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Distribution of methyl substituents in amylose and amylopectin from methylated potato starches.

Granular potato starches were methylated in aqueous suspension with dimethyl sulfate to molar substitution (MS) values up to 0.29. Fractions containing mainly amylose or amylopectin were obtained after aqueous leaching of the derivatised starch granules. Amylopectin in these fractions was precipitated with Concanavalin A to separate it from amylose. Amylose remained in solution and was enzymatically converted into D-glucose for quantification, thereby taking into account the decreased digestibility due to the presence of methyl substituents. It was found that the MS of amylose was 1.6-1.9 times higher than that of amylopectin in methylated starch granules. The distributions of methyl substituents in trimers and tetramers, prepared from amylose- or amylopectin-enriched fractions, were determined by FAB mass spectrometry and compared with the outcome of a statistically random distribution. It turned out that substituents in amylopectin were distributed heterogeneously, whereas substitution of amylose was almost random. The results are rationalised on the basis of an organised framework that is built up from amylopectin side chains. The crystalline lamellae are less accessible for substitution than amorphous branching points and amylose.

Amylopectin↗

Unexpected similarity of pulsed-field gel electrophoresis patterns of unrelated clinical isolates of Legionella pneumophila, serogroup 1.

Phenotypic and genotypic methods identify subtypes of Legionella pneumophila, serogroup 1, and match patient and environmental isolates from suspected sources. The strength of this association is limited by the lack of information regarding the frequency and distribution of isolates belonging to various subtypes. In this study, 62 clinical isolates of L. pneumophila, serogroup 1, were subtyped by using pulsed-field gel electrophoresis (PFGE), to determine the distribution and degree of diversity of PFGE patterns among monoclonal antibody (MAb) subtypes. Unexpectedly, 8 of 21 MAb Philadelphia 1 isolates had a common PFGE pattern, and, among 12 MAb OLDA isolates, only 2 PFGE patterns were seen. Our hypothesis was that PFGE patterns were distributed randomly; however, statistical analysis showed that the distribution of subtypes was not random (Fisher's exact test 0.13; P>.05). In light of these results, researchers who do epidemiological investigations should use caution when interpreting the significance of matching PFGE patterns of L. pneumophila, serogroup 1.

Antibodies, Monoclonal↗

Activation detection in fMRI using a maximum energy ratio statistic obtained by adaptive spatial filtering.

An adaptive spatial filtering method is proposed that takes into account contextual information in fMRI activation detection. This filter replaces the time series of each voxel with a weighted average of time series of a small neighborhood around it. The filter coefficients at each voxel are derived so as to maximize a test statistic designed to indicate the presence of activation. This statistic is the ratio of the energy of the filtered time series in a signal subspace to the energy of the residuals. It is shown that the filter coefficients and the maximum energy ratio can be found through a generalized eigenproblem. This approach equates the filter coefficients to the elements of an eigenvector corresponding to the largest eigenvalue of a specific matrix, while the largest eigenvalue itself becomes the maximum energy ratio that can be used as a statistic for detecting activation. The distribution of this statistic under the null hypothesis is derived by a nonparametric permutation technique in the wavelet domain. Also, in this paper we introduce a new set of basis vectors that define the signal subspace. The space spanned by these basis vectors covers a wide range of possible hemodynamic response functions (HRF) and is applicable to both event related and block design fMRI signal analysis. This approach circumvents the need for a priori assumptions about the exact shape of the HRF. Resting-state experimental fMRI data were used to assess the specificity of the method, showing that the actual false-alarm rate of the proposed method is equal or less than its expected value. Analysis of simulated data and motor task fMRI datasets from six volunteers using the method proposed here showed an improved sensitivity as compared to a conventional test with a similar statistic applied to spatially smoothed data.

Algorithms↗

Investigating the distribution of prostate cancer using three-dimensional computer simulation.

The objective of this work was to investigate the distribution of prostate cancer using three-dimensional (3-D) computer simulation. Two hundred and eighty-one 3-D computer prostate models were constructed from radical prostatectomy specimens. An algorithm was developed which divided each model into 24 symmetrical regions, and it then detected the presence of tumor within an individual region. The distribution rate of prostate cancer was assessed within each region of all 281 prostate models, and the difference between the rates was statistically analyzed using Mantel-Haenszel methodology. There was a statistically significant higher distribution rate of cancer in the posterior half (57.2%) compared to the anterior half ( 40.5%; P=0.001). The base regions (36.8%) had a statistically significant lower distribution rate than either the mid regions (56.3%; P=0.001) or the apical regions (53.5%; P=0.001). The mid regions did have a statistically significant higher distribution rate compared to the apical regions (P=0.032). There was no statistically significant difference between the distribution rate on the left half (48.5%) compared to that on the right half (49.2%; P=0.494). The spatial distribution of prostate cancer can be analyzed using 3-D computer prostate models. The results illustrate that prostate cancer is least commonly located in the anterior half and base regions of the prostate. Through an analysis of the spatial distribution of prostate cancer, we believe that new optimal biopsy strategies and techniques can be developed.

Biopsy↗

Peopling of northern North America: clues from genetic studies.

The paper reviews the archaeological evidence for the length of human occupation in N. America and raises the question whether single or multiple movements of people out of Asia into America occurred, pointing out that considerable genetic variation can occur in small isolated populations in relatively short periods of time. The entire subarctic culture area is populated by speakers of either Athapascan or Algonkian language families. The archaeologic record for tracing the origin of these linguistic groups depends on items of material culture and these have been used to trace the origin of the modern peoples back for a few thousand years. Comparison between groups based on genetic data suffers from unevenness of the data for various Athapascan-and Algonkian-speaking groups. The problem is made more difficult by the smallness of populations and inadequate sample size. The gene diversity measure H of Nei has been used on data for the Athapaskan Dogrib. It suggests that there was probably significant gene diversity present in sub-arctic groups in pre-contact times. Probably this is true also for the Algonkians as typified by the Ojibwa. Examination of the apportioned gene diversity shows that the bulk of the diversity exists within groups rather than between groups. Genetic clues to the peopling of the Americas derive from specific marker genes and from genetic distance statistics. The distribution of the Dia and the GmZa; b03st alleles suggest that Athapaskan genetic links are towards the Bering Sea area while Algonkian connections are towards the south. Nei's genetic distance statistic was calculated for 13 populations using 14 blood group and enzyme loci. The dendrogram derived from the D matrix shows that Eskimos and Chukchi cluster together, and the Athapaskans are closer to the Eskimos than are the Algonkians. These relationships could be valid if the origin of Eskimos goes back to a population of Asiatic Beringia and that populations north of the late Wisconsin ice sheets included a group that led to the Athapaskans whilst populations south of the Wisconsin ice sheet led to the Algonkians.

Anthropology, Physical↗

SNPLINK: multipoint linkage analysis of densely distributed SNP data incorporating automated linkage disequilibrium removal.

SUMMARY: SNPLINK is a Perl script that performs full genome linkage analysis of high-density single nucleotide polymorphism (SNP) marker sets. The presence of linkage disequilibrium (LD) between closely spaced SNP markers can falsely inflate linkage statistics. SNPLINK removes LD from the marker sets in an automated fashion before carrying out linkage analysis. SNPLINK can compute both parametric and non-parametric statistics, utilizing the freely available Allegro and Merlin software. Graphical outputs of whole genome multipoint linkage statistics are provided allowing comparison of results before and after the removal of LD.

Algorithms↗

Guidelines for selecting among different types of bootstraps.

BACKGROUND: The bootstrap has become very popular in health economics. Its success lies in the ease of estimating sampling distribution, standard error and confidence intervals with few or no assumptions about the distribution of the underlying population. OBJECTIVE: The purpose of this paper is three-fold: (1) to provide an overview of four common bootstrap techniques for readers who have little or no statistical background; (2) to suggest a guideline for selecting the most applicable bootstrap technique for your data; and (3) to connect guidelines with a real world example, to illustrate how different bootstraps behave in one model, or in different models. RESULTS: The assumptions of homoscedasticity and normality are key to selecting the best bootstrapping technique. These assumptions should be tested before applying any bootstrapping technique. If homoscedasticity and normality hold, then parametric bootstrapping is consistent and efficient. Paired and wild bootstrapping are consistent under heteroscedasticity and non-normality assumptions. CONCLUSION: Selecting the correct type of bootstrapping is crucial for arriving at efficient estimators. Our example illustrates that if we selected an inconsistent bootstrapping technique, results could be misleading. An insignificant effect of controller treatment on total health expenditures among asthma patients would have been found significant and negative by an improperly chosen bootstrapping technique, regardless of the type of model chosen.

Confidence Intervals↗

The cognitive bias task (CBT) in healthy controls: a replication study.

Contextual processing is the selection and bringing "on-line" of internal representations of a task that can be used in planning and mediating goal-appropriate behavioral responses and is a relevant issue that probably is involved in many neurological and psychiatric conditions. The Cognitive Bias Task is a measure of context-dependent responding, is sensitive to quadrant-lesion effects, and interacts with gender. The goal of this study was to replicate and detail more completely the method of context-dependent processing for healthy control patients on the Cognitive Bias Task. The results show the presence of three different cognitive patterns that could biases the response of control patients: context-independent, context-dependent, and mixed. Gender, but not handedness, significantly influences contextual processing, with more females than males producing a context-independent pattern of responding. Test results and the relation of contextual processing in psychiatric disorders were discussed.

Adult↗

[Relation between variance and the arithmetic mean in frequency distributions under conditions of stochastic dependence].

While the average value of the mitotic index in a primordium is determined by genetic and epigenetic factors, the spatial location of the single mitotic events is stochastic; consequently mitotic density is uneven even in homogeneous areas of the primordium. The statistical frequency distribution of the mitotic events has been studied under three different conditions: (a) no stochastic dependence between adjoining events (random distribution); (b) positive stochastic dependence (facilitation) between adjoining events; (c) negative stochastic dependence (inhibition) between adjoining events. It is concluded that in the first case the variance of the distribution equals the arithmetic mean; in the second case the variance is higher than mean; in the third case variance is lower than mean.

Analysis of Variance↗

Genetic diversity of JC virus in the Saami and the Finns: implications for their population history.

The JC virus (JCV) genotyping method was used to gain insights into the population history of the Saami and the Finns, both speaking Finno-Ugric languages and living in close geographic proximity. Urine samples from Saami and Finns, collected in northern and southern Finland, respectively, were used to amplify a 610-bp JCV-DNA region containing abundant type-specific mutations. Based on restriction site polymorphisms in the amplified fragments, we classified JCV isolates into one of the three superclusters of JCV, type A, B, or C. All 15 Saami isolates analyzed and 41 of 43 Finnish isolates analyzed were classified as type A, the European type, and two samples from Finns were classified as type B, the African/Asian type. We then amplified and sequenced a 583-bp JCV-DNA region from the type A isolates of Saami and Finns. According to type-determining nucleotides within the region, we classified type A isolates into EU-a1, -a2, or -b. Most type A isolates from Saami were classified as EU-a1, while type A isolates from Finns were distributed among EU-a1, EU-a2, and EU-b. This trend in the JCV-genotype distribution was statistically significant. On a phylogenetic tree based on complete sequences, most of the type A isolates from Saami were clustered in a single clade within EU-a1, while those from Finns were distributed throughout EU-a1, EU-a2, and EU-b. These findings are discussed in the context of the population history of the Saami and the Finns. This study provides new complete JCV DNA sequences derived from populations of anthropological interest.

Adult↗