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. 2015 Mar 24;10(3):e0116477. doi: 10.1371/journal.pone.0116477

Fig 1. An overview of the study design.

Fig 1

One hundred and forty-seven candidate genes were obtained from 50 CRC risk loci. A bioinformatics pipeline was developed for the prioritization of these candidate genes. Seven criteria were used to score the genes: (1) CRC risk missense variant; (2) cis-eQTL; (3) PubMed text mining; (4) PPI; (5) cancer somatic mutation; (6) knockout mouse phenotype; and (7) functional enrichment. Extent of overlap with target genes for approved CRC drugs was also assessed.