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

Title
Association weight matrix for the genetic dissection of puberty in beef cattle
Publication Date
2010
Author(s)
Fortes, MRS
Reverter, A
Zhang, Yuandan
( author )
OrcID: https://orcid.org/0000-0002-1998-3313
Email: yzhang4@une.edu.au
UNE Id une-id:yzhang4
Collis, E
Nagaraj, S H
Jonsson, N N
Prayaga, KC
Barris, W
Hawken, RJ
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
National Academy of Sciences
Place of publication
United States of America
DOI
10.1073/pnas.1002044107
UNE publication id
une:7389
Abstract
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 it 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 studies. Finally, the promoter regions of the AWM-predicted targets of three key transcription factors (TFs), estrogen-related receptor γ (ESRRG), Pal3 motif, bound by a PPAR-γ homodimer, IR3 sites (PPARG), and Prophet of Pit 1, PROP paired-like homeobox 1 (PROP1), were surveyed to identify binding sites corresponding to those TFs. Applied to our case, the AWM results recapitulate the known biology of puberty, captured experimentally validated binding sites, and identified candidate genes and gene–gene interactions for further investigation.
Link
Citation
Proceedings of the National Academy of Sciences, 107(31), p. 13642-13647
ISSN
1091-6490
0027-8424
Start page
13642
End page
13647

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