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author | Peter Carbonetto | 2017-05-22 22:19:10 -0500 |
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committer | Peter Carbonetto | 2017-05-22 22:19:10 -0500 |
commit | 5d60be2af16a578a73ce596b35b09c88f8609f34 (patch) | |
tree | cb4b490fc1c83d3cd3dd6b413d716a33aa5197a4 | |
parent | 7616c7a019dc5996ab5d94c0822121a0e2060f99 (diff) | |
download | pangemma-5d60be2af16a578a73ce596b35b09c88f8609f34.tar.gz |
Added note about image to README.
-rw-r--r-- | README.md | 8 |
1 files changed, 6 insertions, 2 deletions
@@ -1,4 +1,4 @@ -![Genetic associations discovered in CFW mice using GEMMA (Parker et al, +![Genetic associations identified in CFW mice using GEMMA (Parker et al, Nat. Genet., 2016)](cfw.gif) # GEMMA: Genome-wide Efficient Mixed Model Association @@ -20,7 +20,7 @@ multivariate linear mixed model (lvLMM). In GWAS, this can correct for populations tructure and sample nonexchangeability jointly in multiple complex phenotypes. -3 Bayesian sparse linear mixed model (BSLMM) for estimating PVE, +3. Bayesian sparse linear mixed model (BSLMM) for estimating PVE, phenotype prediction, and multi-marker modeling in GWAS. 4. Estimation of variance components ("chip heritability") partitioned @@ -33,6 +33,10 @@ MQS algorithm to estimate variance components. *Add note here about posting questions, comments or bug reports to Issues.* +*Note: The image above summarizes physiological and behavioral trait +loci discovered in CFW mice, from [Parker et al, Nat. Genet., +2006](https://doi.org/10.1038/ng.3609).* + ### Citing GEMMA *Add text here.* |