Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/7223
Title: Association weight matrix for the genetic dissection of puberty in beef cattle
Contributor(s): Fortes, MRS (author); Reverter, A (author); Zhang, Yuandan  (author); Collis, E (author); Nagaraj, S H (author); Jonsson, N N (author); Prayaga, KC (author); Barris, W (author); Hawken, RJ (author)
Publication Date: 2010
DOI: 10.1073/pnas.1002044107
Handle Link: https://hdl.handle.net/1959.11/7223
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.
Publication Type: Journal Article
Source of Publication: Proceedings of the National Academy of Sciences, 107(31), p. 13642-13647
Publisher: National Academy of Sciences
Place of Publication: United States of America
ISSN: 0027-8424
1091-6490
Field of Research (FOR): 060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)
060408 Genomics
Socio-Economic Outcome Codes: 830301 Beef Cattle
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
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