047
The Use of Whole Genome Sequence Data to Estimate Genetic Relationships Including Rare Alleles Information

Friday, August 22, 2014: 4:00 PM
Cypress Room (The Westin Bayshore)
Sonia E Eynard , Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, Wageningen, Netherlands
Jack J Windig , Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, Wageningen, Netherlands
Gregoire Leroy , AgroParisTech, Paris, France
Etienne Verrier , INRA UMR 1313 GABI, Jouy en Josas, France
Sipke Joost Hiemstra , Centre for Genetic Resources the Netherlands, Wageningen UR, Wageningen, Netherlands
Rianne van Binsbergen , Biometris, Wageningen UR, Wageningen, Netherlands
Mario P. L. Calus , Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, Wageningen, Netherlands
Abstract Text: Whole genome sequencing technologies are rapidly developing, now still remains to infer how this type of data can be useful for selection strategy, especially in livestock diversity conservation. In this study, relationship matrices were computed for 118 Holstein bulls, key ancestors of the current population, from three different types of data: pedigree records, 50K SNP chips and whole genome sequences, considering three different scenarios (with, without or only using rare alleles). Estimates from different data were highly correlated. Rare alleles had a significant impact on relationship estimates, mostly when whole genome sequence data were used. Hence sequence data, and information from rare alleles, are potentially of use for better relationship computation. Estimation made with this type of data may result in different individual optimal contributions and influence selection strategies and conservation decisions of livestock species.

Keywords:
Whole genome sequence
Additive genomic relationship
Genetic diversity