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FERMT2 rs17125944 polymorphism with Alzheimer's disease risk: a replication and meta-analysis
A recent meta-analysis of genome-wide association studies (GWAS) in population of Caucasian identified a single nucleotide polymorphism (SNP) rs17125944 in the FERMT2 gene as a new susceptibility locus for late-onset Alzheimer's disease (LOAD). In order to validate the association of the rs1712...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5129912/ https://www.ncbi.nlm.nih.gov/pubmed/27244899 http://dx.doi.org/10.18632/oncotarget.9679 |
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author | Zhang, Qiu-Yue Wang, Hui-Fu Zheng, Zhan-Jie Kong, Ling-Li Tan, Meng-Shan Tan, Chen-Chen Zhang, Wei Wang, Zi-Xuan Tan, Lin Yu, Jin-Tai Tan, Lan |
author_facet | Zhang, Qiu-Yue Wang, Hui-Fu Zheng, Zhan-Jie Kong, Ling-Li Tan, Meng-Shan Tan, Chen-Chen Zhang, Wei Wang, Zi-Xuan Tan, Lin Yu, Jin-Tai Tan, Lan |
author_sort | Zhang, Qiu-Yue |
collection | PubMed |
description | A recent meta-analysis of genome-wide association studies (GWAS) in population of Caucasian identified a single nucleotide polymorphism (SNP) rs17125944 in the FERMT2 gene as a new susceptibility locus for late-onset Alzheimer's disease (LOAD). In order to validate the association of the rs17125944 polymorphism with LOAD risk in the northern Han Chinese, we recruited a case–control study of 2338 Han Chinese subjects (984 cases and 1354 age- and gender-matched controls). Our results demonstrated that there was no significant association between the rs17125944 polymorphism and LOAD (genotype: P = 0.953; allele: P = 0.975). Furthermore, no significant differences were observed in alleles and genotypes distribution after stratification by apolipoprotein E (APOE) ε4 and multivariate logistic regression analysis. We also performed a meta-analysis in 81908 individuals. The meta-analysis showed that the C allele is the risk factor for LOAD in Caucasian group (OR = 1.15, 95 % CI = 1.10–1.20) and combined population (OR = 1.13, 95 % CI = 1.08–1.19). While in Chinese population, the C allele is not associated with increased risk of LOAD (OR = 1.07, 95 % CI = 0.89–1.28). In conclusion, our study showed that the rs17125944 polymorphism in FERMT2 gene might not be association with LOAD in northern Han Chinese population. |
format | Online Article Text |
id | pubmed-5129912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-51299122016-12-11 FERMT2 rs17125944 polymorphism with Alzheimer's disease risk: a replication and meta-analysis Zhang, Qiu-Yue Wang, Hui-Fu Zheng, Zhan-Jie Kong, Ling-Li Tan, Meng-Shan Tan, Chen-Chen Zhang, Wei Wang, Zi-Xuan Tan, Lin Yu, Jin-Tai Tan, Lan Oncotarget Research Paper: Gerotarget (Focus on Aging) A recent meta-analysis of genome-wide association studies (GWAS) in population of Caucasian identified a single nucleotide polymorphism (SNP) rs17125944 in the FERMT2 gene as a new susceptibility locus for late-onset Alzheimer's disease (LOAD). In order to validate the association of the rs17125944 polymorphism with LOAD risk in the northern Han Chinese, we recruited a case–control study of 2338 Han Chinese subjects (984 cases and 1354 age- and gender-matched controls). Our results demonstrated that there was no significant association between the rs17125944 polymorphism and LOAD (genotype: P = 0.953; allele: P = 0.975). Furthermore, no significant differences were observed in alleles and genotypes distribution after stratification by apolipoprotein E (APOE) ε4 and multivariate logistic regression analysis. We also performed a meta-analysis in 81908 individuals. The meta-analysis showed that the C allele is the risk factor for LOAD in Caucasian group (OR = 1.15, 95 % CI = 1.10–1.20) and combined population (OR = 1.13, 95 % CI = 1.08–1.19). While in Chinese population, the C allele is not associated with increased risk of LOAD (OR = 1.07, 95 % CI = 0.89–1.28). In conclusion, our study showed that the rs17125944 polymorphism in FERMT2 gene might not be association with LOAD in northern Han Chinese population. Impact Journals LLC 2016-05-27 /pmc/articles/PMC5129912/ /pubmed/27244899 http://dx.doi.org/10.18632/oncotarget.9679 Text en Copyright: © 2016 Zhang et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper: Gerotarget (Focus on Aging) Zhang, Qiu-Yue Wang, Hui-Fu Zheng, Zhan-Jie Kong, Ling-Li Tan, Meng-Shan Tan, Chen-Chen Zhang, Wei Wang, Zi-Xuan Tan, Lin Yu, Jin-Tai Tan, Lan FERMT2 rs17125944 polymorphism with Alzheimer's disease risk: a replication and meta-analysis |
title | FERMT2 rs17125944 polymorphism with Alzheimer's disease risk: a replication and meta-analysis |
title_full | FERMT2 rs17125944 polymorphism with Alzheimer's disease risk: a replication and meta-analysis |
title_fullStr | FERMT2 rs17125944 polymorphism with Alzheimer's disease risk: a replication and meta-analysis |
title_full_unstemmed | FERMT2 rs17125944 polymorphism with Alzheimer's disease risk: a replication and meta-analysis |
title_short | FERMT2 rs17125944 polymorphism with Alzheimer's disease risk: a replication and meta-analysis |
title_sort | fermt2 rs17125944 polymorphism with alzheimer's disease risk: a replication and meta-analysis |
topic | Research Paper: Gerotarget (Focus on Aging) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5129912/ https://www.ncbi.nlm.nih.gov/pubmed/27244899 http://dx.doi.org/10.18632/oncotarget.9679 |
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