[The identification of the genes for MEN I and MEN II will greatly simplify the diagnosis of the disease and perhaps also the therapy of affected patients.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
Gene-disease associations inferred from text-mining the literature.
DisGeNET evidence - LITERATURE