Evidence map›Paper›PMID 33235230›Full record

ArticleScientific reports2020

Qtlizer: comprehensive QTL annotation of GWAS results.

Matthias Munz, Inken Wohlers, Eric Simon, Tobias Reinberger, Hauke Busch, Arne S Schaefer, Jeanette Erdmann

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

  1. Single cell variant to enhancer to gene map for coronary artery disease.medRxiv : the preprint server for health sciences · 2024
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  9. Microbiome-associated human genetic variants impact phenome-wide disease risk.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

7 authors at 4 institutions in 1 country.

Matthias MunzInstitute for Cardiogenetics, University of Lübeck, 23562, Lübeck, Germany. matthias.munz@gmx.de.
Inken WohlersMedical Systems Biology Group, Institute of Experimental Dermatology, Institute for Cardiogenetics, University of Lübeck, 23562, Lübeck, Germany.
Eric SimonComputational Biology, Boehringer Ingelheim Pharma GmbH & Co KG, 88397, Biberach, Germany.
Tobias ReinbergerInstitute for Cardiogenetics, University of Lübeck, 23562, Lübeck, Germany.
Hauke BuschMedical Systems Biology Group, Institute of Experimental Dermatology, Institute for Cardiogenetics, University of Lübeck, 23562, Lübeck, Germany.
Arne S SchaeferCharité - University Medicine Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Institute for Dental and Craniofacial Sciences, Department of Periodontology and Synoptic Dentistry, 14197, Berlin, Germany.
Jeanette ErdmannInstitute for Cardiogenetics, University of Lübeck, 23562, Lübeck, Germany. jeanette.erdmann@uni-luebeck.de.
University of Lübeck · DEBoehringer Ingelheim (Germany) · DEGerman Centre for Cardiovascular Research · DEHumboldt-Universität zu Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exploration of genetic variant-to-gene relationships by quantitative trait loci such as expression QTLs is a frequently used tool in genome-wide association studies. However, the wide range of public QTL databases and the lack of batch annotation features complicate a comprehensive annotation of GWAS results. In this work, we introduce the tool "Qtlizer" for annotating lists of variants in human with associated changes in gene expression and protein abundance using an integrated database of published QTLs. Features include incorporation of variants in linkage disequilibrium and reverse search by gene names. Analyzing the database for base pair distances between best significant eQTLs and their affected genes suggests that the commonly used cis-distance limit of 1,000,000 base pairs might be too restrictive, implicating a substantial amount of wrongly and yet undetected eQTLs. We also ranked genes with respect to the maximum number of tissue-specific eQTL studies in which a most significant eQTL signal was consistent. For the top 100 genes we observed the strongest enrichment with housekeeping genes (P = 2 × 10

Indexed as

Quantitative Trait LociBase PairingComputational BiologyGene Expression RegulationGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumOrgan SpecificityPolymorphism, Single Nucleotide

Identifiers

PMID33235230
PMCPMC7687904
OpenAlexW3106710366

What Socratic holds

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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 Socratic graph.