Six years' experience with LipidSeq: clinical and research learnings from a hybrid, targeted sequencing panel for dyslipidemias

被引:59
作者
Dron, Jacqueline S. [1 ,2 ]
Wang, Jian [1 ]
McIntyre, Adam D. [1 ]
Iacocca, Michael A. [1 ,2 ,3 ]
Robinson, John F. [1 ]
Ban, Matthew R. [1 ]
Cao, Henian [1 ]
Hegele, Robert A. [1 ,2 ,4 ]
机构
[1] Western Univ, Schulich Sch Med & Dent, Robarts Res Inst, 1151 Richmond St, London, ON N6A 5B7, Canada
[2] Western Univ, Schulich Sch Med & Dent, Dept Biochem, 1151 Richmond St, London, ON N6A 5B7, Canada
[3] Stanford Univ, Stanford Sch Med, Dept Biomed Data Sci, 450 Serra Mall, Stanford, CA 94305 USA
[4] Western Univ, Schulich Sch Med & Dent, Dept Med, 1151 Richmond St, London, ON N6A 5B7, Canada
基金
加拿大健康研究院;
关键词
Targeted next-generation sequencing panel; Familial hypercholesterolemia; Hypertriglyceridemia; Dyslipidemia; Metabolic disorder; Lipid; Lipoprotein; FAMILIAL HYPERCHOLESTEROLEMIA; POLYGENIC DETERMINANTS; PLASMA-LIPOPROTEINS; GENETIC-VARIANTS; DISEASE; RISK; HYPERTRIGLYCERIDEMIA; ASSOCIATION; DEFICIENCY; GUIDELINES;
D O I
10.1186/s12920-020-0669-2
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
BackgroundIn 2013, our laboratory designed a targeted sequencing panel, "LipidSeq", to study the genetic determinants of dyslipidemia and metabolic disorders. Over the last 6years, we have analyzed 3262 patient samples obtained from our own Lipid Genetics Clinic and international colleagues. Here, we highlight our findings and discuss research benefits and clinical implications of our panel.MethodsLipidSeq targets 69 genes and 185 single-nucleotide polymorphisms (SNPs) either causally related or associated with dyslipidemia and metabolic disorders. This design allows us to simultaneously evaluate monogenic-caused by rare single-nucleotide variants (SNVs) or copy-number variants (CNVs)-and polygenic forms of dyslipidemia. Polygenic determinants were assessed using three polygenic scores, one each for low-density lipoprotein cholesterol, triglyceride, and high-density lipoprotein cholesterol.ResultsAmong 3262 patient samples evaluated, the majority had hypertriglyceridemia (40.1%) and familial hypercholesterolemia (28.3%). Across all samples, we identified 24,931 unique SNVs, including 2205 rare variants predicted disruptive to protein function, and 77 unique CNVs. Considering our own 1466 clinic patients, LipidSeq results have helped in diagnosis and improving treatment options.ConclusionsOur LipidSeq design based on ontology of lipid disorders has enabled robust detection of variants underlying monogenic and polygenic dyslipidemias. In more than 50 publications related to LipidSeq, we have described novel variants, the polygenic nature of many dyslipidemias-some previously thought to be primarily monogenic-and have uncovered novel mechanisms of disease. We further demonstrate several tangible clinical benefits of its use.
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页数:15
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