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Separating Signal from Noise Estimating SNP-effects and Decomposing Genetic Variation to the Level of QTLs in Pure Breed Duroc Pigs

Research output: Contribution to conferencePaperResearchpeer-review

  • Pernille Merete Sarup, Denmark
  • Just Jensen
  • Stefan McKinnon Edwards, Denmark
  • Tage Ostersen, Pig Research Centre, Copenhagen, Denmark, Denmark
  • Peter Sørensen
  • Mark Antione Henryon, Pig Research Centre, Copenhagen, Denmark, Denmark
Genetic variance for complex traits in animal breeding are often estimated using linear mixed-models that incorporate information from SNP-markers using a realized genomic-relationship matrices. In these models, individual genetic markers are weighted equally and the variation in the genome is treated as a “black box”. While this approach has proved useful in selecting animals with high genetic potential, it does not generate insight into the biological mechanisms underlying trait variation. We propose to build a linear mixed model approach to evaluate the collective effects of sets of SNPs in genomic features and open the “black box”. Using data on ADG and BF from 6,112 entire Duroc boars and a high-density SNP chip, we show here, that the QTL categories with highest relative importance of the SNP set were indeed biological meaningful
Original languageEnglish
Publication year17 Aug 2014
Number of pages3
Publication statusPublished - 17 Aug 2014
Event10th World Congress on Genetics Applied to Livestock Production (WCGALP) - The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4, Vancouver, Canada
Duration: 17 Aug 201422 Aug 2014
Conference number: 10th

Conference

Conference10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Number10th
LocationThe Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4
CountryCanada
CityVancouver
Period17/08/201422/08/2014

    Research areas

  • Genomic feature models, Average Daily Gain, Back fat depth

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