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Dive into the research topics where Ivan Macciocca is active.

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Featured researches published by Ivan Macciocca.


The Lancet | 2005

Use of community genetic screening to prevent HFE-associated hereditary haemochromatosis

Martin B. Delatycki; Katrina J. Allen; Amy Nisselle; Veronica Collins; Sylvia A. Metcalfe; D du Sart; Jane Halliday; MaryAnne Aitken; Ivan Macciocca; V Hill; A Wakefield; A Ritchie; Aa Gason; Amanda Nicoll; Lawrie W. Powell; Robert Williamson

HFE-associated hereditary haemochromatosis is a recessive, iron-overload disorder that affects about one in 200 north Europeans and that can be easily prevented. However, genetic screening for this disease is controversial, and so we assessed whether such screening was suitable for communities. Cheek-brush screening for the Cys282Tyr HFE mutation was offered to individuals in the workplace. Outcomes were assessed by questionnaires before and after testing. 11,307 individuals were screened. We recorded no increase in anxiety in individuals who were homozygous for the Cys282Tyr mutation or non-homozygous. Self-reported tiredness before testing was significantly higher in homozygous participants than in non-homozygous participants (chi2 test, p=0.029). Of the 47 homozygous individuals identified, 46 have taken steps to treat or prevent iron accumulation. Population genetic screening for HFE-associated hereditary haemochromatosis can be practicable and acceptable.


Genetics in Medicine | 2016

A prospective evaluation of whole-exome sequencing as a first-tier molecular test in infants with suspected monogenic disorders.

Zornitza Stark; Tiong Yang Tan; Belinda Chong; Gemma R. Brett; Patrick Yap; Maie Walsh; Alison Yeung; Heidi Peters; Dylan Mordaunt; Shannon Cowie; David J. Amor; Ravi Savarirayan; George McGillivray; Lilian Downie; Paul G. Ekert; Christiane Theda; Paul A. James; Joy Yaplito-Lee; Monique M. Ryan; Richard J. Leventer; Emma Creed; Ivan Macciocca; Katrina M. Bell; Alicia Oshlack; Simon Sadedin; Peter Georgeson; Charlotte Anderson; Natalie P. Thorne; Clara Gaff; Susan M. White

Purpose:To prospectively evaluate the diagnostic and clinical utility of singleton whole-exome sequencing (WES) as a first-tier test in infants with suspected monogenic disease.Methods:Singleton WES was performed as a first-tier sequencing test in infants recruited from a single pediatric tertiary center. This occurred in parallel with standard investigations, including single- or multigene panel sequencing when clinically indicated. The diagnosis rate, clinical utility, and impact on management of singleton WES were evaluated.Results:Of 80 enrolled infants, 46 received a molecular genetic diagnosis through singleton WES (57.5%) compared with 11 (13.75%) who underwent standard investigations in the same patient group. Clinical management changed following exome diagnosis in 15 of 46 diagnosed participants (32.6%). Twelve relatives received a genetic diagnosis following cascade testing, and 28 couples were identified as being at high risk of recurrence in future pregnancies.Conclusions:This prospective study provides strong evidence for increased diagnostic and clinical utility of singleton WES as a first-tier sequencing test for infants with a suspected monogenic disorder. Singleton WES outperformed standard care in terms of diagnosis rate and the benefits of a diagnosis, namely, impact on management of the child and clarification of reproductive risks for the extended family in a timely manner.Genet Med 18 11, 1090–1096.


Genetics in Medicine | 2013

Clinical predictors of genetic testing outcomes in hypertrophic cardiomyopathy

Jodie Ingles; Tanya Sarina; Laura Yeates; L. Hunt; Ivan Macciocca; Louise McCormack; Ingrid Winship; Julie McGaughran; John Atherton; Christopher Semsarian

Purpose:Genetic testing for hypertrophic cardiomyopathy has been commercially available for almost a decade; however, low mutation detection rate and cost have hindered uptake. This study sought to identify clinical variables that can predict probands with hypertrophic cardiomyopathy in whom a pathogenic mutation will be identified.Methods:Probands attending specialized cardiac genetic clinics across Australia over a 10-year period (2002–2011), who met clinical diagnostic criteria for hypertrophic cardiomyopathy and who underwent genetic testing for hypertrophic cardiomyopathy were included. Clinical, family history, and genotype information were collected.Results:A total of 265 unrelated individuals with hypertrophic cardiomyopathy were included, with 138 (52%) having at least one mutation identified. The mutation detection rate was significantly higher in the probands with hypertrophic cardiomyopathy with an established family history of disease (72 vs. 29%, P < 0.0001), and a positive family history of sudden cardiac death further increased the detection rate (89 vs. 59%, P < 0.0001). Multivariate analysis identified female gender, increased left-ventricular wall thickness, family history of hypertrophic cardiomyopathy, and family history of sudden cardiac death as being associated with greatest chance of identifying a gene mutation. Multiple mutation carriers (n = 16, 6%) were more likely to have suffered an out-of-hospital cardiac arrest or sudden cardiac death (31 vs. 7%, P = 0.012).Conclusion:Family history is a key clinical predictor of a positive genetic diagnosis and has direct clinical relevance, particularly in the pretest genetic counseling setting.Genet Med 15 12, 972–977.Genetics in Medicine (2013); 15 12, 972–977. doi:10.1038/gim.2013.44


European Journal of Echocardiography | 2014

A comprehensive evaluation of myocardial fibrosis in hypertrophic cardiomyopathy with cardiac magnetic resonance imaging: linking genotype with fibrotic phenotype

Andris H. Ellims; Leah M. Iles; L. Ling; Belinda Chong; Ivan Macciocca; Glenn S. Slavin; James L. Hare; David M. Kaye; Silvana Marasco; Catriona McLean; Paul A. James; Desirée du Sart; Andrew J. Taylor

AIMS In hypertrophic cardiomyopathy (HCM), attempts to associate genotype with phenotype have largely been unsuccessful. More recently, cardiac magnetic resonance (CMR) imaging has enhanced myocardial fibrosis characterization, while next-generation sequencing (NGS) can identify pathogenic HCM mutations. We used CMR and NGS to explore the link between genotype and fibrotic phenotype in HCM. METHODS AND RESULTS One hundred and thirty-nine patients with HCM and 25 healthy controls underwent CMR to quantify regional myocardial fibrosis with late gadolinium enhancement (LGE) and diffuse myocardial fibrosis with post-contrast T1 mapping. Collagen content of myectomy specimens from nine HCM patients was determined. Fifty-six HCM patients underwent NGS for 65 cardiomyopathy genes, including 36 HCM-associated genes. Post-contrast myocardial T1 time correlated histologically with myocardial collagen content (r = -0.70, P = 0.03). Compared with controls, HCM patients had more LGE (4.6 ± 6.1 vs. 0%, P < 0.001) and lower post-contrast T1 time (483 ± 83 vs. 545 ± 49 ms, P < 0.001). LGE negatively correlated with left-ventricular (LV) ejection fraction and outflow tract obstruction, whereas lower post-contrast T1 time, suggestive of more diffuse myocardial fibrosis, was associated with LV diastolic impairment and dyspnoea. Patients with identifiable HCM mutations had more LGE (7.9 ± 8.6 vs. 3.1 ± 4.3%, P = 0.03), but higher post-contrast T1 time (498 ± 81 vs. 451 ± 70 ms, P = 0.03) than patients without. CONCLUSION In HCM, contrast-enhanced CMR with T1 mapping can non-invasively evaluate regional and diffuse patterns of myocardial fibrosis. These patterns of fibrosis occur independently of each other and exhibit distinct clinical associations. HCM patients with recognized genetic mutations have significantly more regional, but less diffuse myocardial fibrosis than those without.


Heart Lung and Circulation | 2011

Guidelines for Genetic Testing of Inherited Cardiac Disorders

Jodie Ingles; Poonam Zodgekar; Laura Yeates; Ivan Macciocca; Christopher Semsarian; Diane Fatkin

Inherited gene variants have been implicated increasingly in cardiac disorders but the clinical impact of these discoveries has been variable. For some disorders, such as familial hypertrophic cardiomyopathy, long QT syndrome, and familial hypercholesterolaemia, genetic testing has a high yield and has become an integral part of family management. For other disorders, including dilated cardiomyopathy, arrhythmogenic right ventricular cardiomyopathy, Brugada syndrome, catecholaminergic polymorphic ventricular tachycardia, and atrial fibrillation, relatively less is known about the genes involved and genetic testing has a lower yield. Recent advances in sequencing and array-based technologies promise to change the landscape of our understanding of the genetic basis of human disease and will dramatically increase the rate of detection of genomic variants. Since every individual is expected to harbour thousands of variants, many of which may be novel, interpretation of the functional significance of any single variant is critical, and should be undertaken by experienced personnel. Genotype results can have a wide range of medical and psychosocial implications for affected and unaffected individuals and hence, genetic testing should be performed in a specialised cardiac genetic clinic or clinical genetics service where appropriate family management and genetic counselling can be offered.


Genetics in Medicine | 2017

Prospective comparison of the cost-effectiveness of clinical whole-exome sequencing with that of usual care overwhelmingly supports early use and reimbursement

Zornitza Stark; Deborah Schofield; Khurshid Alam; William Wilson; Nessie Mupfeki; Ivan Macciocca; Rupendra Shrestha; Susan M. White; Clara Gaff

Purpose:To undertake the first prospective cost-effectiveness study of whole-exome sequencing (WES) as an early, routine clinical test for infants with suspected monogenic disorders.Methods:Cost data for diagnosis-related investigations and assessments were collected for a prospective, sequential clinical cohort of infants (N = 40) who underwent singleton WES in parallel to usual diagnostic care. We determined costs per patient, costs per diagnosis, and incremental costs per additional diagnosis for three alternative strategies for integrating WES into the diagnostic trajectory. We performed a sensitivity analysis to examine the robustness of estimates and bootstrapping (500 replications) to examine their distributions.Results:Standard care achieved an average cost per diagnosis of AU


Pacing and Clinical Electrophysiology | 2012

Adolescents with implantable cardioverter defibrillators: a patient and parent perspective.

Belinda Rahman; Ivan Macciocca; Margaret Sahhar; Suleman Kamberi; Vanessa Connell; Rony E. Duncan

27,050 (US


JAMA Pediatrics | 2017

Diagnostic Impact and Cost-effectiveness of Whole-Exome Sequencing for Ambulant Children With Suspected Monogenic Conditions

Tiong Yang Tan; Oliver James Dillon; Zornitza Stark; Deborah Schofield; Khurshid Alam; Rupendra Shrestha; Belinda Chong; Dean Phelan; Gemma R. Brett; Emma Creed; Anna Jarmolowicz; Patrick Yap; Maie Walsh; Lilian Downie; David J. Amor; Ravi Savarirayan; George McGillivray; Alison Yeung; Heidi Peters; Susan J. Robertson; Aaron J Robinson; Ivan Macciocca; Simon Sadedin; Katrina M. Bell; Alicia Oshlack; Peter Georgeson; Natalie P. Thorne; Clara Gaff; Susan M. White

21,099) compared with AU


Clinical Genetics | 2004

Implementation of HaemScreen, a workplace‐based genetic screening program for hemochromatosis

Ae Nisselle; Martin B. Delatycki; V Collins; Sylvia A. Metcalfe; MaryAnne Aitken; D du Sart; Jane Halliday; Ivan Macciocca; A Wakefield; V Hill; Alexandra A Gason; B Warner; V Calabro; Robert Williamson; Katrina J. Allen

5,047 (US


Genome Medicine | 2015

Cpipe: a shared variant detection pipeline designed for diagnostic settings

Simon Sadedin; Harriet Dashnow; Paul A. James; Melanie Bahlo; Denis C. Bauer; Andrew Lonie; Sebastian Lunke; Ivan Macciocca; Jason P. Ross; Kirby Siemering; Zornitza Stark; Susan M. White; Graham R. Taylor; Clara Gaff; Alicia Oshlack; Natalie P. Thorne

3,937) for singleton WES. If WES had been performed after exhaustive standard investigation, then there would have been an incremental cost per additional diagnosis of AU

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Paul A. James

Peter MacCallum Cancer Centre

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Clara Gaff

University of Melbourne

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Belinda Chong

Royal Children's Hospital

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Zornitza Stark

Royal Children's Hospital

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Ingrid Winship

Royal Melbourne Hospital

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