High-resolution SNP scan of chromosome 6p21 in pooled samples from patients with complex diseases

Association between the autophagy-related gene ULK1 and ankylosing spondylitis susceptibility in the Chinese Han population: a case-control study

PURPOSE

Ankylosing spondylitis (AS), inflammatory bowel disease and Crohn's disease (CD) often coexist in the same patient and these diseases have remarkably strong overlaps in genetic association. The association between Unc51like kinase 1 (ULK1) gene polymorphisms and CD has been reported, and the aim of the current study was to investigate whether ULK1 polymorphisms are also associated with susceptibility to AS in the Chinese Han population.

METHODS

Five tagging single nucleotide polymorphisms in the ULK1 gene (rs9652059, rs11616018, rs12303764, rs4964879 and rs7300908) were genotyped by the improved multiplex ligase detection reaction method in a cohort of patients with AS (n=649) and controls (n=628). Various genetic models were performed and haplotypes were constructed after linkage disequilibrium analysis.

RESULTS

A statistically significant difference was found in the dominant model of the rs9652059 polymorphism (OR (95% CI) = 0.796 (0.638 to 0.994), χ² = 4.064, p= 0.044). Haplotypes were conducted between rs9652059 and rs11616018, rs11616018 and rs4964879, rs9652059 and rs4964879 based on D' ≥0.9 and r² ≥ 0.6. Ht5 (rs9652059^C-rs4964879^G) haplotype was associated with AS (OR (95% CI) = 0.834 (0.706 to 0.985), χ²=4.555, p= 0.0328) and other two haplotypes were marginally correlated with AS (ht2 (rs9652059^C-rs11616018^T): OR (95% CI) = 0.846 (0.717 to 1.000), χ²= 3.864, p= 0.0493); ht3 (rs9652059^T-rs11616018^T): OR (95% CI) = 1.440 (0.999 to 2.076), χ² = 3.849, p = 0.0498).

CONCLUSIONS

Our findings suggest that rs9652059 variation (C→T) could increase AS susceptibility and haplotypes of rs9652059^C-rs4964879^G, rs9652059^C-rs11616018^T and rs9652059^T-rs11616018^T may be associatd with AS.

Genome-wide haplotype association study identify TNFRSF1A, CASP7, LRP1B, CDH1 and TG genes associated with Alzheimer's disease in Caribbean Hispanic individuals

Alzheimer's disease (AD) is an acquired disorder of cognitive and behavioral impairment. It is considered to be caused by variety of factors, such as age, environment and genetic factors. In order to identify the genetic affect factors of AD, we carried out a bioinformatic approach which combined genome-wide haplotype-based association study with gene prioritization. The raw SNP genotypes data was downloaded from GEO database (GSE33528). It contains 615 AD patients and 560 controls of Caribbean Hispanic individuals. Firstly, we identified the linkage disequilibrium (LD) haplotype blocks and performed genome-wide haplotype association study to screen significant haplotypes that were associated with AD. Then we mapped these significant haplotypes to genes and obtained candidate genes set for AD. At last, we prioritized AD candidate genes based on their similarity with 36 known AD genes, so as to identify AD related genes. The results showed that 141 haplotypes on 134 LD blocks were significantly associated with AD (P<1E-4), and these significant haplotypes were mapped to 132 AD candidate genes. After prioritizing these candidate genes, we found seven AD related genes: APOE, APOC1, TNFRSF1A, LRP1B, CDH1, TG and CASP7. Among these genes, APOE and APOC1 are known AD risk genes. For the other five genes TNFRSF1A, CDH1, CASP7, LRP1B and TG, this is the first genetic association study which showed the significant association between these five genes and AD susceptibility in Caribbean Hispanic individuals. We believe that our findings can provide a new perspective to understand the genetic affect factors of AD.

Detection of copy number variation by SNP-allelotyping

Charcot-Marie-Tooth disease type 1A (CMT1A) is caused by an abnormal copy number variation (CNV) with a trisomy of chromosome 17p12. The increase of the DNA-segment copy number is expected to alter the allele frequency of single nucleotide polymorphism (SNP) within the duplicated region. We tested whether SNP allele frequency determined by a Sequenom MassArray can be used to detect the CMT1A mutation. Our results revealed distinct patterns of SNP allele frequency distribution, which reliably differentiated CMT1A patients from controls. This finding suggests that this technique may serve as an alternative approach to identifying CNV in certain diseases, including CMT1A.

MALDI-TOF mass spectrometry

Major strengths of mass spectrometry analysis include the accuracy of the detection principle, automatic data storage as well as simplicity and flexibility of assay design making it a premier choice for targeted genotyping of sequence variations. We explain the assay principle in detail and give step-by-step laboratory instructions. Finally, references point toward further use of mass spectrometry analysis for molecular haplotyping, re-sequencing, and quantitative analysis for copy number variations and gene expression studies are given.

FREQ-Seq: a rapid, cost-effective, sequencing-based method to determine allele frequencies directly from mixed populations

Understanding evolutionary dynamics within microbial populations requires the ability to accurately follow allele frequencies through time. Here we present a rapid, cost-effective method (FREQ-Seq) that leverages Illumina next-generation sequencing for localized, quantitative allele frequency detection. Analogous to RNA-Seq, FREQ-Seq relies upon counts from the >10⁵ reads generated per locus per time-point to determine allele frequencies. Loci of interest are directly amplified from a mixed population via two rounds of PCR using inexpensive, user-designed oligonucleotides and a bar-coded bridging primer system that can be regenerated in-house. The resulting bar-coded PCR products contain the adapters needed for Illumina sequencing, eliminating further library preparation. We demonstrate the utility of FREQ-Seq by determining the order and dynamics of beneficial alleles that arose as a microbial population, founded with an engineered strain of Methylobacterium, evolved to grow on methanol. Quantifying allele frequencies with minimal bias down to 1% abundance allowed effective analysis of SNPs, small in-dels and insertions of transposable elements. Our data reveal large-scale clonal interference during the early stages of adaptation and illustrate the utility of FREQ-Seq as a cost-effective tool for tracking allele frequencies in populations.

Study of HLA Class I gene in Indian schizophrenic patients of Siliguri, West Bengal

The authors studied the prevalence of the human leukocyte antigen (HLA) Class I gene in 136 (85 male, 51 female) India-born schizophrenia patients residing in and around the Siliguri subdivision of West Bengal by the PCR-SSP method. The control group consisted of 150 age- and sex-matched healthy individuals from the same ethnic group as the patients. Increased frequency of HLA A*03 as well as decreased frequencies of HLA A*31 and HLA B*51, was noted. The study suggests the possible existence of a susceptibility locus for schizophrenia within the HLA region.

Genetic evidence supporting the association of protease and protease inhibitor genes with inflammatory bowel disease: a systematic review

As part of the European research consortium IBDase, we addressed the role of proteases and protease inhibitors (P/PIs) in inflammatory bowel disease (IBD), characterized by chronic mucosal inflammation of the gastrointestinal tract, which affects 2.2 million people in Europe and 1.4 million people in North America. We systematically reviewed all published genetic studies on populations of European ancestry (67 studies on Crohn's disease [CD] and 37 studies on ulcerative colitis [UC]) to identify critical genomic regions associated with IBD. We developed a computer algorithm to map the 807 P/PI genes with exact genomic locations listed in the MEROPS database of peptidases onto these critical regions and to rank P/PI genes according to the accumulated evidence for their association with CD and UC. 82 P/PI genes (75 coding for proteases and 7 coding for protease inhibitors) were retained for CD based on the accumulated evidence. The cylindromatosis/turban tumor syndrome gene (CYLD) on chromosome 16 ranked highest, followed by acylaminoacyl-peptidase (APEH), dystroglycan (DAG1), macrophage-stimulating protein (MST1) and ubiquitin-specific peptidase 4 (USP4), all located on chromosome 3. For UC, 18 P/PI genes were retained (14 proteases and 4 protease inhibitors), with a considerably lower amount of accumulated evidence. The ranking of P/PI genes as established in this systematic review is currently used to guide validation studies of candidate P/PI genes, and their functional characterization in interdisciplinary mechanistic studies in vitro and in vivo as part of IBDase. The approach used here overcomes some of the problems encountered when subjectively selecting genes for further evaluation and could be applied to any complex disease and gene family.

Potential therapeutic target discovery by 2D-DIGE proteomic analysis in mouse models of asthma

As asthma physiopathology is complex and not fully understood to date; it is expected that new key mediators are still to be unveiled in this disease. The main objective of this study was to discover potential new target proteins with a molecular weight >20 kDa by using two-dimensional differential in-gel electrophoresis (2D-DIGE) on lung parenchyma extracts from control or allergen-exposed mice (ovalbumin). Two different mouse models leading to the development of acute airway inflammation (5 days allergen exposure) and airway remodeling (10 weeks allergen exposure) were used. This experimental setting allowed the discrimination of 33 protein spots in the acute inflammation model and 31 spots in the remodeling model displaying a differential expression. Several proteins were then identified by MALDI-TOF/TOF MS. Among those differentially expressed proteins, PDIA6, GRP78, Annexin A6, hnRPA3, and Enolase display an increased expression in lung parenchyma from mice exposed to allergen for 5 days. Conversely, Apolipoprotein A1 was shown to be decreased after allergen exposure in the same model. Analysis on lung parenchyma of mice exposed to allergens for 10 weeks showed decreased calreticulin levels. Changes in the levels of those different mediators were confirmed by Western blot and immunohistochemical analysis. Interestingly, alveolar macrophages isolated from lungs in the acute inflammation model displayed enhanced levels of GRP78. Moreover, intratracheal instillation of anti-GRP78 siRNA in allergen-exposed animals led to a decrease in eosinophilic inflammation and bronchial hyperresponsiveness. This study unveils new mediators of potential importance that are up- and down-regulated in asthma. Among up-regulated mediators, GRP-78 appears as a potential new therapeutic target worthy of further investigations.

Genetic and Molecular Basis of QTL of Diabetes in Mouse: Genes and Polymorphisms

A systematic study has been conducted of all available reports in PubMed and OMIM (Online Mendelian Inheritance in Man) to examine the genetic and molecular basis of quantitative genetic loci (QTL) of diabetes with the main focus on genes and polymorphisms. The major question is, What can the QTL tell us? Specifically, we want to know whether those genome regions differ from other regions in terms of genes relevant to diabetes. Which genes are within those QTL regions, and, among them, which genes have already been linked to diabetes? whether more polymorphisms have been associated with diabetes in the QTL regions than in the non-QTL regions.

Our search revealed a total of 9038 genes from 26 type 1 diabetes QTL, which cover 667,096,006 bp of the mouse genomic sequence. On one hand, a large number of candidate genes are in each of these QTL; on the other hand, we found that some obvious candidate genes of QTL have not yet been investigated. Thus, the comprehensive search of candidate genes for known QTL may provide unexpected benefit for identifying QTL genes for diabetes.

Association mapping using pooled DNA

The genetic dissection of complex disorders via genetic marker data has gained popularity in the postgenome era. Methods for typing genetic markers on human chromosomes continue to improve. Compared with the popular individual genotyping experiment, a pooled-DNA experiment (alleotyping experiment) is more cost effective when carrying out genetic typing. This chapter provides an overview of association mapping using pooled DNA and describes a five-stage study design including the preliminary calibration of peak intensities, estimation of allele frequency, single-locus association mapping, multilocus association mapping, and a confirmation study. Software and an analysis of authentic data are presented. The strengths and weaknesses of pooled-DNA analyses, as well as possible future applications for this method, are discussed.

Altered levels of acute phase proteins in the plasma of patients with schizophrenia

Schizophrenia is a relatively common psychiatric syndrome that affects virtually all brain functions. We investigated the plasma proteome of 22 schizophrenia male patients and 20 healthy male controls using two-dimensional gel electrophoresis and mass spectrometry. In total, we have identified 66 protein spots in human plasma and found that seven of them showed altered changes in schizophrenia patients, as compared to healthy controls, which mainly were acute phase proteins (APPs). Among these APPs, haptoglobin alpha2 chain (p < 0.001), haptoglobin beta chain (p < 0.001), alpha1-antitrypsin (p = 0.001), and complement factor B precursor (p = 0.022) showed overexpression in schizophrenia patients, whereas apolipoprotein A-I (p = 0.034) and transthyretin (p = 0.035) were found to be significantly decreased in patients. In addition, the expression of apolipoprotein A-IV (p = 0.018) was significantly up-regulated in schizophrenia patients, as compared to controls. We also found these APP genes, which were differentially expressed in this study, overlap in the schizophrenia susceptibility loci. Our findings further support the hypothesis that the inflammatory response system is linked to the pathophysiology of schizophrenia.

Increased levels of serum soluble L-selectin in unmedicated patients with schizophrenia

OBJECTIVE

Numerous studies have linked schizophrenia with altered immune function. The selectin family of adhesion molecules plays a prominent role in immune/inflammatory responses. To further study the immunological processes in the pathophysiology of schizophrenia, we determined the serum levels of selectins in patients with schizophrenia. For specificity, we also investigated selectin levels in patients with major depression.

METHOD

We studied 23 unmedicated patients with schizophrenia, 17 unmedicated patients with major depression, and 36 healthy subjects. The serum levels of three types of soluble-form selectin (sE-, sL- and sP-selectin) were determined by enzyme-linked immunosorbent assay (ELISA).

RESULTS

Serum sL-selectin levels were significantly higher in patients with schizophrenia than in either control subjects (p=0.005) or patients with major depression (p=0.02). No significant difference was found with regard to the level of either serum sE-selectin or sP-selectin.

CONCLUSION

Elevated sL-selectin levels in patients with schizophrenia may represent immune system dysfunction and may be involved in the pathogenesis of the illness.

DNA pooling: a comprehensive, multi-stage association analysis of ACSL6 and SIRT5 polymorphisms in schizophrenia

Many candidate gene association studies have evaluated incomplete, unrepresentative sets of single nucleotide polymorphisms (SNPs), producing non-significant results that are difficult to interpret. Using a rapid, efficient strategy designed to investigate all common SNPs, we tested associations between schizophrenia and two positional candidate genes: ACSL6 (Acyl-Coenzyme A synthetase long-chain family member 6) and SIRT5 (silent mating type information regulation 2 homologue 5). We initially evaluated the utility of DNA sequencing traces to estimate SNP allele frequencies in pooled DNA samples. The mean variances for the DNA sequencing estimates were acceptable and were comparable to other published methods (mean variance: 0.0008, range 0-0.0119). Using pooled DNA samples from cases with schizophrenia/schizoaffective disorder (Diagnostic and Statistical Manual of Mental Disorders edition IV criteria) and controls (n=200, each group), we next sequenced all exons, introns and flanking upstream/downstream sequences for ACSL6 and SIRT5. Among 69 identified SNPs, case-control allele frequency comparisons revealed nine suggestive associations (P<0.2). Each of these SNPs was next genotyped in the individual samples composing the pools. A suggestive association with rs 11743803 at ACSL6 remained (allele-wise P=0.02), with diminished evidence in an extended sample (448 cases, 554 controls, P=0.062). In conclusion, we propose a multi-stage method for comprehensive, rapid, efficient and economical genetic association analysis that enables simultaneous SNP detection and allele frequency estimation in large samples. This strategy may be particularly useful for research groups lacking access to high throughput genotyping facilities. Our analyses did not yield convincing evidence for associations of schizophrenia with ACSL6 or SIRT5.

PDA: Pooled DNA analyzer

Background

Association mapping using abundant single nucleotide polymorphisms is a powerful tool for identifying disease susceptibility genes for complex traits and exploring possible genetic diversity. Genotyping large numbers of SNPs individually is performed routinely but is cost prohibitive for large-scale genetic studies. DNA pooling is a reliable and cost-saving alternative genotyping method. However, no software has been developed for complete pooled-DNA analyses, including data standardization, allele frequency estimation, and single/multipoint DNA pooling association tests. This motivated the development of the software, 'PDA' (Pooled DNA Analyzer), to analyze pooled DNA data.

Results

We develop the software, PDA, for the analysis of pooled-DNA data. PDA is originally implemented with the MATLAB^® language, but it can also be executed on a Windows system without installing the MATLAB^®. PDA provides estimates of the coefficient of preferential amplification and allele frequency. PDA considers an extended single-point association test, which can compare allele frequencies between two DNA pools constructed under different experimental conditions. Moreover, PDA also provides novel chromosome-wide multipoint association tests based on p-value combinations and a sliding-window concept. This new multipoint testing procedure overcomes a computational bottleneck of conventional haplotype-oriented multipoint methods in DNA pooling analyses and can handle data sets having a large pool size and/or large numbers of polymorphic markers. All of the PDA functions are illustrated in the four bona fide examples.

Conclusion

PDA is simple to operate and does not require that users have a strong statistical background. The software is available at .

Typing of single nucleotide polymorphisms by MALDI mass spectrometry: Principles and diagnostic applications

BACKGROUND

After the completion of the human genome sequencing project human genetics has now shifted its focus to DNA variation. DNA variation analysis is considered to be a key in partly understanding the mechanisms of complex diseases or varying patient responses in drug treatment. One of the major goals in genetics is finding the DNA variants that can act as diagnostic markers for predisposition to specific diseases. Moreover, in microbiology DNA variation has long been known to help discriminate and identify bacterial strains and viruses. Diagnostics based on DNA or RNA detection might be advantageous as an early-stage indication can be provided.

METHODS

Many simple and efficient methods for the analysis of nucleic acids are already available. Consequently, the last few years have seen an increased in the use of large-scale analysis of nucleic acids, in basic DNA variation studies along with diagnostics. Mass spectrometry techniques such as matrix-assisted laser desorption/ionization (MALDI) and electrospray ionization (ESI) can be of great use for genome variation analysis. In particular high-throughput SNP analysis by MALDI can be performed using fully integrated platforms.

CONCLUSIONS

Mass spectrometry-based procedures have promise for SNPs analysis especially for clinical diagnostics.

Quantitative high-throughput analysis of DNA methylation patterns by base-specific cleavage and mass spectrometry

Methylation is one of the major epigenetic processes pivotal to our understanding of carcinogenesis. It is now widely accepted that there is a relationship between DNA methylation, chromatin structure, and human malignancies. DNA methylation is potentially an important clinical marker in cancer molecular diagnostics. Understanding epigenetic modifications in their biological context involves several aspects of DNA methylation analysis. These aspects include the de novo discovery of differentially methylated genes, the analysis of methylation patterns, and the determination of differences in the degree of methylation. Here we present a previously uncharacterized method for high-throughput DNA methylation analysis that utilizes MALDI-TOF mass spectrometry (MS) analysis of base-specifically cleaved amplification products. We use the IGF2/H19 region to show that a single base-specific cleavage reaction is sufficient to discover methylation sites and to determine methylation ratios within a selected target region. A combination of cleavage reactions enables the complete evaluation of all relevant aspects of DNA methylation, with most CpGs represented in multiple reactions. We successfully applied this technology under high-throughput conditions to quantitatively assess methylation differences between normal and neoplastic lung cancer tissue samples from 48 patients in 47 genes and demonstrate that the quantitative methylation results allow accurate classification of samples according to their histopathology.

Gene mapping with pooled samples on three genotyping platforms

We have evaluated three genotyping techniques to detect allelic association between single nucleotide polymorphisms (SNPs) and disease loci by using pooled DNA samples. The use of DNA pools instead of individual samples saves considerably time, DNA quantity, and reagent costs. The methods that were compared were PCR-restriction fragment length polymorphism (PCR-RFLP), Single nucleotide primer extension, and chip-based mass spectrometry. As a model disease we studied an autosomal recessive disorder, congenital chloride diarrhea (CLD), caused by mutations in the human gene SLC26A3 on chromosome 7q31. Patient, carrier, and control pools were genotyped with eight SNP markers located within 10 cM around the target gene. Measured allele frequencies were consistent between the three platforms and we detected disease association with a cluster of several SNPs, the most significant being the marker located closest to the target gene (p=1.56 x 10(-16)). The largest source of error in pooled genotyping was shown to be the volumetric error in preparing the pools. The PCR-RFLP method was further evaluated by applying the pooling strategy to an ongoing multicenter-study. Measured allele frequencies of six polymorphisms agreed well with those measured individually and confirmed that multiple platforms are suitable for pooled genotyping.

Genotyping single nucleotide polymorphisms by MALDI mass spectrometry in clinical applications

Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry has become one of the most powerful and widely applied technologies for SNP scoring and determination of allele frequencies in the post-genome sequencing era. Although different strategies for allele discrimination combined with MALDI were devised, in practice only primer extension methods are nowadays routinely used. This combination enables the rapid, quantitative, and direct detection of several genetic markers simultaneously in a broad variety of biological samples. In the field of molecular diagnostics, MALDI has been applied to the discovery of genetic markers, that are associated with a phenotype like a disease susceptibility or drug response, as well as an alternative means for diagnostic testing of a range of diseases for which the responsible mutations are already known. It is one of the first techniques with which whole genome scans based on single nucleotide polymorphisms were carried out. It is equally well suited for pathogen identification and the detection of emerging mutant strains as well as for the characterization of the genetic identity and quantitative trait loci mapping in farm animals. MALDI can also be used as a detection platform for a range of novel applications that are more demanding than standard SNP genotyping such as mutation/polymorphism discovery, molecular haplotyping, analysis of DNA methylation, and expression profiling. This review gives an introduction to the application of mass spectrometry for DNA analysis, and provides an overview of most studies using SNPs as genetic markers and MALDI mass spectrometric detection that are related to clinical applications and molecular diagnostics. Further, it aims to show specialized applications that might lead to diagnostic applications in the future. It does not speculate on whether this methodology will ever reach the diagnostic market.

Immune dysregulation and self‐reactivity in schizophrenia: Do some cases of schizophrenia have an autoimmune basis?

Schizophrenia affects 1% of the world's population, but its cause remains obscure. Numerous theories have been proposed regarding the cause of schizophrenia, ranging from developmental or neurodegenerative processes or neurotransmitter abnormalities to infectious or autoimmune processes. In this review, findings suggestive of immune dysregulation and reactivity to self in patients with schizophrenia are examined with reference to criteria for defining whether or not a human disease is autoimmune in origin. Associations with other autoimmune diseases and particular MHC haplotypes, increased serum levels of autoantibodies, and in vivo and in vitro replication of some of the functional and ultrastructural abnormalities of schizophrenia by transfer of autoantibodies from the sera of patients with schizophrenia suggest that, in some patients at least, autoimmune mechanisms could play a role in the development of disease. Recent findings regarding specific autoimmune responses directed against neurotransmitter receptors in the brain in patients with schizophrenia will also be reviewed.

Variants in the vitamin D receptor gene and asthma

BACKGROUND

Early lifetime exposure to dietary or supplementary vitamin D has been predicted to be a risk factor for later allergy. Twin studies suggest that response to vitamin D exposure might be influenced by genetic factors. As these effects are primarily mediated through the vitamin D receptor (VDR), single base variants in this gene may be risk factors for asthma or allergy.

RESULTS

951 individuals from 224 pedigrees with at least 2 asthmatic children were analyzed for 13 SNPs in the VDR. There was no preferential transmission to children with asthma. In their unaffected sibs, however, one allele in the 5' region was 0.5-fold undertransmitted (p = 0.049), while two other alleles in the 3' terminal region were 2-fold over-transmitted (p = 0.013 and 0.018). An association was also seen with bronchial hyperreactivity against methacholine and with specific immunoglobulin E serum levels.

CONCLUSION

The transmission disequilibrium in unaffected sibs of otherwise multiple-affected families seem to be a powerful statistical test. A preferential transmission of vitamin D receptor variants to children with asthma could not be confirmed but raises the possibility of a protective effect for unaffected children.

DNA analysis by MALDI-TOF mass spectrometry

The last decade has seen an increased demand for high-throughput DNA analysis. This is mainly due to the human genome sequencing project that is now completed. Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry was pinpointed early on as a technology that could be of great use for sequence variation analysis in the post-genome sequencing era. Applications developed first on this platform were for SNP genotyping. Several strategies for allele-discrimination (hybridization, cleavage, ligation, and primer extension) were combined with MALDI-TOF mass spectrometric detection. Nowadays, in practice, only primer extension methods are applied for large-scale SNP genotyping studies with MALDI-TOF detection. Problems surrounding the integration of SNP genotyping by MALDI-TOF mass spectrometry at high throughput are largely mastered now. Mass spectrometry geared presentations at the HUGO Mutation Detection Meeting in Palm Cove, Australia almost exclusively focused on novel applications that go beyond standard SNP genotyping. These applications are more demanding in terms of chemistry and molecular biology. Molecular haplotyping, expression profiling, DNA methylation analysis, and mutation detection are now being demonstrated.

Target SNP selection in complex disease association studies

BACKGROUND

The massive amount of SNP data stored at public internet sites provides unprecedented access to human genetic variation. Selecting target SNP for disease-gene association studies is currently done more or less randomly as decision rules for the selection of functional relevant SNPs are not available.

RESULTS

We implemented a computational pipeline that retrieves the genomic sequence of target genes, collects information about sequence variation and selects functional motifs containing SNPs. Motifs being considered are gene promoter, exon-intron structure, AU-rich mRNA elements, transcription factor binding motifs, cryptic and enhancer splice sites together with expression in target tissue. As a case study, 396 genes on chromosome 6p21 in the extended HLA region were selected that contributed nearly 20,000 SNPs. By computer annotation ~2,500 SNPs in functional motifs could be identified. Most of these SNPs are disrupting transcription factor binding sites but only those introducing new sites had a significant depressing effect on SNP allele frequency. Other decision rules concern position within motifs, the validity of SNP database entries, the unique occurrence in the genome and conserved sequence context in other mammalian genomes.

CONCLUSION

Only 10% of all gene-based SNPs have sequence-predicted functional relevance making them a primary target for genotyping in association studies.

Mining Disease Susceptibility Genes through SNP Analyses and Expression Profiling Using MALDI-TOF Mass Spectrometry

To find genes that underlie disease susceptibilities, genome-wide single nucleotide polymorphisms (SNPs) have been analyzed using high-throughput matrix assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS). As a proof-of-concept for this approach, gene regions have been identified that were previously associated by others with certain diseases or traits. On the same technology platform, accurate and absolute transcriptional profiling can be performed and applied to allele expression analysis. Here, we provide a brief review of the technology and its applications to disease gene discovery.

Association of the interleukin-1 receptor antagonist gene with asthma

The interleukin-1 cluster on human chromosome 2q12-2q14 harbors various promising candidate genes for asthma and other inflammatory diseases. We conducted a systematic association study with single-nucleotide polymorphisms (SNPs) located in candidate genes situated in this cluster. Single-marker, two-locus and three-locus haplotype analysis of SNPs yielded several significant results (p < 0.05-0.0021) for the human IL1RN gene encoding the IL-1 receptor antagonist protein, an antiinflammatory cytokine that plays an important role in maintaining the balance between inflammatory and antiinflammatory cytokines. These findings were replicated and confirmed in an independent Italian family sample in which significant, although weaker, association with asthma was detected. A sequencing approach to the coding region of the human IL1RN gene revealed additional DNA variants, from which a selection was also associated with the disease in German and Italian samples. Calculation of the linkage disequilibrium for the human IL1RN gene showed strong linkage disequilibrium for nearly all analyzed SNPs. Further haplotype analysis indicated that six SNPs are sufficient for tagging all haplotypes with a prevalence of more than 1%. The most frequent haplotype constructed from these SNPs was 1.4-fold overtransmitted in the German family sample.