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1. Correction: Publisher Correction: Evidence that breast cancer risk at the 2q35 locus is mediated through IGFBP5 regulation

Author

Ghoussaini, Maya, Edwards, Stacey L, Michailidou, Kyriaki, Nord, Silje, Cowper-Sal·lari, Richard, Desai, Kinjal, Kar, Siddhartha, Hillman, Kristine M, Kaufmann, Susanne, Glubb, Dylan M, Beesley, Jonathan, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Guo, Qi, Schmidt, Marjanka K, Shah, Mitul, Luben, Robert, Brown, Judith, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Klevebring, Daniel, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Lambrechts, Diether, Thienpont, Bernard, Neven, Patrick, Wildiers, Hans, Broeks, Annegien, Van’t Veer, Laura J, Rutgers, Emiel J Th, Couch, Fergus J, Olson, Janet E, Hallberg, Emily, Vachon, Celine, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Peto, Julian, dos-Santos-Silva, Isabel, Gibson, Lorna, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Hall, Per, Li, Jingmei, Liu, Jianjun, Humphreys, Keith, Kang, Daehee, Choi, Ji-Yeob, Park, Sue K, Noh, Dong-Young, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Yatabe, Yasushi, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Wu, Anna H, Tseng, Chiu-chen, Van Den Berg, David, Stram, Daniel O, Benitez, Javier, Pilar Zamora, M, Perez, Jose Ignacio Arias, Menéndez, Primitiva, Shu, Xiao-Ou, Lu, Wei, Gao, Yu-Tang, Cai, Qiuyin, Cox, Angela, Cross, Simon S, Reed, Malcolm WR, Andrulis, Irene L, Knight, Julia A, Glendon, Gord, Tchatchou, Sandrine, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Haiman, Christopher A, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Lindblom, Annika, Margolin, Sara, and Teo, Soo Hwang

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Breast Cancer, Cancer
Abstract

This corrects the article DOI: 10.1038/ncomms5999.

Published
2018

2. Fine-mapping identifies two additional breast cancer susceptibility loci at 9q31.2.

Author

Orr, Nick, Dudbridge, Frank, Dryden, Nicola, Maguire, Sarah, Novo, Daniela, Perrakis, Eleni, Johnson, Nichola, Ghoussaini, Maya, Hopper, John L, Southey, Melissa C, Apicella, Carmel, Stone, Jennifer, Schmidt, Marjanka K, Broeks, Annegien, Van't Veer, Laura J, Hogervorst, Frans B, Fasching, Peter A, Haeberle, Lothar, Ekici, Arif B, Beckmann, Matthias W, Gibson, Lorna, Aitken, Zoe, Warren, Helen, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Chistof, Guénel, Pascal, Truong, Thérèse, Cordina-Duverger, Emilie, Sanchez, Marie, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Benitez, Javier, Zamora, Maria Pilar, Arias Perez, Jose Ignacio, Menéndez, Primitiva, Anton-Culver, Hoda, Neuhausen, Susan L, Brenner, Hermann, Dieffenbach, Aida Karina, Arndt, Volker, Stegmaier, Christa, Hamann, Ute, Brauch, Hiltrud, Justenhoven, Christina, Brüning, Thomas, Ko, Yon-Dschun, Nevanlinna, Heli, Aittomäki, Kristiina, Blomqvist, Carl, Khan, Sofia, Bogdanova, Natalia, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Chenevix-Trench, Georgia, Beesley, Jonathan, Lambrechts, Diether, Moisse, Matthieu, Floris, Guiseppe, Beuselinck, Benoit, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Radice, Paolo, Peterlongo, Paolo, Peissel, Bernard, Pensotti, Valeria, Couch, Fergus J, Olson, Janet E, Slettedahl, Seth, Vachon, Celine, Giles, Graham G, Milne, Roger L, McLean, Catriona, Haiman, Christopher A, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Simard, Jacques, Goldberg, Mark S, Labrèche, France, Dumont, Martine, Kristensen, Vessela, Alnæs, Grethe Grenaker, Nord, Silje, Borresen-Dale, Anne-Lise, and Zheng, Wei

Subjects
GENICA Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Chromosomes, Human, Pair 9, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Estrogen Receptor alpha, Risk, Chromosome Mapping, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, Female, GATA3 Transcription Factor, Hepatocyte Nuclear Factor 3-alpha, Kruppel-Like Transcription Factors, Enhancer Elements, Genetic, Genetic Loci, Genetic Association Studies, Kruppel-Like Factor 4, Asian People, White People, Cancer, Breast Cancer, Biotechnology, Genetics, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

We recently identified a novel susceptibility variant, rs865686, for estrogen-receptor positive breast cancer at 9q31.2. Here, we report a fine-mapping analysis of the 9q31.2 susceptibility locus using 43 160 cases and 42 600 controls of European ancestry ascertained from 52 studies and a further 5795 cases and 6624 controls of Asian ancestry from nine studies. Single nucleotide polymorphism (SNP) rs676256 was most strongly associated with risk in Europeans (odds ratios [OR] = 0.90 [0.88-0.92]; P-value = 1.58 × 10(-25)). This SNP is one of a cluster of highly correlated variants, including rs865686, that spans ∼14.5 kb. We identified two additional independent association signals demarcated by SNPs rs10816625 (OR = 1.12 [1.08-1.17]; P-value = 7.89 × 10(-09)) and rs13294895 (OR = 1.09 [1.06-1.12]; P-value = 2.97 × 10(-11)). SNP rs10816625, but not rs13294895, was also associated with risk of breast cancer in Asian individuals (OR = 1.12 [1.06-1.18]; P-value = 2.77 × 10(-05)). Functional genomic annotation using data derived from breast cancer cell-line models indicates that these SNPs localise to putative enhancer elements that bind known drivers of hormone-dependent breast cancer, including ER-α, FOXA1 and GATA-3. In vitro analyses indicate that rs10816625 and rs13294895 have allele-specific effects on enhancer activity and suggest chromatin interactions with the KLF4 gene locus. These results demonstrate the power of dense genotyping in large studies to identify independent susceptibility variants. Analysis of associations using subjects with different ancestry, combined with bioinformatic and genomic characterisation, can provide strong evidence for the likely causative alleles and their functional basis.

Published
2015

3. Genetic variation at CYP3A is associated with age at menarche and breast cancer risk: a case-control study.

Author

Johnson, Nichola, Dudbridge, Frank, Orr, Nick, Gibson, Lorna, Jones, Michael E, Schoemaker, Minouk J, Folkerd, Elizabeth J, Haynes, Ben P, Hopper, John L, Southey, Melissa C, Dite, Gillian S, Apicella, Carmel, Schmidt, Marjanka K, Broeks, Annegien, Van't Veer, Laura J, Atsma, Femke, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Renner, Stefan P, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Miller, Nicola, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Guénel, Pascal, Truong, Therese, Cordina, Emilie, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Milne, Roger, Zamora, M Pilar, Arias Perez, Jose Ignacio, Benitez, Javier, Bernstein, Leslie, Anton-Culver, Hoda, Ziogas, Argyrios, Clarke Dur, Christina, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Dieffenbach, Aida Karina, Meindl, Alfons, Heil, Joerg, Bartram, Claus R, Schmutzler, Rita K, Brauch, Hiltrud, Justenhoven, Christina, Ko, Yon-Dschun, GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Dörk, Thilo, Bogdanova, Natalia V, Antonenkova, Natalia N, Lindblom, Annika, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Chenevix-Trench, Georgia, Beesley, Jonathan, kConFab Investigators, Australian Ovarian Cancer Study Group, Wu, Anna H, Van den Berg, David, Tseng, Chiu-Chen, Lambrechts, Diether, Smeets, Dominiek, Neven, Patrick, Wildiers, Hans, Chang-Claude, Jenny, Rudolph, Anja, Nickels, Stefan, Flesch-Janys, Dieter, Radice, Paolo, Peterlongo, Paolo, Bonanni, Bernardo, Pensotti, Valeria, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Fredericksen, Zachary, Pankratz, Vernon S, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, Haiman, Chris, Simard, Jacques, and Goldberg, Mark S

Subjects
GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Reproductive History, Risk Factors, Age Factors, Age of Onset, Premenopause, Menarche, Genotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, European Continental Ancestry Group, Female, Cytochrome P-450 CYP3A, Genetic Association Studies, Human Genome, Aging, Clinical Research, Cancer, Genetics, Breast Cancer, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

IntroductionWe have previously shown that a tag single nucleotide polymorphism (rs10235235), which maps to the CYP3A locus (7q22.1), was associated with a reduction in premenopausal urinary estrone glucuronide levels and a modest reduction in risk of breast cancer in women age ≤50 years.MethodsWe further investigated the association of rs10235235 with breast cancer risk in a large case control study of 47,346 cases and 47,570 controls from 52 studies participating in the Breast Cancer Association Consortium. Genotyping of rs10235235 was conducted using a custom Illumina Infinium array. Stratified analyses were conducted to determine whether this association was modified by age at diagnosis, ethnicity, age at menarche or tumor characteristics.ResultsWe confirmed the association of rs10235235 with breast cancer risk for women of European ancestry but found no evidence that this association differed with age at diagnosis. Heterozygote and homozygote odds ratios (ORs) were OR = 0.98 (95% CI 0.94, 1.01; P = 0.2) and OR = 0.80 (95% CI 0.69, 0.93; P = 0.004), respectively (P(trend) = 0.02). There was no evidence of effect modification by tumor characteristics. rs10235235 was, however, associated with age at menarche in controls (P(trend) = 0.005) but not cases (P(trend) = 0.97). Consequently the association between rs10235235 and breast cancer risk differed according to age at menarche (P(het) = 0.02); the rare allele of rs10235235 was associated with a reduction in breast cancer risk for women who had their menarche age ≥15 years (OR(het) = 0.84, 95% CI 0.75, 0.94; OR(hom) = 0.81, 95% CI 0.51, 1.30; P(trend) = 0.002) but not for those who had their menarche age ≤11 years (OR(het) = 1.06, 95% CI 0.95, 1.19, OR(hom) = 1.07, 95% CI 0.67, 1.72; P(trend) = 0.29).ConclusionsTo our knowledge rs10235235 is the first single nucleotide polymorphism to be associated with both breast cancer risk and age at menarche consistent with the well-documented association between later age at menarche and a reduction in breast cancer risk. These associations are likely mediated via an effect on circulating hormone levels.

Published
2014

4. Large-scale genotyping identifies 41 new loci associated with breast cancer risk

Author

Michailidou, Kyriaki, Hall, Per, Gonzalez-Neira, Anna, Ghoussaini, Maya, Dennis, Joe, Milne, Roger L, Schmidt, Marjanka K, Chang-Claude, Jenny, Bojesen, Stig E, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Lee, Andrew, Turnbull, Clare, Rahman, Nazneen, Fletcher, Olivia, Peto, Julian, Gibson, Lorna, dos Santos Silva, Isabel, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Czene, Kamila, Irwanto, Astrid, Liu, Jianjun, Waisfisz, Quinten, Meijers-Heijboer, Hanne, Adank, Muriel, van der Luijt, Rob B, Hein, Rebecca, Dahmen, Norbert, Beckman, Lars, Meindl, Alfons, Schmutzler, Rita K, Müller-Myhsok, Bertram, Lichtner, Peter, Hopper, John L, Southey, Melissa C, Makalic, Enes, Schmidt, Daniel F, Uitterlinden, Andre G, Hofman, Albert, Hunter, David J, Chanock, Stephen J, Vincent, Daniel, Bacot, François, Tessier, Daniel C, Canisius, Sander, Wessels, Lodewyk FA, Haiman, Christopher A, Shah, Mitul, Luben, Robert, Brown, Judith, Luccarini, Craig, Schoof, Nils, Humphreys, Keith, Li, Jingmei, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Couch, Fergus J, Wang, Xianshu, Vachon, Celine, Stevens, Kristen N, Lambrechts, Diether, Moisse, Matthieu, Paridaens, Robert, Christiaens, Marie-Rose, Rudolph, Anja, Nickels, Stefan, Flesch-Janys, Dieter, Johnson, Nichola, Aitken, Zoe, Aaltonen, Kirsimari, Heikkinen, Tuomas, Broeks, Annegien, Veer, Laura J Van't, van der Schoot, C Ellen, Guénel, Pascal, Truong, Thérèse, Laurent-Puig, Pierre, Menegaux, Florence, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Zamora, M Pilar, Perez, Jose Ignacio Arias, Pita, Guillermo, Alonso, M Rosario, Cox, Angela, Brock, Ian W, Cross, Simon S, Reed, Malcolm WR, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, and Henderson, Brian E

Subjects
Biological Sciences, Genetics, Human Genome, Prevention, Breast Cancer, Cancer, Breast Neoplasms, Case-Control Studies, Cooperative Behavior, Female, Gene-Environment Interaction, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Risk Factors, Breast and Ovarian Cancer Susceptibility Collaboration, Hereditary Breast and Ovarian Cancer Research Group Netherlands, kConFab Investigators, Australian Ovarian Cancer Study Group, GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P < 5 × 10(-8)). Further analyses suggest that more than 1,000 additional loci are involved in breast cancer susceptibility.

Published
2013

5. Breast Cancer Risk and 6q22.33: Combined Results from Breast Cancer Association Consortium and Consortium of Investigators on Modifiers of BRCA1/2

Author

Kirchhoff, Tomas, Gaudet, Mia M, Antoniou, Antonis C, McGuffog, Lesley, Humphreys, Manjeet K, Dunning, Alison M, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Kang, Daehee, Yoo, Keun-Young, Noh, Dong-Young, Ahn, Sei-Hyun, Dork, Thilo, Schürmann, Peter, Karstens, Johann H, Hillemanns, Peter, Couch, Fergus J, Olson, Janet, Vachon, Celine, Wang, Xianshu, Cox, Angela, Brock, Ian, Elliott, Graeme, Reed, Malcolm WR, Burwinkel, Barbara, Meindl, Alfons, Brauch, Hiltrud, Hamann, Ute, Ko, Yon-Dschun, Broeks, Annegien, Schmidt, Marjanka K, Van ‘t Veer, Laura J, Braaf, Linde M, Johnson, Nichola, Fletcher, Olivia, Gibson, Lorna, Peto, Julian, Turnbull, Clare, Seal, Sheila, Renwick, Anthony, Rahman, Nazneen, Wu, Pei-Ei, Yu, Jyh-Cherng, Hsiung, Chia-Ni, Shen, Chen-Yang, Southey, Melissa C, Hopper, John L, Hammet, Fleur, Van Dorpe, Thijs, Dieudonne, Anne-Sophie, Hatse, Sigrid, Lambrechts, Diether, Andrulis, Irene L, Bogdanova, Natalia, Antonenkova, Natalia, Rogov, Juri I, Prokofieva, Daria, Bermisheva, Marina, Khusnutdinova, Elza, van Asperen, Christi J, Tollenaar, Robert AEM, Hooning, Maartje J, Devilee, Peter, Margolin, Sara, Lindblom, Annika, Milne, Roger L, Arias, José Ignacio, Zamora, M Pilar, Benítez, Javier, Severi, Gianluca, Baglietto, Laura, Giles, Graham G, kConFab, Group, AOCS Study, Spurdle, Amanda B, Beesley, Jonathan, Chen, Xiaoqing, Holland, Helene, Healey, Sue, Wang-Gohrke, Shan, Chang-Claude, Jenny, Mannermaa, Arto, Kosma, Veli-Matti, Kauppinen, Jaana, Kataja, Vesa, Agnarsson, Bjarni A, Caligo, Maria A, Godwin, Andrew K, Nevanlinna, Heli, Heikkinen, Tuomas, Fredericksen, Zachary, Lindor, Noralane, Nathanson, Katherine L, Domchek, Susan M, SWE-BRCA, Loman, Niklas, Karlsson, Per, Askmalm, Marie Stenmark, and Melin, Beatrice

Subjects
Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Cancer, Genetics, Breast Cancer, 2.1 Biological and endogenous factors, Aetiology, Alleles, BRCA1 Protein, BRCA2 Protein, Breast Neoplasms, Chromosomes, Human, Pair 6, Confidence Intervals, Female, Genetic Association Studies, Genetic Predisposition to Disease, Heterozygote, Humans, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Proportional Hazards Models, Receptors, Estrogen, Risk Factors, GENICA Network, kConFab, AOCS Study Group, SWE-BRCA, HEBON, EMBRACE, BCAC/CIMBA, General Science & Technology
Abstract

Recently, a locus on chromosome 6q22.33 (rs2180341) was reported to be associated with increased breast cancer risk in the Ashkenazi Jewish (AJ) population, and this association was also observed in populations of non-AJ European ancestry. In the present study, we performed a large replication analysis of rs2180341 using data from 31,428 invasive breast cancer cases and 34,700 controls collected from 25 studies in the Breast Cancer Association Consortium (BCAC). In addition, we evaluated whether rs2180341 modifies breast cancer risk in 3,361 BRCA1 and 2,020 BRCA2 carriers from 11 centers in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Based on the BCAC data from women of European ancestry, we found evidence for a weak association with breast cancer risk for rs2180341 (per-allele odds ratio (OR) = 1.03, 95% CI 1.00-1.06, p = 0.023). There was evidence for heterogeneity in the ORs among studies (I(2) = 49.3%; p =

Published
2012

6. 7q21-rs6964587 and breast cancer risk: an extended case–control study by the Breast Cancer Association Consortium

Author

Milne, Roger L, Lorenzo-Bermejo, Justo, Burwinkel, Barbara, Malats, Núria, Arias, Jose Ignacio, Zamora, M Pilar, Benítez, Javier, Humphreys, Manjeet K, García-Closas, Montserrat, Chanock, Stephen J, Lissowska, Jolanta, Sherman, Mark E, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Nevanlinna, Heli, Heikkinen, Tuomas, Aittomäki, Kristiina, Blomqvist, Carl, Anton-Culver, Hoda, Ziogas, Argyrios, Devilee, Peter, van Asperen, Christie J, Tollenaar, Rob AEM, Seynaeve, Caroline, Hall, Per, Czene, Kamila, Liu, Jianjun, Irwanto, Astrid K, Kang, Daehee, Yoo, Keun-Young, Noh, Dong-Young, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Fredericksen, Zachary, Nordestgaard, Børge G, Bojesen, Stig E, Flyger, Henrik, Margolin, Sara, Lindblom, Annika, Fasching, Peter A, Schulz-Wendtland, Ruediger, Ekici, Arif B, Beckmann, Matthias W, Wang-Gohrke, Shan, Shen, Chen-Yang, Yu, Jyh-Cherng, Hsu, Huan-Ming, Wu, Pei-Ei, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, English, Dallas R, Cox, Angela, Brock, Ian, Elliott, Graeme, Reed, Malcolm WR, Beesley, Jonathan, Chen, Xiaoqing, Investigators, kConFab, Group, AOCS, Fletcher, Olivia, Gibson, Lorna, dos Santos Silva, Isabel, Peto, Julian, Frank, Bernd, Heil, Joerg, Meindl, Alfons, Chang-Claude, Jenny, Hein, Rebecca, Vrieling, Alina, Flesch-Janys, Dieter, Southey, Melissa C, Smith, Letitia, Apicella, Carmel, Hopper, John L, Dunning, Alison M, Pooley, Karen A, Pharoah, Paul DP, Hamann, Ute, Pesch, Beate, Ko, Yon-Dschun, Network, The GENICA, Easton, Douglas F, and Chenevix-Trench, Georgia

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Breast Cancer, Clinical Research, Cancer, Aetiology, 2.1 Biological and endogenous factors, A Kinase Anchor Proteins, Alleles, Asian People, Breast Neoplasms, Case-Control Studies, Chromosomes, Human, Pair 7, Cytoskeletal Proteins, Female, Genes, Recessive, Genetic Predisposition to Disease, Humans, Logistic Models, Odds Ratio, Polymorphism, Single Nucleotide, Risk Factors, White People, AOCS Group, GENICA Network, Medical and Health Sciences, Genetics & Heredity, Clinical sciences
Abstract

BackgroundUsing the Breast Cancer Association Consortium, the authors previously reported that the single nucleotide polymorphism 7q21-rs6964587 (AKAP9-M463I) is associated with breast cancer risk. The authors have now assessed this association more comprehensively using 16 independent case-control studies.MethodsThe authors genotyped 14,843 invasive case patients and 19,852 control subjects with white European ancestry and 2595 invasive case patients and 2192 control subjects with Asian ancestry. ORs were estimated by logistic regression, adjusted for study. Heterogeneity in ORs was assessed by fitting interaction terms or by subclassifying case patients and applying polytomous logistic regression.ResultsFor white European women, the minor T allele of 7q21-rs6964587 was associated with breast cancer risk under a recessive model (OR 1.07, 95% CI 1.00 to 1.13, p = 0.04). Results were inconclusive for Asian women. From a combined analysis of 24 154 case patients and 33,376 control subjects of white European ancestry from the present and previous series, the best-fitting model was recessive, with an estimated OR of 1.08 (95% CI 1.03 to 1.13, p = 0.001). The OR was greater at younger ages (p trend = 0.01).ConclusionThis may be the first common susceptibility allele for breast cancer to be identified with a recessive mode of inheritance.

Published
2011

7. Investigating the genetic relationship between Alzheimer’s disease and cancer using GWAS summary statistics

Author

Feng, Yen Chen Anne, Cho, Kelly, Lindstrom, Sara, Kraft, Peter, Cormack, Jean, Blalock, Kendra, Campbell, Peter T., Casey, Graham, Conti, David V., Edlund, Christopher K., Figueiredo, Jane, James Gauderman, W., Gong, Jian, Green, Roger C., Gruber, Stephen B., Harju, John F., Harrison, Tabitha A., Jacobs, Eric J, Jenkins, Mark A., Jiao, Shuo, Li, Li, Lin, Yi, Manion, Frank J., Moreno, Victor, Mukherjee, Bhramar, Peters, Ulrike, Raskin, Leon, Schumacher, Fredrick R., Seminara, Daniela, Severi, Gianluca, Stenzel, Stephanie L., Thomas, Duncan C., Hopper, John L., Southey, Melissa C., Makalic, Enes, Schmidt, Daniel F., Fletcher, Olivia, Peto, Julian, Gibson, Lorna, Dos-Santos-Silva, Isabel, Hunter, David J., Lindström, Sara, Ahsan, Habib, Whittemore, Alice S., Waisfisz, Quinten, Meijers-Heijboer, Hanne, Adank, Muriel A., van der Luijt, Rob B., Uitterlinden, Andre G, IGAP Consortium, Colorectal Transdisciplinary Study (CORECT), Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE), CCA - Cancer biology and immunology, Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, and Amsterdam Reproduction & Development (AR&D)

Subjects
0301 basic medicine, Male, Genome-wide association study, Single-nucleotide polymorphism, Disease, Biology, Genetic correlation, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, Alzheimer Disease, Neoplasms, Genetics, medicine, Humans, Genetics(clinical), 1000 Genomes Project, Genetics (clinical), Cancer, medicine.disease, 030104 developmental biology, Adenocarcinoma, Female, Genome-Wide Association Study
Abstract

Growing evidence from both epidemiology and basic science suggest an inverse association between Alzheimer’s disease (AD) and cancer. We examined the genetic relationship between AD and various cancer types using GWAS summary statistics from the IGAP and GAME-ON consortia. Sample size ranged from 9931 to 54,162; SNPs were imputed to the 1000 Genomes European panel. Our results based on cross-trait LD Score regression showed a significant positive genetic correlation between AD and five cancers combined (colon, breast, prostate, ovarian, lung; r g = 0.17, P = 0.04), and specifically with breast cancer (ER-negative and overall; r g = 0.21 and 0.18, P = 0.035 and 0.034) and lung cancer (adenocarcinoma, squamous cell carcinoma and overall; r g = 0.31, 0.38 and 0.30, P = 0.029, 0.016, and 0.006). Estimating the genetic correlation in specific functional categories revealed mixed positive and negative signals, notably stronger at annotations associated with increased enhancer activity. This suggests a role of gene expression regulators in the shared genetic etiology between AD and cancer, and that some shared variants modulate disease risk concordantly while others have effects in opposite directions. Due to power issues, we did not detect cross-phenotype associations at individual SNPs. This genetic overlap is not likely driven by a handful of major loci. Our study is the first to examine the co-heritability of AD and cancer leveraging large-scale GWAS results. The functional categories highlighted in this study need further investigation to illustrate the details of the genetic sharing and to bridge between different levels of associations.

Published
2017

8. Complications and pathology results from CT-guided biopsy of suspected lung cancers

Author

Gibson, Lorna

Subjects
genetic structures, Neoplasia, Biopsy, Outcomes, Lung, Cancer, Percutaneous, CT
Abstract

Aims and objectives Methods and materials Results Conclusion Personal information References, Aims and objectives: Background Only 28% of men with lung cancer in Scotland survive one year after diagnosis, and this falls to 7% at five years (32% and 10% respectively for women). Median survival is 6 months from diagnosis for patients aged 15-74 [1]. Our centre...

Published
2014
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9. The prevalence of potentially serious incidental findings on cardiac MR imaging: a systematic review

Author

Gibson, Lorna

Subjects
Medico-legal issues, Oncology, Epidemiology, MR, Cardiac, Respiratory system, Cancer
Abstract

Purpose Methods and materials Results Conclusion Personal information References, Purpose: The UK biobank is a national cohort of 500,000 people aged 40-69 who were recruited in 2006-2010. All participants have undergone baseline physical examination and provided biological samples and data on activity levels and diet, and have agreed to...

Published
2014
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