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The promoter region of the adiponectin gene is a determinant in modulating insulin sensitivity in childhood obesity.

We investigated the association of the -11,391G>A, -11,377G>C, +45T>G, and +276G>T adiponectin single-nucleotide polymorphisms (SNPs) and expected haplotypes with the insulin resistance (IR) state in overweight/obese children; by using the haplotype background analysis, we also assessed the effect of each SNP independently. GG genotype at the -11,391 locus was associated with higher fasting insulin levels and homeostasis model assessment-IR index and lower adiponectin levels compared with GA + AA genotypes (p = 0.01, 0.002, and 0.03, respectively). Those heterozygous and homozygous for G allele at the -11,377 locus showed higher fasting glucose (p = 0.001 for both), fasting insulin (p = 0.001 for both), homeostasis model assessment-IR index (p < 0.001 for both), and triglyceride levels (p = 0.02 and 0.03, respectively) and lower adiponectin levels (p = 0.002 and 0.02, respectively) compared with C homozygotes. The +45G carriers showed higher fasting and 2-hour glucose levels (p = 0.01 for both) and lower adiponectin levels (p = 0.02) compared with non-carriers. Haplotype analysis suggested that, considering the same haplotypic background, each of the three polymorphisms exerted an independent effect on investigated parameters. The -11,391G>A, -11,377C>G, and +45T>G SNPs are associated with IR syndrome in overweight/obese children; they independently influence the investigated variables. The effect of +45T>G SNP seems to be marginal compared with the promoter SNPs. The GGT haplotype is associated with the highest degree of IR.

Adiponectin↗

Multiplex automated primer extension analysis: simultaneous genotyping of several polymorphisms.

Accurate and fast genotyping of single nucleotide polymorphisms (SNPs) is of significant scientific importance for linkage and association studies. We report here an automated fluorescent method we call multiplex automated primer extension analysis (MAPA) that can accurately genotype multiple known SNPs simultaneously. This is achieved by substantially improving a commercially available protocol (SNaPshot). This protocol relies on the extension of a primer that ends one nucleotide 5'of a given SNP with fluorescent dideoxy-NTPs (minisequencing), followed by analysis on an ABI PRisMS 377 Semi-Automated DNA Sequencer Our modification works by multiplexing the initial reaction that produces the DNA template for primer extension and/or multiplexing several primers (corresponding to several SNPs) in the same primer extension reaction. Then, we run each multiplexed reaction on a single gel lane. We demonstrate that MAPA can be used to genotype up to four SNPs simultaneously, even in compound heterozygote samples, with complete accuracy (based on concordance with sequencing results). We also show that primer design, unlike the DNA template purification method, can significantly affect genotyping accuracy, and we suggest useful guidelines for quick optimization.

DNA Primers↗

Candidate gene analysis of the human metabotropic glutamate receptor type 4 (GRM4) in patients with juvenile myoclonic epilepsy.

Hereditary factors play a major role in the genetically complex etiology of juvenile myoclonic epilepsy (JME). Linkage studies in families of JME probands suggest a susceptibility locus (EJM1) for idiopathic generalized epilepsy (IGE) in the chromosomal region 6p21.3 near the HLA region. The gene encoding the metabotropic glutamate receptor type 4 (GRM4) has been localized within the EJM1-region and represents a high-ranking candidate gene. Therefore, we have sequenced the coding regions and regulatory GRM4 sequences in 20 IGE probands who were derived from families of JME probands providing positive linkage evidence to the HLA-DQ locus. Our mutation analysis detected three synonymous exonic single nucleotide polymorphisms (SNP; exon-7: c.1455T > C, exon-8: c.2002A > G, exon-10: c.2733C > T), one SNP in the 3'-untranslated region (c.2890A > G), and two intronic SNPs (intron-3: IVS3 + 2732A > G, intron-7: IVS7 + 39C > T). None of the identified SNPs was likely to affect receptor function or gene expression. The population-based association study did not show significant differences in the allele and genotype frequencies of the common c.1455T > C SNP between 144 German JME probands and 144 healthy population controls (P > 0.84). Likewise, the family-based transmission disequilibrium test did not indicate a preferential transmission of exon-7 SNP alleles in 31 informative parent-child transmissions (P = 0.86). Our results provide no evidence that genetic variation of the GRM4 gene confers susceptibility to JME-related IGE syndromes.

Adolescent↗

SimPed: a simulation program to generate haplotype and genotype data for pedigree structures.

With the widespread availability of SNP genotype data, there is great interest in analyzing pedigree haplotype data. Intermarker linkage disequilibrium for microsatellite markers is usually low due to their physical distance; however, for dense maps of SNP markers, there can be strong linkage disequilibrium between marker loci. Linkage analysis (parametric and nonparametric) and family-based association studies are currently being carried out using dense maps of SNP marker loci. Monte Carlo methods are often used for both linkage and association studies; however, to date there are no programs available which can generate haplotype and/or genotype data consisting of a large number of loci for pedigree structures. SimPed is a program that quickly generates haplotype and/or genotype data for pedigrees of virtually any size and complexity. Marker data either in linkage disequilibrium or equilibrium can be generated for greater than 20,000 diallelic or multiallelic marker loci. Haplotypes and/or genotypes are generated for pedigree structures using specified genetic map distances and haplotype and/or allele frequencies. The simulated data generated by SimPed is useful for a variety of purposes, including evaluating methods that estimate haplotype frequencies for pedigree data, evaluating type I error due to intermarker linkage disequilibrium and estimating empirical p values for linkage and family-based association studies.

Computer Simulation↗

Comparative genomic analysis reveals distinct population structure in Legionella anisa.

Legionella anisa has been frequently isolated from engineered water systems; however, its population structure remains understudied compared to Legionella pneumophila. Here, we generated complete genome sequences for four L. anisa isolates recovered from a healthcare facility in Rimouski, Canada. Further the population structure of this species was investigated by performing comparative genomic analyses of the genomes generated in this study together with publicly available L. anisa genomes. Genome-wide phylogenetic analysis revealed the presence of three distinct clades separated by substantial genetic divergence (&#x223c;500 SNP), with the Rimouski isolates forming a tightly clustered group, suggesting a clonal lineage. Comparative pangenome analysis indicated moderate core genome conservation accompanied by a highly variable accessory genome (&#x223c;50%). The isolates characterized in this study harbored multiple plasmids encoding genes associated with conjugation, heavy metal resistance, and other stress-related functions, suggesting potential roles in environmental persistence. Previous studies have shown that L. anisa can proliferate within protozoan host cells, although outcomes vary depending on the host species. Our isolates showed efficient proliferation within Acanthamoeba castellanii, but not within Vermamoeba vermiformis, under the conditions tested. Together, these findings underscore the genomic diversity of this understudied Legionella species and provide a framework for future investigations regarding environmental persistence and potential pathogenicity.

Legionella anisa, Whole genome sequencing↗

Forensic mass screening using mtDNA.

At the forensic autopsy of a sexual murder victim, some trace hairs, possibly belonging to the perpetrator, were saved. Initially, the analysis of a pubic hair shaft only revealed the presence of the mitochondrial (mt) DNA haplotype profile consisting of the (CA)(6) allele and the complete hypervariable region 1 (HV1) and 2 (HV2) sequence. Later, typing of some further telogene trace hairs, which had been stored for several years, yielded a nuclear short tandem repeat (STR) profile. We used both the mtDNA haplotype and the STR profile to start a DNA mass screening project involving 2,335 male citizens of the relevant communities. MtDNA screening was carried out by using the CA repeat amplification in combination with an SNP typing procedure based on the restriction site analysis of amplified d-loop sequences. The aim of our paper is to put mass screening with mtDNA up for discussion.

Alleles↗

Multiplex family-based study in systemic lupus erythematosus: association between the R620W polymorphism of PTPN22 and the FcgammaRIIa (CD32A) R131 allele.

A functional polymorphism in PTPN22, a gene encoding a phosphatase involved in T-cell signaling, has been associated with autoimmunity. We checked for the prevalence of the PTPN22 R620W polymorphism in multiplex families affected with systemic lupus erythematosus (SLE) and other autoimmune diseases. Its association with other polymorphisms in mannose binding lectin (MBL) and FcgammaRIIa (CD32A) genes was also studied. Deoxyribonucleic acid samples were obtained from 233 Spanish individuals who belonged to 21 families in which at least two members had been diagnosed with some autoimmune disease, mainly SLE. A healthy control population was also included (n= 129). Genotyping for the R620W single-nucleotide polymorphism (SNP) was performed by restriction fragment length polymorphism analysis of polymerase chain reaction products. Allele frequency for the T allele was slightly higher in the families with autoimmune disease, especially when considering the affected individuals (0.094 vs 0.062). Actually, 18.8% affected family members vs 11.6% controls had the polymorphism (P= 0.179). Nineteen percent of affected individuals had both the PTPN22 T and the CD32A R131 alleles, whereas only 8.5% unaffected relatives had both susceptibility alleles simultaneously [P= 0.031, odds ratios 2.508 (95% confidence interval 1.066-5.896)]. The tendency toward finding the T allele more frequently in members affected with some particular autoimmune disorder suggests that this SNP may confer susceptibility to autoimmunity. The fact that more affected than unaffected relatives carried both the T and the R131 alleles simultaneously leads us to think about the existence of a combinatorial effect between genes that could help define individuals prone to autoimmune diseases.

Alleles↗

Interleukin-6 receptor gene polymorphisms and periodontitis in a non-smoking Japanese population.

AIM: The indispensable role of interleukin-6 receptor (IL-6R) in regulating IL-6 responses has been clearly established. We have previously reported that IL6R polymorphisms strongly influenced the serum levels of soluble IL-6R. In this study, we investigated the association between these genetic variations and periodontitis. MATERIAL AND METHODS: Among the seven novel IL6R single-nucleotide polymorphisms (SNPs) reported, we genotyped two important sites: the +48892 A/C in exon 9 and the -183 G/A in the promoter region. The SNP in exon 9 results in Asp-->Ala substitution in the proteolytic cleavage site of IL-6Ralpha. In total, 212 periodontitis cases and 210 healthy controls were genotyped using polymerase chain reaction, restriction fragment length polymorphisms and direct sequencing methods. RESULTS: Analysis of the genotype distribution of the +48892 A/C SNP in periodontitis patients and in controls revealed a suggestive association with aggressive (p = 0.04) and chronic periodontitis (p = 0.04). In addition, the carriage rate for the A allele was significantly higher in chronic periodontitis patients [p = 0.02, odds ratio (OR) = 2.25]. No association was found in the -183 G/A SNP. The two markers were in linkage disequilibrium (LD) (|D'| = 0.53). CONCLUSION: The IL6R+48892 A/C polymorphism could act as a risk factor for periodontitis; however, further association and biological studies are needed.

Adenine↗

Genetic variation in the choline acetyltransferase (CHAT) gene may be associated with the risk of Alzheimer's disease.

Several independent linkage studies have mapped a broad susceptibility region for Alzheimer's disease (AD) on the long arm of chromosome 10. There are several biological candidate genes in this region, including choline acetyltransferase (CHAT). A number of studies have examined the role of CHAT genetic variants with AD risk and age-at-onset (AAO), but the results are equivocal. We examined the association of three Single Nucleotide Polymorphisms (SNPs) in the CHAT gene in 1001 white sporadic late-onset AD (LOAD) cases and 708 white controls. We also examined the role of these three SNP with quantitative traits of AD including AAO, disease duration, and Mini-Mental State Examination (MMSE) score. We observed both allelic and genotypic associations of the intron 9 SNP with AD risk in the total sample (p = 0.029 for genotype and p = 0.028 for allele frequency differences) as well as among non-APOE*4 carriers (p = 0.007 for genotype and p = 0.006 for allele frequency differences). Three-site haplotype analysis confirmed that haplotypes determined by the intron 9 SNP were associated with either risk (p = 0.0009) or protective (p = 0.0082) effects among non-APOE*4 carriers. The three CHAT SNPs also showed a modest association with MMSE score. Our data suggest that genetic variation in the CHAT gene may be associated with AD risk and quantitative traits related to AD.

Age Factors↗

Genomic Regions Associated with Resistance to Soybean Cyst Nematode (Heterodera glycines Ichinohe) Population HG Type 1.2.5.7 in Dry Beans (Phaseolus vulgaris L.).

North Dakota, the largest dry bean (Phaseolus vulgaris L.) producing state in the U.S., faces an emerging production threat caused by the soybean cyst nematode (SCN; Heterodera glycines Ichinohe, 1952). Host resistance is an effective management strategy, yet resistance to the virulent SCN population HG type 1.2.5.7 has not been genetically characterized in dry beans. In this study, 170 dry bean genotypes (113 breeding lines/cultivars and 57 germplasm accessions) were evaluated for response to HG type 1.2.5.7 under controlled conditions using female index (FI) as the resistance phenotype. FI values ranged from 4.1% to 78.1%, with one genotype (PI 313733) classified as resistant, 35 moderately resistant, 104 moderately susceptible, and 30 susceptible. Genome-wide association analysis using 2,044 single-nucleotide polymorphism (SNP) markers from the 3.8K Bean Panel chip and the BLINK model identified four significant marker-trait associations on chromosomes Pv02, Pv05, Pv07, and Pv11. Linkage disequilibrium-defined candidate intervals spanned 108 kb (Pv02), 1.50 Mb (Pv05), 798 kb (Pv07), and 1.45 Mb (Pv11), collectively containing 126 annotated genes: 20 on Pv02, 39 on Pv05, 35 on Pv07, and 32 on Pv11. The intervals contained putative genes annotated for signaling and transcriptional regulation, cell wall and carbohydrate metabolism, transport, and secondary metabolism. Together, these findings indicate that the response to HG type 1.2.5.7 in dry bean is quantitative and associated with multiple genomic regions. The identified intervals provide candidate targets for independent validation, fine mapping, functional analysis, and future marker development to support breeding for SCN resistance.

Disease Resistance↗

ToxoDB: accessing the Toxoplasma gondii genome.

ToxoDB (http://ToxoDB.org) provides a genome resource for the protozoan parasite Toxoplasma gondii. Several sequencing projects devoted to T. gondii have been completed or are in progress: an EST project (http://genome.wustl.edu/est/index.php?toxoplasma=1), a BAC clone end-sequencing project (http://www.sanger.ac.uk/Projects/T_gondii/) and an 8X random shotgun genomic sequencing project (http://www.tigr.org/tdb/e2k1/tga1/). ToxoDB was designed to provide a central point of access for all available T. gondii data, and a variety of data mining tools useful for the analysis of unfinished, un-annotated draft sequence during the early phases of the genome project. In later stages, as more and different types of data become available (microarray, proteomic, SNP, QTL, etc.) the database will provide an integrated data analysis platform facilitating user-defined queries across the different data types.

Animals↗

Differentiation of Salmonella Gallinarum biovar Gallinarum from Salmonella Gallinarum biovar Pullorum by PCR-RFLP of the fimH gene.

In our studies on FimH adhesins expressed by different Salmonella serovars, we cloned and sequenced the fimH genes from Salmonella enterica ssp. Enterica ser. Gallinarum biovar Gallinarum and S. enterica ssp. Enterica ser. Gallinarum biovar Pullorum. Comparison of the nucleotide sequences revealed the presence of a single-nucleotide polymorphism (SNP) at position 544 bp from the A of the start codon of the fimH open reading frame (ORF). Further analysis of the restriction enzyme sites in fimH gene showed that the SNP at this position is responsible for a sequence specifically recognized by SacI in S. Gallinarum biovar Gallinarum only, making it possible to differentiate both biovars with the use of polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Digestion of PCR amplicons of the fimH gene from S. Gallinarum biovar Gallinarum strains with SacI gave two DNA fragments of 554 and 472 bp and only one fragment of 1026 bp for S. Gallinarum biovar Pullorum. This allows a clear differentiation between these two biovars.

Animals↗

[Genetic variations of the tumor suppressor TP53: outstanding and strategies of analysis].

In the modern society, cancer remains an important cause of death. Cancer development is a very complex process that involves alterations in genes regulating cellular growth. Among these alterations or variations, are included point mutations, genetic susceptibility by single nucleotide polymorphisms or "SNP" and alteration or loss in tumor suppressor genes functions. The tumor suppressor TP53 is one of the most important and studied genes on cancer genetics. Therefore, it has been demonstrated that TP53 present mutations in more than 50% of all types of human cancer and encodes a multifunctional protein whose absence contributes to genomic instability, the accumulation of mutations and increased tumor development. The identification of such alterations in cancerous cells at level of single nucleotide is very important, because its implication in the loss or alteration in the function of this gene, its clinical relevance and finally, its association with response to therapy and prognosis. Due to the large interesting issue, in this work we are focused only in two of the most common genetic variations present in this gene: the point mutations and SNP remarking some outstanding molecular characteristics needed for design its analysis.

Cocarcinogenesis↗

SNP500Cancer: a public resource for sequence validation, assay development, and frequency analysis for genetic variation in candidate genes.

The SNP500Cancer database provides sequence and genotype assay information for candidate SNPs useful in mapping complex diseases, such as cancer. The database is an integral component of the NCI Cancer Genome Anatomy Project (http://cgap.nci.nih.gov). SNP500Cancer reports sequence analysis of anonymized control DNA samples (n = 102 Coriell samples representing four self-described ethnic groups: African/African-American, Caucasian, Hispanic and Pacific Rim). The website is searchable by gene, chromosome, gene ontology pathway, dbSNP ID and SNP500Cancer SNP ID. As of October 2005, the database contains >13 400 SNPs, 9124 of which have been sequenced in the SNP500Cancer population. For each analysed SNP, gene location and >200 bp of surrounding annotated sequence (including nearby SNPs) are provided, with frequency information in total and per subpopulation as well as calculation of Hardy-Weinberg equilibrium for each subpopulation. The website provides the conditions for validated sequencing and genotyping assays, as well as genotype results for the 102 samples, in both viewable and downloadable formats. A subset of sequence validated SNPs with minor allele frequency >5% are entered into a high-throughput pipeline for genotyping analysis to determine concordance for the same 102 samples. In addition, the results of genotype analysis for select validated SNP assays (defined as 100% concordance between sequence analysis and genotype results) are posted for an additional 280 samples drawn from the Human Diversity Panel (HDP). SNP500Cancer provides an invaluable resource for investigators to select SNPs for analysis, design genotyping assays using validated sequence data, choose selected assays already validated on one or more genotyping platforms, and select reference standards for genotyping assays. The SNP500Cancer database is freely accessible via the web page at http://snp500cancer.nci.nih.gov.

Databases, Genetic↗

Linkage analysis of alcohol dependence using MOD scores.

Alcohol dependence is a typical example of a complex trait that is governed by several genes and for which the mode of inheritance is unknown. We analyzed the microsatellite markers and the Affymetrix single-nucleotide polymorphisms (SNPs) for a subset of the Collaborative Study on the Genetics of Alcoholism family sample, 93 pedigrees of Caucasian ancestry comprising 919 persons, 390 of whom are affected according to DSM III-R and Feighner criteria. In particular, we performed parametric single-marker linkage analysis using MLINK of the LINKAGE package (for the microsatellite data), as well as multipoint MOD-score analysis with GENEHUNTER-MODSCORE (for the microsatellite and SNP data). By use of two liability classes, different penetrances were assigned to males and females. In order to investigate parent-of-origin effects, we calculated MOD scores under trait models with and without imprinting. In addition, for the microsatellite data, the MOD-score analysis was performed with sex-averaged as well as sex-specific maps. The highest linkage peaks were obtained on chromosomes 1, 2, 7, 10, 12, 13, 15, and 21. There was evidence for paternal imprinting at the loci on chromosomes 2, 10, 12, 13, 15, and 21. A tendency to maternal imprinting was observed at two loci on chromosome 7. Our findings underscore the fact that an adequate modeling of the genotype-phenotype relation is crucial for the genetic mapping of a complex trait.

Alcoholism↗

Multiplex single nucleotide polymorphism genotyping by adapter ligation-mediated allele-specific amplification.

An improved approach for increasing the multiplex level of single nucleotide polymorphism (SNP) typing by adapter ligation-mediated allele-specific amplification (ALM-ASA) has been developed. Based on an adapter ligation, each reaction requires n allele-specific primers plus an adapter-specific primer that is common for all SNPs. Thus, only n+1 primers are used for an n-plex PCR amplification. The specificity of ALM-ASA was increased by a special design of the adapter structure and PCR suppression. Given that the genetic polymorphisms in the liver enzyme cytochrome P450 CYP2D6 (debrisoquine 4-hydroxylase) have profound effects on responses of individuals to a particular drug, we selected 17 SNPs in the CYP2D6 gene as an example for the multiplex SNP typing. Without extensive optimization, we successfully typed 17-plex SNPs in the CYP2D6 gene by ALM-ASA. The results for genotyping 70 different genome samples by the 17-plex ALM-ASA were completely consistent with those obtained by both Sanger's sequencing and PCR restriction fragment length polymorphism (PCR-RFLP) analysis. ALM-ASA is a potential method for SNP typing at an ultra-low cost because of a high multiplex level and a simple optimization step for PCR. High-throughput SNP typing could be readily realized by coupling ALM-ASA with a well-developed automation device for sample processing.

Alleles↗

Mass spectrometry-based clinical proteomics.

In recent years, mass spectrometry (MS) has been recognized as a 'Gold Standard' tool for the identification and analysis of individual proteins in expression proteomics studies. Moreover, MS has proven useful for the analysis of nucleic acids for single nucleotide polymorphism (SNP) genotyping purposes. With the increased usage of MS as a standard tool for life science applications and the advancement of MS instrumentation, sample preparation and bioinformatics, MS technology has entered novel screening and discovery application areas that are beyond the traditional protein identification and characterization applications. The areas of clinical diagnostics and predictive medicine are just two prime examples of these fields. Predictive markers or biomarkers for early diagnosis of diseases are of growing importance for the human healthcare community. The goal of using MS in clinical proteomics is to generate protein profiles (mass to charge [m/z] ratio versus signal intensity) from readily available body fluids like serum, saliva and urine to detect changes in protein levels that reflect changes in the disease states. Whereas the results originating from individual protein markers may be intriguing, data resulting from the analysis of complex, multiple biomarker patterns may be unequivocal. These biomarker patterns are hidden in complex mass spectra and are not always obvious to the human eye. Sophisticated bioinformatics algorithms have to be applied to determine these unique biomarker patterns. Here, we review the latest developments concerning the use of MS for the discovery of biomarker patterns and for the identification of individual biomarkers in the field of clinical proteomics applications.

Biomarkers↗

Enhanced allele-specific PCR discrimination in SNP genotyping using 3' locked nucleic acid (LNA) primers.

The specificity and reliability of locked nucleic acid (LNA) substitution at the 3' position of allele-specific PCR (AS-PCR) primers for SNP detection was investigated in direct comparison to DNA primers. Both plasmid and human genomic DNA templates were examined in this study. All possible DNA and 3' LNA mismatch combinations were tested in triplicate with the plasmid target. LNA primers yield consistently low amounts of mismatch products with all base combinations, whereas certain mismatches with DNA primers generate strong false positive amplicons. Amplified human SNP alleles within the cystic fibrosis (CFTR) gene were analyzed in AS-PCR by gel analysis and real-time fluorescence generation. A 3' LNA residue in the primer at the SNP site improves allelic discrimination and functions under a wide window of PCR conditions. We demonstrate increased AS-PCR specificity with comparable sensitivity using 3' LNA primers in gel electrophoresis and real-time detection experiments. This increase in AS-PCR discrimination with 3' LNA primers should facilitate the use of this simple, rapid, and inexpensive technique for SNP genotyping applications.

Alleles↗