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At least 487 records · Page 27Linked to original sources
PubMed2003

The chromosomal location of rye AFLP bands.

23 AFLP bands were assigned to different rye chromosomes by means of two different sets of wheat-rye addition lines. Only one AFLP band could be assigned to 4R, and no specific AFLPs were found on the 5R chromosome. Only one AFLP band was explicitly assigned to 4R, and no specific AFLPs were found on the 5R chromosome. At least seven co-migrating AFLPs showed the same chromosomal location in both sets of addition lines. A total of 22 AFLPs were assigned to chromosome 1R using wheat-rye substitution lines. Six of them have counterparts in one of the addition lines analyzed, but only four have the same chromosomal location. Six and four of the total AFLPs located using addition (23) and substitution (22) lines segregated in the mapping population DS2 x RXL10, but only six were simultaneously assigned to the same chromosome by both approaches. Although co-migrating AFLPs could be located on different rye chromosomes using addition and substitution lines, we believe that AFLPs can be useful as rye chromosome markers.

Chimera↗
PubMed2004

[Genetics of preeclampsia: an approach to genetic linkage studies].

Due to its high prevalence during pregnancies, preeclampsia is considered an important public health problem. Many investigators agree in that its expression is related to the interaction between genetic and environmental factors. Many studies have searched for genetic factors, attempting to identify chromosomal regions or candidate genes whose variants may be related to high preeclampsia susceptibility. Several studies have associated a number of susceptibility genes to preeclampsia, but the results have not been replicated consistently in all populations. Mapping of genes and chromosomal regions by linkage analysis has located potential markers on chromosomes 2 and 4. Identification of the genes located in these candidate regions will pinpoint the genetic risk factors, will lead to a better understanding of the syndrome, and will provide clues for its prevention and treatment.

Female↗
PubMed2005

Microsatellite DNA polymorphism divergence in Chinese wheat (Triticum aestivum L.) landraces highly resistant to Fusarium head blight.

Genetic differences between 20 Chinese wheat (Triticum aestivum L.) landraces highly resistant to Fusarium head blight (FHB) and 4 wheat lines highly susceptible to FHB were evaluated by means of microsatellite markers, in order to select suitable parents for gene mapping studies. Thirty-nine out of 40 microsatellite markers (97.5%) were polymorphic among the 24 wheat genotypes. A total of 276 alleles were detected at the 40 microsatellite loci. The number of alleles per locus ranged from 1 to 16, with an average of 6.9 alleles. Among these microsatellite loci, the largest polymorphism information content (PIC) value was 0.914 (GWM484), while the lowest PIC value was 0 (GWM24). The mean genetic similarity index among the 24 genotypes was 0.419, ranging from 0.103 to 0.673. Clustering analysis indicated that the highly susceptible synthetic wheat line RSP was less genetically related to and more divergent from the Chinese highly resistant landraces. These results were useful in the identification of suitable parents for the development of mapping populations for tagging the FHB resistance genes among these Chinese wheat landraces.

DNA, Satellite↗
PubMed1979

Freeze-fracture studies on the plasma membranes of normal human, thrombasthenic, and Bernard-Soulier platelets.

The description of severe molecular deficiencies of different membrane glycoproteins in thrombasthenic and Bernard-Soulier platelets has led us to investigate the intramembrane organization of their plasma membranes using freeze-fracture electron microscopy. An initial examination of the cleaved plasma membranes of freeze-fractured normal human platelets revealed randomly distributed MAPs on the fracture faces of both the outer and inner phospholipid leaflets of the bilayer. Particle densities of 925 +/- 52/micrometer22 on the EF and 427 +/- 29/micrometer2 on the PF were calculated with a computer-linked picture analyzer. The particle size was heterogeneous on both fracture faces, and the number of particles decreased exponentially in the 5 to 13 nm size range. Examination of the platelets of three thrombasthenic patients revealed a low particle density (36% to 69% of the normal range) on the PF of the cleaved plasma membrane and a reduced particle coefficient between the two fracture faces (PF/EF). This abnormality was accompanied by a preferential decrease in the larger sized particles. In marked contrast 8 to 13 nm particles predominated on both fracture faces of the plasma membranes of the platelets of a Bernard-Soulier patient, and a greater concentration of particles on the PF rather than the EF was uniquely observed. The results further define the modified structure of thrombasthenic and Bernard-Soulier platelet plasma membranes and suggest a structural heterogeneity within the total MAP population of the membranes of normal human platelets.

Blood Platelet Disorders↗
PubMed1993

PCR-amplified microsatellites as markers in plant genetics.

In order to assess the feasibility of using microsatellites as markers in plant genetics, a survey of published DNA sequence data for presence, abundance and ubiquity in higher plants of all types of dinucleotide and trinucleotide repeats with a minimum number of 10 and 7 units, respectively, was conducted. This search revealed that such microsatellites are frequent and widely distributed; they were uncovered in 34 species, with a frequency of one every 50 kb. AT repeats were by far the most frequently observed class of dinucleotide microsatellites, whereas AC/TG repeats, which are common in animals, were observed only once. TAT repeats prevailed among trinucleotides. Polymerase chain reaction amplification of (AT)n and (TAT)n microsatellites in soybean (Glycine max (L.) Merr.) revealed that they are highly polymorphic, as a consequence of length variation, somatically stable and inherited in a co-dominant Mendelian manner. The abundance and amount of information derived from such markers, together with the ease by which they can be identified, make them ideal markers for plant genetic linkage and physical mapping, population studies and varietal identification.

Base Sequence↗
PubMed2001

Population based linkage disequilibrium mapping of QTL: an application to simulated data in an isolated population.

Despite successes in mapping and cloning genes involved in rare Mendelian diseases, genetic dissection of quantitative traits into single Mendelian factors still remains a challenging task. As the dense map of single nucleotide polymorphism (SNP) markers becomes available in the near future, linkage disequilibrium (LD) mapping will become one of major tools for mapping and identifying quantitative trait loci (QTL). In this report, we present a population-based linkage disequilibrium mapping of QTL. This method unifies the analysis of mapping QTL in humans and in model organisms and can be used for randomly sampled individuals. The proposed method is applied to search for polymorphism sites within the candidate genes 2 and 6, which influence quantitative traits Q1 and Q2 or Q5, in a simulated data set in an isolated population.

Chromosome Mapping↗
PubMed1998

Linkage disequilibrium mapping in isolated populations: the example of Finland revisited.

Linkage disequilibrium analysis can provide high resolution in the mapping of disease genes because it incorporates information on recombinations that have occurred during the entire period from the mutational event to the present. A circumstance particularly favorable for high-resolution mapping is when a single founding mutation segregates in an isolated population. We review here the population structure of Finland in which a small founder population some 100 generations ago has expanded into 5.1 million people today. Among the 30-odd autosomal recessive disorders that are more prevalent in Finland than elsewhere, several appear to have segregated for this entire period in the "panmictic" southern Finnish population. Linkage disequilibrium analysis has allowed precise mapping and determination of genetic distances at the 0.1-cM level in several of these disorders. Estimates of genetic distance have proven accurate, but previous calculations of the confidence intervals were too small because sampling variation was ignored. In the north and east of Finland the population can be viewed as having been "founded" only after 1500. Disease mutations that have undergone such a founding bottleneck only 20 or so generations ago exhibit linkage disequilibrium and haplotype sharing over long genetic distances (5-15 cM). These features have been successfully exploited in the mapping and cloning of many genes. We review the statistical issues of fine mapping by linkage disequilibrium and suggest that improved methodologies may be necessary to map diseases of complex etiology that may have arisen from multiple founding mutations.

Finland↗
PubMed1995

[Data base for body surface potential maps of normal populations--normal data base by the Japanese Circulation Society Task Force Committee on Criteria for Body Surface Mapping].

In order to evaluate the normal ranges of the body surface potential maps, data from normal healthy subjects were compiled by the Japanese Circulation Society Task Force Committee on Criteria for Body Surface Mapping (Chairman: Shoji Yasui, Nagoya National Hospital). The subjects met all the following criteria; (1) normal physical findings; (2) no heart or lung diseases; (3) no hypertension (160/90 mmHg); (4) normal 12-lead electrocardiogram; (5) normal chest roentgenogram (may be omitted in children); (6) normal findings in exercise test in subjects 40 years of age or older; and (7) no major morbidity. Body surface mapping data were recorded by use of 87-lead mapping systems, HPM-5100, HPM-6500, and VCM-3000 (Fukuda Denshi, and Chunichi Denshi), or 128-lead mapping systems Cardiovision (Tokyo Technological University-Teijin), and Cardiomap (Gakken). To construct the database, each original set of body surface mapping data was copied to an MS-DOS file. Data recorded by a 128-lead mapping system was transformed into an 87-lead system data. Next, each individual data was transformed into a file of common format with a header containing clinical information, and the onset and offset of each electrocardiographic waves. From these secondary files, mean and standard deviation of each electrocardiographic lead were calculated for instantaneous voltages of P wave, QRS wave, and ST-T; time integrals of P, QRS, and QRST; and ventricular activation time, to subgroups divided age and gender. All these data were stored in a optical disk, and also mean and standard deviation for subgroups were stored in a set of floppy disks.(ABSTRACT TRUNCATED AT 250 WORDS)

Adolescent↗
PubMedDate not supplied

Efficiency of population structures for mapping of Mendelian and imprinted quantitative trait loci in outbred pigs using variance component methods.

In a simulation study different designs for a pure line pig population were compared for efficiency of mapping QTL using the variance component method. Phenotypes affected by a Mendelian QTL, a paternally expressed QTL, a maternally expressed QTL or by a QTL without an effect were simulated. In all alternative designs 960 progeny were phenotyped. Given the limited number of animals there is an optimum between the number of families and the family size. Estimation of Mendelian and parentally expressed QTL is more efficient in a design with large family sizes. Too small a number of sires should be avoided to minimize chances of sires to be non-segregating. When a large number of families is used, the number of haplotypes increases which reduces the accuracy of estimating the QTL effect and thereby reduces the power to show a significant QTL and to correctly position the QTL. Dense maps allow for smaller family size due to exploitation of LD-information. Given the different possible modes of inheritance of the QTL using 8 to 16 boars, two litters per dam was optimal with respect to determining significance and correct location of the QTL for a data set consisting of 960 progeny. The variance component method combining linkage disequilibrium and linkage analysis seems to be an appropriate choice to analyze data sets which vary in marker density and which contain complex family structures.

Analysis of Variance↗
PubMedDate not supplied

Mapping genes through the use of linkage disequilibrium generated by genetic drift: 'drift mapping' in small populations with no demographic expansion.

Linkage disequilibrium has been a powerful tool in identifying rare disease alleles in human populations. To date, most research has been directed to isolated populations which have undergone a bottleneck followed by rapid exponential expansion. While this strategy works well for rare diseases in which all disease alleles in the population today are clonal copies of some common ancestral allele, for common disease genes with substantial allelic heterogeneity, this approach is not predicted to work. In this paper, we describe the dynamics of linkage disequilibrium in populations which have not undergone a demographic expansion. In these populations, it is shown that genetic drift creates disequilibrium over time, while in expanded populations, the disequilibrium decays with time. We propose that common disease alleles might be more efficiently identified by drift mapping - linkage disequilibrium mapping in small, old populations of constant size where the disequilibrium is the result of genetic drift, not founder effect. Theoretical models, empirical data, and simulated population models are presented as evidence for the utility of this approach.

Chromosome Mapping↗
PubMed2004

[Founding and genetic analysis of Landrace x Lantang pig resource population for QTL mapping].

With F2 design, 16 Chinese Lantang sows crossbred with eight highly improved Landrace boars to establish a resource population including 40 F1 sows, eight F1 boars, and 232 F2 pigs. Genetic analysis of the resource population showed that the 32 performance traits displayed some degree of variation, and coefficients of variation of the majority of economic traits exceeded 10%. The variance component analysis revealed that the ratios of additive genetic variance to phenotypic variance of the majority of economic traits were high. Of the 22 microsatellite DNA markers, only 12 microsatellite DNA markers are polymorphisic in this populations. The average heterozygosity of these markers and PIC were 0.53 and 0.46 respectively. The results showed that these markers can provide enough information for QTL mapping. In conclusion,the F2 pigs were sufficiently segregated, and were capable of serving as a resource population for QTL mapping.

Animals↗
PubMed2005

A population-based LD map of the human chromosome 6p.

The recent publication of the complete sequence of human chromosome 6 provides a platform from which to investigate genomic sequence variation. We report here a detailed linkage disequilibrium (LD) pattern map across the entire human chromosome 6p by using a set of 1152 single nucleotide polymorphisms (SNPs) in a population of 198 Singaporean Chinese, with 326 SNPs focused in the major histocompatibility complex (MHC) region. Our analysis shows some unexpectedly high segments of strong LD in a 10-Mb region that includes the extremely polymorphic and gene-rich MHC loci and many non-MHC genes. These include the telomeric peri-MHC region that harbors olfactory receptors, histones and zinc finger clusters, and the centromeric peri-MHC region that contains several unknown open reading frames. The data also help refine a human-mouse synteny break in the region between 28.6 and 29.4 Mb. The population-based LD map presented here will provide an essential resource for understanding the genomic sequence variation of chromosome 6p and LD mapping of disease genes of complex genetic traits.

Chromosome Mapping↗
PubMed2002

RFLP genetic linkage maps from four F(2.3) populations and a joinmap of Gossypium hirsutum L.

An RFLP genetic linkage joinmap was constructed from four different mapping populations of cotton ( Gossypium hirsutum L.). Genetic maps from two of the four populations have been previously reported. The third genetic map was constructed from 199 bulk-sampled plots of an F(2.3) (HQ95-6x'MD51ne') population. The map comprises 83 loci mapped to 24 linkage groups with an average distance between markers of 10.0 centiMorgan (cM), covering 830.1 cM or approximately 18% of the genome. The fourth genetic map was developed from 155 bulk-sampled plots of an F(2.3) (119- 5 sub-okrax'MD51ne') population. This map comprises 56 loci mapped to 16 linkage groups with an average distance between markers of 9.3 cM, covering 520.4 cM or approximately 11% of the cotton genome. A core of 104 cDNA probes was shared between populations, yielding 111 RFLP loci. The constructed genetic linkage joinmap from the above four populations comprises 284 loci mapped to 47 linkage groups with the average distance between markers of 5.3 cM, covering 1,502.6 cM or approximately 31% of the total recombinational length of the cotton genome. The linkage groups contained from 2 to 54 loci each and ranged in distance from 1.0 to 142.6 cM. The joinmap provided further knowledge of competitive chromosome arrangement, parental relationships, gene order, and increased the potential to map genes for the improvement of the cotton crop. This is the first genetic linkage joinmap assembled in G. hirsutum with a core of RFLP markers assayed on different genetic backgrounds of cotton populations (Acala, Delta, and Texas plain). Research is ongoing for the identification of quantitative trait loci for agronomic, physiological and fiber quality traits on these maps, and the identification of RFLP loci lineage for G. hirsutum from its diploid progenitors (the A and D genomes).

Journal Article↗
PubMedDate not supplied

A comparison of bivariate and univariate QTL mapping in livestock populations.

This study presents a multivariate, variance component-based QTL mapping model implemented via restricted maximum likelihood (REML). The method was applied to investigate bivariate and univariate QTL mapping analyses, using simulated data. Specifically, we report results on the statistical power to detect a QTL and on the precision of parameter estimates using univariate and bivariate approaches. The model and methodology were also applied to study the effectiveness of partitioning the overall genetic correlation between two traits into a component due to many genes of small effect, and one due to the QTL. It is shown that when the QTL has a pleiotropic effect on two traits, a bivariate analysis leads to a higher statistical power of detecting the QTL and to a more precise estimate of the QTL's map position, in particular in the case when the QTL has a small effect on the trait. The increase in power is most marked in cases where the contributions of the QTL and of the polygenic components to the genetic correlation have opposite signs. The bivariate REML analysis can successfully partition the two components contributing to the genetic correlation between traits.

Animals↗
PubMed2000

Association mapping in structured populations.

The use, in association studies, of the forthcoming dense genomewide collection of single-nucleotide polymorphisms (SNPs) has been heralded as a potential breakthrough in the study of the genetic basis of common complex disorders. A serious problem with association mapping is that population structure can lead to spurious associations between a candidate marker and a phenotype. One common solution has been to abandon case-control studies in favor of family-based tests of association, such as the transmission/disequilibrium test (TDT), but this comes at a considerable cost in the need to collect DNA from close relatives of affected individuals. In this article we describe a novel, statistically valid, method for case-control association studies in structured populations. Our method uses a set of unlinked genetic markers to infer details of population structure, and to estimate the ancestry of sampled individuals, before using this information to test for associations within subpopulations. It provides power comparable with the TDT in many settings and may substantially outperform it if there are conflicting associations in different subpopulations.

Alleles↗
PubMed1999

Population choice in mapping genes for complex diseases.

The difficulty of identifying susceptibility genes for common diseases has polarized geneticists' views on what disease models are appropriate and how best to proceed once high-density genome maps become available. Different disease models have different implications for using linkage or linkage-disequilibrium-based approaches for mapping complex disease genes. We argue that the choice of study population is a critical factor when designing a study, and that genetically simplified isolates are more useful than diverse continental populations under most assumptions.

Alleles↗
PubMed2006

Mapping bacterial surface population physiology in real-time: infrared spectroscopy of Proteus mirabilis swarm colonies.

We mapped the space-time distribution of stationary and swarmer cells within a growing Proteus mirabilis colony by infrared (IR) microspectroscopy. Colony mapping was performed at different positions between the inoculum and the periphery with a discrete microscope-mounted IR sensor, while continuous monitoring at a fixed location over time used an optical fiber based IR-attenuated total reflection (ATR) sensor, or "optrode." Phenotypes within a single P. mirabilis population relied on identification of functional determinants (producing unique spectral signals) that reflect differences in macromolecular composition associated with cell differentiation. Inner swarm colony domains are spectrally homogeneous, having patterns similar to those produced by the inoculum. Outer domains composed of active swarmer cells exhibit spectra distinguishable at multiple wavelengths dominated by polysaccharides. Our real-time observations agree with and extend earlier reports indicating that motile swarmer cells are restricted to a narrow (approximately 3 mm) annulus at the colony edge. This study thus validates the use of an IR optrode for real-time and noninvasive monitoring of biofilms and other bacterial surface populations.

Biofilms↗