Genome-enabled prediction of quantitative traits in chickens using genomic annotation

Gota Morota; Rostam Abdollahi-Arpanahi; Andreas Kranis; Daniel Gianola

doi:10.1186/1471-2164-15-109

Genome-enabled prediction of quantitative traits in chickens using genomic annotation

Gota Morota, Rostam Abdollahi-Arpanahi, Andreas Kranis, Daniel Gianola

Royal (Dick) School of Veterinary Studies

Research output: Contribution to journal › Article › peer-review

Abstract

Genome-wide association studies have been deemed successful for identifying statistically associated genetic variants of large effects on complex traits. Past studies have found enrichment of trait-associated SNPs in functionally annotated regions, while depletion was reported for intergenic regions (IGR). However, no systematic examination of connections between genomic regions and predictive ability of complex phenotypes has been carried out.

Original language	English
Article number	109 (2014)
Journal	BMC Genomics
Volume	15
Issue number	1
DOIs	https://doi.org/10.1186/1471-2164-15-109
Publication status	Published - 7 Feb 2014

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10.1186/1471-2164-15-109

Genome-enabled prediction of quantitative traits in chickens using genomic annotation
© 2014 Morota et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Final published version, 351 KBLicence: Creative Commons: Attribution (CC-BY)

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AB - Genome-wide association studies have been deemed successful for identifying statistically associated genetic variants of large effects on complex traits. Past studies have found enrichment of trait-associated SNPs in functionally annotated regions, while depletion was reported for intergenic regions (IGR). However, no systematic examination of connections between genomic regions and predictive ability of complex phenotypes has been carried out.

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Genome-enabled prediction of quantitative traits in chickens using genomic annotation

Abstract

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