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3 results on '"Amin Al Olama A"'

1. Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types.

Author

Kar, Siddhartha P, Beesley, Jonathan, Amin Al Olama, Ali, Michailidou, Kyriaki, Tyrer, Jonathan, Kote-Jarai, ZSofia, Lawrenson, Kate, Lindstrom, Sara, Ramus, Susan J, Thompson, Deborah J, ABCTB Investigators, Kibel, Adam S, Dansonka-Mieszkowska, Agnieszka, Michael, Agnieszka, Dieffenbach, Aida K, Gentry-Maharaj, Aleksandra, Whittemore, Alice S, Wolk, Alicja, Monteiro, Alvaro, Peixoto, Ana, Kierzek, Andrzej, Cox, Angela, Rudolph, Anja, Gonzalez-Neira, Anna, Wu, Anna H, Lindblom, Annika, Swerdlow, Anthony, AOCS Study Group & Australian Cancer Study (Ovarian Cancer), APCB BioResource, Ziogas, Argyrios, Ekici, Arif B, Burwinkel, Barbara, Karlan, Beth Y, Nordestgaard, Børge G, Blomqvist, Carl, Phelan, Catherine, McLean, Catriona, Pearce, Celeste Leigh, Vachon, Celine, Cybulski, Cezary, Slavov, Chavdar, Stegmaier, Christa, Maier, Christiane, Ambrosone, Christine B, Høgdall, Claus K, Teerlink, Craig C, Kang, Daehee, Tessier, Daniel C, Schaid, Daniel J, Stram, Daniel O, Cramer, Daniel W, Neal, David E, Eccles, Diana, Flesch-Janys, Dieter, Edwards, Digna R Velez, Wokozorczyk, Dominika, Levine, Douglas A, Yannoukakos, Drakoulis, Sawyer, Elinor J, Bandera, Elisa V, Poole, Elizabeth M, Goode, Ellen L, Khusnutdinova, Elza, Høgdall, Estrid, Song, Fengju, Bruinsma, Fiona, Heitz, Florian, Modugno, Francesmary, Hamdy, Freddie C, Wiklund, Fredrik, Giles, Graham G, Olsson, Håkan, Wildiers, Hans, Ulmer, Hans-Ulrich, Pandha, Hardev, Risch, Harvey A, Darabi, Hatef, Salvesen, Helga B, Nevanlinna, Heli, Gronberg, Henrik, Brenner, Hermann, Brauch, Hiltrud, Anton-Culver, Hoda, Song, Honglin, Lim, Hui-Yi, McNeish, Iain, Campbell, Ian, Vergote, Ignace, Gronwald, Jacek, Lubiński, Jan, Stanford, Janet L, Benítez, Javier, Doherty, Jennifer A, Permuth, Jennifer B, Chang-Claude, Jenny, Donovan, Jenny L, Dennis, Joe, Schildkraut, Joellen M, Schleutker, Johanna, and Hopper, John L

Subjects
ABCTB Investigators, AOCS Study Group & Australian Cancer Study, APCB BioResource, kConFab Investigators, NBCS Investigators, GENICA Network, PRACTICAL consortium, Humans, Breast Neoplasms, Ovarian Neoplasms, Prostatic Neoplasms, Genetic Predisposition to Disease, Case-Control Studies, Chromosome Mapping, Signal Transduction, Organ Specificity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Female, Male, Gene Regulatory Networks, Meta-Analysis as Topic, Enhancer Elements, Genetic, Genome-Wide Association Study, Genetic Loci, Datasets as Topic, Polymorphism, Single Nucleotide, Enhancer Elements, Genetic, Urologic Diseases, Prostate Cancer, Human Genome, Rare Diseases, Genetics, Cancer, Breast Cancer, Aging, Ovarian Cancer, 2.1 Biological and endogenous factors, Oncology and Carcinogenesis
Abstract

UnlabelledBreast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10(-8) seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type-specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10(-5) in the three-cancer meta-analysis.SignificanceWe demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers. Cancer Discov; 6(9); 1052-67. ©2016 AACR.This article is highlighted in the In This Issue feature, p. 932.

Published
2016

2. A Large-Scale Analysis of Genetic Variants within Putative miRNA Binding Sites in Prostate Cancer

Author

Ernest K. Amankwah, Cezary Cybulski, Kay-Tee Khaw, Donghwa Kim, Stephen N. Thibodeau, Fredrik Wiklund, Zsofia Kote-Jarai, Radka Kaneva, Amanda B. Spurdle, Adam S. Kibel, Rosalind A. Eeles, Børge G. Nordestgaard, Doug Easton, Sara Benlloch, Graham G. Giles, Christopher A. Haiman, Christiane Maier, Manuel R. Teixeira, Shane Stegeman, Kerenaftali Klein, Judith A. Clements, Janet L. Stanford, Hui-Yi Lin, Hermann Brenner, Henrik Grönberg, Jyotsna Batra, Ali Amin Al Olama, Kenneth Muir, David E. Neal, Ruth C. Travis, Thomas A. Sellers, Srilakshmi Srinivasan, Lisa A. Cannon-Albright, Jennifer Permuth-Wey, William J. Blot, Jong Y. Park, Johanna Schleutker, Paul D.P. Pharoah, and Tracy A. O'Mara

Subjects
Adult, Male, Genotype, Quantitative Trait Loci, MiRNA binding, Single-nucleotide polymorphism, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, R-SNARE Proteins, Prostate cancer, medicine, Cluster Analysis, Humans, RNA, Messenger, 3' Untranslated Regions, Alleles, Genetic association, Aged, Neoplasm Staging, Genetics, Binding Sites, Gene Expression Profiling, Case-control study, Genetic Variation, Prostatic Neoplasms, Middle Aged, Prostate-Specific Antigen, medicine.disease, Gene Expression Regulation, Neoplastic, Prostate-specific antigen, MicroRNAs, Oncology, Case-Control Studies, Kallikreins, Neoplasm Grading
Abstract

Prostate cancer is the second most common malignancy among men worldwide. Genome-wide association studies have identified 100 risk variants for prostate cancer, which can explain approximately 33% of the familial risk of the disease. We hypothesized that a comprehensive analysis of genetic variations found within the 3′ untranslated region of genes predicted to affect miRNA binding (miRSNP) can identify additional prostate cancer risk variants. We investigated the association between 2,169 miRSNPs and prostate cancer risk in a large-scale analysis of 22,301 cases and 22,320 controls of European ancestry from 23 participating studies. Twenty-two miRSNPs were associated (P < 2.3 × 10−5) with risk of prostate cancer, 10 of which were within 7 genes previously not mapped by GWAS studies. Further, using miRNA mimics and reporter gene assays, we showed that miR-3162-5p has specific affinity for the KLK3 rs1058205 miRSNP T-allele, whereas miR-370 has greater affinity for the VAMP8 rs1010 miRSNP A-allele, validating their functional role. Significance: Findings from this large association study suggest that a focus on miRSNPs, including functional evaluation, can identify candidate risk loci below currently accepted statistical levels of genome-wide significance. Studies of miRNAs and their interactions with SNPs could provide further insights into the mechanisms of prostate cancer risk. Cancer Discov; 5(4); 368–79. ©2015 AACR. See related commentary by Yousef, p. 351 This article is highlighted in the In This Issue feature, p. 333

Published
2014

3. A Large-Scale Analysis of Genetic Variants within Putative miRNA Binding Sites in Prostate Cancer.

Author

Stegeman S, Amankwah E, Klein K, O'Mara TA, Kim D, Lin HY, Permuth-Wey J, Sellers TA, Srinivasan S, Eeles R, Easton D, Kote-Jarai Z, Amin Al Olama A, Benlloch S, Muir K, Giles GG, Wiklund F, Gronberg H, Haiman CA, Schleutker J, Nordestgaard BG, Travis RC, Neal D, Pharoah P, Khaw KT, Stanford JL, Blot WJ, Thibodeau S, Maier C, Kibel AS, Cybulski C, Cannon-Albright L, Brenner H, Kaneva R, Teixeira MR, Spurdle AB, Clements JA, Park JY, and Batra J

Subjects
3' Untranslated Regions, Adult, Aged, Alleles, Case-Control Studies, Cluster Analysis, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Genotype, Humans, Kallikreins genetics, Kallikreins metabolism, Male, MicroRNAs chemistry, Middle Aged, Neoplasm Grading, Neoplasm Staging, Polymorphism, Single Nucleotide, Prostate-Specific Antigen genetics, Prostate-Specific Antigen metabolism, Prostatic Neoplasms metabolism, Prostatic Neoplasms pathology, Quantitative Trait Loci, R-SNARE Proteins genetics, R-SNARE Proteins metabolism, RNA, Messenger chemistry, Binding Sites, Genetic Variation, MicroRNAs genetics, Prostatic Neoplasms genetics, RNA, Messenger genetics
Abstract

Unlabelled: Prostate cancer is the second most common malignancy among men worldwide. Genome-wide association studies have identified 100 risk variants for prostate cancer, which can explain approximately 33% of the familial risk of the disease. We hypothesized that a comprehensive analysis of genetic variations found within the 3' untranslated region of genes predicted to affect miRNA binding (miRSNP) can identify additional prostate cancer risk variants. We investigated the association between 2,169 miRSNPs and prostate cancer risk in a large-scale analysis of 22,301 cases and 22,320 controls of European ancestry from 23 participating studies. Twenty-two miRSNPs were associated (P<2.3×10(-5)) with risk of prostate cancer, 10 of which were within 7 genes previously not mapped by GWAS studies. Further, using miRNA mimics and reporter gene assays, we showed that miR-3162-5p has specific affinity for the KLK3 rs1058205 miRSNP T-allele, whereas miR-370 has greater affinity for the VAMP8 rs1010 miRSNP A-allele, validating their functional role., Significance: Findings from this large association study suggest that a focus on miRSNPs, including functional evaluation, can identify candidate risk loci below currently accepted statistical levels of genome-wide significance. Studies of miRNAs and their interactions with SNPs could provide further insights into the mechanisms of prostate cancer risk., (©2015 American Association for Cancer Research.)

Published
2015
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