The Benefits of Long-read High-throughput Genomic Sequencing for the Causal Diagnosis of Cerebellar Ataxias

Cerebellar ataxias are a group of rare neurological disorders that are clinically and genetically heterogeneous, with several hundred genes and diseases known to date. Over the last decade, their diagnosis has been revolutionised by the development of high-throughput sequencing technologies such as exome/genome sequencing (ES/GS), making it possible to obtain a molecular diagnosis in a growing number of patients. However, almost 40% of patients remain without a molecular diagnosis, raising questions about the limitations of sequencing technologies based on a technique known as short-read. One limitation of short-read is its poor ability to detect repeated motif expansions, a frequent mechanism in neurology and associated with more than thirty neurogenetic diseases. Although tools for analysing ES/GS data have gradually been developed in response to this problem, their effectiveness and reliability remain moderate. To date, the gold standard for detecting these expansions remains targeted approaches such as PCR and Southern blot, which are long, tedious and costly processes that require an independent search for each expansion, forcing clinicians to select expansions and limiting diagnostic yield. In addition, there are diseases associated with expansions so rare that no French laboratory offers a diagnostic test. The recent development of long fragment genome sequencing (long-read - lrGS) could provide a solution to all these problems. These technologies are based on a sequencing process during which DNA is preserved in the form of large molecules of several tens of thousands of bases. Regions of the genome containing expansions can therefore be studied directly in their entirety, avoiding the difficulties of reconstruction from small fragments, which is the case in short-read sequencing. In addition, lrGS can characterize the size of repeated motifs and thus detect any causal expansion in an individual in a single analysis. A number of recently published studies,