Non-UKBB panel traits associated with: [FetalAdrenalGland]

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Click to cell type (#count): Fetal enterocyte (1563)  Fasciculata cell (4420)  Primordial germ cell (113)  Hepatocyte/Endodermal cell (1001)  Fetal neuron (1312)  Endothelial cell (1871)  Smooth muscle cell (356)  Fetal mesenchymal progenitor (688)  Fetal fibroblast (898)  T cell (86)  Neutrophil (RPS high) (33)  Erythroid progenitor cell (RP high) (195)  Fetal stromal cell (141)  Fetal epithelial progenitor (249)  Erythroid cell (213)  Dendritic cell (334)  Macrophage (400)  Monocyte (72)  Antigen presenting cell (RPS high) (81)  Fetal endocrine cell (37)  Neutrophil (144)  CB CD34+ (48)  

Tissue and cell type-associated traits map for all cell types in [FetalAdrenalGland] . 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 [FetalAdrenalGland]. 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.

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* 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.