Literature DB >> 35544052

Association of Pathogenic DNA Variants Predisposing to Cardiomyopathy With Cardiovascular Disease Outcomes and All-Cause Mortality.

Aniruddh P Patel1,2,3,4,5, Jacqueline S Dron2,3, Minxian Wang6, James P Pirruccello1,2,3,4,5, Kenney Ng7, Pradeep Natarajan1,2,3,4,5, Matthew Lebo8,9,10, Patrick T Ellinor1,2,3,4,5, Krishna G Aragam1,2,3,4,5, Amit V Khera1,2,3,4,11.   

Abstract

Importance: Pathogenic variants associated with inherited cardiomyopathy are recognized as important and clinically actionable when identified, leading some clinicians to recommend population-wide genomic screening. Objective: To determine the prevalence and clinical importance of pathogenic variants associated with inherited cardiomyopathy within the context of contemporary clinical care. Design, Setting, and Participants: This was a genetic association study of participants in Atherosclerosis in Risk Communities (ARIC), recruited from 1987 to 1989, with median follow-up of 27 years, and the UK Biobank, recruited from 2006 to 2010, with median follow-up of 10 years. ARIC participants were recruited from 4 sites across the US. UK Biobank participants were recruited from 22 sites across the UK. Participants in the US were of African and European ancestry; those in the UK were of African, East Asian, South Asian, and European ancestry. Statistical analyses were performed between August 1, 2021, and February 9, 2022. Exposures: Rare genetic variants predisposing to inherited cardiomyopathy. Main Outcomes and Measures: Pathogenicity of observed DNA sequence variants in sequenced exomes of 13 genes (ACTC1, FLNC, GLA, LMNA, MYBPC3, MYH7, MYL2, MYL3, PRKAG2, TNNI3, TNNT2, TPM1, and TTN) associated with inherited cardiomyopathies were classified by a blinded clinical geneticist per American College of Medical Genetics recommendations. Incidence of all-cause mortality, heart failure, and atrial fibrillation were determined. Cardiac magnetic resonance imaging, echocardiography, and electrocardiogram measures were assessed in a subset of participants.
Results: A total of 9667 ARIC participants (mean [SD] age, 54.0 [5.7] years; 4232 women [43.8%]; 2658 African [27.5%] and 7009 European [72.5%] ancestry) and 49 744 UK Biobank participants (mean [SD] age, 57.1 [8.0] years; 27 142 women [54.5%]; 1006 African [2.0%], 173 East Asian [0.3%], 939 South Asian [1.9%], and 46 449 European [93.4%] European ancestry) were included in the study. Of those, 59 participants (0.61%) in ARIC and 364 participants (0.73%) in UK Biobank harbored an actionable pathogenic or likely pathogenic variant associated with dilated or hypertrophic cardiomyopathy. Carriers of these variants were not reliably identifiable by imaging. However, the presence of these variants was associated with increased risk of heart failure (hazard ratio [HR], 1.7; 95% CI, 1.1-2.8), atrial fibrillation (HR, 2.9; 95% CI, 1.9-4.5), and all-cause mortality (HR, 1.5; 95% CI, 1.1-2.2) in ARIC. Similar risk patterns were observed in the UK Biobank. Conclusions and Relevance: Results of this genetic association study suggest that approximately 0.7% of study participants harbored a pathogenic variant associated with inherited cardiomyopathy. These variant carriers would be challenging to identify within clinical practice without genetic testing but are at increased risk for cardiovascular disease and all-cause mortality.

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Year:  2022        PMID: 35544052      PMCID: PMC9096692          DOI: 10.1001/jamacardio.2022.0901

Source DB:  PubMed          Journal:  JAMA Cardiol            Impact factor:   30.154


  47 in total

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Authors:  Clyde W Yancy; Mariell Jessup; Biykem Bozkurt; Javed Butler; Donald E Casey; Monica M Colvin; Mark H Drazner; Gerasimos S Filippatos; Gregg C Fonarow; Michael M Givertz; Steven M Hollenberg; JoAnn Lindenfeld; Frederick A Masoudi; Patrick E McBride; Pamela N Peterson; Lynne Warner Stevenson; Cheryl Westlake
Journal:  Circulation       Date:  2017-04-28       Impact factor: 29.690

2.  Increased alpha2 subunit-associated AMPK activity and PRKAG2 cardiomyopathy.

Authors:  Ferhaan Ahmad; Michael Arad; Nicolas Musi; Huamei He; Cordula Wolf; Dorothy Branco; Antonio R Perez-Atayde; David Stapleton; Deeksha Bali; Yanqiu Xing; Rong Tian; Laurie J Goodyear; Charles I Berul; Joanne S Ingwall; Christine E Seidman; J G Seidman
Journal:  Circulation       Date:  2005-11-07       Impact factor: 29.690

3.  Diltiazem treatment for pre-clinical hypertrophic cardiomyopathy sarcomere mutation carriers: a pilot randomized trial to modify disease expression.

Authors:  Carolyn Y Ho; Neal K Lakdawala; Allison L Cirino; Steven E Lipshultz; Elizabeth Sparks; Siddique A Abbasi; Raymond Y Kwong; Elliott M Antman; Christopher Semsarian; Arantxa González; Begoña López; Javier Diez; E John Orav; Steven D Colan; Christine E Seidman
Journal:  JACC Heart Fail       Date:  2014-10-31       Impact factor: 12.035

4.  Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects.

Authors:  Allison A Regier; Yossi Farjoun; David E Larson; Olga Krasheninina; Hyun Min Kang; Daniel P Howrigan; Bo-Juen Chen; Manisha Kher; Eric Banks; Darren C Ames; Adam C English; Heng Li; Jinchuan Xing; Yeting Zhang; Tara Matise; Goncalo R Abecasis; Will Salerno; Michael C Zody; Benjamin M Neale; Ira M Hall
Journal:  Nat Commun       Date:  2018-10-02       Impact factor: 14.919

5.  Genetic evaluation of cardiomyopathy: a clinical practice resource of the American College of Medical Genetics and Genomics (ACMG).

Authors:  Ray E Hershberger; Michael M Givertz; Carolyn Y Ho; Daniel P Judge; Paul F Kantor; Kim L McBride; Ana Morales; Matthew R G Taylor; Matteo Vatta; Stephanie M Ware
Journal:  Genet Med       Date:  2018-06-14       Impact factor: 8.822

6.  ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing.

Authors:  Robert C Green; Jonathan S Berg; Wayne W Grody; Sarah S Kalia; Bruce R Korf; Christa L Martin; Amy L McGuire; Robert L Nussbaum; Julianne M O'Daniel; Kelly E Ormond; Heidi L Rehm; Michael S Watson; Marc S Williams; Leslie G Biesecker
Journal:  Genet Med       Date:  2013-06-20       Impact factor: 8.822

7.  The UK Biobank resource with deep phenotyping and genomic data.

Authors:  Clare Bycroft; Colin Freeman; Desislava Petkova; Gavin Band; Lloyd T Elliott; Kevin Sharp; Allan Motyer; Damjan Vukcevic; Olivier Delaneau; Jared O'Connell; Adrian Cortes; Samantha Welsh; Alan Young; Mark Effingham; Gil McVean; Stephen Leslie; Naomi Allen; Peter Donnelly; Jonathan Marchini
Journal:  Nature       Date:  2018-10-10       Impact factor: 49.962

8.  Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery.

Authors:  Geoffrey H Tison; Jeffrey Zhang; Francesca N Delling; Rahul C Deo
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2019-09-05

9.  The mutational constraint spectrum quantified from variation in 141,456 humans.

Authors:  Konrad J Karczewski; Laurent C Francioli; Grace Tiao; Beryl B Cummings; Jessica Alföldi; Qingbo Wang; Ryan L Collins; Kristen M Laricchia; Andrea Ganna; Daniel P Birnbaum; Laura D Gauthier; Harrison Brand; Matthew Solomonson; Nicholas A Watts; Daniel Rhodes; Moriel Singer-Berk; Eleina M England; Eleanor G Seaby; Jack A Kosmicki; Raymond K Walters; Katherine Tashman; Yossi Farjoun; Eric Banks; Timothy Poterba; Arcturus Wang; Cotton Seed; Nicola Whiffin; Jessica X Chong; Kaitlin E Samocha; Emma Pierce-Hoffman; Zachary Zappala; Anne H O'Donnell-Luria; Eric Vallabh Minikel; Ben Weisburd; Monkol Lek; James S Ware; Christopher Vittal; Irina M Armean; Louis Bergelson; Kristian Cibulskis; Kristen M Connolly; Miguel Covarrubias; Stacey Donnelly; Steven Ferriera; Stacey Gabriel; Jeff Gentry; Namrata Gupta; Thibault Jeandet; Diane Kaplan; Christopher Llanwarne; Ruchi Munshi; Sam Novod; Nikelle Petrillo; David Roazen; Valentin Ruano-Rubio; Andrea Saltzman; Molly Schleicher; Jose Soto; Kathleen Tibbetts; Charlotte Tolonen; Gordon Wade; Michael E Talkowski; Benjamin M Neale; Mark J Daly; Daniel G MacArthur
Journal:  Nature       Date:  2020-05-27       Impact factor: 69.504

10.  Exome sequencing and characterization of 49,960 individuals in the UK Biobank.

Authors:  Cristopher V Van Hout; Ioanna Tachmazidou; Joshua D Backman; Joshua D Hoffman; Daren Liu; Ashutosh K Pandey; Claudia Gonzaga-Jauregui; Shareef Khalid; Bin Ye; Nilanjana Banerjee; Alexander H Li; Colm O'Dushlaine; Anthony Marcketta; Jeffrey Staples; Claudia Schurmann; Alicia Hawes; Evan Maxwell; Leland Barnard; Alexander Lopez; John Penn; Lukas Habegger; Andrew L Blumenfeld; Xiaodong Bai; Sean O'Keeffe; Ashish Yadav; Kavita Praveen; Marcus Jones; William J Salerno; Wendy K Chung; Ida Surakka; Cristen J Willer; Kristian Hveem; Joseph B Leader; David J Carey; David H Ledbetter; Lon Cardon; George D Yancopoulos; Aris Economides; Giovanni Coppola; Alan R Shuldiner; Suganthi Balasubramanian; Michael Cantor; Matthew R Nelson; John Whittaker; Jeffrey G Reid; Jonathan Marchini; John D Overton; Robert A Scott; Gonçalo R Abecasis; Laura Yerges-Armstrong; Aris Baras
Journal:  Nature       Date:  2020-10-21       Impact factor: 69.504

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