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  • Phenome-based approach iden...
    Unlu, Gokhan; Qi, Xinzi; Gamazon, Eric R; Melville, David B; Patel, Nisha; Rushing, Amy R; Hashem, Mais; Al-Faifi, Abdullah; Chen, Rui; Li, Bingshan; Cox, Nancy J; Alkuraya, Fowzan S; Knapik, Ela W

    Nature medicine, 01/2020, Letnik: 26, Številka: 1
    Journal Article

    Discovery of genotype-phenotype relationships remains a major challenge in clinical medicine. Here, we combined three sources of phenotypic data to uncover a new mechanism for rare and common diseases resulting from collagen secretion deficits. Using a zebrafish genetic screen, we identified the ric1 gene as being essential for skeletal biology. Using a gene-based phenome-wide association study (PheWAS) in the EHR-linked BioVU biobank, we show that reduced genetically determined expression of RIC1 is associated with musculoskeletal and dental conditions. Whole-exome sequencing identified individuals homozygous-by-descent for a rare variant in RIC1 and, through a guided clinical re-evaluation, it was discovered that they share signs with the BioVU-associated phenome. We named this new Mendelian syndrome CATIFA (cleft lip, cataract, tooth abnormality, intellectual disability, facial dysmorphism, attention-deficit hyperactivity disorder) and revealed further disease mechanisms. This gene-based, PheWAS-guided approach can accelerate the discovery of clinically relevant disease phenome and associated biological mechanisms.