Literature DB >> 35278270

Genetic and phenotypic profiling of supranormal ejection fraction reveals decreased survival and underdiagnosed heart failure.

Iain S Forrest1,2,3,4, Ghislain Rocheleau1,4, Shantanu Bafna1,4, Edgar Argulian5, Jagat Narula5, Pradeep Natarajan6,7, Ron Do1,3,4.   

Abstract

AIMS: Individuals with supranormal left ventricular ejection fraction (snLVEF; LVEF >70%) have increased mortality. However, the genetic and phenotypic profile of snLVEF remains unknown. This study aimed to determine the relationship of both snLVEF genetic risk and phenotype with survival and underdiagnosed heart failure (HF). METHODS AND
RESULTS: A snLVEF genetic risk score (GRS) was applied and cases of snLVEF were identified in 486 754 individuals across two population-based cohorts (BioMe Biobank and UK Biobank). The snLVEF GRS and phenotype were evaluated for association with survival, as well as HF diagnosis, markers, symptoms, and medications. Of 486 754 participants, the median age was 58 years, 20 069 (4.1%) died, and 10 088 (2.1%) had diagnosed HF. Both snLVEF GRS (hazard ratio [HR] 1.1 for top 10% vs. bottom 10% GRS; p = 0.002) and phenotype (HR 1.4; p = 0.003) were associated with increased all-cause mortality. Both snLVEF GRS and phenotype were associated with reduced HF diagnosis (odds ratio [OR] 0.97 and OR 0.63, respectively; both p ≤0.002). However, the snLVEF GRS and phenotype were both associated with elevated brain natriuretic peptide (BNP) levels (146 and 185 pg/ml increase, respectively; p <0.001), including 268 out of 455 (59%) individuals with snLVEF phenotype who had BNP >100 pg/ml. Among 476 666 participants without HF diagnoses, snLVEF GRS and phenotype were associated with increased HF symptoms (e.g. exertional dyspnoea OR 1.4 and OR 1.3; p <0.003) and HF medications (e.g. loop diuretic OR 1.2 and OR 1.03; p <0.02). Associations were consistent in hypertensive individuals without cardiac comorbidities.
CONCLUSIONS: Genetic predisposition to and presence of snLVEF are associated with decreased survival and underdiagnosed HF.
© 2022 European Society of Cardiology.

Entities:  

Keywords:  Biobank; Electronic health record; Genetic risk score; Heart failure; Supranormal ejection fraction; Underdiagnosis

Year:  2022        PMID: 35278270      PMCID: PMC9464795          DOI: 10.1002/ejhf.2482

Source DB:  PubMed          Journal:  Eur J Heart Fail        ISSN: 1388-9842            Impact factor:   17.349


  29 in total

1.  Methods of defining hypertension in electronic medical records: validation against national survey data.

Authors:  Mingkai Peng; Guanmin Chen; Gilaad G Kaplan; Lisa M Lix; Neil Drummond; Kelsey Lucyk; Stephanie Garies; Mark Lowerison; Samuel Weibe; Hude Quan
Journal:  J Public Health (Oxf)       Date:  2015-11-06       Impact factor: 2.341

2.  Assessment of left ventricular function with magnetic resonance imaging vs. echocardiography, contrast echocardiography, and single-photon emission computed tomography in patients with recent ST-elevation myocardial infarction.

Authors:  Nisha Mistry; Sigrun Halvorsen; Pavel Hoffmann; Carl Müller; Ellen Bøhmer; Sverre E Kjeldsen; Reidar Bjørnerheim
Journal:  Eur J Echocardiogr       Date:  2010-06-05

3.  A genome-wide association study identifies two loci associated with heart failure due to dilated cardiomyopathy.

Authors:  Eric Villard; Claire Perret; Françoise Gary; Carole Proust; Gilles Dilanian; Christian Hengstenberg; Volker Ruppert; Eloisa Arbustini; Thomas Wichter; Marine Germain; Olivier Dubourg; Luigi Tavazzi; Marie-Claude Aumont; Pascal DeGroote; Laurent Fauchier; Jean-Noël Trochu; Pierre Gibelin; Jean-François Aupetit; Klaus Stark; Jeanette Erdmann; Roland Hetzer; Angharad M Roberts; Paul J R Barton; Vera Regitz-Zagrosek; Uzma Aslam; Laëtitia Duboscq-Bidot; Matthias Meyborg; Bernhard Maisch; Hugo Madeira; Anders Waldenström; Enrique Galve; John G Cleland; Richard Dorent; Gerard Roizes; Tanja Zeller; Stefan Blankenberg; Alison H Goodall; Stuart Cook; David A Tregouet; Laurence Tiret; Richard Isnard; Michel Komajda; Philippe Charron; François Cambien
Journal:  Eur Heart J       Date:  2011-04-01       Impact factor: 29.983

Review 4.  The role and clinical implications of diastolic dysfunction in aortic stenosis.

Authors:  Polydoros N Kampaktsis; Damianos G Kokkinidis; Shing-Chiu Wong; Manolis Vavuranakis; Nikolaos J Skubas; Richard B Devereux
Journal:  Heart       Date:  2017-07-06       Impact factor: 5.994

5.  Wild-type transthyretin amyloidosis as a cause of heart failure with preserved ejection fraction.

Authors:  Esther González-López; Maria Gallego-Delgado; Gonzalo Guzzo-Merello; F Javier de Haro-Del Moral; Marta Cobo-Marcos; Carolina Robles; Belén Bornstein; Clara Salas; Enrique Lara-Pezzi; Luis Alonso-Pulpon; Pablo Garcia-Pavia
Journal:  Eur Heart J       Date:  2015-07-28       Impact factor: 29.983

6.  Phenotypic Refinement of Heart Failure in a National Biobank Facilitates Genetic Discovery.

Authors:  Krishna G Aragam; Mark Chaffin; Rebecca T Levinson; Gregory McDermott; Seung-Hoan Choi; M Benjamin Shoemaker; Mary E Haas; Lu-Chen Weng; Mark E Lindsay; J Gustav Smith; Christopher Newton-Cheh; Dan M Roden; Barry London; Quinn S Wells; Patrick T Ellinor; Sekar Kathiresan; Steven A Lubitz
Journal:  Circulation       Date:  2018-11-11       Impact factor: 29.690

Review 7.  Mendelian Randomization: Concepts and Scope.

Authors:  Rebecca C Richmond; George Davey Smith
Journal:  Cold Spring Harb Perspect Med       Date:  2022-01-04       Impact factor: 6.915

8.  Genome-wide polygenic risk score for retinopathy of type 2 diabetes.

Authors:  Iain S Forrest; Kumardeep Chaudhary; Ishan Paranjpe; Ha My T Vy; Carla Marquez-Luna; Ghislain Rocheleau; Aparna Saha; Lili Chan; Tielman Van Vleck; Ruth J F Loos; Judy Cho; Louis R Pasquale; Girish N Nadkarni; Ron Do
Journal:  Hum Mol Genet       Date:  2021-05-29       Impact factor: 5.121

9.  Second-generation PLINK: rising to the challenge of larger and richer datasets.

Authors:  Christopher C Chang; Carson C Chow; Laurent Cam Tellier; Shashaank Vattikuti; Shaun M Purcell; James J Lee
Journal:  Gigascience       Date:  2015-02-25       Impact factor: 6.524

10.  Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy.

Authors:  James P Pirruccello; Alexander Bick; Minxian Wang; Mark Chaffin; Samuel Friedman; Jie Yao; Xiuqing Guo; Bharath Ambale Venkatesh; Kent D Taylor; Wendy S Post; Stephen Rich; Joao A C Lima; Jerome I Rotter; Anthony Philippakis; Steven A Lubitz; Patrick T Ellinor; Amit V Khera; Sekar Kathiresan; Krishna G Aragam
Journal:  Nat Commun       Date:  2020-05-07       Impact factor: 17.694

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