Type 2
Abstract: BACKGROUND: In addition to the established association between general obesity and breast cancer risk, central obesity and circulating fasting insulin and glucose have been linked to the development of this common malignancy. Findings from previous studies, however, have been inconsistent, and the nature of the associations is unclear. METHODS: We conducted Mendelian randomization analyses to evaluate the association of breast cancer risk, using genetic instruments, with fasting insulin, fasting glucose, 2-h glucose, body mass index (BMI) and BMI-adjusted waist-hip-ratio (WHRadj BMI). We first confirmed the association of these instruments with type 2 diabetes risk in a large diabetes genome-wide association study consortium. We then investigated their associations with breast cancer risk using individual-level data obtained from 98 842 cases and 83 464 controls of European descent in the Breast Cancer Association Consortium. RESULTS: All sets of instruments were associated with risk of type 2 diabetes. Associations with breast cancer risk were found for genetically predicted fasting insulin [odds ratio (OR) = 1.71 per standard deviation (SD) increase, 95% confidence interval (CI) = 1.26-2.31, p = 5.09 × 10-4], 2-h glucose (OR = 1.80 per SD increase, 95% CI = 1.3 0-2.49, p = 4.02 × 10-4), BMI (OR = 0.70 per 5-unit increase, 95% CI = 0.65-0.76, p = 5.05 × 10-19) and WHRadj BMI (OR = 0.85, 95% CI = 0.79-0.91, p = 9.22 × 10-6). Stratified analyses showed that genetically predicted fasting insulin was more closely related to risk of estrogen-receptor [ER]-positive cancer, whereas the associations with instruments of 2-h glucose, BMI and WHRadj BMI were consistent regardless of age, menopausal status, estrogen receptor status and family history of breast cancer. CONCLUSIONS: We confirmed the previously reported inverse association of genetically predicted BMI with breast cancer risk, and showed a positive association of genetically predicted fasting insulin and 2-h glucose and an inverse association of WHRadj BMI with breast cancer risk. Our study suggests that genetically determined obesity and glucose/insulin-related traits have an important role in the aetiology of breast cancer.
Published: 2019

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

Author: Escala-Garcia, Maria, Guo, Qi, Dörk, Thilo, Canisius, Sander, Keeman, Renske, Dennis, Joe, Beesley, Jonathan, Lecarpentier, Julie, Bolla, Manjeet K, Wang, Qin, Abraham, Jean, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Boeckx, Bram, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brentnall, Adam, Brinton, Louise, Broberg, Per, Brock, Ian W, Brucker, Sara Y, Burwinkel, Barbara, Caldas, Carlos, Caldés, Trinidad, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Cheng, Ting-Yuan David, Chin, Suet-Feung, Clarke, Christine L, NBCS Collaborators, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, David G, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dunn, Janet A, Dunning, Alison M, Durcan, Lorraine, Dwek, Miriam, Earl, Helena M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Figueroa, Jonine, Flesch-Janys, Dieter, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Galle, Eva, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, George, Angela, Georgoulias, Vassilios, Giles, Graham G, Glendon, Gord, Goldgar, David E, González-Neira, Anna, Alnæs, Grethe I Grenaker, Grip, Mervi, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan, Harkness, Elaine F, Harrington, Patricia A, Hart, Steven N, Hartikainen, Jaana M, Hein, Alexander, Hillemanns, Peter, Hiller, Louise, Holleczek, Bernd, Hollestelle, Antoinette, Hooning, Maartje J, Hoover, Robert N, Hopper, John L, Howell, Anthony, Huang, Guanmengqian, Humphreys, Keith, Hunter, David J, Janni, Wolfgang, John, Esther M, Jones, Michael E, Jukkola-Vuorinen, Arja, Jung, Audrey, Kaaks, Rudolf, Kabisch, Maria, Kaczmarek, Katarzyna, Kerin, Michael J, Khan, Sofia, Khusnutdinova, Elza, Kiiski, Johanna I, Kitahara, Cari M, Knight, Julia A, Ko, Yon-Dschun, Koppert, Linetta B, Kosma, Veli-Matti, Kraft, Peter, Kristensen, Vessela N, Krüger, Ute, Kühl, Tabea, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Li, Lian, Lindblom, Annika, Lindström, Sara, Linet, Martha, Lissowska, Jolanta, Lo, Wing-Yee, Loibl, Sibylle, Lubiński, Jan, Lux, Michael P, MacInnis, Robert J, Maierthaler, Melanie, Maishman, Tom, Makalic, Enes, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, McLean, Catriona, Meindl, Alfons, Middha, Pooja, Miller, Nicola, Milne, Roger L, Moreno, Fernando, Mulligan, Anna Marie, Mulot, Claire, Nassir, Rami, Neuhausen, Susan L, Newman, William T, Nielsen, Sune F, Nordestgaard, Børge G, Norman, Aaron, Olsson, Håkan, Orr, Nick, Pankratz, V Shane, Park-Simon, Tjoung-Won, Perez, Jose IA, Pérez-Barrios, Clara, Peterlongo, Paolo, Petridis, Christos, Pinchev, Mila, Prajzendanc, Karoliona, Prentice, Ross, Presneau, Nadege, Prokofieva, Darya, Pylkäs, Katri, Rack, Brigitte, Radice, Paolo, Ramachandran, Dhanya, Rennert, Gadi, Rennert, Hedy S, Rhenius, Valerie, Romero, Atocha, Roylance, Rebecca, Saloustros, Emmanouil, Sawyer, Elinor J, Schmidt, Daniel F, Schmutzler, Rita K, Schneeweiss, Andreas, Schoemaker, Minouk J, Schumacher, Fredrick, Schwentner, Lukas, Scott, Rodney J, Scott, Christopher, Seynaeve, Caroline, Shah, Mitul, Simard, Jacques, Smeets, Ann, Sohn, Christof, Southey, Melissa C, Swerdlow, Anthony J, Talhouk, Aline, Tamimi, Rulla M, Tapper, William J, Teixeira, Manuel R, Tengström, Maria, Terry, Mary Beth, Thöne, Kathrin, Tollenaar, Rob AEM, Tomlinson, Ian, Torres, Diana, Truong, Thérèse, Turman, Constance, Turnbull, Clare, Ulmer, Hans-Ulrich, Untch, Michael, Vachon, Celine, van Asperen, Christi J, van den Ouweland, Ans MW, van Veen, Elke M, Wendt, Camilla, Whittemore, Alice S, Willett, Walter, Winqvist, Robert, Wolk, Alicja, Yang, Xiaohong R, Zhang, Yan, Easton, Douglas F, Fasching, Peter A, Nevanlinna, Heli, Eccles, Diana M, Pharoah, Paul DP, Schmidt, Marjanka K, Dennis, Joe [0000-0003-4591-1214], Wang, Jean [0000-0002-9139-0627], Abraham, Jean [0000-0003-0688-4807], Caldas, Carlos [0000-0003-3547-1489], Chin, Suet-Feung [0000-0001-5697-1082], Dunning, Alison [0000-0001-6651-7166], Earl, Helena [0000-0003-1549-8094], Rhenius, Valerie [0000-0003-4215-3235], Easton, Douglas [0000-0003-2444-3247], Pharoah, Paul [0000-0001-8494-732X], and Apollo - University of Cambridge Repository
Subjects: Receptors, Estrogen, Genetic Variation, Humans, Bayes Theorem, Breast Neoplasms, Female, Prognosis, Chromosomes, Human, Pair 7, White People, Genome-Wide Association Study, Proportional Hazards Models
Abstract: BACKGROUND: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry. METHODS: Meta-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). RESULTS: We did not find any variant associated with breast cancer-specific mortality at P
Published: 2019

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

Author: Escala-Garcia, Maria, Guo, Qi, Dörk, Thilo, Canisius, Sander, Keeman, Renske, Dennis, Joe, Beesley, Jonathan, Lecarpentier, Julie, Bolla, Manjeet K, Wang, Qin, Abraham, Jean, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Boeckx, Bram, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brentnall, Adam, Brinton, Louise, Broberg, Per, Brock, Ian W, Brucker, Sara Y, Burwinkel, Barbara, Caldas, Carlos, Caldés, Trinidad, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Cheng, Ting-Yuan David, Chin, Suet-Feung, Clarke, Christine L, NBCS Collaborators, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, David G, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dunn, Janet A, Dunning, Alison M, Durcan, Lorraine, Dwek, Miriam, Earl, Helena M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Figueroa, Jonine, Flesch-Janys, Dieter, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Galle, Eva, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, George, Angela, Georgoulias, Vassilios, Giles, Graham G, Glendon, Gord, Goldgar, David E, González-Neira, Anna, Alnæs, Grethe I Grenaker, Grip, Mervi, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan, Harkness, Elaine F, Harrington, Patricia A, Hart, Steven N, Hartikainen, Jaana M, Hein, Alexander, Hillemanns, Peter, Hiller, Louise, Holleczek, Bernd, Hollestelle, Antoinette, Hooning, Maartje J, Hoover, Robert N, Hopper, John L, Howell, Anthony, Huang, Guanmengqian, Humphreys, Keith, Hunter, David J, Janni, Wolfgang, John, Esther M, Jones, Michael E, Jukkola-Vuorinen, Arja, Jung, Audrey, Kaaks, Rudolf, Kabisch, Maria, Kaczmarek, Katarzyna, Kerin, Michael J, Khan, Sofia, Khusnutdinova, Elza, Kiiski, Johanna I, Kitahara, Cari M, Knight, Julia A, Ko, Yon-Dschun, Koppert, Linetta B, Kosma, Veli-Matti, Kraft, Peter, Kristensen, Vessela N, Krüger, Ute, Kühl, Tabea, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Li, Lian, Lindblom, Annika, Lindström, Sara, Linet, Martha, Lissowska, Jolanta, Lo, Wing-Yee, Loibl, Sibylle, Lubiński, Jan, Lux, Michael P, MacInnis, Robert J, Maierthaler, Melanie, Maishman, Tom, Makalic, Enes, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, McLean, Catriona, Meindl, Alfons, Middha, Pooja, Miller, Nicola, Milne, Roger L, Moreno, Fernando, Mulligan, Anna Marie, Mulot, Claire, Nassir, Rami, Neuhausen, Susan L, Newman, William T, Nielsen, Sune F, Nordestgaard, Børge G, Norman, Aaron, Olsson, Håkan, Orr, Nick, Pankratz, V Shane, Park-Simon, Tjoung-Won, Perez, Jose IA, Pérez-Barrios, Clara, Peterlongo, Paolo, Petridis, Christos, Pinchev, Mila, Prajzendanc, Karoliona, Prentice, Ross, Presneau, Nadege, Prokofieva, Darya, Pylkäs, Katri, Rack, Brigitte, Radice, Paolo, Ramachandran, Dhanya, Rennert, Gadi, Rennert, Hedy S, Rhenius, Valerie, Romero, Atocha, Roylance, Rebecca, Saloustros, Emmanouil, Sawyer, Elinor J, Schmidt, Daniel F, Schmutzler, Rita K, Schneeweiss, Andreas, Schoemaker, Minouk J, Schumacher, Fredrick, Schwentner, Lukas, Scott, Rodney J, Scott, Christopher, Seynaeve, Caroline, Shah, Mitul, Simard, Jacques, Smeets, Ann, Sohn, Christof, Southey, Melissa C, Swerdlow, Anthony J, Talhouk, Aline, Tamimi, Rulla M, Tapper, William J, Teixeira, Manuel R, Tengström, Maria, Terry, Mary Beth, Thöne, Kathrin, Tollenaar, Rob AEM, Tomlinson, Ian, Torres, Diana, Truong, Thérèse, Turman, Constance, Turnbull, Clare, Ulmer, Hans-Ulrich, Untch, Michael, Vachon, Celine, Van Asperen, Christi J, Van Den Ouweland, Ans MW, Van Veen, Elke M, Wendt, Camilla, Whittemore, Alice S, Willett, Walter, Winqvist, Robert, Wolk, Alicja, Yang, Xiaohong R, Zhang, Yan, Easton, Douglas F, Fasching, Peter A, Nevanlinna, Heli, Eccles, Diana M, Pharoah, Paul DP, and Schmidt, Marjanka K
Subjects: Receptors, Estrogen, Genetic Variation, Humans, Bayes Theorem, Breast Neoplasms, Female, Prognosis, Chromosomes, Human, Pair 7, White People, Genome-Wide Association Study, Proportional Hazards Models
Abstract: BACKGROUND: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry. METHODS: Meta-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). RESULTS: We did not find any variant associated with breast cancer-specific mortality at P < 5 × 10-8. For ER-positive disease, the most significantly associated variant was chr7:rs4717568 (BFDP = 7%, P = 1.28 × 10-7, hazard ratio [HR] = 0.88, 95% confidence interval [CI] = 0.84-0.92); the closest gene is AUTS2. For ER-negative disease, the most significant variant was chr7:rs67918676 (BFDP = 11%, P = 1.38 × 10-7, HR = 1.27, 95% CI = 1.16-1.39); located within a long intergenic non-coding RNA gene (AC004009.3), close to the HOXA gene cluster. CONCLUSIONS: We uncovered germline variants on chromosome 7 at BFDP < 15% close to genes for which there is biological evidence related to breast cancer outcome. However, the paucity of variants associated with mortality at genome-wide significance underpins the challenge in providing genetic-based individualised prognostic information for breast cancer patients.
Published: 2019
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42. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use

Author: Liu, Mengzhen, Jiang, Yu, Wedow, Robbee, Li, Yue, Brazel, David M, Chen, Fang, Datta, Gargi, Davila-Velderrain, Jose, McGuire, Daniel, Tian, Chao, Zhan, Xiaowei, 23andMe Research Team, HUNT All-In Psychiatry, Choquet, Hélène, Docherty, Anna R, Faul, Jessica D, Foerster, Johanna R, Fritsche, Lars G, Gabrielsen, Maiken Elvestad, Gordon, Scott D, Haessler, Jeffrey, Hottenga, Jouke-Jan, Huang, Hongyan, Jang, Seon-Kyeong, Jansen, Philip R, Ling, Yueh, Mägi, Reedik, Matoba, Nana, McMahon, George, Mulas, Antonella, Orrù, Valeria, Palviainen, Teemu, Pandit, Anita, Reginsson, Gunnar W, Skogholt, Anne Heidi, Smith, Jennifer A, Taylor, Amy E, Turman, Constance, Willemsen, Gonneke, Young, Hannah, Young, Kendra A, Zajac, Gregory JM, Zhao, Wei, Zhou, Wei, Bjornsdottir, Gyda, Boardman, Jason D, Boehnke, Michael, Boomsma, Dorret I, Chen, Chu, Cucca, Francesco, Davies, Gareth E, Eaton, Charles B, Ehringer, Marissa A, Esko, Tõnu, Fiorillo, Edoardo, Gillespie, Nathan A, Gudbjartsson, Daniel F, Haller, Toomas, Harris, Kathleen Mullan, Heath, Andrew C, Hewitt, John K, Hickie, Ian B, Hokanson, John E, Hopfer, Christian J, Hunter, David J, Iacono, William G, Johnson, Eric O, Kamatani, Yoichiro, Kardia, Sharon LR, Keller, Matthew C, Kellis, Manolis, Kooperberg, Charles, Kraft, Peter, Krauter, Kenneth S, Laakso, Markku, Lind, Penelope A, Loukola, Anu, Lutz, Sharon M, Madden, Pamela AF, Martin, Nicholas G, McGue, Matt, McQueen, Matthew B, Medland, Sarah E, Metspalu, Andres, Mohlke, Karen L, Nielsen, Jonas B, Okada, Yukinori, Peters, Ulrike, Polderman, Tinca JC, Posthuma, Danielle, Reiner, Alexander P, Rice, John P, Rimm, Eric, Rose, Richard J, Runarsdottir, Valgerdur, Stallings, Michael C, Stančáková, Alena, Stefansson, Hreinn, Thai, Khanh K, and Tindle, Hilary A
Subjects: Risk, Male, Alcohol Drinking, Cardiovascular, 23andMe Research Team, Medical and Health Sciences, Substance Misuse, Alcohol Use and Health, HUNT All-In Psychiatry, Tobacco, Genetics, Humans, 2.1 Biological and endogenous factors, Aetiology, Cancer, Tobacco Smoke and Health, Prevention, Smoking, Human Genome, Genetic Variation, Tobacco Use Disorder, Middle Aged, Biological Sciences, Brain Disorders, Stroke, Alcoholism, Phenotype, Good Health and Well Being, Female, Genome-Wide Association Study, Developmental Biology
Abstract: Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discovery efforts6-11. In sample sizes up to 1.2 million individuals, we discovered 566 genetic variants in 406 loci associated with multiple stages of tobacco use (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci evidencing pleiotropic association. Smoking phenotypes were positively genetically correlated with many health conditions, whereas alcohol use was negatively correlated with these conditions, such that increased genetic risk for alcohol use is associated with lower disease risk. We report evidence for the involvement of many systems in tobacco and alcohol use, including genes involved in nicotinic, dopaminergic, and glutamatergic neurotransmission. The results provide a solid starting point to evaluate the effects of these loci in model organisms and more precise substance use measures.
Published: 2019

43. Novel Common Genetic Susceptibility Loci for Colorectal Cancer

Author: Schmit, Stephanie L, Edlund, Christopher K, Schumacher, Fredrick R, Gong, Jian, Harrison, Tabitha A, Huyghe, Jeroen R, Qu, Chenxu, Melas, Marilena, Van Den Berg, David J, Wang, Hansong, Tring, Stephanie, Plummer, Sarah J, Albanes, Demetrius, Alonso, M Henar, Amos, Christopher I, Anton, Kristen, Aragaki, Aaron K, Arndt, Volker, Barry, Elizabeth L, Berndt, Sonja I, Bezieau, Stéphane, Bien, Stephanie, Bloomer, Amanda, Boehm, Juergen, Boutron-Ruault, Marie-Christine, Brenner, Hermann, Brezina, Stefanie, Buchanan, Daniel D, Butterbach, Katja, Caan, Bette J, Campbell, Peter T, Carlson, Christopher S, Castelao, Jose E, Chan, Andrew T, Chang-Claude, Jenny, Chanock, Stephen J, Cheng, Iona, Cheng, Ya-Wen, Chin, Lee Soo, Church, James M, Church, Timothy, Coetzee, Gerhard A, Cotterchio, Michelle, Cruz Correa, Marcia, Curtis, Keith R, Duggan, David, Easton, Douglas F, English, Dallas, Feskens, Edith JM, Fischer, Rocky, FitzGerald, Liesel M, Fortini, Barbara K, Fritsche, Lars G, Fuchs, Charles S, Gago-Dominguez, Manuela, Gala, Manish, Gallinger, Steven J, Gauderman, W James, Giles, Graham G, Giovannucci, Edward L, Gogarten, Stephanie M, Gonzalez-Villalpando, Clicerio, Gonzalez-Villalpando, Elena M, Grady, William M, Greenson, Joel K, Gsur, Andrea, Gunter, Marc, Haiman, Christopher A, Hampe, Jochen, Harlid, Sophia, Harju, John F, Hayes, Richard B, Hofer, Philipp, Hoffmeister, Michael, Hopper, John L, Huang, Shu-Chen, Huerta, Jose Maria, Hudson, Thomas J, Hunter, David J, Idos, Gregory E, Iwasaki, Motoki, Jackson, Rebecca D, Jacobs, Eric J, Jee, Sun Ha, Jenkins, Mark A, Jia, Wei-Hua, Jiao, Shuo, Joshi, Amit D, Kolonel, Laurence N, Kono, Suminori, Kooperberg, Charles, Krogh, Vittorio, Kuehn, Tilman, Küry, Sébastien, LaCroix, Andrea, Laurie, Cecelia A, Lejbkowicz, Flavio, Lemire, Mathieu, Lenz, Heinz-Josef, and Levine, David
Subjects: Oncology And Carcinogenesis, Genotype, Prevention, Human Genome, Ethnic Groups, Single Nucleotide, Prognosis, United States, Colo-Rectal Cancer, Clinical Research, Genetic Loci, Case-Control Studies, Ethnicity, Genetics, 2.1 Biological and endogenous factors, Humans, Genetic Predisposition to Disease, Oncology & Carcinogenesis, Aetiology, Polymorphism, Digestive Diseases, Colorectal Neoplasms, Cancer, Follow-Up Studies, Genome-Wide Association Study
Abstract: BackgroundPrevious genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10-8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk.MethodsWe conducted a GWAS in European descent CRC cases and control subjects using a discovery-replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10-8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided.ResultsThe discovery GWAS identified 11 variants associated with CRC at P < 5 × 10-8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0.ConclusionsThis study provides insight into the architecture of common genetic variation contributing to CRC etiology and improves risk prediction for individualized screening.
Published: 2019

44. Novel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways

Author: Duffy, David L, Zhu, Gu, Xin, Li, Sanna, Marianna, Iles, Mark M, Jacobs, Leonie C, Evans, David M, Yazar, Seyhan, Beesley, Jonathan, Law, Matthew H, Kraft, Peter, Visconti, Alessia, Taylor, John C, Lui, Fan, Wright, Margaret J, Henders, Anjali K, Bowdler, Lisa, Glass, Dan, Ikram, Arfan M, Uitterlinden, André G, Madden, Pamela A, Heath, Andrew C, Nelson, Elliot C, Green, Adele C, Chanock, Stephen, Barrett, Jennifer H, Brown, Matthew A, Hayward, Nicholas K, Macgregor, Stuart, Sturm, Richard A, Hewitt, Alex W, Kayser, Manfred, Hunter, David J, Newton Bishop, Julia A, Spector, Timothy D, Montgomery, Grant W, Mackey, David A, Smith, George Davey, Nijsten, Tamar E, Bishop, D Timothy, Bataille, Veronique, Falchi, Mario, Han, Jiali, Martin, Nicholas, G, Lee, Je, Brossard, M, Moses, Ek, Song, F, Kumar, R, Easton, Df, Pharoah, Pdp, Swerdlow, Aj, Kypreou, Kp, Harland, M, Randerson-Moor, J, Akslen, La, Andresen, Pa, Avril, Mf, Azizi, E, Scarrà, Gb, Brown, Km, Dębniak, T, Elder, De, Fang, S, Friedman, E, Galan, P, Ghiorzo, P, Gillanders, Em, Goldstein, Am, Gruis, Na, Hansson, J, Helsing, P, Hočevar, M, Höiom, V, Ingvar, C, Kanetsky, Pa, Chen, Wv, Landi, Mt, Lang, J, Lathrop, Gm, Lubiński, J, Mackie, Rm, Mann, Gj, Molven, A, Novaković, S, Olsson, H, Puig, S, Puig-Butille, Ja, Radford-Smith, Gl, van der Stoep, N, van Doorn, R, Whiteman, Dc, Craig, Je, Schadendorf, D, Simms, La, Burdon, Kp, Nyholt, Dr, Pooley, Ka, Orr, N, Stratigos, Aj, Cust, Ae, Ward, Sv, Schulze, Hj, Dunning, Am, Demenais, F, Amos, Ci., Apollo - University of Cambridge Repository, Dermatology, Genetic Identification, Epidemiology, Internal Medicine, and Consortium, Melanoma Gwas
Subjects: 0301 basic medicine, Skin Neoplasms, Medizin, General Physics and Astronomy, Genome-wide association study, Receptors, G-Protein-Coupled, 0302 clinical medicine, Guanine Nucleotide Exchange Factors, lcsh:Science, skin and connective tissue diseases, Melanoma, Telomerase, Genetics, 0303 health sciences, Nevus, Pigmented, Stem Cell Factor, Multidisciplinary, Microfilament Proteins, Nuclear Proteins, RNA-Binding Proteins, Genetic Pleiotropy, Microphthalmia-associated transcription factor, 3. Good health, 030220 oncology & carcinogenesis, Cytochrome P-450 CYP1B1, Interferon Regulatory Factors, Medical genetics, PPARGC1B, Dock8, medicine.medical_specialty, Science, Telomere-Binding Proteins, Single-nucleotide polymorphism, Nerve Tissue Proteins, Biology, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Histone Deacetylases, White People, Group VI Phospholipases A2, 03 medical and health sciences, Genetic predisposition, Pigmented Nevus, medicine, Nevus, Humans, Genetic Predisposition to Disease, neoplasms, 030304 developmental biology, General Chemistry, medicine.disease, Repressor Proteins, MicroRNAs, 030104 developmental biology, Cutaneous melanoma, RNA, lcsh:Q, Carrier Proteins, IRF4, Genome-Wide Association Study
Abstract: The total number of acquired melanocytic nevi on the skin is strongly correlated with melanoma risk. Here we report a meta-analysis of 11 nevus GWAS from Australia, Netherlands, United Kingdom, and United States, comprising a total of 52,506 phenotyped individuals. We confirm known loci including MTAP, PLA2G6, and IRF4, and detect novel SNPs at a genome-wide level of significance in KITLG, DOCK8, and a broad region of 9q32. In a bivariate analysis combining the nevus results with those from a recent melanoma GWAS meta-analysis (12,874 cases, 23,203 controls), SNPs near GPRC5A, CYP1B1, PPARGC1B, HDAC4, FAM208B and SYNE2 reached global significance, and other loci, including MIR146A and OBFC1, reached a suggestive level of significance. Overall, we conclude that most nevus genes affect melanoma risk (KITLG an exception), while many melanoma risk loci do not alter nevus count. For example, variants in TERC and OBFC1 affect both traits, but other telomere length maintenance genes seem to affect melanoma risk only. Our findings implicate multiple pathways in nevogenesis via genes we can show to be expressed under control of the MITF melanocytic cell lineage regulator.
Published: 2018
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45. Periarticular bone predicts knee osteoarthritis progression: Data from the Osteoarthritis Initiative

Author: Lo, Grace H, Schneider, Erika, Driban, Jeffrey B, Price, Lori Lyn, Hunter, David J, Eaton, Charles B, Hochberg, Marc C, Jackson, Rebecca D, Kwoh, C Kent, Nevitt, Michael C, Lynch, John A, McAlindon, Timothy E, and OAI Investigators Group
Subjects: Male, Aging, Knee Joint, Clinical Sciences, Magnetic resonance imaging, Bone Density, Osteoarthritis, Humans, Knee, Femur, Longitudinal Studies, OAI Investigators Group, Absorptiometry, Aged, DXA, Tibia, X-Rays, Morphometry, Arthritis, Prevention, Middle Aged, Photon, Arthritis & Rheumatology, Musculoskeletal, Disease Progression, Public Health and Health Services, Biomedical Imaging, Female
Abstract: OBJECTIVE:Osteoarthritis (OA) is a disease with a substantial public health burden. Quantitative assessments of periarticular bone may be a biomarker capable of monitoring early disease progression. The purpose of this study was to evaluate whether measures of periarticular bone associate with longitudinal structural progression. METHODS:We conducted a 12-18 months longitudinal study using the Osteoarthritis Initiative (OAI). Participants received knee dual-energy x-ray absorptiometry (DXA), trabecular magnetic resonance (MR) imaging, and x-rays. Knee DXAs generated proximal tibial medial:lateral periarticular bone mineral density (paBMD) measures. Proximal tibial trabecular MR images were assessed for trabecular morphometry: apparent bone volume fraction (BVF), trabecular number, thickness, and spacing. Weight-bearing x-rays were assessed for medial tibiofemoral joint space narrowing (JSN). Chi-squared analyses assessed whether periarticular bone measures were predictive of worsening medial tibiofemoral JSN, adjusted for age, sex, and BMI. RESULTS:In all, 444 participants, mean age 64.2 ± 9.2 years, BMI 29.5 ± 4.6kg/m2, and 52% male at baseline. Medial JSN (radiographic progression) occurred in 40 participants (9%). Higher baseline medial:lateral paBMD, apparent BVF, trabecular number and thickness, and lower baseline and decreased trabecular spacing were all associated with more progression of JSN in the medial compartment. From lowest to highest baseline medial:lateral paBMD quartile groups, 2%, 5%, 11%, and 18% had medial JSN progression, respectively, between the 36- and 48-month visits, p-values = 0.001 and 0.002 unadjusted and adjusted. The rate of change in medial:lateral paBMD, apparent BVF, and spacing were associated with more medial JSN. For rate of medial:lateral paBMD change from lowest to highest quartile, the proportion of each group that experienced medial JSN progression were 5%, 5%, 11%, and 18%, with an unadjusted and adjusted p-value of 0.005. CONCLUSION:Baseline and most rates of periarticular bone change associate with knee OA structural progression, highlighting the close relationship between subchondral bone and JSN. Future studies should focus on developing these measures as predictive and pathophysiological biomarkers, and evaluating their deployment in clinical trials testing bone-targeted therapeutics.
Published: 2018

46. Primary care workforce development in Europe: An overview of health system responses and stakeholder views

Author: Kuhlmann, E., Groenewegen, P.P., Bond, Christine, Burau, V., Hunter, David J., Social Urban Transitions, SGPL Stadsgeografie, Social Urban Transitions, and SGPL Stadsgeografie
Subjects: Community orientation, Population, Primary care, comparative european research, 03 medical and health sciences, 0302 clinical medicine, general practitioners, General Practitioners, patients and task shifting, Humans, health system leadership, 030212 general & internal medicine, Health Workforce, Staff Development, education, education.field_of_study, Primary Health Care, business.industry, 030503 health policy & services, Health Policy, Corporate governance, Stakeholder, primary care workforce, Public relations, Workforce development, health workforce policy, comparative European research, ComputingMilieux_GENERAL, Europe, Policy, Patient Satisfaction, Workforce, 0305 other medical science, business, Delivery of Health Care, Healthcare system
Abstract: Better primary care has become a key strategy for reforming health systems to respond effectively to increases in non-communicable diseases and changing population needs, yet the primary care workforce has received very little attention. This article aligns primary care policy and workforce development in European countries. The aim is to provide a comparative overview of the governance of workforce innovation and the views of the main stakeholders. Cross-country comparisons and an explorative case study design are applied. We combine material from different European projects to analyse health system responses to changing primary care workforce needs, transformations in the general practitioner workforce and patient views on workforce changes. The results reveal a lack of alignment between primary care reform policies and workforce policies and high variation in the governance of primary care workforce innovation. Transformations in the general practitioner workforce only partly follow changing population needs; countries vary considerably in supporting and achieving the goals of integration and community orientation. Yet patients who have experienced task shifting in their care express overall positive views on new models. In conclusion, synthesising available evidence from different projects contributes new knowledge on policy levers and reveals an urgent need for health system leadership in developing an integrated people-centred primary care workforce.
Published: 2018
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47. Predictive Validity of Radiographic Trabecular Bone Texture in Knee Osteoarthritis: The Osteoarthritis Research Society International/Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium

Author: Kraus, Virginia Byers, Collins, Jamie E, Charles, H Cecil, Pieper, Carl F, Whitley, Lawrence, Losina, Elena, Nevitt, Michael, Hoffmann, Steve, Roemer, Frank, Guermazi, Ali, Hunter, David J, and OA Biomarkers Consortium
Subjects: Male, Aging, Knee Joint, Clinical Sciences, Immunology, Pain, Severity of Illness Index, Medical, Osteoarthritis, Humans, Knee, Pain Measurement, Aged, Tibia, Prevention, Arthritis, Pain Research, Reproducibility of Results, Middle Aged, United States, Arthritis & Rheumatology, OA Biomarkers Consortium, National Institutes of Health (U.S.), Case-Control Studies, Musculoskeletal, Cancellous Bone, Disease Progression, Public Health and Health Services, Female, Chronic Pain, Societies, Biomarkers
Abstract: ObjectiveTo evaluate radiographic subchondral trabecular bone texture (TBT) as a predictor of clinically relevant osteoarthritis (OA) progression (combination of symptom and structural worsening).MethodsThe Foundation for the National Institutes of Health (FNIH) OA Biomarkers Consortium undertook a study of progressive knee OA cases (n = 194 knees with both radiographic and pain progression over 24-48 months) and comparators (n = 406 OA knees not meeting the case definition). TBT parameters were extracted from a medial subchondral tibial region of interest by fractal signature analysis of radiographs using validated semiautomated software. Baseline TBT and time-integrated values over 12 and 24 months were evaluated for association with case status and separately with radiographic and pain progression status, adjusted for age, sex, body mass index, race, baseline Kellgren/Lawrence grade, baseline joint space width, Western Ontario and McMaster Universities Osteoarthritis Index pain score, and pain medication use. C statistics were generated from receiver operating characteristic curves.ResultsRelative to comparators, cases were characterized by thinner vertical and thicker horizontal trabeculae. The summed composite of 3 TBT parameters at baseline and over 12 and 24 months best predicted case status (odds ratios 1.24-1.43). The C statistic for predicting case status using the TBT composite score (0.633-0.649) was improved modestly but statistically significantly over the use of covariates alone (0.608). One TBT parameter, reflecting thickened horizontal trabeculae in cases, at baseline and over 12 and 24 months, predicted risk of any progression (radiographic and/or pain progression).ConclusionAlthough associations are modest, TBT could be an attractive means of enriching OA trials for progressors since it can be generated from screening knee radiographs already standard in knee OA clinical trials.
Published: 2018

48. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

Author: Consortium, Coffee and Caffeine Genetics, Cornelis, Marilyn C, Renstrom, Frida, Rasheed, Asif, Mason, Marc A, Zonderman, Alan B, Franke, Lude, Kristal, Bruce S, Consortium, International Parkinson’s Disease Genomics, Consortium, North American Brain Expression, Consortium, UK Brain Expression, Karjalainen, Juha, Reed, Danielle R, Ngwa, Julius S, Westra, Harm-Jan, Evans, Michele K, Saleheen, Danish, Harris, Tamara B, Dedoussis, George, Curhan, Gary, Stumvoll, Michael, Beilby, John, Pasquale, Louis R, Feenstra, Bjarke, Huikari, Ville, Bandinelli, Stefania, Ordovas, Jose M, Chan, Andrew T, Peters, Ulrike, Ohlsson, Claes, Gieger, Christian, Martin, Nicholas G, Waldenberger, Melanie, Siscovick, David S, Raitakari, Olli, Cavadino, Alana, Eriksson, Johan G, Mitchell, Paul, Hunter, David J, Kraft, Peter, Rimm, Eric B, Boomsma, Dorret I, Borecki, Ingrid B, Loos, Ruth Jf, Wareham, Nicholas J, Vollenweider, Peter, Nolte, Ilja M, Caporaso, Neil, Grabe, Hans Jörgen, Neuhouser, Marian L, Wolffenbuttel, Bruce Hr, Hu, Frank B, Hyppönen, Elina, Järvelin, Marjo-Riitta, Cupples, L Adrienne, Franks, Paul W, Ridker, Paul M, Teumer, Alexander, van Duijn, Cornelia M, Heiss, Gerardo, Metspalu, Andres, North, Kari E, Ingelsson, Erik, Nettleton, Jennifer A, van Dam, Rob M, Chasman, Daniel I, Nalls, Michael A, Plagnol, Vincent, Yu, Kai, Hernandez, Dena G, Sharma, Manu, Sheerin, Una-Marie, Saad, Mohamad, Simón-Sánchez, Javier, Schulte, Claudia, Lesage, Suzanne, Sveinbjörnsdóttir, Sigurlaug, Arepalli, Sampath, Barker, Roger, Marques-Vidal, Pedro, Ben-Shlomo, Yoav, Berendse, Henk W, Berg, Daniela, Bhatia, Kailash, de Bie, Rob M A, Biffi, Alessandro, Bloem, Bas, Bochdanovits, Zoltan, Bonin, Michael, Bras, M., Rawal, Rajesh, Brockmann, Kathrin, Brooks, Janet, Burn, David J, Charlesworth, Gavin, Chen, Honglei, Chinnery, Patrick F, Chong, Sean, Clarke, Carl E, Cookson, Mark R, Cooper, J Mark, Manichaikul, Ani, Corvol, Jean Christophe, Counsell, Carl, Damier, Philippe, Dartigues, Jean-François, Deloukas, Panos, Deuschl, Günther, Dexter, David T, van Dijk, Karin D, Dillman, Allissa, Durif, Frank, Byrne, Enda M, Wojczynski, Mary K, Dürr, Alexandra, Edkins, Sarah, Evans, Jonathan R, Foltynie, Thomas, Dong, Jing, Gardner, Michelle, Gibbs, J Raphael, Goate, Alison, Gray, Emma, Guerreiro, Rita, Vink, Jacqueline M, Harris, Clare, van Hilten, Jacobus J, Hofman, Albert, Hollenbeck, Albert, Holton, Janice, Hu, Michele, Huang, Xuemei, Hershey, Milton S, Wurster, Isabel, Mätzler, Walter, Zhao, Jing Hua, Hudson, Gavin, Hunt, Sarah E, Huttenlocher, Johanna, Illig, Thomas, München, Helmholtz Zentrum, Jónsson, Pálmi V, Lambert, Jean-Charles, Langford, Cordelia, Lees, Andrew, Lichtner, Peter, Burlutsky, George, Limousin, Patricia, Lopez, Grisel, Lorenz, Delia, McNeill, Alisdair, Moorby, Catriona, Moore, Matthew, Morris, Huw R, Morrison, Karen E, O' Sullivan, Sean S, Lahti, Jari, Pearson, Justin, Perlmutter, Joel S, Pétursson, Hjörvar, Pollak, Pierre, Potter, Simon, Ravina, Bernard, Revesz, Tamas, Riess, Olaf, Rivadeneira, Fernando, Rizzu, Patrizia, Mikkilä, Vera, Ryten, Mina, Sawcer, Stephen, Schapira, Anthony, Scheffer, Hans, Shaw, Karen, Sidransky, Ellen, Smith, Colin, Spencer, Chris C A, Stefánsson, Hreinn, Bettella, Francesco, Lemaitre, Rozenn N, Stockton, Joanna D, Strange, Amy, Talbot, Kevin, Tanner, M., Tashakkori-Ghanbaria, Avazeh, Tison, François, Trabzuni, Daniah, Traynor, Bryan J, Uitterlinden, André G, Velseboer, Daan, Eriksson, Joel, Vidailhet, Marie, Walker, Robert, van de Warrenburg, Bart, Wickremaratchi, Mirdhu, Williams, Nigel, Williams-Gray, Caroline H, Winder-Rhodes, Sophie, Stefánsson, Kári, Martinez, Maria, Sabatier, Paul, Musani, Solomon K, Wood, Nicholas W, Hardy, John, Heutink, Peter, Brice, Alexis, Gasser, Thomas, Singleton, Andrew B, Singleton, Andrew, Cookson, Mark, Hernandez, Dena, Tanaka, Toshiko, Nalls, Michael, Zonderman, Alan, Ferrucci, Luigi, Johnson, Robert, Longo, Dan, O'Brien, Richard, Traynor, Bryan, Troncoso, Juan, Esko, Tõnu, Geller, Frank, van der Brug, Marcel, Zielke, Ronald, Weale, Michael, Ramasamy, Adaikalavan, Box, P. O., Luan, Jian'an, Hui, Jennie, Mägi, Reedik, Dimitriou, Maria, Garcia, Melissa E, Ho, Weang-Kee, Wright, Margaret J, Rose, Lynda M, Magnusson, Patrik Ke, Pedersen, Nancy L, Couper, David, Oostra, Ben A, Ikram, Mohammad Arfan, Tiemeier, Henning W, Uitterlinden, Andre G, van Rooij, Frank Ja, Barroso, Inês, Johansson, Ingegerd, Ganna, Andrea, Xue, Luting, Kaakinen, Marika, Milani, Lili, Power, Chris, Snieder, Harold, Stolk, Ronald P, Baumeister, Sebastian E, Biffar, Reiner, Gu, Fangyi, Bastardot, François, Paynter, Nina, Kutalik, Zoltán, Jacobs, David R, Forouhi, Nita G, Mihailov, Evelin, Lind, Lars, Lindgren, Cecilia, Michaëlsson, Karl, Morris, Andrew, Jensen, Majken, Khaw, Kay-Tee, Monda, Keri L, Luben, Robert N, Wang, Jie Jin, Männistö, Satu, Perälä, Mia-Maria, Kähönen, Mika, Lehtimäki, Terho, Viikari, Jorma, Mozaffarian, Dariush, Mukamal, Kenneth, Psaty, Bruce M, Amin, Najaf, Döring, Angela, Heath, Andrew C, Montgomery, Grant W, Dahmen, Norbert, Carithers, Teresa, Tucker, Katherine L, Boyd, Heather A, Melbye, Mads, Treur, Jorien L, Fischer, Krista, Mellström, Dan, Hottenga, Jouke Jan, Prokopenko, Inga, Tönjes, Anke, Kanoni, Stavroula, Lorentzon, Mattias, Houston, Denise K, Liu, Yongmei, Danesh, John, Biological Psychology, Nutrition and Health, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, The, Coffee, Cornelis, MC, Byrne, Enda, Esko, Tonu, Nalls, MA, Hyppönen, Elina, Chasman, DI, The Coffee and Caffeine Genetics Consortium, International Parkinson's Disease Genomics Consortium (IPDGC), UK Brain Expression Consortium (UKBEC), North American Brain Expression Consortium (NABEC), Epidemiology, Surgery, Public Health, Cell biology, Hematology, Clinical Genetics, Internal Medicine, Life Course Epidemiology (LCE), Lifestyle Medicine (LM), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), ANS - Amsterdam Neuroscience, Neurology, Graduate School, Pediatric surgery, VU University medical center, NCA - neurodegeneration, Human genetics, NCA - Brain mechanisms in health and disease, and NCA - Neurobiology of mental health
Subjects: INVOLVEMENT, Netherlands Twin Register (NTR), GCKR protein, human, PROTEIN, Genome-wide association study, VARIANTS, genetics [Brain-Derived Neurotrophic Factor], chemistry.chemical_compound, 0302 clinical medicine, Polymorphism (computer science), genetics [Adaptor Proteins, Signal Transducing], BINDING, BRAIN, Genetics, 0303 health sciences, Basic Helix-Loop-Helix Leucine Zipper Transcription Factors, Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3], 3. Good health, Psychiatry and Mental health, Phenotype, genetics [Polymorphism, Single Nucleotide], genetics [Cytochrome P-450 CYP1A2], Caffeine, CAFFEINE, Single-nucleotide polymorphism, Biology, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, SDG 3 - Good Health and Well-being, Cytochrome P-450 CYP1A2, SNP, Humans, ddc:610, Allele, genetics [Basic Helix-Loop-Helix Leucine Zipper Transcription Factors], Molecular Biology, 030304 developmental biology, Adaptor Proteins, Signal Transducing, MLXIPL protein, human, RECEPTOR, Brain-Derived Neurotrophic Factor, Coffea, ta1182, Feeding Behavior, biology.organism_classification, ta3124, BDNF, chemistry, Behavioral medicine, Developmental Psychopathology, 030217 neurology & neurosurgery, GLUCOKINASE, metabolism [Coffea], Genome-Wide Association Study
Abstract: Contains fulltext : 155360.pdf (Publisher’s version ) (Closed access) Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to 91,462 coffee consumers of European ancestry with top single-nucleotide polymorphisms (SNPs) followed-up in ~30 062 and 7964 coffee consumers of European and African-American ancestry, respectively. Studies from both stages were combined in a trans-ethnic meta-analysis. Confirmed loci were examined for putative functional and biological relevance. Eight loci, including six novel loci, met GW significance (log10Bayes factor (BF)>5.64) with per-allele effect sizes of 0.03-0.14 cups per day. Six are located in or near genes potentially involved in pharmacokinetics (ABCG2, AHR, POR and CYP1A2) and pharmacodynamics (BDNF and SLC6A4) of caffeine. Two map to GCKR and MLXIPL genes related to metabolic traits but lacking known roles in coffee consumption. Enhancer and promoter histone marks populate the regions of many confirmed loci and several potential regulatory SNPs are highly correlated with the lead SNP of each. SNP alleles near GCKR, MLXIPL, BDNF and CYP1A2 that were associated with higher coffee consumption have previously been associated with smoking initiation, higher adiposity and fasting insulin and glucose but lower blood pressure and favorable lipid, inflammatory and liver enzyme profiles (P
Published: 2015
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49. An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

Author: Scott, Robert A, Scott, Laura J, Mägi, Reedik, Marullo, Letizia, Gaulton, Kyle J, Kaakinen, Marika, Pervjakova, Natalia, Pers, Tune H, Johnson, Andrew D, Eicher, John D, Jackson, Anne U, Ferreira, Teresa, Lee, Yeji, Ma, Clement, Steinthorsdottir, Valgerdur, Thorleifsson, Gudmar, Qi, Lu, Van Zuydam, Natalie R, Mahajan, Anubha, Chen, Han, Almgren, Peter, Voight, Ben F, Grallert, Harald, Müller-Nurasyid, Martina, Ried, Janina S, Rayner, Nigel W, Robertson, Neil, Karssen, Lennart C, van Leeuwen, Elisabeth M, Willems, Sara M, Fuchsberger, Christian, Kwan, Phoenix, Teslovich, Tanya M, Chanda, Pritam, Li, Man, Lu, Yingchang, Dina, Christian, Thuillier, Dorothee, Yengo, Loic, Jiang, Longda, Sparso, Thomas, Kestler, Hans A, Chheda, Himanshu, Eisele, Lewin, Gustafsson, Stefan, Frånberg, Mattias, Strawbridge, Rona J, Benediktsson, Rafn, Hreidarsson, Astradur B, Kong, Augustine, Sigurðsson, Gunnar, Kerrison, Nicola D, Luan, Jian'an, Liang, Liming, Meitinger, Thomas, Roden, Michael, Thorand, Barbara, Esko, Tõnu, Mihailov, Evelin, Fox, Caroline, Liu, Ching-Ti, Rybin, Denis, Isomaa, Bo, Lyssenko, Valeriya, Tuomi, Tiinamaija, Couper, David J, Pankow, James S, Grarup, Niels, Have, Christian T, Jørgensen, Marit E, Jørgensen, Torben, Linneberg, Allan, Cornelis, Marilyn C, van Dam, Rob M, Hunter, David J, Kraft, Peter, Sun, Qi, Edkins, Sarah, Owen, Katharine R, Perry, John RB, Wood, Andrew R, Zeggini, Eleftheria, Tajes-Fernandes, Juan, Abecasis, Goncalo R, Bonnycastle, Lori L, Chines, Peter S, Stringham, Heather M, Koistinen, Heikki A, Kinnunen, Leena, Sennblad, Bengt, Mühleisen, Thomas W, Nöthen, Markus M, Pechlivanis, Sonali, Baldassarre, Damiano, Gertow, Karl, Humphries, Steve E, Tremoli, Elena, Klopp, Norman, Meyer, Julia, and Steinbach, Gerald
Subjects: DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Human Genome, Diabetes, Genetic Variation, Medical and Health Sciences, White People, Endocrinology & Metabolism, Gene Expression Regulation, Diabetes Mellitus, Genetics, Humans, 2.1 Biological and endogenous factors, Obesity, Aetiology, Type 2, Metabolic and endocrine, Genome-Wide Association Study
Abstract: To characterize type 2 diabetes (T2D)-associated variation across the allele frequency spectrum, we conducted a meta-analysis of genome-wide association data from 26,676 T2D case and 132,532 control subjects of European ancestry after imputation using the 1000 Genomes multiethnic reference panel. Promising association signals were followed up in additional data sets (of 14,545 or 7,397 T2D case and 38,994 or 71,604 control subjects). We identified 13 novel T2D-associated loci (P < 5 × 10-8), including variants near the GLP2R, GIP, and HLA-DQA1 genes. Our analysis brought the total number of independent T2D associations to 128 distinct signals at 113 loci. Despite substantially increased sample size and more complete coverage of low-frequency variation, all novel associations were driven by common single nucleotide variants. Credible sets of potentially causal variants were generally larger than those based on imputation with earlier reference panels, consistent with resolution of causal signals to common risk haplotypes. Stratification of T2D-associated loci based on T2D-related quantitative trait associations revealed tissue-specific enrichment of regulatory annotations in pancreatic islet enhancers for loci influencing insulin secretion and in adipocytes, monocytes, and hepatocytes for insulin action-associated loci. These findings highlight the predominant role played by common variants of modest effect and the diversity of biological mechanisms influencing T2D pathophysiology.
Published: 2017

50. Quantifying the Genetic Correlation between Multiple Cancer Types

Author: Lindström, Sara, Finucane, Hilary, Bulik-Sullivan, Brendan, Schumacher, Fredrick R, Amos, Christopher I, Hung, Rayjean J, Rand, Kristin, Gruber, Stephen B, Conti, David, Permuth, Jennifer B, Lin, Hui-Yi, Goode, Ellen L, Sellers, Thomas A, Amundadottir, Laufey T, Stolzenberg-Solomon, Rachael, Klein, Alison, Petersen, Gloria, Risch, Harvey, Wolpin, Brian, Hsu, Li, Huyghe, Jeroen R, Chang-Claude, Jenny, Chan, Andrew, Berndt, Sonja, Eeles, Rosalind, Easton, Douglas, Haiman, Christopher A, Hunter, David J, Neale, Benjamin, Price, Alkes L, Kraft, Peter, PanScan, GECCO, Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository
Subjects: Male, Risk Factors, Neoplasms, Genetic Variation, Humans, Female, Genetic Predisposition to Disease, Genome-Wide Association Study
Abstract: Background: Many cancers share specific genetic risk factors, including both rare high-penetrance mutations and common SNPs identified through genome-wide association studies (GWAS). However, little is known about the overall shared heritability across cancers. Quantifying the extent to which two distinct cancers share genetic origin will give insights to shared biological mechanisms underlying cancer and inform design for future genetic association studies.Methods: In this study, we estimated the pair-wise genetic correlation between six cancer types (breast, colorectal, lung, ovarian, pancreatic, and prostate) using cancer-specific GWAS summary statistics data based on 66,958 case and 70,665 control subjects of European ancestry. We also estimated genetic correlations between cancers and 14 noncancer diseases and traits.Results: After adjusting for 15 pair-wise genetic correlation tests between cancers, we found significant (P < 0.003) genetic correlations between pancreatic and colorectal cancer (rg = 0.55, P = 0.003), lung and colorectal cancer (rg = 0.31, P = 0.001). We also found suggestive genetic correlations between lung and breast cancer (rg = 0.27, P = 0.009), and colorectal and breast cancer (rg = 0.22, P = 0.01). In contrast, we found no evidence that prostate cancer shared an appreciable proportion of heritability with other cancers. After adjusting for 84 tests studying genetic correlations between cancer types and other traits (Bonferroni-corrected P value: 0.0006), only the genetic correlation between lung cancer and smoking remained significant (rg = 0.41, P = 1.03 × 10-6). We also observed nominally significant genetic correlations between body mass index and all cancers except ovarian cancer.Conclusions: Our results highlight novel genetic correlations and lend support to previous observational studies that have observed links between cancers and risk factors.Impact: This study demonstrates modest genetic correlations between cancers; in particular, breast, colorectal, and lung cancer share some degree of genetic basis. Cancer Epidemiol Biomarkers Prev; 26(9); 1427-35. ©2017 AACR.
Published: 2017

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