Fwiw I don't know you mean by saying the EEA is minor in GWAS - I was referring to broader gene-environment correlations like population stratification that are an analogue to it
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I'm not aware of any twins models for testing AxC that are not very esoteric tests for higher moments and therefore require impossible sample sizes. Even for extended family methods you need multi-generational models of the shared environment, which have not been developed.
jul 23, 2025, 6:53 pm • 0 0 • view
The current state of the art is using item level data directly. Sadly it depends on the chosen IRT model, and power is still low. Also, it cannot detect AxC if the estimated C is zero, which is ofc a problem since AxC acts very much like A ris.utwente.nl/ws/portalfil...
jul 25, 2025, 9:28 pm • 1 0 • view
I might be wrong about the last point
jul 25, 2025, 9:29 pm • 0 0 • view
With respect to EEA in GWAS, yes, I was referring to the assumption that environmental confounding / pop strat can be adequately dealt with using linear covariate adjustment and mixed models; which works well enough for most traits (though unfortunately not behavioral/social outcomes).
jul 23, 2025, 6:53 pm • 1 0 • view
I'd think this was possible using national registry data and e.g. pmc.ncbi.nlm.nih.gov/articles/PMC...
jul 23, 2025, 11:39 pm • 1 0 • view
These are cool models but they just treat C's in the two generations as independent latent variables (only sometimes estimable) and they have no way of modeling interactions with either C at all.
jul 24, 2025, 1:23 am • 0 0 • view
AxC is simply not a research direction of any interest to the field. Most twin study reviews don't even mention AxC at all, as either a limitation or an open research area or anything (e.g. pubmed.ncbi.nlm.nih.gov/37188734/).
jul 24, 2025, 1:23 am • 0 0 • view