Development of the human nervous system involves complex interactions between fundamental cellular processes and requires a multitude of genes, many of which remain to be associated with human disease. We applied whole exome sequencing to 128 mostly consanguineous families with neurogenetic disorders that often included brain malformations. Rare variant analyses for both single nucleotide variant (SNV) and copy number variant (CNV) alleles allowed for identification of 45 novel variants in 43 known disease genes, 41 candidate genes, and CNVs in 10 families, with an overall potential molecular cause identified in >85% of families studied. Among the candidate genes identified, we found PRUNE, VARS, and DHX37 in multiple families, and homozygous loss of function variants in AGBL2, SLC18A2, SMARCA1, UBQLN1, and CPLX1. Neuroimaging and in silico analysis of functional and expression proximity between candidate and known disease genes allowed for further understanding of genetic networks underlying specific types of brain malformations.

White coat hypertension (WCH) is a high cardiovascular risk condition, and a fundamental understanding of the cause and pathophysiology of the disorder is still lacking. Recent studies demonstrated that microRNAs (miRNAs) are involved in hypertension; however, the roles of miRNAs in WCH are not known.The expressions of selected 10 miRNAs were investigated independently in plasma samples from 30 hypertension (HT) patients, 30 WCH patients, and 30 normotensive (NT) subjects.MiR-21, miR-122, miR-637, and let-7e expression levels were significantly upregulated in the HT group compared with the NT groups (P = 0.017, P = 0.022, P = 0.048, and P = 0.013, respectively). MiR-122 and miR-637 expressions were also significantly upregulated in the WCH group compared with the NT group (P = 0.048 and P = 0.039, respectively). MiR-296-5p expression level was significantly downregulated in HT patients and upregulated in the WCH patients compared with the NT group (P = 0.049 and P = 0.039, respectively).Additionally, the ambulatory 24-hour and daytime systolic and diastolic blood pressures were negatively correlated with miR-296-5p. MiR-296 and miR-637 had area under the curve (AUC) values of 0.778 and 0.774, respectively, which demonstrates their sufficiency to distinguish WCH from NT individuals. MiR-296 and miR-637 had AUC values of 0.868 and 0.680, respectively, which shows their potential to distinguish WCH from HT individuals.We report for the first time a plasma miRNA profile for WCH patients and demonstrate a novel link between miRNA and WCH. These findings may reveal crucial insights into the development of WCH.