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Record W2767079004 · doi:10.1016/s2213-2600(17)30387-9

Genetic variants associated with susceptibility to idiopathic pulmonary fibrosis in people of European ancestry: a genome-wide association study

2017· article· en· W2767079004 on OpenAlexafffund
Richard J. Allen, Joanne Porte, Rebecca Braybrooke, Carlos Flores, Tasha E. Fingerlin, Justin M. Oldham, Beatriz Guillén‐Guío, Shwu‐Fan Ma, Tsukasa Okamoto, Alison E. John, Ma’en Obeidat, Ivana V. Yang, Amanda P. Henry, Richard Hubbard, Vidya Navaratnam, Gauri Saini, Norma Thompson, Helen Booth, Simon P. Hart, Mike Hill, Nik Hirani, Toby M. Maher, Robin J. McAnulty, Ann Millar, Philip L. Molyneaux, Helen Parfrey, Doris M. Rassl, Moira K. B. Whyte, William A. Fahy, Richard P. Marshall, Eunice Oballa, Yohan Bossé, David C. Nickle, Don D. Sin, Wim Timens, Nick Shrine, Ian Sayers, Ian P. Hall, Imre Noth, David A. Schwartz, Martin D. Tobin, Louise V. Wain, Gísli Jenkins

Bibliographic record

VenueThe Lancet Respiratory Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecUniversité LavalSt. Paul's HospitalUniversity of British Columbia
FundersDivision of Materials ResearchGenentechNational Institutes of HealthMedical Research Council CanadaAgencia Canaria de Investigación, Innovación y Sociedad de la InformaciónNational Institute for Health and Care ResearchApellis PharmaceuticalsGalectoWellcome TrustU.S. Department of DefenseSanofiMedical Research CouncilBiogenGlaxoSmithKlineNational Heart, Lung, and Blood InstituteAmerican Thoracic SocietyPfizerAstraZenecaEli Lilly and CompanyRegeneron Pharmaceuticals
KeywordsMedicineGenome-wide association studyIdiopathic pulmonary fibrosisGenetic associationAssociation (psychology)GeneticsGenetic genealogySingle-nucleotide polymorphismGenotypeInternal medicineEnvironmental healthGeneLungPopulationBiology

Abstract

fetched live from OpenAlex

Background Idiopathic pulmonary fibrosis (IPF) is a chronic progressive lung disease with high mortality, uncertain cause, and few treatment options. Studies have identified a significant genetic risk associated with the development of IPF; however, mechanisms by which genetic risk factors promote IPF remain unclear. We aimed to identify genetic variants associated with IPF susceptibility and provide mechanistic insight using gene and protein expression analyses. Methods We used a two-stage approach: a genome-wide association study in patients with IPF of European ancestry recruited from nine different centres in the UK and controls selected from UK Biobank (stage 1) matched for age, sex, and smoking status; and a follow-up of associated genetic variants in independent datasets of patients with IPF and controls from two independent US samples from the Chicago consortium and the Colorado consortium (stage 2). We investigated the effect of novel signals on gene expression in large transcriptomic and genomic data resources, and examined expression using lung tissue samples from patients with IPF and controls. Findings 602 patients with IPF and 3366 controls were selected for stage 1. For stage 2, 2158 patients with IPF and 5195 controls were selected. We identified a novel genome-wide significant signal of association with IPF susceptibility near A-kinase anchoring protein 13 ( AKAP13 ; rs62025270, odds ratio [OR] 1·27 [95% CI 1·18–1·37], p=1·32 × 10 −9 ) and confirmed previously reported signals, including in mucin 5B ( MUC5B ; rs35705950, OR 2·89 [2·56–3·26], p=1·12 × 10 −66 ) and desmoplakin ( DSP ; rs2076295, OR 1·44 [1·35–1·54], p=7·81 × 10 −28 ). For rs62025270, the allele A associated with increased susceptibility to IPF was also associated with increased expression of AKAP13 mRNA in lung tissue from patients who had lung resection procedures (n=1111). We showed that AKAP13 is expressed in the alveolar epithelium and lymphoid follicles from patients with IPF, and AKAP13 mRNA expression was 1·42-times higher in lung tissue from patients with IPF (n=46) than that in lung tissue from controls (n=51). Interpretation AKAP13 is a Rho guanine nucleotide exchange factor regulating activation of RhoA, which is known to be involved in profibrotic signalling pathways. The identification of AKAP13 as a susceptibility gene for IPF increases the prospect of successfully targeting RhoA pathway inhibitors in patients with IPF. Funding UK Medical Research Council, National Heart, Lung, and Blood Institute of the US National Institutes of Health, Agencia Canaria de Investigación, Innovación y Sociedad de la Información, Spain, UK National Institute for Health Research, and the British Lung Foundation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.302
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations300
Published2017
Admission routes2
Has abstractyes

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