“Embryo Selection For Intelligence § Measurement Error in Polygenic Scores”, Gwern2016-01-22 (, , , , , , , ; similar)⁠:

A cost-benefit analysis of the marginal cost of IVF-based embryo selection for intelligence and other traits with 2016–2017 state-of-the-art

Like GCTA, measurement error affects polygenic scores, in reducing both discovery power and providing a downwardly-biased estimate of how good the PGS is. The GCTAs give a substantially lower estimate than the one we care about if we forget to correct for measurement error; is this true for the PGSes above as well?

Checking some the GWASes in question where possible, it seems there is an unspoken general practice of using the smallest highest-quality-phenotyped cohorts as the heldout validation sets, so the measurement error turns out to not be too serious, and we don’t need to take it much into consideration.