Evidence map›Paper›PMID 25025429›Full record

ArticlePloS one2014

Single nucleotide polymorphisms with cis-regulatory effects on long non-coding transcripts in human primary monocytes.

Jonas Carlsson Almlöf, Per Lundmark, Anders Lundmark, Bing Ge, Tomi Pastinen, Cardiogenics Consortium, Alison H Goodall, François Cambien, Panos Deloukas, Willem H Ouwehand and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Association Study of ANRIL Genetic Variants and Multiple Sclerosis.Journal of molecular neuroscience : MN · 2018
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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

11 authors at 6 institutions in 5 countries.

Jonas Carlsson AlmlöfDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Per LundmarkDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Anders LundmarkDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Bing GeDepartment of Human Genetics, McGill University, Montréal, Canada.
Tomi PastinenDepartment of Human Genetics, McGill University, Montréal, Canada.
Cardiogenics Consortium
Alison H GoodallDepartment of Cardiovascular Science, University of Leicester, Leicester, United Kingdom; Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, United Kingdom.
François CambienINSERM UMRS 937, Pierre and Marie Curie University and Medical School, Paris, France.
Panos DeloukasWilliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Heart Centre, Charterhouse Square London, United Kingdom; Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom; Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia.
Willem H OuwehandWellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom; National Health Service Blood and Transplant, Cambridge Centre, Long Road, Cambridge, United Kingdom.
Ann-Christine SyvänenDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Science for Life Laboratory · SEMcGill University · CAWellcome Sanger Institute · GBInstitut Cardiovasculaire Paris Sud · FRUniversity of Leicester · GBUppsala University · SE

Funding

British Heart Foundation RG/09/012/28096Department of Health RP-PG-0310-1002Wellcome Trust
6 · The paper itself

Abstract

We applied genome-wide allele-specific expression analysis of monocytes from 188 samples. Monocytes were purified from white blood cells of healthy blood donors to detect cis-acting genetic variation that regulates the expression of long non-coding RNAs. We analysed 8929 regions harboring genes for potential long non-coding RNA that were retrieved from data from the ENCODE project. Of these regions, 60% were annotated as intergenic, which implies that they do not overlap with protein-coding genes. Focusing on the intergenic regions, and using stringent analysis of the allele-specific expression data, we detected robust cis-regulatory SNPs in 258 out of 489 informative intergenic regions included in the analysis. The cis-regulatory SNPs that were significantly associated with allele-specific expression of long non-coding RNAs were enriched to enhancer regions marked for active or bivalent, poised chromatin by histone modifications. Out of the lncRNA regions regulated by cis-acting regulatory SNPs, 20% (n = 52) were co-regulated with the closest protein coding gene. We compared the identified cis-regulatory SNPs with those in the catalog of SNPs identified by genome-wide association studies of human diseases and traits. This comparison identified 32 SNPs in loci from genome-wide association studies that displayed a strong association signal with allele-specific expression of non-coding RNAs in monocytes, with p-values ranging from 6.7×10(-7) to 9.5×10(-89). The identified cis-regulatory SNPs are associated with diseases of the immune system, like multiple sclerosis and rheumatoid arthritis.

Indexed as

Polymorphism, Single NucleotideCells, CulturedGene ExpressionGene Expression RegulationGenome-Wide Association StudyHumansMolecular Sequence AnnotationMonocytesOpen Reading FramesRNA, Long NoncodingRNA, Long Noncoding

Identifiers

PMID25025429
PMCPMC4099216
OpenAlexW2132556073

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.