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Post by kzar0004 on Aug 17, 2016 7:34:05 GMT
Dear gcta,
I have a question regarding my REML output. In the output below the phenotype I used was results from a cognitive examination for n=162 subjects.
Source Variance SE V(G) 52.372958 26.878553 V(e) 34.147764 24.054993 Vp 86.520722 9.958276 V(G)/Vp 0.605323 0.285860 logL -439.013 logL0 -440.225 LRT 2.422 df 1 Pval 0.06 n 162
Is it correct to interpret from the above that 60% of the variance observed in the cognitive scores is explained by all the SNPs?
Furthermore I am slightly confused by how to understand the "Pval 0.06". In the GCTA homepage under section: GCTA-GREML: estimation of the phenotypic variance explained by the SNPs, point number '5' , the explanation of the P val is missing... How can the genetic variation explain 60% of the variation seen in the phenotype (cognitive exam) but this not yield a significant P val?
Also, in your homepage you write "If there are multiple GRMs included in the REML analysis, there will be multiple rows for the genetic variance ..."
Why would there be multiple GRMs?
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Post by kzar0004 on Aug 31, 2016 11:31:02 GMT
Dear GCTA,
Is it possible to get feedback on my problem above?
Best wishes,
KZAR0004
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Post by Jian Yang on Sept 8, 2016 5:20:55 GMT
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