Abstract

Large-scale sequencing efforts have captured a rapidly growing catalogue of genetic variations. However, the accurate establishment of gene variant pathogenicity remains a central challenge in translating personal genomics information to clinical decisions. Interferon Regulatory Factor 6 (IRF6) gene variants are significant genetic contributors to orofacial clefts. Although approximately three hundred IRF6 gene variants have been documented, their effects on protein functions remain difficult to interpret. Here, we demonstrate the protein functions of human IRF6 missense gene variants could be rapidly assessed in detail by their abilities to rescue the irf6 -/- phenotype in zebrafish through variant mRNA microinjections at the one-cell stage. The results revealed many missense variants previously predicted by traditional statistical and computational tools to be loss-of-function and pathogenic retained partial or full protein function and rescued the zebrafish irf6 -/- periderm rupture phenotype. Through mRNA dosage titration and analysis of the Exome Aggregation Consortium (ExAC) database, IRF6 missense variants were grouped by their abilities to rescue at various dosages into three functional categories: wild type function, reduced function, and complete loss-of-function. This sensitive and specific biological assay was able to address the nuanced functional significances of IRF6 missense gene variants and overcome many limitations faced by current statistical and computational tools in assigning variant protein function and pathogenicity. Furthermore, it unlocked the possibility for characterizing yet undiscovered human IRF6 missense gene variants from orofacial cleft patients, and illustrated a generalizable functional genomics paradigm in personalized medicine.

Highlights

  • The rapid development of next-generation sequencing technologies has ushered in a new era of personalized medicine for a myriad of diseases [1]

  • Advances in sequencing technologies have led to rapid increases in personalized genetics information

  • The Exome Aggregation Consortium (ExAC) recently published a study utilizing the largest aggregation of human exomes to reveal that while each person has an average of 54 variants in their genome that are currently annotated as pathogenic, as many as 41 of them are observed to occur frequently in the human population and are unlikely to cause disease [10]

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Summary

Introduction

The rapid development of next-generation sequencing technologies has ushered in a new era of personalized medicine for a myriad of diseases [1]. The Exome Aggregation Consortium (ExAC) recently published a study utilizing the largest aggregation of human exomes to reveal that while each person has an average of 54 variants in their genome that are currently annotated as pathogenic, as many as 41 of them are observed to occur frequently in the human population and are unlikely to cause disease [10]. In addition to statistical (case-control association, familial segregation, population frequency, and etc.) and bioinformatic (evolutionary conservation, protein energetics, and etc.) methods, experimental approaches utilizing biological assays that directly test the protein functions of gene variants should be implemented to provide functional evidence that directly links gene variants to the pathogenesis of disease [11]

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