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**Gray cells (with negative -log10 Simple Sum p-values)
correspond to gene-tissue pairs with no Simple Sum (SS)
P-value.
The exact reason for the absence of a SS P-value can be gleaned
in the table below
**

**Please note that we leave up to the user to determine the
threshold of significance among the datasets that passed the
first-stage significance test. For example, if a user selected 3
tissues and 4 genes for testing, and 3 other secondary datasets
(a total of 3 × 4 + 3 = 15 tests) and among these, 6
datasets were tested for colocalization, then one would
conservatively choose to consider a Bonferroni-corrected p-value
threshold of 0.05 / 6 = 8.3 × 10 ^{-3}. Thus,
Simple Sum colocalization tests above this threshold would be
considered as significant.**

**-1 values correspond to gene-tissue pairs with no eQTL data
(likely due to little or no expression)**

**-2 values correspond to gene-tissue pairs that did not pass the
Bonferroni-corrected first stage testing for signficance among
the secondary datasets chosen**

**-3 values correspond to gene-tissue pairs where the Simple Sum
P-value computation failed, likely due to insufficient
SNPs**

^{-3}. Thus,
Simple Sum colocalization tests above this threshold would be
considered as significant.

**-1 values correspond to gene-tissue pairs with no eQTL data
(likely due to little or no expression)**

^{-3}. Thus,
Simple Sum colocalization tests above this threshold would be
considered as significant.