>Like the genomics revolution where a few far-sighted seers extrapolated that the necessary n for GWASes would increase exponentially & deliver powerful PGSes soon, while sober experts wrung their hands over “missing heritability” & the miraculous complexity of biology & scoff about how such n requirements proved GWAS was a failed paradigm, the future arrived at first slowly and then quickly. Yet, here we are: all honor to the fanatics, and shame and humiliation to the critics!

No. Actual geneticists are still pretty skeptical about GWASes because they tell us almost nothing about, well, the genetics behind complex traits. It's all good and well running GWASes for literally anything (see: twitter.com/sbotgwa or that dude who got a pretty good PGS from correlating a country's GDP with the genotypes of Arabidopsis thaliana available in that country) but that's virtually useless for serious research or if you want to know how genes work.

Actually figuring out to what extent a trait is genetically determined usually involves much more complex methods (e.g. mendelian randomization) and knock-out experiments on animal models, which is all terribly expensive and tedious. But that's how actual genetics works, not waving a magic wand of +15% heritability.