Evidence map›Paper›PMID 26800306›Full record

ArticleAtherosclerosis2016

Post-GWAS methodologies for localisation of functional non-coding variants: ANGPTL3.

Federico Oldoni, Jutta Palmen, Claudia Giambartolomei, Philip Howard, Fotios Drenos, Vincent Plagnol, Steve E Humphries, Philippa J Talmud, Andrew J P Smith

Open access · hybridAbstract read
In one paragraph

Article in Atherosclerosis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Twin Studies: Current Status and Future Directions.Journal of atherosclerosis and thrombosis · 2024
    Article
  4. Article
  5. Disease-associated non-coding variants alter NKX2-5 DNA-binding affinity.Biochimica et biophysica acta. Gene regulatory mechanisms · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
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  12. Review
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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

9 authors at 3 institutions in 2 countries.

Federico OldoniDepartment of Cardiovascular Genetics, Institute of Cardiovascular Sciences, University College London, London, UK; Department of Molecular Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Jutta PalmenDepartment of Cardiovascular Genetics, Institute of Cardiovascular Sciences, University College London, London, UK.
Claudia GiambartolomeiUCL Genetics Institute, University College London, London, UK.
Philip HowardDepartment of Cardiovascular Genetics, Institute of Cardiovascular Sciences, University College London, London, UK.
Fotios DrenosDepartment of Cardiovascular Genetics, Institute of Cardiovascular Sciences, University College London, London, UK.
Vincent PlagnolUCL Genetics Institute, University College London, London, UK.
Steve E HumphriesDepartment of Cardiovascular Genetics, Institute of Cardiovascular Sciences, University College London, London, UK.
Philippa J TalmudDepartment of Cardiovascular Genetics, Institute of Cardiovascular Sciences, University College London, London, UK.
Andrew J P SmithDepartment of Cardiovascular Genetics, Institute of Cardiovascular Sciences, University College London, London, UK. Electronic address: Andrew.J.P.Smith@ucl.ac.uk.
University College London · GBSmith Institute · GBUniversity Medical Center Groningen · NL

Funding

British Heart Foundation FS/13/6/29977British Heart Foundation PG2008/008British Heart Foundation RG/08/008/25291Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/5
6 · The paper itself

Abstract

Genome-wide association studies have confirmed the involvement of non-coding angiopoietin-like 3 (ANGPTL3) gene variants with coronary artery disease, levels of low-density lipoprotein cholesterol (LDL-C), triglycerides and ANGPTL3 mRNA transcript. Extensive linkage disequilibrium at the locus, however, has hindered efforts to identify the potential functional variants. Using regulatory annotations from ENCODE, combined with functional in vivo assays such as allele-specific formaldehyde-assisted isolation of regulatory elements, statistical approaches including eQTL/lipid colocalisation, and traditional in vitro methodologies including electrophoretic mobility shift assay and luciferase reporter assays, variants affecting the ANGPTL3 regulome were examined. From 253 variants associated with ANGPTL3 mRNA expression, and/or lipid traits, 46 were located within liver regulatory elements and potentially functional. One variant, rs10889352, demonstrated allele-specific effects on DNA-protein interactions, reporter gene expression and chromatin accessibility, in line with effects on LDL-C levels and expression of ANGPTL3 mRNA. The ANGPTL3 gene lies within DOCK7, although the variant is within non-coding regions outside of ANGPTL3, within DOCK7, suggesting complex long-range regulatory effects on gene expression. This study illustrates the power of combining multiple genome-wide datasets with laboratory data to localise functional non-coding variation and provides a model for analysis of regulatory variants from GWAS.

Indexed as

Databases, GeneticPolymorphism, Single NucleotideAngiopoietin-Like Protein 3Angiopoietin-like ProteinsAngiopoietinsChromatin Assembly and DisassemblyComputational BiologyCoronary Artery DiseaseGene Expression RegulationGenetic Predisposition to DiseaseGenome-Wide Association StudyHep G2 CellsHumansPhenotypeQuantitative Trait LociTime FactorsAngiopoietin-Like Protein 3Angiopoietin-like ProteinsAngiopoietinsANGPTL3 protein, humanANGPTL3ChromatinFAIREFunctional polymorphismGenome-wideLDL-CPolymorphismRegulation

Identifiers

PMID26800306
PMCPMC4773290
OpenAlexW2212855130

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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.