Entering edit mode
5.1 years ago
xinhui.wang
▴
550
Dear all,
I am running an analysis on one phenotype and many SNPs with random forest. However, I find that phenotype correlated with age. I would like to correct phenotype with ages, then run the random forest on SNPs. At this moment, I run the linear model on phenotype with age, and used the residual as the adjusted phenotype. I am wondering there anyone know some methods could be used to correct/adjust the phenotype according with ages?
Thanks and with best regards,
Xinhui
Sidebar: Why is
Rthe only tag here? Why not add a few subject matter related tags?i have no idea which tag shall be added? Do you some idea?
are a couple I can glean just from the post text. Nothing in the post suggests you're using R though.
thanks. I changed the description!
The post still has just one tag and the text does not mention any R package or function call, so I don't see any effective change.
How did you determine this?
correlation coefficient as 0.70 ...
Correlation p value?
Also, is it statistically significant when you model it against your outcome in a
lm()orglm()?yes, p value < 0.00000001
I get worried when I see p-values like that from regression. What is the standard error and Estimate? Also, the confidence intervals for the odds ratio? - A: Polygenic Risk Scores: Odds ratio or Beta-coefficient?
In any case, I don't believe there is any right or wrong answer. Also, I cannot see your data and can only ask you questions here. You may want to read this: Are your covariates under control? How normalization can re-introduce covariate effects