Prevalent ALMS1 Pathogenic Variants in Spanish Alström Patients.
Brais Bea-MascatoCarlos SolaratIrene Perea-RomeroTeresa JaijoFiona Blanco-KellyJosé María MillánCarmen AyusoDiana ValverdePublished in: Genes (2021)
Alström syndrome (ALMS) is an ultrarare disease with an estimated prevalence lower than 1 in 1,000,000. It is associated with disease-causing mutations in the Alström syndrome 1 (ALMS1) gene, which codifies for a structural protein of the basal body and centrosomes. The symptomatology involves nystagmus, type 2 diabetes mellitus (T2D), obesity, dilated cardiomyopathy (DCM), neurodegenerative disorders and multiorgan fibrosis. We refined the clinical and genetic diagnosis data of 12 patients from 11 families, all of them from Spain. We also studied the allelic frequency of the different variants present in this cohort and performed a haplotype analysis for the most prevalent allele. The genetic analysis revealed 2 novel homozygous variants located in the exon 8, p.(Glu929Ter) and p.(His1808GlufsTer20) in 2 unrelated patients. These 2 novel variants were classified as pathogenic after an in silico experiment (computer analysis). On the other hand, 2 alleles were detected at a high frequency in our cohort: p.(Tyr1714Ter) (25%) and p.(Ser3872TyrfsTer19) (16.7%). The segregation analysis showed that the pathogenic variant p.(Tyr1714Ter) in 3 families is linked to a rare missense polymorphism, p.(Asn1787Asp). In conclusion, 2 novel pathological mutations have been discovered in homozygosis, as well as a probable founder effect in 3 unrelated families.
Keyphrases
- end stage renal disease
- high frequency
- newly diagnosed
- copy number
- chronic kidney disease
- ejection fraction
- peritoneal dialysis
- prognostic factors
- metabolic syndrome
- type diabetes
- gene expression
- autism spectrum disorder
- cardiovascular disease
- deep learning
- weight loss
- small molecule
- single cell
- machine learning
- insulin resistance
- electronic health record
- big data
- transcription factor