Weighted gene co-expression network analysis to explore the mechanism of heroin addiction in human nucleus accumbens.

Heroin dependence is a complex behavioral disease, and a chronic encephalopathy with the important feature of relapse. The purpose of the study was to identify the regulatory mechanism of the nucleus accumbens (NAc) in heroin dependence. We used weighted gene co-expression network analysis to analyze the GSE87823 data package, which included 27 heroin users and 22 controls of human NAc tissue. Modules were correlated with basic information of samples and enrichment analyses used to identify biological function and transcription factors and online tools were used to perform the gene ontology of significant genes. We identified one gene module from the total data (blue) and the male data (turquoise), respectively. The overlap genes of top 10 hub genes in significant modules (PRR11, SLC35E1, LPP, ZNF721, ZNF611, LRRFIP1) were selected to identify as candidate genes in the regulation mechanism of NAc in heroin dependence. Then, we accorded the results to further explore that miRNA-hsa-miR-155-5p in male and total may be a potential marker. The candidate genes may serve as novel prognostic markers and treatment targets. Hsa-miR-155-5p may be a promising regulatory point for the treatment of heroin addiction.

microRNA-422a Inhibits DCC Expression in a Manner Dependent on SNP rs12607853.

DCC netrin 1 receptor (DCC) affects the structure and function of the dopamine circuitry, which in turn affects the susceptibility to developing addiction. In a previous study, we found that single nucleotide polymorphism (SNP) rs12607853 in the 3' untranslated region (3'-UTR) of DCC was significantly associated with heroin addiction. In the current study, we first used bioinformatics prediction to identify the DCC rs12607853 C allele as a potential hsa-miR-422a and hsa-miR-378c target site. We then used vector construction and dual-luciferase reporter assays to investigate the targeting relationship of DCC rs12607853 with hsa-miR-422a and hsa-miR-378c. The dual-luciferase reporter gene assay confirmed that the C allele of rs12607853 in combination with hsa-miR-422a led to repressed dual-luciferase gene expression. Moreover, gene expression assays disclosed that hsa-miR-422a inhibited DCC expression at both the mRNA and protein levels. We also found that morphine inhibited the expression of hsa-miR-422a but increased the expression of DCC mRNA, and this change in the expression of hsa-miR-422a could not be reversed by naloxone, which suggested that the role of DCC in opioid addiction might be regulated by hsa-miR-422a. In summary, this study improves our understanding of the role of hsa-miR-422a and identifies the genetic basis of rs12607853, which might contribute to the discovery of new biomarkers or therapeutic targets for opioid addiction.

Association studies of dopamine synthesis and metabolism genes with multiple phenotypes of heroin dependence.

BACKGROUND: Heroin dependence is a complex disease with multiple phenotypes. Classification of heroin users into more homogeneous subgroups on the basis of these phenotypes could help to identify the involved genetic factors and precise treatments. This study aimed to identify the association between genetic polymorphisms of DA synthesis and metabolism genes, including tyrosine hydroxylase (TH), DOPA decarboxylase (DDC), solute carrier family 6 member 3 (SLC6A3) and DA beta-hydroxylase (DBH), with six important phenotypes of heroin dependence. METHODS: A total of 801 heroin dependent patients were recruited and fourteen potential functional single nucleotide polymorphisms (SNPs) were genotyped by SNaPshot. Associations between SNPs with six phenotypes were mainly assessed by binary logistic regression. Generalized multifactor dimensionality reduction was used to analyze the gene-by-gene and gene-by-environment interactions. RESULTS: We found that DBH rs1611114 TT genotype had a protective effect on memory impairment after heroin dependence (P = 0.002, OR = 0.610). We also found that the income-rs12666409-rs129915-rs1611114 interaction yielded the highest testing balance accuracy and cross-validation consistency for memory change after heroin dependence. CONCLUSIONS: Our results suggest that the memory change after heroin dependence was a result of a combination of genetics and environment. This finding could lead to a better understanding of heroin dependence and further improve personalized treatment.

Genetic polymorphisms of pharmacogenomic VIP variants in the Mongol of Northwestern China.

BACKGROUND: Within a population, the differences of pharmacogenomic variant frequencies may produce diversities in drug efficacy, safety, and the risk associated with adverse drug reactions. With the development of pharmacogenomics, widespread genetic research on drug metabolism has been conducted on major populations, but less is known about minorities. RESULTS: In this study, we recruited 100 unrelated, healthy Mongol adults from Xinjiang and genotyped 85 VIP variants from the PharmGKB database. We compared our data with eleven populations listed in 1000 genomes project and HapMap database. We used χ(2) tests to identify significantly different loci between these populations. We downloaded SNP allele frequencies from the ALlele FREquency Database to observe the global genetic variation distribution for these specific loci. And then we used Structure software to perform the genetic structure analysis of 12 populations. CONCLUSIONS: Our results demonstrated that different polymorphic allele frequencies exist between different nationalities,and indicated Mongol is most similar to Chinese populations, followed by JPT. This information on the Mongol population complements the existing pharmacogenomic data and provides a theoretical basis for screening and therapy in the different ethnic groups within Xinjiang.

Genetic polymorphism analysis of the drug-metabolizing enzyme CYP1A2 in a Uyghur Chinese population: a pilot study.

1. CYP1A2 is a highly polymorphic gene and CYP1A2 enzyme results in broad inter-individual variability in response to certain pharmacotherapies, while little is known about the genetic variation of CYP1A2 in Uyghur Chinese population. The aim of the present study was to screen Uyghur volunteers for CYP1A2 genetic polymorphisms. 2. We used DNA sequencing to investigate promoter, exons, introns, and 3' UTR of the CYP1A2 gene in 96 unrelated healthy Uyghur individuals. We also used SIFT (Sorting Intolerant From Tolerant) and PolyPhen-2 (Polymorphism Phenotyping v2) to predict the protein function of the novel non-synonymous mutation in CYP1A2 coding regions. 3. We identified 20 different CYP1A2 polymorphisms in the Uyghur Chinese population, including two novel variants (119A > G and 2410G > A). Variant 119A > G was predicted to be probably damaging on protein function by PolyPhen-2, by contrast, 2410G > A was identified as benign. The allele frequencies of CYP1A2*1A, *1B, *1F, *1G, *1J, *1M, *4, and *9 were 23.4%, 53.1%, 3.7%, 2.6%, 2.6%, 13.5%, 0.5%, and 0.5%, respectively. The frequency of *1F, a putative high inducibility allele, was higher in our sample population compared with that in the Caucasian population (p < 0.05). The most common genotype combinations were *1A/*1B (46.9%) and *1B/*1M (27.1%). 4. Our results provide basic information on CYP1A2 polymorphisms in Uyghur individuals and suggest that the enzymatic activities of CYP1A2 may differ among the diverse ethnic populations of the world.

Genetic polymorphism of pharmacogenomic VIP variants in the Deng people from the Himalayas in Southeast Tibet.

Little is known about polymorphic distribution of pharmacogenes among ethnicities, including the Deng people. In this study, we recruited 100 unrelated, healthy Deng people and genotyped them with respect to 76 different single-nucleotide polymorphisms by the PharmGKB database. Our results first indicated that the polymorphic distribution of pharmacogenes of the Deng people is most similar to CHD, suggesting that Deng people have a closest genetic relationship with CHD. Our data will enrich the database of pharmacogenomics and provide a theoretical basis for safer drug administration and individualized treatment plans, promoting the development of personalized medicine.

Genetic polymorphism of pharmacogenomic VIP variants in the Deng people from the Himalayas in Southeast Tibet.

Little is known about polymorphic distribution of pharmacogenes among ethnicities, including the Deng people. In this study, we recruited 100 unrelated, healthy Deng people and genotyped them with respect to 76 different single-nucleotide polymorphisms by the PharmGKB database. Our results first indicated that the polymorphic distribution of pharmacogenes of the Deng people is most similar to CHD, suggesting that Deng people have a closest genetic relationship with CHD. Our data will enrich the database of pharmacogenomics and provide a theoretical basis for safer drug administration and individualized treatment plans, promoting the development of personalized medicine.

Genetic variations in the CLNK gene and ZNF518B gene are associated with gout in case-control sample sets.

A genome-wide association study of gout in European populations identified 12 genetic variants strongly associated with risk of gout, but it is unknown whether these variants are also associated with gout risk in Chinese populations. A total of 145 patients with gout and 310 healthy control patients were recruited for a case-control association study. Twelve SNPs of CLNK and ZNF518B gene were genotyped, and association analysis was performed. Odds ratios (ORs) with 95 % confidence intervals (CIs) were used to assess the association. Overall, we found four risk alleles for gout in patients: the allele "G" of rs2041215 and rs1686947 in the CLNK gene by dominant model (OR 1.66; 95 % CI 1.04-2.63; p = 0.031) (OR 2.19; 95 % CI 1.38-3.46; p = 0.001) and additive model (OR 1.39; 95 % CI 1.00-1.93; p = 0.049) (OR 1.67; 95 % CI 1.19-2.32; p = 0.003), respectively, and the allele "A" of rs10938799 and rs10016022 in ZNF518B gene by recessive model (OR 4.66; 95 % CI 1.44-15.09; p = 0.008) (OR 4.54; 95 % CI 1.23-16.76; p = 0.020). Further haplotype analysis showed that the TCATTCTGA haplotype of CLNK was more frequent among patients with gout (adjusted OR 0.48; 95 % CI 0.24-0.95; p = 0.036). Additionally, polymorphisms of rs2041215, rs10938799, and rs17467273 were also correlated with clinical pathological parameters. This study provides evidence for gout susceptibility genes, CLNK and ZNF518B, in a Chinese population, which may have potential as diagnostic and prognostic marker for gout patients.

Polymorphisms of telomere-length related genes in three China ethnic groups.

Little is known about polymorphic distribution of telomere-length related genes among ethnicities, which play important roles in the progression of high-altitude pulmonary edema (HAPE). We genotyped 45 single nucleotide polymorphism (SNP) in 300 unrelated healthy volunteers from the following three Chinese ethnic populations: Han (n = 100), Tibetan (n = 100) and Sherpa (n = 100). We used χ2 test, pairwise FST values, and structure clustering analyses to investigate the genetic differences between these populations. Our results first indicated that rs12615793 (ACYP2), rs10936599 (TERC), rs10069690 (TERT) and rs6010620, rs4809324 (RTEL1) showed the greatest number of significant differences between Han and Tibetan, Sherpa and 11 HapMap populations. Meanwhile, we found that rs1056654 and rs1056629 (MPHOSPH6), rs2320615 (NAF1), rs6010621 (RTEL1), rs8105767 and rs2188972 (ZNF208) genotype frequencies showed considerable divergence among Tibetan and Sherpa. Besides, pairwise FST values and structure clustering analyses revealed that Han exhibited a close genetic affinity with CHD and CHB, but revealed a great genetic heterogeneity with YRI and MKK. This work greatly expanded our understanding of the distribution of telomere-length related genes in Chinese populations and may be helpful to forensic applications and population genetic studies.

Association between alcohol-induced osteonecrosis of femoral head and risk variants of MMPS in Han population based on a case-control study.

The study aimed to evaluate the association between MMP gene superfamily and alcohol-induced osteonecrosis of femoral head (alcohol-induced ONFH) risk given its high prevalence, poor therapeutic effect, and serious clinical prognosis. 308 subjects (mean age, 49.47 years; males, 64.0%) who participated in our control group and 300 alcohol-induced ONFH patients (mean age, 43.29 years; males, 99.7%) formed the case group was enrolled to estimate by statistical analysis. We selected 23 single nucleotide polymorphisms (SNPs) from MMPs, and performed the chi-squared test, Fisher's exact test, t-test and genetic model analyses. From the result, rs243849 which located in MMP2 were 1.355 (1.014-1.811), 1.34 (1.01-1.78) in allele model and log-addictive model, respectively. And the p-value of rs243849 in Cochran-Armitage trend test is 0.044. Unfortunately, the similar results of these SNPs were not observed when adjusted by gender and age. Our study is not enough to supply a positive result to benefit for alcohol-induced ONFH clinical prevention, but guide out a new direction for further experiment.

A case-control study of the association between the EGFR gene and glioma risk in a Chinese Han population.

The Epidermal Growth Factor Receptor gene has been reported to be involved in the progression of gliomas which is one of the deadliest primary brain tumors in humans. To determine potential association between EGFR and glioma risk, we performed a case-control study with 394 glioma patients and 298 cancer-free controls in which captured a total of 8 tag single nucleotide polymorphisms of EGFR gene from Xi'an, China. SPSS 19.0 statistical packages, χ2 test, genetic model analysis and SHEsis software platform were analyzed s the variants in EGFR gene associations with glioma risk. For five different inheritance models analyzed, the following genotypes were associated with increased glioma risk. In the codominant model, genotype CC (rs730437, OR = 1.93, p = 0.024; rs1468727, OR = 2.02, p = 0.007); In the dominant model, genotype CA and CC (rs730437, OR = 1.45, p = 0.026), genotype GA and AA (rs845552, OR = 1.40, p = 0.044); In the recessive model, genotype CC (rs730437, OR = 1.64, p = 0.026; rs1468727, OR = 1.87, p = 0.002); In the additive model, genotype CC (rs730437, OR = 1.32, p = 0.006; rs1468727, OR = 1.39, p = 0.005), genotype GG (rs11506105, OR = 1.32, p = 0.02) and genotype AA (rs845552, OR = 1.27, p = 0.04). Our study indicated that 8 mutants located in EGFR gene were risk-conferring factors, larger and different populations with EGFR polymorphisms are required to verify these associations.

Investigation of the major cytochrome P450 1A2 genetic variant in a healthy Tibetan population in China.

The cytochrome P450 (CYP) 1A2 gene is involved in the metabolism of several carcinogens and clinically important drugs, generating a high potential for pharmacokinetic interactions. Since no data are available for Tibetan aborigines, the present study aimed to investigate the distribution of variant CYP1A2 alleles in a population living in Tibetan region of China. Genotyping analyses of CYP1A2 were conducted in 96 unrelated, healthy volunteers of Tibetan ancestry using direct sequencing assays. A total of 14 different CYP1A2 polymorphisms, including two novel variants (1690G>A and 2896C>T) in the intron region and a novel non­synonymous one (795G>C, Gln265His) were detected. CYP1A2*1A (6.77%), CYP1A2*1B (58.33%) and CYP1A2*1F (14.58%) were the most frequent defective alleles identified in the sample. The frequencies of the prevalent genotypes CYP1A2*1A/*1B, *1B/*1B, *1B/*1F were 13.54%, 16.67% and 29.17%, respectively. In addition, the novel non­synonymous variant 795G>C (Gln265His) was predicted to be benign by PolyPhen­2 and SIFT tools. The present study provides useful information on the pattern of CYP1A2 polymorphisms in Chinese Tibetan population. The current results may have potential benefits for the development of personalized medicine in the Tibetan population.

Genetic analysis of drug metabolizing phase-I enzymes CYP3A4 in Tibetan populations.

The enzymatic activity of CYP3A4 results in broad interindividual variability in response to certain pharmacotherapies. The present study aimed to screen Tibetan volunteers for CYP3A4 genetic polymorphisms. Previous research has focussed on Han Chinese patients, while little is known about the genetic variation of CYP3A4 in the Tibetan populations. Here, we adopted DNA sequencing to investigate the promoter, exons and surrounding introns, and 3'-untranslated region of the CYP3A4 gene in 96 unrelated healthy Tibetan individuals.We identified 20 different CYP3A4 polymorphisms in the Tibetan population, including two novel variants (21824 A>G and 15580 G>C). In addition, we also determined the allele frequencies of CYP3A4*1A and CYP3A4*1H were 82.29% and 28.13%, respectively. CYP3A4*1P and *1G were relatively rare with frequencies of only 1.04% and 0.52%, respectively. Our results provide information on CYP3A4 polymorphisms in Tibetan individuals which may help to optimize pharmacotherapy effectiveness by providing personalized medicine to this ethnic group.

Association between serum periostin concentrations and outcome after acute spontaneous intracerebral hemorrhage.

BACKGROUND: Higher serum periostin concentrations are associated with mortality after head trauma. We further determined the relationship between periostin concentrations, severity, and clinical outcome in patients with intracerebral hemorrhage (ICH). METHODS: We prospectively included 128 controls and 128 consecutive patients with acute ICH within the first 24h after onset. At admission, we measured serum periostin concentrations. RESULTS: Serum periostin concentrations were significantly higher in the patients than in the controls. Serum periostin concentrations were positively related to National Institutes of Health Stroke Scale (NIHSS) score (r=0.526) and hematoma volume (r=0.586). An unfavorable outcome (defined as modified Rankin scale >2) was observed in 65 (50.8%) patients. Serum periostin [odds ratio (OR), 1.008; 95% confidence interval (CI), 1.002-1.013], NIHSS score (OR, 1.462; 95% CI, 1.209-1.767), hematoma volume (OR, 1.134; 95% CI, 1.047-1.227) and age (OR, 1.060; 95% CI, 1.015-1.108) emerged as independent predictors for 6-month unfavorable outcome. In terms of ROC AUC, serum periostin concentrations had significantly higher predictive value compared with age and showed similar predictive value compared with NIHSS score and hematoma volume. CONCLUSIONS: High concentrations of serum periostin in acute ICH patients are associated with increasing severity and a poor functional prognosis.

Genotype­phenotype analysis of CYP2C19 in the Tibetan population and its potential clinical implications in drug therapy.

Cytochrome P450 2C19 (CYP2C19) is a highly polymorphic gene, it codes for a protein responsible for the metabolism of multiple clinically important therapeutic agents. However, there is currently no available data on the distribution of CYP2C19 mutant alleles in the Tibetan population. The aim of the present study was to identify different CYP2C19 mutant alleles and determine their frequencies, along with genotypic frequencies, in the Tibetan population. The whole CYP2C19 gene was amplified and sequenced in 96 unrelated, healthy Tibetans from the Tibet Autonomous Region of China, the promoter region, exons, introns and the 3'­UTR were screened for genetic variants. Three novel genetic polymorphisms in CYP2C19 were detected among a total of 27 different mutations. The allele frequencies of CYP2C19*1A, *1B, *2A, *3A and *17 were 50, 28.13, 15.10, 5.21 and 1.56%, respectively. The most common genotype combinations were CYP2C19*1A/*1B (56.25%) and *1A/*2A (30.21%). One novel non­synonymous mutation (Asn to Lys) in CYP2C19 was identified, and this mutation was predicted to be intolerant and benign by SIFT and PolyPhen­2, respectively. The observations of the present study may have important clinical implications for the use of medications metabolized by CYP2C19 among Tibetans.

Genetic polymorphisms study of pharmacogenomic VIP variants in Han ethnic of China's Shaanxi province.

BACKGROUND: Multiple factors include genetic and non-genetic interactions induce to different drug response among different individuals. Lots of researches proved that different frequencies of genetic variants exists different ethnic groups. The aim of this study was to screen Han volunteers in Shaanxi for VIP gene polymorphisms. MATERIALS AND METHODS: We genotyped 80 Very Important Pharmacogenes (VIP) (selected from the PharmGKB database) in 192 unrelated, healthy Han ethnic adults from Shaanxi, the northwest of China, and then analyzed genotyping data wtih Structure and F-statistics (Fst) analysis. RESULTS: We compared our data with 15 other populations (Deng, Kyrgyz, Tajik, Uygur and 11 HapMap populations), and found the frequency distribution of Han population in Shaanxi is most similar with CHB. Also, Structure and Fst showed that Shaanxi Han has a closest genetic background with CHB. CONCLUSIONS: Our study have supplemented the Han Chinese data related to pharmacogenomics and illustrated differences in genotypic frequencies of selected VIP variants' among the Han population and 15 other populations.

The population genetics of pharmacogenomics VIP variants in the Sherpa population.

Polymorphic distributions of pharmacogenes among some ethnicities are under-represented in current pharmacogenetic research. Particularly, there is a paucity of pharmacogenetic information in the Sherpa population in Tibet. We used the Sequenom MassARRAY single nucleotide polymorphism (SNP) genotyping technology to detect 86 very important pharmacogene (VIP) variants in Sherpas and compared the genotypic frequencies of these variants with HapMap populations. Overall, 59 of the 60 previously reported variants in the HapMap populations were found in our study. We found minimal differences between populations of Sherpas and Chinese Han in Beijing (CHB), Chinese in Metropolitan Denver, Colorado (CHD), Japanese in Tokyo, Japan (JPT), and Mexicans in Los Angeles, California (MEX) after a strict Bonferroni correction. Only 8, 4, 5, 4 VIP genotypes, respectively, were different in these groups. Additionally, pairwise FST values and clustering analyses showed that the VIP variants in the Sherpa population exhibited a close genetic affinity with the CHB and JPT populations, but they were most similar to the CHD population. Our results contribute to a better understanding of the molecular basis underlying ethnic differences in drug response, which may potentially benefit the development of personalized medicine for the Sherpa population.

Association of the miR-17-5p variants with susceptibility to cervical cancer in a Chinese population.

MicroRNAs (miRNAs) are key regulators of gene expression; however, the extent to which single nucleotide polymorphisms (SNPs) interfere with miRNA gene regulation and affect cervical cancer (CC) susceptibility remains largely unknown. Here, we systematically analyzed miRNA-related SNPs and their association with CC risk, and performed a case-control study of miR-17-5p SNPs and CC risk in a Chinese population. Sixteen SNPs were genotyped in 247 CC cases and 285 controls. Three were associated with CC risk (p < 0.05): the minor allele (A) of rs217727 in H19 increased risk (OR = 1.53, p = 0.002), while the minor alleles (T) of rs9931702 and (T) of rs9302648 in AKTIP decreased CC risk (p = 0.018, p = 0.014). Analysis of the SNPs after stratification based on CC clinical stage and subtype revealed that rs1048512, rs6659346, rs217727, rs9931702, and rs9302648 were associated with CC risk in clinical stages I-II; rs2862833, rs2732044, rs1030389, and rs1045935 were associated with CC risk in clinical stages III-IV; and rs217727, rs9931702, and rs9302648 were associated with CC risk in squamous carcinomas. These data could serve as a useful resource for understanding the miR-17 function, identification of miRNAs associated with CC, and development of better CC screening strategies.

Genetic polymorphism analysis of the drug-metabolizing enzyme CYP2C9 in a Chinese Tibetan population.

OBJECTIVES: The enzymatic activity of CYP2C9 results in broad inter-individual variability in response to certain pharmacotherapies. The present study aimed to screen Tibetan volunteers for CYP2C9 genetic polymorphisms. Previous research has focused on Han Chinese patients, while little is known about the genetic variation of CYP2C9 in Tibetan populations. METHODS: We used DNA sequencing to investigate the promoter, exons and surrounding introns, and 3'-untranslated region of the CYP2C9 gene in 96 unrelated healthy Tibetan individuals. RESULTS: We identified 26 different CYP2C9 polymorphisms in the Tibetan population, including two novel variants detected in exon 9 (50193G>A and 50197G>C). In addition, we determined the allele frequencies of CYP2C9*1 and *3 were 93.75% and 5.73%, respectively. The rare CYP2C9*55 allele was also found in 0.52% of the study population. CONCLUSIONS: Our results provide information on CYP2C9 polymorphisms in Tibetan individuals, which may help to optimize pharmacotherapy effectiveness by providing personalized medicine to this ethnic group.

Association of polymorphisms in FLT3, EGFR, ALOX5, and NEIL3 with glioblastoma in the Han Chinese population.

Glioblastoma (GBM) is the highest-grade glioma in astrocytoma. Patients often have poor prognosis due to therapeutic resistance and tumor recurrence. Identification of the genetic factors of GBM could be important contribution to early prevention of this disease. We genotyped 17 tag single-nucleotide polymorphisms (tSNPs) from nine genes in this study, including 72 cases and 302 controls. SNP genotyping was conducted using Sequenom MassARRAY RS1000. Statistical analysis of the association between tSNPs and GBM was performed using the χ (2) test and SNPStats software. The rs3829382 in FLT3 was associated with increased odds of developing GBM using the χ (2) test. When we analyzed tSNPs under different inheritance models, we found rs9642393 in EGFR increased odds of developing GBM in the dominant model. After stratification by gender, we found that rs12645561 in NEIL3 and rs2291427 in ALOX5 were associated with developing GBM. Polymorphisms within FLT3, EGFR, NEIL3, and ALOX5 may contribute to the occurrence of GBM in the Han Chinese population. However, the functional significance of these polymorphisms needs further investigation.