loading...
 

Click to cell type (#count): Excitatory neuron 1 (1917)  Excitatory neuron 2 (310)  Excitatory neuron 3e (372)  Excitatory neuron 4 (705)  Excitatory neuron 5b (640)  Excitatory neuron 6a (109)  Excitatory neuron 6b (576)  Excitatory neuron 8 (142)  Inhibitory neuron 1a (87)  Inhibitory neuron 1b (120)  Inhibitory neuron 1c (280)  Inhibitory neuron 3 (209)  Inhibitory neuron 4a (124)  Inhibitory neuron 4b (239)  Inhibitory neuron 6a (101)  Inhibitory neuron 6b (556)  Inhibitory neuron 7 (33)  Inhibitory neuron 8 (588)  Endothelial cell (51)  Pericytes (45)  Astrocyte (737)  Oligodendrocyte (1758)  Oligodendrocyte precursor cell (433)  Microglia (187)  

Tissue and cell type-associated traits map for all cell types in [Lake_2017_FrontalCortex] . Due to the large number of UKBB panel traits, this figure shows the non-UKBB traits with a CSEA p (chi2) < 1e-05 as default, and users can change it to 1e-04, 1e-06. For each cell type and trait association pair (shown as an edge in the figure), there may be multiple trait-associated-gene (TAG) sets, each defined at a different threshold. The pair with the minimum p-value is shown in the figure, with the p-value showing along each edge. The number of edges in the figure is thus less than (or equal to) the number of entries in the table below. Users could further select to only show the association for those ‘tissue-specfic cell types’ defined from ontology analysis.


Table. List of Tissue-cell type associated traits pairs for [Lake_2017_FrontalCortex]. If the network above is too complicated, the users could obtain the association information from the table at bottom. Because each trait might have multiple TAG sets defined at different thresholds, multiple rows for each cell type and trait pair with different "TAG Set Threshold" and " CSEA p (chi2)" (the last two columns). Users could identify the most significant association by sorting “CSAE p (chi2)” column.

loading...

* If the number of cases is 0/NA, it means the phenotype is a continuous data type and the number of controls is the total number of samples.