Literature DB >> 32124637

Evolution of approaches to identify melanoma missing heritability.

Bruna Dalmasso1,2, Paola Ghiorzo1,2.   

Abstract

Introduction: Around 10% of melanoma patients have a positive family history of melanoma and/or related cancers. Although a germline pathogenic variant in a high-risk gene can be identified in up to 40% of these patients, the remaining part of melanoma heritability remains largely unexplained.Areas covered: The aim of this review is to provide an overview of the impact that new technologies and new research approaches had and are having on finding more efficient ways to unravel the missing heritability in melanoma.Expert opinion: High-throughput sequencing technologies have been crucial in increasing the number of genes/loci that might be implicated in melanoma predisposition. However, results from these approaches may have been inferior to the expectations, due to an increase in quantitative information which hasn't been followed at the same speed by an improvement of the methods to correctly interpret these data. Optimal approaches for improving our knowledge on melanoma heritability are currently based on segregation analysis coupled with functional assessment of candidate genes. An improvement of computational methods to infer genotype-phenotype correlations could help address the issue of missing heritability.

Entities:  

Keywords:  Melanoma; familial cancer; genetics; germline; missing heritability

Mesh:

Year:  2020        PMID: 32124637     DOI: 10.1080/14737159.2020.1738221

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  4 in total

1.  Functional annotation and investigation of the 10q24.33 melanoma risk locus identifies a common variant that influences transcriptional regulation of OBFC1.

Authors:  Antonella Cardinale; Sueva Cantalupo; Vito Alessandro Lasorsa; Annalaura Montella; Flora Cimmino; Mariangela Succoio; Michiel Vermeulen; Marijke P Baltissen; Matteo Esposito; Marianna Avitabile; Daniela Formicola; Alessandro Testori; Ferdinando Bonfiglio; Paola Ghiorzo; Massimiliano Scalvenzi; Fabrizio Ayala; Nicola Zambrano; Mark M Iles; Mai Xu; Matthew H Law; Kevin M Brown; Achille Iolascon; Mario Capasso
Journal:  Hum Mol Genet       Date:  2022-03-21       Impact factor: 5.121

2.  Insights into Genetic Susceptibility to Melanoma by Gene Panel Testing: Potential Pathogenic Variants in ACD, ATM, BAP1, and POT1.

Authors:  Lorenza Pastorino; Virginia Andreotti; Bruna Dalmasso; Irene Vanni; Giulia Ciccarese; Mario Mandalà; Giuseppe Spadola; Maria Antonietta Pizzichetta; Giovanni Ponti; Maria Grazia Tibiletti; Elena Sala; Maurizio Genuardi; Pietro Chiurazzi; Gabriele Maccanti; Siranoush Manoukian; Serena Sestini; Rita Danesi; Valentina Zampiga; Roberta La Starza; Ignazio Stanganelli; Alberto Ballestrero; Luca Mastracci; Federica Grillo; Stefania Sciallero; Federica Cecchi; Enrica Teresa Tanda; Francesco Spagnolo; Paola Queirolo; Alisa M Goldstein; William Bruno; Paola Ghiorzo
Journal:  Cancers (Basel)       Date:  2020-04-19       Impact factor: 6.639

3.  Predictors of germline status for hereditary melanoma: 5 years of multi-gene panel testing within the Italian Melanoma Intergroup.

Authors:  W Bruno; B Dalmasso; M Barile; V Andreotti; L Elefanti; M Colombino; I Vanni; E Allavena; F Barbero; E Passoni; B Merelli; S Pellegrini; F Morgese; R Danesi; V Calò; V Bazan; A V D'Elia; C Molica; F Gensini; E Sala; V Uliana; P F Soma; M Genuardi; A Ballestrero; F Spagnolo; E Tanda; P Queirolo; M Mandalà; I Stanganelli; G Palmieri; C Menin; L Pastorino; P Ghiorzo
Journal:  ESMO Open       Date:  2022-06-28

Review 4.  Aetiology and Pathogenesis of Cutaneous Melanoma: Current Concepts and Advances.

Authors:  Strahil Strashilov; Angel Yordanov
Journal:  Int J Mol Sci       Date:  2021-06-15       Impact factor: 5.923

  4 in total

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