Noisy data can be useful. What it can't do is be useful enough to say "we have controlled for X". There will be a large unmeasured component of genetic variatio

Noisy data can be useful. What it can't do is be useful enough to say "we have controlled for X". There will be a large unmeasured component of genetic variation - probably about 90% of it - that controlling for the PGS doesn't capture. Given that, throwing a PGS into the regression is not worth the candle.