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PubMed2003

Cdx-2 polymorphism in the promoter region of the human vitamin D receptor gene determines susceptibility to fracture in the elderly.

UNLABELLED: A Cdx-2 binding site polymorphism (G to A) in the promoter region of the human vitamin D receptor gene was reported. In an ecological study in eight ethnic groups and an association study in 2848 elderly whites, we found the A-allele to be associated with decreased fracture risk. Our findings expand previous similar findings in a Japanese study to whites and show a relationship with fracture risk of this functional polymorphism. INTRODUCTION: A single nucleotide polymorphism (SNP) within a binding site of the intestinal-specific transcription factor Cdx-2 in the promoter region of the human vitamin D receptor (VDR) gene was previously reported. It was found to modulate the transcription of the hVDR gene and to be associated with decreased bone mineral density in a small group of postmenopausal Japanese women. In this study, we investigated the relationship between the VDR Cdx-2 genotype and risk of fracture. METHODS: We first determined the location of this SNP in the VDR gene by sequencing analysis, and we developed an allele-specific multiplex polymerase chain reaction test to determine the Cdx-2 genotype. We then performed an ecological study in eight ethnic groups and an association analysis in a large epidemiological cohort of 2848 Dutch white men and women, > or = 55 years old. RESULTS AND CONCLUSIONS: The location of the G to A substitution was found in the promoter region of exon le (le-G-1739A) of the VDR gene. By comparing the frequency of the A-allele in eight different ethnic groups, we observed a negative correlation between prevalence of the A-allele and published hip fracture incidence rates in these ethnic groups (p = 0.006 for men and p = 0.02 for women), suggesting a protective effect of this allele on fracture risk. Subsequently, in the association study, the A-allele (population frequency 19%) was observed to have a protective effect on occurrence of osteoporotic fractures, especially for nonvertebral fracture in women (relative risk of AA versus GG genotype is 0.2; 95% CI, 0.05-0.8). This effect remained after adjustment for age, weight, and bone mineral density. We conclude that the A-allele of the VDR Cdx-2 polymorphism is present in whites, albeit at low frequency, and show a protective effect of this allele on risk of fracture.

Aged↗

PubMed2004

Genotyping of single-nucleotide polymorphisms by high-resolution melting of small amplicons.

BACKGROUND: High-resolution melting of PCR amplicons with the DNA dye LCGreen I was recently introduced as a homogeneous, closed-tube method of genotyping that does not require probes or real-time PCR. We adapted this system to genotype single-nucleotide polymorphisms (SNPs) after rapid-cycle PCR (12 min) of small amplicons (</=50 bp). METHODS: Engineered plasmids were used to study all possible SNP base changes. In addition, clinical protocols for factor V (Leiden) 1691G>A, prothrombin 20210G>A, methylenetetrahydrofolate reductase (MTHFR) 1298A>C, hemochromatosis (HFE) 187C>G, and beta-globin (hemoglobin S) 17A>T were developed. LCGreen I was included in the reaction mixture before PCR, and high-resolution melting was obtained within 2 min after amplification. RESULTS: In all cases, heterozygotes were easily identified because heteroduplexes altered the shape of the melting curves. Approximately 84% of human SNPs involve a base exchange between A::T and G::C base pairs, and the homozygotes are easily genotyped by melting temperatures (T(m)s) that differ by 0.8-1.4 degrees C. However, in approximately 16% of SNPs, the bases only switch strands and preserve the base pair, producing very small T(m) differences between homozygotes (<0.4 degrees C). Although most of these cases can be genotyped by T(m), one-fourth (4% of total SNPs) show nearest-neighbor symmetry, and, as predicted, the homozygotes cannot be resolved from each other. In these cases, adding 15% of a known homozygous genotype to unknown samples allows melting curve separation of all three genotypes. This approach was used for the HFE 187C>G protocol, but, as predicted from the sequence changes, was not needed for the other four clinical protocols. CONCLUSIONS: SNP genotyping by high-resolution melting analysis is simple, rapid, and inexpensive, requiring only PCR, a DNA dye, and melting instrumentation. The method is closed-tube, performed without probes or real-time PCR, and can be completed in less than 2 min after completion of PCR.

Factor V↗

PubMed2001

Single nucleotide polymorphisms in the methylenetetrahydrofolate reductase gene are common in US Caucasian and Hispanic American populations.

To investigate the prevalence of the C677T and A1298C single nucleotide polymorphisms (SNPs) in the methylenetetrahydrofolate reductase (MTHFR) gene in Caucasian and Hispanic populations, EDTA-anticoagulated whole blood specimens were collected from a total of 100 random patients, 50 Caucasians and 50 Hispanics of Puerto Rican dissent. The prevalence of the two MTHFR SNPs was determined by polymerase chain reaction (PCR) mediated restriction fragment length polymorphism analysis. In the Caucasian population, homozygosity for the MTHFR A1298C SNP was detected in 4% (2/50) of the individuals tested, while 42% (21/50) were heterozygous for this SNP. Among Hispanics, 4% (2/50) were homozygous and 38% (19/50) heterozygous for the A1298C SNP. Homozygosity for the C677T MTHFR SNP was detected in 16% (8/50) and 10% (5/50) of Caucasians and Hispanics, respectively. In this study, the frequency of the C677T heterozygotes was very high at 56% (28/50) and 52% (26/50) Caucasians and Hispanics, respectively. C677T and A1298C are common SNPs in the MTHFR gene. The high prevalence of these SNPs in both Caucasian and Hispanic populations demonstrates the possibility of compounding effects of these SNPs in the pathogenesis of human diseases. While subgroups of patients may exhibit some clinical phenotype linked to these SNPs, our analysis demonstrates the need for careful interpretation of SNP data in the context of population screening.

DNA↗

PubMed2002

A C/T single-nucleotide polymorphism in the region of the CD40 gene is associated with Graves' disease.

Graves' disease (GD) develops as a result of an interaction between susceptibility genes and environmental factors. We have previously mapped a susceptibility locus for GD on chromosome 20q11 (GD-2), which has recently been independently replicated. Among the genes mapped to 20q11 was the CD40 gene, an important costimulatory molecule and a good positional candidate gene for GD. We investigated whether the CD40 gene was the GD susceptibility gene on 20q11. Linkage analysis in a subset of Caucasian families showed a maximum multipoint logarithm of odds (LOD) score of 3.3 at the CD40 locus. We then sequenced all 9 exons of the CD40 gene in 8 probands and 10 controls and identified a new C/T single-nucleotide polymorphism (SNP) in the Kozak sequence of the CD40 gene at position -1. Case control association analysis of the CD40 C/T(-1) SNP in 154 Caucasian patients with GD and 118 Caucasian controls showed an association between the CC genotype and GD (p = 0.048, relative risk [RR] = 1.6). Furthermore, the association was stronger when only the probands from the linked families (n = 20) were used (p = 0.009, RR = 4.8). Transmission disequilibrium test (TDT) analysis also showed preferential transmission of the C allele of the CD40 C/T(-1) SNP to affected individuals (p = 0.02). In conclusion, our results suggested that the CD40 gene was a new susceptibility gene for GD within certain families because it was both linked and associated with GD.

CD40 Antigens↗

PubMed2000

Investigations into the molecular effects of single nucleotide polymorphism.

OBJECTIVES: DNA sequences are very rich in short repeats and their pattern can be altered by point mutations. We wanted to investigate the effect of single nucleotide polymorphism (SNP) on the pattern of short DNA repeats and its biological consequences. METHODS: Analysis of the pattern of short DNA repeats of the Thy-1 sequence with and without SNP. Searching for DNA-binding factors in any region of significance. RESULTS: Comparing the pattern of short repeats in the Thy-1 gene sequences of Turkish patients with ataxia telangiectasia (AT) with the "wild type" sequence from the DNA database, we identified a missing 8-bp repeat element due to an SNP in position 1271 (intron II) in AT-DNA sequences. Only the mutated sequence had the potential for the formation of a stem loop in DNA or pre-mRNA. In super-shift experiments we found that DNA oligomers covering the area of this SNP formed a complex with proteins amongst which we identified the proliferating cell nuclear antigen (PCNA) protein. CONCLUSION: SNPs have the potential to alter DNA or pre-mRNA conformation. Although no SNP-depeding formation of the DNA-protein complex was evident, future investigations could reveal differential molecular mechanisms of cellular regulation.

Ataxia Telangiectasia↗

PubMed2005

Mapping determinants of human gene expression by regional and genome-wide association.

To study the genetic basis of natural variation in gene expression, we previously carried out genome-wide linkage analysis and mapped the determinants of approximately 1,000 expression phenotypes. In the present study, we carried out association analysis with dense sets of single-nucleotide polymorphism (SNP) markers from the International HapMap Project. For 374 phenotypes, the association study was performed with markers only from regions with strong linkage evidence; these regions all mapped close to the expressed gene. For a subset of 27 phenotypes, analysis of genome-wide association was performed with >770,000 markers. The association analysis with markers under the linkage peaks confirmed the linkage results and narrowed the candidate regulatory regions for many phenotypes with strong linkage evidence. The genome-wide association analysis yielded highly significant results that point to the same locations as the genome scans for about 50% of the phenotypes. For one candidate determinant, we carried out functional analyses and confirmed the variation in cis-acting regulatory activity. Our findings suggest that association studies with dense SNP maps will identify susceptibility loci or other determinants for some complex traits or diseases.

Alleles↗

PubMed2004

Localization of cancer susceptibility genes by genome-wide single-nucleotide polymorphism linkage-disequilibrium mapping.

With the large numbers of single nucleotide polymorphisms (SNPs) available and new technologies that permit high throughput genotyping, we have investigated the possibility of the localization of disease genes with genome-wide panels of SNP markers and taking advantage of the linkage-disequilibrium (LD) between the disease gene and closely linked markers. For this purpose, we selected cases from the Ashkenazi Jewish population, in which the mutant alleles are expected to be identical by descent from a common founder and the regions of LD encompassing these mutant alleles are large. As a validation of this approach for localization, we performed two trials: one in autosomal recessive Bloom syndrome, in which a unique mutation of the BLM gene is present at elevated frequencies in cases, and the other in autosomal dominant hereditary nonpolyposis colorectal cancer (HNPCC), in which a unique mutation of MSH2 is present at elevated frequencies. In the Bloom syndrome trial, we genotyped 3,258 SNPs in 10 Jewish Bloom syndrome cases and 31 non-Bloom syndrome Jewish persons as a comparison group. In the HNPCC trial, we genotyped 8,549 SNPS in 13 Jewish HNPCC cases whose colon cancers exhibited microsatellite instability and in 63 healthy Jews as a comparison group. To identify significant associations, we performed (a) Fisher's exact test comparing genotypes at each locus in cases versus controls and (b) a haplotype analysis by estimating the frequency of haplotypes with the expectation-maximization algorithm and comparing haplotype frequencies in cases versus controls by logistic regression and a maximum likelihood ratio method. In the Bloom syndrome trial, by Fisher's exact test, statistically significant association was detected at a single locus, TSC0754862, which is a locus 1.7 million bp from BLM. Two-locus, three-locus, and four-locus haplotypes that included TSC0754862 and flanked BLM were also statistically more frequent in cases versus controls. In the HNPCC trial, although a significant P value was not obtained by the single SNP genotype analysis, significant associations were detected for several multilocus haplotypes in an 11-million-bp region that contained the MSH2 gene. This work demonstrates the power of the LD mapping approach in an isolated population and its general applicability to the identification of novel cancer-causing genes.

Adenosine Triphosphatases↗

PubMed2004

Pyrosequencing-based SNP allele frequency estimation in DNA pools.

Association screening involving numerous genetic markers is facilitated by the analysis of pooled DNA samples rather than individual samples. Several genotyping methods have shown high accuracy and precision of allele frequency estimation in pools. Here, we expand the validation of SNP allele frequency estimation in DNA pools using Pyrosequencing by analyzing 186 pools for three SNPs representing complex sequencing cases. The correlation coefficient between estimated and true allele frequencies ranged between 0.979 and 0.996 and tended to increase with pool size, whereas the difference between estimated and true allele frequencies was 2.37+/-0.11%, in post-PCR pools. The precision was 1.73%. Pool size had no significant effect on accuracy and precision. A comparison between post-PCR and pre-PCR pools showed that for pre-PCR pooling efforts to accurately quantify the genomic DNA samples to be pooled and subsequently amplified are critical. To conclude, Pyrosequencing can be used for allele frequency estimation in DNA pools of SNPs with complex sequencing scenarios with accuracy and precision values in ranges comparable with those of other SNP typing techniques. Considering the ease of use, short run and analysis times, and little instrument maintenance requirements, Pyrosequencing may even be a preferred option.

DNA↗

PubMed2002

Novel and nondetected human signaling protein polymorphisms.

The frequency of single nucleotide polymorphisms (SNPs) in downstream signaling proteins was determined by combination heteroduplex HPLC and double-stranded sequencing of genomic DNA from 96-144 congestive heart failure (CHF) patients. Analysis of 56 coding exons in 9 signaling genes revealed 17 novel and 8 previously reported synonymous (no change in amino acid) SNPs, as well as one novel nonsynonymous SNP in the Rad small G protein. Because this initial analysis failed to detect numerous SNPs reported in the NCBI and Celera databases, double-strand sequencing of relevant exons from 74-91 CHF patients was used to confirm the absence of 10 previously reported nonsynonymous SNPs. Our results show that synonymous SNPs are frequent in signaling protein genes, whereas nonsynonymous SNPs are rare, suggesting a high degree of evolutionary conservation among these downstream signaling molecules. Comparisons of our results to the NCBI and Celera databases indicates that 56% of their SNP entries are not detected in our cohort. Importantly, while 31% of database SNPs were verified, 69% of SNPs detected in our cohort are not included in these databases. These findings indicate that caution may be warranted in relying exclusively on SNP databases as catalogs for polymorphic signaling protein genes.

Age of Onset↗

PubMed2026

SNP genotyping in Pseudotsuga menziesii and Pinus radiata using targeted genotyping-by-sequencing (GBS): improved Bayesian SNP calling using a beta-binomial distribution and other optimized input parameters.

BACKGROUND: Single-nucleotide polymorphism markers (SNPs) have important applications in gene conservation, breeding, and fundamental genetics research. Our long-term goal is to develop routine approaches for SNP genotyping in forest trees. Ideally, these approaches would be inexpensive, able to accommodate a wide range of samples and SNPs, available through commercial providers, and produce high-quality SNP data. RESULTS: Using targeted genotyping-by-sequencing (GBS), we developed SNP assays for two highly heterozygous tree species, Douglas-fir (Pseudotsuga menziesii) and radiata pine (Pinus radiata). Using Douglas-fir haploid and diploid data, we optimized Bayesian SNP calling by testing four input parameters: (1) allele and genotype prior probabilities, (2) Rho, the beta-binomial dispersion parameter, (3) estimated read error (BayesReadError), and (4) the logPO cutoff used to filter low confidence SNP calls. logPO is the Bayesian posterior odds ratio for a called SNP. Compared to assuming a binomial distribution of read counts (Rho = 0), the beta-binomial distribution (Rho = 0.33) substantially reduced call error and heterozygote undercalling. Compared to the other Bayesian parameters, genotype priors had little effect on genotyping success. For Douglas-fir, we tested 5,360 SNP assays, and then studied the performance of the best 4,000. For radiata pine, we tested 6,000 SNP assays, and then studied the performance of the best 4,570. In Douglas-fir and radiata pine, our Bayesian approach resulted in median call rates of 95% to 98% for the top-ranked SNPs, with an estimated call error of 1.60% for known homozygous genotypes and 2.27% for known heterozygotes. In radiata pine, median and mean call rates were above 91% for GBS and SNP genotyping using an Axiom fixed genotyping array. Additionally, the median correspondence between the GBS and Axiom genotypes was about 98% overall (mean 96%). CONCLUSIONS: By optimizing Bayesian SNP calling, selecting the best 4-5 K SNPs, and excluding samples with low DNA amounts, we substantially reduced call error and heterozygote undercalling, resulting in SNP genotypes that were nearly identical to genotypes obtained using the Axiom array. Furthermore, genotyping performance should increase even further if our SNP rankings were used to develop less complex probe pools that target fewer SNPs.

Pinus↗

PubMed2003

[Novel approaches; improved diagnostics and therapeutics with DNA microarrays. II. Applications].

The most important (future) applications of DNA microarrays in medicine are based on three different molecular analyses: gene expression analysis, genotyping with a specific type of microarray (single nucleotide polymorphism chip (SNP chip)), and DNA sequencing to search for a well-known mutation in a certain gene. With gene expression analysis one can obtain a 'molecular signature' of a tissue by allowing tissue RNA to react with a DNA microarray. This information may help to refine disease classifications, to guide the choice of therapy and to find new therapeutic targets. Genotyping utilizes genomic DNA that, after digestion, reacts with a SNP chip to obtain an individual SNP pattern. An SNP is a change of a single base pair within a gene sequence that can sometimes influence the function of the gene product. SNPs are considered to be variations in the genome and should be distinguished from mutations. These variations can for instance provide information about the probability of a certain disease, or the effectiveness or side effect of a certain drug. Sequencing well characterized genes to search for mutations is used to screen for genetic abnormalities. This process can be accelerated with the aid of oligonucleotide arrays. With this tool an individual's risk of developing certain forms of cancer or monogenetic diseases can be estimated.

Diagnostic Techniques and Procedures↗

PubMed2001

Combined SSCP/duplex analysis by capillary electrophoresis for more efficient mutation detection.

SSCP and heteroduplex analysis (HA) continue to be the most popular methods of mutation detection due to their simplicity, high sensitivity and low cost. The advantages of these methods are most clearly visible when large genes, such as BRCA1 and BRCA2, are scanned for scattered unknown mutations and/or when a large number of DNA samples is screened for specific mutations. Here we describe a novel combined SSCP/duplex analysis adapted to the modern capillary electrophoresis (CE) system, which takes advantage of multicolor labeling of DNA fragments and laser-induced fluorescence detection. In developing this method, we first established the optimum conditions for homoduplex and heteroduplex analysis by CE. These were determined based on comprehensive analysis of representative Tamra-500 markers and BRCA1 fragments at different concentrations of sieving polymer and temperatures in the presence or absence of glycerol. The intrinsic features of DNA duplex structures are discussed in detail to explain differences in the migration rates between various types of duplexes. When combined SSCP/duplex analysis was carried out in single conditions, those found to be optimal for analysis of duplexes, all 31 BRCA1 and BRCA2 mutations, polymorphisms and variants tested were detected. It is worth noting that the panel of analyzed sequence variants was enriched in base substitutions, which are usually more difficult to detect. The sensitivity of mutation detection in the SSCP portion alone was 90%, and that in the duplex portion was 81% in the single conditions of electrophoresis. As is also shown here, the proposed combined SSCP/duplex analysis by CE has the potential of being applied to the analysis of pooled genomic DNA samples, and to multiplex analysis of amplicons from different gene fragments. These modifications may further reduce the costs of analysis, making the method attractive for large scale application in SNP scanning and screening.

BRCA1 Protein↗

PubMed2002

SNP genotyping on pooled DNAs: comparison of genotyping technologies and a semi automated method for data storage and analysis.

We have compared the accuracy, efficiency and robustness of three methods of genotyping single nucleotide polymorphisms on pooled DNAs. We conclude that (i) the frequencies of the two alleles in pools should be corrected with a factor for unequal allelic amplification, which should be estimated from the mean ratio of a set of heterozygotes (k); (ii) the repeatability of an assay is more important than pinpoint accuracy when estimating allele frequencies, and assays should therefore be optimised to increase the repeatability; and (iii) the size of a pool has a relatively small effect on the accuracy of allele frequency estimation. We therefore recommend that large pools are genotyped and replicated a minimum of four times. In addition, we describe statistical approaches to allow rigorous comparison of DNA pool results. Finally, we describe an extension to our ACeDB database that facilitates management and analysis of the data generated by association studies.

Automation↗

PubMed2000

Determining SNP allele frequencies in DNA pools.

Single nucleotide polymorphisms (SNPs) are among the most common types of polymorphism used for genetic association studies. A method to allow the accurate quantitation of their allele frequencies from DNA pools would both increase throughput and decrease costs for large-scale genotyping. However, to date, most DNA pooling studies have concentrated on the use of microsatellite polymorphisms. In the case of SNPs that are restriction fragment length polymorphisms (RFLPs), studies have tended to use methods for the quantitation of allele frequency from pools that rely on densitometric evaluation of bands on an autoradiograph. Radiation-based methods have well-known drawbacks, and we present two alternative methods for the determination of SNP allele frequencies. For RFLPs, we used agarose gel electrophoresis of digested PCR products with ethidium bromide staining combined with densitometric analysis of gel images on a PC. For all types of SNP, we used allele-specific fluorescent probes in the Taqman assay to determine the relative frequencies of two different alleles. Both methods gave accurate and reproducible results, suggesting they are suitable for use in DNA pooling experiments.

Alleles↗

PubMedDate not supplied

Possible linkage of schizophrenia and bipolar affective disorder to chromosome 3q29; a follow-up.

The present linkage study is a follow-up within the chromosome 3q29 region in schizophrenia and bipolar affective disorder families, based on our recently published genome scan, resulting in evidence for linkage of both disorders to this region (marker D3S1265: NPL [non parametric lod] score Z(all)=3.74, P=0.003). Using the same family sample (five pedigrees with schizophrenic index patients and three pedigrees with index bipolar disorder patients N=86; 50 of them were available for genotyping), genotyping of eight additional markers close to D3S1265 was done. Five of those new markers (three centromeric and two telomeric of D3S1265) spanning 4.14 cM (centiMorgan) could be used for statistical analyses ("new markers"). Moreover, marker D3S1265, genotyped within the published genome scan, was used for additional calculations. Linkage analysis was performed using the GENEHUNTER program version 2.1r3. Within newly genotyped markers the highest NPL score Z(all) observed was 1.93296 with the telomeric SNP (single nucleotide polymorphism) rs1835669, corresponding to P=0.032166. Statistical analysis including D3S1265, located in between the newly genotyped markers, resulted in a peak NPL score Z(all)=4.00179 with marker D3S1265, that is P=0.000128. Doing subset analyses of the bipolar disorder and schizophrenia families separately with new markers and D3S1265, linkage signals arose substantially from bipolar disorder families, with contribution from schizophrenia families, too. The results of our follow-up study support our previous linkage finding of schizophrenia and bipolar affective disorder to chromosome 3q29.

Adult↗

PubMed2006

The neuropeptide genes TAC1, TAC3, TAC4, VIP and PACAP(ADCYAP1), and susceptibility to multiple sclerosis.

The related immunomodulatory neuropeptides vasoactive intestinal peptide (VIP) and pituitary adenylyl cyclase activating peptide (PACAP; gene symbol ADCYAP1) have recently been proposed as novel therapeutics for the treatment of multiple sclerosis (MS). These neuropeptides, as well as those belonging to the tachykinin family exert pleiotropic effects, many of which are of relevance to central nervous system inflammation. In the present study, we have analysed 14 single nucleotide polymorphisms (SNPs) and 4 microsatellite markers in the VIP, ADCYAP1, TAC3 and TAC4 genes for susceptibility to MS in a case-control collection from Northern Ireland. Following correction for multiple comparisons, we did not find any significant associations between single polymorphic markers or multiple-marker haplotypes and susceptibility to MS. Furthermore, we analysed 2 SNPs in the TAC1 gene in a set of Sardinian trio MS families, based on our previous observation of association of these SNPs with MS in the Northern Irish (Genes Immun. 2005, 6, 265-270). Analysis of these SNPs in the Sardinians was not significant though a similar trend to that originally observed in the Northern Irish was present. Meta-analysis of the Sardinian and Northern Irish TAC1 SNP genotype data revealed a Mantel-Haenszel Common OR Estimate for the TAC1 intron 1 SNP rs2072100 of 0.76 (95% CI 0.63-0.92; P=0.005; A allele) and for the TAC1 promoter SNP rs7793277 of 0.76 (95% CI 0.615-0.95; P=0.014; C allele). Our data advocate a need for further exploration of the TAC1 gene region in MS.

Disease Susceptibility↗

PubMed2004

Association analysis of cystatin A and zinc finger protein 148, two genes located at the psoriasis susceptibility locus PSORS5.

Psoriasis is a multifactorial hereditary skin disease. The searches for causative DNA variations have generated several susceptibility loci, but at present, the gene(s) involved has not been identified. In this article, we investigated whether cystatin A, an upregulated gene in psoriatic plaques and located at chromosome 3q21, is the disease-causing gene at the psoriasis susceptibility locus PSORS5. We also investigated association to a second gene located in this region, zinc finger protein 148. The two genes have been sequenced in a small case/control set in search for SNP markers, followed by family-based association analysis using the transmission disequilibrium test. We did not detect association with either of the genes.

Chromosomes, Human, Pair 3↗

PubMed2002

HapScope: a software system for automated and visual analysis of functionally annotated haplotypes.

We have developed a software analysis package, HapScope, which includes a comprehensive analysis pipeline and a sophisticated visualization tool for analyzing functionally annotated haplotypes. The HapScope analysis pipeline supports: (i) computational haplotype construction with an expectation-maximization or Bayesian statistical algorithm; (ii) SNP classification by protein coding change, homology to model organisms or putative regulatory regions; and (iii) minimum SNP subset selection by either a Brute Force Algorithm or a Greedy Partition Algorithm. The HapScope viewer displays genomic structure with haplotype information in an integrated environment, providing eight alternative views for assessing genetic and functional correlation. It has a user-friendly interface for: (i) haplotype block visualization; (ii) SNP subset selection; (iii) haplotype consolidation with subset SNP markers; (iv) incorporation of both experimentally determined haplotypes and computational results; and (v) data export for additional analysis. Comparison of haplotypes constructed by the statistical algorithms with those determined experimentally shows variation in haplotype prediction accuracies in genomic regions with different levels of nucleotide diversity. We have applied HapScope in analyzing haplotypes for candidate genes and genomic regions with extensive SNP and genotype data. We envision that the systematic approach of integrating functional genomic analysis with population haplotypes, supported by HapScope, will greatly facilitate current genetic disease research.

Algorithms↗