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Congenic mapping of the type 1 diabetes locus, Idd3, to a 780-kb region of mouse chromosome 3: identification of a candidate segment of ancestral DNA by haplotype mapping.

Type 1 diabetes in the nonobese diabetic (NOD) mouse arises as a consequence of T cell-mediated destruction of the insulin-producing beta cells of the pancreas. Although little is known of the events that initiate and subsequently drive beta-cell destruction it is clear that the entire process is under complex genetic control. At present 19 loci have been mapped that influence the development of diabetes either at the level of initiation of insulitis or at the level of progression from insulitis to overt diabetes, or both. Previously, we have mapped one of these loci, Idd3, to a 0.35-cM interval on proximal mouse chromosome 3. In the present study we have narrowed the map position of this locus to an interval of 0.15 cM by a combination of novel congenic strains and an ancestral haplotype analysis approach. We have constructed a physical contig in bacterial artificial chromosome (BAC) clones across the minimal interval. Restriction mapping of the BAC contig placed the maximum size of the Idd3 interval at 780 kb between the markers D3Nds36 and D3Nds76. To refine further the Idd3 interval we developed a series of novel single nucleotide polymorphisms (SNPs) and carried out haplotype analysis on DNA from mouse strains known to carry either Idd3 susceptibility or protective alleles. This haplotype analysis identified a 145-kb segment of ancestral DNA between the microsatellite marker D3Nds6 and the SNP 81.3. One haplotype of this ancestral segment of DNA is found in mouse strains carrying an Idd3 susceptibility allele and another is found in mouse strains carrying an Idd3 protective allelle. Within the 780-kb congenically defined interval this 145-kb segment represents the most likely location for Idd3. The Il2 gene, which encodes the cytokine interleukin 2 (IL2), maps to this interval and is a strong candidate for Idd3. To investigate whether sequence variation exists in the promoter region of the Il2 gene, which might alter its expression, we sequenced the promoter region of the Il2 gene from mouse strains carrying either an Idd3 susceptibility or resistance allele. Two sequence variants were identified, neither of which fell in known regulatory elements within the Il2 promoter. In agreement with this observation steady-state Il2 mRNA levels showed no variation between susceptible and resistant mouse strains. These data suggest that the profound protection from diabetes seen in congenic mice carrying an Idd3 protective allele is unlikely to be due to differences in the level of expression of the Il2 gene. Instead, all of the current data support our hypothesis that Idd3 corresponds to amino acid variation at the amino terminus of Il2.

Alleles↗

Putative association of peroxisome proliferator-activated receptor gamma co-activator 1beta (PPARGC1B) polymorphism with Type 2 diabetes mellitus.

AIMS: Peroxisome proliferator-activated receptor gamma co-activator 1beta (PPARGC1B) may play an important role in obesity and Type 2 diabetes mellitus (T2DM). In an effort to identify genetic polymorphisms in potential candidate genes for T2DM, genetic associations of PPARGC1B were examined in a Korean T2DM study. METHODS: We have sequenced the PPARGC1B, and examined its association with T2DM and diabetic phenotypes in a Korean T2DM study (775 T2DM patients and 316 control subjects) using the TaqMan method. Logistic and multiple regression models were employed to analyse the genetic contributions of polymorphisms. Nineteen polymorphisms were identified in PPARGC1B. RESULTS: By logistic regression analysis controlling for age and sex as covariates, one non-synonymous single-nucleotide polymorphism (SNP; +102605C>A; Arg292Ser) in exon 5 showed marginal significant associations with the risk of T2DM. The allele frequency of the minor allele ['A (= Ser)' allele of +102605C>A] was lower among T2DM patients (frequency = 0.101) than among control subjects (frequency = 0.135) [P = 0.03, OR = 0.71 (95% CI: 0.51-0.94)]. Furthermore, serum triglyceride level was also associated with this non-synonymous SNP (+102605C>A; Arg292Ser) in exon 5 among controls (P = 0.03 in the dominant analysing model). Serum triglyceride levels [1.46 +/- 0.70 (log-transformed value; 0.12 +/- 0.18)] were lower in individuals who carry one or two copies of minor alleles than among others [1.60 +/- 0.85 (log-transformed value; 0.16 +/- 0.21)]. CONCLUSION: The present study provides, for the first time, information about genetic polymorphisms in PPARGC1B and putative associations of one non-synonymous SNP with the risk of T2DM and serum triglyceride (TG) levels in the Korean population, although this result was not significant after correction for multiple testing.

Asian People↗

Unraveling epigenetic and genetic variations in response to cold stress in two lotus ecotypes.

Genetic variations accumulate over long evolutionary timescales, whereas epigenetic modifications can arise rapidly and be inherited across generations. However, the interplay between genetic and epigenetic variations in shaping ecotype-specific phenotypic plasticity remains elusive. Focusing on two lotus ecotypes that evolved under distinct winter temperature regions and display divergent annual growth cycles under cold stress, we generated DNA methylation landscapes across three sequence contexts (CG, CHG, and CHH, where H = A, T, or C) and identified single-cytosine methylation polymorphisms (SMPs) and single-nucleotide polymorphisms (SNPs). Interestingly, only CG methylation patterns mirror population-level genetic variations. Using epigenetic genome-wide association analysis, we identified differentially methylated CG sites that are either cis- or trans-regulated by SNP. Notably, we constructed a multifactorial regulatory network centered on the NnMKK4-NnCYCD5 module, linking cold response with cell cycle regulation. Temperature stress experiments conducted on lotus ecotypes and transgenic Arabidopsis (OE-NnMKK4 and OE-NnCYCD5) confirmed that NnMKK4 acts as a cold receptor and that NnCYCD5 promotes cell cycle progression and growth under cold conditions. Collectively, our findings provide novel insights into the co-evolutionary dynamics of epigenetic and genetic variations that are associated with different growth cycles of lotus ecotypes in response to cold stress.

DNA methylation↗

Estradiol-induced expression of N(+)-K(+)-ATPase catalytic isoforms in rat arteries: gender differences in activity mediated by nitric oxide donors.

We tested the hypothesis that previously demonstrated gender differences in ACh-induced vascular relaxation could involve diverse Na(+)-K(+)-ATPase functions. We determined Na(+)-K(+)-ATPase by measuring arterial ouabain-sensitive 86Rb uptake in response to ACh. We found a significant increase of Na+ pump activity only in aortic rings from female rats (control 206 +/- 11 vs. 367 +/- 29 nmol 86Rb/K.min(-1).g wt tissue(-1); P < 0.01). Ovariectomy eliminated sex differences in Na(+)-K(+)-ATPase function, and chronic in vivo hormone replacement with 17beta-estradiol restored the ACh effect on Na(+)-K(+)-ATPase. Because ACh acts by enhancing production of NO, we examined whether the NO donor sodium nitroprusside (SNP) mimics the action of ACh on Na(+)-K(+)-ATPase activity. SNP increased ouabain-sensitive 86Rb uptake in denuded female arteries (control 123 +/- 7 vs. 197 +/- 12 nmol 86Rb/K.min(-1).g wt tissue(-1); P < 0.05). Methylene blue (an inhibitor of guanylate cyclase) and KT-5823 (a cGMP-dependent kinase inhibitor) blocked the stimulatory action of SNP. Exposure of female thoracic aorta to the Na+/K+ pump inhibitor ouabain significantly decreased SNP-induced and ACh-mediated relaxation of aortic rings. At the molecular level, Western blot analysis of arterial tissue revealed significant gender differences in the relative abundance of catalytic isoforms of Na(+)-K(+)-ATPase. Female-derived aortas exhibited a greater proportion of alpha2-isoform (44%) compared with male-derived aortas. Furthermore, estradiol upregulated the expression of alpha2 mRNA in male arterial explants. Our results demonstrate that enhancement of ACh-induced relaxation observed in female rats may be in part explained by 1) NO-dependent increased Na(+)-K(+)-ATPase activity in female vascular tissue and 2) greater abundance of Na(+)-K(+)-ATPase alpha2-isoform in females.

Acetylcholine↗

A single nucleotide polymorphism chip-based method for combined genetic and epigenetic profiling: validation in decitabine therapy and tumor/normal comparisons.

Progress on several unresolved issues in cancer epigenetics will benefit from rapid and standardized methods for profiling DNA methylation genome-wide. In the area of epigenetic therapy, the demethylating drug decitabine (5-aza-2'-deoxycytidine) is increasingly used to treat acute myelogenous leukemia and myelodysplastic syndrome, but the mechanisms of its anticancer activity have remained unclear. Given the clinical efficacy of decitabine and the uncertainties about its mode of action, it will be useful to optimize methods for following DNA methylation as a biochemical response in individual patients. Here, we describe a single nucleotide polymorphism (SNP) chip-based method (MSNP) for profiling DNA methylation. Using this procedure, the extent of demethylation in bone marrow aspirates from patients with leukemia receiving decitabine can be assessed genome-wide using commercially available (Affymetrix) SNP chips. We validated the accuracy of MSNP by comparing the results with combined bisulfite restriction analysis and by sequencing cloned PCR products from bisulfite-converted DNA. We further validated MSNP in a Wilms' tumor/normal kidney comparison, comparing the results with methylation-sensitive Southern blotting. MSNP simultaneously detects aberrations in DNA copy number and loss of heterozygosity, making it a generally useful approach for combined genetic and epigenetic profiling in tissue samples from cancer patients.

Antimetabolites, Antineoplastic↗

Multiplex single-nucleotide polymorphism detection by combinatorial fluorescence energy transfer tags and molecular affinity.

Combinatorial fluorescence energy transfer (CFET) tags, constructed by exploiting fluorescence energy transfer and combinatorial synthesis to generate a large number of unique fluorescence emission signatures from a limited number of fluorophores, allow multiple biological targets to be identified simultaneously. All of the CFET tags can be excited by a single wavelength of 488 nm and analyzed by a simple optical system. In genetic analysis, the CFET tags are coupled with solid phase capture for multiplex single-nucleotide polymorphism (SNP) detection. The design, synthesis, purification of CFET tags, and the methods to use the CFET tags and molecular affinity for SNP detection in the retinoblastoma tumor suppressor gene are described.

Combinatorial Chemistry Techniques↗

Genetic linkage of prostate cancer risk to the chromosome 3 region bearing FHIT.

We conducted linkage analysis of 80 candidate genes in 201 brother pairs affected with prostatic adenocarcinoma. Markers representing two adjacent candidate genes on chromosome 3p, CDC25A and FHIT, showed suggestive evidence for linkage with single-point identity-by-descent allele-sharing statistics. Fine-structure multipoint linkage analysis yielded a maximum LOD score of 3.17 (P = 0.00007) at D3S1234 within FHIT intron 5. For a subgroup of 38 families in which three or more affected brothers were reported, the LOD score was 3.83 (P = 0.00001). Further analysis reported herein suggested a recessive mode of inheritance. Association testing of 16 single nucleotide polymorphisms (SNP) spanning a 381-kb interval surrounding D3S1234 in 202 cases of European descent with 143 matched, unrelated controls revealed significant evidence for association between case status and the A allele of single nucleotide polymorphism rs760317, located within intron 5 of FHIT (Pearson's chi(2) = 8.54, df = 1, P = 0.0035). Our results strongly suggest involvement of germline variations of FHIT in prostate cancer risk.

Acid Anhydride Hydrolases↗

Two week nicotine treatment selectively increases bone vascular constriction in response to norepinephrine.

This study was designed to determine if nicotine treatment alters the constrictor and/or dilator function of the vessels which regulate blood flow to intact bone. Nicotine (1.7 mg/kg/day) or nicotine-free, phosphate-buffered saline was administered subcutaneously to mature male rats for 2 weeks via osmotic mini-pumps. On the 14th day, the rats were anesthetized and in vivo experiments were performed to quantitate the changes in arterial blood pressure and perfusion of the intact tibia (measured by laser Doppler flowmetry) in response to two constrictor agonists (norepinephrine, NE and arginine vasopressin, AVP) and two vasodilator agents (acetylcholine, ACh and sodium nitroprusside, SNP). Dose-response curves were generated by plotting the change in the bone vascular resistance index (mmHg/bone perfusion units) evoked by each dose of agonist. In addition, bone arteriolar expression of endothelial nitric oxide synthase protein was quantitated by Western blot analysis. Nicotine treatment significantly enhanced the constriction of the bone vasculature in response to NE, but not to AVP. Vascular dilation in response to ACh and SNP was not changed by nicotine. These results indicate that nicotine selectively accentuates the constrictor response of the bone vasculature to exogenous NE. This enhanced constriction to NE is not due to impaired endothelial cell release of nitric oxide or diminished smooth muscle response to nitric oxide. Since NE and AVP activate similar cell signaling mechanisms to induce constriction, the selective enhancement of NE-induced constriction suggests that nicotine alters a mechanism unique to NE signaling; possibly the number or binding affinity of alpha adrenergic receptors. Since endogenous NE regulates basal blood flow to bone, the effect of nicotine to augment NE-induced constriction could lead to a chronic reduction in blood flow to bone.

Acetylcholine↗

Kinetic fluorescence-quenching detection assay for allele frequency estimation.

The analysis of human genetic variations, such as single-nucleotide polymorphisms (SNPs), has great applications in genome-wide association studies of complex genetic traits. We have developed an SNP genotyping method based on the primer extension assay with fluorescence quenching detection. The template-directed dye-terminator incorporation with fluorescence quenching detection (FQ-TDI) assay is based on the observation that the intensity of fluorescent dye R110- and R6G-labeled acycloterminators is universally quenched once they are incorporated onto a deoxyribonucleic acid (DNA) oligonucleotide primer. By comparing the rate of fluorescence quenching of the two allelic dyes in real time, we have extended this method for allele frequency estimation of SNPs in pooled DNA samples. The kinetic FQ-TDI assay is highly accurate and reproducible both in genotyping and in allele frequency estimation. Allele frequencies estimated by the kinetic FQ-TDI assay correlated well with known allele frequencies, with an r2 value of 0.993. Applying this strategy to large-scale studies will greatly reduce the time and cost for genotyping hundreds and thousands of SNP markers between affected and control populations.

Alleles↗

High throughput fluorescent CE-SSCP SNP genotyping.

Large numbers of single nucleotide polymorphisms (SNPs) are being identified by several laboratories for the purpose of developing dense genetic maps. Single-strand conformation polymorphism (SSCP) analysis has been widely used as a method for detecting novel sequence variations in PCR products. Differences in migration of single-stranded DNA can be used not only to find mutations, but to genotype SNPs in large sample populations. Using PCR with fluorescent labeling and automated capillary electrophoresis SSCP (CE-SSCP), we have developed a panel of 15 functional candidate SNPs. With an automated single capillary instrument, relatively rapid and low cost CE-SSCP SNP genotyping using currently available technology is feasible for 135 000 genotypes per year. With parallel multiple array capillary electrophoresis, more genotypes per year may be attainable.

Automation↗

Apolipoprotein E genotyping: accurate, simple, high throughput method using ABI Prism SNaPshot Multiplex System.

Apolipoprotein E (apo E) is an essential constituent of several plasma lipoproteins, and plays an important role in lipoprotein metabolism. The apo E gene exhibits two common functional polymorphisms, producing 3 isoforms known to be associated with the risks of developing cardiovascular disease and susceptibility to Alzheimer's disease. Numerous different methods have been established for determining the three apo E isoforms, yet there are disadvantages and ambiguities associated with all of them. We used a method adapted for multiplex automated primer extension analysis by improving a commercially available protocol (SNaPshot) and simultaneously typing apo E single nucleotide polymorphisms (SNPs) encoding for isoforms at codon 112 and 158. This protocol relies on the extension with fluorescent dideoxyNTPs of a primer that ends one nucleotide 5' of a given SNP (minisequencing). Improvement of the method is achieved by incorporating into the minisequencing reaction two pooled primers corresponding to both apo E SNPs followed by analysis on an ABI PRISM 310 DNA sequencer. We found full concordance with genotypes determined using universal heteroduplex. This method is readily available for many laboratories and is a simple, unequivocal easy to use technique suitable for large amount of clinical samples that may provide a significant improvement over previously reported methods for apo E genotyping.

Alzheimer Disease↗

Expression-based discovery of variation in the human glutathione S-transferase M3 promoter and functional analysis in a glioma cell line using allele-specific chromatin immunoprecipitation.

Discovery and functional evaluation of biologically significant regulatory single nucleotide polymorphisms (SNP) in carcinogen metabolism genes is a difficult challenge because the phenotypic consequences may be both transient and subtle. We have used a gene expression screening approach to identify a functional regulatory SNP in glutathione S-transferase M3 (GSTM3). Anttila et al. proposed that variation in GSTM3 expression was affected by exposure to cigarette smoke and inheritance of the GSTM1-null genotype. To investigate the mechanism of GSTM3 expression was affected by exposure to cigarette smoke and inheritance of the GSTM1-null genotype. To investigate the mechanism of GSTM3 expression variation, we measured GSTM3 expression in lymphoblast cells from a human Centre d'Etude du Polymorphisme Humain family and observed a low expression phenotype. Promoter sequencing revealed two novel GSTM3 promoter SNPs: A/C and A/G SNPs, 63 and 783 bp upstream of the codon 1 start site, respectively. In this pedigree, the two children homozygous for the -63C/C genotype had 8-fold lower GSTM3 expression relative to the two children with the -63A/A genotype, with no association between A-783G SNP and GSTM3 expression. Further evaluation using genotyped glioma cell lines and with luciferase reporter constructs showed that the -63C allele was associated with lower GSTM3 expression (P < 0.0001 and P < 0.003). RNA pol II chromatin immunoprecipitation was combined with quantitative probed-based allelic discrimination genotyping to provide direct evidence of a 9-fold reduced RNA pol II binding capacity for the -63C allele. These results show that the GSTM3 -63C allele strongly affects gene expression in human cell lines and suggests that individuals who carry the low expression allele may be deficient in glutathione transferase catalyzed biological functions.

Base Sequence↗

[The association of MMP-13 polymorphism with susceptibility to esophageal squamous cell carcinoma and gastric cardiac adenocarcinoma].

Matrix metalloproteinase-13 (MMP-13) belongs to a family of enzymes that degrade all components of the extracellular matrix. Polymorphism in the promoter region of the MMP-13 gene may modify its transcriptional activity and protein level. This study was designed to investigate the correlation of MMP-13 A-77G single nucleotide polymorphism (SNP) with susceptibility to esophageal squamous cell carcinoma (ESCC) and gastric cardiac carcinoma (GCA) in a population from a high-incidence region of Hebei province. MMP-13 promoter SNP (A-77G) was genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis in 316 ESCC patients, 243 GCA patients and 609 healthy controls. The overall genotype and allelotype distributions of MMP-13 in ESCC and GCA patients were not significantly different from those in healthy controls (P>0.05). When stratified for smoking status, the A/A, A/G, G/G genotype frequencies of MMP-13 in GCA patients and smoker controls group were 27.1%, 44.1%, 28.8% and 17.8%, 60.5%, 21.7% respectively. There was a significant difference between the two groups (chi2=9.01, P=0.01). The A/G genotype frequency in GCA patients was significantly lower than that in the controls, when compared to the A/A genotype, suggesting that individuals with the A/G genotype may have reduced susceptibility to GCA in the smoker group (OR=0.48, 95% CI=0.280.83). However, the G/G genotype showed no significant influence on the risk of developing GCA. Thus, in the region of Hebei Province where there is a high incidence of GCA and ESCC, the MMP-13 A-77G SNP may not be associated with cancer susceptibility. The A/G genotype may confer protection against GCA for smokers.

Adenocarcinoma↗

The mannose-binding lectin (MBL2) haplotype and breast cancer: an association study in African-American and Caucasian women.

Common genetic variants in cancer-related genes contribute to breast cancer. The innate immune system plays a crucial role in the immune surveillance against malignancies, thus it is plausible that genetic variations in key genes of the innate immunity such as the mannose-binding lectin (MBL), MBL2, could influence the risk for breast cancer. We investigated the association of MBL2 genotypes with breast cancer and conducted a comprehensive genotype and haplotype analysis of 26 MBL2 single nucleotide polymorphisms (SNPs) in a case-control study of breast cancer [166 African-American (AA) case patients versus 180 controls and 127 Caucasian (CAU) case patients versus 137 controls]. We observed that the A allele of the 3'-UTR SNP Ex4-1067 (NCBI SNP ID: rs10824792) was significantly associated with a decreased disease risk in AA women [odds ratio (OR) = 0.47, 95% confidence interval (CI) = 0.27-0.81]. Haplotype analysis of MBL2 showed that the frequency of the corresponding 3' haplotype TATAAC (Ex4-1483, Ex4-1067, Ex4-1047, Ex4-901, Ex4-710, 3238bp 3' STP) was lower in cases than controls among AA women (0.15 versus 0.21; P = 0.02) suggesting a protective effect after adjusting for covariates (OR = 0.51, 95% CI = 0.29-0.88, P = 0.018). In conclusion, this study presents preliminary evidence that common genetic variants in the 3'-UTR of MBL2 might influence the risk for breast cancer in AA women, probably in interaction with the 5' secretor haplotypes that are associated with high concentrations of MBL.

3' Untranslated Regions↗

SIGMA: a system for integrative genomic microarray analysis of cancer genomes.

BACKGROUND: The prevalence of high resolution profiling of genomes has created a need for the integrative analysis of information generated from multiple methodologies and platforms. Although the majority of data in the public domain are gene expression profiles, and expression analysis software are available, the increase of array CGH studies has enabled integration of high throughput genomic and gene expression datasets. However, tools for direct mining and analysis of array CGH data are limited. Hence, there is a great need for analytical and display software tailored to cross platform integrative analysis of cancer genomes. RESULTS: We have created a user-friendly java application to facilitate sophisticated visualization and analysis such as cross-tumor and cross-platform comparisons. To demonstrate the utility of this software, we assembled array CGH data representing Affymetrix SNP chip, Stanford cDNA arrays and whole genome tiling path array platforms for cross comparison. This cancer genome database contains 267 profiles from commonly used cancer cell lines representing 14 different tissue types. CONCLUSION: In this study we have developed an application for the visualization and analysis of data from high resolution array CGH platforms that can be adapted for analysis of multiple types of high throughput genomic datasets. Furthermore, we invite researchers using array CGH technology to deposit both their raw and processed data, as this will be a continually expanding database of cancer genomes. This publicly available resource, the System for Integrative Genomic Microarray Analysis (SIGMA) of cancer genomes, can be accessed at http://sigma.bccrc.ca.

Adenocarcinoma↗

Genome-wide association study in esophageal cancer using GeneChip mapping 10K array.

Whole genome association studies of complex human diseases represent a new paradigm in the postgenomic era. In this study, we report application of the Affymetrix, Inc. (Santa Clara, CA) high-density single nucleotide polymorphism (SNP) array containing 11,555 SNPs in a pilot case-control study of esophageal squamous cell carcinoma (ESCC) that included the analysis of germ line samples from 50 ESCC patients and 50 matched controls. The average genotyping call rate for the 100 samples analyzed was 96%. Using the generalized linear model (GLM) with adjustment for potential confounders and multiple comparisons, we identified 37 SNPs associated with disease, assuming a recessive mode of transmission; similarly, 48 SNPs were identified assuming a dominant mode and 53 SNPs in a continuous mode. When the 37 SNPs identified from the GLM recessive mode were used in a principal components analysis, the first principal component correctly predicted 46 of 50 cases and 47 of 50 controls. Among all the SNPs selected from GLMs for the three modes of transmission, 39 could be mapped to 1 of 33 genes. Many of these genes are involved in various cancers, including GASC1, shown previously to be amplified in ESCCs, and EPHB1 and PIK3C3. In conclusion, we have shown the feasibility of the Affymetrix 10K SNP array in genome-wide association studies of common cancers and identified new candidate loci to study in ESCC.

Carcinoma, Squamous Cell↗

Association between a 19 bp deletion polymorphism at the dopamine beta-hydroxylase (DBH) locus and migraine with aura.

Migraine is a debilitating neurological disorder, affecting 12% of Caucasian populations. It is well known that migraine has a strong genetic component, although the type and number of genes involved is unclear. Our previous work has investigated dopamine related migraine candidate genes and has reported a significant allelic association with migraine of a microsatellite localised to the promoter region of the dopamine beta-hydroxylase (DBH) gene. The present study performed an association analysis in a larger population of case-controls (275 unrelated Caucasian migraineurs versus 275 controls) examining two different genetic DBH polymorphisms (a functional insertion/deletion promoter and a coding SNP A444G polymorphism). Although no significant association was found for the SNP polymorphism, the results showed a significant association between the insertion/deletion variant and disease (chi(2)=8.92, P=0.011), in particular in migraine with aura (chi(2)=11.53, P=0.003) compared to the control group. Furthermore, the analysis of this polymorphism stratified by gender, revealed that male individuals with the homozygote deletion genotype had three times the risk of developing migraine, compared to females. The DBH insertion/deletion polymorphism is in linkage disequilibrium with the previously reported migraine associated DBH microsatellite and this insertion/deletion polymorphism is functional, which may explain a potential role in susceptibility to migraine.

Case-Control Studies↗

Automated SNP detection in expressed sequence tags: statistical considerations and application to maritime pine sequences.

We developed an automated pipeline for the detection of single nucleotide polymorphisms (SNPs) in expressed sequence tag (EST) data sets, by combining three DNA sequence analysis programs: Phred, Phrap and PolyBayes. This application requires access to the individual electrophoregram traces. First, a reference set of 65 SNPs was obtained from the sequencing of 30 gametes in 13 maritime pine (Pinus pinaster Ait.) gene fragments (6671 bp), resulting in a frequency of 1 SNP every 102.6 bp. Second, parameters of the three programs were optimized in order to retrieve as many true SNPs, while keeping the rate of false positive as low as possible. Overall, the efficiency of detection of true SNPs was 83.1%. However, this rate varied largely as a function of the rare SNP allele frequency: down to 41% for rare SNP alleles (frequency < 10%), up to 98% for allele frequencies above 10%. Third, the detection method was applied to the 18498 assembled maritime pine (Pinus pinaster Ait.) ESTs, allowing to identify a total of 1400 candidate SNPs, in contigs containing between 4 and 20 sequence reads. These genetic resources, described for the first time in a forest tree species, were made available at http://www.pierroton.inra/genetics/Pinesnps. We also derived an analytical expression for the SNP detection probability as a function of the SNP allele frequency, the number of haploid genomes used to generate the EST sequence database, and the sample size of the contigs considered for SNP detection. The frequency of the SNP allele was shown to be the main factor influencing the probability of SNP detection.

Algorithms↗