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Genetic Contribution to Non-alcoholic Fatty Liver Disease and Prognostic Implications.
Martin, Katherine; Hatab, Anas; Athwal, Varinder S; Jokl, Elliot; Piper Hanley, Karen.
Afiliação
  • Martin K; Wellcome Centre for Cell-Matrix Research, Faculty of Biology, Medicine & Health, Manchester Academic Health Science Centre, University of Manchester, Oxford Road M13 9PT, Manchester, UK. katherine.martin@manchester.ac.uk.
  • Hatab A; Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine & Health, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester, UK. katherine.martin@manchester.ac.uk.
  • Athwal VS; Manchester University NHS Foundation Trust, Oxford Road M13 9PT, Manchester, UK. katherine.martin@manchester.ac.uk.
  • Jokl E; Wellcome Centre for Cell-Matrix Research, Faculty of Biology, Medicine & Health, Manchester Academic Health Science Centre, University of Manchester, Oxford Road M13 9PT, Manchester, UK.
  • Piper Hanley K; Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine & Health, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester, UK.
Curr Diab Rep ; 21(3): 8, 2021 02 05.
Article em En | MEDLINE | ID: mdl-33544287
ABSTRACT
PURPOSE OF REVIEW Non-alcoholic fatty liver disease (NAFLD) is a major and increasing health burden, with the potential to overwhelm hepatology services. However, only a minority of patients develop advanced liver disease. The challenge is early identification of patients at risk of progression. This review aims to summarize current knowledge on the genetic predisposition to NAFLD, and its implications for prognostication and risk stratification. RECENT

FINDINGS:

PNPLA3-I148M is the most robustly associated genetic variant with NAFLD. Recently, variants in TM6SF2, MBOAT7, GCKR and HSD17B13 have also been implicated. NAFLD is a complex disease, and any one genetic variant alone is insufficient for risk stratification, but combining multiple genetic variants with other parameters is a promising strategy. It is anticipated that, in the near future, analysis of data from large-scale prospective cohorts will reveal NAFLD subtypes and enable the development of prognostic models. This will facilitate risk stratification of patients, enabling optimisation of resources to effectively manage the NAFLD epidemic.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hepatopatia Gordurosa não Alcoólica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hepatopatia Gordurosa não Alcoólica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article