Water. Three years ago, on Rare Disease Day 2023, I published a blog post comparing phenotypes to water, existing in three phases: solid, liquid, and vapor. At the time, I was trying to make a simple point. Rare diseases are not defined by their first description, nor only by a checklist of features. They are moving targets. Here is what has changed since then.
Category Archives: STXBP1
Signals in the noise – qEEG patterns in genetic epilepsies
qEEG. The electroencephalogram is one of the oldest tools in neurology. We use it every day to diagnose and monitor brain function, yet, even in the era of genomic medicine, most of our EEG interpretation still relies on visual inspection, a human reading of squiggled traces. In a recent publication in Neurology, we asked whether the information embedded in these signals could be measured more objectively in children with STXBP1, SCN1A, and SYNGAP1-related disorders. Here is the story on how we identified hidden signals in the EEG tracings of individuals with genetic epilepsies.
The rare disease with fastest growing knowledge – the 2025 STXBP1 Summit+
Westminster. The Westin in Westminster, Colorado has an inbuilt alarm clock. As the hotel is a relatively isolated tall building, you get the most intense sunrise over the big Colorado sky that gently wakes you up as it intensifies – a consolation prize if your hotel room doesn’t have the majestic mountain view, as was my case this year. The Westin the venue for this year’s STXBP1 Summit+ Family Meeting. Here are three takeaways from the summit, from my perspective as a clinician researcher.
The 70-mile synapse – riding for Lulu’s Crew
MDBR 2025. Imagine a sugar cube-sized piece of our brain. Within this small segment of neuronal tissue, the total length of nerve fibers amounts to approximately 70 miles. This is exactly the distance I rode for the 2025 Million Dollar Bike Ride last Saturday as a member of Lulu’s Crew. Here is my blog post on a different kind of fundraising for rare disease research, the type of advocacy that has raised more than a million dollars for STXBP1 in the last seven years while making your legs feel like Jello.
STXBP1 – here is what you need to know in 2023
STXBP1. Today is the first day of the 1st European STXBP1 Summit and Research Roundtable, held from May 16-18th in Milan, Italy. This meeting is bringing together voices from academia, industry, organizations, and family foundations to discuss the current state of research – spanning from preclinical efforts investigating mechanisms of disease to moving towards the clinic and the future therapeutic landscape. In 2023, it feels like an understatement to say that STXBP1 is on the map. In spirit of the ongoing momentum in the field, we wanted to refresh the gene page and outline three emerging frameworks to think about STXBP1.
Phenotypes are like water – Rare Disease Day 2023
Phases. Today is Rare Disease Day. I would like to use this opportunity to explain some of the phenotype science that is critical for rare diseases. In contrast to common disorders, rare diseases face an unusual challenge. Once identified, the overall rareness of these condition poses the question of where phenotypes begin and where they end. For rare genetic disorders, is the phenotype of the first individual identified with a rare disease characteristic, or is there a larger spectrum that we should be aware of? Enter the various approaches to phenotype science that aim to decipher the full depth of clinical features associated with rare diseases. In order to understand the various approaches to rare diseases phenotypes, I would like to suggest a somewhat unusual analogy: phenotypes are like water.
Unlocking STXBP1 through Electronic Medical Records
Understanding the EMR. Several weeks ago, I gave a presentation at the STXBP1 Summit conference, the third annual meeting since the first in 2019 – a time when I had just entered the field of neurogenetics. It has been fascinating to follow one of the neurodevelopmental genes with the “fastest growing knowledge,” with the expanded scope of clinical studies and emergence of novel avenues for targeted gene therapies on the horizon. However, one of the many projects our STXBP1 team is currently working on takes a somewhat atypical approach – we aimed to map the natural disease history of STXBP1-related disorders based entirely on reconstructed Electronic Medical Records (EMR). Here are some of the challenges we have had to confront and what we learned searching for meaning in the depth of the EMR. Continue reading
STXBP1-related disorders: deciphering the phenotypic code
STX. Neurodevelopmental disorders due to disease-causing variants in STXBP1 are amongst the most common genetic epilepsies with an estimated incidence of 1:30,000. However, despite representing a well-known cause of developmental and epileptic encephalopathies in the first year of life, relatively little has been known about the overall genetic landscape and no genotype-phenotype correlations have been established. In our recent publication including almost 20,000 phenotypic annotations in 534 individuals with STXBP1-related disorders, we dive deep into the clinical spectrum, examine longitudinal phenotypes, and make first attempts at assessing medication efficacy based on objective information deposited in the Electronic Medical Records (EMR), including information from the almost 100 “STXers” seen at our center in the last four years. Continue reading
Entering the phenotype era – HPO-based similarity, big data, and the genetic epilepsies
Semantic similarity. The phenotype era in the epilepsies has now officially started. While it is possible for us to generate and analyze genetic data in the epilepsies at scale, phenotyping typically remains a manual, non-scalable task. This contrast has resulted in a significant imbalance where it is often easier to obtain genomic data than clinical data. However, it is often not the lack of clinical data that causes this problem, but our ability to handle it. Clinical data is often unstructured, incomplete and multi-dimensional, resulting in difficulties when trying to meaningfully analyze this information. Today, our publication on analyzing more than 31,000 phenotypic terms in 846 patient-parent trios with developmental and epileptic encephalopathies (DEE) appeared online. We developed a range of new concepts and techniques to analyze phenotypic information at scale, identified previously unknown patterns, and were bold enough to challenge the prevailing paradigms on how statistical evidence for disease causation is generated. Continue reading
The natural history of genetic epilepsies as told by 3,200 years of electronic medical records
EMR. When we consider the natural history of rare diseases like the genetic epilepsies, we typically think about a lack of longitudinal data that contrasts with the abundant genetic information that is available nowadays – the so-called phenotyping gap. We typically suggest that we need to obtain this information in future prospective studies to better understand long-term outcome, response to medications, and potential early warning signs for an adverse disease course. However, a vast amount of clinical data is collected on an ongoing basis through electronic medical records (EMR) as a byproduct of regular patient care. In a recent study, our group built tools to mine the electronic medical records to assess the disease history of 658 individuals with known or presumed epilepsies using clinical information collected at more than 62,000 patients encounters across more than 3,200 patient years. Here is a brief summary of our first study on EMR genomics, an untapped resource that has the potential to improve our understanding of the genetic epilepsies. Continue reading