The kind of analysis that @ent3c , @kph3k, @graham_coop and colleagues are unhappy about. Maybe @tincatwin & @FSNole57 can organize a formal back & forth. A head-on debate over a real case would move things forward.https://www.cambridge.org/core/journals/bjpsych-open/article/exploring-the-genetic-correlations-of-antisocial-behaviour-and-life-history-traits/8A2F2C3857649D8BD2FF558E630309D6 …
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Unhappy not, perhaps, for the reasons you think. For me it is the Phenotypic Null Hypothesis. These genetic correlations are just a reflection of the phenotypic ones. They don't show the phenotypic pattern has a genetic basis. Note fuzzy "calibrated by" in abstract.
Phenotypic correlations basically are genetic correlations.https://www.biorxiv.org/content/early/2018/03/30/291062 …
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Remember if phenotypic correlations = genetic rs, they also = environmental correlations, because P=G+E. The proper conclusion is that phenotype is driving the bus.
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Recall, however, is that this is the exact thing we tested in the age of first sex & delinquency paper, the A correlations != the E correlations, indicating that the phenotypes are not driving the bus.
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Yes that's right. One way to see our quasi-causal framework is that it is testing for whether structure of P = A = E. When it is not, it constitutes *evidence* as opposed to presumption that genetic processes are different.
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PS don't forget P=G+E +R where R = random dev noise per
@WiringTheBrain
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This is not a legit test. SNP based heritability is a function of number of SNPs P and sample number N for genetic relateness matrice methods. LD scores and GRM derivated SNP based heritability are equivalent. PCs do not control for stratification.https://www.biorxiv.org/content/early/2017/10/31/211821 …
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