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Association of AKT1 haplotype with the risk of schizophrenia in Iranian population.

AKT-glycogen synthase kinase 3beta (GSK3beta) signaling is a target of lithium and has been implicated in the pathogenesis of mood disorders and schizophrenia. AKT1 protein level is decreased in the peripheral lymphocytes and brains of schizophrenic patients. The SNP2/3/4 TCG haplotype of AKT1 was associated with schizophrenia in patients with Northern European origin. In the present study, we genotyped five single nucleotide polymorphisms (SNP1-5) of AKT1 gene according to the original study in Iranians comprising of 321 schizophrenic patients and 383 controls, all residing in Mashhad city, Northeastern Iran. Haplotype analysis showed that the frequency of a five-SNP haplotype (AGCAG) was significantly higher in schizophrenic patients (0.068) than that of controls (0.034) (P = 0.03 after Bonferroni correction, OR = 2.04, CI = 1.2-3.4). In stratified analysis by schizophrenia subtypes, the frequency of the same haplotype was significantly higher in disorganized subtype (n = 78, frequency of haplotype=0.081) when compared with normal controls (P = 0.04 after Bonferroni correction, OR = 2.59, CI = 1.3-5.2). Our findings did not confirm the association of AKT1 SNP2/3/4 TCG haplotype with the risk of schizophrenia as reported in the original study but showed the evidence of association with a different haplotype, AKT1 five-SNP AGCAG haplotype, with the risk of schizophrenia in Iranian population.

Alleles↗

Fine mapping functional sites or regions from case-control data using haplotypes of multiple linked SNPs.

Previously, we reported an algorithm for scanning a large number of tightly linked single nucleotide polymorphisms (SNPs) for LD mapping of functional sites or regions from a family-based association design. In the present study, we extend our method to a case-control design. We first use the expectation maximization (EM) algorithm to estimate haplotype frequencies of multiple linked SNPs, and follow this by constructing a contingency table statistic S for LD analysis, based on the estimated haplotype frequencies. An empirical p-value is obtained based on the null distribution of the maximum of S (S*) from a large number (e.g., 1,000 or more) of randomized permutations. The proposed algorithm has been implemented in a computer program in which window searching for functional SNP sites can cover any number of loci without limitation, except that of computer storage. Unlike other programs for a case-control design that always conduct tests at a fix window width, in our program after setting a maximum size of haplotype window width, for a given maximum window width all possible widths of haplotypes are utilized to find the maximum statistic S * for each locus under investigation. The sensitivity of the proposed algorithm has been examined with simulated and real genotyping datasets. Association analyses indicate that our program is powerful enough to detect most, if not all, functional SNPs simulated in the original model or identified in the original report. Moreover, the program is very flexible and can be used in either regional or genome-wide scanning for association analysis with SNP markers.

Algorithms↗

Sugar kelp (Saccharina latissima) population genetics map onto geographic distance and oceanographic features across coastal Maine.

Sugar kelp (Saccharina latissima; order Laminariales) plays a vital role in kelp forest ecosystems, as well as an expanding kelp aquaculture industry, in the Gulf of Maine, United States. However, ocean warming is eroding the resilience of Maine's kelp forests and may be compromising their local genetic diversity, with impacts on population structure and gene flow. Here, we used genome-wide single nucleotide polymorphism (SNP) data to assess the genetic diversity, structure, and connectivity of S. latissima populations at 11 outer coastal sites spanning the historical range of kelp forests in Maine. Our analyses identified moderate genetic diversity and limited inbreeding within sites (average heterozygosity: 0.27). Further, they revealed that three clusters comprising four genetically distinct populations exist across the study region. Population structure was strongly associated with geographic distance and oceanographic features, as supported by principal coordinate analysis, FST calculations, Bayesian clustering, and spore dispersal modeling. Lastly, our outlier analysis identified genes potentially under selection. Thus, our findings highlight distinct, genetically unique kelp populations along Maine's coast and emphasize the need for regional management strategies that support both ecosystem resilience and sustainable aquaculture under climate change.

Gulf of Maine↗

Analysis of GABRB2 association with schizophrenia in German population with DNA sequencing and one-label extension method for SNP genotyping.

OBJECTIVES: Schizophrenia (SCZ) is a complex mental disease that affects approximately 1% of the population. In this study, six SNPs in GABRB2 were genotyped for a case-control association study with the cycloid psychosis subtype of SCZ in the German population using two methods for SNP genotyping. DESIGN AND METHODS: The SNPs were genotyped by direct DNA sequencing, as well as a novel one-label extension method. The results were analyzed for association with SCZ. RESULTS AND CONCLUSIONS: Significant association was found for SNPs rs1816071 and rs1816072 with SCZ susceptibility. This is consistent with our previous finding of association of SNPs in GABRB2 with SCZ susceptibility in Han Chinese. There was a total agreement between the genotyping results from one-label extensions and the results of direct DNA sequencing, thus validating the accuracy of the one-label extension method of SNP genotyping.

Adult↗

Vitamin D receptor gene polymorphisms are associated with risk of Hashimoto's thyroiditis in Chinese patients in Taiwan.

The etiology of the autoimmune thyroid, Hashimoto's thyroiditis (HT) is not very clear. However, genetic susceptibility is thought to play a critical role. The vitamin D receptor (VDR)-related endocrine system has been demonstrated to be able to carry out modulation of the immune response. Here, we investigated whether single nucleotide polymorphisms (SNPs) of VDR are associated with HT patients. VDR SNP was detected by polymerase chain reaction (PCR)-based restriction analysis in 109 patients with HT and 90 normal controls. Significant differences were found in the genotype distribution of VDR SNP between Hashimoto's thyroiditis patients and controls (P=0.0458). Allelic frequency of the VDR gene distinguished HT patients from controls (P=0.0089). The results revealed a significant difference between HT patients and normal controls in VDR SNP and a statistic correlation between VDR-FokI polymorphisms and HT formation. It could be concluded that patients who carry the C/C homozygote of the VDR-FokI gene polymorphism in exon 2 may have a higher risk of developing HT in Chinese patients in Taiwan.

Adolescent↗

Multiple SNPs in intron 7 of thyrotropin receptor are associated with Graves' disease.

Our previous studies using microsatellite markers near or in the TSH receptor (TSHR) gene revealed significant association between autoimmune thyroid disease (AITD) in Japanese patients and TSHR microsatellite alleles. In the present study, we performed a case-control analysis of AITD using single-nucleotide polymorphisms (SNPs) spaced 3-50 kb apart spanning the TSHR gene. We observed significant associations between AITD/Graves' disease (GD)/Hashimoto's thyroiditis and multiple SNPs. Specifically, the SNP JST022302 and several adjacent SNPs in intron 7 of the TSHR gene were significantly associated with GD (P = 0.039-0.0004) but not Hashimoto's thyroiditis. Furthermore, we identified three haplotype blocks around intron 7 by linkage disequilibrium analysis. A single SNP haplotype [AATG(CT)6(TT)AG] in the haplotype block including JST022302 showed significant association with GD in haplotype case-control analysis (P = 0.0058). These findings suggest that alleles of intron 7 of the TSHR gene contribute to GD susceptibility.

Case-Control Studies↗

A polymorphic marker in the first intron of the Werner gene associates with cognitive function in aged Danish twins.

Werner's syndrome is a premature aging syndrome with many features common to normal aging. The possible association between phenotypic markers for normal aging and SNP's in the WRN gene was investigated in 426 dizygotic, Danish twins age 70-90 years. All participants were scored every second year using a number of physical and cognitive tests. In addition their self-rated health was registered as well as self reported status with regards to nine diseases. Blood was drawn from all participants and purified DNA was typed for four SNP's in the WRN gene. The four SNP's were located in intron 1, exon 6, exon 9 and exon 34. In an unpaired analysis of this material a significant association between the intron 1 SNP and cognitive function was demonstrated. Our finding, which will need corroboration in independent samples, therefore may suggest that the t-allele of the intron 1 SNP is beneficial to cognitive function. However, since the t-allele of this SNP is very rare, we did not encounter any tt-homozygous individuals for this allele.

Activities of Daily Living↗

Relationships between genomic dissipation and de novo SNP evolution.

Patterns of single nucleotide polymorphisms (SNPs) in eukaryotic DNA are traditionally attributed to selective pressure, drift, identity descent, or related factors-without accounting for ways in which bias during de novo SNP formation, itself, might contribute. A functional and phenotypic analysis based on evolutionary resilience of DNA points to decreased numbers of non-synonymous SNPs in human and other genomes, with a predominant component of SNP depletion in the human gene pool caused by robust preferences during de novo SNP formation (rather than selective constraint). Ramifications of these findings are broad, belie a number of concepts regarding human evolution, and point to a novel interpretation of evolving DNA across diverse species.

Polymorphism, Single Nucleotide↗

Association mapping: methodologies, strategies, and issues.

Recent advances in molecular genetic technology allow for detailed characterization of genetic variation and easy cost-efficient accumulation of such data, even for large human samples. One such advance that presents incredible opportunities for identifying associations between genetic polymorphisms and disease-related phenotypes is the ability to quickly type a large number of single-nucleotide polymorphisms (SNPs). Contributors to Group 10 of Genetic Analysis Workshop 14 explored the potential of SNP genotypes for the association mapping of disease-related genes in family-based studies. Using both real data involving alcoholism susceptibility, made available by the Collaborative Study on the Genetics of Alcoholism (COGA), and simulated data involving personality-disorder susceptibility, group members investigated specific methodological issues involved in association mapping, such as multiple testing, single SNPs vs. combinations and haplotypes, and the effect of linkage disequilibrium on SNP-based linkage; evaluated existing methodologies for association mapping using SNPs, short-tandem repeats (STRs), or a combination of the two; and introduced new or modified association-mapping methods, including a gamma random effects (GRE) model and the quantitative trait linkage disequilibrium (QTLD) test. These papers are unified by the application of association-based methods to analyze SNPs, microsatellite markers, or both, to identify chromosomal regions harboring genes that contribute to quantitative endophenotype variation, and thus to disease risk. Their diversity attests to the breadth and flexibility of association-mapping approaches to the genetics of complex disease.

Alcoholism↗

A 14-gene region of rat chromosome 8 in SHR-derived polydactylous congenic substrain affects muscle-specific insulin resistance, dyslipidaemia and visceral adiposity.

The SHR and the PD/Cub are two established rodent models of human metabolic syndrome. Introgression of a ca 30 cM region of rat chromosome 8 from PD/Cub onto the genetic background of SHR was previously shown to influence several of the metabolic syndrome-related traits along with causing the PLS in the SHR-Lx congenic strain. In the process of identification of the causative alleles, we have produced several congenic sublines. The differential segment of SHR-Lx PD5 congenic substrain [SHR.PD(D8Rat42-D8Arb23)/Cub] spans approximately 1.4 Mb encompassing only 14 genes. When comparing the metabolic, morphometric and gene expression profiles of the SHR-Lx PD5 vs. SHR, the polydactyly and several distinct metabolic features observed in the original SHR-Lx congenic were still manifested, suggesting that the responsible genes were "trapped" within the relatively short differential segment of PD/Cub origin in SHR-Lx PD5. Particularly, the SHR-Lx PD5 displayed substantial reduction of insulin sensitivity confined to skeletal muscle. Among the candidate genes, the promyelocytic leukaemia zinc-finger Plzf (Zbtb16) transcription repressor is most likely responsible for the Lx mutation resulting in PLS and could also be involved in the alteration of metabolic pathways. The sequence analysis of the Plzf gene revealed a SNP leading to a threonine to serine substitution in SHR at aminoacid position 208 (T208S). In summary, we have isolated a 1.4 Mb genomic region syntenic to human chromosome 11q23, which, apart from causing polydactyly-luxate syndrome (PLS), affects total body weight, adiposity, lipid profile, insulin sensitivity of skeletal muscle and related gene expression as shown in the SHR-Lx PD5 congenic substrain.

Adipose Tissue↗

Development and validation of a high-density 'Amahysnp' genotyping array in grain amaranth (Amaranthus hypochondriacus).

BACKGROUND: Grain amaranth has recently gained global attention as a promising crop alternative to traditional cereals due to its nutritional value and adaptability to various growing conditions. Although gene banks conserve extensive collections of amaranth germplasm, the genomic and phenotypic characterization of these resources is limited, which hinders their full utilization in breeding programs. A major challenge is the lack of high-throughput genotyping assays essential for comprehensive genomic characterization and trait mapping. High-density SNP arrays have become standard tools for genome-wide analysis across multiple loci, enabling molecular breeding across a range of crop species. RESULTS: In this study, we developed a 64 K high-throughput SNP genotyping array named "AmahySNP", using Affymetrix® Axiom® technology. The array contains 64,069 high-density SNPs distributed across both genic (55.17%) and non-genic (44.83%) regions of the Amaranthus hypochondriacus genome. The genic region includes 8,879 genes, which consist of 4,830 single-copy genes and 4,049 multi-copy genes distributed across 16 scaffolds. These genes cover various functional regions, including exons (10.5%), introns (40.1%), 5'UTRs (1.6%), and 3'UTRs (2.9%), respectively. The AmahySNP array was effectively utilized for population structure analysis, genetic diversity studies, core development, and genome wide association studies (GWAS) in amaranth germplasm. A representative core set of 112 accessions was identified, which includes two released varieties (Annapurna and Suvarna) and 100 diverse accessions from 12 different regions, representing 12% of the total 917 accessions evaluated. Phylogenetic analysis revealed three major genetic clusters, independent of their geographical origins. GWAS conducted using 22,763 polymorphic SNPs from 540 genotypes identified 13 novel loci associated days to flowering (DTF) trait, seven of which were located within annotated genes. CONCLUSIONS: The AmahySNP 64 K SNP chip a valuable genomic tool for amaranth research and breeding with a strong potential to accelerate its genetic improvement. It enables high-throughput genotyping for a wide range of applications, including GWAS and other genomic studies, and will significantly advance the exploration of natural genetic variations. Ultimately, this resource will empower amaranth breeders to develop improved amaranth cultivars with enhanced crop yield, resilience, and nutritional quality, contributing to global food security and sustainable agriculture.

Amaranthus↗

The Human Genome Project--an overview.

The human genome sequence will underpin human biology and medicine in the next century, providing a single, essential reference to all genetic information. The international program to determine the complete DNA sequence (3,000 million bases) is well underway. As of January 2000, 50% of the sequence is available in the public domain. A comprehensive working draft is expected this year, and the entire sequence is projected to be finished in 2003. DNA sequencing is carried out on mapped, overlapping bacterial clones of 150-200 kb. The working draft comprises assembled unfinished sequence and is released immediately in the public domain. The draft sequence of each clone is then completed, by closing any remaining gaps and resolving any ambiguities, before the entire sequence is checked, annotated, and submitted to the public databases. The sequence of each clone is finished to an accuracy of >99.99%. The availability of a reference sequence of the genome provides the basis for studying the nature of sequence variation, particularly single nucleotide polymorphisms (SNPs), in human populations. SNP typing is a powerful tool for genetic analysis, and will enable us to uncover the association of loci at specific sites in the genome with many disease traits. SNPs occur at a frequency of approximately 1 SNP/kb throughout the genome when the sequence of any two individuals is compared. Programs to detect and map SNPs in the human genome are underway with the aim of establishing a SNP map of the genome during the next two years. The human genome sequence will provide a complete description of all the genes. Annotation of the sequence with the gene structures is achieved by a combination of computational analysis (predictive and homology-based) and experimental confirmation by cDNA sequencing. Detecting homologies between newly defined gene products and proteins of known function helps to postulate biochemical functions for them, which can then be tested. Establishing the association of specific genes with disease phenotypes by mutation screening, particularly for monogenic disorders, provides further assistance in defining the functions of some gene products, as well as helping to establish the cause of the disease. As our knowledge of gene sequences and sequence variation in populations increases, we will pinpoint more and more of the genes and proteins that are important in common, complex diseases. A more detailed understanding of the function of the human genome will be achieved as we identify sequences that control gene expression. Given the availability of gene sequences, the expression status of genes in particular tissues can be monitored in parallel. By comparing corresponding genomic sequences in different species (for example: man, mouse, chicken, and zebrafish), regions that have been highly conserved during evolution can be identified, many of which reflect conserved functions such as gene regulation. These approaches promise to greatly accelerate our interpretation of the human genome sequence.

Human Genome Project↗

Application of DNA-binding polymers for preparation of DNA for analysis by matrix-assisted laser desorption/ionization mass spectrometry.

The susceptibility of matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) to the presence of salts in a sample, especially salts of alkali metals, requires careful and often tedious desalting procedures which complicate and slow the throughput of MS-based methods. A novel approach to sample preparation was developed based on the extraction of DNA out of solution onto a solid surface with an attached DNA-binding polymer, such as polyethyleneimine or polyvinylpyrrolidone. The observed binding is strong enough to sustain washing, and, as a result, desalting and concentration can be performed in a single fast step. After DNA has been immobilized on the surface and supernatant solution removed, subsequent addition of MALDI matrix releases material from the surface, which co-crystallizes with matrix. The mass spectrometric analysis is then performed directly from this support. Analysis of oligonucleotides and three-fold multiplexed SNP typing reactions performed by this method shows improved sensitivity and excellent resolution for various DNA fragments, together with high tolerance to various buffer components, such as alkali metals and surfactants. Simplicity and speed make it attractive for high-throughput sample preparation and analysis of oligonucleotide mixtures by MALDI-MS.

Base Sequence↗

Highly sensitive patient-specific real-time PCR SNP assay for chimerism monitoring after allogeneic stem cell transplantation.

Chimerism analysis after allogeneic stem cell transplantation (allo-SCT) is an important diagnostic tool for the documentation of engraftment, early detection of graft failure, and recurrence of the disease. Current assays rely on the genetic polymorphism between the donor and the recipient, and allow semiquantitative or quantitative analysis of chimerism. The most common method in use is based on the amplification of the short tandem repeats (STR). This method, with 1% to 5 sensitivity, is useful for the documentation of engraftment, but is insufficient for the detection of minimal residual disease or early relapse, when medical intervention is urgently needed. Recently, single-nucleotide polymorphism (SNP) has been suggested as an alternative, more accurate system to monitor chimerism. The purpose of our study was to develop an easy, economical, and sensitive method for the detection of chimerism following allo-SCT using the SNP technology. Our approach is based on SNP patient-specific quantitative real-time polymerase chain reaction (PCR) using nonlabeled primers. Our results show that this allele-specific SNP real-time PCR approach is sensitive, relatively cheap, and offers a fast and reliable assay for the monitoring of hematopoietic engraftment and for the detection of minimal residual disease in patients after allo-SCT.

Female↗

Wnt-1-inducible signaling pathway protein 3 and susceptibility to juvenile idiopathic arthritis.

OBJECTIVE: To determine whether Wnt-1-inducible signaling pathway protein 3 (WISP3) polymorphisms are associated with susceptibility to juvenile idiopathic arthritis (JIA). METHODS: The exons and the intron/exon boundaries of the WISP3 gene were mutation-screened by denaturing high-performance liquid chromatography in 86 patients with polyarticular-course JIA (>/=5 joints affected) and 15 controls. Seven single-nucleotide polymorphisms (SNPs) were genotyped, using allelic discrimination, in a case-control study. Initially, 159 patients with polyarticular-course JIA and 263 controls were studied, followed by study of a replication cohort of 181 patients with polyarticular-course JIA and 355 controls. Available parents of patients with polyarticular-course JIA were also genotyped. Finally, other JIA subgroups were studied (initial cohort, n = 218; replication cohort, n = 213). Single-point and haplotype analysis was carried out. RESULTS: Positive association with SNP WISP3*G84A was observed and replicated in 2 cohorts of patients with polyarticular-course JIA. Specifically, homozygosity of the mutant allele (WISP3*84AA) conferred a 2-fold increased risk of disease susceptibility (for the initial cohort, odds ratio [OR] 2.1, 95% confidence interval [95% CI] 1.1-4.2, P = 0.03; for the replication cohort, OR 2.0, 95% CI 1.0-4.3, P = 0.05). Strong linkage disequilibrium was observed between SNPs; however, no haplotypic effect of an order of magnitude greater than the single-point WISP3*G84A association was observed. Using the transmission disequilibrium test, a trend toward overtransmission of the WISP3*84A allele was observed in patients with polyarticular-course JIA. No association of any WISP3 polymorphism was observed in the other JIA subgroups. CONCLUSION: Association and replication of a polymorphism within the first intron of the WISP3 gene have been shown in patients with polyarticular-course JIA. The functional significance of the WISP3*G84A SNP is being determined.

Arthritis, Juvenile↗

Genetic Analysis of Asymptomatic Antinuclear Antibody Production.

OBJECTIVE: Antinuclear antibodies (ANA) are detected in up to 14% of the population, and many individuals with ANA are asymptomatic. The literature on the genetic contribution to asymptomatic ANA positivity is limited. In this study, we aimed to perform a genome-wide association study of asymptomatic ANA positivity in multiple populations. METHODS: Asymptomatic individuals who were either ANA positive or ANA negative from the All of Us Research Program were included in this study, selecting those with an ANA test performed by immunofluorescence and no evidence of autoimmune disease. Imputation was performed, and a multipopulation meta-analysis including approximately 6 million single-nucleotide polymorphisms (SNPs) was conducted. Genome-wide SNP-based heritability was estimated using the Genome-wide Complex Trait Analysis&#xa0;software. A cumulative genetic risk score for lupus was constructed using previously reported genome-wide significant loci. RESULTS: A total of 1,955 asymptomatic ANA positive and 3,634 asymptomatic ANA negative individuals across three populations were included. The multipopulation meta-analysis revealed SNPs with a suggestive association (P <1 &#xd7; 10-5) across 8 different loci, but no genome-wide significant loci were identified. A gene variant upstream of HLA-DQB1, (rs17211748, P = 1.4 &#xd7; 10-6, odds ratio 0.82, 95% confidence interval 0.76-0.89), showed the most significant association. The heritability of asymptomatic ANA positivity was estimated to be 24.9%. Individuals who were asymptomatic and ANA positive did not exhibit increased cumulative genetic risk for lupus compared with individuals who were ANA negative. CONCLUSION: ANA production is not associated with significant genetic risk and is primarily determined by environmental factors.

Humans↗

Software for optimization of SNP and PCR-RFLP genotyping to discriminate many genomes with the fewest assays.

BACKGROUND: Microbial forensics is important in tracking the source of a pathogen, whether the disease is a naturally occurring outbreak or part of a criminal investigation. RESULTS: A method and SPR Opt (SNP and PCR-RFLP Optimization) software to perform a comprehensive, whole-genome analysis to forensically discriminate multiple sequences is presented. Tools for the optimization of forensic typing using Single Nucleotide Polymorphism (SNP) and PCR-Restriction Fragment Length Polymorphism (PCR-RFLP) analyses across multiple isolate sequences of a species are described. The PCR-RFLP analysis includes prediction and selection of optimal primers and restriction enzymes to enable maximum isolate discrimination based on sequence information. SPR Opt calculates all SNP or PCR-RFLP variations present in the sequences, groups them into haplotypes according to their co-segregation across those sequences, and performs combinatoric analyses to determine which sets of haplotypes provide maximal discrimination among all the input sequences. Those set combinations requiring that membership in the fewest haplotypes be queried (i.e. the fewest assays be performed) are found. These analyses highlight variable regions based on existing sequence data. These markers may be heterogeneous among unsequenced isolates as well, and thus may be useful for characterizing the relationships among unsequenced as well as sequenced isolates. The predictions are multi-locus. Analyses of mumps and SARS viruses are summarized. Phylogenetic trees created based on SNPs, PCR-RFLPs, and full genomes are compared for SARS virus, illustrating that purported phylogenies based only on SNP or PCR-RFLP variations do not match those based on multiple sequence alignment of the full genomes. CONCLUSION: This is the first software to optimize the selection of forensic markers to maximize information gained from the fewest assays, accepting whole or partial genome sequence data as input. As more sequence data becomes available for multiple strains and isolates of a species, automated, computational approaches such as those described here will be essential to make sense of large amounts of information, and to guide and optimize efforts in the laboratory. The software and source code for SPR Opt is publicly available and free for non-profit use at http://www.llnl.gov/IPandC/technology/software/softwaretitles/spropt.php.

Cluster Analysis↗

Single-molecule analysis for molecular haplotyping.

In the genome era, there is great hope that genetic approaches such as linkage equilibrium mapping can be used to study common human disorders using a case-control population association study design. Ideally, the parental chromosomes are marked so that chromosomal regions in the form of haplotypes are compared in these studies to increase the power of association. Determining the haplotypes in a diploid individual is a major technical challenge in genetic studies of complex traits. A molecular approach to haplotyping is therefore highly desirable. Recent advances in DNA preparation, separation, labeling, and image analysis provide hope that a strategy of using a three-dye system coupled with DNA distance measurements between alleles will yield haplotype information of sufficiently high quality for genetic studies. In this work, we present the outline of the major challenges one must meet in developing a robust strategy for SNP detection and molecular haplotyping using single molecule analysis.

Alleles↗