Evidence map›Paper›PMID 34325833›Full record

ArticleJournal of the American College of Cardiology2021

Frequent LPA KIV-2 Variants Lower Lipoprotein(a) Concentrations and Protect Against Coronary Artery Disease.

Johanna F Schachtl-Riess, Azin Kheirkhah, Rebecca Grüneis, Silvia Di Maio, Sebastian Schoenherr, Gertraud Streiter, Jamie Lee Losso, Bernhard Paulweber, Kai-Uwe Eckardt, Anna Köttgen and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American College of Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
14.4field-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

28 citing papers in PubMed, 85 citations in OpenAlex.

  1. Review
  2. Article
  3. Journal of the American Heart Association · 2026
    Article
  4. The Emerging Lipid Risk: Lipoprotein(a).Korean circulation journal · 2026
    Review
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  7. Review
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  15. Correlation ofWorld journal of cardiology · 2025
    Article
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  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 2 countries.

Johanna F Schachtl-RiessInstitute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
Azin KheirkhahInstitute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
Rebecca GrüneisInstitute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
Silvia Di MaioInstitute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
Sebastian SchoenherrInstitute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
Gertraud StreiterInstitute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
Jamie Lee LossoInstitute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
Bernhard PaulweberFirst Department of Internal Medicine, Paracelsus Private Medical University, Salzburg, Austria.
Kai-Uwe EckardtDepartment of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany; Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Anna KöttgenInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Claudia LaminaInstitute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
Florian KronenbergInstitute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria. Electronic address: Florian.Kronenberg@i-med.ac.at.
Stefan CoassinInstitute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria. Electronic address: Stefan.Coassin@i-med.ac.at.
GCKD Investigators
Innsbruck Medical University · ATUniversität Innsbruck · ATCharité - Universitätsmedizin Berlin · DEParacelsus Medical University · ATUniversity of Freiburg · DE

Funding

Austrian Science Fund FWF P 31458Austrian Science Fund FWF W 1253British Heart Foundation CH/1996001/9454Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

backgroundLipoprotein(a) (Lp(a)) concentrations are a major independent risk factor for coronary artery disease (CAD) and are mainly determined by variation in LPA. Up to 70% of the LPA coding sequence is located in the hypervariable kringle IV type 2 (KIV-2) region. It is hardly accessible by conventional technologies, but may contain functional variants.

objectivesThis study sought to investigate the new, very frequent splicing variant KIV-2 4733G>A on Lp(a) and CAD.

methodsWe genotyped 4733G>A in the GCKD (German Chronic Kidney Disease) study (n = 4,673) by allele-specific polymerase chain reaction, performed minigene assays, identified proxy single nucleotide polymorphisms and used them to characterize its effect on CAD by survival analysis in UK Biobank (n = 440,234). Frequencies in ethnic groups were assessed in the 1000 Genomes Project.

resultsThe 4733G>A variant (38.2% carrier frequency) was found in most isoform sizes. It reduces allelic expression without abolishing protein production, lowers Lp(a) by 13.6 mg/dL (95% CI: 12.5-14.7; P < 0.0001) and is the strongest variance-explaining factor after the smaller isoform. Splicing of minigenes was modified. Compound heterozygosity (4.6% of the population) for 4733G>A and 4925G>A, another KIV-2 splicing mutation, reduces Lp(a) by 31.8 mg/dL and most importantly narrows the interquartile range by 9-fold (from 42.1 to 4.6 mg/dL) when compared to the wild type. In UK Biobank 4733G>A alone and compound heterozygosity with 4925G>A reduced HR for CAD by 9% (95% CI: 7%-11%) and 12% (95% CI: 7%-16%) (both P < 0.001). Frequencies in ethnicities differ notably.

conclusionsFunctional variants in the previously inaccessible LPA KIV-2 region cooperate in determining Lp(a) variance and CAD risk. Even a moderate but lifelong genetic Lp(a) reduction translates to a noticeable CAD risk reduction.

Indexed as

Coronary Artery DiseaseGenetic VariationHumansKringlesLipoprotein(a)Prospective StudiesLipoprotein(a)cardiovascular diseasecohort studycopy number variationgenetic variabilitylipoprotein(a)Mendelian randomization

Identifiers

PMID34325833
PMCPMC7613585
OpenAlexW3186251971

What OpenQuestion holds

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Registered trials

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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.