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Association weight matrix for the genetic dissection of puberty in beef cattle

Fortes, Marina R S ; Reverter, Antonio ; Zhang, Yuandan ; Collis, Eliza ; Nagaraj, Shivashankar H ; Jonsson, Nick N ; Prayaga, Kishore C ; Barris, Wes ; Hawken, Rachel J

Proceedings of the National Academy of Sciences of the United States of America, 03 August 2010, Vol.107(31), pp.13642-7 [Periódico revisado por pares]

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  • Título:
    Association weight matrix for the genetic dissection of puberty in beef cattle
  • Autor: Fortes, Marina R S ; Reverter, Antonio ; Zhang, Yuandan ; Collis, Eliza ; Nagaraj, Shivashankar H ; Jonsson, Nick N ; Prayaga, Kishore C ; Barris, Wes ; Hawken, Rachel J
  • Assuntos: Aging ; Polymorphism, Single Nucleotide ; Cattle -- Genetics
  • É parte de: Proceedings of the National Academy of Sciences of the United States of America, 03 August 2010, Vol.107(31), pp.13642-7
  • Descrição: We describe a systems biology approach for the genetic dissection of complex traits based on applying gene network theory to the results from genome-wide associations. The associations of single-nucleotide polymorphisms (SNP) that were individually associated with a primary phenotype of interest, age at puberty in our study, were explored across 22 related traits. Genomic regions were surveyed for genes harboring the selected SNP. As a result, an association weight matrix (AWM) was constructed with as many rows as genes and as many columns as traits. Each {i, j} cell value in the AWM corresponds to the z-score normalized additive effect of the ith gene (via its neighboring SNP) on the jth trait. Columnwise, the AWM recovered the genetic correlations estimated via pedigree-based restricted maximum-likelihood methods. Rowwise, a combination of hierarchical clustering, gene network, and pathway analyses identified genetic drivers that would have been missed by standard genome-wide association...
  • Idioma: Inglês

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