Causal modelling of gene effects from regulators to programs to traits.

However, we were surprised to see that some non-erythroid traits, including serum levels of IGF-1 and CRP, as well as body mass index, did show highly significant correlations of regulatory effects with γ (Extended Data Fig. 3c) .

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Of note, among the perturbed genes, of the top ten genes ranked by LoF effects on MCH, seven had nominally significant Perturb-seq effects on HBA1 , and for all seven, the sign of the Perturb-seq β matched what we predicted from γ .

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