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I want to know if selscan can detect natural selection signals in inbreeding populations using whole genome SNP data, despite the long haplotype distances caused by inbreeding and a significant hitchhiking effect, which may weaken the power of detection.
Is this feasible if I use the cross approaches (like xp-nsl or xp-ehh) to detect selection signals between the two populations?
thank you!
The text was updated successfully, but these errors were encountered:
Hmm, this is an interesting question. I haven't tested these stats in any
of these types of populations empirically nor through simulations. I did
try my other method, saltiLASSI, on arabidopsis data, and it seemed to give
sensible results (caveat, I know essentially nothing about arabidopsis
biology). Since that method is also based on haplotypes, I might guess
guess that these could work too. However, I would first want to ensure that
the entire population is engaging in the same rates of selfing, on average,
and honestly I'd probably want to do some simulations to confirm it works
well before going too far down the analysis hole.
Zachary
On Wed, Jul 26, 2023 at 12:51 PM Axolotl233 ***@***.***> wrote:
Hi community,
I want to know if selscan can detect natural selection signals in
inbreeding populations using whole genome SNP data, despite the long
haplotype distances caused by inbreeding and a significant hitchhiking
effect, which may weaken the power of detection.
Is this feasible if I use the cross approaches (like xp-nsl or xp-ehh) to
detect selection signals between the two populations?
thank you!
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Hi community,
I want to know if selscan can detect natural selection signals in inbreeding populations using whole genome SNP data, despite the long haplotype distances caused by inbreeding and a significant hitchhiking effect, which may weaken the power of detection.
Is this feasible if I use the cross approaches (like xp-nsl or xp-ehh) to detect selection signals between the two populations?
thank you!
The text was updated successfully, but these errors were encountered: