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Evaluation of Polygenic Determinants of Non-Alcoholic Fatty Liver Disease (NAFLD) By a Candidate Genes Resequencing Strategy
NAFLD is a polygenic condition but the individual and cumulative contribution of identified genes remains to be established. To get additional insight into the genetic architecture of NAFLD, GWAS-identified GCKR, PPP1R3B, NCAN, LYPLAL1 and TM6SF2 genes were resequenced by next generation sequencing...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829219/ https://www.ncbi.nlm.nih.gov/pubmed/29487372 http://dx.doi.org/10.1038/s41598-018-21939-0 |
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author | Di Costanzo, Alessia Belardinilli, Francesca Bailetti, Diego Sponziello, Marialuisa D’Erasmo, Laura Polimeni, Licia Baratta, Francesco Pastori, Daniele Ceci, Fabrizio Montali, Anna Girelli, Gabriella De Masi, Bruna Angeloni, Antonio Giannini, Giuseppe Del Ben, Maria Angelico, Francesco Arca, Marcello |
author_facet | Di Costanzo, Alessia Belardinilli, Francesca Bailetti, Diego Sponziello, Marialuisa D’Erasmo, Laura Polimeni, Licia Baratta, Francesco Pastori, Daniele Ceci, Fabrizio Montali, Anna Girelli, Gabriella De Masi, Bruna Angeloni, Antonio Giannini, Giuseppe Del Ben, Maria Angelico, Francesco Arca, Marcello |
author_sort | Di Costanzo, Alessia |
collection | PubMed |
description | NAFLD is a polygenic condition but the individual and cumulative contribution of identified genes remains to be established. To get additional insight into the genetic architecture of NAFLD, GWAS-identified GCKR, PPP1R3B, NCAN, LYPLAL1 and TM6SF2 genes were resequenced by next generation sequencing in a cohort of 218 NAFLD subjects and 227 controls, where PNPLA3 rs738409 and MBOAT7 rs641738 genotypes were also obtained. A total of 168 sequence variants were detected and 47 were annotated as functional. When all functional variants within each gene were considered, only those in TM6SF2 accumulate in NAFLD subjects compared to controls (P = 0.04). Among individual variants, rs1260326 in GCKR and rs641738 in MBOAT7 (recessive), rs58542926 in TM6SF2 and rs738409 in PNPLA3 (dominant) emerged as associated to NAFLD, with PNPLA3 rs738409 being the strongest predictor (OR 3.12, 95% CI, 1.8-5.5, P < 0.001). A 4-SNPs weighted genetic risk score value >0.28 was associated with a 3-fold increased risk of NAFLD. Interestingly, rs61756425 in PPP1R3B and rs641738 in MBOAT7 genes were predictors of NAFLD severity. Overall, TM6SF2, GCKR, PNPLA3 and MBOAT7 were confirmed to be associated with NAFLD and a score based on these genes was highly predictive of this condition. In addition, PPP1R3B and MBOAT7 might influence NAFLD severity. |
format | Online Article Text |
id | pubmed-5829219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58292192018-03-01 Evaluation of Polygenic Determinants of Non-Alcoholic Fatty Liver Disease (NAFLD) By a Candidate Genes Resequencing Strategy Di Costanzo, Alessia Belardinilli, Francesca Bailetti, Diego Sponziello, Marialuisa D’Erasmo, Laura Polimeni, Licia Baratta, Francesco Pastori, Daniele Ceci, Fabrizio Montali, Anna Girelli, Gabriella De Masi, Bruna Angeloni, Antonio Giannini, Giuseppe Del Ben, Maria Angelico, Francesco Arca, Marcello Sci Rep Article NAFLD is a polygenic condition but the individual and cumulative contribution of identified genes remains to be established. To get additional insight into the genetic architecture of NAFLD, GWAS-identified GCKR, PPP1R3B, NCAN, LYPLAL1 and TM6SF2 genes were resequenced by next generation sequencing in a cohort of 218 NAFLD subjects and 227 controls, where PNPLA3 rs738409 and MBOAT7 rs641738 genotypes were also obtained. A total of 168 sequence variants were detected and 47 were annotated as functional. When all functional variants within each gene were considered, only those in TM6SF2 accumulate in NAFLD subjects compared to controls (P = 0.04). Among individual variants, rs1260326 in GCKR and rs641738 in MBOAT7 (recessive), rs58542926 in TM6SF2 and rs738409 in PNPLA3 (dominant) emerged as associated to NAFLD, with PNPLA3 rs738409 being the strongest predictor (OR 3.12, 95% CI, 1.8-5.5, P < 0.001). A 4-SNPs weighted genetic risk score value >0.28 was associated with a 3-fold increased risk of NAFLD. Interestingly, rs61756425 in PPP1R3B and rs641738 in MBOAT7 genes were predictors of NAFLD severity. Overall, TM6SF2, GCKR, PNPLA3 and MBOAT7 were confirmed to be associated with NAFLD and a score based on these genes was highly predictive of this condition. In addition, PPP1R3B and MBOAT7 might influence NAFLD severity. Nature Publishing Group UK 2018-02-27 /pmc/articles/PMC5829219/ /pubmed/29487372 http://dx.doi.org/10.1038/s41598-018-21939-0 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Di Costanzo, Alessia Belardinilli, Francesca Bailetti, Diego Sponziello, Marialuisa D’Erasmo, Laura Polimeni, Licia Baratta, Francesco Pastori, Daniele Ceci, Fabrizio Montali, Anna Girelli, Gabriella De Masi, Bruna Angeloni, Antonio Giannini, Giuseppe Del Ben, Maria Angelico, Francesco Arca, Marcello Evaluation of Polygenic Determinants of Non-Alcoholic Fatty Liver Disease (NAFLD) By a Candidate Genes Resequencing Strategy |
title | Evaluation of Polygenic Determinants of Non-Alcoholic Fatty Liver Disease (NAFLD) By a Candidate Genes Resequencing Strategy |
title_full | Evaluation of Polygenic Determinants of Non-Alcoholic Fatty Liver Disease (NAFLD) By a Candidate Genes Resequencing Strategy |
title_fullStr | Evaluation of Polygenic Determinants of Non-Alcoholic Fatty Liver Disease (NAFLD) By a Candidate Genes Resequencing Strategy |
title_full_unstemmed | Evaluation of Polygenic Determinants of Non-Alcoholic Fatty Liver Disease (NAFLD) By a Candidate Genes Resequencing Strategy |
title_short | Evaluation of Polygenic Determinants of Non-Alcoholic Fatty Liver Disease (NAFLD) By a Candidate Genes Resequencing Strategy |
title_sort | evaluation of polygenic determinants of non-alcoholic fatty liver disease (nafld) by a candidate genes resequencing strategy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829219/ https://www.ncbi.nlm.nih.gov/pubmed/29487372 http://dx.doi.org/10.1038/s41598-018-21939-0 |
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