Genome-wide association studies identify susceptibility loci for epithelial ovarian cancer in east Asian women (2019)
- Authors:
- Autor USP: NOUSHMEHR, HOUTAN - FMRP
- Unidade: FMRP
- DOI: 10.1016/j.ygyno.2019.02.023
- Subjects: GENÉTICA DE POPULAÇÕES; ANCESTRAIS; GENOMAS; NEOPLASIAS OVARIANAS
- Keywords: Genome-wide association study; Asian ancestry; Epithelial ovarian cancer; Enhancer; eQTL; Gene regulation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Maryland Heights
- Date published: 2019
- Source:
- Título: Gynecologic Oncology
- ISSN: 0090-8258
- Volume/Número/Paginação/Ano: v. 153, n. 2, p. 343-355, 2019
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LAWRENSON, Kate et al. Genome-wide association studies identify susceptibility loci for epithelial ovarian cancer in east Asian women. Gynecologic Oncology, v. 153, n. 2, p. 343-355, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ygyno.2019.02.023. Acesso em: 18 fev. 2026. -
APA
Lawrenson, K., Song, F., Hazelett, D. J., Kar, S. P., Tyrer, J., Phelan, C. M., et al. (2019). Genome-wide association studies identify susceptibility loci for epithelial ovarian cancer in east Asian women. Gynecologic Oncology, 153( 2), 343-355. doi:10.1016/j.ygyno.2019.02.023 -
NLM
Lawrenson K, Song F, Hazelett DJ, Kar SP, Tyrer J, Phelan CM, Corona RI, Rodríguez-Malavé NI, Seo J-H, Adler E, Noushmehr H. Genome-wide association studies identify susceptibility loci for epithelial ovarian cancer in east Asian women [Internet]. Gynecologic Oncology. 2019 ; 153( 2): 343-355.[citado 2026 fev. 18 ] Available from: https://doi.org/10.1016/j.ygyno.2019.02.023 -
Vancouver
Lawrenson K, Song F, Hazelett DJ, Kar SP, Tyrer J, Phelan CM, Corona RI, Rodríguez-Malavé NI, Seo J-H, Adler E, Noushmehr H. Genome-wide association studies identify susceptibility loci for epithelial ovarian cancer in east Asian women [Internet]. Gynecologic Oncology. 2019 ; 153( 2): 343-355.[citado 2026 fev. 18 ] Available from: https://doi.org/10.1016/j.ygyno.2019.02.023 - TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations]
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Informações sobre o DOI: 10.1016/j.ygyno.2019.02.023 (Fonte: oaDOI API)
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