Cancer Genetic Markers of Susceptibility (CGEMS) Prostate Cancer Genome-Wide Association Study (GWAS) - Primary Scan (Stage 1) - PLCO Screening Trial
Ontology highlight
ABSTRACT: The Cancer Genetic Markers of Susceptibility (CGEMS) prostate cancer genome-wide association study (GWAS) included genotyping approximately 550,000 SNPs (Phase 1A with HumanHap300 and Phase 1B HumanHap240, both from Illumina, San Diego, CA) in 1,172 prostate cancer patients and 1,157 controls of European ancestry from the Prostate, Lung, Colon and Ovarian (PLCO, http://www.cancer.gov/prevention/plco/) Cancer Screening Trial. The original analysis published in Nature Genetics [PMID: 17401363] included 2,282 subjects. After improvement and revisions of the original analysis, 2,252 subjects were submitted to dbGaP.
PROVIDER: phs000207.v1.p1 | EGA |
REPOSITORIES: EGA
Publications
Genome-wide association study of prostate cancer identifies a second risk locus at 8q24.
Yeager Meredith M Orr Nick N Hayes Richard B RB Jacobs Kevin B KB Kraft Peter P Wacholder Sholom S Minichiello Mark J MJ Fearnhead Paul P Yu Kai K Chatterjee Nilanjan N Wang Zhaoming Z Welch Robert R Staats Brian J BJ Calle Eugenia E EE Feigelson Heather Spencer HS Thun Michael J MJ Rodriguez Carmen C Albanes Demetrius D Virtamo Jarmo J Weinstein Stephanie S Schumacher Fredrick R FR Giovannucci Edward E Willett Walter C WC Cancel-Tassin Geraldine G Cussenot Olivier O Valeri Antoine A Andriole Gerald L GL Gelmann Edward P EP Tucker Margaret M Gerhard Daniela S DS Fraumeni Joseph F JF Hoover Robert R Hunter David J DJ Chanock Stephen J SJ Thomas Gilles G
Nature genetics 20070401 5
Recently, common variants on human chromosome 8q24 were found to be associated with prostate cancer risk. While conducting a genome-wide association study in the Cancer Genetic Markers of Susceptibility project with 550,000 SNPs in a nested case-control study (1,172 cases and 1,157 controls of European origin), we identified a new association at 8q24 with an independent effect on prostate cancer susceptibility. The most significant signal is 70 kb centromeric to the previously reported SNP, rs14 ...[more]
Similar Datasets
Project description:<p>The Cancer Genetic Markers of Susceptibility (CGEMS) prostate cancer genome-wide association study (GWAS) included genotyping approximately 550,000 SNPs (Phase 1A with HumanHap300 and Phase 1B HumanHap240, both from Illumina, San Diego, CA) in 1,172 prostate cancer patients and 1,157 controls of European ancestry from the Prostate, Lung, Colon and Ovarian (PLCO, <a href="http://www.cancer.gov/prevention/plco/" target="_blank">http://www.cancer.gov/prevention/plco/</a>) Cancer Screening Trial. The original analysis published in Nature Genetics [PMID: <a href="http://ncbi.nlm.nih.gov/pubmed/17401363" target="_blank">17401363</a>] included 2,282 subjects. After improvement and revisions of the original analysis, 2,252 subjects were submitted to dbGaP.</p>
| phs000207 | dbGaP
Project description:A Cartes d'Identite des Tumeurs (CIT) project from the French Ligue Nationale Contre le Cancer (<a href=\\ttp://cit.ligue-cancer.net/\\ target=\\_blank\\>http://cit.ligue-cancer.net</a>). Selecting patients with metastatic clear-cell renal cell carcinoma (m-ccRCC) who might benefit from treatment with targeted tyrosine kinase inhibitors (TKIs) is a challenge. Our aim was to identify molecular markers associated with outcome in m-ccRCC patients treated with sunitinib.\
2016-02-26 | E-MTAB-3274 | biostudies-arrayexpress
Project description:The Human Induced Pluripotent Stem Cells Initiative (HipSci) is generating a large, high-quality reference panel of human IPSC lines. This is a pilot submission of mass-spectrometry analyses from 18 induced pluripotent stem cell lines generated by the HipSci project. This submission includes also data for two embryonic stem cell lines, and one reference sample comprising a mixture of 42 IPSC lines. Associated BioSamples accessions: <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2397999">SAMEA2397999</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2398167">SAMEA2398167</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2398916">SAMEA2398916</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2397948"> SAMEA2397948 </a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2399112">SAMEA2399112</a>,<a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2399257">SAMEA2399257</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2398553">SAMEA2398553</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2398821">SAMEA2398821</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2398316">SAMEA2398316</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2469778">SAMEA2469778</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2399037">SAMEA2399037</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2398656">SAMEA2398656</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2398428">SAMEA2398428</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2469777">SAMEA2469777</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2397959">SAMEA2397959</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2398442">SAMEA2398442</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2398024">SAMEA2398024</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA2398450">SAMEA2398450</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA3402864">SAMEA3402864</a>, <a href="http://www.ebi.ac.uk/biosamples/sample/SAMEA3110364">SAMEA3110364</a>
2016-06-06 | PXD003903 | Pride
Project description:<p>The objective of the Time-Dependent Proteome Study, was to evaluate changes in the proteome and phosphoproteome when there is a delay in freezing tissues following sample (tumor) excision. The biospecimens used are from patient-derived ovarian cancer tumors.<br><a href="http://www.ncbi.nlm.nih.gov/pubmed/24719451" target="_blank">Ref: Mertins P et al., (2014) Mol Cell Proteomics, Apr 9. E-Publication</a><br><a href="http://www.ncbi.nlm.nih.gov/pubmed/25670172" target="_blank">Ref: Gajadhar, A.S., et al., (2015) Cancer Res. Apr 1;75(7):1495-503. Epub 2015 Feb 10.</a></p><ul><li>Dataset imported into MassIVE from <a href="https://cptac-data-portal.georgetown.edu/cptac/s/S013">https://cptac-data-portal.georgetown.edu/cptac/s/S013</a> on 11/05/18</li></ul>
2018-11-05 | MSV000083107 | MassIVE
Project description:The Pan-Cancer Analysis of Whole Genomes (PCAWG) study is an international collaboration to identify common patterns of mutation in more than 2,800 cancer whole genomes from the International Cancer Genome Consortium. Building upon previous work which examined cancer coding regions, this project is exploring the nature and consequences of somatic and germline variations in both coding and non-coding regions, with specific emphasis on cis-regulatory sites, non-coding RNAs, and large-scale structural alterations. Read more on the <a href=\"https://dcc.icgc.org/pcawg\" target=\"_blank\">project website</a>.<br>This is a subset featuring RNA-seq transcription profiling data of 27 cancer subtypes in 19 tissues. Some donors have matched normal tissue. As general reference, a subset of normal tissue samples from the GTEx project were included in this experiment.
2020-02-05 | E-MTAB-5200 | biostudies-arrayexpress
Project description:<a href="https://pdc.esacinc.com/pdc/browse/filters/study_name:TCGA_Colon_Cancer_Proteome" target="_blank">Explore This Study at the NCI Proteomic Data Commons</a><p>The goal of the CPTAC, TCGA Cancer Proteome Study of Colorectal Tissue is to analyze the proteomes of TCGA tumor samples that have been comprehensively characterized by molecular methods (<a href="http://www.ncbi.nlm.nih.gov/pubmed/22810696" target="_blank">Cancer Genome Atlas Network, Nature 2012</a>).</p><p>Ninety-five TCGA tumor samples were used in this study from 90 patients, with 5 samples representing different portions from the same tumor. The samples originated from two TCGA cohorts: 64 are from <a href="https://portal.gdc.cancer.gov/projects/TCGA-COAD" target="_blank">Colon Adenocarcinoma (COAD)</a> samples and 31 are from the <a href="https://portal.gdc.cancer.gov/projects/TCGA-READ" target="_blank">Rectum Adenocarcinoma (READ)</a> collection. The primary data from the liquid chromatography-tandem mass spectrometry (LC-MS/MS) global proteomic profiling of each tumor sample is associated with a data set in the table below. This work was accomplished by the Proteome Characterization Center (PCC) at Vanderbilt University led by Dr. Daniel C. Liebler. Clinical data files contain both the human readable TCGA bar codes and the UUIDs for each sample.</p><p>Complete Data Analysis from Vanderbilt University as published in Nature (Zhang, B., et al., Nature (2014) doi:10.1038/nature13438 Published online) is available <a href="https://cptac-data-portal.georgetown.edu/cptac/s/S022">here</a>.</p><p>Data available on this study page (peptide spectrum matches and protein reports) are from the CPTAC Common Data Analysis Pipeline.</p><p>COAD tumor sample genomic data can be downloaded from <a href="https://portal.gdc.cancer.gov/legacy-archive/search/f?filters=%7B%22op%22:%22and%22,%22content%22:%5B%7B%22op%22:%22in%22,%22content%22:%7B%22field%22:%22cases.project.program.name%22,%22value%22:%5B%22TCGA%22%5D%7D%7D,%7B%22op%22:%22in%22,%22content%22:%7B%22field%22:%22cases.project.project_id%22,%22value%22:%5B%22TCGA-COAD%22%5D%7D%7D%5D%7D" target="_blank">here</a>.<br/>READ tumor sample genomic data can be downloaded from <a href="https://portal.gdc.cancer.gov/legacy-archive/search/f?filters=%7B%22op%22:%22and%22,%22content%22:%5B%7B%22op%22:%22in%22,%22content%22:%7B%22field%22:%22cases.project.program.name%22,%22value%22:%5B%22TCGA%22%5D%7D%7D,%7B%22op%22:%22in%22,%22content%22:%7B%22field%22:%22cases.project.project_id%22,%22value%22:%5B%22TCGA-READ%22%5D%7D%7D%5D%7D" target="_blank">here</a>.<br/><br/>Colon tissue samples (ascending and descending) were obtained from 30 patients. Each sample was analyzed with label free global proteomic profiling. These colon samples, while derived from colon cancer subjects, did not contain tumor. Samples were obtained from the <a href="http://www.vicc.org/jimayersinstitute" target="_blank">Jim Ayers Institute for Precancer Detection and Diagnosis.</a> Data sets below are labeled with the patient identification number and contain data for both ascending and descending tissue samples. Data from colon tumor samples are available in the <a href="https://cptac-data-portal.georgetown.edu/cptac/s/S016" target="_blank">TCGA Colorectal Cancer study</a>.</p><ul><li>Dataset imported into MassIVE from <a href="https://cptac-data-portal.georgetown.edu/cptac/s/S016">https://cptac-data-portal.georgetown.edu/cptac/s/S016</a> and <a href="https://cptac-data-portal.georgetown.edu/cptac/s/S019">https://cptac-data-portal.georgetown.edu/cptac/s/S019</a> on 06/23/16</li><li>Dataset source: <a href="https://pdc.esacinc.com/pdc/browse/filters/study_name:TCGA_Colon_Cancer_Proteome">https://pdc.esacinc.com/pdc/browse/filters/study_name:TCGA_Colon_Cancer_Proteome</a></li></ul>
2016-06-23 | MSV000079852 | MassIVE
Project description:<a href="https://pdc.esacinc.com/pdc/browse/filters/study_name:TCGA_Ovarian_JHU_Glycoproteome|TCGA_Ovarian_JHU_Proteome|TCGA_Ovarian_PNNL_Proteome|TCGA_Ovarian_PNNL_Phosphoproteome_Velos_Qexatvive" target="_blank">Explore This Study at the NCI Proteomic Data Commons</a><p><a href="http://www.ncbi.nlm.nih.gov/pubmed/27372738" target="_blank">Zhang H, Liu T, Zhang Z, Payne SH, Zhang B, McDermott JE et al., Cell (2016), DOI: 10.1016/j.cell.2016.05.069, Published online June 29, 2016.</a></p><p>To provide a detailed analysis of the molecular components and underlying mechanisms associated with ovarian cancer, we performed a comprehensive mass-spectrometry-based proteomic characterization of 174 ovarian tumors previously analyzed by The Cancer Genome Atlas (TCGA), of which 169 were high-grade serous carcinomas (HGSCs). Integrating our proteomic measurements with the genomic data yielded a number of insights into disease, such as how different copy-number alternations influence the proteome, the proteins associated with chromosomal instability, the sets of signaling pathways that diverse genome rearrangements converge on, and the ones most associated with short overall survival. Specific protein acetylations associated with homologous recombination deficiency suggest a potential means for stratifying patients for therapy. In addition to providing a valuable resource, these findings provide a view of how the somatic genome drives the cancer proteome and associations between protein and post-translational modification levels and clinical outcomes in HGSC.</p><p>Information on the complete TCGA Ovarian Serous Cystadenocarcinoma (OV) cohort can be found <a href="https://portal.gdc.cancer.gov/projects/TCGA-OV" target="_blank">here</a>.<br/>The Cancer Genome Atlas Research Network published on the Genomic characterization of the OV cohort in <a href="http://www.ncbi.nlm.nih.gov/pubmed/21720365" target="_blank">Nature</a> on June 30, 2011</p><p>Genomic data for the 174 TCGA samples used in the CPTAC Proteome study can be downloaded from <a href="https://portal.gdc.cancer.gov/legacy-archive/search/f?filters=%7B%22op%22:%22and%22,%22content%22:%5B%7B%22op%22:%22in%22,%22content%22:%7B%22field%22:%22cases.project.program.name%22,%22value%22:%5B%22TCGA%22%5D%7D%7D,%7B%22op%22:%22in%22,%22content%22:%7B%22field%22:%22cases.project.project_id%22,%22value%22:%5B%22TCGA-OV%22%5D%7D%7D%5D%7D" target="_blank">here</a>.</p><p>Peptide-Spectrum-Matches and Protein Reports from the CPTAC Common Data Analysis Pipeline (CDAP) can be downloaded from <a href="https://cptac-data-portal.georgetown.edu/cptac/s/S020" target="_blank">here</a>.</p><ul><li>Dataset imported into MassIVE from <a href="https://cptac-data-portal.georgetown.edu/cptac/s/S026">https://cptac-data-portal.georgetown.edu/cptac/s/S026</a> on 08/28/19</li><li>Dataset source: <a href="https://pdc.esacinc.com/pdc/browse/filters/study_name:TCGA_Ovarian_JHU_Glycoproteome|TCGA_Ovarian_JHU_Proteome|TCGA_Ovarian_PNNL_Proteome|TCGA_Ovarian_PNNL_Phosphoproteome_Velos_Qexatvive" target="_blank">https://pdc.esacinc.com/pdc/browse/filters/study_name:...</a></li></ul>
2019-08-28 | MSV000084246 | MassIVE
Project description:The Pan-Cancer Analysis of Whole Genomes (PCAWG) study is an international collaboration to identify common patterns of mutation in more than 2,800 cancer whole genomes from the International Cancer Genome Consortium. Building upon previous work which examined cancer coding regions, this project is exploring the nature and consequences of somatic and germline variations in both coding and non-coding regions, with specific emphasis on cis-regulatory sites, non-coding RNAs, and large-scale structural alterations. Read more on the <a href=\"https://dcc.icgc.org/pcawg\" target=\"_blank\">project website</a>.<br>This is a subset featuring RNA-seq transcription profiling data of 27 cancer subtypes in 19 tissues. Some donors have matched normal tissue.<br>This is the alternative view of the experiment for Expression Atlas to show gene expression per donor.
2020-02-05 | E-MTAB-5423 | biostudies-arrayexpress
Project description:<p>The objective of the Time-Dependent Proteome Study was to evaluate changes in the proteome and phosphoproteome when there is a delay in freezing tissues following sample (tumor) excision. The biospecimens used are from snap-frozen colon adenocarcinoma core biopsy punches.<br/><a href="http://www.ncbi.nlm.nih.gov/pubmed/25670172" target="_blank">Ref: Gajadhar, A.S., et al., (2015) Cancer Res. Apr 1;75(7):1495-503. Epub 2015 Feb 10.</a></p><ul><li>Dataset imported into MassIVE from <a href="https://cptac-data-portal.georgetown.edu/cptac/s/S023">https://cptac-data-portal.georgetown.edu/cptac/s/S023</a> on 08/28/19</li></ul>
2019-08-28 | MSV000084243 | MassIVE
Project description:The objective of the Time-Dependent Proteome Study was to evaluate changes in the proteome and phosphoproteome when there is a delay in freezing tissues following sample (tumor) excision. The biospecimens used are from human-in-mouse breast cancer tumor samples.<br/><a href="http://www.ncbi.nlm.nih.gov/pubmed/24719451" target="_blank">Ref: Mertins P et al., (2014) Mol Cell Proteomics, Apr 9. E-Publication</a><ul><li>Dataset imported into MassIVE from <a href="https://cptac-data-portal.georgetown.edu/cptac/s/S011">https://cptac-data-portal.georgetown.edu/cptac/s/S011</a> and <a href="https://cptac-data-portal.georgetown.edu/cptac/s/S012">https://cptac-data-portal.georgetown.edu/cptac/s/S012</a> on 08/29/19</li></ul>
2019-08-30 | MSV000084260 | MassIVE