Search

Epilepsies are common neurological disorders and genetic factors contribute to their pathogenesis. Copy number variations (CNVs) are increasingly recognized as an important etiology of many human diseases including epilepsy. Whole-exome sequencing (WES) is becoming a standard tool for detecting pathogenic mutations and has recently been applied to detecting CNVs. Here, we analyzed 294 families with epilepsy using WES, and focused on 168 families with no causative single nucleotide variants in known epilepsy-associated genes to further validate CNVs using 2 different CNV detection tools using WES data. We confirmed 18 pathogenic CNVs, and 2 deletions and 2 duplications at chr15q11.2 of clinically unknown significance. Of note, we were able to identify small CNVs less than 10 kb in size, which might be difficult to detect by conventional microarray. We revealed 2 cases with pathogenic CNVs that one of the 2 CNV detection tools failed to find, suggesting that using different CNV tools is recommended to increase diagnostic yield. Considering a relatively high discovery rate of CNVs (18 out of 168 families, 10.7%) and successful detection of CNV with <10 kb in size, CNV detection by WES may be able to surrogate, or at least complement, conventional microarray analysis., (© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

One of the goals of evaluating a patient in the genetics clinic is to find the diagnosis that would explain his or her clinical presentation. Sometimes the patient's diagnosis remains undefined or does not explain all of the clinical findings. As clinicians are often guided by a "single disorder" paradigm, diagnosing multiple genetic conditions in the same patient requires a heightened sense of awareness. Over the last few years, we evaluated several patients (n = 14) who were found to have more than one genetic diagnosis. In this paper, we will describe their natural history and diagnoses, and draw on the lessons learned from this phenomenon, which we expect to grow in this era of next-generation diagnostic technologies. To our knowledge, this is by far the largest series of patients with double diagnoses. Based on our findings, we strongly recommend that physicians question every diagnosis to determine whether it indeed explains all of the patients' symptoms, and consider whether they should continue the diagnostic evaluation to look for a more accurate and complete set of diagnoses. © 2016 Wiley Periodicals, Inc., (© 2016 Wiley Periodicals, Inc.)