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BACKGROUND/AIMS: Schizophrenia is a severe psychiatric disorder, and complement 3 (C3) is closely related to schizophrenia. We investigated the association between C3 polymorphisms and schizophrenia in a Northeast Han Chinese population. METHODS: A total of 2240 Chinese people, consisting of 1086 patients with schizophrenia and 1154 healthy controls, were recruited for this study. Ten single nucleotide polymorphisms (SNPs; rs11569562, rs344555, rs2241393, rs2241392, rs11569514, rs445750, rs451760, rs11672613, rs2230205, and rs2250656) in C3 were selected and genotyped. RESULTS: Genotype distribution analysis indicated that rs11569514 was significantly associated with schizophrenia. In the dominant model (AA vs. GG+GA genotypes), we found a significant protective effect for rs344555 against schizophrenia (odds ratio [OR]: 0.72, 95% confidence interval [CI]: 0.53-0.99, P = 0.04). In the codominant model (TT vs. AA), we found a significant risk effect for rs11569514 on schizophrenia (OR: 4.39, 95% CI: 2.06-9.37, P < 0.001). Haplotypes, including TG (rs11569562 and rs344555), TGG (rs11569562-rs344555-rs2241393), AG (rs344555-rs2241393), CGGGT (rs11569562-rs344555-rs2241393-rs2241392-rs11569514), and ACGTG (rs11569514-rs445750-rs451760-rs11672613-rs2230205), showed either a risk or protective role for schizophrenia. CONCLUSIONS: SNP rs11569514 in C3 and haplotypes of C3 variants were associated with schizophrenia in a Han Chinese population.

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BACKGROUND: The current overweight and obesity guidelines based on the Westerners are not consistent with many studies based on the Asians. The guidelines may be different because of regional diversity. This study aimed to determine the appropriate body mass index (BMI) and waist-hip ratio (WHR) cutoff points in the adults of Northeast China. METHODS: Overall, 21206 adults were selected from Jilin Province Adult Chronic Disease and Risk Factor Survey conducted in 2012. A representative sample was collected in the Jilin Province of northeast China by a multistage stratified random cluster sampling design. The age of participants was from 20 to 79 yr old. The test items were clustered by risk factors, and receiver operating characteristic (ROC) curves were computed to analyze. RESULTS: Under different risk factors, BMI cutoff points were affected greatly. Especially for diabetes, the cutoff value was apparently larger than others were. WHR increased with age in both genders. From a general view, male WHR was slightly larger than female. In the male, WHR cutoff point was near 0.88 with a tiny change, as for in the female was near 0.86. CONCLUSION: The cutoff values of sensitivity and specificity are relatively good and false positives rate is relatively low. BMI cutoffs values of overweight and obesity are 24.5 kg/m2 and 29.0 kg/m2, WHR cutoff values of the male are 0.88, the female is 0.86.

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Our previous studies using the mass spectrum analysis provided evidence that fibrinopeptide A (FPA) could be a potential biomarker for schizophrenia diagnosis. We sought further to demonstrate that variants in the fibrinogen alpha chain gene (FGA) coded FPA might confer vulnerability to schizophrenia. 1,145 patients with schizophrenia and 1,016 healthy volunteers from the Han population in Northeast China were recruited. The association of three tag single nucleotide polymorphisms (SNPs) (rs2070011 in the 5'UTR, rs2070016 in intron 4, and rs2070022 in the 3'UTR) in FGA and schizophrenia was examined using a case-control study design. Genotypic distributions of these three SNPs were not found to be significantly different between cases and controls (rs2070011: χ2 = 1.28, P = 0.528; rs2070016: χ2 = 4.11, P = 0.128; rs2070022: χ2 = 1.23, P = 0.541). There were also no significant differences in SNP allelic frequencies between cases and controls (all P > 0.05). Additionally, the frequency of haplotypes consisting of alleles of these three SNPs was not significantly different between cases and healthy control subjects (global χ2 = 9.27, P = 0.159). Our study did not show a significant association of FGA SNPs with schizophrenia. Future studies may need to test more FGA SNPs in a larger sample to identify those SNPs with a minor or moderate effect on schizophrenia.

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The aim of the present study was to investigate whether genetic variants in the vascular endothelial growth factor A gene (VEGFA) were risk factors for papillary thyroid carcinoma (PTC) or nodular goiter (NG) in Han Chinese. A total of 2,319 subjects (861 PTC patients, 562 NG patients, and 896 healthy controls) were included. Five tag single nucleotide polymorphisms (tagSNPs: rs3024997, rs3025040, rs833070, rs25648, and rs10434) in VEGFA were genotyped. SNP rs3025040 T allele was associated with a decreased risk of NG (P<0.05). SNP rs3024997 was associated with an increased risk of PTC (P<0.05) and NG (P<0.001) when an over-dominant model (AA+GG vs. AG) was considered. PTC patients carry the less frequent TT genotype (compared to the CC genotype) (P <0.05) of SNP rs3025040. Likewise, NG patients have the less frequent TC genotype compared to the CC (P <0.05). No significant association of SNPs rs833070, rs25648, and rs10434 with PTC or NG was observed. Haplotypes AT (rs3024997 and rs3025040) and GTA (rs10434, rs3025040, and rs3024997) showed a lower risk for NG (P <0.01 and P <0.05, respectively), while haplotypes GTT (rs833070, rs3025040, and rs3024997) and GGGT (rs833070, rs10434, rs3024997, and rs3025040) predicted the risk of progression to NG (both P <0.05). Haplotype AGAC (rs833070, rs10434, rs3024997, and rs3025040) conferred protection for PTC (P <0.05). In summary, this study indicated for the first time that SNPs rs3024997 and rs3025040 in VEGFA were significantly associated with PTC and/or NG. Haplotypes of the VEGFA may influence the risk of PTC and NG.

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Several studies have reported the association between MAPK signaling pathway gene polymorphisms and papillary thyroid carcinoma (PTC). KRAS gene, an oncogene from the mammalian RAS gene family plays an important role in the MAPK pathway. This study aimed to identify the potential association of KRAS gene polymorphisms with susceptibility to PTC in a Han Chinese population. A total of 861 patients with PTC, 562 disease controls with nodular goiter and 897 healthy controls were recruited. Four tagSNP polymorphisms (rs12427141, rs712, rs7315339 and rs7960917) of KRAS gene were genotyped by matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS). Statistical analyses and haplotype estimations were conducted using Haploview and Unphased softwares. Only significant differences were observed in genotypic frequencies of the rs7315339 polymorphism (χ2 =7.234, df=2, p=0.027) between PTC and disease controls. Statistically significant differences in both allelic and genotypic genotypes frequencies for rs712 (Genotype, χ2=8.258, p=0.016) and rs12427141 (Allele, χ2=3.992, p=0.046; Genotype, χ2=8.140, p=0.017) were observed between PTC patients and controls. Haplotype analyses revealed higher frequencies of GA and TA haplotypes (p=0.039 and p=0.003, respectively) from rs712- rs12427141 (two-SNP) or TGA and TTG haplotype containing the alleles from rs7960917, rs712 and rs12427141, as well as the GAT haplotype containing the alleles from rs712, rs12427141 and rs7315339 in PTC patients than in healthy controls (p=0.042, p=0.037, p=0.027, respectively). Inversely, the haplotype TTA from rs7960917, rs712 and rs12427141 or the haplotype TAC from rs712, rs12427141 and rs7315339 was significantly less frequent in the PTC patients than in normal control (p=0.003, p=0.003, respectively). These findings suggest the role of these KRAS gene variants in susceptibility to PTC. Moreover, significant differences of the KRAS gene polymorphisms may occur between nodular goiter and PTC.

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BACKGROUND: There is evidence that body mass index (BMI) is closely related to hyperlipidemia. This study aimed to estimate the cross-sectional relationship between Body Mass Index (BMI) and hyperlipidemia. METHODS: We recruited 21,435 subjects (aged 18-79 years and residing in Jilin province, China) using the multistage stratified cluster random sampling method. Subjects were interviewed with a standardized questionnaire and physically examined. We analyzed the cross-sectional relationship between BMI and hyperlipidemia. RESULTS: The prevalence of hyperlipidemia was 51.09% (52.04% in male and 50.21% in female). The prevalence of overweight and obesity was 31.89% and 6.23%, respectively. Our study showed that underweight (OR = 0.499, 95% CI: 0.426-0.585), overweight (OR = 2.587, 95% CI: 2.428-2.756), and obesity (OR = 3.614, 95% CI: 3.183-4.104) were significantly associated with hyperlipidemia (p < 0.001) in the age- and sex-adjusted logistic regression. After further adjusting for age, gender, region, district, ethnicity, education, marital status, main occupation, monthly family income per capita, smoking, drinking, exercise, central obesity, waist and hip, underweight (OR = 0.729, 95% CI: 0.616-0.864), overweight (OR = 1.651, 95% CI: 1.520-1.793), and obesity (OR = 1.714, 95% CI: 1.457-2.017) were independently associated with hyperlipidemia (p < 0.001). The restricted cubic spline model illustrated a nonlinear dose-response relationship between levels of BMI and the prevalence of hyperlipidemia (Pnonlinearity < 0.001). CONCLUSION: Our study demonstrated that the continuous variance of BMI was significantly associated with the prevalence of hyperlipidemia.

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