Study Of Single Nucleotide Polymorphisms Research Articles

Fine mapping the TAGAP risk locus in rheumatoid arthritis

A common allele at the TAGAP gene locus demonstrates a suggestive, but not conclusive association with risk of rheumatoid arthritis (RA). To fine map the locus, we conducted comprehensive imputation of CEU HapMap single-nucleotide polymorphisms (SNPs) in a genome-wide association study (GWAS) of 5500 RA cases and 22 621 controls (all of European ancestry). After controlling for population stratification with principal components analysis, the strongest signal of association was to an imputed SNP, rs212389 (P=3.9 × 10−8, odds ratio=0.87). This SNP remained highly significant upon conditioning on the previous RA risk variant (rs394581, P=2.2 × 10−5) or on a SNP previously associated with celiac disease and type I diabetes (rs1738074, P=1.7 × 10−4). Our study has refined the TAGAP signal of association to a single haplotype in RA, and in doing so provides conclusive statistical evidence that the TAGAP locus is associated with RA risk. Our study also underscores the utility of comprehensive imputation in large GWAS data sets to fine map disease risk alleles.

M9.2 Dissecting the allelic architecture of ERAP2: a novel preeclampsia susceptibility gene

To study single nucleotide polymorphisms (SNPs) involved in angiogenesis (VEGF, PLGF, VEGFR1, VEGFR2, HIF-1α) and plasma levels of the corresponding proteins (VEGF, PLGF, sVEGFR1, sVEGFR2) in women with and without endometriosis.Allele frequencies of vascular endothelial growth factor (VEGF) pathway SNPs and plasma levels of the corresponding proteins were investigated in patients with endometriosis and in controls.University hospital.Samples of DNA from 1,931 Caucasian patients were included (1,109 patients with endometriosis and 822 controls). An additional study group included 973 DNA samples from volunteers, self-reported to be healthy without laparoscopic evaluation.Women who underwent a laparoscopy for subfertility and/or pain and healthy volunteers without laparoscopic evaluation.Functional SNPs of the VEGF, VEGFR1, VEGFR2, HIF-1α genes and Hap Map tagging SNPs of the PLGF gene were genotyped by using iPLEX technology on a Sequenom MassArray and TaqMan SNP Genotyping Assay. The VEGF levels were determined in ethylenediaminetetraacetic acid plasma samples by using Bio-Plex Protein Array System. PLGF, sVEGFR1, and sVEGFR2 levels were measured in ethylenediaminetetraacetic acid plasma samples by using ELISA Quantikine kits.A significant association was found between the rs2268613 polymorphism in the PLGF gene and PLGF plasma levels. In all study subjects, women with the AA variant of the rs2268613 PLGF gene had significantly lower PLGF plasma levels (median [interquartile range] 9.36 [8.19–10.43] pg/mL) than those with the AG variant (12.1 [11.81–20.84] pg/mL; Pa=.0085, Pb=.04), both before and after multiple testing. Plasma levels of VEGF were elevated in endometriosis patients (especially in minimal–mild endometriosis during the menstrual cycle phase) compared with laparoscopic controls but had a moderate diagnostic performance (area under the curve, 0.73) in this discovery dataset. At a cut-off plasma level of VEGF >3.88 pg/mL, minimal–mild stages of endometriosis were diagnosed with a sensitivity of 74% and a specificity of 80% during the menstrual phase of cycle. The associations between the presence of endometriosis and SNPs in PLGF (rs2268614), HIF-1α (rs11549465), and VEGFR1 (rs9582036) genes lost statistical significance after multiple testing.Genetic variants in the PLGF rs2268613 gene may influence plasma levels of the corresponding protein. Plasma levels of VEGF were elevated in endometriosis patients compared with controls. The associations between the presence of endometriosis and SNPs in PLGF (rs2268614), HIF-1α (rs11549465), and VEGFR1 (rs9582036) genes lost statistical significance after multiple testing.

Neuropeptide Y gene polymorphisms are not associated with obesity in a South Indian population

Neuropeptide Y (NPY) gene has been shown to have a critical role in the regulation of satiety, reproduction, central endocrine and cardiovascular systems. Among the primary functions associated with NPY are its acute effects on feeding behavior and energy expenditure. The aim of this study is to evaluate the relationship between obesity and NPY gene polymorphisms in a South Indian Population. Three polymorphisms in NPY gene (Leu7Pro, Ser50Ser and A7735G) were analyzed in 263 individuals of an endogamous Kota population. On the basis of body mass index (BMI), they were divided into two groups. Associations were tested using logistic regression and haplotype analyses and linkage disequilibrium (LD). There was no evidence of deviation from Hardy-Weinberg equilibrium. Logistic regression analysis did not reveal significant association with obesity and NPY single-nucleotide polymorphisms (SNPs) in the present study. All three SNPs were in weak LD with low r (2) values. Haplotype analysis also did not yield significant association between NPY gene and obesity (global P=0.756). Our study did not validate the association between previously implicated SNPs in NPY gene and obesity in an Indian population. Population-specific validation of putative associations has far reaching implications for the future personal genomics medicine applications.

The obesity-associated SNPs in intron 1 of the FTO gene affect primary transcript levels

As shown by genome-wide association studies single-nucleotide polymorphisms (SNPs) within intron 1 of the FTO gene are associated with the body mass index and type II diabetes, although the functional significance of these SNPs has remained unclear. Using primer extension assays, we have determined the ratio of allelic FTO transcript levels in unspliced heterogeneous nuclear RNA preparations from blood of individuals heterozygous for SNP rs9939609. Allelic expression ratios of the neighboring RPGRIP1L gene were investigated in individuals who were heterozygous for SNP rs4784319 and heterozygous or homozygous for rs9939609. In each of five individuals, the FTO transcripts containing the A (risk) allele of rs9939609 were more abundant than those with T allele (mean 1.38; 95% confidence interval 1.31-1.44). Similar results were obtained in a fibroblast sample. We also observed skewed allelic expression of the RPGRIP1L gene in blood, but skewing was independent of the FTO genotype. Our data suggest that increased expression of FTO is associated with increased body mass.

Variation in the PTH Gene, Hip Fracture, and Femoral Neck Geometry in Elderly Women

Parathyroid hormone (PTH) is a principal regulator of calcium homeostasis. Previously, we studied single-nucleotide polymorphisms present in the major genes in the PTH pathway (PTH, PTHrP, PTHR1, PTHR2) in relation to bone mineral density (BMD) and fracture incidence. We found that haplotypes of the PTH gene were associated with fracture risk independent of BMD. In the present study, we evaluated the relationship between PTH haplotypes and femoral neck bone size. Hip structure analysis and BMD of the femoral neck was assessed by DXA in elderly women from the Malmö Osteoporosis Prospective Risk Assessment study. Data on hip fracture, sustained as a result of low trauma, after the age of 45 years were also analyzed. Haplotypes derived from six polymorphisms in the PTH locus were analyzed in 750 women. Carriers of haplotype 9 had lower values for hip geometry parameters cross-sectional moment of inertia (P = 0.029), femoral neck width (P = 0.049), and section modulous (P = 0.06), suggestive of increased fracture risk at the hip. However, this did not translate into an increased incidence of hip fracture in the studied population. Women who suffered a hip fracture compared to those who had not had longer hip axis length (HAL) (P < 0.001). HAL was not significantly different among haplotypes. Polymorphisms in the PTH gene are associated with differences in aspects of femoral neck geometry in elderly women; however, the major predictor of hip fracture in our population was HAL, to which PTH gene variation does not contribute significantly.

Gene-Gene and Gene-Clinical Factors Interaction in Acute Myocardial Infarction: A New Detailed Risk Chart

The complex pathogenesis of acute myocardial infarction (AMI) implicates phenotypic and genetic heterogeneity. In this pilot case-control study single nucleotide polymorphism (SNP) in several inflammatory genes, such as interleukin (IL)-1beta, IL-6, IL-10, alpha-1-antichymotrypsin (ACT), tumor necrosis factor alpha (TNF)-alpha and interferon gamma (IFN)-gamma genes along with SNPs of genes regulating vascular functions (vascular endothelial growth factor; VEGF) and cholesterol synthesis (hydroxy-methyl-glutaryl CoA reductase; HMGCR) were investigated. Patients were genotyped with RT-PCR technique and data were analyzed with a new mathematical algorithm named Auto Contractive Map. The Auto Contractive Map (AutoCM), was applied in AMI patients with the aim to detect and evaluate the relationships among genetic factors, clinical variables and classical risk factors. Genes were selected because their strong regulatory effect on inflammation and SNP in these gene were located in the promoter region. In the connectivity map generated by AutoCM a group of variables was directly linked with the AMI status; these were: gender (male), early age at onset (50-65 years), HMGCR gene (CC wild type genotype), IL-1betaCT, IL-6 GG and VEGF CC genotypes. This direct link suggested a possible pathogenetic association with AMI. Other genetic, clinical and phenotypic variables were associated to the disease under a statistically defined hierarchy showed in the new connectivity map generated by AutoCM. These analyses suggested that genotypes of few inflammatory genes, a SNP in HMGCR gene, middle age, gender, low HDL and diabetes were very informative variables to predict the risk of AMI.

Phenylethanolamine N-Methyltransferase Gene Polymorphisms and Adverse Outcomes in Acute Kidney Injury

Background/Aims: The catecholaminergic pathway is important in the physical stress response; however, its role is not well understood in acute kidney injury (AKI). We studied single nucleotide polymorphisms (SNPs) of phenylethanolamine N-methyltransferase (PNMT), the terminal enzyme of the catecholaminergic pathway, and their association with adverse outcomes in AKI. Methods: We performed a case-control study of 961 Caucasian subjects (194 with AKI and 767 controls). The PNMT promoter G–161A (rs876493) and coding A+1543G (rs5638) SNPs were genotyped and haplotypes generated. The outcomes of interest were the development of AKI, in-hospital mortality, dialysis requirement, oliguria, and hemodynamic shock. Urine catecholamines were measured in cases to explore genotype-phenotype correlations. Results: The PNMT +1543 G allele was associated with AKI [odds ratio (OR) 2.19, 95% confidence interval (CI): 1.04–4.60]. For AKI cases, each PNMT –161 A allele was associated with lower mortality (OR 0.58, 95% CI: 0.35–0.99) and hemodynamic shock (OR 0.63, 95% CI: 0.40–1.00). The PNMT +1543 G allele was associated with oliguria (OR 3.35, 95% CI: 1.13–9.95). Urine adrenaline was associated with increased hemodynamic shock and mortality, but was lowest in PNMT –161 A/A carriers. Conclusion: In Caucasians, PNMT SNPs are associated with the development of AKI, disease severity, and in-hospital mortality. The adrenergic pathway provides another area of focus in the study of AKI.

Obesity Susceptibility Genetic Variants Identified from Recent Genome-Wide Association Studies: Implications in a Chinese Population

Recent large-scale genome-wide association studies identified novel genetic variants associated with obesity and body mass index (BMI) in addition to the well-described FTO and MC4R genetic variants. This study aimed to examine 13 previously reported obesity and/or BMI-associated loci for associations with obesity in Chinese. This was a cross-sectional case-control study in 470 obese cases (BMI > or =27.5 kg/m(2)) and 700 normal-weight controls (18.5 < or = BMI < or = 23.0 kg/m(2)). A significant association with obesity could be replicated (one tailed P < 0.05) in seven of the 13 single-nucleotide polymorphisms (SNPs) in the case-control study. These included GNPDA2 rs10938397 (P = 7.3 x 10(-4)); FTO rs8050136 (P = 8 x 10(-4)); MC4R rs17782313 (P = 1.2 x 10(-3)); KCTD15 rs29941 (P = 8 x 10(-3)); SFRS10-ETV5-DGKG rs7647305 (P = 0.023); SEC16B-RASAL2 rs10913469 (P = 0.041); and NEGR1 rs3101336 (P = 0.046). Combined genetic risk scores were calculated, and we observed ORs ranging from 1.17 to 1.23 for each unit increase in the genetic risk scores. Associations with obesity-related quantitative traits were analyzed separately for cases and controls. KCTD15 SNP rs29941 (P = 1 x 10(-3)) was significantly associated with fasting glucose in the control group, whereas only the FTO SNP rs8050136 was associated with BMI (P = 3.5 x 10(-3)) in the obese group. However, in an extension study of 1938 subjects from the population-based Hong Kong Cardiovascular Risk Factors Prevalence Study, rs8050136, rs10938397, and rs17782313 showed significant associations with BMI. We have succeeded in replicating, in a Chinese population, the associations with obesity in seven SNPs reported in recent genome-wide association studies. Further functional and fine-mapping studies to elucidate the roles of these putative obesity-related genes and genetic variants are warranted.

GWAF: an R package for genome-wide association analyses with family data

GWAF, Genome-Wide Association analyses with Family, is an R package designed for GWAF. It implements association tests between a batch of genotyped or imputed single nucleotide polymorphisms (SNPs) and a binary or continuous trait with user specified genetic model, and generates informative results from the analyses. In addition, GWAF provides functions to visualize results. We evaluated GWAF using a simulated continuous trait and a binary trait dichotomized from the simulated continuous trait with real genotype data from the Framingham Heart Study's SNP Health Association Resource project.

Effect of population stratification on the identification of significant single-nucleotide polymorphisms in genome-wide association studies

The North American Rheumatoid Arthritis Consortium case-control study collected case participants across the United States and control participants from New York. More than 500,000 single-nucleotide polymorphisms (SNPs) were genotyped in the sample of 2000 cases and controls. Careful adjustment for the confounding effect of population stratification must be conducted when analyzing these data; the variance inflation factor (VIF) without adjustment is 1.44. In the primary analyses of these data, a clustering algorithm in the program PLINK was used to reduce the VIF to 1.14, after which genomic control was used to control residual confounding. Here we use stratification scores to achieve a unified and coherent control for confounding. We used the first 10 principal components, calculated genome-wide using a set of 81,500 loci that had been selected to have low pair-wise linkage disequilibrium, as risk factors in a logistic model to calculate the stratification score. We then divided the data into five strata based on quantiles of the stratification score. The VIF of these stratified data is 1.04, indicating substantial control of stratification. However, after control for stratification, we find that there are no significant loci associated with rheumatoid arthritis outside of the HLA region. In particular, we find no evidence for association of TRAF1-C5 with rheumatoid arthritis.

Detecting significant single-nucleotide polymorphisms in a rheumatoid arthritis study using random forests

Random forest is an efficient approach for investigating not only the effects of individual markers on a trait but also the effect of the interactions among the markers in genetic association studies. This approach is especially appealing for the analysis of genome-wide data, such as those obtained from gene expression/single-nucleotide polymorphism (SNP) array experiments in which the number of candidate genes/SNPs is vast. We applied this approach to the Genetic Analysis Workshop 16 Problem 1 data to identify SNPs that contribute to rheumatoid arthritis. The random forest computed a raw importance score for each SNP marker, where higher importance score suggests higher level of association between the marker and the trait. The significance level of the association was determined empirically by repeatedly reapplying the random forest on randomly generated data under the null hypothesis that no association exists between the markers and the trait. Using random forest, we were able to identify 228 significant SNPs (at the genome-wide significant level of 0.05) across the whole genome, over two-thirds of which are located on chromosome 6, especially clustered in the region of 6p21 containing the human leukocyte antigen (HLA) genes, such as gene HLA-DRB1 and HLA-DRA. Further analysis of this region indicates a strong association to the rheumatoid arthritis status.

SNPs in paternity investigation: The simple future

Based on the 52 SNP-plex developed by the SNP forID Consortium, we designed two 10-plex to study single nucleotide polymorphisms (SNPs) for human identification and to establish its usefulness in paternity casework. This 20 autosomal SNP set was studied in 56 paternity investigation cases from South Portuguese resident population, also analyzed with 17 Short Tandem Repeats (STRs). Results obtained with both methodologies were consistent with each other, except for one case where the alleged father could not be excluded by SNPs. No mutation was found in the SNP loci, whereas a mismatch in STRs was detected. The use of SNPs as a complement to the analysis of autosomal STRs in paternity casework can result in paternity index and paternity probability values equivalent or higher than those obtained with more STR loci, but with lower costs. This study shows that instead of using additional STR loci, the analysis of 20 autosomal SNPs, as a complement technique to standard methodologies, is an appealing alternative in paternity investigation cases.

An miR-502–Binding Site Single-Nucleotide Polymorphism in the 3′-Untranslated Region of the SET8 Gene Is Associated with Early Age of Breast Cancer Onset

MicroRNAs regulate gene expression by binding to the 3'-untranslated region (UTR) of target genes. Single-nucleotide polymorphisms of critical genes may affect their regulation by microRNAs. We have identified a single-nucleotide polymorphism within the miR-502 seed binding region in the 3'-UTR of the SET8 gene. SET8 methylates TP53 and regulates genome stability. We investigated the role of this SET8 single-nucleotide polymorphism and in concert with the TP53 codon 72 single-nucleotide polymorphism in the propensity for onset of breast cancer. We measured the SET8 single-nucleotide polymorphisms in a case-control study on 1,110 breast cancer cases and 1,097 controls. The SET8 CC and TP53 GG genotypes were independently associated with an earlier age of breast cancer onset in an allele-dose-dependent manner (for SET8, 52.2 years for TT, 51.4 for TC, and 49.5 for CC; and for TP53, 53.1 years for CC, 51.5 for GC, 50.7 for GG). Individuals with combined SET8 CC and TP53 GG genotypes developed cancer at a median age of 47.7 years as compared with 54.6 years for individuals with combined SET8 TT and TP53 CC genotypes. In the 51 breast cancer tissue samples tested, the SET8 CC genotype was associated with reduced SET8, but not miR-502, transcript levels. These data suggest that the miR-502-binding site single-nucleotide polymorphism in the 3'-UTR of SET8 modulates SET8 expression and contributes to the early development of breast cancer, either independently or together with the TP53 codon 72 single-nucleotide polymorphism. Larger studies with multiethnic groups are warranted to validate our findings.

The —308 (G/A) single nucleotide polymorphism in the TNF‐α gene and the risk of major depression in the elderly

The immune system (IS) plays a key role in the mechanisms underlying major depression (MD) and pro-inflammatory cytokines seem to be particularly involved in the pathogenesis of the disease. There is growing evidence of a relationship between commonly studied single nucleotide polymorphisms (SNPs) in cytokine genes and an increased risk of MD.The aim of our study was to investigate the association between the -308(G/A) SNP in the tumour necrosis factor-alpha (TNF-alpha) gene and late-life MD in elderly people without dementia. Blood samples were obtained from 50 subjects enrolled at the Geriatric Department of the San Gerardo Hospital in Monza, Italy, after screening with the geriatric depression scale (GDS > or = 15) and mini-mental state evaluation (MMSE > or = 24). The -308 (G/A) SNP was genotyped by SSP-PCR amplification. Two hundred and forty age-matched healthy volunteers were taken as the control group. Genotype and allele distributions in patients with MD were significantly different from those of the controls. In subjects affected by MD we found a higher percentage of the GG genotype (84 vs. 68,3%; p = 0.007) and thus of the G allele (92 vs. 81,9%; p = 0.05).The GG genotype was associated with a greater risk of developing the disease (OR 2.433, CI 1.09-5.43). Our study suggests that the -308 (G/A) polymorphism in the TNF-alpha gene could play a role in determining susceptibility to MD. An activation of the TNF-alpha system could contribute to the development of MD in the elderly.

Relationship Between Polymerase Gamma (POLG) Polymorphisms and Antiretroviral Therapy-Induced Lipodystrophy in HIV-1 Infected Patients: A Case-Control Study

Nucleoside Reverse Transcriptase Inhibitors (NRTIs) used for the treatment of HIV-1 inhibit the replication of mitochondrial DNA (mtDNA), which may contribute to severe mitochondrial toxicity including lipodystrophy, through the inhibition of polymerase gamma (POLG). Polymorphisms of POLG could explain the variation in mitochondrial toxicity in HIV-1-infected patients. We explored the relationship between selected polymorphisms of POLG and lipodystrophy related to NRTIs. We studied single nucleotide polymorphisms (SNP) at three amino acid residues (R1142, E1143 and R1146) and the CAG repeats of POLG in a case-control study including HIV-1 treated patients with lipodystrophy (n=69) and 2 controls (without lipodystrophy) per case matched by age, race and sex (n=138). Compared with matched controls, the polymorphisms in E1143 were significantly more frequent in case patients with lipodystrophy (aOR=4.7; p=0.048), and this was associated with a significant decrease of mtDNA in PBMC. In addition, among the parameters tested, the conditional logistic regression showed that the lipodystrophy has a strong link with E1143 polymorphisms, associated with D4T treatment (aOR=9.29, p=0.002). In conclusion, patients harbouring the changes of E1143 in the catalytic site of POLG exhibit a 4-fold increased risk to develop lipodystrophy than HIV-1 treated patients who do not have changes in E1143 and this risk can increase if the patient presenting the SNP received D4T. These could be due to decreased content of mtDNA in PBMC in these patients. Therefore, the toxicity of NRTIs leading to lipodystrophy in some HIV-1 infected patients could be explained in part by the occurrence of POLG polymorphisms.

Positive Selection in Alternatively Spliced Exons of Human Genes

Alternative splicing is a well-recognized mechanism of accelerated genome evolution. We have studied single-nucleotide polymorphisms and human-chimpanzee divergence in the exons of 6672 alternatively spliced human genes, with the aim of understanding the forces driving the evolution of alternatively spliced sequences. Here, we show that alternatively spliced exons and exon fragments (alternative exons) from minor isoforms experience lower selective pressure at the amino acid level, accompanied by selection against synonymous sequence variation. The results of the McDonald-Kreitman test suggest that alternatively spliced exons, unlike exons constitutively included in the mRNA, are also subject to positive selection, with up to 27% of amino acids fixed by positive selection.

Association of single nucleotide polymorphisms in interferon signaling pathway genes and interferon-stimulated genes with the response to interferon therapy for chronic hepatitis C

Interferon signaling pathway genes (IPGs) and interferon-stimulated genes (ISGs) are associated with the host response to hepatitis C virus (HCV) infection. We studied single nucleotide polymorphisms (SNPs) in IPGs and ISGs for their associations with response to pegylated interferon alpha-2a (Peg-IFN-alpha) plus ribavirin therapy in HCV genotype-1 infected patients. A two-stage study design was used. First, out of 118 SNPs selected, 91 SNPs from 5 IPGs and 12 ISGs were genotyped in a cohort of 374 treatment-naïve HCV patients and assessed for association with sustained virologic response (SVR). Next, 14 potentially functional SNPs from the OASL gene were studied in this cohort. Three OASL SNPs (rs3213545 and rs1169279 from stage I, and rs2859398 from stage II), were significantly associated with SVR [rs3213545: p=0.03, RR=1.27 (1.03-1.58); rs1169279: p=0.02, RR=1.32 (1.05-1.65) p=0.02; rs2859398: p=0.02, RR=1.29 (1.04-1.61)] after adjusting for other covariates. Further analysis showed that these three SNPs independently associated with SVR. Additionally, a similar trend towards the associations of these three SNPs with SVR was observed in a smaller, independent HCV cohort consisting of subjects from a number of clinical practice settings. Our study suggests that OASL variants are involved in the host response to IFN-based therapy in HCV patients.

Association of genetic variations of genes encoding thrombospondin, type 1, domain-containing 4 and 7A with low bone mineral density in Japanese women with osteoporosis

Twins and family studies have shown that genetic factors are important determinants of bone mass. Important aspects of bone mineral density (BMD) regulation are endocrine systems, notably hormonal regulation of adrenal corticoids, as indicated by clinical knowledge of glucocorticoid-induced osteoporosis. Glucocorticoid is known to negatively regulate bone mass in vivo, and glucocorticoid increases thrombospondin messenger ribonucleic acid (mRNA) levels. We studied single nucleotide polymorphisms (SNPs) in genes encoding thrombospondin, type 1, domain-containing 4 and 7A (THSD4 and THSD7A) for possible association with lumbar and femoral BMD among 337 Japanese women with osteoporosis who participated in the BioBank Japan project. Genetic variations of THSD4 and THSD7A loci displayed significant association with lumbar and femoral BMD. Most significant correlation was observed for THSD7A SNP rs12673692 with lumbar BMD (P = 0.00017). Homozygous carriers of the major (G) allele had the highest BMD [0.886 +/- 0.011 g/cm2, mean +/- standard deviation (SD)], whereas heterozygous carriers were intermediate (0.872 +/- 0.013 g/cm2) and homozygous A-allele carriers had the lowest (0.753 +/- 0.023 g/cm2). THSD4 SNP rs10851839 also displayed strong association with lumbar BMD (P = 0.0092). In addition, both THSD7A and THSD4 displayed significant association with femoral BMD in a recessive model (P = 0.036 and P = 0.0046, respectively). Results suggest that variations of THSD7A and THSD4 loci may be important determinants of osteoporosis in Japanese women.

Polymorphisms in chemokine receptor genes and susceptibility to Kawasaki disease

Kawasaki disease (KD) is an acute vasculitis occurring in young children. Its aetiology is unknown, but an infectious agent is assumed. Increased levels of proinflammatory cytokines and chemokines have been reported in KD. Genetic variation in these genes and the receptors for these genes could influence the regulation of cytokines and chemokines. In a case-control study of 170 Dutch Caucasian KD patients and 300 healthy Dutch Caucasian controls, common genetic variants in chemokine receptor genes CCR3, CCR2, CCR5, CX3CR1, CXCR1 and CXCR2 were analysed. Of the eight studied single nucleotide polymorphisms (SNPs) in the CCR3-CCR2-CCR5 gene cluster, four showed a significant association with susceptibility to KD. Moreover the CCR5-Delta32 was observed with an allele frequency of 10.7% in the control population compared to 6.5% in the KD patients (P = 0.04). Two haplotypes of the CCR3-CCR2-CCR5 gene-cluster appear to be at risk haplotypes for KD and one a protective haplotype. No association was observed with the studied SNPs in CX3CR1, CXCR1 and CXCR2. In conclusion, in a Dutch cohort of KD patients an association of KD occurrence with common genetic variants in the chemokine receptor gene-cluster CCR3-CCR2-CCR5 was observed.

Re: Commonly Studied Single-Nucleotide Polymorphisms and Breast Cancer: Results From the Breast Cancer Association Consortium

Re: Commonly Studied Single-Nucleotide Polymorphisms and Breast Cancer: Results From the Breast Cancer Association Consortium