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GOG 8020/210: Risk stratification of lymph node metastasis, disease progression and survival using single nucleotide polymorphisms in endometrial cancer: An NRG oncology/gynecologic oncology group study.

Gynecologic oncology | 2019

The ability to stratify a patient's risk of metastasis and survival permits more refined care. A proof of principle study was undertaken to investigate the relationship between single nucleotide polymorphisms (SNPs) in literature based candidate cancer genes and the risk of nodal metastasis and clinical outcome in endometrioid endometrial cancer (EEC) patients.

Pubmed ID: 30827726 RIS Download

Research resources used in this publication

None found

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: U10 CA180868
  • Agency: NCI NIH HHS, United States
    Id: UG1 CA233331
  • Agency: NCI NIH HHS, United States
    Id: R01 CA071754
  • Agency: NCATS NIH HHS, United States
    Id: UL1 TR001863
  • Agency: NCI NIH HHS, United States
    Id: UG1 CA233324
  • Agency: NCI NIH HHS, United States
    Id: UG1 CA233193
  • Agency: NCI NIH HHS, United States
    Id: U10 CA180833
  • Agency: NCI NIH HHS, United States
    Id: U10 CA180822
  • Agency: NCI NIH HHS, United States
    Id: UG1 CA233339
  • Agency: NCI NIH HHS, United States
    Id: U24 CA196067
  • Agency: NCI NIH HHS, United States
    Id: P30 CA016058

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International HapMap Project (tool)

RRID:SCR_002846

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A multi-country collaboration among scientists and funding agencies to develop a public resource where genetic similarities and differences in human beings are identified and catalogued. Using this information, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. All of the information generated by the Project will be released into the public domain. Their goal is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. Public and private organizations in six countries are participating in the International HapMap Project. Data generated by the Project can be downloaded with minimal constraints. HapMap project related data, software, and documentation include: bulk data on genotypes, frequencies, LD data, phasing data, allocated SNPs, recombination rates and hotspots, SNP assays, Perlegen amplicons, raw data, inferred genotypes, and mitochondrial and chrY haplogroups; Generic Genome Browser software; protocols and information on assay design, genotyping and other protocols used in the project; and documentation of samples/individuals and the XML format used in the project.

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