Francesco Mazzarotto

ORCID: 0000-0002-6159-9980
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About
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Research Areas
  • Cardiomyopathy and Myosin Studies
  • Congenital heart defects research
  • Cardiovascular Function and Risk Factors
  • Cardiovascular Effects of Exercise
  • Genomics and Rare Diseases
  • Genetic Associations and Epidemiology
  • RNA Research and Splicing
  • Viral Infections and Immunology Research
  • Williams Syndrome Research
  • Muscle Physiology and Disorders
  • RNA and protein synthesis mechanisms
  • Cardiac electrophysiology and arrhythmias
  • Amyloidosis: Diagnosis, Treatment, Outcomes
  • Cardiac Structural Anomalies and Repair
  • Cardiovascular Issues in Pregnancy
  • Firm Innovation and Growth
  • Cellular transport and secretion
  • RNA modifications and cancer
  • Genetics, Bioinformatics, and Biomedical Research
  • Signaling Pathways in Disease
  • Genetics and Neurodevelopmental Disorders
  • Trypanosoma species research and implications
  • Peptidase Inhibition and Analysis
  • Studies on Chitinases and Chitosanases
  • Phosphodiesterase function and regulation

University of Brescia
2022-2025

Imperial College London
2016-2025

University of Florence
2017-2022

National Health Service
2015-2021

Royal Brompton & Harefield NHS Foundation Trust
2014-2021

Azienda Ospedaliero-Universitaria Careggi
2017-2021

Harefield Hospital
2020-2021

MRC London Institute of Medical Sciences
2021

National Institute for Health Research
2015-2020

NIHR Royal Brompton Cardiovascular Biomedical Research Unit
2016-2020

The accurate interpretation of variation in Mendelian disease genes has lagged behind data generation as sequencing become increasingly accessible. Ongoing large efforts present huge interpretive challenges, but they also provide an invaluable opportunity to characterize the spectrum and importance rare variation.We analyzed sequence from 7,855 clinical cardiomyopathy cases 60,706 Exome Aggregation Consortium (ExAC) reference samples obtain a better understanding genetic representative...

10.1038/gim.2016.90 article EN cc-by Genetics in Medicine 2016-08-17

The recent discovery of heterozygous human mutations that truncate full-length titin (TTN, an abundant structural, sensory, and signaling filament in muscle) as a common cause end-stage dilated cardiomyopathy (DCM) promises new prospects for improving heart failure management. However, realization this opportunity has been hindered by the burden TTN-truncating variants (TTNtv) general population uncertainty about their consequences health or disease. To elucidate effects TTNtv, we coupled...

10.1126/scitranslmed.3010134 article EN Science Translational Medicine 2015-01-14

Each of the cardiomyopathies, classically categorized as hypertrophic cardiomyopathy, dilated cardiomyopathy (DCM), and arrhythmogenic right ventricular has a signature genetic theme. Hypertrophic are largely understood diseases sarcomere or desmosome proteins, respectively. In contrast, >250 genes spanning >10 gene ontologies have been implicated in DCM, representing complex diverse architecture. To clarify this, systematic curation evidence to establish relationship with DCM was conducted.

10.1161/circulationaha.120.053033 article EN cc-by Circulation 2021-05-05

Dilated cardiomyopathy (DCM) is genetically heterogeneous, with >100 purported disease genes tested in clinical laboratories. However, many were originally identified based on candidate-gene studies that did not adequately account for background population variation. Here we define the frequency of rare variation 2538 patients DCM across protein-coding regions 56 commonly and compare this to both 912 confirmed healthy controls a reference 60 706 individuals identify clinically interpretable...

10.1161/circulationaha.119.037661 article EN cc-by Circulation 2020-01-27

International guidelines for variant interpretation in Mendelian disease set stringent criteria to report a as (likely) pathogenic, prioritising control of false-positive rate over test sensitivity and diagnostic yield. Genetic testing is also more likely informative individuals with well-characterised variants from extensively studied European-ancestry populations. Inherited cardiomyopathies are relatively common diseases that allow empirical calibration assessment this framework. We...

10.1186/s13073-019-0616-z article EN cc-by Genome Medicine 2019-01-29

Catecholaminergic polymorphic ventricular tachycardia (CPVT) and short QT syndrome (SQTS) are inherited arrhythmogenic disorders that can cause sudden death. Numerous genes have been reported to these conditions, but evidence supporting gene-disease relationships varies considerably. To ensure appropriate utilization of genetic information for CPVT SQTS patients, we applied an evidence-based reappraisal previously genes.Three teams independently curated all published 11 9 implicated using...

10.1093/eurheartj/ehab687 article EN cc-by-nc European Heart Journal 2021-09-09

BACKGROUND Hypertrophic cardiomyopathy (HCM) is caused by rare variants in sarcomere-encoding genes, but little known about the clinical significance of these general population.OBJECTIVES The goal this study was to compare lifetime outcomes and cardiovascular phenotypes according presence genes among middle-aged adults.METHODS This analyzed whole exome sequencing cardiac magnetic resonance imaging UK Biobank participants stratified variant status. RESULTSThe prevalence (allele frequency...

10.1016/j.jacc.2021.07.017 article EN cc-by Journal of the American College of Cardiology 2021-09-01

PurposeTo characterize the genetic architecture of left ventricular noncompaction (LVNC) and investigate extent to which it may represent a distinct pathology or secondary phenotype associated with other cardiac diseases.MethodsWe performed rare variant association analysis 840 LVNC cases 125,748 gnomAD population controls, compared results similar analyses on dilated cardiomyopathy (DCM) hypertrophic (HCM).ResultsWe observed substantial overlap indicating that often represents phenotypic...

10.1038/s41436-020-01049-x article EN cc-by Genetics in Medicine 2021-01-26

Abstract Background Atrial fibrillation (AF) is a common heart rhythm disorder that associated with an increased risk of stroke and failure (HF). Initially, association between AF ion channel dysfunction was identified, classifying the pathology as predominantly electrical disease. More recently it has been recognized fibrosis structural atrial remodeling play driving role in development this arrhythmia also these cases. Purpose Understanding genetic determined could be important to better...

10.1111/pace.14944 article EN Pacing and Clinical Electrophysiology 2024-02-20

Pathogenic variants in MYBPC3, encoding cardiac MyBP-C (myosin binding protein C), are the most common cause of familial hypertrophic cardiomyopathy. A large number unique MYBPC3 and relatively small genotyped cardiomyopathy cohorts have precluded detailed genotype-phenotype correlations.Patients with were identified from Sarcomeric Human Cardiomyopathy Registry. Variant types locations analyzed, morphological severity was assessed, time-event analysis performed (composite clinical outcome...

10.1161/circgen.120.002929 article EN cc-by Circulation Genomic and Precision Medicine 2020-08-25

Background: Over the last 50 years, epidemiology of hypertrophic cardiomyopathy (HCM) has changed because increased awareness and availability advanced diagnostic tools. We aim to describe temporal trends in age, sex, clinical characteristics at HCM diagnosis over >4 decades. Methods: retrospectively analyzed records from ongoing multinational Sarcomeric Human Cardiomyopathy Registry. Overall, 7286 patients with diagnosed an age ≥18 years between 1961 2019 were included analysis divided...

10.1161/circheartfailure.120.007230 article EN cc-by Circulation Heart Failure 2020-09-01

Genetic testing in hypertrophic cardiomyopathy (HCM) has long relied on Sanger sequencing of sarcomeric genes. The advent next-generation (NGS) catalyzed routine additional genes dubious HCM-causing potential. We used 19 years genetic results to define a reliable set implicated Mendelian HCM and assess the value expanded NGS panels.We dissected from 1,198 single-center probands devised widely applicable score identify which yield effective diagnostic setting.Compared with early panels...

10.1038/s41436-018-0046-0 article EN cc-by Genetics in Medicine 2018-06-06

Abstract The accurate interpretation of variation in Mendelian disease genes has lagged behind data generation as sequencing become increasingly accessible. Ongoing large efforts present huge interpretive challenges, but also provide an invaluable opportunity to characterize the spectrum and importance rare variation. Here we analyze sequence from 7,855 clinical cardiomyopathy cases 60,706 ExAC reference samples better understand genetic a representative autosomal dominant disorder. We show...

10.1101/041111 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2016-02-24

PurposeAccurate discrimination of benign and pathogenic rare variation remains a priority for clinical genome interpretation. State-of-the-art machine learning variant prioritization tools are imprecise ignore important parameters defining gene–disease relationships, e.g., distinct consequences gain-of-function versus loss-of-function variants. We hypothesized that incorporating disease-specific information would improve tool performance.MethodsWe developed classifier, CardioBoost, estimates...

10.1038/s41436-020-00972-3 article EN cc-by Genetics in Medicine 2020-10-13
Roddy Walsh Najim Lahrouchi Rafik Tadros Florence Kyndt Charlotte Glinge and 95 more Pieter G. Postema Ahmad S. Amin Eline A. Nannenberg James S. Ware Nicola Whiffin Francesco Mazzarotto Doris Škorić‐Milosavljević Christian Krijger Elena Arbelo Dominique Babuty Héctor Barajas-Martínez Britt Maria Beckmann Stéphane Bézieau J Martijn Bos Jeroen Breckpot Óscar Campuzano Silvia Castelletti Candan Celen Sebastian Clauß Anniek Corveleyn Lia Crotti Federica Dagradi Carlo de Asmundis Isabelle Denjoy Sven Dittmann Patrick T. Ellinor Cristina Gil Carla Giustetto Jean‐Baptiste Gourraud Daisuke Hazeki Minoru Horie Taisuke Ishikawa Hideki Itoh Yoshiaki Kaneko Jørgen K. Kanters Hiroki Kimoto Maria‐Christina Kotta Ingrid P.C. Krapels Masahiko Kurabayashi Julieta Lazarte Antoine Leenhardt Bart Loeys Catarina Lundin Takeru Makiyama Jacques Mansourati Raphaël P. Martins Andrea Mazzanti Stellan Mörner Carlo Napolitano Kimie Ohkubo Michael Papadakis Boris Rudic María Sabater‐Molina Frédéric Sacher Hatice Şahin Geòrgia Sarquella-Brugada Regina Sebastiano Sanjay Sharma Mary N. Sheppard Keiko Shimamoto M. Benjamin Shoemaker Birgit Stallmeyer Johannes Steinfurt Yuji Tanaka David J. Tester Keisuke Usuda Paul A. van der Zwaag Sonia Van Dooren Lut Van Laer Annika Winbo Bo Gregers Winkel Kenichiro Yamagata Sven Zumhagen Paul G.A. Volders Steven A. Lubitz Charles Antzelevitch Pyotr G. Platonov Katja E. Odening Dan M. Roden Jason D. Roberts Jonathan R. Skinner Jacob Tfelt‐Hansen Maarten P. van den Berg Morten S. Olesen Pier D. Lambiase Martin Borggrefe Kenshi Hayashi Annika Rydberg Tadashi Nakajima Masao Yoshinaga Johan Saenen Stefan Kääb Pedro Brugada Tomas Robyns Daniela Giachino

Stringent variant interpretation guidelines can lead to high rates of variants uncertain significance (VUS) for genetically heterogeneous disease like long QT syndrome (LQTS) and Brugada (BrS). Quantitative disease-specific customization American College Medical Genetics Genomics/Association Molecular Pathology (ACMG/AMP) address this false negative rate.We compared rare frequencies from 1847 LQTS (KCNQ1/KCNH2/SCN5A) 3335 BrS (SCN5A) cases the International LQTS/BrS Consortia...

10.1038/s41436-020-00946-5 article EN cc-by-nc-nd Genetics in Medicine 2020-09-07

Machine learning (ML) and artificial intelligence are emerging as important components of precision medicine that enhance diagnosis risk stratification. Risk stratification tools for hypertrophic cardiomyopathy (HCM) exist, but they based on traditional statistical methods. The aim was to develop a novel machine tool the prediction 5-year in HCM. goal determine if its predictive accuracy is higher than state-of-the-art tools. Data from total 2302 patients were used. data comprised...

10.1016/j.compbiomed.2021.104648 article EN cc-by Computers in Biology and Medicine 2021-07-12

Background: The pathogenesis of MYBPC3 -associated hypertrophic cardiomyopathy (HCM) is still unresolved. In our HCM patient cohort, a large and well-characterized population carrying the :c772G>A variant (p.Glu258Lys, E258K) provides unique opportunity to study basic mechanisms -HCM with comprehensive translational approach. Methods: We collected clinical genetic data from 93 patients variant. Functional perturbations were investigated using different biophysical techniques in left...

10.1161/circresaha.122.321956 article EN cc-by Circulation Research 2023-02-06

Abstract Background Dilated cardiomyopathy (DCM) is genetically heterogeneous, with >100 purported disease genes tested in clinical laboratories. However, many were originally identified based on candidate-gene studies that did not adequately account for background population variation. Here we define the frequency of rare variation 2538 DCM patients across protein-coding regions 56 commonly and compare this to both 912 confirmed healthy controls a reference 60,706 individuals. Purpose To...

10.1093/eurheartj/ehz745.0136 article EN European Heart Journal 2019-10-01
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