Revealing the Genomic Big Data: How Much Information Is Ready for Clinical Application?

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Human Genomics and Genetic Diseases".

Deadline for manuscript submissions: closed (10 February 2022) | Viewed by 4330

Special Issue Editors


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Guest Editor
Division of Medical Genetics, Department of Molecular Medicine, Sapienza Università di Roma, San Camillo-Forlanini Hospital, 00152 Rome, Italy
Interests: medical genetics; rare diseases; genetics of cancer; prenatal diagnosis; exome sequencing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Medical Genetics Laboratory, Papa Giovanni XXIII Hopital, 1, 24127 Bergamo, Italy
Interests: exome and genome sequencing; rare diseases; clinical genetics

Special Issue Information

Dear Colleagues,

In the last 10 years, the molecular approach for the study of genetic disorders has completely changed. Molecular diagnosis is based on the identification of the causative variant that allows genetic counseling, prenatal diagnosis, understanding of pathological mechanisms, and, eventually, personalized therapeutic approaches. However, high-throughput DNA analyses (i.e., exome and genome sequencing) have not yet reached a full diagnostic sensitivity, and several patients have no diagnosis in the absence of the identification of the responsible gene/locus. Indeed, the technologies currently used for detecting causal genetic variants lead to many variants of unknown significance (VUSs) and are mainly based on the use of whole-exome sequencing, thus neglecting the identification of non-coding and structural variants. This Special Issue aims to summarize our current abilities in the investigation of the human exome/genome as well as the clinical utility and applicability of the knowledge about coding and non-coding genomic regions. Among the different topics, this Issue intends to cover: (i) the analytical sensitivity of different DNA sequencing technologies (i.e., amplicon-based vs. enrichment-based sequencing, short- vs. long-read sequencing, single-molecule DNA sequencing) for the identification of both single-nucleotide and copy number variants; (ii) methods for investigating the functional roles of synonymous, 5’UTR and 3’UTR variants; (iii) the possibility of establishing a frequency threshold of variants’ allele frequency in different populations, and how referring to a “pan-genome” would increase our power to connect variation to human diversity and disease; and (iv) the current application of multi-omics approaches and how they could improve the diagnostic power of genetic testing.

Dr. Irene Bottillo
Dr. Laura Pezzoli
Guest Editors

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Keywords

  • genomic big data
  • DNA sequencing technologies
  • molecular genetics
  • multi-omics
  • variants of unknown significance (VUSs)
  • copy number variants (CNVs)
  • non-coding variants

Published Papers (1 paper)

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Review

12 pages, 287 KiB  
Review
National Genome Initiatives in Europe and the United Kingdom in the Era of Whole-Genome Sequencing: A Comprehensive Review
by Jan Smetana and Petr Brož
Genes 2022, 13(3), 556; https://0-doi-org.brum.beds.ac.uk/10.3390/genes13030556 - 21 Mar 2022
Cited by 8 | Viewed by 3632
Abstract
Identification of genomic variability in population plays an important role in the clinical diagnostics of human genetic diseases. Thanks to rapid technological development in the field of massive parallel sequencing technologies, also known as next-generation sequencing (NGS), complex genomic analyses are now easier [...] Read more.
Identification of genomic variability in population plays an important role in the clinical diagnostics of human genetic diseases. Thanks to rapid technological development in the field of massive parallel sequencing technologies, also known as next-generation sequencing (NGS), complex genomic analyses are now easier and cheaper than ever before, which consequently leads to more effective utilization of these techniques in clinical practice. However, interpretation of data from NGS is still challenging due to several issues caused by natural variability of DNA sequences in human populations. Therefore, development and realization of projects focused on description of genetic variability of local population (often called “national or digital genome”) with a NGS technique is one of the best approaches to address this problem. The next step of the process is to share such data via publicly available databases. Such databases are important for the interpretation of variants with unknown significance or (likely) pathogenic variants in rare diseases or cancer or generally for identification of pathological variants in a patient’s genome. In this paper, we have compiled an overview of published results of local genome sequencing projects from United Kingdom and Europe together with future plans and perspectives for newly announced ones. Full article
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