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Meng Wang,1,* Zheng Wang,2,* Xi-Jing Wang,1 Tian-Bo Jin,3 Zhi-Ming Dai,4 Hua-Feng Kang,1 Hai-Tao Guan,1 Xiao-Bin Ma,1 Xing-Han Liu,1 Zhi-Jun Dai1 1Department of Oncology, Second Affiliated Hospital of Xi’an Jiaotong University, 2Department of Medical Oncology, Xi’an Central Hospital, 3National Engineering Research Center for Miniaturized Detection Systems, School of Life Sciences, Northwest University, 4Department of Anesthesia, Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China *These authors contributed equally to this work Background: In recent years, studies have demonstrated that polymorphisms in the promoters of Fas and FasL are significantly associated with breast cancer risk. However, the results of these studies were inconsistent. This case–control study was performed to explore the associations between Fas rs1800682 and FasL rs763110 polymorphisms and breast cancer. Materials and methods: A hospital-based case–control study of 560 Han Chinese females with breast cancer (583 controls) was conducted. The MassARRAY system was used to search for a possible association between the disease risk and the two single nucleotide polymorphisms, Fas rs1800682 and FasL rs763110. Statistical analyses were performed using SNPStats software to conduct Pearson’s chi-square tests in five different genetic models. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated after adjustment to age and body mass index. PHASE v2.1 software was used to reconstruct all common haplotypes.Results: A statistically significant association was found between Fas rs1800682 and increased breast cancer risk (AG vs AA: OR =1.37, 95% CI =1.06–1.78; AA+AG vs GG: OR =1.32, 95% CI =1.04–1.66), and also it was found that the FasL rs763110 polymorphism may decrease the risk. Stratified analyses demonstrated that the rs763110 polymorphism was associated with lower breast cancer risk among postmenopausal females (heterozygote model: OR =0.69, 95% CI =0.49–0.97; dominant model: OR =0.70, 95% CI =0.51–0.96). The T allele of rs763110 was also associated with a decreased risk of lymph node metastasis (allele model: OR =0.75, 95% CI =0.57–0.97) and an increased risk of the breast cancer being human epidermal growth factor receptor 2 positive (allele model: OR =1.37, 95% CI =1.03–1.18). Moreover, haplotype analysis showed that Ars1800682Trs763110 was associated to a statistically significant degree with lower risk of breast cancer (OR =0.70, 95% CI =0.53–0.91). Conclusion: These data suggest that the presence of Fas rs1800683 is an important risk factor for breast cancer, whereas FasL rs763110 may exert a protective effect against the onset of breast cancer. Keywords: Fas, FasL, single nucleotide polymorphism, breast cancer, risk

Yipeng Ding,1,* Huan Niu,1,* Hua Yang,2 Pei Sun,1 Yu Chen,3 Mengling Duan,1 Dongchuan Xu,1 Junxue Xu,3 Tianbo Jin2,4 1Department of Emergency, People’s Hospital of Hainan Province, Haikou, Hainan, People’s Republic of China; 2School of Life Sciences, Northwest University, Xi’an, People’s Republic of China; 3Department of Respiration Emergency, The Third People’s Hospital of Haikou, Haikou, Hainan, People’s Republic of China; 4National Engineering Research Center for Miniaturized Detection Systems, Xi’an, People’s Republic of China *These authors contributed equally to this work Purpose: Chronic obstructive pulmonary disease (COPD) is a major and an increasingly prevalent health problem worldwide. It has been reported that genetic variation may play a role in the development and severity of COPD. The purpose of this study was to investigate whether single nucleotide polymorphisms in multiple genetic variants were associated with COPD in a Chinese population from Hainan province.Methods: In this case-control study, including 200 COPD patients and 401 controls, we genotyped 14 tag single nucleotide polymorphisms and evaluated their association with COPD using the Χ2 test and genetic model analysis.Results: The polymorphism, rs10007052, in the RNF150 gene was significantly associated with COPD risk at a 5% level (odds ratio =1.43, 95% confidence interval, 1.06–1.95, P=0.020). In the log-additive model, the minor allele (C) of rs10007052 in the RNF150 gene (P=0.026) and the minor allele (C) of rs3733829 in the EGLN2 gene (P=0.037) were associated with COPD risk after adjustment for age, sex, and smoking status. Further haplotype analysis revealed that the “CT” haplotype composed of the mutant allele (C) of rs7937, rs3733829 in the EGLN2 gene, was associated with increased COPD risk (odds ratio =1.55; 95% confidence interval, 1.05–2.31; P=0.029).Conclusion: Our findings indicated that rs10007052 in the RNF150 and rs3733829 in the EGLN2 gene were significantly associated with the risk of COPD in Chinese populations of Hainan province. These data may provide novel insights into the pathogenesis of COPD, although further studies with larger numbers of participants worldwide are needed for validation of our conclusions. Keywords: case-control studies, COPD, tag single-nucleotide polymorphism

Yipeng Ding,1,* Danlei Yang,2,* Xiaojie Xun,3 Zhifeng Wang,4 Pei Sun,1 Dongchuan Xu,1 Ping He,1 Huan Niu,1 Tianbo Jin3,5 1Department of Emergency, People’s Hospital of Hainan Province, Haikou, Hainan, People’s Republic of China; 2Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China; 3School of Life Sciences, Northwest University, Xi'an, People’s Republic of China; 4Department of Respiration, People’s Hospital of Qionghai, Qionghai, Hainan, People’s Republic of China; 5National Engineering Research Center for Miniaturized Detection Systems, Xi'an, People’s Republic of China *The authors are joint first authors Purpose: Chronic obstructive pulmonary disease (COPD) is predicted to become the third most common cause of death and the fifth most common cause of disability in the world by 2020. Recently, variants in the hypoxia-inducible factor 1α (HIF1A), cholinergic receptor, neuronal nicotinic, alpha polypeptide-5, and iron-responsive element-binding protein 2 gene (IREB2) genes were found to be associated with COPD. This study aims to identify whether the variations in these genes are related to COPD in the Hainan population of the People’s Republic of China. Patients and methods: We genotyped 12 single nucleotide polymorphisms in a case-control study with 200 COPD cases and 401 controls from Hainan, People’s Republic of China. Odds ratios and 95% confidence intervals were estimated using the chi-squared (Χ2) test, genetic model analysis, haplotype analysis, and stratification analysis. Results: In the genetic model analysis, we found that the genotype T/T of rs13180 of IREB2 decreased the COPD risk by 0.52-fold (P=0.025). But in the further stratification analysis, we failed to find the association between the selected single nucleotide polymorphisms with COPD risk in Han population. In addition, the haplotype analysis of HIF1A gene also was not found to be the possible haplotype associated with COPD risk. Conclusion: Our results support that IREB2 rs13180 is associated with COPD in Hainan population. And this is the first time the HIF1A polymorphisms in COPD in a Chinese population has been reported, although we failed to find any significant result. Keywords: single nucleotide polymorphism (SNP), IREB2, HIF1A

This study aimed to identify biomarkers of major depressive disorder (MDD), by relating neuroimage-derived measures to binary (MDD/control), ordinal (severe MDD/mild MDD/control), or continuous (depression severity) outcomes. To address MDD heterogeneity, factors (severity of psychic depression, motivation, anxiety, psychosis, and sleep disturbance) were also used as outcomes. A multisite, multimodal imaging (diffusion MRI [dMRI] and structural MRI [sMRI]) cohort (52 controls and 147 MDD patients) and several modeling techniques-penalized logistic regression, random forest, and support vector machine (SVM)-were used. An additional cohort (25 controls and 83 MDD patients) was used for validation. The optimally performing classifier (SVM) had a 26.0% misclassification rate (binary), 52.2 ± 1.69% accuracy (ordinal) and r = .36 correlation coefficient (p < .001, continuous). Using SVM, R 2 values for prediction of any MDD factors were <10%. Binary classification in the external data set resulted in 87.95% sensitivity and 32.00% specificity. Though observed classification rates are too low for clinical utility, four image-based features contributed to accuracy across all models and analyses-two dMRI-based measures (average fractional anisotropy in the right cuneus and left insula) and two sMRI-based measures (asymmetry in the volume of the pars triangularis and the cerebellum) and may serve as a priori regions for future analyses. The poor accuracy of classification and predictive results found here reflects current equivocal findings and sheds light on challenges of using these modalities for MDD biomarker identification. Further, this study suggests a paradigm (e.g., multiple classifier evaluation with external validation) for future studies to avoid nongeneralizable results., (© 2018 Wiley Periodicals, Inc.)

Genetic polymorphisms of MT2A are frequently observed in many different cancers. We performed this case-control study, including 459 breast cancer (BC) patients and 549 healthy controls from Northwest China, to evaluate the associations between two common MT2A polymorphisms (rs10636 and rs28366003) and BC risk. The MT2A polymorphisms were genotyped via Sequenom MassARRAY. The individuals with the rs28366003 A/G, A/G-G/G genotypes underwent a higher risk of BC (P<0.0001). And, the minor allele G of rs28366003 was related to an increased BC risk ( P <0.0001). We also found a significantly increased BC risk with rs10636 polymorphism among homozygote and recessive models ( P <0.05). Further subgroup analysis by clinical characteristics of BC patients showed that Scarff, Bloom and Richardson tumor grade (SBR) 1-2 have a higher expression of the minor allele of these two MT2A loci than SBR 3. Our results indicated that the rs10636 and rs28366003 polymorphisms in MT2A increased BC risk in Northwest Chinese Han population.

Inflammatory gene polymorphisms may be associated with glioma risk. The purpose of this study was to analyze effects of certain inflammatory gene and some clinical factors on patient survival.The clinical information of 269 glioma patients conceived operation from September 2010 to May 2014 to decide the 1-, 3-year survival rates according to follow-up results and analyze age, gender, the WHO classification, extent of surgical resection, radiotherapy and chemotherapy factors effects on prognosis. Survival distributions were estimated by using the Kaplan-Meier method and difference in the survival was tested using the log-rank test. To estimate the association between the IL4, IL13, IL10, IL4R SNPs, and PFS and OS in glioma, the HR and 95% CI were calculated by univariate Cox proportional hazards model. Multivariate Cox model were performed to compute adjusted HR and 95% CI. All data was analyzed with SPSS17.0 package. Extent of surgical resection, chemotherapy, and age are an important factor in glioma overall survival and progression-free survival overall. Extent of surgery and chemotherapy are important factors in astrocytoma overall survival. Univariate analysis showed that IL4R rs1801275 was significantly associated with overall survival of glioma and astrocytoma patients (P < 0.05). Multivariate Cox regression analysis showed that IL4R rs1801275 GG genotype could increase the death risk of glioma and astrocytoma patients (Glioma: hazard ratio [HR]: 4.897, 95% confidence limits [95% CI]: 1.962-12.222, P = 0.001; Astrocytoma: HR: 15.944, 95% CI: 4.019-63.253, P < 0.05).Our research results showed that extent of surgical resection, age, and chemotherapy affect the prognosis of glioma. The IL4R gene may affect the survival of glioma patients.

Background: In recent years, studies have demonstrated that polymorphisms in the promoters of Fas and FasL are significantly associated with breast cancer risk. However, the results of these studies were inconsistent. This case-control study was performed to explore the associations between Fas rs1800682 and FasL rs763110 polymorphisms and breast cancer., Materials and Methods: A hospital-based case-control study of 560 Han Chinese females with breast cancer (583 controls) was conducted. The MassARRAY system was used to search for a possible association between the disease risk and the two single nucleotide polymorphisms, Fas rs1800682 and FasL rs763110. Statistical analyses were performed using SNPStats software to conduct Pearson's chi-square tests in five different genetic models. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated after adjustment to age and body mass index. PHASE v2.1 software was used to reconstruct all common haplotypes., Results: A statistically significant association was found between Fas rs1800682 and increased breast cancer risk (AG vs AA: OR =1.37, 95% CI =1.06-1.78; AA+AG vs GG: OR =1.32, 95% CI =1.04-1.66), and also it was found that the FasL rs763110 polymorphism may decrease the risk. Stratified analyses demonstrated that the rs763110 polymorphism was associated with lower breast cancer risk among postmenopausal females (heterozygote model: OR =0.69, 95% CI =0.49-0.97; dominant model: OR =0.70, 95% CI =0.51-0.96). The T allele of rs763110 was also associated with a decreased risk of lymph node metastasis (allele model: OR =0.75, 95% CI =0.57-0.97) and an increased risk of the breast cancer being human epidermal growth factor receptor 2 positive (allele model: OR =1.37, 95% CI =1.03-1.18). Moreover, haplotype analysis showed that Ars1800682Trs763110 was associated to a statistically significant degree with lower risk of breast cancer (OR =0.70, 95% CI =0.53-0.91)., Conclusion: These data suggest that the presence of Fas rs1800683 is an important risk factor for breast cancer, whereas FasL rs763110 may exert a protective effect against the onset of breast cancer.

The Wnt signaling pathway plays a key role in insurgence and progression of many different forms of cancer. Some crucial components of the Wnt pathway have been proposed to be novel targets for cancer therapy. To date, the Wnt signaling pathway has not been studied in cutaneous squamous cell carcinoma (CSCC). This study was designed to investigate the expression of Wnt1 and SFRP1 from the Wnt pathway in CSCC. Tissue samples were obtained from 35 patients with CSCC and 30 controls admitted to the Xinjiang Uygur Autonomous Region People's Hospital at Urumchi City, China. Gene and protein expressions of Wnt1 and SFRP1 were quantified by immunohistochemistry and western blotting. Wnt1 expression was significantly higher (P < 0.05) in CSCC samples than in normal skin cells of the control subjects; in contrast, SFRP1 expression was significantly lower in CSCC tissues than that in tissues of control subjects (P < 0.05). Moreover, Wnt1 expression (P < 0.05) was found to be correlated with histopathological differentiation in CSCC, and negatively correlated with SFRP1 expression in CSCC (rs = -0.473, P = 0.015). Therefore, we concluded that Wnt1 and SFRP1 play important roles in the development of CSCC and could be potent markers for diagnosis, prevention, and therapy of CSCC.

Programmed death-1 (PD-1) is crucial in cancer and is well characterized as a negative T-cell regulator that functions by delivering inhibitory signals. We aimed to evaluate the relationship between PD-1 polymorphisms (rs10204525, rs2227982, and rs7421861) and breast cancer risk.We selected 560 breast cancer patients and 583 age-, sex-, and ethnicity-matched healthy controls from Northwest China. The PD-1 polymorphisms were genotyped by using Sequenom MassARRAY. Associations were estimated with odds ratios (ORs) and 95% confidence intervals (95% CIs).For the rs10204525 and rs7421861 polymorphisms, no differences in breast cancer risk were found in any of the genetic models. For the rs2227982 polymorphism, the variant genotypes were significantly associated with decreased breast cancer risk (CT vs CC: OR = 0.68, 95% CI = 0.52-0.91; CT + TT vs CC: OR = 0.69, 95% CI = 0.53-0.90). In analyses stratified by age, the decreased risk was observed among the younger subjects (OR = 0.68, 95% CI = 0.47-0.97). We found that the decreased risk observed for the variant genotypes of rs2227982 was associated with the Her-2 status (CT vs CC: OR = 0.55, 95% CI = 0.37-0.84; CT + TT vs CC: OR = 0.56, 95% CI = 0.38-0.82). The haplotype analysis showed that the Ars10204525 Trs2227982 Crs7421861 haplotype was associated with a significantly decreased risk of breast cancer (OR = 0.50, 95% CI = 0.34-0.75).Our findings support an association between the PD-1 rs2227982 polymorphism and decreased breast cancer risk, especially in Her-2 positive breast cancer patients in the Chinese population.

Gout is the most common form of inflammatory arthritis affecting men, and current evidence suggests that genetic factors contribute to its progression. As a previous study identified that WD40 repeat protein 1 (WDR1) is associated with gout in populations of European descent, we sought to investigate its relationship with this disease in the Han Chinese population. We genotyped six WDR1 single nucleotide polymorphisms in 143 gout cases and 310 controls using Sequenom MassARRAY technology. The SPSS 16.0 software was used to perform statistical analyses. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by unconditional logistic regression, with adjustments for age and gender. In an analysis using an allelic model, we identified that the minor alleles of rs3756230 (OR = 0.64, 95%CI = 0.450-0.911, P = 0.013) and rs12498927 (OR = 1.377, 95%CI = 1.037-1.831, P = 0.027) were associated with gout risk. In addition, we found that the "A/A" genotype of rs12498927 was associated with increased risk of gout under codominant (OR = 2.22, 95%CI = 1.12- 4.40, P = 0.042) and recessive models (OR = 2.24, 95%CI = 1.20-4.17, P = 0.012). We also determined the "A/G" genotype of rs12498927 to be significantly associated with higher urea levels in gout patients (P = 0.017). Our data shed new light on the association between genetic variations in the WDR1 gene and gout susceptibility in the Han Chinese population.

Due to their central role in essential physiological processes, potassium channels are common targets for animal toxins. These toxins in turn are of great value as tools for studying channel function and as lead compounds for drug development. Here, we used a direct toxin pull-down assay with immobilised KcsA potassium channel to isolate a novel KcsA-binding toxin (called Tx7335) from eastern green mamba snake (Dendroaspis angusticeps) venom. Sequencing of the toxin by Edman degradation and mass spectrometry revealed a 63 amino acid residue peptide with 4 disulphide bonds that belongs to the three-finger toxin family, but with a unique modification of its disulphide-bridge scaffold. The toxin induces a dose-dependent increase in both open probabilities and mean open times on KcsA in artificial bilayers. Thus, it unexpectedly behaves as a channel activator rather than an inhibitor. A charybdotoxin-sensitive mutant of KcsA exhibits similar susceptibility to Tx7335 as wild-type, indicating that the binding site for Tx7335 is distinct from that of canonical pore-blocker toxins. Based on the extracellular location of the toxin binding site (far away from the intracellular pH gate), we propose that Tx7335 increases potassium flow through KcsA by allosterically reducing inactivation of the channel.

Previous studies have shown that the PDK2 and ABCG2 genes play important roles in many aspects of gout development in European populations. However, a detailed genotype-phenotype analysis was not performed. The aim of the present study was to investigate the potential association between variants in these two genes and metabolism-related quantitative phenotypes relevant to gout in a Chinese Tibetan population. In total, 316 Chinese Tibetan gout patients were recruited from rheumatology outpatient clinics and 6 single nucleotide polymorphisms in PDK2 and ABCG2 were genotyped, which were possible etiologic variants as identified in the HapMap Chinese Han Beijing population. A significant difference in blood glucose levels was detected between different genotypes of rs2728109 (P = 0.005) in the PDK2 gene. We also detected a significant difference in the mean serum uric levels between different genotypes of rs3114018 (P = 0.004) in the ABCG2 gene. All P values remained significant after Bonferroni's correction for multiple testing. Our data demonstrate potential roles for PDK2 and ABCG2 polymorphisms in the metabolic phenotypes of Tibetan gout patients, which may provide new insights into the etiology of gout. Further studies are required to confirm these findings.

Metastasis-associated in colon cancer-1 (MACC1), a newly identified oncogene, is involved in angiogenesis, invasiveness, and metastasis in many cancers. Epidemiological studies have indicated the associations between MACC1 polymorphisms and cancer risk. However, the association between genetic polymorphisms in MACC1 and breast cancer (BC) was not clear. This study aimed to evaluate the relationship between MACC1 polymorphisms and BC risk.We genotyped 4 single-nucleotide polymorphisms (SNPs) in MACC1 (rs975263, rs1990172, rs3735615, rs4721888) to determine the haplotypes in 560 BC patients and 583 age-, sex-, and ethnicity-matched healthy individuals. Genotypes were determined using the Sequenom MassARRAY method. We estimated the odds ratios (ORs) and 95% confidence intervals (95% CIs) using the chi-square test.There were significant differences between patients and controls in the MACC1 rs975263 allelic (T vs C: OR = 0.76, 95% CI = 0.61-0.95, P = 0.014) and genotypic groups (TC vs TT: OR = 0.70, 95% CI = 0.54-0.92, P = 0.009; TC+CC vs TT: OR = 0.71, 95% CI = 0.55-0.92, P = 0.008). Analysis of clinical features demonstrated significant associations between rs975263 and Scarff-Bloom-Richardson (SBR) grade 3 cancer (P = 0.006) and postmenopausal women (P = 0.018). Compared with the rs4721888 CC genotype, the frequency of rs4721888 GC and GC+CC variants was higher in patients. Further analysis revealed that the variant genotypes were positively associated with lymph node metastasis. However, we failed to find any relationships between rs1990172 or rs3735615 polymorphism and BC risk. In addition, haplotype analysis indicated that the CTGG and CTCG haplotypes (rs975263, rs1990172, rs3735615, rs4721888) were significantly associated with decreased susceptibility to BC (P = 0.029 and 0.019 respectively).Our results suggest that rs975263 and rs4721888 polymorphisms in MACC1 are associated with the risk of BC susceptibility and may be involved in the progression of BC in Chinese women.

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., (Copyright © 2015 The Japanese Society for the Study of Xenobiotics. Published by Elsevier Ltd. All rights reserved.)

DNA polymerases are responsible for ensuring stability of the genome and avoiding genotoxicity caused by a variety of factors during DNA replication. Consequently, these proteins have been associated with an increased cancer risk. DNA polymerase kappa (POLK) is a specialized DNA polymerase involved in translesion DNA synthesis (TLS) that allows DNA synthesis over the damaged DNA. Recently, some studies investigated relationships between POLK polymorphisms and cancer risk, but the role of POLK genetic variants in breast cancer (BC) remains to be defined. In this study, we aimed to evaluate the effects of POLK polymorphisms on BC risk.We used the Sequenom MassARRAY method to genotype 3 single nucleotide polymorphisms (SNPs) in POLK (rs3213801, rs10077427, and rs5744533), in order to determine the genotypes of 560 BC patients and 583 controls. The association of genotypes and BC was assessed by computing the odds ratio (OR) and 95% confidence intervals (95% CIs) from logistic regression analyses.We found a statistically significant difference between patient and control groups in the POLK rs10077427 genotypic groups, excluding the recessive model. A positive correlation was also found between positive progesterone receptor (PR) status, higher Ki67 index, and rs10077427 polymorphism. For rs5744533 polymorphism, the codominant, dominant, and allele models frequencies were significantly higher in BC patients compared to healthy controls. Furthermore, our results indicated that rs5744533 SNP has a protective role in the postmenopausal women. However, we failed to find any associations between rs3213801 polymorphism and susceptibility to BC.Our results indicate that POLK polymorphisms may influence the risk of developing BC, and, because of this, may serve as a prognostic biomarker among Chinese women.

The association between the rs2230199 C>G single nucleotide polymorphism (SNP) in complement component 3 and age-related macular degeneration (AMD) risk has been examined extensively but the results are not consistent among studies. The aim of this study was to perform a meta-analysis of all available studies on this SNP in relation to AMD. The comprehensive databases of PubMed, Medline, Web of Knowledge, CNKI, and Google Scholar were searched for case-control studies investigating the association between the rs2230199 polymorphism and AMD susceptibility. ORs with 95%CIs were estimated to assess the association. Sensitivity analysis, test of heterogeneity, cumulative meta-analysis, and assessment of bias were also performed. A total of 15 published studies including 5593 cases and 5181 controls were used in this meta-analysis. Overall, the rs2230299 SNP was significantly associated with the risk of AMD in the overall population under the additive model (OR = 1.571, 95%CI = 1.414-1.745, P = 0.000), dominant model (OR = 1.681, 95%CI = 1.521-1.858, P = 0.000), and allelic model (OR = 1.597, 95%CI = 1.470-1.734, P = 0.000). In the subgroup analysis by ethnicity, the same results were found in Caucasian populations, while no significant correlations were found in Asian populations for all comparison models. In conclusion, our meta-analysis provides evidence that the rs2230199 polymorphism contributes to the development of AMD. Further large-scale multicenter epidemiological studies are warranted to confirm this finding.

Genetic polymorphisms of very important pharmacogenomic (VIP) variants are important for personalized medicine. However, these have not been extensively studied in the Tibetan population. In this study, 82 VIP variants were detected in the Tibetan and Han (HAN) populations from northwestern China. Subsequently, we compared the differences between the Tibetan population and ten populations, including the HAN, Japanese in Tokyo (JPT), Mexican ancestry in Los Angeles (MEX), Toscans in Italy (TSI), African ancestry in Southwest USA (ASW), Luhya in California Webuye, Kenya (LWK), Gujarati Indians in Houston, Texas (GIH), Maasai in Kinyawa, Kenya (MKK), Yoruba in Ibadan, Nigeria (YRI), and Utah residents with Northern and Western European ancestry from the CEPH collection (CEU). Using the χ(2) test, we identified differences in the frequency distribution of 4, 4, 7, 10, 11, 11, 13, 15, 19, and 20 loci in the Tibetan population, compared to the HAN, JPT, MEX, TSI, ASW, LWK, GIH, MKK, YRI, and CEU populations, respectively [P < 0.05/(82*10)]. rs2115819, rs9934438, and rs689466, located in the ALOX5 (arachidonate 5-lipoxygenase), VKORC1 (vitamin K epoxide reductase complex, subunit 1) and PTGS2 (prostaglandin-endoperoxide synthase 2) genes, respectively, in the Tibetan population were different from those in most of the populations. Our results complement the information provided by the database of pharmacogenomics on Tibetan people, and provide an avenue for personalized treatment in the Tibetan population.

Lung cancer is the most frequent cancer among men in many countries. It is the result of interactions between genetic and environmental factors, among which tobacco smoking is a key environmental factor. CHRNA5, Cholinergic Receptor, Neuronal Nicotinic, Alpha Polypeptide-5, was previously reported to be associated with lung cancer risk. To identify the genetic susceptibility and tobacco smoking that influence lung cancer risk in Han population, we performed a case-control study in 228 patients and 301 controls. These data were compared using the χ(2)-test, genetic model analysis, and haplotype analysis. rs495956, rs680244, rs601079, rs555018, 588765 and rs11637635 showed an increased risk of lung cancer in both allelic model and genetic mode analysis. The genotype G/A-A/A of rs11637635 was most strongly associated with a 2.17-fold increased risk of lung cancer in dominant model (p = 0.018). One SNP, rs684513, was associated with a 0.645-fold decreased risk (p = 0.033) in allelic model analysis. By haplotype association analysis, haplotype sequences CTTATCAAAGA and GA of CHRNA5 were found to be associated with a 2.03-fold and 1.91-fold increased lung cancer risk (p < 0.05). Our results, combined with those from previous studies, suggest that genetic variation in CHRNA5 may influence susceptibility to lung cancer among Han smokers.

In the last decade, many studies have used automated processes to analyze magnetic resonance imaging (MRI) data such as cortical thickness, which is one indicator of neuronal health. Due to the convenience of image processing software (e.g., FreeSurfer), standard practice is to rely on automated results without performing visual inspection of intermediate processing. In this work, structural MRIs of 40 healthy controls who were scanned twice were used to determine the test-retest reliability of FreeSurfer-derived cortical measures in four groups of subjects-those 25 that passed visual inspection (approved), those 15 that failed visual inspection (disapproved), a combined group, and a subset of 10 subjects (Travel) whose test and retest scans occurred at different sites. Test-retest correlation (TRC), intraclass correlation coefficient (ICC), and percent difference (PD) were used to measure the reliability in the Destrieux and Desikan-Killiany (DK) atlases. In the approved subjects, reliability of cortical thickness/surface area/volume (DK atlas only) were: TRC (0.82/0.88/0.88), ICC (0.81/0.87/0.88), PD (0.86/1.19/1.39), which represent a significant improvement over these measures when disapproved subjects are included. Travel subjects' results show that cortical thickness reliability is more sensitive to site differences than the cortical surface area and volume. To determine the effect of visual inspection on sample size required for studies of MRI-derived cortical thickness, the number of subjects required to show group differences was calculated. Significant differences observed across imaging sites, between visually approved/disapproved subjects, and across regions with different sizes suggest that these measures should be used with caution., (© 2015 Wiley Periodicals, Inc.)

Current evidence suggests that heredity and metabolic syndrome contribute to gout progression. SLC2A9 and ZNF518B may play a role in gout progression in different populations, but no studies have focused on the Tibetan Chinese population. In this study, we determined whether variations in these 2 genes were correlated with gout-related indices in Chinese-Tibetan gout patients. We detected 6 single nucleotide polymorphisms in SLC2A9 and ZNF518B in 319 Chinese Tibetan gout patients. One-way analysis of variance was used to evaluate the polymorphisms' effects on gout based on mean serum levels of metabolism indicators. Polymorphisms in SLC2A9 and ZNF518B affected multiple risk factors related to gout development. Significant differences in serum triglyceride levels and high-density lipoprotein-cholesterol level were detected between different genotypic groups with SLC2A9 polymorphisms rs13129697 (P = 0.022), rs4447863 (P = 0.018), and rs1014290 (P = 0.045). Similarly in ZNF518B, rs3217 (P = 0.016) and rs10016022 (P = 0.046) were associated with high creatinine and glucose levels, respectively. This study is the first to investigate and identify positive correlations between SLC2A9 and ZNF518B gene polymorphisms and metabolic indices in Tibetan gout patients. We found significant evidence indicating that genetic polymorphisms affect gout-related factors in Chinese Tibetan populations.

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.

Aim: To investigate the association between colorectal cancer (CRC) genetic susceptibility variants and esophageal cancer in a Chinese Han population., Methods: A case-control study was conducted including 360 esophageal cancer patients and 310 healthy controls. Thirty-one single-nucleotide polymorphisms (SNPs) associated with CRC risk from previous genome-wide association studies were analyzed. SNPs were genotyped using Sequenom Mass-ARRAY technology, and genotypic frequencies in controls were tested for departure from Hardy-Weinberg equilibrium using a Fisher's exact test. The allelic frequencies were compared between cases and controls using a χ(2) test. Associations between the SNPs and the risk of esophageal cancer were tested using various genetic models (codominant, dominant, recessive, overdominant, and additive). ORs and 95%CIs were calculated by unconditional logistic regression with adjustments for age and sex., Results: The minor alleles of rs1321311 and rs4444235 were associated with a 1.53-fold (95%CI: 1.15-2.06; P = 0.004) and 1.28-fold (95%CI: 1.03-1.60; P = 0.028) increased risk of esophageal cancer in the allelic model analysis, respectively. In the genetic model analysis, the C/C genotype of rs3802842 was associated with a reduced risk of esophageal cancer in the codominant model (OR = 0.52, 95%CI: 0.31-0.88; P = 0.033) and recessive model (OR = 0.55, 95%CI: 0.34-0.87; P = 0.010). The rs4939827 C/T-T/T genotype was associated with a 0.67-fold (95%CI: 0.46-0.98; P = 0.038) decreased esophageal cancer risk under the dominant model. In addition, rs6687758, rs1321311, and rs4444235 were associated with an increased risk. In particular, the T/T genotype of rs1321311 was associated with an 8.06-fold (95%CI: 1.96-33.07; P = 0.004) increased risk in the codominant model., Conclusion: These results provide evidence that known genetic variants associated with CRC risk confer risk for esophageal cancer, and may bring risk for other digestive system tumors.

Colorectal cancer (CRC) is a major health burden worldwide and is the second-leading cause of cancer-related death in Europe. CRC is a complex disease resulting from a series of genetic and epigenetic changes that lead to a stepwise progression from normal mucosa to dysplasia and finally to carcinoma. In this study, we present genetic association results between 25 tag single-nucleotide polymorphisms and CRC in a case-control study (203 cases, 296 controls) of a Han Chinese population. We found that rs1143634 in the interleukin-1β (IL1B) gene and rs1800871 in the interleukin-10 (IL10) gene were associated with increased risk for CRC in the Han Chinese. Further haplotype analysis revealed that the 'GAC' in the SMAD7 (mothers against decapentaplegic homolog 7) gene was found to increase CRC risk (odds ratio=1.48; 95% confidence interval, 1.09-2.01; P=0.012). Our results, combined with previous studies, suggest that IL10, PSCA, IL1B, and SMAD7 are significantly correlated with CRC susceptibility in the Han Chinese population.

Background: Possible associations between the single nucleotide polymorphism (SNP) rs8034191 in the aminoglycosidephosphotransferase domain containing 1 (AGPHD1) gene and lung cancer risk have been studied by many researchers but the results have been contradictory., Materials and Methods: A computerized search for publications on rs8034191 and lung cancer risk was performed. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the association between rs8034191 and lung cancer risk with 13 selected case-control studies. Sensitivity analysis, test of heterogeneity, cumulative meta-analysis, and assessment of bias were also performed., Results: A significant association between rs8034191 and lung cancer susceptibility was found using the dominant genetic model (OR=1.344, 95% CI: 1.285-1.406), the additive genetic model (OR=1.613, 95% CI: 1.503-1.730), and the recessive genetic model (OR=1.408, 95% CI: 1.319-1.503). Moreover, an increased lung cancer risk was found with all genetic models after stratification of ethnicity., Conclusions: The association between rs8034191 and lung cancer risk was significant using multiple genetic models, suggesting that rs8034191 is a risk factor for lung cancer. Further functional studies of this polymorphism and lung cancer risk are warranted.

Glioblastoma (GBM), a deadly brain tumor, is the most malignant glioma. It mainly occurs in adults and occurs significantly more in males than in females. We genotyped 19 tag single nucleotide polymorphisms (tSNPs) from 13 genes in a case-control study of the Han Chinese population to identify genetic factors contributing to the risk of GBM. These tSNPs were genotyped by Sequenom MassARRAY RS1000. Statistical analysis was performed using χ(2) test and SNPStats, a website software. Using χ(2) test, we found that the distribution of two tSNPs (rs2267130 in checkpoint kinase 2 (CHEK2), p = 0.040; rs1695 in GSTP1, p = 0.023) allelic frequencies had significant difference between cases and controls. When we analyzed all of the tSNPs using the SNPStats software, we found that rs1695 in GSTP1 decreased the risk of GBM in log-additive model (OR = 0.56, 95% CI, 0.34-0.94, p = 0.022). Besides, we found that there is an interaction between rs3212986 in excision repair cross-complementing group 1 (ERCC1) and gender under codominant and recessive models. The gene polymorphisms in CHEK2, GSTP1, and ERCC1 may be involved in GBM in the Han Chinese population. Since our sample size is small, further investigation needs to be performed.

Lung cancer is one of the most common malignant tumors that seriously threaten human health. Current evidence suggests that heredity contributes to the progression of lung cancer. To investigate and validate potential genetic associations with the risk of lung cancer, we conducted a case-control study including 309 cases and 310 controls from Xi'an City, which is located in northwest China, and genotyped six SNPs in five genes, which are related to metabolic process. Overall, our results show that the SNP rs10937405 was associated with a decreased occurrence of lung cancer (OR = 0.72; 95% CI = 0.56-0.92; p = 0.009). In the genetic models analysis, we found that genotype "CT" of rs10937405 in TP63 was associated with a decreased lung cancer risk (OR = 0.71; 95% CI, 0.51-0.99; p = 0.031); the genotype "TT" of rs10937405 showed a decreased lung cancer risk in the co-dominant model (OR = 0.53; 95% CI, 0.30-0.95; p = 0.031). The genotype "CT-TT" of rs10937405 also showed a decreased lung cancer risk in the dominant model (OR = 0.67; 95% CI, 0.49-0.92; p = 0.014) and the log-additive model (OR = 0.72; 95% CI, 0.56-0.92; p = 0.0085). The genotype "CC-CT" of rs10937405 confers a higher risk of lung cancer for males than females. Our results, combined with those from previous studies, suggest that genetic variation in TP63 may influence lung cancer susceptibility in the Han population.

Purpose: Several researchers have suggested that the rs4779584 (15q13.3) polymorphism is associated with an increased risk of developing colorectal cancer (CRC). However, past results remain inconclusive. We addressed this controversy by performing a meta-analysis of the relationship between rs4779584 of GREM1-SCG5 and colorectal cancer., Methods: We selected 12 case-control studies involving 11,769 cases of CRC and 14,328 healthy controls. The association between the rs4779584 polymorphism and CRC was examined by the overall odds ratio (OR) with a 95% confidence interval (CI). We used different genetic model analyses, sensitivity analyses, and assessments of bias in our meta-analysis., Results: GREM1-SCG5 rs4779584 polymorphisms were associated with CRC in all of the genetic models that were examined in this meta-analysis of 12 case-control studies., Conclusion: GREM1-SCG5 rs4779584 polymorphisms may increase the risk of developing colorectal cancer.

Aims: Alterations in mitochondrial DNA (mtDNA) have been implicated in carcinogenesis and tumor progression. We here evaluated the diagnostic and prognostic potential of mtDNA as a biomarker for breast cancer., Methods: Using multiplex real-time polymerase chain reaction, nuclear DNA (nDNA) and mtDNA levels in serum, buffy coat, tumor, and tumor-adjacent tissue samples from 50 breast cancer patients were determined and assessed for associations with clinicopathological features. To evaluate mtDNA as a biomarker for distinguishing between the four sample types, we created receiver operating characteristic (ROC) curves., Results: The mtDNA levels in buffy coat were significantly lower than in other sample types. Relative to tumor-adjacent tissue, reduced levels of mtDNA were identified in buffy coat and tumor tissue but not in serum. According to ROC curve analysis, mtDNA levels could be used to distinguish between buffy coat and tumor-adjacent tissue samples with good sensitivity (77%) and specificity (83%). Moreover, mtDNA levels in serum and tumor tissue were positively associated with cancer TMN stage., Conclusions: The mtDNA levels in blood samples may represent a promising, non-invasive biomarker in breast cancer patients. Additional, large-scale validation studies are required to establish the potential use of mtDNA levels in the early diagnosis and monitoring of breast cancer.

Background: The association between the RTEL1 rs6010620 single nucleotide polymorphism (SNP) and glioma risk has been extensively studied. However, the results remain inconclusive. To further examine this association, we performed a meta-analysis., Materials and Methods: A computerized search of the PubMed and Embase databases for publications regarding the RTEL1 rs6010620 polymorphism and glioma cancer risk was performed. Genotype data were analyzed in a meta-analysis. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated to assess the association. Sensitivity analyses, tests of heterogeneity, cumulative meta-analyses, and assessments of bias were performed in our meta-analysis., Results: Our meta-analysis confirmed that risk with allele A is lower than with allele G for glioma. The A allele of rs6010620 in RTEL1 decreased the risk of developing glioma in the 12 case-control studies for all genetic models: the allele model (OR=0.752, 95%CI: 0.715-0.792), the dominant model (OR=0.729, 95%CI: 0.685-0.776), the recessive model (OR=0.647, 95%CI: 0.569-0.734), the homozygote comparison (OR=0.528, 95%CI: 0.456-0.612), and the heterozygote comparison (OR=0.761, 95%CI: 0.713-0.812)., Conclusions: In all genetic models, the association between the RTEL1 rs6010620 polymorphism and glioma risk was significant. This meta-analysis suggests that the RTEL1 rs6010620 polymorphism may be a risk factor for glioma. Further functional studies evaluating this polymorphism and glioma risk are warranted.

Background: Glioblastoma (GBM) is an immunosuppressive tumor whose median survival time is only 12- 15 months, and patients with GBM have a uniformly poor prognosis. It is known that heredity contributes to formation of glioma, but there are few genetic studies concerning GBM., Materials and Methods: We genotyped six tagging SNPs (tSNP) in Han Chinese GBM and control patients. We used Microsoft Excel and SPSS 16.0 statistical package for statistical analysis and SNP Stats to test for associations between certain tSNPs and risk of GBM in five different models. ORs and 95%CIs were calculated for unconditional logistic-regression analysis with adjustment for age and gender. The SHEsis software platform was applied for analysis of linkage disequilibrium, haplotype construction, and genetic associations at polymorphism loci., Results: We found rs891835 in CCDC26 to be associated with GBM susceptibility at a level of p=0.009. The following genotypes of rs891835 were found to be associated with GBM risk in four different models of gene action: i) genotype GT (OR=2.26; 95%CI, 1.29-3.97; p=0.019) or GG (OR=1.33; 95%CI, 0.23-7.81; p=0.019) in the codominant model; ii) genotypes GT and GG (OR=2.18; 95%CI, 1.26-3.78; p=0.0061) in the dominant model; iii) GT (OR=2.24; 95%CI, 1.28-3.92; p=0.0053) in the overdominant model; iv) the allele G of rs891835 (OR=1.85; 95%CI, 1.14-3.00; p=0.015) in the additive model. In addition, "CG" and "CGGAG" were found by haplotype analysis to be associated with increased GBM risk. In contrast, genotype GG of CCDC26 rs6470745 was associated with decreased GBM risk (OR=0.34; 95%CI, 0.12-1.01; p=0.029) in the recessive model., Conclusions: Our results, combined with those from previous studies, suggest a potential genetic contribution of CCDC26 to GBM progression among Han Chinese.

Common variants of multiple genes play a role in glioma onset. However, research related to astrocytoma, the most common primary brain neoplasm, is rare. In this study, we chose 21 tagging SNPs (tSNPs), previously reported to be associated with glioma risk in a Chinese case-control study from Xi'an, China, and identified their contributions to astrocytoma susceptibility. We found an association with astrocytoma susceptibility for two tSNPs (rs6010620 and rs2853676) in two different genes: regulator of telomere elongation helicase 1 (RTEL1) and telomerase reverse transcriptase (TERT), respectively. We confirmed our results using recessive, dominant, and additive models. In the recessive model, we found two tSNPs (rs2297440 and rs6010620) associated with increased astrocytoma risk. In the dominant model, we found that rs2853676 was associated with increased astrocytoma risk. In the additive model, all three tSNPs (rs2297440, rs2853676, and rs6010620) were associated with increased astrocytoma risk. Our results demonstrate, for the first time, the potential roles of RTEL1 and TERT in astrocytoma development.

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.

The cytochrome P450 2D6 enzyme (CYP2D6) metabolizes about 25% of prescribed drugs in the endoplasmic reticulum, and genetic polymorphisms in CYP2D6 can greatly affect its activity and lead to differences among individuals in drug efficacy and adverse drug reactions. To investigate genetic polymorphisms in CYP2D6 among Tibetan Chinese, we directly sequenced the whole gene in 96 unrelated, healthy Tibetans from The Tibet Autonomous Region of China and screened for genetic variants in the promoter, exons, introns, and 3'UTR. We detected fifty-one genetic polymorphisms in CYP2D6, and 16 of them are novel. The allele frequencies of CYP2D6*1, *2, *5, *10, *41, and *49 were 0.25, 0.43, 0.02, 0.29, 0.02, and 0.01, respectively. The frequency of CYP2D6*10, a putative poor-metabolizer allele, was lower in our sample population compared with that in the Han Chinese population (p<0.001). In addition, haplotype analysis allowed 15 CYP2D6 haplotypes to be classified into three groups. In conclusion, our results provide basic information about CPY2D6 alleles in Tibetans and suggest that the enzymatic activities of CYP2D6 may differ among the diverse ethnic populations of China. Our results provide a basis for safer drug administration and better therapeutic treatment among Tibetans., (Copyright © 2013. Published by Elsevier B.V.)

Previous investigations indicated that histamine receptor H4 (HRH4) played important roles in many aspects of breast cancer pathogenesis, and that the polymorphisms of HRH4 gene may result in expression and functional changes of HRH4 proteins. However, the relationship between polymorphisms of HRH4 and breast cancer risk and malignant degree is unclear. In the present study, we conducted a case-control investigation among 185 Chinese Han breast cancer patients and 199 ethnicity-matched health controls. Four tag-SNPs (i.e. rs623590, rs16940762, rs11662595 and rs1421125) of HRH4 were genotyped and association analysis was performed. Odds ratios (ORs) with 95% confidence intervals (CI) were used to assess the association. We found that the T allele of rs623590 had a decreased risk of breast cancer (adjusted OR, 0.667; 95% CI, 0.486-0.913; P=0.012) while the A allele of rs1421125 had an increased risk (adjusted OR, 1.653; 95% CI, 1.139-2.397; P=0.008). Further haplotype analysis showed that the CAA haplotype of rs623590-rs11662595-rs1421125 was more frequent among patients with breast cancer (adjusted OR, 1.856; 95% CI, 1.236-2.787; P=0.003). Additionally, polymorphisms of rs623590 and rs11662595 were also correlated with clinical stages, lymph node involvement, and HER2 status. These findings indicated that the variants of rs623590, rs11662595 and rs1421125 genotypes of HRH4 gene were significantly associated with the risk and malignant degree of breast cancer in Chinese Han populations, which may provide us novel insight into the pathogenesis of breast cancer although further studies with larger participants worldwide are still needed for conclusion validation., (Copyright © 2013 Elsevier B.V. All rights reserved.)

Purpose: The purpose of this paper is to describe ophthalmic findings in a family with isolated ectopia lentis (EL) caused by a specific FBN1 mutation., Methods: Detailed family histories and clinical data were recorded for six isolated EL patients of 11 family members. The ophthalmological and systematic examinations were performed on patients and unaffected members of the investigated family. The detailed ocular examinations included visual acuity, anterior chamber depth, pupil size, lens location, optometry, central corneal thickness, keratometry, slitlamp examination, fundus examination, axial length, ocular B-ultrasound, gonioscope checking, ultrasound biomicroscopy (UBM) and intraocular pressure (IOP; Goldmann applanation tonometer). Systematic examinations included the measurement of echocardiogram, height, arm span, skull, face, jaw, tooth, breast bone, spinal column, and skin. Genomic DNA was extracted using the phenol-chloroform extraction method for all subjects, and sequencing was carried out on an ABI Prism 3730 Genetic Analyzer., Results: A heterozygous mutation, c.184C>T (p.Arg62Cys) in exon 2 of FBN1 was identified in all affected members but was not found in any unaffected member of the family. Our study presented detailed clinical manifestations, including some novel ophthalmic findings, such as pupillary abnormality, different types of glaucoma, and progressive hyperopia., Conclusions: Ophthalmic findings and the p.Arg62Cys mutation of FBN1 gene were reported in a family with early-onset isolated ectopia lentis.

Background: Gastric cancer is the fourth most common cancer in the world. Environmental and genetic factors both play critical roles in the etiology of gastric cancer. Hundreds of SNPs have been identified to have association with the risk of gastric cancer in many races. In this study, 25 SNPs in genes for IL-10, IL-1B, MTRR, TNF-а, PSCA, PLCE1 and NOC3L were analyzed to further evaluate their associations with gastric cancer susceptibility in the Chinese Han population., Methods: Two hundred and seventy nine gastric cancer patients and 296 healthy controls were recruited in this study. SNP genotyping was conducted using Sequenom MassARRAY RS1000. Data management and statistical analyses were conducted by Sequenom Typer 4.0 Software and Pearson's χ(2) test., Results: One protective allele and three risk alleles for gastric cancer patients were found in this study. The allele "G" of rs1801394 in MTRR showed an association with a decreased risk of gastric cancer: odds ratio (OR) = 0.74, 95% confidence interval (95% CI) = 0.57-0.97, P = 0.030 in the additive model; OR = 0.495, 95% CI = 0.26-0.95, P = 0.034 in the recessive model. The other three SNPs, the allele "C" of rs1800871 in IL10 (OR = 1.33, 95% CI = 1.04-1.90; P = 0.026 in the additive model; OR = 1.46, 95% CI = 1.04-2.06; P = 0.030 in the recessive model), the allele "A" of rs2976391 in PSCA (OR = 1.30, 95% CI = 1.01-1.66; P = 0.041 in the additive model and OR = 1.48, 95% CI = 1.04-2.11, P = 0.028 in the recessive model), and the allele "G" of rs17109928 in NOC3L gene (OR = 1.34, 95% CI = 1.01-1.78; P = 0.042 by additive model analysis; OR = 1.47, 95% CI = 1.04-2.07, P = 0.028 by dominant model analysis), showed an association with an increased risk of gastric cancer., Conclusions: These results indicate the importance of four gastric cancer susceptibility polymorphisms of IL-10, NOC3L, PSCA and MTRR in the Chinese Han population, which could be used in the determination of gastric cancer risk in clinical practice., (Crown Copyright © 2012. Published by Elsevier Ltd. All rights reserved.)

Background: Current evidence suggests that a majority of the inherited risks play a major role in glioma susceptibility, and glioma is due to the co-inheritance of multiple low-risk variants. These variants can be identified through association studies including such as genome-wide association studies (GWAS), which has led the glioma epidemiology researchers to focus on identifying potential disease-causing factors., Methods: We evaluated and validated 10 tag single nucleotide polymorphisms (tSNPs) in seven genes associated with glioma susceptibility in a Han Chinese population, including 301 glioma cases and 302 controls, using a multiplexed single nucleotide polymorphism (SNP) MassEXTEND assay. We ascertained the genotypic frequencies for each tSNP in control subjects were within Hardy-Weinberg equilibrium (HWE) using an exact test, and then compared the genotype and allele frequencies of glioma patients and control subjects using the χ2 test. We then applied three genetic models (dominant, recessive, and additive) using PLINK software to assess the association of each tSNP with glioma risk., Results: We identified two tSNPs to be associated with glioma susceptibility (rs1695, GSTP1, P = 0.019; rs2853676, TERT, P = 0.039), which we confirmed using dominant and additive model analyses. The genotype &ldquo;GA&rdquo; for rs1695 was recognized to be a protective genotype for glioma (OR, 0.67; 95% CI, 0.47-0.96; P = 0.027), while the genotype &ldquo;AG&rdquo; for rs2853676 was shown to be a risk genotype for glioma (OR, 1.50; 95% CI, 1.05-2.15; P = 0.025)., Conclusion: Our results, and those from previous studies, suggest potential genetic contributes for GSTP1 and TERT in glioma development., (Copyright © 2012 Elsevier Ltd. All rights reserved.)

Killer cell immunoglobulin-like receptors (KIRs), expressed in both natural killer (NK) cells and a subset of T cells, represent a family of both inhibitory and activating receptors that can regulate NK and T cells upon interacting with human leucocyte antigen (HLA) class I molecules on target cells. The number and distribution of KIR genes vary between individuals and populations from different geographical regions and ethnic origins. In this study, we investigated KIR gene frequencies and genotype diversities of 13 KIR genes, 2 pseudogenes, expressed and non-expressed forms of KIR2DL5 and the two subtypes, full-length and deleted forms, of KIR2DS4 in 100 unrelated healthy individuals of the Bai population, living in the Dali Bai autonomous prefecture in the Yunnan province. All individuals were typed positive for the three framework loci KIR3DL3, 2DL4 and 3DL2, as well as for three non-framework genes KIR2DL1, 2DL3 and the pseudogene KIR2DP1. The gene frequencies of the other KIR genes ranged from 7%-95%. The results of tested linkage disequilibrium (LD) among KIR genes demonstrated that they display a wide range of LD. χ² analysis among non-ubiquitous genes, using the KIR gene frequency data from our study population, as well as from previously published population data, was conducted and revealed significant differences in the KIR2DL1, 2DL2, 3DL1 and KIR2DS1 genes. The results of the present study can be valuable for enriching the Chinese ethnic gene information resources of the KIR gene pool, for anthropological studies, as well as for KIR-related disease research., (© 2011 The Authors. Scandinavian Journal of Immunology © 2011 Blackwell Publishing Ltd.)

Osteoporosis, the most prevalent metabolic bone disease among older people, increases risk for low trauma hip fractures (HF) that are associated with high morbidity and mortality. Hip bone size (BS) has been identified as one of the key measurable risk factors for HF. Although hip BS is highly genetically determined, genetic factors underlying the trait are still poorly defined. Here, we performed the first genome-wide association study (GWAS) of hip BS interrogating approximately 380,000 SNPs on the Affymetrix platform in 1,000 homogeneous unrelated Caucasian subjects, including 501 females and 499 males. We identified a gene, PLCL1 (phospholipase c-like 1), that had four SNPs associated with hip BS at, or approaching, a genome-wide significance level in our female subjects; the most significant SNP, rs7595412, achieved a p value of 3.72x10(-7). The gene's importance to hip BS was replicated using the Illumina genotyping platform in an independent UK cohort containing 1,216 Caucasian females. Two SNPs of the PLCL1 gene, rs892515 and rs9789480, surrounded by the four SNPs identified in our GWAS, achieved p values of 8.62x10(-3) and 2.44x10(-3), respectively, for association with hip BS. Imputation analyses on our GWAS and the UK samples further confirmed the replication signals; eight SNPs of the gene achieved combined imputed p values<10(-5) in the two samples. The PLCL1 gene's relevance to HF was also observed in a Chinese sample containing 403 females, including 266 with HF and 177 control subjects. A SNP of the PLCL1 gene, rs3771362 that is only approximately 0.6 kb apart from the most significant SNP detected in our GWAS (rs7595412), achieved a p value of 7.66x10(-3) (odds ratio = 0.26) for association with HF. Additional biological support for the role of PLCL1 in BS comes from previous demonstrations that the PLCL1 protein inhibits IP3 (inositol 1,4,5-trisphosphate)-mediated calcium signaling, an important pathway regulating mechanical sensing of bone cells. Our findings suggest that PLCL1 is a novel gene associated with variation in hip BS, and provide new insights into the pathogenesis of HF.

We studied the genetic polymorphism and haplotypes of ten short tandem repeats (STR) loci on the X chromosome in Yunnan Naxi population. Genotyping and detection of PCR products from the ten X-STRs were carried out on denaturing polyacrylamide gel electrophoresis followed by silver staining. The results revealed that among 98 males from Yunnan Naxi population, the number of alleles in the 10 loci (DXS7423, DXS7424, DXS6799, DXS7133, DXS6804, DXS8378, HPRTB, DXS7130, DXS7132 and DXS6789) were 4, 7, 6, 3, 6, 5, 5, 7, 6 and 8, respectively. Gene frequencies ranged from 0.0102 (DXS7132 and DXS6789) to 0.7347 (DXS7133). A total of 20 haplotypes were detected in DXS8378 and DXS7130 loci, and 56 haplotypes were detected in DXS6789, DXS6799 and DXS7424 loci. The haplotype diversity reached 0.8553 and 0.9649, respectively. In conclusion, the 10 X-STR loci are relatively abundant in polymorphic information for forensic identification, paternity testing and for genetic population studies.

Objective: To examine the genetic polymorphism of 9 STR loci in 5 ethnic groups (including Tu, Sala, Dongxiang, Baoan and Yugu) in Gansu and Qinghai, and to evaluate its application., Methods: Nine STR loci (D3S1358, FGA, TH01, D7S820, VWA, CSF1PO, D5S818, D13S317 and TPOX) were selected as genetic markers. With STR compound amplification and genescan methods, in which STR loci were marked by fluorescence, the genotype of 5 ethnic groups were examined in 606 unrelated individuals by ABI 377 sequencer. These parameters, such as polymorphism information content (PIC), heterozygosity (H), discrimination power (DP) and probability of paternity exclusion (PPE) were calculated., Results: The genotype frequencies of the 9 STR loci were in accordance with Hardy-Weinberg equilibrium. PIC was within 0.6054 - 0.8735, H was within 0.6158 - 0.8736, DP was within 0.7964 - 0.9691, and PPE was within 0.4610 - 0.8838. Cluster analysis based on allele frequencies in genesis showed Tu, Sala, Dongxiang and Baoan ethnic groups were very close, but Yugu was a little bit far. There were obvious gene exchanges among the populations in north and south of China., Conclusion: All the 9 STR loci are highly polymorphic in the 5 ethnic groups, which can be useful genetic markers in forensic medicine and population genetics.

Objective: To study the STR genetic structure of an Ewenki Ethnic minority Group of Inner Mongolia, and analyze the genetic relationship among Ewenki and other 14 groups., Methods: Genetic distribution for 9 STR loci (D3S1358, vWA, FGA, TH01, TPOX, CSF1PO, D5S818, D13S317, and D7S820) were determined based on gene scan marked by fluorescence. Principle component analysis was performed using SPSS., Results: Sixty-four alleles and 158 genotypes were observed in 90 unrelated Ewenki individuals. The corresponding gene frequency and genotype frequency was 0.0056 to 0.4722 and 0.0111 to 0.3, respectively. The expected and observed genotype frequency of the 9 STR loci were in accordance with the Hardy-Weinberg equilibrium (P>0.05). The principle component analysis showed that Ewenki clustered with groups of Mongolian and Tujue language branch., Conclusion: Nine of the STR genetic structure of an Ewenki Ethnic minority Group of Inner Mongolia were obtained. Those ethnic groups in subfamilies of Altaic language family clustered as their geographical location and those with close genetic relationships use similar language.

Objective: To study the short teadem repeat(STR) genetics structure of a Chinese Yunnan Yi racial group., Methods: Genetic distributions for nine STR loci were determined based on STR gene scan marked by fluorescence., Results: Sixty-nine alleles and 164 kinds of genotypes were detected and identified from 84 unrelated Yi racial individuals. The corresponding gene and genotype frequencies were in 0.0060-0.5060 or 0.0119-0.4167 respectively. The expected and observed genotype frequencies of nine STR loci were in accordance with the Hardy-Weinberg equilibrium(P>0.05). The statistical analyses of nine STR loci showed that PIC was distributed in 0.5804-0.8777, H was in 0.6507-0.8002, DP was in 0.7976-0.9558, EPP was in 0.5207-0.8386, except TPOX and THO1 loci., Conclusion: Above research data enrich the Chinese genetic database, and play an important role in Chinese genetic study and in forensic application.

Objective: To investigate the alleles and genotypes frequency of 10 short tandem repeat (STR) loci on the X chromosome(DXS7423, DXS8378, DXS6799, DXS7424, DXS7130, DXS7132, DXS6789, DXS101, DXS6804, DXS7133) of Tibetan individuals living in Xizang Autonomous Region, Southwest China., Methods: The 10 X-chromosomal STR loci were analyzed with PCR, followed by polyacylamide gel electrophoresis and silver staining., Results: Among unrelated Tibetan individuals, the numbers of alleles in the 10 X-STR loci(DXS7423, DXS8378, DXS6799, DXS7424, DXS7130, DXS7132, DXS6789, DXS101, DXS6804, DXS7133) were 5, 5, 5, 9, 7, 7, 11, 9, 5 and 4, respectively. The genotype frequencies in females were in accordance with Hardy-Weinberg equilibrium., Conclusion: The 10 X-chromosomal STRs loci are appropriate for individual identification, for paternity testing involving a female child, and for studies on related disease.

The genetic polymorphisms of 15 STR loci, namely D3S1358, D5S818, D7S820, D13S317, vWA, FGA, TH01, TPOX, CSF1PO, D16S539, D8S1179, D21S11, D18S51, D19S433 and D2S1338, were studied in 203 unrelated Han population from Shaanxi province using AmpF/STR Identifiler kit.

Objective: To determine the molecular genetic relationship of minorities and sub-population in Guangxi area., Methods: Six stable STRs (D3S1358, vWA, FGA, D5S818, D13S317 and D7S820) were selected as genetic markers. STR data of Zhuang (Yangshuo) and Yao(Wantian) were genotyped from blood samples by ABI377 sequencer. STR data of another 12 ethnic groups in Guangxi were collected from publications. Hardy-Weinberg equilibrium was evaluated and H, PIC, DP and PPE were computed. The genetic distances between different populations were calculated using Nei's method and clustering analysis was done by average linkage between the groups. We drew their phylogenetic tree using UPGMA., Results: The alleles of 6 STRs in the 15 populations of Guangxi conformed with Hardy-Weinberg equilibrium. H was distributed in 0.6482-0.9299; PIC in 0.5706-0.8662; DP in 0.8258-0.9706, and PPE in 0. 4215-0.9917. Genetic distance between Jing of Guangxi and Jing in Dongxing was minimum (0.0007) in the 15 populations, while genetic distance between Guangxi Gelao and Wantian Yao was maximal (0.2391). The phylogenetic tree was similar to the results of clustering analysis and all the 15 populations were clustered into 2 groups., Conclusion: The results indicate that the H, PIC, DP and PPE of 6 STRs in the 15 Guangxi populations are comparatively high. There is gene flow in some groups, but several minorities are relatively separated.

Genetic distribution for nine STR loci were determined in a Chinese Guangxi Zhuang national minority group based on STR gene scan marked by fluorescence. Sixty-two alleles and 169 genotypes were observed in 91 unrelated Zhuang individuals. The corresponding gene frequency and genotype frequency were 0.0054-0.5495 and 0.0110-0.3297 respectively. The expected and observed genotype frequency of nine STR loci was in accordance with the Hardy-Weinberg equilibrium (P > 0.05). The statistical analysis of nine STR loci showed PIC (polymorphic information content) > or = 0.6088, H (heterozygosity) > or = 0.6174, DP (discrimination power) > or = 0.8028, PPE (probability of paternity exclusion) > or = 0.8165. The genetic distance figured with 9 STR genetic data showed that there were significant differences between Chinese Zhuang national minority and the American White and the American Black, and there was little difference between Zhuang national minority and the Chinese Xi'an Han. The result of clusting showed that the present data were divided into three groups: the Black, the White and the Yellow (the Chinese).

In order to enrich the Chinese genetic database,nine polymorphic loci of STR,such as D3S1358,vWA,FGA,TH01,TPOX,CSF1PO,D5S818,D13S317 and D7S820 were studied. Based on STR gene scan marked by fluorescence,91 unrelated Chinese Chaoxian individuals were observed.81 alleles and 196 genotypes were found. The corresponding gene frequency and genotype frequency were 0.0055-0.4615 and 0.0110-0.9890 respectively. The genogypes frequency of nine STR loci was good with the Hardy-Weinberg equilibrium (P approximately 0.05). The statistical analysis of nine STR loci showed the following: PIC (polymorphic information content) >or=0.6863, H (heterozygosity) >or=0.6919, DP (discrimination power) >or=0.8301, EPP (probability of paternity exclusion) >or=0.8590. The data studied can be used in Chinese population genetic studies and forensic medicine applications.

Population genetic studies were performed in Chinese Han, Hui, Mongolian, Tibetan and Uygur. Allele frequency distributions were analyzed for ten loci, i.e., D3S1358, VWA, CSF1PO, FGA, THO1, TPOX, D5S818, D13S317 and D7S820 by GeneScan. The results showed that there were 60 STR alleles and 149 genotypes in Han; 63 STR alleles and 144 genotypes in Hui; 69 STR alleles and 173 genotypes in Mongolian; 77 STR alleles and 168 genotypes in Tibetan; 70 STR alleles and 148 genotypes in Uygur. Significant differences were identified among ethnic groups (African-American, US-Caucasian and Chinese-Oriental), but similarity was found among the five Chinese populations, and immunogenomics and pharmacogenomics studied in this report. These findings indicated that the nine STR loci and amelogenin locus were very useful for individual identification in forensic science.