Spinal muscular atrophy (SMA) is a severe neuromuscular autosomal recessive disorder affecting 1/10,000 live births. Most SMA patients present homozygous deletion of SMN1, while the vast majority of SMA carriers present only a single SMN1 copy. The sequence similarity between SMN1 and SMN2, and the complexity of the SMN locus makes the estimation of the SMN1 copy‐number by next‐generation sequencing (NGS) very difficult. Here, we present SMAca, the first python tool to detect SMA carriers and estimate the absolute SMN1 copy‐number using NGS data. Moreover, SMAca takes advantage of the knowledge of certain variants specific to SMN1 duplication to also identify silent carriers. This tool has been validated with a cohort of 326 samples from the Navarra 1000 Genomes Project (NAGEN1000). SMAca was developed with a focus on execution speed and easy installation. This combination makes it especially suitable to be integrated into production NGS pipelines. Source code and documentation are available at https://www.github.com/babelomics/SMAca.
Pharmacogenetics is an increasingly useful field where the genetic studies are becoming an important tool for predicting drug toxicity and/or efficacy. Thymidylate synthase (TS) and dihydropyrimidine dehydrogenase (DPD) gene polymorphisms could be highly informative tools in the clinical handling of colorectal cancer patients, who are following fluoropyrimidine based chemotherapy. Fifty-eight patients, with non-resectable metastatic colorectal cancer, were treated with capecitabine and raltitrexed, every three weeks. Patients were divided in a good-response group (complete and partial response) and a poor-response group (stable and progression). A genotype panel TS-DPD was evaluated. Results show that TS genotype analysis clearly differentiates patients with a worst response to a 5-fluorouracil based chemotherapy. DPD genotype was shown to be highly informative for prediction of toxicity of the treatment. These polymorphisms could represent an accurate, rapid and effective determination panel, indicative of resistance and toxicity for patients undergoing fluoropyrimidine based treatment.
1 February 1993 in Biochimica et Biophysica Acta (BBA) - Biomembranes