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Dive into the research topics where Jacqueline S. Dron is active.

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Featured researches published by Jacqueline S. Dron.


Arteriosclerosis, Thrombosis, and Vascular Biology | 2016

Polygenic Versus Monogenic Causes of Hypercholesterolemia Ascertained Clinically

Jian Wang; Jacqueline S. Dron; Matthew R. Ban; John F. Robinson; Adam D. McIntyre; Maher Alazzam; Pei Jun Zhao; Allison A. Dilliott; Henian Cao; Murray W. Huff; David Rhainds; Cécile Low-Kam; Marie-Pierre Dubé; Guillaume Lettre; Jean-Claude Tardif; Robert A. Hegele

Objective—Next-generation sequencing technology is transforming our understanding of heterozygous familial hypercholesterolemia, including revision of prevalence estimates and attribution of polygenic effects. Here, we examined the contributions of monogenic and polygenic factors in patients with severe hypercholesterolemia referred to a specialty clinic. Approach and Results—We applied targeted next-generation sequencing with custom annotation, coupled with evaluation of large-scale copy number variation and polygenic scores for raised low-density lipoprotein cholesterol in a cohort of 313 individuals with severe hypercholesterolemia, defined as low-density lipoprotein cholesterol >5.0 mmol/L (>194 mg/dL). We found that (1) monogenic familial hypercholesterolemia–causing mutations detected by targeted next-generation sequencing were present in 47.3% of individuals; (2) the percentage of individuals with monogenic mutations increased to 53.7% when copy number variations were included; (3) the percentage further increased to 67.1% when individuals with extreme polygenic scores were included; and (4) the percentage of individuals with an identified genetic component increased from 57.0% to 92.0% as low-density lipoprotein cholesterol level increased from 5.0 to >8.0 mmol/L (194 to >310 mg/dL). Conclusions—In a clinically ascertained sample with severe hypercholesterolemia, we found that most patients had a discrete genetic basis detected using a comprehensive screening approach that includes targeted next-generation sequencing, an assay for copy number variations, and polygenic trait scores.


Annual Review of Pharmacology and Toxicology | 2017

PCSK9: Regulation and Target for Drug Development for Dyslipidemia

Amy C. Burke; Jacqueline S. Dron; Robert A. Hegele; Murray W. Huff

Proprotein convertase subtilisin/kexin type-9 (PCSK9) is a secreted zymogen expressed primarily in the liver. PCSK9 circulates in plasma, binds to cell surface low-density lipoprotein (LDL) receptors, is internalized, and then targets the receptors to lysosomal degradation. Studies of naturally occurring PCSK9 gene variants that caused extreme plasma LDL cholesterol (LDL-C) deviations and altered atherosclerosis risk unleashed a torrent of biological and pharmacological research. Rapid progress in understanding the physiological regulation of PCSK9 was soon translated into commercially available biological inhibitors of PCSK9 that reduced LDL-C levels and likely also cardiovascular outcomes. Here we review the swift evolution of PCSK9 from novel gene to drug target, to animal and human testing, and finally to outcome trials and clinical applications. In addition, we explore how the genetics-guided path to PCSK9 inhibitor development exemplifies a new paradigm in pharmacology. Finally, we consider some potential challenges as PCSK9 inhibition becomes established in the clinic.


Current Opinion in Lipidology | 2017

Complexity of mechanisms among human proprotein convertase subtilisin–kexin type 9 variants

Jacqueline S. Dron; Robert A. Hegele

Purpose of review There are many reports of human variants in proprotein convertase subtilisin–kexin type 9 (PCSK9) that are either gain-of-function (GOF) or loss-of-function (LOF), with downstream effects on LDL cholesterol and cardiovascular disease (CVD) risk. However, data on particular mechanisms have only been minimally curated. Recent findings GOF variants are individually ultrarare, affect all domains of the protein, act to reduce LDL receptor expression through several mechanisms, are a minor cause of familial hypercholesterolemia, have been reported mainly within families, have variable LDL cholesterol–raising effects, and are associated with increased CVD risk mainly through observational studies in families and small cohorts. In contrast, LOF variants can be either ultrarare mutations or relatively more common polymorphisms seen in populations, affect all domains of the protein, act to increase LDL receptor expression through several mechanisms, have variable LDL cholesterol–lowering effects, and have been associated with decreased CVD risk mainly through Mendelian randomization studies in epidemiologic populations. Summary There is considerable complexity underlying the clinical concept of both LOF and GOF variants of PCSK9. But despite the underlying mechanistic heterogeneity, altered PCSK9 secretion or function is ultimately correlated with plasma LDL cholesterol level, which is also the driver of CVD outcomes.


Current Genetic Medicine Reports | 2016

Genetics of Lipid and Lipoprotein Disorders and Traits

Jacqueline S. Dron; Robert A. Hegele

Purpose of ReviewPlasma lipids, namely cholesterol and triglyceride, and lipoproteins, such as low-density lipoprotein (LDL) and high-density lipoprotein, serve numerous physiological roles. Perturbed levels of these traits underlie monogenic dyslipidemias, a diverse group of multisystem disorders. We are on the verge of having a relatively complete picture of the human dyslipidemias and their components.Recent FindingsRecent advances in genetics of plasma lipids and lipoproteins include the following: (1) expanding the range of genes causing monogenic dyslipidemias, particularly elevated LDL cholesterol; (2) appreciating the role of polygenic effects in such traits as familial hypercholesterolemia and combined hyperlipidemia; (3) accumulating a list of common variants that determine plasma lipids and lipoproteins; (4) applying exome sequencing to identify collections of rare variants determining plasma lipids and lipoproteins that via Mendelian randomization have also implicated gene products such as NPC1L1, APOC3, LDLR, APOA5, and ANGPTL4 as causal for atherosclerotic cardiovascular disease; and (5) using naturally occurring genetic variation to identify new drug targets, including inhibitors of apolipoprotein (apo) C-III, apo(a), ANGPTL3, and ANGPTL4.SummaryHere, we compile this disparate range of data linking human genetic variation to plasma lipids and lipoproteins, providing a “one stop shop” for the interested reader.


Journal of Lipid Research | 2017

Use of next-generation sequencing to detectLDLRgene copy number variation in familial hypercholesterolemia

Michael A. Iacocca; Jian Wang; Jacqueline S. Dron; John F. Robinson; Adam D. McIntyre; Henian Cao; Robert A. Hegele

Familial hypercholesterolemia (FH) is a heritable condition of severely elevated LDL cholesterol, caused predominantly by autosomal codominant mutations in the LDL receptor gene (LDLR). In providing a molecular diagnosis for FH, the current procedure often includes targeted next-generation sequencing (NGS) panels for the detection of small-scale DNA variants, followed by multiplex ligation-dependent probe amplification (MLPA) in LDLR for the detection of whole-exon copy number variants (CNVs). The latter is essential because ∼10% of FH cases are attributed to CNVs in LDLR; accounting for them decreases false negative findings. Here, we determined the potential of replacing MLPA with bioinformatic analysis applied to NGS data, which uses depth-of-coverage analysis as its principal method to identify whole-exon CNV events. In analysis of 388 FH patient samples, there was 100% concordance in LDLR CNV detection between these two methods: 38 reported CNVs identified by MLPA were also successfully detected by our NGS method, while 350 samples negative for CNVs by MLPA were also negative by NGS. This result suggests that MLPA can be removed from the routine diagnostic screening for FH, significantly reducing associated costs, resources, and analysis time, while promoting more widespread assessment of this important class of mutations across diagnostic laboratories.


Current Atherosclerosis Reports | 2017

Genetics of Triglycerides and the Risk of Atherosclerosis

Jacqueline S. Dron; Robert A. Hegele

Purpose of ReviewPlasma triglycerides are routinely measured with a lipid profile, and elevated plasma triglycerides are commonly encountered in the clinic. The confounded nature of this trait, which is correlated with numerous other metabolic perturbations, including depressed high-density lipoprotein cholesterol (HDL-C), has thwarted efforts to directly implicate triglycerides as causal in atherogenesis. Human genetic approaches involving large-scale populations and high-throughput genomic assessment under a Mendelian randomization framework have undertaken to sort out questions of causality.Recent FindingsWe review recent large-scale meta-analyses of cohorts and population-based sequencing studies designed to address whether common and rare variants in genes whose products are determinants of plasma triglycerides are also associated with clinical cardiovascular endpoints. The studied loci include genes encoding lipoprotein lipase and proteins that interact with it, such as apolipoprotein (apo) A-V, apo C-III and angiopoietin-like proteins 3 and 4, and common polymorphisms identified in genome-wide association studies.SummaryTriglyceride-raising variant alleles of these genes showed generally strong associations with clinical cardiovascular endpoints. However, in most cases, a second lipid disturbance—usually depressed HDL-C—was concurrently associated. While the findings collectively shift our understanding towards a potential causal role for triglycerides, we still cannot rule out the possibilities that triglycerides are a component of a joint phenotype with low HDL-C or that they are but markers of deeper causal metabolic disturbances that are not routinely measured in epidemiological-scale genetic studies.


Journal of Lipid Research | 2017

Polygenic determinants in extremes of high-density lipoprotein cholesterol

Jacqueline S. Dron; Jian Wang; Cécile Low-Kam; Sumeet A. Khetarpal; John F. Robinson; Adam D. McIntyre; Matthew R. Ban; Henian Cao; David Rhainds; Marie-Pierre Dubé; Daniel J. Rader; Guillaume Lettre; Jean-Claude Tardif; Robert A. Hegele

HDL cholesterol (HDL-C) remains a superior biochemical predictor of CVD risk, but its genetic basis is incompletely defined. In patients with extreme HDL-C concentrations, we concurrently evaluated the contributions of multiple large- and small-effect genetic variants. In a discovery cohort of 255 unrelated lipid clinic patients with extreme HDL-C levels, we used a targeted next-generation sequencing panel to evaluate rare variants in known HDL metabolism genes, simultaneously with common variants bundled into a polygenic trait score. Two additional cohorts were used for validation and included 1,746 individuals from the Montréal Heart Institute Biobank and 1,048 individuals from the University of Pennsylvania. Findings were consistent between cohorts: we found rare heterozygous large-effect variants in 18.7% and 10.9% of low- and high-HDL-C patients, respectively. We also found common variant accumulation, indicated by extreme polygenic trait scores, in an additional 12.8% and 19.3% of overall cases of low- and high-HDL-C extremes, respectively. Thus, the genetic basis of extreme HDL-C concentrations encountered clinically is frequently polygenic, with contributions from both rare large-effect and common small-effect variants. Multiple types of genetic variants should be considered as contributing factors in patients with extreme dyslipidemia.


Arteriosclerosis, Thrombosis, and Vascular Biology | 2017

Recent Advances in the Genetics of Atherothrombotic Disease and Its Determinants

Jacqueline S. Dron; Rosettia Ho; Robert A. Hegele

Over the past 2 years, the pace of scientific discovery in human genetics related to atherothrombotic disease and vascular biology has been rapid, with no shortage of innovative articles published in ATVB. Several studies have identified novel loci by genetic association approaches, whereas others focused on validating genome-wide association study (GWAS) data functionally. Strides were also made with micro-RNAs (miRNAs) and their use as biomarkers and therapeutic targets in disease. Furthermore, molecular and mechanistic bases of certain genetic conditions, including dyslipidemias, were characterized. Here, we review genetic-themed articles published in ATVB since 2015, which highlight rapid advances in the field. A popular type of study in human genetics is the association study, which classically is performed in 1 of 2 forms.1 In the first, a quantitative phenotypic feature is measured in a population sample, genotypic strata are created from alleles of a common DNA variant, and differences between genotypic classes are tested statistically. In the second, cases with a discrete trait or disorder are matched with controls who are free of the trait. Both groups are genotyped for a common DNA variant, and differences in allele or genotype frequencies between cases and controls are evaluated statistically. Both forms of association studies can be performed millions of times with microarrays that genotype single nucleotide polymorphisms (SNPs) from across the human genome, with adjustments for multiple testing; the extreme case is GWAS. Often, when results are reported, there is no direct experimental testing of biological impact of the associated alleles. For instance, in 812 participants of the 15-year Bruneck study, a noncoding DNA microsatellite polymorphism in the promoter region of the HMOX1 gene, encoding heme oxidase-1 was associated with increased carotid atherosclerosis and a trend to higher levels of oxidized phospholipids; however, …


Journal of Lipid Research | 2018

Large-scale deletions of the ABCA1 gene in patients with hypoalphalipoproteinemia

Jacqueline S. Dron; Jian Wang; Amanda J. Berberich; Michael A. Iacocca; Henian Cao; Ping Yang; Joan H. M. Knoll; Karine Tremblay; Diane Brisson; Christian Netzer; Ioanna Gouni-Berthold; Daniel Gaudet; Robert A. Hegele

Copy-number variations (CNVs) have been studied in the context of familial hypercholesterolemia but have not yet been evaluated in patients with extreme levels of HDL cholesterol. We evaluated targeted, next-generation sequencing data from patients with very low levels of HDL cholesterol (i.e., hypoalphalipoproteinemia) with the VarSeq-CNV® caller algorithm to screen for CNVs that disrupted the ABCA1, LCAT, or APOA1 genes. In four individuals, we found three unique deletions in ABCA1: a heterozygous deletion of exon 4, a heterozygous deletion that spanned exons 8 to 31, and a heterozygous deletion of the entire ABCA1 gene. Breakpoints were identified with Sanger sequencing, and the full-gene deletion was confirmed by using exome sequencing and the Affymetrix CytoScan HD array. Previously, large-scale deletions in candidate HDL genes had not been associated with hypoalphalipoproteinemia; our findings indicate that CNVs in ABCA1 may be a previously unappreciated genetic determinant of low levels of HDL cholesterol. By coupling bioinformatic analyses with next-generation sequencing data, we can successfully assess the spectrum of genetic determinants of many dyslipidemias, including hypoalphalipoproteinemia.


Canadian Journal of Cardiology | 2018

Whole-gene duplication of PCSK9 as a novel genetic mechanism for severe familial hypercholesterolemia

Michael A. Iacocca; Jian Wang; Samantha Sarkar; Jacqueline S. Dron; Thomas A. Lagace; Adam D. McIntyre; Paulina Lau; John F. Robinson; Ping Yang; Joan H. M. Knoll; Henian Cao; Ruth McPherson; Robert A. Hegele

BACKGROUND Familial hypercholesterolemia (FH) is a common genetic disorder of severely elevated low-density lipoprotein (LDL) cholesterol, characterized by premature atherosclerotic cardiovascular disease. Although copy number variations (CNVs) are a large-scale mutation-type capable of explaining FH cases, they have been, to date, assessed only in the LDLR gene. Here, we performed novel CNV screening in additional FH-associated genes using a next-generation sequencing-based approach. METHODS In 704 patients with FH, we sequenced FH-associated genes APOB, PCSK9, LDLRAP1, APOE, STAP1, LIPA, and ABCG5/8 using our LipidSeq targeted next-generation sequencing panel. Bioinformatic tools were applied to LipidSeq data for CNV screening, and identified CNVs were validated using whole-exome sequencing and microarray-based copy number analyses. RESULTS We identified a whole-gene duplication of PCSK9 in 2 unrelated Canadian FH index cases; this PCSK9 CNV was also found to cosegregate with affected status in family members. Features in affected individuals included severely elevated LDL cholesterol levels that were refractory to intensive statin therapy, pronounced clinical stigmata, premature cardiovascular events, and a plasma PCSK9 of approximately 5000 ng/mL in 1 index case. We found no CNVs in APOB, LDLRAP1, APOE, STAP1, LIPA, and ABCG5/8 in our cohort of 704 FH individuals. CONCLUSIONS Here, we report the first description of a CNV affecting the PCSK9 gene in FH. This finding is associated with a profound FH phenotype and the highest known plasma PCSK9 level reported in a human. This finding also has therapeutic relevance, as elevated PCSK9 levels may limit the efficacy of high-dose statin therapy and also PCSK9 inhibition.

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Robert A. Hegele

University of Western Ontario

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Henian Cao

University of Western Ontario

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Jian Wang

Chinese Academy of Sciences

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Adam D. McIntyre

University of Western Ontario

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John F. Robinson

Robarts Research Institute

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Michael A. Iacocca

University of Western Ontario

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Matthew R. Ban

University of Western Ontario

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David Rhainds

Montreal Heart Institute

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