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SYNE1‐QK1 SNPs, G × G and G × E interactions on the risk of hyperlipidaemia

This study aimed to assess the relationship of 3 spectrin repeat containing nuclear envelope protein 1 (SYNE1) and 4 KH domain containing RNA binding (QK1) single nucleotide polymorphisms (SNPs), their haplotypes, gene‐gene (G × G), gene‐environment (G × E) interactions and hypercholesterolaemia (HC...

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Autores principales: Zheng, Peng‐Fei, Yin, Rui‐Xing, Liu, Chun‐Xiao, Deng, Guo‐Xiong, Guan, Yao‐Zong, Wei, Bi‐Liu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214174/
https://www.ncbi.nlm.nih.gov/pubmed/32281752
http://dx.doi.org/10.1111/jcmm.15239
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author Zheng, Peng‐Fei
Yin, Rui‐Xing
Liu, Chun‐Xiao
Deng, Guo‐Xiong
Guan, Yao‐Zong
Wei, Bi‐Liu
author_facet Zheng, Peng‐Fei
Yin, Rui‐Xing
Liu, Chun‐Xiao
Deng, Guo‐Xiong
Guan, Yao‐Zong
Wei, Bi‐Liu
author_sort Zheng, Peng‐Fei
collection PubMed
description This study aimed to assess the relationship of 3 spectrin repeat containing nuclear envelope protein 1 (SYNE1) and 4 KH domain containing RNA binding (QK1) single nucleotide polymorphisms (SNPs), their haplotypes, gene‐gene (G × G), gene‐environment (G × E) interactions and hypercholesterolaemia (HCH) and hypertriglyceridaemia (HTG) in the Chinese Maonan minority. The genetic make‐up of the SYNE1‐QK1 SNPs in 1932 unrelated subjects (normal, 641; HCH, 649; and HTG, 642) was obtained by next‐generation sequencing technologies. The genotypic frequencies of following SNPs were suggestively distinctive between the control and HCH groups (rs2623963, rs7745725, rs9459317, rs16897566), or between the control and HTG groups (rs2623963, rs1358317, rs7745725, rs1923608, rs16897566 SNPs; P < .05, respectively). Multiple‐locus linkage disequilibrium analysis indicated that the identified SNPs were not inherited independently. Several haplotypes and gene‐gene interaction haplotypes among the detected SNPs may be related with an increased morbidity of HCH (C‐G‐A, C‐G‐G and C‐G‐G‐T‐C‐A‐T) and HTG (C‐G‐G, G‐T‐G‐C, C‐G‐G‐G‐T‐G‐C and C‐G‐G‐T‐C‐A‐T), whereas others may be related with an decreased risk of HCH (G‐A‐A, G‐C‐A‐T, C‐A‐A‐T‐C‐A‐T and G‐A‐A‐G‐C‐A‐T) and HTG (G‐A‐A, G‐C‐A‐T, C‐A‐A‐T‐C‐A‐T and G‐A‐A‐G‐C‐A‐T). The association evaluation based on haplotypes and gene‐gene interactions could improve the power of detecting the risk of dyslipidaemia than anyone of SNP alone. There was significant three‐locus model involving SNP‐SNP, haplotype‐haplotype/environment and G × G interactions (P < .05‐0.001) that were detected by GMDR in HCH and HTG groups. Different interactions between genetic and environmental factors would produce different redundancy or synergy effects on the morbidity of HCH and/or HTG.
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spelling pubmed-72141742020-05-13 SYNE1‐QK1 SNPs, G × G and G × E interactions on the risk of hyperlipidaemia Zheng, Peng‐Fei Yin, Rui‐Xing Liu, Chun‐Xiao Deng, Guo‐Xiong Guan, Yao‐Zong Wei, Bi‐Liu J Cell Mol Med Original Articles This study aimed to assess the relationship of 3 spectrin repeat containing nuclear envelope protein 1 (SYNE1) and 4 KH domain containing RNA binding (QK1) single nucleotide polymorphisms (SNPs), their haplotypes, gene‐gene (G × G), gene‐environment (G × E) interactions and hypercholesterolaemia (HCH) and hypertriglyceridaemia (HTG) in the Chinese Maonan minority. The genetic make‐up of the SYNE1‐QK1 SNPs in 1932 unrelated subjects (normal, 641; HCH, 649; and HTG, 642) was obtained by next‐generation sequencing technologies. The genotypic frequencies of following SNPs were suggestively distinctive between the control and HCH groups (rs2623963, rs7745725, rs9459317, rs16897566), or between the control and HTG groups (rs2623963, rs1358317, rs7745725, rs1923608, rs16897566 SNPs; P < .05, respectively). Multiple‐locus linkage disequilibrium analysis indicated that the identified SNPs were not inherited independently. Several haplotypes and gene‐gene interaction haplotypes among the detected SNPs may be related with an increased morbidity of HCH (C‐G‐A, C‐G‐G and C‐G‐G‐T‐C‐A‐T) and HTG (C‐G‐G, G‐T‐G‐C, C‐G‐G‐G‐T‐G‐C and C‐G‐G‐T‐C‐A‐T), whereas others may be related with an decreased risk of HCH (G‐A‐A, G‐C‐A‐T, C‐A‐A‐T‐C‐A‐T and G‐A‐A‐G‐C‐A‐T) and HTG (G‐A‐A, G‐C‐A‐T, C‐A‐A‐T‐C‐A‐T and G‐A‐A‐G‐C‐A‐T). The association evaluation based on haplotypes and gene‐gene interactions could improve the power of detecting the risk of dyslipidaemia than anyone of SNP alone. There was significant three‐locus model involving SNP‐SNP, haplotype‐haplotype/environment and G × G interactions (P < .05‐0.001) that were detected by GMDR in HCH and HTG groups. Different interactions between genetic and environmental factors would produce different redundancy or synergy effects on the morbidity of HCH and/or HTG. John Wiley and Sons Inc. 2020-04-13 2020-05 /pmc/articles/PMC7214174/ /pubmed/32281752 http://dx.doi.org/10.1111/jcmm.15239 Text en © 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Zheng, Peng‐Fei
Yin, Rui‐Xing
Liu, Chun‐Xiao
Deng, Guo‐Xiong
Guan, Yao‐Zong
Wei, Bi‐Liu
SYNE1‐QK1 SNPs, G × G and G × E interactions on the risk of hyperlipidaemia
title SYNE1‐QK1 SNPs, G × G and G × E interactions on the risk of hyperlipidaemia
title_full SYNE1‐QK1 SNPs, G × G and G × E interactions on the risk of hyperlipidaemia
title_fullStr SYNE1‐QK1 SNPs, G × G and G × E interactions on the risk of hyperlipidaemia
title_full_unstemmed SYNE1‐QK1 SNPs, G × G and G × E interactions on the risk of hyperlipidaemia
title_short SYNE1‐QK1 SNPs, G × G and G × E interactions on the risk of hyperlipidaemia
title_sort syne1‐qk1 snps, g × g and g × e interactions on the risk of hyperlipidaemia
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214174/
https://www.ncbi.nlm.nih.gov/pubmed/32281752
http://dx.doi.org/10.1111/jcmm.15239
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