Evidence map›Paper›PMID 30618377›Full record

ArticleeLife2019

Genetic effects on promoter usage are highly context-specific and contribute to complex traits.

Kaur Alasoo, Julia Rodrigues, John Danesh, Daniel F Freitag, Dirk S Paul, Daniel J Gaffney

Open access · goldAbstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

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  19. Quantifying transcriptome diversity: a review.Briefings in functional genomics · 2024
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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

6 authors at 2 institutions in 2 countries.

Kaur AlasooInstitute of Computer Science, University of Tartu, Tartu, Estonia.ORCID 0000-0002-1761-8881
Julia RodriguesWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.
John DaneshWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.
Daniel F FreitagWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.
Dirk S PaulWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.ORCID 0000-0002-8230-0116
Daniel J GaffneyWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.
Wellcome Sanger Institute · GBUniversity of Cambridge · GB

Funding

British Heart Foundation RG/13/13/30194British Heart Foundation Cambridge Centre of Excellence RE/13/6/30180Estonian Research Council IUT34-4Estonian Research Council MOBJD67Medical Research Council MR/L003120/1Wellcome WT09805Wellcome WT098503Wellcome WT099754/Z/12/ZWellcome Trust
6 · The paper itself

Abstract

Genetic variants regulating RNA splicing and transcript usage have been implicated in both common and rare diseases. Although transcript usage quantitative trait loci (tuQTLs) have been mapped across multiple cell types and contexts, it is challenging to distinguish between the main molecular mechanisms controlling transcript usage: promoter choice, splicing and 3' end choice. Here, we analysed RNA-seq data from human macrophages exposed to three inflammatory and one metabolic stimulus. In addition to conventional gene-level and transcript-level analyses, we also directly quantified promoter usage, splicing and 3' end usage. We found that promoters, splicing and 3' ends were predominantly controlled by independent genetic variants enriched in distinct genomic features. Promoter usage QTLs were also 50% more likely to be context-specific than other tuQTLs and constituted 25% of the transcript-level colocalisations with complex traits. Thus, promoter usage might be an underappreciated molecular mechanism mediating complex trait associations in a context-specific manner.

Indexed as

Promoter Regions, GeneticQuantitative Trait, HeritableFemaleGene Expression RegulationHumansMacrophagesMaleQuantitative Trait LociRNA, MessengerRNA, Messengercomputational biologygeneticsgenomicshumanmacrophagesRNA-seqsplicingsystems biologytranscription

Identifiers

PMID30618377
PMCPMC6349408
OpenAlexW2952701000

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.