Exploring genetic variants in congenital monosaccharide‐disaccharide metabolism: Carrier ratios and phenotypic insights
Year: 2024
Type: article
Study design: Observational Study
Abstract: OBJECTIVES: Adverse food reactions, often underestimated, encompass congenital monosaccharide-disaccharide metabolism disorders, yielding diverse outcomes such as abdominal pain, diarrhea, bleeding disorders, and even death. This study retrospectively scrutinized genetic variants linked to these disorders in a cohort subjected to whole-exome sequence analysis (WES), determining carrier frequencies and genotype-phenotype correlations. METHODS: Data from 484 patients, were retrospectively analyzed using a gene panel (ALDOB, FBP1, GALE, GALK1, GALM, GALT, LCT, SLC2A2, SLC5A1, SI) for congenital monosaccharide-disaccharide metabolism disorders. WES was performed on patients using the xGen Exome Research Panel v2 kit, utilizing Next Generation Sequence Analysis (NGS). The study encompassed pathogenic, likely pathogenic, and variant of uncertain significance (VUS) variants. RESULTS: Among 484 patients (244 female, 240 male), 17.35% carried 99 variants (67 distinct) in the analyzed genes. Pathogenic/likely pathogenic allele frequency stood at 0.013, while VUS allele frequency was 0.088. Notably, 44% (37/84) of patients harboring mutations manifested at least one relevant phenotype. Carriage frequencies ranged from 1:25 (SI gene) to 1:968 (GALE gene), with the estimated disease frequency spanning from 1:2500 to 1:3748000. CONCLUSIONS: Our study underscores clinical manifestations in heterozygous carriers of recessive genetic disorders, addressing gaps in carrier frequencies and phenotypic effects for congenital monosaccharide-disaccharide metabolism disorders. This knowledge can improve these conditions' diagnosis and management, potentially preventing adverse food reactions and their associated complications.
DOI: 10.1002/jpn3.12223
Authors: Mehmet Berkay Akcan, Fatma Silan
Institution: Çanakkale Onsekiz Mart Üniversitesi
Language: English
Subfield: Clinical Biochemistry
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4396228985