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Electronic Health Record-Based Genome-Wide Meta-Analysis Identifies New Susceptibility Loci for Non-Alcoholic Fatty Liver Disease
Background: Non-alcoholic fatty liver disease (NAFLD) is the most prevalent form of liver disease. Observational studies documented associations of NAFLD with several chronic and infectious diseases but whether these associations underlie causal effects is unknown. The molecular mechanisms and genet...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8135512/ http://dx.doi.org/10.1210/jendso/bvab048.1024 |
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author | Ghodsian, Nooshin Abner, Erik Gobeil, Émilie Taba, Nele Amand, Alexis St- Perrot, Nicolas Couture, Christian Bossé, Yohan Mitchell, Patricia Vohl, Marie-Claude Thériault, Sébastien Tchernof, André Esko, Tõnu Mathieu, Patrick Arsenault, Benoit |
author_facet | Ghodsian, Nooshin Abner, Erik Gobeil, Émilie Taba, Nele Amand, Alexis St- Perrot, Nicolas Couture, Christian Bossé, Yohan Mitchell, Patricia Vohl, Marie-Claude Thériault, Sébastien Tchernof, André Esko, Tõnu Mathieu, Patrick Arsenault, Benoit |
author_sort | Ghodsian, Nooshin |
collection | PubMed |
description | Background: Non-alcoholic fatty liver disease (NAFLD) is the most prevalent form of liver disease. Observational studies documented associations of NAFLD with several chronic and infectious diseases but whether these associations underlie causal effects is unknown. The molecular mechanisms and genetic architecture of NAFLD are poorly understood. Our objectives were to identify genetic loci associated with NAFLD and determine whether the presence of NAFLD was causally associated with human diseases. Methods: We created a NAFLD genetic instrument through the identification of independent single-nucleotide polymorphisms (SNPs) associated with NAFLD in a meta-analysis of genome-wide association study (GWAS) (6715 cases and 682,748 controls). Using inverse-variance weighted Mendelian Randomization (MR), we investigated the impact of NAFLD on human disease-related phenotypes in the UK Biobank and FinnGen cohorts as well as in the COVID-19 host genetics initiative. Results: We first performed a GWAS meta-analysis of four cohorts and found variants significantly associated with NAFLD (p<5.0E-8) at six genetic loci (MTARC1, GCKR, TRIB1, LMO3, SUGP1 [TM6SF2] and PNPLA3). Using a risk factor informed Bayesian approach (bGWAS), we identify variants at three additional loci (LPL, FTO, and APOE). To determine if the association between NAFLD and human diseases shows evidence of causality, we performed MR across the human disease-related phenome (>800 diseases) using a genetic instrument for NAFLD. Results of these analyses suggest that NAFLD was not causally associated with diseases outside the spectrum of liver diseases. We also found no causal association between genetically predicted NAFLD and COVID-19-related outcomes. Conclusions: This study identified several new genetic loci associated with NAFLD. NAFLD was not causally associated with diseases outside those of the spectrum of liver diseases. This finding suggests that the resolution of NAFLD might not prevent other diseases previously associated with NAFLD. |
format | Online Article Text |
id | pubmed-8135512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81355122021-05-21 Electronic Health Record-Based Genome-Wide Meta-Analysis Identifies New Susceptibility Loci for Non-Alcoholic Fatty Liver Disease Ghodsian, Nooshin Abner, Erik Gobeil, Émilie Taba, Nele Amand, Alexis St- Perrot, Nicolas Couture, Christian Bossé, Yohan Mitchell, Patricia Vohl, Marie-Claude Thériault, Sébastien Tchernof, André Esko, Tõnu Mathieu, Patrick Arsenault, Benoit J Endocr Soc Genetics and Development (including Gene Regulation) Background: Non-alcoholic fatty liver disease (NAFLD) is the most prevalent form of liver disease. Observational studies documented associations of NAFLD with several chronic and infectious diseases but whether these associations underlie causal effects is unknown. The molecular mechanisms and genetic architecture of NAFLD are poorly understood. Our objectives were to identify genetic loci associated with NAFLD and determine whether the presence of NAFLD was causally associated with human diseases. Methods: We created a NAFLD genetic instrument through the identification of independent single-nucleotide polymorphisms (SNPs) associated with NAFLD in a meta-analysis of genome-wide association study (GWAS) (6715 cases and 682,748 controls). Using inverse-variance weighted Mendelian Randomization (MR), we investigated the impact of NAFLD on human disease-related phenotypes in the UK Biobank and FinnGen cohorts as well as in the COVID-19 host genetics initiative. Results: We first performed a GWAS meta-analysis of four cohorts and found variants significantly associated with NAFLD (p<5.0E-8) at six genetic loci (MTARC1, GCKR, TRIB1, LMO3, SUGP1 [TM6SF2] and PNPLA3). Using a risk factor informed Bayesian approach (bGWAS), we identify variants at three additional loci (LPL, FTO, and APOE). To determine if the association between NAFLD and human diseases shows evidence of causality, we performed MR across the human disease-related phenome (>800 diseases) using a genetic instrument for NAFLD. Results of these analyses suggest that NAFLD was not causally associated with diseases outside the spectrum of liver diseases. We also found no causal association between genetically predicted NAFLD and COVID-19-related outcomes. Conclusions: This study identified several new genetic loci associated with NAFLD. NAFLD was not causally associated with diseases outside those of the spectrum of liver diseases. This finding suggests that the resolution of NAFLD might not prevent other diseases previously associated with NAFLD. Oxford University Press 2021-05-03 /pmc/articles/PMC8135512/ http://dx.doi.org/10.1210/jendso/bvab048.1024 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Genetics and Development (including Gene Regulation) Ghodsian, Nooshin Abner, Erik Gobeil, Émilie Taba, Nele Amand, Alexis St- Perrot, Nicolas Couture, Christian Bossé, Yohan Mitchell, Patricia Vohl, Marie-Claude Thériault, Sébastien Tchernof, André Esko, Tõnu Mathieu, Patrick Arsenault, Benoit Electronic Health Record-Based Genome-Wide Meta-Analysis Identifies New Susceptibility Loci for Non-Alcoholic Fatty Liver Disease |
title | Electronic Health Record-Based Genome-Wide Meta-Analysis Identifies New Susceptibility Loci for Non-Alcoholic Fatty Liver Disease |
title_full | Electronic Health Record-Based Genome-Wide Meta-Analysis Identifies New Susceptibility Loci for Non-Alcoholic Fatty Liver Disease |
title_fullStr | Electronic Health Record-Based Genome-Wide Meta-Analysis Identifies New Susceptibility Loci for Non-Alcoholic Fatty Liver Disease |
title_full_unstemmed | Electronic Health Record-Based Genome-Wide Meta-Analysis Identifies New Susceptibility Loci for Non-Alcoholic Fatty Liver Disease |
title_short | Electronic Health Record-Based Genome-Wide Meta-Analysis Identifies New Susceptibility Loci for Non-Alcoholic Fatty Liver Disease |
title_sort | electronic health record-based genome-wide meta-analysis identifies new susceptibility loci for non-alcoholic fatty liver disease |
topic | Genetics and Development (including Gene Regulation) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8135512/ http://dx.doi.org/10.1210/jendso/bvab048.1024 |
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