Pierre de Villemereuil
@pdevillemereuil.bsky.social
Lecturer for @ephe-psl.bsky.social, working at the Institute of Systematics, Evolution, Biodiversity (@isyeb.mnhn.fr, @mnhn.fr, Paris) on the genetics of adaptation in wild populations.
This method is strongly inspired by previous by O Ovaskainen and J Merila :
academic.oup.com/genetics/art...
The key differences are that we use a different test statistics and a quite generally applicable estimator of co-ancestry developed by J Goudet and B Weir:
journals.plos.org/plosgenetics...
academic.oup.com/genetics/art...
The key differences are that we use a different test statistics and a quite generally applicable estimator of co-ancestry developed by J Goudet and B Weir:
journals.plos.org/plosgenetics...
A New Method to Uncover Signatures of Divergent and Stabilizing Selection in Quantitative Traits
Abstract. While it is well understood that the pace of evolution depends on the interplay between natural selection, random genetic drift, mutation, and ge
academic.oup.com
September 24, 2025 at 7:38 AM
This method is strongly inspired by previous by O Ovaskainen and J Merila :
academic.oup.com/genetics/art...
The key differences are that we use a different test statistics and a quite generally applicable estimator of co-ancestry developed by J Goudet and B Weir:
journals.plos.org/plosgenetics...
academic.oup.com/genetics/art...
The key differences are that we use a different test statistics and a quite generally applicable estimator of co-ancestry developed by J Goudet and B Weir:
journals.plos.org/plosgenetics...
We show in the paper that doing so results in calibrated tests of neutrality, even in the face of highly structured scenario, contrary to classical Qst-Fst comparison. 🎉
September 24, 2025 at 7:34 AM
We show in the paper that doing so results in calibrated tests of neutrality, even in the face of highly structured scenario, contrary to classical Qst-Fst comparison. 🎉
The clever trick is since both estimates (using between- or within-population co-ancestry) refer to the same ancestral VA, they should be equal under neutrality.
LogAV thus compare these estimates as the Log-ratio of Ancestral Variances (hence the name) to 0 (the expectation under neutrality).
LogAV thus compare these estimates as the Log-ratio of Ancestral Variances (hence the name) to 0 (the expectation under neutrality).
September 24, 2025 at 7:33 AM
The clever trick is since both estimates (using between- or within-population co-ancestry) refer to the same ancestral VA, they should be equal under neutrality.
LogAV thus compare these estimates as the Log-ratio of Ancestral Variances (hence the name) to 0 (the expectation under neutrality).
LogAV thus compare these estimates as the Log-ratio of Ancestral Variances (hence the name) to 0 (the expectation under neutrality).
Instead of summarising co-ancestry with a global Qst, or Fst, index, LogAV uses the full, carefully designed, matrices of between- and within-population co-ancestry to refer to the same ancestral additive genetic variance.
As such, it fully accounts for the actual population structure.
As such, it fully accounts for the actual population structure.
September 24, 2025 at 7:29 AM
Instead of summarising co-ancestry with a global Qst, or Fst, index, LogAV uses the full, carefully designed, matrices of between- and within-population co-ancestry to refer to the same ancestral additive genetic variance.
As such, it fully accounts for the actual population structure.
As such, it fully accounts for the actual population structure.
I guess it also depends on the type of article. You can have an LLM write up a literature review for you somewhat easily (this says nothing about the quality of the output...) for example.
September 9, 2025 at 9:35 AM
I guess it also depends on the type of article. You can have an LLM write up a literature review for you somewhat easily (this says nothing about the quality of the output...) for example.