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Comparison of SSCP analysis and CFLP analysis for mutation detection in the human iduronate 2-sulfatase gene.

Scanning methodologies are used for the identification of DNA fragments that differ from the normal nucleotide sequence. Fragments that produce abnormal band patterns are sequenced for characterization of the exact mutation. Factors considered in choosing a scanning methodology include reproducibility, sensitivity, and time. In the present study, we compared single-stranded conformational polymorphism (SSCP) and Cleavase fragment length polymorphism (CFLP) methodologies for mutation scanning of exon VIII in the iduronate 2-sulfatase (IDS) gene. Mutations of the IDS gene result in an X-linked lysosomal storage disease, Hunter syndrome. These six known mutations analyzed by the two methods included a one base pair deletion, a one base pair insertion, and four point mutations. SSCP analysis detected all of the mutations and CFLP analysis detected three of the six mutations. We concluded that SSCP analysis was preferable to CFLP analysis for scanning exon VIII in the IDS gene for mutations.

Base Sequence↗

Genetic variation in resistance to repeated infections with Heligmosomoides polygyrus bakeri, in inbred mouse strains selected for the mouse genome project.

Since the publication of the mouse genome, attention has focused on the strains that were selected for sequencing. In this paper we report the results of experiments that characterized the response to infection with the murine gastrointestinal nematode Heligmosomoides polygyrus of eight new strains (A/J, C57BL/6, C3H, DBA/2, BALB/c, NIH, SJL and 129/J), in addition to the well-characterized CBA (poor responder) and SWR (strong responder) as our controls. We employed the repeated infection protocol (consisting of 7 superimposed doses of 125L3 each administered at weekly intervals, faecal egg counts in weeks 2, 4 and 6 and assessment of worm burdens in week 6) that was used successfully to identify quantitative trait loci for genes involved in resistance to H. polygyrus. SWR, SJL and NIH mice performed indistinguishably and are confirmed as strong responder strains to H. polygyrus. CBA, C3H and A/J mice all tolerated heavy infections and are assessed as poor responders. In contrast, DBA/2, 129/J and BALB/c mice performed variably between experiments, some tolerating heavy worm burdens comparable to those in poor responders, and some showing evidence of resistance, although only in one experiment with female 129/J females and one with female BALB/c was the pattern and extent of worm loss much like that in SWR mice. Because the genetic relationships between six of the strains exploited in this study are now well-understood, our results should enable analysis through single nucleotide polymorphisms and thereby provide more insight into the role of the genes that control resistance to H. polygyrus.

Animals↗

CpG island methylation in human lymphocytes is highly correlated with DNA sequence, repeats, and predicted DNA structure.

CpG island methylation plays an important role in epigenetic gene control during mammalian development and is frequently altered in disease situations such as cancer. The majority of CpG islands is normally unmethylated, but a sizeable fraction is prone to become methylated in various cell types and pathological situations. The goal of this study is to show that a computational epigenetics approach can discriminate between CpG islands that are prone to methylation from those that remain unmethylated. We develop a bioinformatics scoring and prediction method on the basis of a set of 1,184 DNA attributes, which refer to sequence, repeats, predicted structure, CpG islands, genes, predicted binding sites, conservation, and single nucleotide polymorphisms. These attributes are scored on 132 CpG islands across the entire human Chromosome 21, whose methylation status was previously established for normal human lymphocytes. Our results show that three groups of DNA attributes, namely certain sequence patterns, specific DNA repeats, and a particular DNA structure, are each highly correlated with CpG island methylation (correlation coefficients of 0.64, 0.66, and 0.49, respectively). We predicted, and subsequently experimentally examined 12 CpG islands from human Chromosome 21 with unknown methylation patterns and found more than 90% of our predictions to be correct. In addition, we applied our prediction method to analyzing Human Epigenome Project methylation data on human Chromosome 6 and again observed high prediction accuracy. In summary, our results suggest that DNA composition of CpG islands (sequence, repeats, and structure) plays a significant role in predisposing CpG islands for DNA methylation. This finding may have a strong impact on our understanding of changes in CpG island methylation in development and disease.

CpG Islands↗

Future potential of the Human Epigenome Project.

Deciphering the information encoded in the human genome is key for the further understanding of human biology, physiology and evolution. With the draft sequence of the human genome completed, elucidation of the epigenetic information layer of the human genome becomes accessible. Epigenetic mechanisms are mediated by either chemical modifications of the DNA itself or by modifications of proteins that are closely associated with DNA. Defects of the epigenetic regulation involved in processes such as imprinting, X chromosome inactivation, transcriptional control of genes, as well as mutations affecting DNA methylation enzymes, contribute fundamentally to the etiology of many human diseases. Headed by the Human Epigenome Consortium, the Human Epigenome Project is a joint effort by an international collaboration that aims to identify, catalog and interpret genome-wide DNA methylation patterns of all human genes in all major tissues. Methylation variable positions are thought to reflect gene activity, tissue type and disease state, and are useful epigenetic markers revealing the dynamic state of the genome. Like single nucleotide polymorphisms, methylation variable positions will greatly advance our ability to elucidate and diagnose the molecular basis of human diseases.

CpG Islands↗

T-bet polymorphisms are associated with asthma and airway hyperresponsiveness.

RATIONALE: T-bet (TBX21 or T-box 21) is a critical regulator of T-helper 1 lineage commitment and IFN-gamma production. Knockout mice lacking T-bet develop airway hyperresponsiveness (AHR) to methacholine, peribronchial eosinophilic and lymphocytic inflammation, and increased type III collagen deposition below the bronchial epithelium basement membrane, reminiscent of both acute and chronic asthma histopathology. Little is known regarding the role of genetic variation surrounding T-bet in the development of human AHR. OBJECTIVES: To assess the relationship between T-bet polymorphisms and asthma-related phenotypes using family-based association. METHODS: Single nucleotide polymorphism discovery was performed by resequencing the T-bet genomic locus in 30 individuals (including 22 patients with asthma). Sixteen variants were genotyped in 580 nuclear families ascertained through offspring with asthma from the Childhood Asthma Management Program clinical trial. Haplotype patterns were determined from this genotype data. Family-based tests of association were performed with asthma, AHR, lung function, total serum immunoglobulin E, and blood eosinophil levels. MAIN RESULTS: We identified 24 variants. Evidence of association was observed between c.-7947 and asthma in white families using both additive (p = 0.02) or dominant models (p = 0.006). c.-7947 and three other variants were also associated with AHR (log-methacholine PC(20), p = 0.02-0.04). Haplotype analysis suggested that an AHR locus is in linkage disequilibrium with variants in the 3'UTR. Evidence of association of AHR with c.-7947, but not with other 3'UTR SNPs, was replicated in an independent cohort of adult males with AHR. CONCLUSIONS: These data suggest that T-bet variation contributes to airway responsiveness in asthma.

Adolescent↗

Multilocus LD measure and tagging SNP selection with generalized mutual information.

Linkage disequilibrium (LD) plays a central role in fine mapping of disease genes and, more recently, in characterizing haplotype blocks. Classical LD measures, such as D' and r(2), are frequently used to quantify relationship between two loci. A pairwise "distance" matrix among a set of loci can be constructed using such a measure, and based upon which a number of haplotype block detection and tagging single nucleotide polymorphism (SNP) selection algorithms have been devised. Although successful in many applications, the pairwise nature of these measures does not provide a direct characterization of joint linkage disequilibrium among multiple loci. Consequently, applications based on them may lead to loss of important information. In this report, we propose a multilocus LD measure based on generalized mutual information, which is also known as relative entropy or Kullback-Leibler distance. In essence, this measure seeks to quantify the distance between the observed haplotype distribution and the expected distribution assuming linkage equilibrium. We can show that this measure is approximately equal to r(2) in the special case with two loci. Based on this multilocus LD measure and an entropy measure that characterizes haplotype diversity, we propose a class of stepwise tagging SNP selection algorithms. This represents a unified approach for SNP selection in that it takes into account both the haplotype diversity and linkage disequilibrium objectives. Applications to both simulated and real data demonstrate the utility of the proposed methods for handling a large number of SNPs. The results indicate that multilocus LD patterns can be captured well, and informative and nonredundant SNPs can be selected effectively from a large set of loci.

Algorithms↗

An ancestral haplotype defines susceptibility to doxorubicin nephropathy in the laboratory mouse.

Haplotype analysis was used to refine of the DOXNPH locus, which harbors the susceptibility gene for doxorubicin (DOX; Adriamycin) nephropathy, a Mendelian form of selective podocyte injury. Analysis of haplotype structure in three strains with contrasting susceptibility (148 single-nucleotide polymorphisms at 101-kb spacing) was complementary to analysis of recombinants in 176 F2 mice. For example, haplotype analysis but not meiotic mapping could exclude the Abcc1 multidrug transporter, and this was confirmed further by phenotypic evaluation of Abcc1 null mice. Next, comparison of haplotype structure (55 single-nucleotide polymorphisms at 44-kb spacing) with phenotype in 15 inbred strains revealed a risk haplotype that was shared by susceptible strains (P = 0.00017), thereby reducing the DOXNPH region to a 1.3-Mb interval. These data demonstrate that susceptibility to DOX nephropathy represents a founder mutation in the laboratory mouse. Haplotype analysis can be used for identification of the DOXNPH gene and prediction of strain susceptibility pattern.

Animals↗

Nucleotide sequence diversity at the alcohol dehydrogenase 1 locus in wild barley (Hordeum vulgare ssp. spontaneum): an evaluation of the background selection hypothesis.

The background selection hypothesis predicts a reduction in nucleotide site diversity and an excess of rare variants, owing to linkage associations with deleterious alleles. This effect is expected to be amplified in species that are predominantly self-fertilizing. To examine the predictions of the background selection hypothesis in self-fertilizing species, we sequenced 1,362 bp of adh1, a gene for alcohol dehydrogenase (Adh; alcohol:NAD+ oxidoreductase, EC 1.1.1.1), in a sample of 45 accessions of wild barley, Hordeum vulgare ssp. spontaneum, drawn from throughout the species range. The region sequenced included 786 bp of exon sequence (part of exon 4, all of exons 5-9, and part of exon 10) and 576 bp of intron sequence (all of introns 4-9). There were 19 sites polymorphic for nucleotide substitutions, 8 in introns, and 11 in exons. Of the 11 nucleotide substitutions in codons, 4 were synonymous and 7 were nonsynonymous, occurring uniquely in the sample. There was no evidence of recombination in the region studied, and the estimated effective population size (Ne) based on synonymous sites was approximately 1.8-4.2 x 10(5). Several tests reveal that the pattern of nonsynonymous substitutions departs significantly from neutral expectations. However, the data do not appear to be consistent with recovery from a population bottleneck, recent population expansion, selective sweep, or strong positive selection. Though several features of the data are consistent with background selection, the distributions of polymorphic synonymous and intron sites are not perturbed toward a significant excess of rare alleles as would be predicted by background selection.

Alcohol Dehydrogenase↗

Single-strand conformation polymorphism analysis of RT-PCR products of UK isolates of barley yellow mosaic virus.

Single-strand conformation polymorphism (SSCP) analysis of the bipartite genomes of several UK isolates of barley yellow mosaic virus (Ba YMV) was done using fragments of cDNA amplified by RT-PCR. Isolates differed in their SSCP patterns in several regions, but in no case was the pattern able to distinguish between common and resistance-breaking strains. In regions where the nucleotide sequences of UK isolates had been determined, there was no simple relationship between numbers of nucleotide differences and SSCP patterns: differences of only 2 or 3 nucleotides (nt) gave different SSCP patterns, whereas differences of as many as 29 nt did not. Although SSCP analysis has some potential as a rapid and sensitive tool for distinguishing virus isolates, differences detected do not necessarily relate to biological properties and the results are highly dependent on gel conditions.

Acrylic Resins↗

Nucleotide polymorphism in microcin V plasmids.

DNA sequence polymorphism was determined for the microcin V gene cluster encoded on the microcin V plasmids of 12 natural isolates of Escherichia coli. These microcin V gene clusters are similar in DNA sequence, with only 10 of the 683 bp polymorphic. Further, the levels and patterns of microcin V gene cluster polymorphism differ from those of a chromosomal region, trpORF2, sequenced from each of the host isolates. These contrasting levels and patterns of polymorphism suggest that the microcin V gene cluster has experienced an evolutionary history different from that of the host.

Bacteriocins↗

Analysis of single nucleotide polymorphisms in the promoter region of interleukin-10 by denaturing high-performance liquid chromatography.

Interleukin-10 (IL10), an anti-inflammatory cytokine, has been implicated in a variety of immune- and inflammatory-related diseases. We investigated the following SNPs: -1082, -819, -592 in the promoter region of IL10 in a normal (control) population and selected diseases: breast cancer (BrCa), systemic lupus erythematosus (SLE), and B-cell chronic lymphocytic leukemia (B-CLL) by denaturing high-performance liquid chromatography (DHPLC) and found distinct genotype and haplotype patterns. DHPLC was performed using the Transgenomic WAVE instrument, a mutational discovery tool that allows for high throughout analysis of SNPs. The principle of DHPLC is based on separation of homo- and heteroduplex formation of individual polymerase chain reaction products at specific melting temperatures and set gradients. The melting temperature selected for each SNP was based on size and sequence of the polymerase chain reaction product (for -1082, 57 degrees C; for -819, 58 degrees C; and for -592, 59.2 degrees C). Before fragment mutational analysis, all samples were denatured at 95 degrees C and slowly reannealed to allow for reassociation of different strands. Heteroduplex samples were easily distinguished from homoduplex samples. In order to identify wild type from homozygous mutant, two homoduplex polymerase chain reaction samples had to be mixed together, denatured at 95 degrees C and reannealed. The homozygous mutant, when combined with wild type, displayed a double peak on chromatogram. Once distinct chromatograms were established for each of the SNPs and the nucleotide changes confirmed by sequencing, genotype and haplotype frequencies were tabulated for the groups studied.

Base Sequence↗

Hepatitis delta virus genotypes I and II cocirculate in an endemic area of Yakutia, Russia.

Currently, three genotypes of hepatitis delta virus (HDV) are described. The most common, genotype I, has a worldwide distribution; in contrast, genotype II has been found previously only in Japan and Taiwan, while genotype III is found exclusively in South America. Considering the high prevalence of HDV in Northern Siberia (Russia), restriction fragment length polymorphism (RFLP) was used to analyse HDV genotypes from 29 infected patients living in Yakutia. Of these isolates, 11 were characterized by partial nucleotide sequencing and two isolates were completely sequenced. Phylogenetic inference methods included maximum parsimony, maximum likelihood and distance analyses. A restriction pattern consistent with HDV genotype I was found in 14 samples, while the remaining 15 showed a different restriction pattern, inconsistent with any known genotype. Five Yakutian HDV isolates with the type I restriction pattern were sequenced and confirmed to be affiliated with genotype I, although the phylogenetic results indicate that they were heterogeneous and did not cluster together. Sequencing of eight isolates with the new RFLP pattern revealed that these isolates were most closely related to HDV genotype II. In contrast to HDV Yakutian genotype I sequences, all of these type II sequences formed a well-defined clade on phylogenetic trees. Comparison of clinical presentations during hospitalization between patients infected with HDV type I (n=14) and type II (n=15) did not reveal any differences in the severity of infection. These data indicate that the distribution of genotype II is not restricted to Taiwan or Japan, but spreads over Northern Asia, appearing in the native population of Yakutia. Type II Yakutian strains appeared to form a well-defined subclade and could be associated with severe chronic hepatitis in this area.

Adolescent↗

Detection of p53 gene mutations in fine-needle aspiration biopsied breast cancer specimens: correlations with nuclear p53 accumulations and tumor DNA aneuploidy patterns.

Using the polymerase chain reaction and a single strand conformation polymorphism (PCR-SSCP) analysis, p53 gene mutations have been examined preoperatively in aspirated biopsy specimens from 22 breast cancers. In eight (36%) of the studied cases, abnormal bands indicating mutations were detected and were more frequently present in common invasive breast carcinomas. Eight of the breast cancer cases were found to be positive for mutations: direct DNA sequencing confirmed eight mutations and revealed G to A and A to G nucleotide changes in five (63%) and two (25%) cases, respectively. The mutations that were localized at the CpG site of the gene were seen in three cases. Additionally, an immunohistochemical investigation of the presence of the p53 protein and a DNA flow-cytometrical analysis of the 22 resected breast cancers were also performed. Nuclear p53 protein accumulations and a DNA aneuploidy pattern were detected in 11 (50%) cases and in 16 (73%) cases, respectively, and both significantly correlated with p53 gene mutations (P < 0.01 and P < 0.001, respectively; Fisher's exact test). In contrast, in five cases of a breast cancer with a lower histologic grade, no p53 gene mutations, nuclear p53 protein accumulations, or DNA aneuploidy patterns were detected. These results thus suggest that p53 gene mutations, nuclear accumulations of the p53 protein, and a DNA aneuploidy pattern are events that occur with close relationship in the progression of a breast cancer, and that p53 abnormalities appear to correlate with a high grade of the malignancy. Therefore, the detection of p53 gene mutations in aspirated biopsy specimens of breast cancers may be helpful for an accurate and rapid cytological diagnosis, which reflects the prognosis.

Adult↗

Polymerase chain reaction-single strand conformational polymorphism analysis of rearranged during transfection proto-oncogene in Chinese familial Hirschsprung's disease.

AIM: To investigate the relationship between mutations of rearranged during transfection (RET) proto-oncogene and Chinese patients with Hirschsprung's disease (HD), and to elucidate the genetic mechanism of familial HD patient at the molecular level. METHODS: Genomic DNA was extracted from venous blood of probands and their relatives in two genealogies. Polymerase chain reaction (PCR) products, which were amplified using specific primers (RET, exons 11, 13, 15 and 17), were electrophoresed to analyze the single-strand conformational polymorphism (SSCP) patterns. The positive amplified products were sequenced. Forty-eight sporadic HD patients and 30 normal children were screened for mutations of RET proto-oncogene simultaneously. RESULTS: Three cases with HD in one family were found to have a G heterozygous insertion at nucleotide 18,974 in exon 13 of RET cDNA (18,974insG), which resulted in a frameshift mutation. In another family, a heterozygosity for T to G transition at nucleotide 18,888 in the same exon which resulted in a synonymous mutation of Leu at codon 745 was detected in the proband and his father. Eight RET mutations were confirmed in 48 sporadic HD patients. CONCLUSION: Mutations of RET proto-oncogene may play an important role in the pathogenesis of Chinese patients with HD. Detection of mutated RET proto-oncogene carriers may be used for genetic counseling of potential risk for HD in the affected families.

Base Sequence↗

Genotypes of merozoite surface protein 2 of Plasmodium falciparum in Tanzania.

The merozoite surface protein 2 (MSP2) of Plasmodium falciparum is extremely polymorphic: 82 different msp2 alleles were found in 4 studies of molecular epidemiology conducted in Tanzania. This diversity renders msp2 suitable as a marker gene for the genotyping of P. falciparum infections. Amplification of msp2 by the polymerase chain reaction (PCR), and subsequent restriction digests of the PCR product (PCR-restriction fragment length polymorphism genotyping), has proved to be an informative tool for enumerating multiple concurrent infections in a blood sample, and distinguishing individual alleles. Depending on the specific questions asked in a genotyping study, analytical techniques of different degrees of complexity are employed. The restriction fragments resulting from a single HinfI digest generally allow the enumeration of multiple concurrent infections and the determination of their allelic families. When a restriction pattern is too complex to be resolved, owing to the high number of concurrent infections, or due to the appearance of previously undescribed alleles, one or more additional digests (DdeI, RsaI, ScrfI) may be necessary. To determine individual alleles unequivocally, in particular in longitudinal studies, when several consecutive samples need to be compared with each other, a more detailed analysis involving all 3 additional digests is applied. The methodological experience and results gained in 4 epidemiological field studies involving msp2 genotyping are summarized. We also provide the HinfI restriction patterns and some nucleotide sequences of the alleles found so far in our studies in Tanzania.

Alleles↗

The clinical impact of thiopurine methyltransferase polymorphisms on thiopurine treatment.

Acute lymphoblastic leukaemia (ALL) is the most common malignancy of childhood. Although current treatment results in long term survival in over 70% of cases there is evidence that as many as 50% could have been cured using a less complex regimen with a lower incidence of long term side effects. In previous studies it has been found that thiopurines given as part of continuing therapy are key agents in preventing relapse. However, optimal administration during continuing therapy is often not achieved. Variation in the level of thiopurine methyltransferase (TPMT) activity appears to be a major molecular determinant of the extent of thiopurine metabolism. TPMT activity shows a trimodal distribution pattern. A lack of activity is found in approximately one in 300 Caucasians; approximately 11% have intermediate activity and the remaining 89% high activity. Congenital loss of activity is associated with grossly elevated levels of active drug and profound myelosuppression on exposure to thiopurines. This loss of activity has been attributed to single nucleotide polymorphisms (SNPs) within the TPMT gene. The frequency of SNPs is related to ethnicity, with the most common in Caucasians being TPMT*3A which is characterized by a G to A transition at position 460 with a substitution of alanine for tyrosine at amino acid 154 (A154Y) and a transition of A to G at nucleotide 719 resulting in a change of tyrosine to cysteine at position 240 (Y240C). Polymorphisms have also been identified within the 5' flanking promoter region of the TPMT gene due to a variable number of tandem repeats (VNTR*3-*8). An overview of the polymorphisms identified to date, their implication on the metabolism of the thiopurine drugs and therapeutic importance will be discussed.

Alanine↗

Control of glycaemia: from molecules to men. Minkowski Lecture 2003.

Regulation of glycaemia represents a fundamental biological principle, and its failure underlies Type 2 diabetes. The complex aetiology of Type 2 diabetes, which probably involves a medley of molecular mechanisms, requires dissection out of diabetes-associated subphenotypes, such as the non-obese with increased liver fat or the obese with low plasma adiponectin. The concepts of the hyperbolic relationship of insulin secretion and insulin sensitivity with glucose allostasis help us to establish the pathophysiological framework within which such mechanisms must operate. The translation of burgeoning new basic science findings into a physiological and clinical context calls for novel and imaginative clinical experimental tools. For the purpose of this review, four molecules (adiponectin [APM1], stearoyl CoA desaturase-1 [SCD1], insulin receptor substrate-1 [IRS1], peroxisome proliferator-activated receptor-gamma [PPARG]), each with a plausible role in the disease process, have been selected to illustrate the use of such techniques in humans. These include procedures as diverse as isotope dilution for turnover studies (e.g. glycerol turnover as a proxy for lipolysis), conventional and modified clamp procedures, association studies of functionally relevant single nucleotide polymorphisms in candidate genes (e.g. IRS-1 and PPAR gamma), multivariate correlational analyses (as with plasma adiponectin), magnetic resonance spectroscopy to quantify intra-tissue lipid deposition and regional fat distribution, and gas chromatography to determine fatty acid patterns in selected lipid fractions as proxy for intrahepatic enzyme activity. A concerted effort by scientists from many disciplines (genetics and cell biology, physiology and epidemiology) will be required to bridge the growing gap between basic scientific concepts of biological modifiers of glycaemia and concepts that are truly relevant for human Type 2 diabetes.

Adipose Tissue↗

Identification of a novel mutation in exon 13 of the LDL receptor gene causing familial hypercholesterolemia in two Spanish families.

DNA from 30 unrelated Spanish patients with familial hypercholesterolemia (FH) was studied by single-strand conformation polymorphisms (SSCP)/heteroduplex analysis for mutation detection in exon 13 of low density lipoprotein (LDL) receptor gene. Two patients were found to have an abnormal pattern by heteroduplex analysis, and direct sequencing revealed a C to G substitution at nucleotide position 1965, that results in a Phe to Leu change in codon 634, F634L. We have developed a PCR based assay to detect this mutation in family members. We found three additional F634L mutation carriers, and all of them had high cholesterol levels. Haplotype analysis revealed that all F634L mutation carriers had the same allele determined by TaqI -, StuI +, AvaII +, NcoI -, suggesting the presence of a common ancestor. We report a novel mutation located in exon 13 of the LDL receptor gene that causes FH. We also demonstrate the importance of combining SSCP and heteroduplex analysis to improve mutation detection.

Amino Acid Sequence↗