DISEASES

Disease-gene associations mined from literature

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Human genes for DOID:3125

DOID:3125 [DOID:3125]

The term multiple endocrine neoplasia (MEN) encompasses several distinct syndromes featuring tumors of endocrine glands, each with its own characteristic pattern. In some cases, the tumors are malignant, in others, benign. Benign or malignant tumors of nonendocrine tissues occur as components of some of these tumor syndromes.

The disease associations are derived via automatic text mining of the biomedical literature and have not been manually verified. The confidence of each association is signified by stars, where ★★★★☆ is the highest confidence and ★☆☆☆☆ is the lowest.

Each disease–gene association is based on a text-mining score, which is proportional to 1) the absolute number of comentionings and 2) the ratio of observed to expected comentionings (i.e. the enrichment). These scores are normalized to z-scores by comparing them to a random background. This is represented by stars, each star corresponding to two standard deviations above the mean of the background distribution.

Developed by Sune Frankild and Lars Juhl Jensen from the Novo Nordisk Foundation Center for Protein Research.