Evidence map›Paper›PMID 30541564›Full record

ArticleRespiratory research2018

Identification of deleterious and regulatory genomic variations in known asthma loci.

Matthew D C Neville, Jihoon Choi, Jonathan Lieberman, Qing Ling Duan

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2018. 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
0.3field-weighted citation impact, top 39% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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

4 authors at 1 institution in 1 country.

Matthew D C NevilleDepartment of Biomedical and Molecular Sciences, Queen's University, Botterell Hall, Room 530 - 18 Stuart St, Kingston, ON, K7L3N6, Canada.
Jihoon ChoiDepartment of Biomedical and Molecular Sciences, Queen's University, Botterell Hall, Room 530 - 18 Stuart St, Kingston, ON, K7L3N6, Canada.
Jonathan LiebermanDepartment of Biomedical and Molecular Sciences, Queen's University, Botterell Hall, Room 530 - 18 Stuart St, Kingston, ON, K7L3N6, Canada.
Qing Ling DuanDepartment of Biomedical and Molecular Sciences, Queen's University, Botterell Hall, Room 530 - 18 Stuart St, Kingston, ON, K7L3N6, Canada. qingling.duan@queensu.ca.
Queen's University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCandidate gene and genome-wide association studies have identified hundreds of asthma risk loci. The majority of associated variants, however, are not known to have any biological function and are believed to represent markers rather than true causative mutations. We hypothesized that many of these associated markers are in linkage disequilibrium (LD) with the elusive causative variants.

methodsWe compiled a comprehensive list of 449 asthma-associated variants previously reported in candidate gene and genome-wide association studies. Next, we identified all sequence variants located within the 305 unique genes using whole-genome sequencing data from the 1000 Genomes Project. Then, we calculated the LD between known asthma variants and the sequence variants within each gene. LD variants identified were then annotated to determine those that are potentially deleterious and/or functional (i.e. coding or regulatory effects on the encoded transcript or protein).

resultsWe identified 10,130 variants in LD (r

conclusionsThis study is proof of concept that many of the genetic loci previously associated with complex diseases such as asthma are not causative but represent markers of disease, which are in LD with the elusive causative variants. We hereby report a number of potentially deleterious and regulatory variants that are in LD with the reported asthma loci. These reported LD variants could account for the original association signals with asthma and represent the true causative mutations at these loci.

Indexed as

AsthmaGenetic Predisposition to DiseaseGenetic VariationGenomicsHumansPolymorphism, Single NucleotideQuantitative Trait LociAsthmaCausal variantseQTLsHeritabilityLinkage disequilibriumSNPs

Identifiers

PMID30541564
PMCPMC6292105
OpenAlexW2951845236

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.