Genetic diversity of NKG2D ligand MICA across worldwide populations (2024)
- Authors:
- USP affiliated authors: ZATZ, MAYANA - IB ; DUARTE, YEDA APARECIDA DE OLIVEIRA - HU ; MENDES JUNIOR, CELSO TEIXEIRA - FFCLRP ; MEYER, DIOGO - IB ; NASLAVSKY, MICHEL SATYA - IB
- Unidades: IB; HU; FFCLRP
- Subjects: DIVERSIDADE GENÉTICA; POPULAÇÃO; LIGANTES
- Keywords: MICA; Genetic diversity; NKG2D
- Agências de fomento:
- Language: Português
- Imprenta:
- Publisher: Sociedade Brasileira de Genética (SBG)
- Publisher place: Ribeirão Preto
- Date published: 2024
- Source:
- Título: Resumos (e-Book )
- Conference titles: International Congress of the Brazilian Genetics Society - CBG
-
ABNT
CIRIACO, Viviane Aparecida de Oliveira et al. Genetic diversity of NKG2D ligand MICA across worldwide populations. 2024, Anais.. Ribeirão Preto: Sociedade Brasileira de Genética (SBG), 2024. Disponível em: https://www.sbg.org.br/admin/files/book/book_bcovOe2cEJzf.pdf. Acesso em: 09 fev. 2026. -
APA
Ciriaco, V. A. de O., Rodrigues, A. M., Machado, J. da S., Naslavsky, M. S., Zatz, M., Duarte, Y. A. de O., et al. (2024). Genetic diversity of NKG2D ligand MICA across worldwide populations. In Resumos (e-Book ). Ribeirão Preto: Sociedade Brasileira de Genética (SBG). Recuperado de https://www.sbg.org.br/admin/files/book/book_bcovOe2cEJzf.pdf -
NLM
Ciriaco VA de O, Rodrigues AM, Machado J da S, Naslavsky MS, Zatz M, Duarte YA de O, Mendes Junior CT, Meyer D, Castro CFB, Castelli E da C. Genetic diversity of NKG2D ligand MICA across worldwide populations [Internet]. Resumos (e-Book ). 2024 ;[citado 2026 fev. 09 ] Available from: https://www.sbg.org.br/admin/files/book/book_bcovOe2cEJzf.pdf -
Vancouver
Ciriaco VA de O, Rodrigues AM, Machado J da S, Naslavsky MS, Zatz M, Duarte YA de O, Mendes Junior CT, Meyer D, Castro CFB, Castelli E da C. Genetic diversity of NKG2D ligand MICA across worldwide populations [Internet]. Resumos (e-Book ). 2024 ;[citado 2026 fev. 09 ] Available from: https://www.sbg.org.br/admin/files/book/book_bcovOe2cEJzf.pdf - A multi-ethnic reference panel to impute HLA classical and non-classical class I alleles in admixed samples: testing imputation accuracy in an admixed sample from Brazil
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