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Record W2902554187 · doi:10.1016/s2213-2600(18)30409-0

Genetic determinants of risk in pulmonary arterial hypertension: international genome-wide association studies and meta-analysis

2018· review· en· W2902554187 on OpenAlexafffund
Christopher J. Rhodes, Ken Batai, Marta Bleda, Matthias Haimel, Laura Southgate, Marine Germain, Michael W. Pauciulo, Charaka Hadinnapola, Jurjan Aman, Barbara Girerd, Amit Arora, Jo Knight, Ken B. Hanscombe, Jason H. Karnes, Marika Kaakinen, Henning Gall, Anna Ulrich, Lars Harbaum, Inês Cebola, Jorge Ferrer, Katie A. Lutz, Emilia M. Swietlik, Ferhaan Ahmad, Philippe Amouyel, Stephen L. Archer, Rahul Argula, Eric D. Austin, David B. Badesch, Sahil Bakshi, Christopher F. Barnett, Raymond L. Benza, Nitin Bhatt, Harm Jan Bogaard, Charles D. Burger, Murali M. Chakinala, Colin Church, Gerry Coghlan, Robin Condliffe, Paul A. Corris, Cesare Danesino, Stéphanie Debette, C. Gregory Elliott, Jean Elwing, Mélanie Eyries, Terry Fortin, André Franke, Robert P. Frantz, Adaani Frost, Joe G. N. Garcia, Stefano Ghio, J. Simon R. Gibbs, John B. Harley, Hua He, Nicholas S. Hill, Russel Hirsch, Arjan C. Houweling, Luke Howard, D. Dunbar Ivy, David G. Kiely, James R. Klinger, Gábor Kovács, Tim Lahm, Matthias Laudes, Rajiv D. Machado, Robert V. MacKenzie Ross, Keith Marsolo, Lisa J. Martin, Shahin Moledina, David Montani, Steven D. Nathan, Michael Newnham, Andrea Olschewski, Horst Olschewski, Ronald J. Oudiz, Willem H. Ouwehand, Andrew J. Peacock, Joanna Pepke‐Żaba, Zia Ur Rehman, Ivan M. Robbins, Dan M. Roden, Erika B. Rosenzweig, Ghulam Saydain, Laura Scelsi, Robert Schilz, Werner Seeger, Christian M. Shaffer, Robert W. Simms, Marc A. Simon, Olivier Sitbon, Jay Suntharalingam, Haiyang Tang, Alexander Tchourbanov, Thenappan Thenappan, Fernando Torres, Mark Toshner, Carmen Treacy, Anton Vonk Noordegraaf, Quinten Waisfisz, Anna K. Walsworth, Robert Walter, John Wharton, R. James White, Jeffrey Wilt, Stephen J. Wort, Delphine Yung, Allan Lawrie, Marc Humbert, Florent Soubrier, David‐Alexandre Trégouët, Inga Prokopenko, Richard Kittles, Stefan Gräf, William C. Nichols, Richard C. Trembath, Ankit A. Desai, Nicholas W. Morrell, Martin R. Wilkins

Bibliographic record

VenueThe Lancet Respiratory Medicine · 2018
Typereview
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsQueen's University
FundersNational Center for Advancing Translational SciencesNational Center for Research ResourcesNational Institute of General Medical SciencesNational Human Genome Research InstituteNational Heart, Lung, and Blood InstituteNIHR Cambridge Biomedical Research CentreMedical Research CouncilNational Institutes of HealthArmagh Observatory and PlanetariumUniversité Paris-SudLaboratoire d'Excellence en Recherche sur le Médicament et l'Innovation ThérapeutiqueInstitut National de la Santé et de la Recherche MédicaleAssistance Publique - Hôpitaux de ParisZonMwHartstichtingAgence Nationale de la RechercheJanssen PharmaceuticalsMedtronicUniversity of LondonKing's College LondonBundesministerium für Bildung und ForschungBritish Heart FoundationNational Institute for Health and Care ResearchYork UniversityNational Wool MuseumBayer FundNederlandse Federatie van Universitair Medische CentraNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchActelion PharmaceuticalsVanderbilt University Medical CenterKing's College Hospital NHS Foundation TrustImperial College Healthcare NHS TrustWellcome TrustUniversity of ColoradoChiesi FarmaceuticiUtah Department of HealthGeorgia Clinical and Translational Science AllianceCincinnati Children's Hospital Medical CenterUnited Therapeutics CorporationMeso Scale DiagnosticsColumbia UniversityBayerAmerican College of Clinical Pharmacy Research InstituteGilead SciencesAcademy of Medical SciencesGuy's and St Thomas' NHS Foundation TrustNational Science FoundationCalifornia Department of Fish and GameDeutsche ForschungsgemeinschaftRocheImperial College LondonGlaxoSmithKlineNational Institute on Handicapped ResearchAmerican Heart AssociationEli Lilly and CompanyUniversity of CincinnatiAstraZenecaPfizerBoehringer IngelheimNovartisU.S. Food and Drug AdministrationNew York UniversityU.S. Department of Veterans Affairs
KeywordsMedicineMeta-analysisGenome-wide association studyPulmonary hypertensionGenetic associationInternal medicineMEDLINEAssociation (psychology)CardiologyEnvironmental healthGeneticsGeneSingle-nucleotide polymorphismGenotype

Abstract

fetched live from OpenAlex

BACKGROUND: Rare genetic variants cause pulmonary arterial hypertension, but the contribution of common genetic variation to disease risk and natural history is poorly characterised. We tested for genome-wide association for pulmonary arterial hypertension in large international cohorts and assessed the contribution of associated regions to outcomes. METHODS: We did two separate genome-wide association studies (GWAS) and a meta-analysis of pulmonary arterial hypertension. These GWAS used data from four international case-control studies across 11 744 individuals with European ancestry (including 2085 patients). One GWAS used genotypes from 5895 whole-genome sequences and the other GWAS used genotyping array data from an additional 5849 individuals. Cross-validation of loci reaching genome-wide significance was sought by meta-analysis. Conditional analysis corrected for the most significant variants at each locus was used to resolve signals for multiple associations. We functionally annotated associated variants and tested associations with duration of survival. All-cause mortality was the primary endpoint in survival analyses. FINDINGS: ; and rs10103692). Functional and epigenomic data indicate that the risk variants near SOX17 alter gene regulation via an enhancer active in endothelial cells. Pulmonary arterial hypertension risk variants determined haplotype-specific enhancer activity, and CRISPR-mediated inhibition of the enhancer reduced SOX17 expression. The HLA-DPA1/DPB1 rs2856830 genotype was strongly associated with survival. Median survival from diagnosis in patients with pulmonary arterial hypertension with the C/C homozygous genotype was double (13·50 years [95% CI 12·07 to >13·50]) that of those with the T/T genotype (6·97 years [6·02-8·05]), despite similar baseline disease severity. INTERPRETATION: This is the first study to report that common genetic variation at loci in an enhancer near SOX17 and in HLA-DPA1/DPB1 is associated with pulmonary arterial hypertension. Impairment of SOX17 function might be more common in pulmonary arterial hypertension than suggested by rare mutations in SOX17. Further studies are needed to confirm the association between HLA typing or rs2856830 genotyping and survival, and to determine whether HLA typing or rs2856830 genotyping improves risk stratification in clinical practice or trials. FUNDING: UK NIHR, BHF, UK MRC, Dinosaur Trust, NIH/NHLBI, ERS, EMBO, Wellcome Trust, EU, AHA, ACClinPharm, Netherlands CVRI, Dutch Heart Foundation, Dutch Federation of UMC, Netherlands OHRD and RNAS, German DFG, German BMBF, APH Paris, INSERM, Université Paris-Sud, and French ANR.

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)0.016
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.018
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0070.034
Bibliometrics0.0050.011
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.241
GPT teacher head0.415
Teacher spread0.174 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations213
Published2018
Admission routes2
Has abstractyes

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