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I am trying to compute genetic correlation on two GWASes, one of which is from http://www.nealelab.is/uk-biobank. Both of these GWAS control for the first 20 PCs of the genetic data to control population structure.
When running LDSC, I get:
Heritability of phenotype 1
---------------------------
Total Observed scale h2: 0.0027 (0.0014)
Lambda GC: 1.0135
Mean Chi^2: 1.0174
Intercept: 0.998 (0.006)
Ratio < 0 (usually indicates GC correction).
Heritability of phenotype 2/2
-----------------------------
Total Observed scale h2: 0.013 (0.0015)
Lambda GC: 1.0772
Mean Chi^2: 1.0832
Intercept: 0.9903 (0.0071)
Ratio < 0 (usually indicates GC correction).
I'm concerned about the "Ratio < 0" aspect. Neither study included genetic control as I understand it from wikipedia, but could the ratio < 0 be caused by controlling for the 20 PCs?
And do I need to be concerned that Ratio < 0?
The text was updated successfully, but these errors were encountered:
@tgbrooks The reason ldsc reports "Ratio < 0" is that the estimated intercept is < 1. The point estimates and standard errors suggest no residual population structure remains.
I would be more concerned that the estimated heritability is essentially 0. This can make estimates of genetic correlation unreliable.
I am trying to compute genetic correlation on two GWASes, one of which is from http://www.nealelab.is/uk-biobank. Both of these GWAS control for the first 20 PCs of the genetic data to control population structure.
When running LDSC, I get:
I'm concerned about the "Ratio < 0" aspect. Neither study included genetic control as I understand it from wikipedia, but could the ratio < 0 be caused by controlling for the 20 PCs?
And do I need to be concerned that Ratio < 0?
The text was updated successfully, but these errors were encountered: