The catalog of human genes and chromosome assignments. A report on human genetic nomenclature and genes that have been mapped in man.
Explore the source record for details and available documents.
Chromosome Mapping↗
SEARCH · Search PubMed
Results for “Maps as Topic”
Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Mapping of 34 minisatellite loci resolved by two-dimensional DNA typing.
Two-dimensional (2-D) DNA typing is based on electrophoretic separation of genomic DNA fragments in two dimensions according to independent criteria (size and base-pair sequence), followed by hybridization analysis using multilocus probes. The technique allows simultaneous visualization of several hundred loci as spots in a 2-D pattern. The majority of the loci resolved are polymorphic. Using linkage analysis in a large CEPH family, this study reports the mapping of 34 loci detected by the minisatellite core probe 33.6. By multipoint linkage analysis, regional chromosome positions of the 33.6 loci could be deduced, showing no evidence of clustering. In the analysis of spot patterns, use was made of a computerized image analysis system specifically designed for 2-D DNA typing. Since experimental variations between different separation patterns were automatically corrected for with this program, rapid and reliable scorings could be obtained. The results presented demonstrate the availability of reliable genetic information throughout the 2-D separation pattern. Adding the use of semiautomated computerized pattern analysis, this study further substantiates the applicability of 2-D DNA typing in genome scanning, not only in theoretical but also in practical terms. Moreover, it can be anticipated that this method will have a specific advantage in studies that scan for trinucleotide repeat expansions and somatic instability, where the repeat sequences detected by appropriate core probes are of particular interest.
Chromosome Mapping↗
A genome-based resource for molecular cardiovascular medicine: toward a compendium of cardiovascular genes.
BACKGROUND: Large-scale partial sequencing of cDNA libraries to generate expressed sequence tags (ESTs) is an effective means of discovering novel genes and characterizing transcription patterns in different tissues. To catalogue the identities and expression levels of genes in the cardiovascular system, we initiated large-scale sequencing and analysis of human cardiac cDNA libraries. METHODS AND RESULTS: Using automated DNA sequencing, we generated 43,285 ESTs from human heart cDNA libraries. An additional 41,619 ESTs were retrieved from public databases, for a total of 84,904 ESTs representing more than 26 million nucleotides of raw cDNA sequence data from 13 independent cardiovascular system-based cDNA libraries. Of these, 55% matched to known genes in the Genbank/EMBL/DDBJ databases, 33% matched only to other ESTs, and 12% did not match to any known sequences (designated cardiovascular system-based ESTs, or CVbESTs). ESTs that matched to known genes were classified according to function, allowing for detection of differences in general transcription patterns between various tissues and developmental stages of the cardiovascular system. In silico Northern analysis of known gene matches identified widely expressed cardiovascular genes as well as genes putatively exhibiting greater tissue specificity or developmental stage specificity. More detailed analysis identified 48 genes potentially overexpressed in cardiac hypertrophy, at least 10 of which were previously documented as differentially expressed. Computer-based chromosomal localizations of 1048 cardiac ESTs were performed to further assist in the search for disease-related genes. CONCLUSIONS: These data represent the most extensive compilation of cardiovascular gene expression information to date. They further demonstrate the untapped potential of genome research for investigating questions related to cardiovascular biology and represent a first-generation genome-based resource for molecular cardiovascular medicine.
Blotting, Northern↗
Linkage disequilibrium mapping via cladistic analysis of phase-unknown genotypes and inferred haplotypes in the Genetic Analysis Workshop 14 simulated data.
We recently described a method for linkage disequilibrium (LD) mapping, using cladistic analysis of phased single-nucleotide polymorphism (SNP) haplotypes in a logistic regression framework. However, haplotypes are often not available and cannot be deduced with certainty from the unphased genotypes. One possible two-stage approach is to infer the phase of multilocus genotype data and analyze the resulting haplotypes as if known. Here, haplotypes are inferred using the expectation-maximization (EM) algorithm and the best-guess phase assignment for each individual analyzed. However, inferring haplotypes from phase-unknown data is prone to error and this should be taken into account in the subsequent analysis. An alternative approach is to analyze the phase-unknown multilocus genotypes themselves. Here we present a generalization of the method for phase-known haplotype data to the case of unphased SNP genotypes. Our approach is designed for high-density SNP data, so we opted to analyze the simulated dataset. The marker spacing in the initial screen was too large for our method to be effective, so we used the answers provided to request further data in regions around the disease loci and in null regions. Power to detect the disease loci, accuracy in localizing the true site of the locus, and false-positive error rates are reported for the inferred-haplotype and unphased genotype methods. For this data, analyzing inferred haplotypes outperforms analysis of genotypes. As expected, our results suggest that when there is little or no LD between a disease locus and the flanking region, there will be no chance of detecting it unless the disease variant itself is genotyped.
Chromosome Mapping↗
Comparisons of case-selection approaches based on allele sharing and/or disease severity index: application to the GAW14 simulated data.
For mapping complex disease traits, linkage studies are often followed by a case-control association strategy in order to identify disease-associated genes/single-nucleotide polymorphisms (SNPs). Substantial efforts are required in selecting the most informative cases from a large collection of affected individuals in order to maximize the power of the study, while taking into consideration study cost. In this article, we applied and extended three case-selection strategies that use allele-sharing information method for families with multiple affected offspring to select most informative cases using additional information on disease severity. Our results revealed that most significant associations, as measured by the lowest p-values, were obtained from a strategy that selected a case with the most allele sharing with other affected sibs from linked families ("linked-best"), despite reduction in sample size resulting from discarding unlinked families. Moreover, information on disease severity appears to be useful to improve the ability to detect associations between markers and disease loci.
Alleles↗
Linkage analysis of the GAW14 simulated dataset with microsatellite and single-nucleotide polymorphism markers in large pedigrees.
Recent studies have suggested that a high-density single nucleotide polymorphism (SNP) marker set could provide equivalent or even superior information compared with currently used microsatellite (STR) marker sets for gene mapping by linkage. The focus of this study was to compare results obtained from linkage analyses involving extended pedigrees with STR and single-nucleotide polymorphism (SNP) marker sets. We also wanted to compare the performance of current linkage programs in the presence of high marker density and extended pedigree structures. One replicate of the Genetic Analysis Workshop 14 (GAW14) simulated extended pedigrees (n = 50) from New York City was analyzed to identify the major gene D2. Four marker sets with varying information content and density on chromosome 3 (STR [7.5 cM]; SNP [3 cM, 1 cM, 0.3 cM]) were analyzed to detect two traits, the original affection status, and a redefined trait more closely correlated with D2. Multipoint parametric and nonparametric linkage analyses (NPL) were performed using programs GENEHUNTER, MERLIN, SIMWALK2, and S.A.G.E. SIBPAL. Our results suggested that the densest SNP map (0.3 cM) had the greatest power to detect linkage for the original trait (genetic heterogeneity), with the highest LOD score/NPL score and mapping precision. However, no significant improvement in linkage signals was observed with the densest SNP map compared with STR or SNP-1 cM maps for the redefined affection status (genetic homogeneity), possibly due to the extremely high information contents for all maps. Finally, our results suggested that each linkage program had limitations in handling the large, complex pedigrees as well as a high-density SNP marker set.
Chromosome Mapping↗
The effect of missing data on linkage disequilibrium mapping and haplotype association analysis in the GAW14 simulated datasets.
We used our newly developed linkage disequilibrium (LD) plotting software, JLIN, to plot linkage disequilibrium between pairs of single-nucleotide polymorphisms (SNPs) for three chromosomes of the Genetic Analysis Workshop 14 Aipotu simulated population to assess the effect of missing data on LD calculations. Our haplotype analysis program, SIMHAP, was used to assess the effect of missing data on haplotype-phenotype association. Genotype data was removed at random, at levels of 1%, 5%, and 10%, and the LD calculations and haplotype association results for these levels of missingness were compared to those for the complete dataset. It was concluded that ignoring individuals with missing data substantially affects the number of regions of LD detected which, in turn, could affect tagging SNPs chosen to generate haplotypes.
Chromosome Mapping↗
Linkage mapping of a complex trait in the New York population of the GAW14 simulated dataset: a multivariate phenotype approach.
Multivariate phenotypes underlie complex traits. Thus, instead of using the end-point trait, it may be statistically more powerful to use a multivariate phenotype correlated to the end-point trait for detecting linkage. In this study, we develop a reverse regression method to analyze linkage of Kofendrerd Personality Disorder affection status in the New York population of the Genetic Analysis Workshop 14 (GAW14) simulated dataset. When we used the multivariate phenotype, we obtained significant evidence of linkage near four of the six putative loci in at least 25% of the replicates. On the other hand, the linkage analysis based on Kofendrerd Personality Disorder status as a phenotype produced significant findings only near two of the loci and in a smaller proportion of replicates.
Chromosome Mapping↗
Simulation-based homozygosity mapping with the GAW14 COGA dataset on alcoholism.
BACKGROUND: We have developed a simulation-based approach to the analysis of shared homozygous chromosomal segments and have applied it to data on allele sharing among alcoholics in a single Collaborative Study on the Genetics of Alcoholism pedigree. Our assessment of sharing involved the use of a single-nucleotide polymorphism (SNP) marker map provided by Affymetrix. RESULTS: All 11 affected individuals in the selected pedigree shared 2 copies of an allele at 4 adjacent SNPs in a region on chromosome 5. Via simulation, we determined that the probability that such sharing is caused by mere chance is less than 0.0000001. After correcting for undocumented inbreeding, this probability rose to 0.0016. The probability that the shared segment emanates from a single ancestor and is unrelated to the affection status is less than 0.0000001 in the corrected pedigree. Haplotype association analysis and a search for a protective locus using unaffected individuals yielded no significant results. CONCLUSION: Homozygosity mapping results on chromosome 5 provide suggestive evidence of the region's role as one that may harbor a genetic determinant of alcoholism. Furthermore, the probabilities of chance homozygous allele sharing for the original and for the inbreeding-corrected pedigree provide insight into the impact that inbreeding can have on such calculations.
Alcoholism↗
Linkage analysis of GAW14 simulated data: comparison of multimarker, multipoint, and conditional approaches.
The purposes of this study were 1) to examine the performance of a new multimarker regression approach for model-free linkage analysis in comparison to a conventional multipoint approach, and 2) to determine the whether a conditioning strategy would improve the performance of the conventional multipoint method when applied to data from two interacting loci. Linkage analysis of the Kofendrerd Personality Disorder phenotype to chromosomes 1 and 3 was performed in three populations for all 100 replicates of the Genetic Analysis Workshop 14 simulated data. Three approaches were used: a conventional multipoint analysis using the Zlr statistic as calculated in the program ALLEGRO; a conditioning approach in which the per-family contribution on one chromosome was weighted according to evidence for linkage on the other chromosome; and a novel multimarker regression approach. The multipoint and multimarker approaches were generally successful in localizing known susceptibility loci on chromosomes 1 and 3, and were found to give broadly similar results. No advantage was found with the per-family conditioning approach. The effect on power and type I error of different choices of weighting scheme (to account for different numbers of affected siblings) in the multimarker approach was examined.
Chromosome Mapping↗
Total internal reflection with fluorescence correlation spectroscopy: nonfluorescent competitors.
Total internal reflection with fluorescence correlation spectroscopy is a method for measuring the surface association/dissociation rate constants and absolute densities of fluorescent molecules at the interface of a planar substrate and solution. This method can also report the apparent diffusion coefficient and absolute concentration of fluorescent molecules very close to the surface. Theoretical expressions for the fluorescence fluctuation autocorrelation function when both surface association/dissociation kinetics and diffusion through the evanescent wave, in solution, contribute to the fluorescence fluctuations have been published previously. In the work described here, the nature of the autocorrelation function when both surface association/dissociation kinetics and diffusion through the evanescent wave contribute to the fluorescence fluctuations, and when fluorescent and nonfluorescent molecules compete for surface binding sites, is described. The autocorrelation function depends in general on the kinetic association and dissociation rate constants of the fluorescent and nonfluorescent molecules, the surface site density, the concentrations of fluorescent and nonfluorescent molecules in solution, the solution diffusion coefficients of the two chemical species, the depth of the evanescent field, and the size of the observed area on the surface. Both general and approximate expressions are presented.
Algorithms↗
Diffusion and binding properties investigated by Fluorescence Correlation Spectroscopy (FCS).
During the last years, Fluorescence Correlation Spectroscopy (FCS) has proven to be a powerful tool for basic research in many applications. The combination of a minimal detection volume in the femtoliter range coupled with very high sensitivity extends the possibilities to design sensitive homogeneous tests. In this article we illustrate the analysis of binding processes with FCS based on the changes in diffusion characteristics of GFP upon binding to an antibody. Problems induced by highly heterogeneous samples are discussed and differences of GFP binding to a monoclonal and a polyclonal antibody are shown and analyzed. We stress data processing, limitations and useful approximations in FCS methodology. Basic ideas of data acquisition and processing as well as new developments and applications are presented.
Algorithms↗
Neural correlates of evaluation associated with promotion and prevention regulatory focus.
Higgins (1997, 1998) proposed two self-regulatory or motivational systems--one sensitive to gains (promotion) and one sensitive to losses (prevention). To examine the interaction of motivation and cognition, participants made good/bad or abstract/concrete judgments about concepts during fMRI scanning. After scanning, participants rated the extent to which each stimulus was good and bad and completed a questionnaire that measured promotion/prevention orientation. For each participant, contrast maps were generated representing the association between neural processing and stimulus valence (good/bad), and these factors were then regressed against participants' promotion and prevention focus scores. For the good/bad but not for the abstract/concrete task, promotion focus was associated with greater activity in the amygdala, anterior cingulate, and extrastriate cortex for positive stimuli, and prevention focus was associated with activity in the same regions for negative stimuli; these results are consistent with the hypothesis that the way in which evaluative information is processed is influenced by individual differences in self-regulatory focus.
Adult↗
Progress in nomenclature and symbols for cytogenetics and somatic-cell genetics.
Explore the source record for details and available documents.
Animals↗
[Thoracic circle in the electrical exploration of the heart].
Explore the source record for details and available documents.
Adolescent↗
Three novel mammalian toll-like receptors: gene structure, expression, and evolution.
We describe three novel genes, encoding members of the Toll-like receptor (Tlr) family (TLR7, TLR8, and TLR9). These Tlr family members, unlike others reported to date, were identified within a genomic database. TLR7 and TLR8 each have three exons, two of which have coding function, and lie in close proximity to one another at Xp22, alongside a pseudogene. The remaining gene (TLR9) resides at 3p21.3 (in linkage with the MyD88 gene), and is expressed in at least two splice forms, one of which is monoexonic and one of which is biexonic, the latter encoding a protein with 57 additional amino acids at the N-terminus. The novel Tlrs comprise a cluster as nearest phylogenetic neighbors. Combining all sequence data related to Toll-like receptors, we have drawn several inferences concerning the phylogeny of vertebrate and invertebrate Tlrs. According to our best estimates, mammalian TLRs 1 and 6 diverged from a common mammalian ancestral gene 95 million years ago. TLR4, which encodes the endotoxin sensor in present-day mammals, emerged as a distinct entity 180 million years ago. TLRs 3 and 5 diverged from a common ancestral gene approximately 150 million years ago, as did Tlr7 and Tlr8. Very likely, fewer Tlrs existed during early vertebrate evolution: at most three or four were transmitted with the primordial vertebrate line. Phylogenetic data that we have adduced in the course of this work also suggest the existence of a Drosophila equivalent of MyD88, and indicate that the plasma membrane protein SIGIRR is close functional relative of MyD88 in mammals. Finally, a single present-day representative of the Toll-like proteins in Drosophila has striking cytoplasmic domain homology to mammalian Tlrs within the cluster that embraces TLRs 1, 2, 4, and 6. This would suggest that an ancestral (pre-vertebrate) Tlr may have adopted a pro-inflammatory function 500 million years ago.
Alternative Splicing↗
In vivo neuroanatomy of Alzheimer's disease: evidence from structural and functional brain imaging.
In vivo structural (CT, MRI) and functional (SPECT, PET) brain imaging techniques have been widely used to study the neuroanatomy and neurophysiology of Alzheimer's disease (AD) and to identify definite biological markers of the disease. We used meta-analytic methods to synthesize this literature to determine what neuroanatomical structures best differentiate patients with AD from healthy normal controls. A total of 125 studies published between 1984 and 2000 that included 3543 patients with AD and 1698 normal healthy controls met inclusion criteria. We found that measures of the temporal cortices, including the amygdala, hippocampus, and inferior temporal lobes, along with the anterior cingulate cortex, associated with the largest magnitudes of effects and, hence, could serve as the most useful structures to help clinicians differentiate AD from healthy normal aging.
Aged↗