Data/hora: 23/09/2024 22:06:20

Biblioteca(s): 	Embrapa Gado de Leite.	
Data corrente: 	19/12/2018	
Data da última atualização: 	24/01/2023	
Autoria: 	FONSECA, P. A. S.; LEAL, T. P.; SANTOS, F. C.; GOUVEIA, M. H.; ID-LAHOUCINE, S.; ROSSE, I. C.; VENTURA, R. V.; BRUNELI, F. A. T.; MACHADO, M. A.; PEIXOTO, M. G. C. D.; TARAZONA-SANTOS, E.; CARVALHO, M. R. S.	
Afiliação: 	PABLO A. S. FONSECA, UFMG; THIAGO P. LEAL, UFMG; FERNANDA C. SANTOS, UFMG; MATEUS H. GOUVEIA, UFMG; SAMIR ID-LAHOUCINE, University of Guelph, Guelph, Canada; IZINARA C. ROSSE, UFMG; RICARDO V. VENTURA, University of Guelph, Guelph, Canada; Beef Improvement Opportunities, Guelph, Canada; FRANK ANGELO TOMITA BRUNELI, CNPGL; MARCO ANTONIO MACHADO, CNPGL; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL; EDUARDO TARAZONA?SANTOS, UFMG; MARIA RAQUEL S. CARVALHO, UFMG.	
Título: 	Reducing cryptic relatedness in genomic data sets via a central node exclusion algorithm.	
Ano de publicação: 	2018	
Fonte/Imprenta: 	Molecular Ecology Resources, v. 18, n. 3, 2018.	
DOI: 	10.1111/1755-0998.12746	
Idioma: 	Inglês	
Conteúdo: 	Abstract Cryptic relatedness is a confounding factor in genetic diversity and genetic association studies. Development of strategies to reduce cryptic relatedness in a sample is a crucial step for downstream genetic analyses. This study uses a node selection algorithm, based on network degrees of centrality, to evaluate its applicability and impact on evaluation of genetic diversity and population stratification. 1,036 Guzerá (Bos indicus) females were genotyped using Illumina Bovine SNP50 v2 BeadChip. Four strategies were compared. The first and second strategies consist on a iterative exclusion of most related individuals based on PLINK kinship coefficient (&#966;ij) and VanRaden's &#966;ij, respectively. The third and fourth strategies were based on a node selection algorithm. The fourth strategy, Network G matrix, preserved the larger number of individuals with a better diversity and representation from the initial sample. Determining the most probable number of populations was directly affected by the kinship metric. Network G matrix was the better strategy for reducing relatedness due to producing a larger sample, with more distant individuals, a more similar distribution when compared with the full data set in the MDS plots and keeping a better representation of the population structure. Resampling strategies using VanRaden's &#966;ij as a relationship metric was better to infer the relationships among individuals. Moreover, the resampling strategies directly impact the genomic inflation values in genomewide association studies. The use of the node selection algorithm also implies better selection of the most central individuals to be removed, providing a more representative sample.	
Palavras-Chave: 	Bovine; Cryptic relatedness; Genetic diversity; Population genetic structure.	
Thesaurus Nal: 	Inbreeding.	
Categoria do assunto: 	L Ciência Animal e Produtos de Origem Animal	
Registro original: 	Embrapa Gado de Leite (CNPGL)	
Exemplares: 	CNPGL - (24354-1) - UPC - AP - DD -  -  -  - DIS