Evidence map›Paper›PMID 32041611›Full record

Trial reportBMC medical genomics2020

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

Jacqueline S Dron, Jian Wang, Adam D McIntyre, Michael A Iacocca, John F Robinson, Matthew R Ban, Henian Cao, Robert A Hegele

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
11.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Genetic Determinants of Severe Hypertriglyceridemia: Rare Variants inInternational journal of molecular sciences · 2026
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  10. Review
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  14. Phenotype in Individuals with Heterozygous Rare Variants inInternational journal of molecular sciences · 2024
    Article
  15. Reduced lipoprotein (a) in patients with severe hypertriglyceridaemia.The Journal of international medical research · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 2 countries.

Jacqueline S DronRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St, London, ON, N6A 5B7, Canada.ORCID 0000-0002-3045-6530
Jian WangRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St, London, ON, N6A 5B7, Canada.
Adam D McIntyreRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St, London, ON, N6A 5B7, Canada.
Michael A IacoccaRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St, London, ON, N6A 5B7, Canada.
John F RobinsonRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St, London, ON, N6A 5B7, Canada.
Matthew R BanRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St, London, ON, N6A 5B7, Canada.
Henian CaoRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St, London, ON, N6A 5B7, Canada.
Robert A HegeleRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St, London, ON, N6A 5B7, Canada. hegele@robarts.ca.ORCID 0000-0003-2861-5325
Western University · CA

Funding

CIHR
6 · The paper itself

Abstract

backgroundIn 2013, our laboratory designed a targeted sequencing panel, "LipidSeq", to study the genetic determinants of dyslipidemia and metabolic disorders. Over the last 6 years, 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.

Indexed as

DNA Copy Number VariationsMultifactorial InheritancePolymorphism, Single NucleotideAdultAgedCholesterol, HDLCholesterol, LDLDyslipidemiasFemaleHumansMaleMiddle AgedTriglyceridesCholesterol, HDLCholesterol, LDLTriglyceridesDyslipidemiaFamilial hypercholesterolemiaHypertriglyceridemiaLipidLipoproteinMetabolic disorderTargeted next-generation sequencing panel

Identifiers

PMID32041611
PMCPMC7011550
OpenAlexW3012282232

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.