medly
New Member
Posts: 1
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Post by medly on Jun 14, 2019 0:17:07 GMT
Dear all, I run the method for estimating the SNP-based heritability. And I have some questions, I hope you can help me in the interpretation.
Using my data (four candidate SNPs), I obtained that the proportion of phenotypic variance explained by all SNPs of my "input" file is 18.5%. Is it correct my interpretation? Also, I was not sure how to interprete the V(G), V(e) and V(p), May I say that: - V(G) is the proportion of variance of the data explained by the SNPs?. - V(e) variance explained by the covariables? - V(e) variance explained by the phenotype?
I really appreciate some guidance. Regards,
Code gcta64 --reml --grm-gz input --pheno pheno.txt --reml-pred-rand --qcovar qcovar.txt --out variance
variance.hsq Source Variance SE
V(G) 0.000925 0.000417 V(e) 0.004074 0.000420 Vp 0.005000 0.000190 V(G)/Vp 0.185045 0.082167 logL 3008.430 logL0 3006.097 LRT 4.666 df 1 Pval 0.01538 n 1407
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ax
New Member
Posts: 27
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Post by ax on Dec 6, 2019 1:42:48 GMT
Hi Medly,
V(G): genetic variance, V(e): residual variance, Vp: phenotypic variance, V(G)/Vp: ratio of genetic variance to phenotypic variance.
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