Gene Association Study Of Thought Disorder Factors In Patients With Severe Mental Disorders

Objectives Genome Wide Association Study(GWAS)and biostatistical methods were used to explore common single nucleotide polymorphisms(Single Nucleotide Polymorphs,SNPs)associated with thinking disorder factors,In an attempt to identify the same differences between different mental disorders.Mental symptoms provide a possible genetic theoretical basis,and lay a biological experimental basis for improving the etiology of mental disorders and the diagnosis and differential diagnosis of diseases.Methods The subjects of this study were 601 patients with severe mental disorders(schizophrenia,bipolar disorder,schizoaffective disorder,paranoid mental disorder)from Inner Mongolia Autonomous Region The psychiatric inpatient department of the third hospital(mental health center),the diagnostic criteria for the above diseases are in line with the International Classification of Diseases 10 th edition(International Classification of Diseases 10,ICD-10).With the informed consent of the patients,peripheral venous blood was collected,and genomic DNA was extracted using the QIAamp DNA blood mini-kit,and the BPRs scale was used to evaluate the thinking disorder factors of the patients.Concept disorder,exaggeration,and unusual thinking content with a score > 1 point),two groups without thinking disorder factors(concept disorder,exaggeration,and unusual thinking content score = 1 point for each item).The common SNPs of the patients in the group were genotyped.Calculate whether the genotype frequency distribution conforms to the Hardy –Weinberg equilibrium law.The kinship and association analysis is done using the plink software,using the assoc option,and then using the chi-square test to screen out the significantly correlated loci with the thinking disorder factor.The threshold of the chi-square test is 10-5,taking the screened significant related sites as independent variables,perform linear regression analysis on each item in the factor of thinking disorder,and obtain the variation sites related to each item in the factor of thinking disorder.Results This study included 480 patients with thinking disorders(including 407 with schizophrenia,71 with bipolar disorder,and 2 with other diagnoses),110 cases without thinking disorder(including 96 cases of schizophrenia,13 cases of bipolar disorder,and 1 case of other diagnoses),There was no significant difference in age,gender,ethnicity,educational level,marital status and occupation between the two groups(P>0.05).This study obtained 18 SNPs associated with conceptual disorder(P<0.05),of which 10 were significantly associated with SNPs(P<0.01),and 12 had clear loci;this study obtained 32 SNPs associated with exaggeration(P<0.05),of which 14 were significantly associated with SNPs(P< 0.01),and21 had clear loci;this study obtained 14 SNPs associated with unusual thinking content(P<0.05),of which 3 were significantly associated of SNPs(P<0.01),8 with clear loci.Conclusions This study found SNPs that were significantly associated with thinking disorder factors in patients with severe mental disorders within the range of common SNPs in the whole genome.The patients carried significantly associated SNPs,which increased the possibility of thinking disorders.This study provides relevant biological markers for the etiological diagnosis of thinking disorders,provides a genetic theoretical basis for the existence of the same psychiatric symptoms among different mental disorders,and predicts mental disorders at the genetic level in the future.The treatment lays the foundation for the experiment.