Alessandro Parra

Dr. Alessandro Parra


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2011 in Journal of Bone and Joint Surgery
Verified
Journal Article
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EPElena Pedrini
Elena Pedrini
IJIvy Jennes
Ivy Jennes
MTMorena Tremosini
Morena Tremosini
AMAnnamaria Milanesi
Annamaria Milanesi
MMMarina Mordenti
Marina Mordenti
LSLuca Sangiorgi
Luca Sangiorgi
Background: Multiple hereditary exostoses is an autosomal dominant skeletal disorder characterized by wide variation in clinical phenotype. The aim of this study was to evaluate whether the severity of the disease is linked with a specific genetic background. Methods: Five hundred and twenty-nine patients with multiple hereditary exostoses from two different European referral centers participated in the study. According to a new clinical classification based on the presence or absence of deformities and functional limitations, the phenotype of the patients was assessed as mild (the absence of both aspects), intermediate, or severe (the concurrent presence of both aspects). An identical molecular screening protocol with denaturing high-performance liquid chromatography and multiplex ligation-dependent probe amplification was performed in both institutions. Results: In our cohort of patients, variables such as female sex (odds ratio = 1.840; 95% confidence interval, 1.223 to 2.766), fewer than five skeletal sites with exostoses (odds ratio = 7.588; 95% confidence interval, 3.479 to 16.553), EXT2 mutations (odds ratio = 2.652; 95% confidence interval, 1.665 to 4.223), and absence of EXT1/2 mutations (odds ratio = 1.975; 95% confidence interval, 1.051 to 3.713) described patients with a mild phenotype; in contrast, a severe phenotype was associated with male sex (odds ratio = 2.431; 95% confidence interval, 1.544 to 3.826), EXT1 mutations (odds ratio = 6.817; 95% confidence interval, 1.003 to 46.348), and more than twenty affected skeletal sites (odds ratio = 2.413; 95% confidence interval, 1.144 to 5.091). Malignant transformation was observed in 5% of patients, and no evidence of association between chondrosarcoma onset and EXT mutation, sex, severity of disease, or number of lesions was detected. Conclusions: The identified “protective” and “risk” factors, as well as the proposed classification system, represent helpful tools for clinical management and follow-up of patients with multiple hereditary exostoses; moreover, homogeneous cohorts of patients, useful for studies on the pathogenesis of multiple hereditary exostoses, have been identified. Level of Evidence: Prognostic Level II. See Instructions to Authors for a complete description of levels of evidence.

1 January 2008 in The Journal of Molecular Diagnostics
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Journal Article
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IJIvy Jennes
Ivy Jennes
MEMark M. Entius
Mark M. Entius
EHEls Van Hul
Els Van Hul
APAlessandro Parra
Alessandro Parra
LSLuca Sangiorgi
Luca Sangiorgi
WWWim Wuyts
Wim Wuyts

26 April 2010 in Oncogene
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Journal Article
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MZM Zuntini
M Zuntini
EPElena Pedrini
Elena Pedrini
APAlessandro Parra
Alessandro Parra
FSF Sgariglia
F Sgariglia
FGF V Gentile
F V Gentile
LSLuca Sangiorgi
Luca Sangiorgi

2 November 2010 in Clinical Genetics
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Journal Article
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MZM Zuntini
M Zuntini
MSMarco Salvatore
Marco Salvatore
EPElena Pedrini
Elena Pedrini
APAlessandro Parra
Alessandro Parra
FSF Sgariglia
F Sgariglia
LSLuca Sangiorgi
Luca Sangiorgi

18 July 2012 in Human Mutation
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Journal Article
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FGFilomena Valentina Gentile
Filomena Valentina Gentile
MZMonia Zuntini
Monia Zuntini
APAlessandro Parra
Alessandro Parra
LBLuca Battistelli
Luca Battistelli
MPMartina Pandolfi
Martina Pandolfi
LSLuca Sangiorgi
Luca Sangiorgi
Osteogenesis imperfecta (OI) is a connective tissue disorder mostly characterized by autosomal dominant inheritance. Over 1,100 causal mutations have been identified scattered along all exons of genes encoding type I collagen precursors, COL1A1 and COL1A2. Because of the absence of mutational hotspots, Sanger sequencing is considered the gold standard for molecular analysis even if the workload is very laborious and expensive. To overcome this issue, different prescreening methods have been proposed, including DHPLC and biochemical studies on cultured dermal fibroblasts; however, both approaches present different drawbacks. Moreover, in case of patients who screen negative for point mutations, an additional screening step for complex rearrangements is required; the added causative variants expected from this approach are about 1–2%. The aim of this study was to optimize and validate a new protocol that combines quantitative PCR (qPCR) and high‐resolution melting (HRM) curve analysis to reduce time and costs for molecular diagnosis. Results of qPCR–HRM screening on 57 OI patients, validated by DHPLC–direct sequencing and multiplex ligation‐dependent probe amplification (MLPA), indicate that all alterations identified with the mentioned methodologies are successfully detected by qPCR–HRM. Moreover, HRM was able to discriminate complex genotypes and homozygous variants. Finally, qPCR–HRM outperformed direct sequencing and DHPLC–MLPA in terms of rapidity and costs. Hum Mutat 33:1697–1707, 2012.

5 June 2020 in Journal of Cell Communication and Signaling
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Journal Article
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MSMarika Sciandra
Marika Sciandra
AFAlessandra De Feo
Alessandra De Feo
APAlessandro Parra
Alessandro Parra
LLLorena Landuzzi
Lorena Landuzzi
PLPier Luigi Lollini
Pier Luigi Lollini
Katia ScotlandiKatia Scotlandi
Katia Scotlandi