Evidence map›Paper›PMID 27473260›Full record

ArticleRespiratory research2016

Genes associated with polymorphic variants predicting lung function are differentially expressed during human lung development.

S Miller, E Melén, S K Merid, I P Hall, I Sayers

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Long isoforms of the COPD risk gene FAM13A orchestrate human lung epithelial development.American journal of respiratory cell and molecular biology · 2026
    Article
  2. Review
  3. Article
  4. Breathing new life into the study of COPD with genes identified from genome-wide association studies.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Lung Development Genes and Adult Lung Function.American journal of respiratory and critical care medicine · 2020
    Article
  9. Lung functional development and asthma trajectories.Seminars in immunopathology · 2020
    Review
  10. Article
  11. Review
  12. Review
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

5 authors at 2 institutions in 2 countries.

S MillerDivision of Respiratory Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, NG7 2UH, UK. suzanne.miller@nottingham.ac.uk.ORCID 0000-0001-8508-1871
E MelénInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
S K MeridInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
I P HallDivision of Respiratory Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, NG7 2UH, UK.
I SayersDivision of Respiratory Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, NG7 2UH, UK.
University of Nottingham · GBKarolinska Institutet · SE

Funding

Medical Research Council G0700089Medical Research Council G1000861Medical Research Council MC_PC_12010Medical Research Council MC_PC_15004Wellcome TrustWellcome Trust 099175/Z/12/Z
6 · The paper itself

Abstract

backgroundRecent meta-analyses of genome-wide association studies have identified single nucleotide polymorphisms (SNPs) within/near 54 genes associated with lung function measures. Current understanding of the contribution of these genes to human lung development is limited. We set out to further define i) the expression profile of these genes during human lung development using a unique set of resources to examine both mRNA and protein expression and ii) the link between key polymorphisms and genes using expression quantitative trait loci (eQTL) approaches.

methodsThe mRNA expression profile of lung function associated genes across pseudoglandular and canalicular stages of lung development were determined using expression array data of 38 human fetal lungs. eQTLs were investigated for selected genes using blood cell and lung tissue data. Immunohistochemistry of the top 5 candidates was performed in a panel of 24 fetal lung samples.

resultsTwenty-nine lung function associated genes were differentially expressed during lung development at the mRNA level. The greatest magnitude of effect was observed for 5 genes; TMEM163, FAM13A and HHIP which had increasing expression and CDC123 and PTCH1 with decreased expression across developmental stages. Focussed eQTL analyses investigating SNPs in these five loci identified several cis-eQTL's. Protein expression of TMEM163 increased and CDC123 decreased with fetal lung age in agreement with mRNA data. Protein expression in FAM13A, HHIP and PTCH1 remained relatively constant throughout lung development.

conclusionsWe have identified that > 50 % of lung function associated genes show evidence of differential expression during lung development and we show that in particular TMEM163 and CDC123 are differentially expressed at both the mRNA and protein levels. Our data provides a systematic evaluation of lung function associated genes in this context and offers some insight into the potential role of several of these genes in contributing to human lung development.

Indexed as

Gene Expression Regulation, DevelopmentalPolymorphism, Single NucleotideTranscriptomeCarrier ProteinsCell Cycle ProteinsDatabases, FactualGene Expression ProfilingGenotypeGestational AgeGTPase-Activating ProteinsHumansImmunohistochemistryLungMembrane GlycoproteinsMembrane ProteinsOligonucleotide Array Sequence AnalysisCarrier ProteinsCDC123 protein, humanCell Cycle ProteinsFAM13A protein, humanGTPase-Activating ProteinsHHIP protein, humanMembrane GlycoproteinsMembrane ProteinsPatched-1 ReceptorPTCH1 protein, humanRNA, MessengerTMEM163 protein, humanCDC123DevelopmentExpressionGeneticsLung functionTMEM163

Identifiers

PMID27473260
PMCPMC4966770
OpenAlexW2490330119

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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.