Partitioning genetic variance by sets of randomly sampled genes for complex traits in D. melanogaster and B. taurus, has revealed that population structure can affect variance decomposition. In fruit flies, we found that a high likelihood ratio is correlated with a high proportion of explained genetic variance. However, in Holstein cattle, a group of genes that explained close to none of the genetic variance could also have a high likelihood ratio. This is still a good separation of signal and noise, but instead of capturing the genetic signal in the marker set being tested, we are instead capturing pure noise. Therefore it is necessary to use both criteria, high likelihood ratio in favor of a more complex genetic model and proportion of genetic variance explained, to identify biologically important gene groups
Original language
English
Publication year
18 Aug 2014
Number of pages
3
Publication status
Published - 18 Aug 2014
Event
10th World Congress on Genetics Applied to Livestock Production (WCGALP) - The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4, Vancouver, Canada Duration: 17 Aug 2014 → 22 Aug 2014 Conference number: 10th
Conference
Conference
10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Number
10th
Location
The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4
Country
Canada
City
Vancouver
Period
17/08/2014 → 22/08/2014
Research areas
Linear mixed models, Holstein dairy cattle, Fruit flies