Evidence map›Paper›PMID 28114305›Full record

ArticlePloS one2017

Targeted Sequencing of Lung Function Loci in Chronic Obstructive Pulmonary Disease Cases and Controls.

María Soler Artigas, Louise V Wain, Nick Shrine, Tricia M McKeever, UK BiLEVE, Ian Sayers, Ian P Hall, Martin D Tobin

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Whole-Genome Sequencing in Severe Chronic Obstructive Pulmonary Disease.American journal of respiratory cell and molecular biology · 2018
    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

8 authors.

María Soler ArtigasGenetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, United Kingdom.ORCID http://orcid.org/0000-0002-3213-1107
Louise V WainGenetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, United Kingdom.
Nick ShrineGenetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, United Kingdom.
Tricia M McKeeverDivision of Respiratory Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, United Kingdom.
UK BiLEVE
Ian SayersDivision of Respiratory Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, United Kingdom.
Ian P HallDivision of Respiratory Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, United Kingdom.
Martin D TobinGenetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, United Kingdom.ORCID http://orcid.org/0000-0002-3596-7874

Funding

Medical Research Council G0902313Medical Research Council G1000861Medical Research Council MC_PC_12010Medical Research Council MC_QA137853Medical Research Council MR/N011317/1Wellcome Trust 202849/Z/16/Z
6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide; smoking is the main risk factor for COPD, but genetic factors are also relevant contributors. Genome-wide association studies (GWAS) of the lung function measures used in the diagnosis of COPD have identified a number of loci, however association signals are often broad and collectively these loci only explain a small proportion of the heritability. In order to examine the association with COPD risk of genetic variants down to low allele frequencies, to aid fine-mapping of association signals and to explain more of the missing heritability, we undertook a targeted sequencing study in 300 COPD cases and 300 smoking controls for 26 loci previously reported to be associated with lung function. We used a pooled sequencing approach, with 12 pools of 25 individuals each, enabling high depth (30x) coverage per sample to be achieved. This pooled design maximised sample size and therefore power, but led to challenges during variant-calling since sequencing error rates and minor allele frequencies for rare variants can be very similar. For this reason we employed a rigorous quality control pipeline for variant detection which included the use of 3 independent calling algorithms. In order to avoid false positive associations we also developed tests to detect variants with potential batch effects and removed them before undertaking association testing. We tested for the effects of single variants and the combined effect of rare variants within a locus. We followed up the top signals with data available (only 67% of collapsing methods signals) in 4,249 COPD cases and 11,916 smoking controls from UK Biobank. We provide suggestive evidence for the combined effect of rare variants on COPD risk in TNXB and in sliding windows within MECOM and upstream of HHIP. These findings can lead to an improved understanding of the molecular pathways involved in the development of COPD.

Indexed as

AdultCase-Control StudiesHumansPolymorphism, Single NucleotidePulmonary Disease, Chronic ObstructiveRespiratory Function Tests

Identifiers

PMID28114305
PMCPMC5256917

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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.