Note: hilariously bad polygenic score validity. r ≈ .03. Using bad GWAS method with n=110k yields about nothing useful.
Molecular Genetic Contributions to Social Deprivation and Household Income in UK Biobank. GREML h2 for S ≈ 22%. http://www.cell.com/current-biology/fulltext/S0960-9822(16)31119-8 …
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The GCTA is still there, though.
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Not even GREML-LDMS. :(
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22% is fairly normal for a GCTA estimate. Ton of smaller ones in my WP article. Could be a lot worse.
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Yes, but I want them to be better methods. Why not LDAK? Why not GREML-LDMS? But it's a nice replication for the other findings.
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Probably because the work was done a year ago and LDAK/LDMS are not widely or easily used and not considered required.
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Yes, plausible. Reminds me that you should publish that meta-analysis of GREML results, at least for the most important traits.
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publish = write a paper :P
End of conversation
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