Literature DB >> 24405709

Role of genetics in diagnosis and therapy of acquired liver disease.

Vincent Zimmer1, Frank Lammert2.   

Abstract

By implementation of novel genotyping technologies, progress in delineating the genetic architecture of acquired liver diseases has been achieved in recent years. The rapid dissemination of genome-wide linkage and association studies has paved the way for the identification of genetic variants that cause or modify non-viral liver diseases as well as the natural and treatment-related outcomes in chronic viral hepatitis. Invaluable genomic data has recently been derived from additional genome-wide association studies (GWAS) of the archetypical cholestatic liver diseases primary sclerosing cholangitis (PSC) and primary biliary cirrhosis (PBC). Beyond providing novel pathobiological insights in need of more sophisticated functional annotation, gene variation might in the future be instrumental in precise risk stratification and the development of genotype-based treatment algorithms. In this regard, the definition of subtypes of acquired liver disease and re-categorization of clinically defined disease phenotypes into a more 'genometype'-based disease classification represents a priority future research direction.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ABC transporter; Cholelithiasis; Cholestasis; Epistasis; Genome-wide association studies

Mesh:

Year:  2013        PMID: 24405709     DOI: 10.1016/j.mam.2013.10.004

Source DB:  PubMed          Journal:  Mol Aspects Med        ISSN: 0098-2997


  1 in total

1.  A novel approach to genome-wide association analysis identifies genetic associations with primary biliary cholangitis and primary sclerosing cholangitis in Polish patients.

Authors:  Agnieszka Paziewska; Andrzej Habior; Agnieszka Rogowska; Włodzimierz Zych; Krzysztof Goryca; Jakub Karczmarski; Michalina Dabrowska; Filip Ambrozkiewicz; Bozena Walewska-Zielecka; Marek Krawczyk; Halina Cichoz-Lach; Piotr Milkiewicz; Agnieszka Kowalik; Krzysztof Mucha; Joanna Raczynska; Joanna Musialik; Grzegorz Boryczka; Michal Wasilewicz; Irena Ciecko-Michalska; Malgorzata Ferenc; Maria Janiak; Alina Kanikowska; Rafal Stankiewicz; Marek Hartleb; Tomasz Mach; Marian Grzymislawski; Joanna Raszeja-Wyszomirska; Ewa Wunsch; Tomasz Bobinski; Michal Mikula; Jerzy Ostrowski
Journal:  BMC Med Genomics       Date:  2017-01-06       Impact factor: 3.063

  1 in total

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