GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer (2013)
- Autor:
- Autor USP: NOUSHMEHR, HOUTAN - FMRP
- Unidade: FMRP
- DOI: 10.1038/ng.2564
- Subjects: NEOPLASIAS OVARIANAS; INTERAÇÃO GENÓTIPO-AMBIENTE; POLIMORFISMO; FATORES DE RISCO; ESTUDOS DE CASOS E CONTROLES
- Language: Inglês
- Imprenta:
- Source:
- Título: Nature Genetics
- ISSN: 1061-4036
- Volume/Número/Paginação/Ano: v. 45, n. 4, p. 362-370, 2013
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: unspecified-oa
-
ABNT
NOUSHMEHR, Houtan. GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer. Nature Genetics, v. 45, n. 4, p. 362-370, 2013Tradução . . Disponível em: https://doi.org/10.1038/ng.2564. Acesso em: 08 jan. 2026. -
APA
Noushmehr, H. (2013). GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer. Nature Genetics, 45( 4), 362-370. doi:10.1038/ng.2564 -
NLM
Noushmehr H. GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer [Internet]. Nature Genetics. 2013 ; 45( 4): 362-370.[citado 2026 jan. 08 ] Available from: https://doi.org/10.1038/ng.2564 -
Vancouver
Noushmehr H. GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer [Internet]. Nature Genetics. 2013 ; 45( 4): 362-370.[citado 2026 jan. 08 ] Available from: https://doi.org/10.1038/ng.2564 - Integrative analysis identifies functional prostate cancer risk SNPs in genomic regulatory regions defined as enhancers
- Genome-wide fingerprinting of regulatory chromatin to evaluate the tissue specific origins of high-grade serous ovarian cancer
- Epigenomic (DNA methylation and expression) signatures define subsets of both IDHmut and IDHwt glioma with distinct clinical outcomes
- Molecular patterns at regulatory elements diferentially methylated in glioma
- Clinical data that matters: a distillation of neuro-oncology clinical trial inclusion criteria using machine learning
- Genomic landscape of idh-mutant primary glioblastomas shows distinct clinical and molecular features and that CDKN2A should be supplemented with MGMTp and G-CIMP for precise prognostication
- Tumor-myeloid cell interactions are dynamic and influence the evolutionary trajectory of adult diffuse glioma
- DNA methylation signature associated with risk of recurrence in papillary thyroid carcinoma
- DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management
- SpidermiR: an R/Bioconductor package for integrative analysis with miRNA data
Informações sobre o DOI: 10.1038/ng.2564 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
