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Identifying potential biomarkers of nonalcoholic fatty liver disease via genome-wide analysis of copy number variation

BACKGROUND: The prevalence of Non-alcoholic fatty liver disease (NAFLD) is increasing and emerging as a global health burden. In addition to environmental factors, numerous studies have shown that genetic factors play an important role in the development of NAFLD. Copy number variation (CNV) as a ge...

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Autores principales: Li, Yang fan, Zheng, Jing, Peng, He wei, Cai, Xiao lin, Pan, Xin ting, Li, Hui quan, Hong, Qi zhu, Hu, Zhi jian, Wu, Yun li, Peng, Xian-E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045212/
https://www.ncbi.nlm.nih.gov/pubmed/33853536
http://dx.doi.org/10.1186/s12876-021-01750-4
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author Li, Yang fan
Zheng, Jing
Peng, He wei
Cai, Xiao lin
Pan, Xin ting
Li, Hui quan
Hong, Qi zhu
Hu, Zhi jian
Wu, Yun li
Peng, Xian-E.
author_facet Li, Yang fan
Zheng, Jing
Peng, He wei
Cai, Xiao lin
Pan, Xin ting
Li, Hui quan
Hong, Qi zhu
Hu, Zhi jian
Wu, Yun li
Peng, Xian-E.
author_sort Li, Yang fan
collection PubMed
description BACKGROUND: The prevalence of Non-alcoholic fatty liver disease (NAFLD) is increasing and emerging as a global health burden. In addition to environmental factors, numerous studies have shown that genetic factors play an important role in the development of NAFLD. Copy number variation (CNV) as a genetic variation plays an important role in the evaluation of disease susceptibility and genetic differences. The aim of the present study was to assess the contribution of CNV to the evaluation of NAFLD in a Chinese population. METHODS: Genome-wide analysis of CNV was performed using high-density comparative genomic hybridisation microarrays (ACGH). To validate the CNV regions, TaqMan real-time quantitative PCR (qPCR) was utilized. RESULTS: A total of 441 CNVs were identified, including 381 autosomal CNVs and 60 sex chromosome CNVs. By merging overlapping CNVs, a genomic CNV map of NAFLD patients was constructed. A total of 338 autosomal CNVRs were identified, including 275 CNVRs with consistent trends (197 losses and 78 gains) and 63 CNVRs with inconsistent trends. The length of the 338 CNVRs ranged from 5.7 kb to 2.23 Mb, with an average size of 117.44 kb. These CNVRs spanned 39.70 Mb of the genome and accounted for ~ 1.32% of the genome sequence. Through Gene Ontology and genetic pathway analysis, we found evidence that CNVs involving nine genes may be associated with the pathogenesis of NAFLD progression. One of the genes (NLRP4 gene) was selected and verified by quantitative PCR (qPCR) method with large sample size. We found the copy number deletion of NLRP4 was related to the risk of NAFLD. CONCLUSIONS: This study indicate the copy number variation is associated with NAFLD. The copy number deletion of NLRP4 was related to the risk of NAFLD. These results could prove valuable for predicting patients at risk of developing NAFLD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-021-01750-4.
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spelling pubmed-80452122021-04-14 Identifying potential biomarkers of nonalcoholic fatty liver disease via genome-wide analysis of copy number variation Li, Yang fan Zheng, Jing Peng, He wei Cai, Xiao lin Pan, Xin ting Li, Hui quan Hong, Qi zhu Hu, Zhi jian Wu, Yun li Peng, Xian-E. BMC Gastroenterol Research Article BACKGROUND: The prevalence of Non-alcoholic fatty liver disease (NAFLD) is increasing and emerging as a global health burden. In addition to environmental factors, numerous studies have shown that genetic factors play an important role in the development of NAFLD. Copy number variation (CNV) as a genetic variation plays an important role in the evaluation of disease susceptibility and genetic differences. The aim of the present study was to assess the contribution of CNV to the evaluation of NAFLD in a Chinese population. METHODS: Genome-wide analysis of CNV was performed using high-density comparative genomic hybridisation microarrays (ACGH). To validate the CNV regions, TaqMan real-time quantitative PCR (qPCR) was utilized. RESULTS: A total of 441 CNVs were identified, including 381 autosomal CNVs and 60 sex chromosome CNVs. By merging overlapping CNVs, a genomic CNV map of NAFLD patients was constructed. A total of 338 autosomal CNVRs were identified, including 275 CNVRs with consistent trends (197 losses and 78 gains) and 63 CNVRs with inconsistent trends. The length of the 338 CNVRs ranged from 5.7 kb to 2.23 Mb, with an average size of 117.44 kb. These CNVRs spanned 39.70 Mb of the genome and accounted for ~ 1.32% of the genome sequence. Through Gene Ontology and genetic pathway analysis, we found evidence that CNVs involving nine genes may be associated with the pathogenesis of NAFLD progression. One of the genes (NLRP4 gene) was selected and verified by quantitative PCR (qPCR) method with large sample size. We found the copy number deletion of NLRP4 was related to the risk of NAFLD. CONCLUSIONS: This study indicate the copy number variation is associated with NAFLD. The copy number deletion of NLRP4 was related to the risk of NAFLD. These results could prove valuable for predicting patients at risk of developing NAFLD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-021-01750-4. BioMed Central 2021-04-14 /pmc/articles/PMC8045212/ /pubmed/33853536 http://dx.doi.org/10.1186/s12876-021-01750-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Li, Yang fan
Zheng, Jing
Peng, He wei
Cai, Xiao lin
Pan, Xin ting
Li, Hui quan
Hong, Qi zhu
Hu, Zhi jian
Wu, Yun li
Peng, Xian-E.
Identifying potential biomarkers of nonalcoholic fatty liver disease via genome-wide analysis of copy number variation
title Identifying potential biomarkers of nonalcoholic fatty liver disease via genome-wide analysis of copy number variation
title_full Identifying potential biomarkers of nonalcoholic fatty liver disease via genome-wide analysis of copy number variation
title_fullStr Identifying potential biomarkers of nonalcoholic fatty liver disease via genome-wide analysis of copy number variation
title_full_unstemmed Identifying potential biomarkers of nonalcoholic fatty liver disease via genome-wide analysis of copy number variation
title_short Identifying potential biomarkers of nonalcoholic fatty liver disease via genome-wide analysis of copy number variation
title_sort identifying potential biomarkers of nonalcoholic fatty liver disease via genome-wide analysis of copy number variation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045212/
https://www.ncbi.nlm.nih.gov/pubmed/33853536
http://dx.doi.org/10.1186/s12876-021-01750-4
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