“The genes can set the rules, but the outcome will vary ... This is especially true in the brain, due to the nonlinear, self-organizing nature of development, where small differences at one stage can have cascading consequences & be amplified across devo.”https://blogs.scientificamerican.com/observations/is-our-future-really-written-in-our-genes/ …
-
-
Replying to @NicoleBarbaro
This is at best an incredibly misleading characterization of Plomin's views, and at worst is pure slander. This statement acts as if Plomin believes that one can perfectly predict someone's future from their DNA, which of course he does not.
@WiringTheBrain, seriously?pic.twitter.com/diZ6KMqlYv
2 replies 0 retweets 5 likes -
Replying to @Scientific_Bird @WiringTheBrain
I would disagree that it is as bad as you portray and not slander at all. Tho after reading Blueprint I was surprised at how negatively his book was received from the academic community despite Plomin absolutely overselling pgs. Overall tho I thought it was a delightful book.
4 replies 0 retweets 4 likes -
Sure. Tho tbf plomin really plays up the fortune teller and the utility if pgs. He really oversells how useful pgs are despite predicting very small % of variance of a trait.
1 reply 1 retweet 2 likes -
Replying to @NicoleBarbaro @WiringTheBrain
If you think that he overvalues, say, 10% of the variation explained, fine, but when he says that 10% variation is explained that is unambigiously opposed to the statement "DNA can predict your future from birth with 100 percent reliability."
1 reply 1 retweet 3 likes -
The reliability refers to the lack of measurement error in polygenic scores I think. No other psychological measurement has as low measurement error as PGS.
2 replies 1 retweet 1 like -
Replying to @KirkegaardEmil @Scientific_Bird and
What is the PGS measurement error? I don't think people report it, and it might not be calculable. What is the likely measurement error of taking a weighted sum of thousands to 100s of thousands of regression coefficients?
1 reply 1 retweet 1 like -
Replying to @RcrdSgrd @Scientific_Bird and
It's very small and usually not reported because studies only measure them once. However,
@razibkhan could calculate some for you because he did multiple array tests on himself. It will be close to the genotyping accuracy which is usually >0.99.1 reply 0 retweets 0 likes -
Replying to @KirkegaardEmil @Scientific_Bird and
I don't think you can see it as technical error alone. These scores measure association with a phenotype, not just genotypes. Genotypes are random variables, but so are each of the thousands of individual weights (the GWAS coefficients)
1 reply 0 retweets 0 likes
That's what Plomin meant I think. You're now talking about the estimation error in the PGS model. That's a different issue all together and Plomin did obviously not mean our current PGS models are perfect (capture 100% heritability).
-
-
Replying to @KirkegaardEmil @Scientific_Bird and
Well, I'm not talking about prediction error. I think we are looking at PGS from different angles, or with definitions that are too fuzzy. Twitter ain't great for ironing out this sort of disagreement..
0 replies 0 retweets 0 likesThanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.