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Phenome-based approach identifies RIC1 -linked Mendelian syndrome through zebrafish models, biobank associations and clinical studies
Nature Medicine ( IF 30.641 ) Pub Date : 2020-01-13 , DOI: 10.1038/s41591-019-0705-y
Gokhan Unlu; Xinzi Qi; Eric R. Gamazon; David B. Melville; Nisha Patel; Amy R. Rushing; Mais Hashem; Abdullah Al-Faifi; Rui Chen; Bingshan Li; Nancy J. Cox; Fowzan S. Alkuraya; Ela W. Knapik

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.
更新日期:2020-01-14

 

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