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Association of GALC, ZNF184, IL1R2 and ELOVL7 With Parkinson’s Disease in Southern Chinese

Study Objectives: The aim of the study was to investigate the relationship between 22 single nucleotide polymorphisms (SNPs) and Parkinson’s disease (PD) in the Chinese population. Methods: A total of 250 PD patients and 240 healthy controls were recruited. The SNaPshot technique and the polymer cha...

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Autores principales: Li, Gen, Cui, Shishuang, Du, Juanjuan, Liu, Jin, Zhang, Pingchen, Fu, Yang, He, Yixi, Zhou, Haiyan, Ma, Jianfang, Chen, Shengdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6301214/
https://www.ncbi.nlm.nih.gov/pubmed/30618709
http://dx.doi.org/10.3389/fnagi.2018.00402
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author Li, Gen
Cui, Shishuang
Du, Juanjuan
Liu, Jin
Zhang, Pingchen
Fu, Yang
He, Yixi
Zhou, Haiyan
Ma, Jianfang
Chen, Shengdi
author_facet Li, Gen
Cui, Shishuang
Du, Juanjuan
Liu, Jin
Zhang, Pingchen
Fu, Yang
He, Yixi
Zhou, Haiyan
Ma, Jianfang
Chen, Shengdi
author_sort Li, Gen
collection PubMed
description Study Objectives: The aim of the study was to investigate the relationship between 22 single nucleotide polymorphisms (SNPs) and Parkinson’s disease (PD) in the Chinese population. Methods: A total of 250 PD patients and 240 healthy controls were recruited. The SNaPshot technique and the polymer chain reaction were used to detect 22 SNPs. Results: rs8005172 of GALC, rs9468199 of ZNF184 and rs34043159 of IL1R2, were associated with PD (rs8005172: p = 0.009, OR = 0.69, allele model, p = 0.010, additive model, p = 0.015, OR = 2.17, dominant model; p = 0.020, OR = 2.11, dominant model after adjustment; p = 0.036, OR = 1.47, recessive model after adjustment; rs9468199: p = 0.008, OR = 1.52, allele model, p = 0.008, additive model, p = 0.007, OR = 0.22, recessive model, p = 0.005, OR = 0.20, recessive model after adjustment; rs34043159: p = 0.034, OR = 1.31, allele model, p = 0.036, additive model). Conclusion: Our study revealed that GALC, ZNF184, and IL1R2 were associated with PD in the southern Chinese population. GALC was also associated with LOPD. ELOVL7 and ZNF184 were associated with EOPD. In addition, trends of association to PD, between SATB1, NMD3, and FGF20, were also found. Statement of Significance: Genetic play an important role in the pathogenesis factors of Parkinson’s disease (PD). We found that GALC, ZNF184, and IL1R2 were associated with PD. GALC was also associated with late onset of PD, while ELOVL7 and ZNF184 were associated with early onset PD. This study is the first to find an association between GALC, ZNF184, and rs2280104 with PD.
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spelling pubmed-63012142019-01-07 Association of GALC, ZNF184, IL1R2 and ELOVL7 With Parkinson’s Disease in Southern Chinese Li, Gen Cui, Shishuang Du, Juanjuan Liu, Jin Zhang, Pingchen Fu, Yang He, Yixi Zhou, Haiyan Ma, Jianfang Chen, Shengdi Front Aging Neurosci Neuroscience Study Objectives: The aim of the study was to investigate the relationship between 22 single nucleotide polymorphisms (SNPs) and Parkinson’s disease (PD) in the Chinese population. Methods: A total of 250 PD patients and 240 healthy controls were recruited. The SNaPshot technique and the polymer chain reaction were used to detect 22 SNPs. Results: rs8005172 of GALC, rs9468199 of ZNF184 and rs34043159 of IL1R2, were associated with PD (rs8005172: p = 0.009, OR = 0.69, allele model, p = 0.010, additive model, p = 0.015, OR = 2.17, dominant model; p = 0.020, OR = 2.11, dominant model after adjustment; p = 0.036, OR = 1.47, recessive model after adjustment; rs9468199: p = 0.008, OR = 1.52, allele model, p = 0.008, additive model, p = 0.007, OR = 0.22, recessive model, p = 0.005, OR = 0.20, recessive model after adjustment; rs34043159: p = 0.034, OR = 1.31, allele model, p = 0.036, additive model). Conclusion: Our study revealed that GALC, ZNF184, and IL1R2 were associated with PD in the southern Chinese population. GALC was also associated with LOPD. ELOVL7 and ZNF184 were associated with EOPD. In addition, trends of association to PD, between SATB1, NMD3, and FGF20, were also found. Statement of Significance: Genetic play an important role in the pathogenesis factors of Parkinson’s disease (PD). We found that GALC, ZNF184, and IL1R2 were associated with PD. GALC was also associated with late onset of PD, while ELOVL7 and ZNF184 were associated with early onset PD. This study is the first to find an association between GALC, ZNF184, and rs2280104 with PD. Frontiers Media S.A. 2018-12-13 /pmc/articles/PMC6301214/ /pubmed/30618709 http://dx.doi.org/10.3389/fnagi.2018.00402 Text en Copyright © 2018 Li, Cui, Du, Liu, Zhang, Fu, He, Zhou, Ma and Chen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Li, Gen
Cui, Shishuang
Du, Juanjuan
Liu, Jin
Zhang, Pingchen
Fu, Yang
He, Yixi
Zhou, Haiyan
Ma, Jianfang
Chen, Shengdi
Association of GALC, ZNF184, IL1R2 and ELOVL7 With Parkinson’s Disease in Southern Chinese
title Association of GALC, ZNF184, IL1R2 and ELOVL7 With Parkinson’s Disease in Southern Chinese
title_full Association of GALC, ZNF184, IL1R2 and ELOVL7 With Parkinson’s Disease in Southern Chinese
title_fullStr Association of GALC, ZNF184, IL1R2 and ELOVL7 With Parkinson’s Disease in Southern Chinese
title_full_unstemmed Association of GALC, ZNF184, IL1R2 and ELOVL7 With Parkinson’s Disease in Southern Chinese
title_short Association of GALC, ZNF184, IL1R2 and ELOVL7 With Parkinson’s Disease in Southern Chinese
title_sort association of galc, znf184, il1r2 and elovl7 with parkinson’s disease in southern chinese
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6301214/
https://www.ncbi.nlm.nih.gov/pubmed/30618709
http://dx.doi.org/10.3389/fnagi.2018.00402
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