Genetic heterogeneity of susceptibility gene in different ethnic populations: refining association study of PTPN22 for Graves' disease in a Chinese Han population

Association between short-term exposure to ambient particulate air pollution and biomarkers of oxidative stress: A meta-analysis

BACKGROUND

Exposure to ambient particulate air pollution contributes substantially to the mortality and morbidity due to cardiovascular diseases (CVD), respiratory diseases and neurodegenerative diseases. Several hypothetical mechanisms have been proposed to explain these associations, particularly oxidative stress. Malondialdehyde (MDA), 8-hydroxy-2'-deoxyguanosine (8-OHdG), and Superoxide Dismutase (SOD) are typical biomarkers of oxidative stress and have been frequently investigated. However, the association between exposure to ambient particulate matter (PM) and these biomarkers has not been well established.

OBJECTIVES

Evaluate the association between ambient particulate air pollution and biomarkers of oxidative stress based on existing epidemiological studies.

METHODS

A systematic literature search was conducted in databases of Science Direct, PubMed, Web of Science, and Scopus up to April 24, 2020 to summarize epidemiological studies reporting the association between exposure to ambient PM (PM_2.5, PM₁₀, or both) and biomarkers of oxidative stress, and a meta-analysis was performed for the associations reported in individual studies using a random-effect model.

RESULTS

This meta-analysis included 23 epidemiological studies (13 identified for 8-OHdG, 11 identified for MDA and 5 identified for SOD). A 10 μg/m³ increase in short-term exposure to ambient PM_2.5 was associated with pooled percent changes of 2.10% (95% CIs: -0.13%, 4.38%), 1.60% (95% CIs: 0.21%, 3.01%) and -0.61% (95% CIs: -1.92%, 0.72%) in 8-OHdG, MDA and SOD, respectively.

CONCLUSION

Short-term exposure to ambient PM_2.5 was associated with a significantly increased level of MDA, indicating that ambient particulate air pollution may contribute to increased oxidative stress.

PTPN22 Gene Polymorphisms in Pediatric Systemic Lupus Erythematosus

Objective: Pediatric systemic lupus erythematosus (PSLE) is a heterogeneous autoimmune disorder of unknown origin. PTPN22 gene polymorphisms have been associated with SLE in different populations. We investigated the associations of the rs2476601, rs1217414, rs33996649, rs1276457, and rs1310182 SNPs in the PTPN22 gene with PSLE. Materials and methods: 55 PSLE patients and 93 healthy controls were recruited. SNPs were genotyped by the real-time PCR allelic discrimination method. Results: We found that the PTPN22 polymorphisms rs1310182 A allele (p = 0.01, OR = 1.92 95% CI = 1.16-3.18), and rs1310182 AA genotype with (p < 0.001) and rs12760457 TT (p = 0.046) were associated with PSLE. No significant associations were found between other SNPs and PSLE. Conclusions: The PTPN22 rs1310182 A allele and rs1310182 AA genotype were associated with PSLE and may be a possible genetic marker for susceptibility to PSLE. However, further investigation would be required to elucidate the mechanistic role of this association.

Transethnic associations among immune-mediated diseases and single-nucleotide polymorphisms of the aryl hydrocarbon response gene ARNT and the PTPN22 immune regulatory gene

BACKGROUND

Because immune responses are sensitive to environmental changes that drive selection of genetic variants, we hypothesized that polymorphisms of some xenobiotic response and immune response genes may be associated with specific types of immune-mediated diseases (IMD), while others may be associated with IMD as a larger category regardless of specific phenotype or ethnicity.

OBJECTIVE

To examine transethnic gene-IMD associations for single nucleotide polymorphism (SNP) frequencies of prototypic xenobiotic response genes-aryl hydrocarbon receptor (AHR), AHR nuclear translocator (ARNT), AHR repressor (AHRR) - and a prototypic immune response gene, protein tyrosine phosphatase, non-receptor type 22 (PTPN22), in subjects from the Environmental Polymorphisms Registry (EPR).

METHODS

Subjects (n = 3731) were genotyped for 14 SNPs associated with functional variants of the AHR, ARNT, AHRR, and PTPN22 genes, and their frequencies were compared among African Americans (n = 1562), Caucasians (n = 1838), and Hispanics (n = 331) with previously reported data. Of those genotyped, 2015 EPR subjects completed a Health and Exposure survey. SNPs were assessed via PLINK for associations with IMD, which included those with autoimmune diseases, allergic disorders, asthma, or idiopathic pulmonary fibrosis. Transethnic meta-analyses were performed using METAL and MANTRA approaches.

RESULTS

ARNT SNP rs11204735 was significantly associated with autoimmune disease by transethnic meta-analyses using METAL (odds ratio, OR [95% confidence interval] = 1.29 [1.08-1.55]) and MANTRA (ORs ranged from 1.29 to 1.30), whereas ARNT SNP rs1889740 showed a significant association with autoimmune disease by METAL (OR = 1.25 [1.06-1.47]). For Caucasian females, PTPN22 SNP rs2476601 was significantly associated with autoimmune disease by allelic association tests (OR = 1.99, [1.30-3.04]). In Caucasians and Caucasian males, PTPN22 SNP rs3811021 was significantly associated with IMD (OR = 1.39 [1.12-1.72] and 1.50 [1.12-2.02], respectively) and allergic disease (OR = 1.39 [1.12-1.71], and 1.62 [1.19-2.20], respectively). In the transethnic meta-analysis, PTPN22 SNP rs3811021 was significantly implicated in IMD by METAL (OR = 1.31 [1.10-1.56]), and both METAL and MANTRA suggested that rs3811021 was associated with IMD and allergic disease in males across all three ethnic groups (IMD METAL OR = 1.50 [1.15-1.95]; IMD MANTRA ORs ranged from 1.47 to 1.50; allergic disease METAL OR = 1.58 [1.20-2.08]; allergic disease MANTRA ORs ranged from 1.55 to 1.59).

CONCLUSIONS

Some xenobiotic and immune response gene polymorphisms were shown here, for the first time, to have associations across a broad spectrum of IMD and ethnicities. Our findings also suggest a role for ARNT in the development of autoimmune diseases, implicating environmental factors metabolized by this pathway in pathogenesis. Further studies are needed to confirm these data, assess the implications of these findings, define gene-environment interactions, and explore the mechanisms leading to these increasingly prevalent disorders.

A Weighted Genetic Risk Score Using Known Susceptibility Variants to Predict Graves Disease Risk

CONTEXT

Graves disease (GD) is a common thyroid-specific autoimmune disease and one of the most heritable diseases in the population. We present a risk-prediction model, including confirmed, known genetic variants associated with GD.

DESIGN

To construct a stable-prediction model, we used known GD susceptibility single nucleotide polymorphisms (SNPs) as markers and trained and tested our model in a cohort of 4897 patients with GD and 5098 healthy controls. We weighted the contribution of each SNP to the disease to calculate the weighted genetic risk score (wGRS) for each individual. The efficiency of this model can be estimated by the area under the curve (AUC) receiver operator characteristic curve and the specificity and sensitivity of each wGRS.

RESULTS

With the 20 confirmed GD risk-related SNPs, our wGRS-prediction model could predict patients with GD from the general population (AUC 0.70 [95% CI: 0.69 to 0.71]) and did especially well in predicting patients with GD with persisting thyroid-stimulating hormone receptor antibody positive [pTRAb+; AUC 0.74 (95% CI: 0.72 to 0.76)]. We also evaluated how the four pTRAb+ specific risk SNPs predicted patients with GD with pTRAb+ among all patients with GD [AUC 0.62 (95% CI: 0.61 to 0.63)]. For clinical use, we partitioned subjects in each set into different risk categories to generate the wGRS cutoff of high risk for reference.

CONCLUSIONS

Our study provides an approach to predict GD risk in the general population by the calculation of the wGRS of 20 known GD susceptibility variants. The wGRS-prediction model was more stable and convenient, whereas the prediction performance was still modest.

A dense mapping study of six European AITD susceptibility regions in a large Chinese Han Cohort of Graves' disease

OBJECTIVE

We aimed to investigate the six susceptibility loci of GD identified from European population in Chinese Han population and further to estimate the genetic heterogeneity of them in stratification of our GD patients.

DESIGN

Dense mapping studies based on GWAS.

PATIENTS

A total of 1536 GD patients and 1516 controls in GWAS stage and 1994 GD patients and 2085 controls and 5033 GD patients and 5389 controls in two replication stages.

MEASUREMENTS

Based on our previous GWAS data, independently GD-associated SNPs in each region were identified by TagSNP analysis and logistic regression analysis. The association of these SNPs was investigated in 1994 GD patients and 2085 controls, and then, the significantly associated SNPs (P < 0.05) were further genotyped in a second cohort including 5033 GD patients and 5389 controls.

RESULTS

After the first replication stage, four SNPs from three regions with P_first  < 0.05 were further selected and genotyped in another independent cohort. The association of two SNPs with GD was confirmed in combined Chinese cohorts: rs12575636 at 11q21 (P_combined  = 7.55 × 10^-11 , OR = 1.27) and rs1881145 in TRIB2 at 2p25.1 (P_combined  = 5.59 × 10^-8 , OR = 1.14). Further study disclosed no significant difference for these SNPs between GD subsets. However, eQTL data revealed that SESN3 could be a potential susceptibility gene of GD in 11q21 region.

CONCLUSIONS

Out of the six susceptibility loci of GD identified from European population, two risk loci were confirmed in a large Chinese Han population. There is variability in GD genetic susceptibility in different ethnic groups. SESN3 is a potential susceptible gene of GD in 11q21.

Involvement of poly(ADP-ribose) polymerase-1 in Chinese patients with glioma: a potential target for effective patient care

OBJECTIVE

We aimed to evaluate the genetic variation of poly(ADP-ribose) polymerase-1 (PARP-1) in the development of gliomas among Chinese individuals.

MATERIALS AND METHODS

Patients with a confirmed diagnosis of glioma and healthy individuals with no clinical symptoms of glioma were enrolled at Liaocheng People's Hospital, China. Genetic polymorphisms were studied in plasma samples by polymerase chain reaction-restriction fragment length polymorphism assay. Cytokine levels were measured routinely in serum samples by sandwich ELISA technique.

RESULTS

A total of 120 Chinese patients with gliomas and 120 healthy Chinese individuals were included. We found that patients with the GG genotype (odds ratio [OR] 2.53, 95% confidence interval [CI] 1.46-4.38, p<0.001) and carriers of the G allele (OR 11.5, 95% CI 6.31-21.3, p<0.0001) were at high risk of developing glioma. A del/ins polymorphism of the NF-κB1 gene (OR 4.27, 95% CI 2.43-7.50, p<0.001) was also found to be associated with glioma. In addition, significantly increased cytokine levels were observed in patients with glioma (p<0.05).

CONCLUSIONS

Our findings showed that PARP-1 polymorphisms are involved in the development of glioma in Chinese individuals. Also serum cytokine levels can be considered among the potential risk factors for developing glioma.

Poly (ADP-ribose) polymerase-1 (PARP-1) in Chinese patients with Graves’ disease and Graves’ ophthalmopathy

We aimed to evaluate the genetic variation of poly (ADP-ribose) polymerase-1 (PARP-1) as risk factor in development of Graves’ disease (GD) and Graves’ ophthalmopathy (GO) among Chinese individuals. Patients with confirmed diagnosis of GD or healthy individuals with no clinical symptoms of hyperthyroiditis were enrolled at the Department of Ophthalmology, Tianjin First Center Hospital, China. Genetic polymorphism was studied in plasma DNA samples of subjects by polymerase chain reaction of restriction fragment length polymorphism to confirm our hypothesis. Cytokine levels were measured routinely on serum samples of subjects by sandwich ELISA technique. Patients with GG genotype (odds ratio (OR) 95% CI = 2.25 (1.35–3.73), p = 0.002) and carriers of G allele (OR = 2.03 (1.23–3.36), p = 0.006) were at high risk of developing ophthalmopathy. Polymorphism of del/ins of nuclear factor-κB1 gene (NFkB1) gene (OR = 7.1 (2.88–17.52), p < 0.0001) and PARP-1 C410T polymorphism was found to be associated with GO (p < 0.05). Cytokine level was significantly higher in patients with GD (p < 0.05), but no significant change in cytokines level among GO patients from baseline (p > 0.05). Our study results recommended that polymorphism of PARP-1 gene is more likely responsible for development of GD in Chinese individuals. We also observed that the polymorphism of gene-related del/ins to NFkB1 in development of GO.

Transethnic differences in GWAS signals: A simulation study

Genome-wide association studies (GWASs) have allowed researchers to identify thousands of single nucleotide polymorphisms (SNPs) and other variants associated with particular complex traits. Previous studies have reported differences in the strength and even the direction of GWAS signals across different populations. These differences could be due to a combination of (1) lack of power, (2) allele frequency differences, (3) linkage disequilibrium (LD) differences, and (4) true differences in causal variant effect sizes. To determine whether properties (1)-(3) on their own might be sufficient to explain the patterns previously noted in strong GWAS signals, we simulated case-control data of European, Asian and African ancestry, applying realistic allele frequencies and LD from 1000 Genomes data but enforcing equal causal effect sizes across populations. Much of the observed differences in strong GWAS signals could indeed be accounted for by allele frequency and LD differences, enhanced by the Euro-centric SNP bias and lower SNP coverage found in older GWAS panels. While we cannot rule out a role for true transethnic effect size differences, our results suggest that strong causal effects may be largely shared among human populations, motivating the use of transethnic data for fine-mapping.

Association of PTPN22 Single Nucleotide Polymorphisms with Celiac Disease

OBJECTIVES

Celiac disease is a chronic autoimmune disease in which gene-environment interactions cause the immune system to unfavorably react to naturally gluten-containing foods. PTPN22 plays a crucial role in regulating the function of various cells of the immune system, particularly T cells. Polymorphisms of the PTPN22 gene have been associated with many autoimmune diseases. The present genetic association study was conducted to investigate the possible associations between PTPNTT single nucleotide polymorphisms (SNPs) and celiac disease in an Iranian population.

MATERIALS AND METHODS

The study population consisted of 45 patients with celiac disease and 93 healthy controls. The study genotyped five SNPs of the PTPN22 gene: rs12760457, rs1310182, rs1217414, rs33996649, and rs2476601.

RESULTS AND CONCLUSIONS

Control and patient groups did not differ on the genotype distribution of four of five investigated SNPs in the PTPN22 gene, for example, rs12760457, rs2476601, rs1217414, and rs33996649. The only investigated PTPN22 variant, which could be associated with CD, was rs1310182. A significant increase in the carriage of the T allele of rs1310182 in CD patients was observed (OR (95% CI) = 11.42 (5.41, 24.1), p value < 0.0001). The TT genotype of this SNP was significantly associated with celiac disease. Our study suggests that the rs1310182 SNP of PTPN22 gene may be a predisposing factor of celiac disease in the Iranian population. Further studies are required to investigate the issue in other racial and ethnic subgroups.

RNASET2, GPR174, and PTPN22 gene polymorphisms are related to the risk of liver damage associated with the hyperthyroidism in patients with Graves' disease

OBJECTIVES

This study was designed to unveil the association of GPR174 rs3827440, PTPN22 rs3789604, and RNASET2 rs9355610 with the onset of liver damage (LD) among the Graves' disease (GD) patients.

METHODS

A total of 120 GD patients were divided into the none-LD and LD groups. Several indicators were detected for assessing liver functions, and genotypes of single nucleotide polymorphisms (SNPs) were identified. Logistic regression was introduced for investigating the relationship between risk SNPs and LD-associated hyperthyroidism in GD patients.

RESULTS

Significant differences were identified between LD and none-LD groups regarding genotype distributions of rs3827440, rs3789604, and rs9355610. Results from logistic regression indicted that among the GD patients, C carriers of PTPN22 rs3789604 were associated with a higher risk of LD-associated hyperthyroidism, while C carriers of rs3827440 (GPR174) and G carriers of rs9355610 (RNASET2) were associated with a reduced risk of LD-associated hyperthyroidism.

CONCLUSIONS

The C allele of rs3789604 (PTPN22) was a significant risk factor for LD-associated hyperthyroidism in GD patients, whereas C allele of GPR174 rs3827440 and G allele of RNASET2 rs9355610 appeared to be a protective factor for this disease.

The PTPN22 R263Q polymorphism confers protection against systemic lupus erythematosus and rheumatoid arthritis, while PTPN22 R620W confers susceptibility to Graves' disease in a Mexican population

OBJECTIVE

The functional PTPN22 R620W polymorphism (rs2476601) is clearly associated with susceptibility to several autoimmune diseases (ADs). However, the PTPN22 R263Q polymorphism (rs33996649) has been scarcely explored in different ADs. Here we aimed to examine the associations of the PTPN22 R620W and R263Q polymorphisms with susceptibility to or protection against rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and Graves' disease (GD) among Mexican patients.

METHODS

We conducted a case-control study including 876 patients (405 with SLE, 388 with RA, and 83 with GD) and 336 healthy control individuals. PTPN22 genotypes were determined using the TaqMan 5' allele discrimination assay.

RESULTS

PTPN22 R620W was associated with GD susceptibility (OR 4.3, p = 0.004), but was not associated with SLE (OR 1.8, p = 0.19). We previously demonstrated that this polymorphism is associated with RA susceptibility (OR 4.17, p = 0.00036). Moreover, PTPN22 R263Q was associated with protection against SLE (OR 0.09, p = 004) and RA (OR 0.28, p = 0.045), but was not associated with GD.

CONCLUSIONS

Our data provide the first demonstration that PTPN22 R620W confers GD susceptibility among Latin-American patients. Moreover, this is the second report documenting the association of PTPN22 R263Q with protection against SLE and RA.

Telomere structure and maintenance gene variants and risk of five cancer types

Telomeres cap chromosome ends, protecting them from degradation, double-strand breaks, and end-to-end fusions. Telomeres are maintained by telomerase, a reverse transcriptase encoded by TERT, and an RNA template encoded by TERC. Loci in the TERT and adjoining CLPTM1L region are associated with risk of multiple cancers. We therefore investigated associations between variants in 22 telomere structure and maintenance gene regions and colorectal, breast, prostate, ovarian, and lung cancer risk. We performed subset-based meta-analyses of 204,993 directly-measured and imputed SNPs among 61,851 cancer cases and 74,457 controls of European descent. Independent associations for SNP minor alleles were identified using sequential conditional analysis (with gene-level p value cutoffs ≤3.08 × 10-5 ). Of the thirteen independent SNPs observed to be associated with cancer risk, novel findings were observed for seven loci. Across the DCLRE1B region, rs974494 and rs12144215 were inversely associated with prostate and lung cancers, and colorectal, breast, and prostate cancers, respectively. Across the TERC region, rs75316749 was positively associated with colorectal, breast, ovarian, and lung cancers. Across the DCLRE1B region, rs974404 and rs12144215 were inversely associated with prostate and lung cancers, and colorectal, breast, and prostate cancers, respectively. Near POT1, rs116895242 was inversely associated with colorectal, ovarian, and lung cancers, and RTEL1 rs34978822 was inversely associated with prostate and lung cancers. The complex association patterns in telomere-related genes across cancer types may provide insight into mechanisms through which telomere dysfunction in different tissues influences cancer risk.