Current evidence on the relationship between murine double minute 2 T309G polymorphism and esophageal cancer susceptibility.

The relationship between murine double minute 2 (MDM2) T309G polymorphism and esophageal cancer risk has been discussed with discrepant results. The aim of our study is to investigate the systematic association between the potentially functional MDM2 T309G polymorphism and esophageal cancer risk. Eligible studies were included through searching the databases of PubMed, EMBASE, and Chinese National Knowledge Infrastructure (up to April 2014). The crude odds ratio (OR) and 95% confidence interval (CI) were used to estimate the strength of the association. Six published case-control studies, including 1899 cases and 3016 controls, were identified. Overall, our study suggested that MDM2 T309G polymorphism was significantly associated with increased risk of esophageal cancer (TT vs. GG: OR = 0.77, 95% CI = 0.65-0.90, P = 0.002; T vs. G: OR = 0.88, 95% CI = 0.81-0.96, P = 0.002). In subgroup analyses stratified by source of controls, ethnicity, and quality score assessment, respectively, similar results were obtained (TT vs. GG: OR = 0.65, 95% CI = 0.48-0.89, P = 0.007 for hospital-based studies; T vs. G: OR = 0.90, 95% CI = 0.81-0.99, P = 0.04 for population-based studies; and T vs. G: OR = 0.85, 95% CI = 0.78-0.93, P = 0.004 for Asians). The results of Begg's test and Egger's test did not suggest publication bias in the studies. Therefore, the MDM2 T309G polymorphism may be significantly associated with increased esophageal cancer risk, especially among Asians.

SPARC, an upstream regulator of connective tissue growth factor in response to transforming growth factor beta stimulation.

OBJECTIVE: To differentiate the effects of inhibition of specific small interfering RNA (siRNA) of SPARC (secreted protein, acidic and rich in cysteine) and siRNA of connective tissue growth factor (CTGF) in cultured human fibroblasts, and to identify potential interrelationships between SPARC and CTGF. METHODS: Fibroblasts from skin biopsy specimens of 2 normal individuals were transfected with siRNA of SPARC and siRNA of CTGF. The fibroblasts were stimulated with or without transforming growth factor beta1 (TGFbeta1) and examined by real-time quantitative reverse transcription-polymerase chain reaction to determine the transcription levels of several extracellular matrix genes. RESULTS: After exogenous TGFbeta1 stimulation, both SPARC siRNA and CTGF siRNA showed a protective role against overexpression of collagen genes. Following TGFbeta1 stimulation, SPARC siRNA-transfected fibroblasts showed a greater reduction in expression of the collagen genes compared with CTGF siRNA-transfected fibroblasts, as well as a significantly decreased expression of CTGF (P < 0.05). Using linear structure equations to quantitatively model a genetic network based on expression levels of each gene, a positive regulatory role of SPARC on CTGF, COL1A2, COL3A1, COL11A1, and TIMP3 was observed. However, the regulatory role of CTGF on SPARC appeared to be negative and very small, while the positive regulatory effects of CTGF on COL1A2, COL3A1, COL11A1, and TIMP3 were less than those of SPARC. CONCLUSION: The results of this quantitative comparison support the hypothesis that in these cultured fibroblasts, the regulatory effects of SPARC on some major extracellular matrix structural components are greater than those of CTGF. In addition, SPARC appears to regulate CTGF in a predominantly positive manner, while CTGF may act as a negative feedback control on SPARC following TGFbeta stimulation.

An autosomal genomic scan for loci linked to type 2 diabetes in northern Han Chinese.

We report the results of a genome-wide scan conducted in 219 individuals from 34 large multiplex nuclear pedigrees from the northern Han Chinese population at an average resolution of about 10 cM. Nonparametric two-point and multipoint linkage analyses were performed to detect evidence of linkage with type 2 diabetes in this study. On chromosome 1 four regions showed evidence of linkage with type 2 diabetes in northern Han Chinese. Of these regions a marker D1S193 (73 cM) showed evidence of linkage (two-point nonparametric linkage 2.409), and another region (around 190 cM) was a replication of several other studies performed in different ethnic populations. Evidences of linkage have been confirmed by typing additional markers (average distance 1-5 cM) flanking these two positive regions on chromosome 1. We also found indication of linkage with type 2 diabetes on chromosomes 2, 10, 12, 18, 20, and 22 by two-point linkage analyses.

alpha-Adducin gene and essential hypertension in China.

Adducin is a membrane skeletal protein that is involved in the regulation of membrane ion transport and cellular signal transduction. Essential hypertension has been linked to alpha-adducin gene locus, and association of a polymorphism of the gene has been found in some studies, but results of linkage or association studies on alpha-adducin gene are controversial among different populations. This study was designed to examine the linkage between alpha-adducin gene locus and essential hypertension and to reveal the relationship between an alpha-adducin gene polymorphism (Gly460Trp) and essential hypertension in a Chinese population. For the linkage study, one hundred and six Chinese nuclear families were recruited, including 417 hypertensive patients in all 474 individuals. Those samples were genotyped at D4S412 and D4S3038. The distances between the two microsatellite markers and the alpha-adducin gene locus are less than 3cM. Parametric, non-parametric linkage (NPL) analyses using the GENEHUNTER software were carried out. Sib transmission-dise- quilibrium test (S-TDT), as well as transmission-disequilibrium test (TDT). was also implemented with TDT/S-TDT Program 1.1. Serum levels of uric acid, creatinine, blood urea nitrogen (BUN), fasting glucose and lipids were determined as phenotypes. In an association study, 138 hypertensive and 121 normotensive subjects were genotyped at Gly460Trp of the alpha-adducin gene to examine a possible association between this polymorphism and blood pressure or other phenotypes. We fail to find the linkage between the two markers and essential hypertension by parametric, NPL analysis or TDT/S-TDT study. With the use of the simple association and the multivariate logistic regression analyses, we also fail to reveal a significant association between the Gly460Trp polymorphism in alpha-adducin gene and the blood pressure variation, or blood biochemical indices studied. The frequency of the 460Trp allele in Chinese (46-48%) is similar to that found in Japanese (54-60%) while the allele frequency is less common in Caucasian (13%-23%). These findings suggest that in our Chinese population, alpha-adducin 460Trp variant may not play an important role in the etiology of EH. And the negative results of linkage and TDT/ S-TDT further supports this conclusion.

Linkage of hypertension to chromosome 2q14-q23 in Chinese families.

OBJECTIVES: To identify chromosome regions containing hypertension susceptibility genes in Chinese. SUBJECTS AND METHODS: A three-stage study was carried out in Chinese siblings ascertained through outpatient clinics. In the first stage, 283 affected sib-pairs from 79 nuclear families were subjected to a genome-wide scan with 240 microsatellite marker loci. The second stage focused on chromosome 2 with additional markers resulting in an average distance of 5 cM and used an independent sample of 637 affected sib-pairs from 161 families. In the third stage, a fine-scale mapping study on the suggestive region was performed in an independent set of 777 affected sib-pairs from 106 families. Fourteen markers were used with an average distance less than 2 cM. Non-parametric linkage analyses (NPL), parametric linkage analyses and transmission-disequilibrium tests were used to assess evidence for linkage and association. RESULTS: Three markers (D2S168 at 27.06 cM, D2S151 at 152.04 cM and D2S142 at 161.26 cM) on chromosome 2 with suggestive linkage to hypertension susceptibility genes were identified in the genome-wide scan. In stage II, the suggestive region around D2S151 and D2S142 was replicated, while the linkage around D2S168 was not. In the stage III fine-scale mapping study, multipoint linkage analyses showed LOD scores greater than 2.0 throughout a region between 157.16 cM and 162.46 cM (all P < 0.001) with a maximum peak of 2.24 (P= 0.00067) at 160.52 cM. We also observed a NPL Z-score peak of 3.27 at 157.55 cM (P= 0.00086). CONCLUSIONS: The results of a suggestive region on chromosome 2q14-q23 (D2S112-D2S2370) were consistent between each of the three studies. Interestingly, this region overlaps a syntenic region that contains blood pressure quantitative trait loci identified in rat models of hypertension. These data suggest that the region near D2S142 and D2S151 deserves to be further screened for hypertension susceptibility genes.

TDT statistics for mapping quantitative trait loci.

The original transmission disequilibrium test (TDT), was introduced to test for linkage between a marker and a disease-susceptibility locus (Spielman et al. 1993). Allison (1997) extended the TDT procedure to quantitative traits. Allison's test, however, is restrictive in that it requires family trios consisting of one heterozygous parent, one homozygous parent and one child, and considers only the situation where the marker locus is analogous to the quantitative trait locus itself. In this paper, we propose, investigate and apply a general TDT for quantitative traits that permits more than one child per family, does not require only one parent to be heterozygous, and allows for the fact that the various alleles at the marker and trait loci may be at varying degree of linkage disequilibrium. We also show that this TDT for quantitative traits is still a valid test of linkage in the presence of population substructure. To provide guidelines for study design, we develop analytic formulae for calculation of the power of the TDT for mapping quantitative trait loci and investigate the impact of various factors on the power. Power calculations show that the proposed TDT for quantitative traits is more powerful than Allison's basic test statistic and the extreme discordant sib pair linkage method. The proposed TDT statistic for quantitative traits is applied to systolic blood pressure variation in the Rochester Family Heart Study using an extremely discordant sibling pair design.