Unsolved cases. We are in an era of dramatic progress in understanding the genetic causes of neurologic disorders. In spite of this progress, many cases remain unsolved even after whole exome sequencing. One hypothesis for this missing heritability is that “non-coding” mutations outside the exome may explain at least some of these unsolved cases. A recent study looked at de novonon-coding variants in patients with neurodevelopmental disorders. The study sheds new light on this question and reminds us that, despite all the recent progress, there is much still to learn about vast portions of the genome. Continue reading
Going cloud. This post is about my most recent discovery when I was trying to modernize some of the bioinformatics tools that I had on my laptop. My experience with variant annotation is a good example of the latest trend in bioinformatics: replacing precise, but difficult-to-use tools by web-based convenience – I didn’t need to install anything after all. This is a brief journey into the world of variant annotation, taking advantage of my new favorite tool, wANNOVAR and applying it to the Epi4K dataset. Continue reading
Nav1.6. For some reason, SCN8A always met some resistance. In contrast to other epilepsy genes, it took a while for the community to embrace this gene as a genuine cause of epileptic encephalopathies. A recent publication in Neurology now investigates the phenotypic spectrum of SCN8A encephalopathy – and points out important features that distinguish this condition from Dravet Syndrome. Continue reading
Reverse. With the increasing amount of genetic information available in patients with various neurodevelopmental syndromes, some genes will be observed more than once in patients. In a recent study in the Journal of Medical Genetics, the authors trace back the phenotypes of individuals carrying de novo mutations in PURA. However, there seems to be a wide range of clinical features with a seemingly inverse genotype-phenotype correlation. Continue reading
Half Moon Bay. I am on my way back from the Precision Medicine Workshop at Half Moon Bay, realizing again that blog posts from scientific meetings are often boring and difficult to write. However, let me try to put together a few thoughts about this meeting. Basically, there are three challenges for epilepsy genetics in the era of precision medicine. Continue reading
The E2 story continues. There has been major progress in identifying the role of de novo mutations in infantile spasms and other epileptic encephalopathies. Over the last two years, more than 20 new genes for epileptic encephalopathies were discovered and we have good evidence suggesting that de novo mutations play a major role in these disorders. Moreover, we have gotten a good sense on how complicated it can be to call a de novo mutation pathogenic given the flood of rare genetic variants in the human genome. However, de novo mutations are not what we think about clinically when assessing a patient with new-onset epileptic encephalopathy. In a clinical setting, we are often concerned about underlying metabolic disorders, many of which are recessive. Accordingly, we felt that the next task of the E2 consortium was to assess the role of inherited variants in epileptic encephalopathies. Just to tell you in advance, it is not as easy as it sounds.
Three criteria. You hear the phrase precision medicine quite frequently these days and might wonder what this is all about. In a nutshell, in the context of genetic epilepsies, the basic idea behind precision medicine is to use genetic patient information for treatment decisions. The broader vision behind this aims at improving the lives of individuals with epilepsy by making smarter and faster treatment decisions, which lead to better treatment response and fewer side effects. But how should we assess information on reports of precision medicine in the literature? Here are the three important criteria to assess. Continue reading
Exome failures. Trio exome sequencing has the huge potential to discover the genetic basis of neurodevelopmental disorders. However, the results are negative for the majority of patients. In a recent study published in Nature, genome sequencing was applied to exome-negative patients with intellectual disability, identifying mutations in coding regions that were previously missed. But are the authors correct in stating that they can explain more than 60% of cases in an unselected cohort? Continue reading
PNH. PIGA codes for a protein involved in the early steps of GPI anchor synthesis, hydrophobic anchors that are attached to a range of proteins, which allows them to be attached to the membrane. This mechanism is important for protein sorting in the endoplasmatic reticulum and the Golgi apparatus. Acquired mutations in PIGA are known to cause paroxysmal nocturnal hemoglobinuria (PNH), an anemia due to destruction of red blood cells. In a recent paper in Neurology, de novo mutations in PIGA are now identified in a complex genetic syndrome, which has early-onset intractable epilepsy as the most prominent feature. Continue reading
FASTA, FASTQ, SAM, BAM, BWA, GC, GATK, IGV. Phew. Day 2 at the EuroEPINOMICS bioinformatics workshop in Leuven. Usually my work starts after the initial NGS raw data quality control and mapping procedures. Today’s topics are supposed to improve my understanding of sequencing analysis and NGS data interpretation. While we are still struggling, other scientists have done their home work already. Here are some of the remarkable publications from this week.