The matrix coalescent and an application to human single-nucleotide polymorphisms

The floral developmental pathway in Arabidopsis thaliana is composed of several interacting regulatory genes, including the inflorescence architecture gene TERMINAL FLOWER1 (TFL1), the floral meristem identity genes LEAFY (LFY), APETALA1 (AP1), and CAULIFLOWER (CAL), and the floral organ identity genes APETALA3 (AP3) and PISTILLATA (PI). Molecular population genetic analyses of these different genes indicate that the coding regions of AP3 and PI, as well as AP1 and CAL, share similar levels and patterns of nucleotide diversity. In contrast, the coding regions of TFL1 and LFY display a significant reduction in nucleotide variation, suggesting that these sequences have been subjected to a recent adaptive sweep. Moreover, the promoter of TFL1, unlike its coding region, displays high levels of diversity organized into two distinct haplogroups that appear to be maintained by selection. These results suggest that patterns of molecular evolution differ among regulatory genes in this developmental pathway, with the earlier acting genes exhibiting evidence of adaptive evolution.     

A high-resolution linkage-disequilibrium map of the human major histocompatibility complex and first generation of tag single-nucleotide polymorphisms

Autoimmune, inflammatory, and infectious diseases present a major burden to human health and are frequently associated with loci in the human major histocompatibility complex (MHC). Here, we report a high-resolution (1.9 kb) linkage-disequilibrium (LD) map of a 4.46-Mb fragment containing the MHC in U.S. pedigrees with northern and western European ancestry collected by the Centre d'Etude du Polymorphisme Humain (CEPH) and the first generation of haplotype tag single-nucleotide polymorphisms (tagSNPs) that provide up to a fivefold increase in genotyping efficiency for all future MHC-linked disease-association studies. The data confirm previously identified recombination hotspots in the class II region and allow the prediction of numerous novel hotspots in the class I and class III regions. The region of longest LD maps outside the classic MHC to the extended class I region spanning the MHC-linked olfactory-receptor gene cluster. The extended haplotype homozygosity analysis for recent positive selection shows that all 14 outlying haplotype variants map to a single extended haplotype, which most commonly bears HLA-DRB1*1501. The SNP data, haplotype blocks, and tagSNPs analysis reported here have been entered into a multidimensional Web-based database (GLOVAR), where they can be accessed and viewed in the context of relevant genome annotation. This LD map allowed us to give coordinates for the extremely variable LD structure underlying the MHC.     

Association between single-nucleotide polymorphisms in selectin genes and immunoglobulin A nephropathy

Although intensive efforts have been undertaken to elucidate the genetic background of immunoglobulin A nephropathy (IgAN), genetic factors associated with the pathogenesis of this disease are still not well understood. We designed a case-control association study that was based on linkage disequilibrium among single-nucleotide polymorphisms (SNPs) in the selectin gene cluster on chromosome 1q24-25, and we found two SNPs in the E-selectin gene (SELE8 and SELE13) and six SNPs in the L-selectin gene (SELL1, SELL4, SELL5, SELL6, SELL10, and SELL11) that were significantly associated with IgAN in Japanese patients. All eight SNPs were in almost complete linkage disequilibrium. SELE8 and SELL10 caused amino acid substitutions from His to Tyr and from Pro to Ser (chi2=9.02, P=.0026, odds ratio = 2.73 [95% confidence interval [CI] 1.38--5.38] for His-to-Tyr substitutions; chi2=17.4, P=.000031, odds ratio = 3.61 [95% CI 1.91--6.83] for Pro-to-Ser substitutions), and SELL1 could affect promoter activity of the L-selectin gene (chi2=19.5, P=.000010, odds ratio = 3.77 [95% CI 2.02--7.05]). The TGT haplotype at these three loci was associated significantly with IgAN (chi2=18.67, P=.000016, odds ratio = 1.88 [95% CI 1.41--2.51]). Our results suggest that these eight SNPs in selectin genes may be useful for screening populations susceptible to the IgAN phenotype that involves interstitial infiltration.     

Whole-genome linkage analysis in mapping alcoholism genes using single-nucleotide polymorphisms and microsatellites

There is currently a great interest in using single-nucleotide polymorphisms (SNPs) in genetic linkage and association studies because of the abundance of SNPs as well as the availability of high-throughput genotyping technologies. In this study, we compared the performance of whole-genome scans using SNPs with microsatellites on 143 pedigrees from the Collaborative Studies on Genetics of Alcoholism provided by Genetic Analysis Workshop 14. A total of 315 microsatellites and 10,081 SNPs from Affymetrix on 22 autosomal chromosomes were used in our analyses. We found that the results from the two scans had good overall concordance. One region on chromosome 2 and two regions on chromosome 7 showed significant linkage signals (i.e., NPL >or= 2) for alcoholism from both the SNP and microsatellite scans. The different results observed between the two scans may be explained by the difference observed in information content between the SNPs and the microsatellites.     

A 3.9-centimorgan-resolution human single-nucleotide polymorphism linkage map and screening set

Recent advances in technologies for high-throughout single-nucleotide polymorphism (SNP)-based genotyping have improved efficiency and cost so that it is now becoming reasonable to consider the use of SNPs for genomewide linkage analysis. However, a suitable screening set of SNPs and a corresponding linkage map have yet to be described. The SNP maps described here fill this void and provide a resource for fast genome scanning for disease genes. We have evaluated 6,297 SNPs in a diversity panel composed of European Americans, African Americans, and Asians. The markers were assessed for assay robustness, suitable allele frequencies, and informativeness of multi-SNP clusters. Individuals from 56 Centre d'Etude du Polymorphisme Humain pedigrees, with >770 potentially informative meioses altogether, were genotyped with a subset of 2,988 SNPs, for map construction. Extensive genotyping-error analysis was performed, and the resulting SNP linkage map has an average map resolution of 3.9 cM, with map positions containing either a single SNP or several tightly linked SNPs. The order of markers on this map compares favorably with several other linkage and physical maps. We compared map distances between the SNP linkage map and the interpolated SNP linkage map constructed by the deCode Genetics group. We also evaluated cM/Mb distance ratios in females and males, along each chromosome, showing broadly defined regions of increased and decreased rates of recombination. Evaluations indicate that this SNP screening set is more informative than the Marshfield Clinic's commonly used microsatellite-based screening set.     

Use of recombinant inbred strains to map genes of aging

Recombinant inbred strains have been used in a number of organisms for segregation and linkage analysis of quantitative traits. One major advantage of the recombinant inbred (RI) methodology is that the genetic identity of individuals within a strain permits replicate measures of the same recombinant genotype. Such replicability is important for traits such as aging inDrosophila, where phenotypic expression is highly influenced by different environmental conditions. RI strain methodology has an added advantage for DNA marker-based linkage analysis of traits measured over the lifespan of the organism. The DNA can be extracted from individuals of the same genotype as those measured in a longevity study. In this paper an argument is presented for the use of a set of recombinant inbred strains to map the quantitative trait loci involved in the aging process inDrosophila. A unique use of a set of stable, transposable moleular markers to trace the quantitative trait loci involved is suggested.     

Electrophoretic detection of single-nucleotide polymorphisms

Single-nucleotide polymorphisms (SNPs) represent the most prevalent class of genetic markers available for linkage disequilibrium or cladistic analyses. PCR primers may be labeled with fluorescent dyes and used to rapidly and accurately differentiate among alleles that are defined by a single-nucleotide differences. Here, we describe the primer-mediated detection of SNPs based on primer mismatch during allele-specific amplification of preamplified target sequences. Primers are labeled with different fluors at their 5' nucleotides, with their 3' termini at the transition mutation that defines allelic variation at the target locus. Each primer perfectly matches one of the two available alleles for each locus. Electrophoretic detection permits characterization of the product both by size and fluor. This report demonstrates some of the capabilities of this assay, including heterozygote determination and multiplexed analysis.     

Use of phage display for detecting single-nucleotide differences in genes]

Experimental strategy has been developed for selection of mismatched DNA binding phages from library of E. coli f1 filamentous phages carrying random peptide inserts on the surface of bacteriophage particles. The strategy is based on the use of phage display technique, DNA heteroduplexes (with single nucleotide variations), and paramagnetic beads. DNA heteroduplexes have been obtained from biotin-labeled PCR product. During the first stage the phage particles were incubated with DNA heteroduplexes possessing mismatched nucleotides. The next step after elimination of free phages and separation of bound phages from DNA heteroduplexes was subtraction of phages binding with DNA heteroduplexes (without mismatched nucleotides). Phages selected by this method were capable of discriminating DNA heteroduplexes with single nucleotide variations from DNA homoduplexes. Phages immobilized on solid base retain their activity and specificity, and therefore can be used for developing a new screening automated method for detecting point mutations and gene polymorphism.     

Heteropolymeric triplex-based genomic assay to detect pathogens or single-nucleotide polymorphisms in human genomic samples

Human genomic samples are complex and are considered difficult to assay directly without denaturation or PCR amplification. We report the use of a base-specific heteropolymeric triplex, formed by native duplex genomic target and an oligonucleotide third strand probe, to assay for low copy pathogen genomes present in a sample also containing human genomic duplex DNA, or to assay human genomic duplex DNA for Single Nucleotide Polymorphisms (SNP), without PCR amplification. Wild-type and mutant probes are used to identify triplexes containing FVL G1691A, MTHFR C677T and CFTR mutations. The specific triplex structure forms rapidly at room temperature in solution and may be detected without a separation step. YOYO-1, a fluorescent bis-intercalator, promotes and signals the formation of the specific triplex. Genomic duplexes may be assayed homogeneously with single base pair resolution. The specific triple-stranded structures of the assay may approximate homologous recombination intermediates, which various models suggest may form in either the major or minor groove of the duplex. The bases of the stable duplex target are rendered specifically reactive to the bases of the probe because of the activity of intercalated YOYO-1, which is known to decondense duplex locally 1.3 fold. This may approximate the local decondensation effected by recombination proteins such as RecA in vivo. Our assay, while involving triplex formation, is sui generis, as it is not homopurine sequence-dependent, as are "canonical triplexes". Rather, the base pair-specific heteropolymeric triplex of the assay is conformation-dependent. The highly sensitive diagnostic assay we present allows for the direct detection of base sequence in genomic duplex samples, including those containing human genomic duplex DNA, thereby bypassing the inherent problems and cost associated with conventional PCR based diagnostic assays.     

Single nucleotide polymorphisms (SNPs) that map to gaps in the human SNP map

An international effort is underway to generate a comprehensive haplotype map (HapMap) of the human genome represented by an estimated 300000 to 1 million ‘tag’ single nucleotide polymorphisms (SNPs). Our analysis indicates that the current human SNP map is not sufficiently dense to support the HapMap project. For example, 24.6% of the genome currently lacks SNPs at the minimal density and spacing that would be required to construct even a conservative tag SNP map containing 300 000 SNPs. In an effort to improve the human SNP map, we identified 140 696 additional SNP candidates using a new bioinformatics pipeline. Over 51 000 of these SNPs mapped to the largest gaps in the human SNP map, leading to significant improvements in these regions. Our SNPs will be immediately useful for the HapMap project, and will allow for the inclusion of many additional genomic intervals in the final HapMap. Nevertheless, our results also indicate that additional SNP discovery projects will be required both to define the haplotype architecture of the human genome and to construct comprehensive tag SNP maps that will be useful for genetic linkage studies in humans.     

A complete map of the human ribosomal protein genes: assignment of 80 genes to the cytogenetic map and implications for human disorders

Mapping of the human ribosomal protein (RP) genes has been completed, and all 80 different genes were placed on a cytogenetic map of the human genome. Because of the existence of processed pseudogenes, the localization of the RP genes was complicated, and five genes had remained to be mapped. Here we developed a novel strategy to identify sequence-tagged sites (STSs) at introns of the RP genes, and we localized RPL14, RPL22, RPL35, RPL36, and RPL39 within the chromosomes by radiation hybrid mapping. Unlike the case of eubacteria or archaebacteria, human RP genes are widely scattered about the genome. Together with the previous results, both sex chromosomes and 20 autosomes (all but chromosomes 7 and 21) were found to carry one or more RP genes. To explore the possible involvement of RP genes in human disorders, all 80 genes were assigned to cytogenetic bands according to a published cytogenetic BAC-STS map of the human genome. We compared the assigned positions with candidate regions for Mendelian disorders and found certain genes that might be involved in particular human disorders.     

Screening for human mitochondrial DNA polymorphisms with denaturing gradient gel electrophoresis

A method involving denaturing gradient gel electrophoresis (DGGE) was developed to detect mitochondrial DNA (mtDNA) polymorphisms in human peripheral T-lymphocytes. DGGE analysis of 100- to 200-bp sequences of low melting temperature domains within the origin/membrane attachment site, NADH dehydrogenase subunit I, cytochrome c oxidase subunit I and two overlapping regions of the tRNA glycine/NADH dehydrogenase subunit III sequences was performed to identify sequence variants at these sites in a human B-cell line TK6 and T-cells from four individuals. A T → C transition at position 16519 in the origin/membrane attachment site in the TK6 cell line and the T-cells from one individual was found. A sequence variant resulting in a G → A transition at position 9966 in the tRNA glycine/NADH dehydrogenase III was identified in another individual. This method should be useful for the rapid screening of polymorphisms in a large number of samples. Received: 19 October 1995 / Revised: 26 March 1996     

A comparison in association and linkage genome-wide scans for alcoholism susceptibility genes using single-nucleotide polymorphisms

We conducted genome-wide linkage scans using both microsatellite and single-nucleotide polymorphism (SNP) markers. Regions showing the strongest evidence of linkage to alcoholism susceptibility genes were identified. Haplotype analyses using a sliding-window approach for SNPs in these regions were performed. In addition, we performed a genome-wide association scan using SNP data. SNPs in these regions with evidence of association (P 相似文献   

Structural location of disease-associated single-nucleotide polymorphisms

Non-synonymous single-nucleotide polymorphism (nsSNP) of genes introduces amino acid changes to proteins, and plays an important role in providing genetic functional diversity. To understand the structural characteristics of disease-associated SNPs, we have mapped a set of nsSNPs derived from the online mendelian inheritance in man (OMIM) database to the structural surfaces of encoded proteins. These nsSNPs are disease-associated or have distinctive phenotypes. As a control dataset, we mapped a set of nsSNPs derived from SNP database dbSNP to the structural surfaces of those encoded proteins. Using the alpha shape method from computational geometry, we examine the geometric locations of the structural sites of these nsSNPs. We classify each nsSNP site into one of three categories of geometric locations: those in a pocket or a void (type P); those on a convex region or a shallow depressed region (type S); and those that are buried completely in the interior (type I). We find that the majority (88%) of disease-associated nsSNPs are located in voids or pockets, and they are infrequently observed in the interior of proteins (3.2% in the data set). We find that nsSNPs mapped from dbSNP are less likely to be located in pockets or voids (68%). We further introduce a novel application of hidden Markov models (HMM) for analyzing sequence homology of SNPs on various geometric sites. For SNPs on surface pocket or void, we find that there is no strong tendency for them to occur on conserved residues. For SNPs buried in the interior, we find that disease-associated mutations are more likely to be conserved. The approach of classifying nsSNPs with alpha shape and HMM developed in this study can be integrated with additional methods to improve the accuracy of predictions of whether a given nsSNP is likely to be disease-associated.     

Functional analysis of regulatory single-nucleotide polymorphisms

PURPOSE OF REVIEW: The identification of regulatory polymorphisms has become a key problem in human genetics. In the past few years there has been a conceptual change in the way in which regulatory single-nucleotide polymorphisms are studied. We revise the new approaches and discuss how gene expression studies can contribute to a better knowledge of the genetics of common diseases. RECENT FINDINGS: New techniques for the association of single-nucleotide polymorphisms with changes in gene expression have been recently developed. This, together with a more comprehensive use of the old in-vitro methods, has produced a great amount of genetic information. When added to current databases, it will help to design better tools for the detection of regulatory single-nucleotide polymorphisms. SUMMARY: The identification of functional regulatory single-nucleotide polymorphisms cannot be done by the simple inspection of DNA sequence. In-vivo techniques, based on primer-extension, and the more recently developed 'haploChIP' allow the association of gene variants to changes in gene expression. Gene expression analysis by conventional in-vitro techniques is the only way to identify the functional consequences of regulatory single-nucleotide polymorphisms. The amount of information produced in the last few years will help to refine the tools for the future analysis of regulatory gene variants.     

Use of haploid mixtures and heteroduplex analysis enhance polymorphisms revealed by denaturing gradient gel electrophoresis

PCR-based codominant genetic markers were developed by using primer sequences designed from cDNA clones of loblolly pine (Pinus taeda L.). Such markers offer certain advantages relative to simple-sequence repeat (SSR), also known as short-tandem repeat (STR) markers, and include the ability to quantify and map DNA polymorphisms in expressed genes. However, detecting these DNA polymorphisms is more problematic because many DNA polymorphisms in genes involve base substitutions rather than insertions or deletions. Denaturing gradient gel electrophoresis (DGGE) is a sensitive and efficient method for detecting sequence differences among PCR fragments. This paper demonstrates the application of DGGE to genetically map expressed genes in loblolly pine. Also, heteroduplex DNA fragments, formed during the amplification of DNA from heterozygotes and from mixes of haploid DNAs from megagametophytes, enhanced and strengthened genetic interpretations and genotypic classifications.     

Use of intercross outbred mice and single nucleotide polymorphisms to map skin cancer modifier loci

Car-R and Car-S outbred mouse lines, phenotypically selected for resistance and susceptibility to skin carcinogenesis respectively, show significant linkage disequilibrium (LD) at genetic markers mapping on chromosomal regions where skin cancer modifier loci (Skts3, Skts1, and Psl1 on Chrs 5, 7, and 9 respectively) have been mapped in standard crosses. Analysis of these regions for genetic linkage with skin cancer phenotypes in 245 (Car-R × Car-S)F₂ intercross mice, by using single nucleotide polymorphisms (SNPs), revealed significant linkage at a possible allelic form of the Skts1 locus, whose mapping region was shortened to a <5.5-cM interval near the Tyr locus. The Car-derived Skts1 locus was linked with papilloma multiplicity and latency by a recessive inheritance of the susceptibility allele. Putative loci on Chr 5 (Skts3) and 9 (Psl1) showed no significant linkage. These results point to the important role of the Stks1 locus in mouse skin tumorigenesis in independent crosses. The shortened Skts1 mapping region should facilitate the identification of candidate genes. Received: 23 June 2000 / Accepted: 22 November 2000     

Linkage map of human chromosome 9 microsatellite polymorphisms.

Ten microsatellite markers composed of polymorphic (CA)n or (AAAT)n repeats were mapped to chromosome 9. PIC values for these markers ranged from 0.46 to 0.82. The marker at the D9S54 locus was localized to 9pter-p22 by means of a somatic cell hybrid; another marker at D9S103 was similarly localized to 9q34-qter. Two-point lod scores and individual meiotic recombination events were used to position the 10 markers relative to each other. The best order resulting from these analyses was D9S54-D9S104-[D9S52-D9S43-D9S50]-D9S53+ ++- [D9S106-D9S105]-D9S51-D9S103, with order of the loci within brackets uncertain. Two-point linkage analysis was also used to approximate the positions of the microsatellite markers relative to those of 33 markers contained in the public CEPH database (v.3) and to one other available microsatellite marker at the D9S15 locus.     

Identification and characterization of coding single-nucleotide polymorphisms within a human olfactory receptor gene cluster

Single-nucleotide polymorphisms (SNPs) were studied in 15 olfactory receptor (OR) coding regions, one control region and two noncoding sequences all residing within a 412 kb OR gene cluster on human chromosome 17p13.3, as well as in other G-protein coupled receptors (GPCRs). A total of 26 SNPs were identified in ORs, 21 of which are coding SNPs (cSNPs). The mean nucleotide diversity of OR coding regions was 0.078% (ranging from 0 to 0.16%), which is about twice higher than that of other GPCRs, and similar to the nucleotide diversity levels of noncoding regions along the human genome. The high polymorphism level in the OR coding regions might be due to a weak positive selection pressure acting on the OR genes. In two cases, OR genes have been found to share the same cSNP. This could be explained by recent gene conversion events, which might be a part of a concerted evolution mechanism acting on the OR superfamily. Using the genotype data of 85 unrelated individuals in 15 SNPs, we found linkage disequilibrium (LD) between pairs of SNPs located on the centromeric part of the cluster. On the other hand, no LD was found between SNPs located on the telomeric part of the cluster, suggesting the presence of several hot-spots for recombination within this cluster. Thus, different regions of this gene cluster may have been subject to different recombination rates.