Literature DB >> 35708014

Frequency, Penetrance, and Variable Expressivity of Dilated Cardiomyopathy-Associated Putative Pathogenic Gene Variants in UK Biobank Participants.

Ravi A Shah1, Babken Asatryan2, Ghaith Sharaf Dabbagh3,4, Nay Aung5,6, Mohammed Y Khanji5,6, Luis R Lopes7, Stefan van Duijvenboden6, Anthony Holmes8, Daniele Muser9, Andrew P Landstrom10, Aaron Mark Lee6, Pankaj Arora11, Christopher Semsarian12,13,14, Virend K Somers15, Anjali T Owens16, Patricia B Munroe6, Steffen E Petersen6, C Anwar A Chahal3,9,15.   

Abstract

BACKGROUND: There is a paucity of data regarding the phenotype of dilated cardiomyopathy (DCM) gene variants in the general population. We aimed to determine the frequency and penetrance of DCM-associated putative pathogenic gene variants in a general adult population, with a focus on the expression of clinical and subclinical phenotype, including structural, functional, and arrhythmic disease features.
METHODS: UK Biobank participants who had undergone whole exome sequencing, ECG, and cardiovascular magnetic resonance imaging were selected for study. Three variant-calling strategies (1 primary and 2 secondary) were used to identify participants with putative pathogenic variants in 44 DCM genes. The observed phenotype was graded DCM (clinical or cardiovascular magnetic resonance diagnosis); early DCM features, including arrhythmia or conduction disease, isolated ventricular dilation, and hypokinetic nondilated cardiomyopathy; or phenotype-negative.
RESULTS: Among 18 665 individuals included in the study, 1463 (7.8%) possessed ≥1 putative pathogenic variant in 44 DCM genes by the main variant calling strategy. A clinical diagnosis of DCM was present in 0.34% and early DCM features in 5.7% of individuals with putative pathogenic variants. ECG and cardiovascular magnetic resonance analysis revealed evidence of subclinical DCM in an additional 1.6% and early DCM features in an additional 15.9% of individuals with putative pathogenic variants. Arrhythmias or conduction disease (15.2%) were the most common early DCM features, followed by hypokinetic nondilated cardiomyopathy (4%). The combined clinical/subclinical penetrance was ≤30% with all 3 variant filtering strategies. Clinical DCM was slightly more prevalent among participants with putative pathogenic variants in definitive/strong evidence genes as compared with those with variants in moderate/limited evidence genes.
CONCLUSIONS: In the UK Biobank, ≈1 of 6 of adults with putative pathogenic variants in DCM genes exhibited early DCM features potentially associated with DCM genotype, most commonly manifesting with arrhythmias in the absence of substantial ventricular dilation or dysfunction.

Entities:  

Keywords:  arrhythmias, cardiac; cardiomyopathies; death, sudden, cardiac; genetic testing; genetics; penetrance

Mesh:

Year:  2022        PMID: 35708014      PMCID: PMC9375305          DOI: 10.1161/CIRCULATIONAHA.121.058143

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   39.918


  45 in total

1.  REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants.

Authors:  Nilah M Ioannidis; Joseph H Rothstein; Vikas Pejaver; Sumit Middha; Shannon K McDonnell; Saurabh Baheti; Anthony Musolf; Qing Li; Emily Holzinger; Danielle Karyadi; Lisa A Cannon-Albright; Craig C Teerlink; Janet L Stanford; William B Isaacs; Jianfeng Xu; Kathleen A Cooney; Ethan M Lange; Johanna Schleutker; John D Carpten; Isaac J Powell; Olivier Cussenot; Geraldine Cancel-Tassin; Graham G Giles; Robert J MacInnis; Christiane Maier; Chih-Lin Hsieh; Fredrik Wiklund; William J Catalona; William D Foulkes; Diptasri Mandal; Rosalind A Eeles; Zsofia Kote-Jarai; Carlos D Bustamante; Daniel J Schaid; Trevor Hastie; Elaine A Ostrander; Joan E Bailey-Wilson; Predrag Radivojac; Stephen N Thibodeau; Alice S Whittemore; Weiva Sieh
Journal:  Am J Hum Genet       Date:  2016-09-22       Impact factor: 11.025

2.  Genomics-First Evaluation of Heart Disease Associated With Titin-Truncating Variants.

Authors:  Christopher M Haggerty; Scott M Damrauer; Michael G Levin; David Birtwell; David J Carey; Alicia M Golden; Dustin N Hartzel; Yirui Hu; Renae Judy; Melissa A Kelly; Rachel L Kember; H Lester Kirchner; Joseph B Leader; Lusha Liang; Chris McDermott-Roe; Apoorva Babu; Michael Morley; Zachariah Nealy; Thomas N Person; Arichanah Pulenthiran; Aeron Small; Diane T Smelser; Richard C Stahl; Amy C Sturm; Heather Williams; Aris Baras; Kenneth B Margulies; Thomas P Cappola; Frederick E Dewey; Anurag Verma; Xinyuang Zhang; Adolfo Correa; Michael E Hall; James G Wilson; Marylyn D Ritchie; Daniel J Rader; Michael F Murray; Brandon K Fornwalt; Zoltan Arany
Journal:  Circulation       Date:  2019-06-20       Impact factor: 29.690

3.  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

4.  ACMG SF v3.0 list for reporting of secondary findings in clinical exome and genome sequencing: a policy statement of the American College of Medical Genetics and Genomics (ACMG).

Authors:  David T Miller; Kristy Lee; Wendy K Chung; Adam S Gordon; Gail E Herman; Teri E Klein; Douglas R Stewart; Laura M Amendola; Kathy Adelman; Sherri J Bale; Michael H Gollob; Steven M Harrison; Ray E Hershberger; Kent McKelvey; C Sue Richards; Christopher N Vlangos; Michael S Watson; Christa Lese Martin
Journal:  Genet Med       Date:  2021-05-20       Impact factor: 8.822

5.  Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.

Authors:  Sue Richards; Nazneen Aziz; Sherri Bale; David Bick; Soma Das; Julie Gastier-Foster; Wayne W Grody; Madhuri Hegde; Elaine Lyon; Elaine Spector; Karl Voelkerding; Heidi L Rehm
Journal:  Genet Med       Date:  2015-03-05       Impact factor: 8.822

6.  Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results.

Authors:  Avan Suinesiaputra; Mihir M Sanghvi; Nay Aung; Jose Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; Aaron M Lee; Valentina Carapella; Young Jin Kim; Jane Francis; Stefan K Piechnik; Stefan Neubauer; Andreas Greiser; Marie-Pierre Jolly; Carmel Hayes; Alistair A Young; Steffen E Petersen
Journal:  Int J Cardiovasc Imaging       Date:  2017-08-23       Impact factor: 2.357

7.  A genome-first approach to aggregating rare genetic variants in LMNA for association with electronic health record phenotypes.

Authors:  Joseph Park; Michael G Levin; Christopher M Haggerty; Dustin N Hartzel; Renae Judy; Rachel L Kember; Nosheen Reza; Marylyn D Ritchie; Anjali T Owens; Scott M Damrauer; Daniel J Rader
Journal:  Genet Med       Date:  2019-08-06       Impact factor: 8.822

8.  Frequency of Cardiac Rhythm Abnormalities in a Half Million Adults.

Authors:  Shaan Khurshid; Seung Hoan Choi; Lu-Chen Weng; Elizabeth Y Wang; Ludovic Trinquart; Emelia J Benjamin; Patrick T Ellinor; Steven A Lubitz
Journal:  Circ Arrhythm Electrophysiol       Date:  2018-07

9.  Shared Genetic Predisposition in Peripartum and Dilated Cardiomyopathies.

Authors:  James S Ware; Jian Li; Erica Mazaika; Christopher M Yasso; Tiffany DeSouza; Thomas P Cappola; Emily J Tsai; Denise Hilfiker-Kleiner; Chizuko A Kamiya; Francesco Mazzarotto; Stuart A Cook; Indrani Halder; Sanjay K Prasad; Jessica Pisarcik; Karen Hanley-Yanez; Rami Alharethi; Julie Damp; Eileen Hsich; Uri Elkayam; Richard Sheppard; Angela Kealey; Jeffrey Alexis; Gautam Ramani; Jordan Safirstein; John Boehmer; Daniel F Pauly; Ilan S Wittstein; Vinay Thohan; Mark J Zucker; Peter Liu; John Gorcsan; Dennis M McNamara; Christine E Seidman; Jonathan G Seidman; Zoltan Arany
Journal:  N Engl J Med       Date:  2016-01-06       Impact factor: 91.245

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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