5-HTT及NET基因多态性与人格特质的关联性研究
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摘要
目的:探讨中国汉族健康人群Stin2、5-HTTLPR、NET T-182C、NET G-1287A单基因及交互作用对艾森克人格特质的影响。
方法:严格按照入组标准筛取中国汉族健康人群367例,收集一般人口学资料,采用艾森克人格问卷(EPQ)测量人格N、E、P三个维度,计算各维度标准分(T),并以T50分为界,将各维度分为两个等级:神经质和非神经质人格,内倾和外倾人格,精神质和非精神质人格;聚合酶链反应(PCR)检测Stin2、5-HTTLPR、NET T-182C、NET G-1287A基因多态性。使用SPSS13.0统计软件进行单位点数据分析:t检验、方差分析比较各基因型及等位基因间人格差异,χ2检验分析各人格维度分级间基因型及等位基因的分布差异;用UNPHASED软件计算Global P值;运用MDR Software程序包对Stin2、5-HTTLPR、NET T-182C、NET G-1287A各基因型间进行交互作用分析。
结果:
1.Hardy-Weinberg遗传平衡检验5-HTTLPR、Stin2、NET T-182C、NET G-1287A基因型分布在总样本及各人格维度分级中符合Hardy–Weinberg遗传平衡(P>0.05),所选样本具有群体代表性。
2. 5-HTT基因多态性与人格特质的关联性分析
2.1 Stin2
①N、E、P各人格维度均数在Stin2基因型及等位基因间分布差异无统计学意义(P>0.05)。
②在N、E、P各人格维度分级内也未见Stin2基因型及等位基因分布差异有统计学意义(P>0.05)。
2.2 5-HTTLPR
①神经质人格维度均数在5-HTTLPR各等位基因间分布有差异(t=2.232,P=0.026),携带等位基因L的人群,其神经质人格纬度均数(46.26±10.19)高于携带等位基因S的人群(44.02±10.89)。其余各人格维度均数在基因型及等位基因间分布差异均无统计学意义(P>0.05)。
②在N、E、P各人格维度分级内,5-HTTLPR基因型及等位基因分布差异无统计学意义(P>0.05)。
3. NET基因多态性与人格特质的关联性分析
3.1 NET T-182C
①内外向人格维度均数在T-182C各等位基因间分布有差异(t=-2.680,P=0.008),携带等位基因C的人群。其内外向人格维度均数(60.53±9.06)高于携带等位基因T的人群(58.33±9.99)。其余各人格维度均数在基因型及等位基因间分布差异均无统计学意义(P>0.05)。
②在N、E、P各人格维度分级内未见NET T-182C基因型及等位基因分布差异有统计学意义(P>0.05)。
3.2 NET G-1287A
①精神质人格纬度均数在各等位基因间分布有差异(t=-3.226,P=0.001),携带等位基因G的人群,其精神质人格纬度均数(46.49±8.77)低于携带等位基因A的人群(48.90±9.02)。其余各人格维度均数在基因型及等位基因间分布未见明显差异(P>0.05)。
②在内倾人格和外倾人格间,G-1287A基因型分布差异有统计学意义(χ2=9.950,P=0.007),GG基因型在内倾人格中出现频率为72.6%;等位基因分布差异亦有统计学意义(χ2=9.644,Pearson P=0.002,Global P =0.003,OR=2.275),等位基因G在内倾人格中出现频率达85.5%。其等位基因在精神质人格分级间分布有差别(χ2=4.456,Pearson P=0.035,Global P =0.035,OR=0.694),等位基因G在非精神质人格中出现频率达76.0%。4.未发现Stin2、5-HTTLPR、NET T-182C、NET G-1287A各基因型间存在明显交互作用(P>0.05)。
结论:
1、本研究未发现Stin2与中国汉族健康人群神经质、内外倾、精神质人格特质存在关联性。5-HTTLPR的等位基因L与神经质人格特质存在关联。
2、本研究显示NET T-182C的等位基因T与内倾人格特质有关联。NET G-1287A与内外倾、精神质人格特质相关,等位基因G是内倾人格的可疑危险因素,且与精神质人格特质相关。
3、尚未发现5-HTT、NET基因多态性间存在交互作用对中国汉族健康人群人格产生影响。
Objective To assess the association to the Eysenck personality Questionnaire (EPQ) personality among Stin2、5-HTTLPR、NET T-182C、NET G-1287A in the Chinese Han normal population.
Methods 367 unrelated Chinese Han healthy people were selected with strict standards, general demography data were collected, three personality dimensions (Neuroticism, Extraversion and Psychoticism) were assessed with EPQ, calculate the standard scores (T) of three dimensions, and then divide the personality into two levels by the T50: Neuroticism and Non-neuroticism, Introversion and Extraversion, Psychoticism and Non-psychoticism;Using the polymorphism of Stin2、5-HTTLPR、NET T-182C and NET G-1287A were detected by polymerase chain reaction (PCR). SPSS13.0 software were used for single polymorphism association analysis: Personality means were compared with t -test and One-Way ANOVA,the genotype and allele frequency distribution were compared withχ2 analysis; UNPHASED software were used to calculate Global P; MDR Software were used to perform gene-gene interaction analyze among Stin2、5-HTTLPR、NET T-182C and NET G-1287A.
Results:
1. Hardy-Weinberg equilibrium test
Stin2、5-HTTLPR、NET T-182C and NET G-1287A were obtained Hardy-Weinberg equilibrium (P>0.05), which indicated that the sample can represent the population.
2. 5-HTT gene polymorphism and personality
2.1 Stin2
①There was no statistically significant difference of each personality means between different Stin2 genotype and allele frequency(P>0.05).
②There was no statistically significant difference of Stin2 genotype and allele frequency distribution between different personality dimension levels(P>0.05).
2.2 5-HTTLPR
①The mean T scores of N latitude’s have statistical significance among L\S allele(t=2.232,P=0.026),subjects with L allele showed more neurotic personality(46.26±10.19) than subjects with S allele(44.02±10.89). There was no statistically significant difference of other personality means between different 5-HTTLPR genotype and allele frequency(P>0.05).
②There was no statistically significant difference of 5-HTTLPR genotype and allele frequency distribution between different personality dimension levels(P>0.05).
3. NET gene polymorphism and personality
3.1 NET T-182C
①The mean T scores of E latitude’s have statistical significance among T\C allele(t=-2.680,P=0.008),subjects with C allele showed more extroversion personality(60.53±9.06) than subjects with T allele(58.33±9.99). There was no statistically significant difference of other personality means between different NET T-182C genotype and allele frequency(P>0.05).
②There was no statistically significant difference of NET T-182C genotype and allele frequency distribution between different personality dimension levels(P>0.05).
3.2 NET G-1287A
①The mean T scores of P latitude’s have statistical significance among G\A allele(t=-3.226,P=0.001), subjects with G allele showed lower psychoticism personality(46.49±8.77)than subjects with A allele(48.90±9.02). There was no statistically significant difference of other personality means between different NET G-1287A genotype and allele frequency(P>0.05).
②The NET G-1287A genetype(χ2=9.950,P=0.007) and allele(χ2=9.644,Pearson P=0.002,Global P=0.003,OR=2.275) distribution have statistical significance between Introversion and Extraversion,GG genetype frequency(72.6%) and G allele frequency(85.5%) were significantly high among introversion subjects. The NET G-1287A allele distribution have statistical significance between Psychoticism and Non-psychoticism(χ2=4.456,Pearson P=0.035,Global P=0.035,OR=0.694), G allele frequency(76.0%) was significantly high among non-psychoticism subjects.
4. There were no significant interaction among Stin2、5-HTTLPR、NET T-182C、NET G-1287A.
Conclusions:
1. The Stin2 gene polymorphism may have no association with the Neuroticism, Extraversion and Psychoticism personality in the Chinese Han normal individuals.L allele of 5-HTTLPR have associations with N latitude.
2. T allele of NET T-182C have associations with E latitude. NET G-1287A have associations with E and P latitude. G allele is the doubtful risk factor of introversion personality and have associations with P latitude.
3. Not yet found the interaction to the personality among Stin2、5-HTTLPR、NET T-182C、NET G-1287A in the Chinese Han normal population.
方法:严格按照入组标准筛取中国汉族健康人群367例,收集一般人口学资料,采用艾森克人格问卷(EPQ)测量人格N、E、P三个维度,计算各维度标准分(T),并以T50分为界,将各维度分为两个等级:神经质和非神经质人格,内倾和外倾人格,精神质和非精神质人格;聚合酶链反应(PCR)检测Stin2、5-HTTLPR、NET T-182C、NET G-1287A基因多态性。使用SPSS13.0统计软件进行单位点数据分析:t检验、方差分析比较各基因型及等位基因间人格差异,χ2检验分析各人格维度分级间基因型及等位基因的分布差异;用UNPHASED软件计算Global P值;运用MDR Software程序包对Stin2、5-HTTLPR、NET T-182C、NET G-1287A各基因型间进行交互作用分析。
结果:
1.Hardy-Weinberg遗传平衡检验5-HTTLPR、Stin2、NET T-182C、NET G-1287A基因型分布在总样本及各人格维度分级中符合Hardy–Weinberg遗传平衡(P>0.05),所选样本具有群体代表性。
2. 5-HTT基因多态性与人格特质的关联性分析
2.1 Stin2
①N、E、P各人格维度均数在Stin2基因型及等位基因间分布差异无统计学意义(P>0.05)。
②在N、E、P各人格维度分级内也未见Stin2基因型及等位基因分布差异有统计学意义(P>0.05)。
2.2 5-HTTLPR
①神经质人格维度均数在5-HTTLPR各等位基因间分布有差异(t=2.232,P=0.026),携带等位基因L的人群,其神经质人格纬度均数(46.26±10.19)高于携带等位基因S的人群(44.02±10.89)。其余各人格维度均数在基因型及等位基因间分布差异均无统计学意义(P>0.05)。
②在N、E、P各人格维度分级内,5-HTTLPR基因型及等位基因分布差异无统计学意义(P>0.05)。
3. NET基因多态性与人格特质的关联性分析
3.1 NET T-182C
①内外向人格维度均数在T-182C各等位基因间分布有差异(t=-2.680,P=0.008),携带等位基因C的人群。其内外向人格维度均数(60.53±9.06)高于携带等位基因T的人群(58.33±9.99)。其余各人格维度均数在基因型及等位基因间分布差异均无统计学意义(P>0.05)。
②在N、E、P各人格维度分级内未见NET T-182C基因型及等位基因分布差异有统计学意义(P>0.05)。
3.2 NET G-1287A
①精神质人格纬度均数在各等位基因间分布有差异(t=-3.226,P=0.001),携带等位基因G的人群,其精神质人格纬度均数(46.49±8.77)低于携带等位基因A的人群(48.90±9.02)。其余各人格维度均数在基因型及等位基因间分布未见明显差异(P>0.05)。
②在内倾人格和外倾人格间,G-1287A基因型分布差异有统计学意义(χ2=9.950,P=0.007),GG基因型在内倾人格中出现频率为72.6%;等位基因分布差异亦有统计学意义(χ2=9.644,Pearson P=0.002,Global P =0.003,OR=2.275),等位基因G在内倾人格中出现频率达85.5%。其等位基因在精神质人格分级间分布有差别(χ2=4.456,Pearson P=0.035,Global P =0.035,OR=0.694),等位基因G在非精神质人格中出现频率达76.0%。4.未发现Stin2、5-HTTLPR、NET T-182C、NET G-1287A各基因型间存在明显交互作用(P>0.05)。
结论:
1、本研究未发现Stin2与中国汉族健康人群神经质、内外倾、精神质人格特质存在关联性。5-HTTLPR的等位基因L与神经质人格特质存在关联。
2、本研究显示NET T-182C的等位基因T与内倾人格特质有关联。NET G-1287A与内外倾、精神质人格特质相关,等位基因G是内倾人格的可疑危险因素,且与精神质人格特质相关。
3、尚未发现5-HTT、NET基因多态性间存在交互作用对中国汉族健康人群人格产生影响。
Objective To assess the association to the Eysenck personality Questionnaire (EPQ) personality among Stin2、5-HTTLPR、NET T-182C、NET G-1287A in the Chinese Han normal population.
Methods 367 unrelated Chinese Han healthy people were selected with strict standards, general demography data were collected, three personality dimensions (Neuroticism, Extraversion and Psychoticism) were assessed with EPQ, calculate the standard scores (T) of three dimensions, and then divide the personality into two levels by the T50: Neuroticism and Non-neuroticism, Introversion and Extraversion, Psychoticism and Non-psychoticism;Using the polymorphism of Stin2、5-HTTLPR、NET T-182C and NET G-1287A were detected by polymerase chain reaction (PCR). SPSS13.0 software were used for single polymorphism association analysis: Personality means were compared with t -test and One-Way ANOVA,the genotype and allele frequency distribution were compared withχ2 analysis; UNPHASED software were used to calculate Global P; MDR Software were used to perform gene-gene interaction analyze among Stin2、5-HTTLPR、NET T-182C and NET G-1287A.
Results:
1. Hardy-Weinberg equilibrium test
Stin2、5-HTTLPR、NET T-182C and NET G-1287A were obtained Hardy-Weinberg equilibrium (P>0.05), which indicated that the sample can represent the population.
2. 5-HTT gene polymorphism and personality
2.1 Stin2
①There was no statistically significant difference of each personality means between different Stin2 genotype and allele frequency(P>0.05).
②There was no statistically significant difference of Stin2 genotype and allele frequency distribution between different personality dimension levels(P>0.05).
2.2 5-HTTLPR
①The mean T scores of N latitude’s have statistical significance among L\S allele(t=2.232,P=0.026),subjects with L allele showed more neurotic personality(46.26±10.19) than subjects with S allele(44.02±10.89). There was no statistically significant difference of other personality means between different 5-HTTLPR genotype and allele frequency(P>0.05).
②There was no statistically significant difference of 5-HTTLPR genotype and allele frequency distribution between different personality dimension levels(P>0.05).
3. NET gene polymorphism and personality
3.1 NET T-182C
①The mean T scores of E latitude’s have statistical significance among T\C allele(t=-2.680,P=0.008),subjects with C allele showed more extroversion personality(60.53±9.06) than subjects with T allele(58.33±9.99). There was no statistically significant difference of other personality means between different NET T-182C genotype and allele frequency(P>0.05).
②There was no statistically significant difference of NET T-182C genotype and allele frequency distribution between different personality dimension levels(P>0.05).
3.2 NET G-1287A
①The mean T scores of P latitude’s have statistical significance among G\A allele(t=-3.226,P=0.001), subjects with G allele showed lower psychoticism personality(46.49±8.77)than subjects with A allele(48.90±9.02). There was no statistically significant difference of other personality means between different NET G-1287A genotype and allele frequency(P>0.05).
②The NET G-1287A genetype(χ2=9.950,P=0.007) and allele(χ2=9.644,Pearson P=0.002,Global P=0.003,OR=2.275) distribution have statistical significance between Introversion and Extraversion,GG genetype frequency(72.6%) and G allele frequency(85.5%) were significantly high among introversion subjects. The NET G-1287A allele distribution have statistical significance between Psychoticism and Non-psychoticism(χ2=4.456,Pearson P=0.035,Global P=0.035,OR=0.694), G allele frequency(76.0%) was significantly high among non-psychoticism subjects.
4. There were no significant interaction among Stin2、5-HTTLPR、NET T-182C、NET G-1287A.
Conclusions:
1. The Stin2 gene polymorphism may have no association with the Neuroticism, Extraversion and Psychoticism personality in the Chinese Han normal individuals.L allele of 5-HTTLPR have associations with N latitude.
2. T allele of NET T-182C have associations with E latitude. NET G-1287A have associations with E and P latitude. G allele is the doubtful risk factor of introversion personality and have associations with P latitude.
3. Not yet found the interaction to the personality among Stin2、5-HTTLPR、NET T-182C、NET G-1287A in the Chinese Han normal population.
引文
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