Evidence map›Paper›PMID 29650998›Full record

ArticleScientific reports2018

A mega-analysis of expression quantitative trait loci (eQTL) provides insight into the regulatory architecture of gene expression variation in liver.

Tobias Strunz, Felix Grassmann, Javier Gayán, Satu Nahkuri, Debora Souza-Costa, Cyrille Maugeais, Sascha Fauser, Everson Nogoceke, Bernhard H F Weber

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
8.1field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 66 citations in OpenAlex.

  1. Pooled it
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  5. Genetic evidence and cross-species functional characterization implicateProceedings of the National Academy of Sciences of the United States of America · 2026
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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 2 institutions in 2 countries.

Tobias StrunzRoche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Felix GrassmannInstitute of Human Genetics, University of Regensburg, Regensburg, Germany.
Javier GayánRoche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Satu NahkuriRoche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Debora Souza-CostaRoche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Cyrille MaugeaisRoche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Sascha FauserRoche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Everson NogocekeRoche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Bernhard H F WeberInstitute of Human Genetics, University of Regensburg, Regensburg, Germany. bweb@klinik.uni-regensburg.de.ORCID 0000-0002-8808-7723
Roche (Switzerland) · CHUniversity of Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified numerous genetic variants in the human genome associated with diseases and traits. Nevertheless, for most loci the causative variant is still unknown. Expression quantitative trait loci (eQTL) in disease relevant tissues is an excellent approach to correlate genetic association with gene expression. While liver is the primary site of gene transcription for two pathways relevant to age-related macular degeneration (AMD), namely the complement system and cholesterol metabolism, we explored the contribution of AMD associated variants to modulate liver gene expression. We extracted publicly available data and computed the largest eQTL data set for liver tissue to date. Genotypes and expression data from all studies underwent rigorous quality control. Subsequently, Matrix eQTL was used to identify significant local eQTL. In total, liver samples from 588 individuals revealed 202,489 significant eQTL variants affecting 1,959 genes (Q-Value < 0.001). In addition, a further 101 independent eQTL signals were identified in 93 of the 1,959 eQTL genes. Importantly, our results independently reinforce the notion that high density lipoprotein metabolism plays a role in AMD pathogenesis. Taken together, our study generated a first comprehensive map reflecting the genetic regulatory landscape of gene expression in liver.

Indexed as

Genetic Predisposition to DiseaseGene Expression RegulationGenome, HumanGenome-Wide Association StudyGenotypeHumansLiverMacular DegenerationPhenotypePolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID29650998
PMCPMC5897392
OpenAlexW2896599515

What OpenQuestion holds

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LicenceCC BY
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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.