DISEASES

Disease-gene associations mined from literature

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Literature associating ENSP00000450710 and prolapse of female genital organ

ENSP00000450710 [ENSP00000450710]

Linkouts:  STRING  Pharos

The disease-gene associations are derived from automatic text mining of the biomedical literature, manually curated database annotations, cancer mutation data, and genome-wide association studies. The confidence of each association is signified by stars, where ★★★★★ is the highest confidence and ★☆☆☆☆ is the lowest.

Developed by Sune Frankild, Alexander Junge, Albert Pallejà, Dhouha Grissa, Kalliopi Tsafou, and Lars Juhl Jensen from the Novo Nordisk Foundation Center for Protein Research.