A Big Data Perspective on the Genomics of Hearing Loss.

Big data in der Diagnostik genetischer Schwerhörigkeit.

Journal

Laryngo- rhino- otologie
ISSN: 1438-8685
Titre abrégé: Laryngorhinootologie
Pays: Germany
ID NLM: 8912371

Informations de publication

Date de publication:
Mar 2019
Historique:
entrez: 17 5 2019
pubmed: 17 5 2019
medline: 30 10 2019
Statut: ppublish

Résumé

The completion of the human genome, the most fundamental example of big data in science and medicine, is the remarkable product of multidisciplinary collaboration and is regarded as one of the largest and most successful undertakings in human history. Unravelling the human genome means not only identifying the sequence of its more than 3.2 billion nucleotide bases, but also understanding disease-associated variations and applying this knowledge to patient-tailored precision medicine approaches. Genomics has moved at a remarkable pace, with much of the propelling forces behind this credited to technological developments in sequencing, computing, and bioinformatics, that have given rise to the term "big genomics data." The analysis of genetics data in a disease context involves the use of several big data resources that take the form of clinical genetics data repositories, in silico prediction tools, and allele frequency databases. These exceptional developments have cultivated high-throughput sequencing technologies that are capable of producing affordable high-quality data ranging from targeted gene panels to exomes and genomes. These new advancements have revolutionized the diagnostic paradigm of hereditary diseases including genetic hearing loss.Dissecting hereditary hearing loss is exceptionally challenging due to extensive genetic and clinical heterogeneity. There are presently over 150 genes involved in non-syndromic and common syndromic forms of hearing loss. The mutational spectrum of a single hearing loss associated-gene can have several tens to hundreds of pathogenic variants. Moreover, variant interpretation of novel variants can pose a challenge when conflicting information is deposited in valuable databases. Harnessing the power that comes from detailed and structured phenotypic information has proven promising for some forms of hearing loss, but may not be possible for all genetic forms due to highly variable clinical presentations. New knowledge in both diagnostic and scientific realms continues to rapidly accumulate. This overwhelming amount of information represents an increasing challenge for medical specialists. As a result, specialist medical care may evolve to take on new tasks and facilitate the interface between the human genetic diagnostic laboratory and the patient. These tasks include genetic counselling and the inclusion of genetics results in patient care.This overview is intended to serve as a reference to otolaryngologists who wish to gain an introduction to the molecular genetics of hearing loss. Key concepts of molecular genetic diagnostics will be presented. The complex processes underlying the identification and interpretation of genetic variants in particular would be inconceivable without the enormous amount of data available. In this respect, "big data" is an indispensable prerequisite for filtering genetic data in specific individual cases and making it clear and useful, especially for clinicians in contact with patients. Die vollständige Sequenzierung des menschlichen Genoms demonstriert als ein grundlegendes Beispiel eindrucksvoll die Entstehung einer großen Datenmenge (engl.:

Autres résumés

Type: Publisher (ger)
Die vollständige Sequenzierung des menschlichen Genoms demonstriert als ein grundlegendes Beispiel eindrucksvoll die Entstehung einer großen Datenmenge (engl.:

Identifiants

pubmed: 31096295
doi: 10.1055/a-0803-6149
doi:

Types de publication

Journal Article

Langues

eng ger

Sous-ensembles de citation

IM

Pagination

S32-S81

Informations de copyright

Eigentümer und Copyright ©Georg Thieme Verlag KG 2019.

Déclaration de conflit d'intérêts

Die Autoren geben an, dass kein Interessenkonflikt besteht.

Auteurs

Barbara Vona (B)

Klinik für Hals-, Nasen- und Ohrenheilkunde, Eberhard Karls Universität, Universitätsklinik Tübingen.

Marcus Müller (M)

Klinik für Hals-, Nasen- und Ohrenheilkunde, Eberhard Karls Universität, Universitätsklinik Tübingen.

Saskia Dofek (S)

Klinik für Hals-, Nasen- und Ohrenheilkunde, Eberhard Karls Universität, Universitätsklinik Tübingen.

Martin Holderried (M)

Klinik für Hals-, Nasen- und Ohrenheilkunde, Eberhard Karls Universität, Universitätsklinik Tübingen.

Hubert Löwenheim (H)

Klinik für Hals-, Nasen- und Ohrenheilkunde, Eberhard Karls Universität, Universitätsklinik Tübingen.

Anke Tropitzsch (A)

Klinik für Hals-, Nasen- und Ohrenheilkunde, Eberhard Karls Universität, Universitätsklinik Tübingen.

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Classifications MeSH