First case of pan-suture craniosynostosis due to de novo mosaic KAT6A mutation.

A nonverbal 3-year-old male with a complex past medical history was referred to pediatric neurosurgery for evaluation of Chiari I malformation. A full clinical evaluation suggested that the "Chiari" was a secondary change caused by craniocerebral disproportion that was the result of delayed pan-sutural craniosynostosis. Given his unknown cause of craniosynostosis, whole-exome sequencing (WES) was performed. WES revealed a de novo, somatic mosaic variant in the KAT6A gene. This report discusses importance of keeping a broad differential in the setting of referral for Chiari I malformation and presents a unique case of craniosynostosis. Additionally, it emphasizes the value of utilizing genetic testing for complex craniofacial cases with unknown causes to provide clinical answers and guide clinical management.

Genomic, transcriptomic, and protein landscape profile of CFTR and cystic fibrosis.

Cystic Fibrosis (CF) is caused most often by removal of amino acid 508 (Phe508del, deltaF508) within CFTR, yet dozens of additional CFTR variants are known to give rise to CF and many variants in the genome are known to contribute to CF pathology. To address CFTR coding variants, we developed a sequence-to-structure-to-dynamic matrix for all amino acids of CFTR using 233 vertebrate species, CFTR structure within a lipid membrane, and 20 ns of molecular dynamic simulation to assess known variants from the CFTR1, CFTR2, ClinVar, TOPmed, gnomAD, and COSMIC databases. Surprisingly, we identify 18 variants of uncertain significance within CFTR from diverse populations that are heritable and a likely cause of CF that have been understudied due to nonexistence in Caucasian populations. In addition, 15 sites within the genome are known to modulate CF pathology, where we have identified one genome region (chr11:34754985-34836401) that contributes to CF through modulation of expression of a noncoding RNA in epithelial cells. These 15 sites are just the beginning of understanding comodifiers of CF, where utilization of eQTLs suggests many additional genomics of CFTR expressing cells that can be influenced by genomic background of CFTR variants. This work highlights that many additional insights of CF genetics are needed, particularly as pharmaceutical interventions increase in the coming years.