Gregor Gorjanc
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gregorgorjanc.bsky.social
Gregor Gorjanc
@gregorgorjanc.bsky.social
Managing and improving populations using data science, genetics and breeding: @HighlanderLab, @RoslinInstitute, & @TheDickVet.

https://www.ed.ac.uk/roslin/highlanderlab
Agree that codex is good. Don’t have experience with CC
January 11, 2026 at 2:04 AM
Good points!!!
December 11, 2025 at 10:52 AM
I guess the challenge is in knowing how much was it used and what for - editing and compactness or straight write-me-an-introduction.
December 10, 2025 at 6:42 PM
I reckon that one challenge is that at the time of donation we will never know all undesirable mutations:( Perhaps the doses should be tested for known undesirable mutations before use.

As to too many doses per donor, if there are more donors the numbers per donor can be decreased.
December 10, 2025 at 6:32 PM
Darn, too much to read;)
November 27, 2025 at 6:49 PM
Reposted by Gregor Gorjanc
In deeper pedigrees, the estimand pertains to the founders of the population. In SNP LMMs, do you know who these are?
November 24, 2025 at 3:16 PM
Reposted by Gregor Gorjanc
Genetic variance of a population is a random variable and not a parameter. It becomes one only if you condition on a particular population in space and time. Given this choice, the variance of other populations is still left as a random variable.
November 24, 2025 at 3:04 PM
Lots in Evolution and similar journals, no?
November 14, 2025 at 11:10 AM
Reposted by Gregor Gorjanc
This tells us that population structure itself, which does not contribute to "directional" allele frequency stratification, can't create fixed effects. What happens there is selection? well that I think is still an open question.
(8/8).
November 5, 2025 at 10:58 PM
Reposted by Gregor Gorjanc
This makes PCs obsolete as a means to handle fixed genetic contributors. Of course, there are non-genetic contributors aligning with genetic factors so PCs might have role, but it has nothing to do with genetics.
(7/n)
November 5, 2025 at 10:56 PM