Molecular and computational characterization of ABCB11 and ABCG5 variants in Tunisian patients with neonatal/infantile low-GGT intrahepatic cholestasis: Genetic diagnosis and genotype-phenotype correlation assessment.
Boudour KhabouFakhri KallabiRim Ben AbdelazizInes MaaloulHajer AloulouAmel Ben ChehidaThouraya KammounVeronique BarbuTahya Sellami BoudawaraFaiza FakhfakhBassem KhemakhemOlfa Siala SahnounPublished in: Annals of human genetics (2023)
Many inherited conditions cause hepatocellular cholestasis in infancy, including progressive familial intrahepatic cholestasis (PFIC), a heterogeneous group of diseases with highly overlapping symptoms. In our study, six unrelated Tunisian infants with PFIC suspicion were the subject of a panel-target sequencing followed by an exhaustive bioinformatic and modeling investigations. Results revealed five disease-causative variants including known ones: (the p.Asp482Gly and p.Tyr354 * in the ABCB11 gene and the p.Arg446 * in the ABCC2 gene), a novel p.Ala98Cys variant in the ATP-binding cassette subfamily G member 5 (ABCG5) gene and a first homozygous description of the p.Gln312His in the ABCB11 gene. The p.Gln312His disrupts the interaction pattern of the bile salt export pump as well as the flexibility of the second intracellular loop domain harboring this residue. As for the p.Ala98Cys, it modulates both the interactions within the first nucleotide-binding domain of the bile transporter and its accessibility. Two additional potentially modifier variants in cholestasis-associated genes were retained based on their pathogenicity (p.Gly758Val in the ABCC2 gene) and functionality (p.Asp19His in the ABCG8 gene). Molecular findings allowed a PFIC2 diagnosis in five patients and an unexpected diagnosis of sisterolemia in one case. The absence of genotype/phenotype correlation suggests the implication of environmental and epigenetic factors as well as modifier variants involved directly or indirectly in the bile composition, which could explain the cholestasis phenotypic variability.
Keyphrases
- copy number
- genome wide
- genome wide identification
- dna methylation
- drug induced
- gene expression
- multiple sclerosis
- transcription factor
- ejection fraction
- newly diagnosed
- genome wide analysis
- early onset
- body mass index
- weight loss
- depressive symptoms
- cancer stem cells
- cord blood
- weight gain
- prognostic factors
- human health
- climate change
- dna binding
- bioinformatics analysis