Analysis of Rare Variants in Genes Related to Lipid Metabolism in Patients with Familial Hypercholesterolemia in Western Siberia (Russia).
Elena V ShakhtshneiderDinara E IvanoshchukOlga TimoshchenkoPavel OrlovSergey SemaevEmil ValeevAndrew GoonkoNataliya LadyginaMikhail I VoevodaPublished in: Journal of personalized medicine (2021)
The aim of this work was to identify genetic variants potentially involved in familial hypercholesterolemia in 43 genes associated with lipid metabolism disorders. Targeted high-throughput sequencing of lipid metabolism genes was performed (80 subjects with a familial-hypercholesterolemia phenotype). For patients without functionally significant substitutions in the above genes, multiplex ligation-dependent probe amplification was conducted to determine bigger mutations (deletions and/or duplications) in the LDLR promoter and exons. A clinically significant variant in some gene associated with familial hypercholesterolemia was identified in 47.5% of the subjects. Clinically significant variants in the LDLR gene were identified in 19 probands (73.1% of all variants identified in probands); in three probands (11.5%), pathogenic variants were found in the APOB gene; and in four probands (15.4%), rare, clinically significant variants were identified in genes LPL, SREBF1, APOC3, and ABCG5. In 12 (85.7%) of 14 children of the probands, clinically significant variants were detectable in genes associated with familial hypercholesterolemia. The use of clinical criteria, targeted sequencing, and multiplex ligation-dependent probe amplification makes it possible to identify carriers of rare clinically significant variants in a wide range of lipid metabolism genes and to investigate their influence on phenotypic manifestations of familial hypercholesterolemia.
Keyphrases
- copy number
- genome wide
- genome wide identification
- dna methylation
- genome wide analysis
- end stage renal disease
- bioinformatics analysis
- transcription factor
- fatty acid
- chronic kidney disease
- ejection fraction
- newly diagnosed
- quantum dots
- single cell
- young adults
- peritoneal dialysis
- prognostic factors
- single molecule
- living cells
- high throughput sequencing
- patient reported outcomes