TECPR2-related hereditary sensory and autonomic neuropathy in two siblings from Palestine.
Reham Khalaf-NazzalImad DweikatNishanka UbeyratnaJames FashamMaysa AlawnehJoseph LeslieMosab MareeAdam GunningDeyala Z ZayedNikol VoutsinaLucy McGavinReem SawaftaMartina OwensWisam BakerPeter TurnpennyFida' Al-HijawiAndrew H CrosbyAndrew H CrosbyLettie E RawlinsPublished in: American journal of medical genetics. Part A (2024)
Due to the majority of currently available genome data deriving from individuals of European ancestry, the clinical interpretation of genomic variants in individuals from diverse ethnic backgrounds remains a major diagnostic challenge. Here, we investigated the genetic cause of a complex neurodevelopmental phenotype in two Palestinian siblings. Whole exome sequencing identified a homozygous missense TECPR2 variant (Chr14(GRCh38):g.102425085G>A; NM_014844.5:c.745G>A, p.(Gly249Arg)) absent in gnomAD, segregating appropriately with the inheritance pattern in the family. Variant assessment with in silico pathogenicity prediction and protein modeling tools alongside population database frequencies led to classification as a variant of uncertain significance. As pathogenic TECPR2 variants are associated with hereditary sensory and autonomic neuropathy with intellectual disability, we reviewed previously published candidate TECPR2 missense variants to clarify clinical outcomes and variant classification using current approved guidelines, classifying a number of published variants as of uncertain significance. This work highlights genomic healthcare inequalities and the challenges in interpreting rare genetic variants in populations underrepresented in genomic databases. It also improves understanding of the clinical and genetic spectrum of TECPR2-related neuropathy and contributes to addressing genomic data disparity and inequalities of the genomic architecture in Palestinian populations.
Keyphrases
- copy number
- intellectual disability
- mitochondrial dna
- genome wide
- autism spectrum disorder
- healthcare
- dna methylation
- machine learning
- deep learning
- big data
- heart rate variability
- electronic health record
- gene expression
- heart rate
- molecular docking
- mass spectrometry
- cystic fibrosis
- protein protein
- data analysis
- amino acid
- health insurance