Two Novel Loci of RELN Associated With Antipsychotics Response in Chinese Han Population

BackgroundThere are great individual differences in the drug responses; however, there are few prognostic drug response biomarkers available. RELN is one of the more extensively examined schizophrenia candidate genes. The purpose of this study was to determine whether RELN can affect antipsychotics...

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Main Authors: Qingqing Xu, Mo Li, Shengying Qin, Yaojing Li, Ailing Ning, Yingmei Fu, Dongxiang Wang, Duan Zeng, Huafang Li, Wenjuan Yu, Shunying Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Pharmacology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphar.2020.00007/full
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author Qingqing Xu
Mo Li
Shengying Qin
Yaojing Li
Ailing Ning
Yingmei Fu
Dongxiang Wang
Duan Zeng
Huafang Li
Huafang Li
Wenjuan Yu
Shunying Yu
author_facet Qingqing Xu
Mo Li
Shengying Qin
Yaojing Li
Ailing Ning
Yingmei Fu
Dongxiang Wang
Duan Zeng
Huafang Li
Huafang Li
Wenjuan Yu
Shunying Yu
author_sort Qingqing Xu
collection DOAJ
description BackgroundThere are great individual differences in the drug responses; however, there are few prognostic drug response biomarkers available. RELN is one of the more extensively examined schizophrenia candidate genes. The purpose of this study was to determine whether RELN can affect antipsychotics response in the Chinese population. This may lead to the discovery of relevant novel drug response markers.MethodsThe unrelated 260 Chinese Han inpatients with schizophrenia were enrolled in the present study. The enrolled subjects have been prescribed antipsychotic medication during the study. A total of 15 SNPs of RELN were genotyped by MassARRAY® platform. The association of the RELN gene with therapeutic response to antipsychotics was analyzed based on sex and age at onset.ResultsTwo novel SNPs of RELN were found to be associated with antipsychotic treatment response (rs155333, p = 0.010 and rs6465938, p = 0.049) at nominal significance threshold, but not after multiple correction. Our study also revealed highly significant association of a haplotype consisting of three SNPs (rs362814-rs362626-rs2237628) with antipsychotic treatment response. Even after permutation, the p-value indicated significant association (rs362814-rs362626-rs2237628: ACT, χ2 = 6.353, p = 0.0117, permuted p = 0.04). Furthermore, a novel SNP, rs2535764, was found to be associated with antipsychotic response under overdominant genetic model at a marginal significant level of 0.046 (C/T vs. C/C + T/T: p = 0.046, AIC = 314.7, BIC = 321.6).ConclusionOur data indicated that RELN can affect antipsychotic treatment outcomes in the Chinese population. SNPs of RELN could be used as predictive biomarkers for future personalized medicine of antipsychotic drug treatment. However, none of the three novel SNPs (rs155333, rs6465938, and rs2535764) remained significant after Bonferroni correction. Therefore, validation is needed in larger pharmacogenetic studies.
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spelling doaj.art-d149263504044574831f325dec38d4762022-12-21T22:31:11ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122020-01-011110.3389/fphar.2020.00007495781Two Novel Loci of RELN Associated With Antipsychotics Response in Chinese Han PopulationQingqing Xu0Mo Li1Shengying Qin2Yaojing Li3Ailing Ning4Yingmei Fu5Dongxiang Wang6Duan Zeng7Huafang Li8Huafang Li9Wenjuan Yu10Shunying Yu11Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, ChinaBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, ChinaShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaClinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaBackgroundThere are great individual differences in the drug responses; however, there are few prognostic drug response biomarkers available. RELN is one of the more extensively examined schizophrenia candidate genes. The purpose of this study was to determine whether RELN can affect antipsychotics response in the Chinese population. This may lead to the discovery of relevant novel drug response markers.MethodsThe unrelated 260 Chinese Han inpatients with schizophrenia were enrolled in the present study. The enrolled subjects have been prescribed antipsychotic medication during the study. A total of 15 SNPs of RELN were genotyped by MassARRAY® platform. The association of the RELN gene with therapeutic response to antipsychotics was analyzed based on sex and age at onset.ResultsTwo novel SNPs of RELN were found to be associated with antipsychotic treatment response (rs155333, p = 0.010 and rs6465938, p = 0.049) at nominal significance threshold, but not after multiple correction. Our study also revealed highly significant association of a haplotype consisting of three SNPs (rs362814-rs362626-rs2237628) with antipsychotic treatment response. Even after permutation, the p-value indicated significant association (rs362814-rs362626-rs2237628: ACT, χ2 = 6.353, p = 0.0117, permuted p = 0.04). Furthermore, a novel SNP, rs2535764, was found to be associated with antipsychotic response under overdominant genetic model at a marginal significant level of 0.046 (C/T vs. C/C + T/T: p = 0.046, AIC = 314.7, BIC = 321.6).ConclusionOur data indicated that RELN can affect antipsychotic treatment outcomes in the Chinese population. SNPs of RELN could be used as predictive biomarkers for future personalized medicine of antipsychotic drug treatment. However, none of the three novel SNPs (rs155333, rs6465938, and rs2535764) remained significant after Bonferroni correction. Therefore, validation is needed in larger pharmacogenetic studies.https://www.frontiersin.org/article/10.3389/fphar.2020.00007/fullschizophreniaRELNantipsychoticsdrug responsepharmacogenetics
spellingShingle Qingqing Xu
Mo Li
Shengying Qin
Yaojing Li
Ailing Ning
Yingmei Fu
Dongxiang Wang
Duan Zeng
Huafang Li
Huafang Li
Wenjuan Yu
Shunying Yu
Two Novel Loci of RELN Associated With Antipsychotics Response in Chinese Han Population
Frontiers in Pharmacology
schizophrenia
RELN
antipsychotics
drug response
pharmacogenetics
title Two Novel Loci of RELN Associated With Antipsychotics Response in Chinese Han Population
title_full Two Novel Loci of RELN Associated With Antipsychotics Response in Chinese Han Population
title_fullStr Two Novel Loci of RELN Associated With Antipsychotics Response in Chinese Han Population
title_full_unstemmed Two Novel Loci of RELN Associated With Antipsychotics Response in Chinese Han Population
title_short Two Novel Loci of RELN Associated With Antipsychotics Response in Chinese Han Population
title_sort two novel loci of reln associated with antipsychotics response in chinese han population
topic schizophrenia
RELN
antipsychotics
drug response
pharmacogenetics
url https://www.frontiersin.org/article/10.3389/fphar.2020.00007/full
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