Background Subjective well-being(SWB),also known as happiness,plays an important role in evaluating both mental and physical health.Adolescents deserve specific attention because they are under a great variety of stre...Background Subjective well-being(SWB),also known as happiness,plays an important role in evaluating both mental and physical health.Adolescents deserve specific attention because they are under a great variety of stresses and are at risk for mental disorders during adulthood.Aim The present paper aims to predict undergraduate students1 SWB by machine learning method.Methods Gradient Boosting Classifier which was an innovative yet validated machine learning approach was used to analyse data from 10518 Chinese adolescents.The online survey included 298 factors such as depression and personality.Quality control procedure was used to minimise biases due to online survey reports.We applied feature selection to achieve the balance between optimal prediction and result interpretation.Results The top 20 happiness risks and protective factors were finally brought into the predicting model.Approximately 90%individuals'SWB can be predicted correctly,and the sensitivity and specificity were about 92%and 90%,respectively.Conclusions This result identifies at-risk individuals according to new characteristics and established the foundation for adolescent prevention strategies.展开更多
Objective: This study aimed to investigate the association between single-nucleotide polymorphisms (SNPs) ofPCSK1 (proprotein convertase subtilisin/kexin type 1) related to obesity and nonalcoholic fatty liver disease...Objective: This study aimed to investigate the association between single-nucleotide polymorphisms (SNPs) ofPCSK1 (proprotein convertase subtilisin/kexin type 1) related to obesity and nonalcoholic fatty liver disease (NAFLD).Methods: In this case-control observational study, four candidate SNPs (rs6234, rs155971, rs6232, rs3811951) ofPCSK1 were genotyped in 732 NAFLD patients and 823 healthy control participants, all of whom were of ethnic Han Chinese descent. All participants came from Shanghai, China, and joined our study during 2015 to 2016. The frequencies of each allele and genotype, paired linkage disequilibrium, and haplotype were calculated on the SHEsis platform. In addition to SHEsis, five different genetic models (codominant, dominant, recessive, overdominant, and log-additive) were employed to identify the correlation between genotype frequency and NAFLD. This study was approved by the Medical Ethics Committee of Shanghai University of Traditional Chinese Medicine (approved No. 2017LCSY069).Results: In a comparison of NAFLD patients and healthy participants, none of the fourPCSK1 SNPs were significantly correlated with the occurrence of NAFLD (P>0.05), in either genotypic or allelic distribution. The recessive model of rs3811951 appeared to show a correlation (odds ratio=1.077;95% confidence interval=0.924-1.256;P=0.04), but there was no statistical significance after Bonferroni correction (Pcorr>0.0125).Conclusions: Four obesity-relatedPCSK1 SNPs (rs6234, rs155971, rs6232, rs3811951) showed no significant correlation with the development of NAFLD in a Han Chinese population.展开更多
Objective: Venlafaxine is a common antidepressant and its therapeutic effect varies among people with different genetic backgrounds. The aim of this study was to investigate whether single nucleotide polymorphisms (SN...Objective: Venlafaxine is a common antidepressant and its therapeutic effect varies among people with different genetic backgrounds. The aim of this study was to investigate whether single nucleotide polymorphisms (SNPs) in theSLC17A7 gene are associated with the treatment outcome of venlafaxine in a Chinese Han population with major depressive disorder.Methods: This prospective pharmacogenetic case-control study that involved genotyping of four SNPs ofSLC17A7 was conducted on 175 major depressive disorder patients of Chinese Han origin, aged 18 to 65 years, participated in the study from April 2005 to September 2006. Comparisons of allele and genotype frequencies of all SNPs were performed between the responder/remission group and the nonresponder/nonremission group. This study was approved by the Institutional Ethics Committee of Sichuan University (approval No. 20151112-265).Results: The allele and genotype frequencies of the four candidate SNPs inSCL17A7 showed no significant difference between responders and nonresponders. Meanwhile, no significant difference was detected in the four investigatedSLC17A7 SNPs between patients who did and did not exhibit remission. Although one of the investigatedSLC17A7 variants (rs1578944) demonstrated a significant association (P=0.022) with a response to venlafaxine after 6 weeks of treatment in the survival analysis, the association was unclear after a Bonferroni multiple comparisons test was conducted.Conclusion: No significant association exists between the four candidate SNPs (rs1043558, rs1320301, rs1578944, and rs74174284) inSLC17A7 and venlafaxine treatment in the Chinese Han population.展开更多
Flow has been widely studied in the field of positive psychology.However,little is known regarding its biological mechanism.This study aimed to ascertain flow-related gene loci.We investigated the association between ...Flow has been widely studied in the field of positive psychology.However,little is known regarding its biological mechanism.This study aimed to ascertain flow-related gene loci.We investigated the association between flow and five single nucleotide polymorphisms associated with common mental disorders among a sample of 870 healthy 1 st year students of Jining Medical University,Shandong Province,China.This study was approved by the Ethics Committee of Jining Medical University(approval number:JNMC-2016-KY-001)on June 1,2016.rs11191454 demonstrated significant statistical association with flow after adjusting for age and gender(P=0.004).The allele carriers achieved higher scores in all 4 dimensions of flow:merging of action and awareness,challenge-skill balance,sense of control,and clear goals.This biological research article indicates that rs11191454 in the arsenite methyltransferase(AS3MT)gene might be associated with flow in a Chinese Han population,and that might result from altered arsenic metabolism.展开更多
基金This work was supported by the National Key Research and Development Program(2016YFC0906400,2016YFC1307000,2016YFC0905000)the National Nature Science Foundation of China(81421061,81361120389)+2 种基金the Shanghai Key Laboratory of Psychotic Disorders(13dz2260500)the Shanghai Leading Academic Discipline Project(B205)the Fundamental Research Funds for the Central Universities(16JXRZ01).
文摘Background Subjective well-being(SWB),also known as happiness,plays an important role in evaluating both mental and physical health.Adolescents deserve specific attention because they are under a great variety of stresses and are at risk for mental disorders during adulthood.Aim The present paper aims to predict undergraduate students1 SWB by machine learning method.Methods Gradient Boosting Classifier which was an innovative yet validated machine learning approach was used to analyse data from 10518 Chinese adolescents.The online survey included 298 factors such as depression and personality.Quality control procedure was used to minimise biases due to online survey reports.We applied feature selection to achieve the balance between optimal prediction and result interpretation.Results The top 20 happiness risks and protective factors were finally brought into the predicting model.Approximately 90%individuals'SWB can be predicted correctly,and the sensitivity and specificity were about 92%and 90%,respectively.Conclusions This result identifies at-risk individuals according to new characteristics and established the foundation for adolescent prevention strategies.
基金Innovation Funding in Shanghai(Nos.20JC1418600 and 18JC1413100)National Nature Science Foundation of China(Nos.82071262 and 81671326)+2 种基金Natural Science Foundation of Shanghai(Nos.20ZR1427200 and 20511101900)Shanghai Municipal Science and Technology Major Project(No.2017SHZDZX01)Shanghai Leading Academic Discipline Project(No.B205).
文摘Objective: This study aimed to investigate the association between single-nucleotide polymorphisms (SNPs) ofPCSK1 (proprotein convertase subtilisin/kexin type 1) related to obesity and nonalcoholic fatty liver disease (NAFLD).Methods: In this case-control observational study, four candidate SNPs (rs6234, rs155971, rs6232, rs3811951) ofPCSK1 were genotyped in 732 NAFLD patients and 823 healthy control participants, all of whom were of ethnic Han Chinese descent. All participants came from Shanghai, China, and joined our study during 2015 to 2016. The frequencies of each allele and genotype, paired linkage disequilibrium, and haplotype were calculated on the SHEsis platform. In addition to SHEsis, five different genetic models (codominant, dominant, recessive, overdominant, and log-additive) were employed to identify the correlation between genotype frequency and NAFLD. This study was approved by the Medical Ethics Committee of Shanghai University of Traditional Chinese Medicine (approved No. 2017LCSY069).Results: In a comparison of NAFLD patients and healthy participants, none of the fourPCSK1 SNPs were significantly correlated with the occurrence of NAFLD (P>0.05), in either genotypic or allelic distribution. The recessive model of rs3811951 appeared to show a correlation (odds ratio=1.077;95% confidence interval=0.924-1.256;P=0.04), but there was no statistical significance after Bonferroni correction (Pcorr>0.0125).Conclusions: Four obesity-relatedPCSK1 SNPs (rs6234, rs155971, rs6232, rs3811951) showed no significant correlation with the development of NAFLD in a Han Chinese population.
基金This work was supported by the National Key Research and Development Program(Nos.2016YFC0906400,2016YFC1307000,2016YFC0905000,2017YFC0909200)the National Nature Science Foundation of China(Nos.81671326,81421061,81361120389,31701086)+4 种基金the Interdis-ciplinary Program of Shanghai Jiao Tong University(No.YG2019ZDA30)the Shanghai Key Laboratory of Psychotic Disorders(No.13dz2260500)Shanghai Municipal Science and Technology Major Project(No.2017SHZDZX01)the Shanghai Leading Academic Discipline Project(No.B205)the Capacity Building Planning Program for Shanghai Women and Children's Health Service(the Collaborative Innovation Center Project Construction for Shanghai Women and Children's Health,as well as the Project for Enhancing the Service Capacity of Shanghai Women and Children Health Care Institutions).
文摘Objective: Venlafaxine is a common antidepressant and its therapeutic effect varies among people with different genetic backgrounds. The aim of this study was to investigate whether single nucleotide polymorphisms (SNPs) in theSLC17A7 gene are associated with the treatment outcome of venlafaxine in a Chinese Han population with major depressive disorder.Methods: This prospective pharmacogenetic case-control study that involved genotyping of four SNPs ofSLC17A7 was conducted on 175 major depressive disorder patients of Chinese Han origin, aged 18 to 65 years, participated in the study from April 2005 to September 2006. Comparisons of allele and genotype frequencies of all SNPs were performed between the responder/remission group and the nonresponder/nonremission group. This study was approved by the Institutional Ethics Committee of Sichuan University (approval No. 20151112-265).Results: The allele and genotype frequencies of the four candidate SNPs inSCL17A7 showed no significant difference between responders and nonresponders. Meanwhile, no significant difference was detected in the four investigatedSLC17A7 SNPs between patients who did and did not exhibit remission. Although one of the investigatedSLC17A7 variants (rs1578944) demonstrated a significant association (P=0.022) with a response to venlafaxine after 6 weeks of treatment in the survival analysis, the association was unclear after a Bonferroni multiple comparisons test was conducted.Conclusion: No significant association exists between the four candidate SNPs (rs1043558, rs1320301, rs1578944, and rs74174284) inSLC17A7 and venlafaxine treatment in the Chinese Han population.
基金approved by the Ethics Committee of Jining Medical University,China(approval number:JNMC-2016-KY-001)on June 1,2016.
文摘Flow has been widely studied in the field of positive psychology.However,little is known regarding its biological mechanism.This study aimed to ascertain flow-related gene loci.We investigated the association between flow and five single nucleotide polymorphisms associated with common mental disorders among a sample of 870 healthy 1 st year students of Jining Medical University,Shandong Province,China.This study was approved by the Ethics Committee of Jining Medical University(approval number:JNMC-2016-KY-001)on June 1,2016.rs11191454 demonstrated significant statistical association with flow after adjusting for age and gender(P=0.004).The allele carriers achieved higher scores in all 4 dimensions of flow:merging of action and awareness,challenge-skill balance,sense of control,and clear goals.This biological research article indicates that rs11191454 in the arsenite methyltransferase(AS3MT)gene might be associated with flow in a Chinese Han population,and that might result from altered arsenic metabolism.
