Brief Description of Inheritance Patterns.


Journal

Experientia supplementum (2012)
ISSN: 1664-431X
Titre abrégé: Exp Suppl
Pays: Switzerland
ID NLM: 101738007

Informations de publication

Date de publication:
2019
Historique:
entrez: 8 10 2019
pubmed: 8 10 2019
medline: 11 10 2019
Statut: ppublish

Résumé

Increasing data about the human genome and associations between certain genetic regions with various conditions and diseases positioned human genetics at the top of the most emerging fields in medicine. Many diagnostics algorithms and therapeutical approaches used in everyday practice are based on genetic data. Molecular genetic diagnostics covered by this book uses genetic data obtained using germline DNA. In this book, the role of somatic mutation testing will be not covered; however, in many chapters, i.e., on hereditary tumor syndromes, the role of somatic mutations as the second hit for tumorigenesis will be mentioned. Genetic variants (genotypes) identified in germline DNA are responsible for transmission of diseases (phenotypes). This chapter will briefly summarize classical inheritance patterns. Most of the heritable human diseases are transmitted in an autosomal recessive way, but others, i.e., inherited tumor syndromes, follow the autosomal dominant pattern. Nomenclature used for pedigree analysis as well as the main features of inheritance patterns are also briefly reviewed.

Identifiants

pubmed: 31588525
doi: 10.1007/978-3-030-25905-1_2
doi:

Substances chimiques

DNA 9007-49-2

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

21-27

Auteurs

Annamária Kövesdi (A)

Department of Laboratory Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
"Lendület" Hereditary Endocrine Tumors Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.

Attila Patócs (A)

Department of Laboratory Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary. patocs.attila@med.semmelweis-univ.hu.
"Lendület" Hereditary Endocrine Tumors Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary. patocs.attila@med.semmelweis-univ.hu.
Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary. patocs.attila@med.semmelweis-univ.hu.

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Classifications MeSH