| Literature DB >> 31519763 |
Jacqueline S Dron1,2, Jian Wang1, Adam D McIntyre1, Henian Cao1, John F Robinson1, P Barton Duell3, Priya Manjoo4, James Feng5, Irina Movsesyan5, Mary J Malloy5, Clive R Pullinger5, John P Kane5, Robert A Hegele6,1,7.
Abstract
Severe hypertriglyceridemia (HTG) is a relatively common form of dyslipidemia with a complex pathophysiology and serious health complications. HTG can develop in the presence of rare genetic factors disrupting genes involved in the triglyceride (TG) metabolic pathway, including large-scale copy-number variants (CNVs). Improvements in next-generation sequencing technologies and bioinformatic analyses have better allowed assessment of CNVs as possible causes of or contributors to severe HTG. We screened targeted sequencing data of 632 patients with severe HTG and identified partial deletions of the LPL gene, encoding the central enzyme involved in the metabolism of TG-rich lipoproteins, in four individuals (0.63%). We confirmed the genomic breakpoints in each patient with Sanger sequencing. Three patients carried an identical heterozygous deletion spanning the 5' untranslated region (UTR) to LPL exon 2, and one patient carried a heterozygous deletion spanning the 5'UTR to LPL exon 1. All four heterozygous CNV carriers were determined to have multifactorial severe HTG. The predicted null nature of our identified LPL deletions may contribute to relatively higher TG levels and a more severe clinical phenotype than other forms of genetic variation associated with the disease, particularly in the polygenic state. The identification of novel CNVs in patients with severe HTG suggests that methods for CNV detection should be included in the diagnostic workup and molecular genetic evaluation of patients with high TG levels.Entities:
Keywords: bioinformatic analysis; diagnostic tools; dyslipidemias; genetic testing; human genetics; lipoprotein lipase; next-generation sequencing; triglycerides
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Year: 2019 PMID: 31519763 PMCID: PMC6824486 DOI: 10.1194/jlr.P119000335
Source DB: PubMed Journal: J Lipid Res ISSN: 0022-2275 Impact factor: 5.922