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Human gene mapping and cancer biology.

The topics covered in this paper include: (i) a somatic cell genetics approach for measuring the individual variability in the susceptibility to DNA damage/repair at the level of specific chromosomal sites; (ii) a rationale for a selective chemotherapy and/or immunotherapy of chromosomally unbalanced tumours; and (iii) studies on complementation for sister chromatid exchange (SCE) in roden-human hybrids. Preliminary studies indicate that the 'radiation co-transfer method' for gene mapping can be simplified and used in screening for differences in individual susceptibility to radiation induced chromosomal damage. The second topic is dealt with only speculatively, with the explicit aim of emphasizing a practical application in clinical medicine which may potentially derive from the admittedly esoteric activity of gene mappers. The third topic summarizes a somatic cell genetic approach to the study of SCE in mammalian cells. The high rate of SCE observed in an established rodent cell line can be fully suppressed after hybridization with SCE-normal human cells. However, this suppression can be fully removed after extensive loss of the human chromosome complement. Correspondingly, the high SCE rate of Bloom syndrome cells is fully corrected after hybridization with a Chinese hamster line, though the chromosomes of the latter parental cells continue to exhibit in the hybrid cells the moderately high rate of SCE which is typical of this animal line. These complementation experiments indicate that more than one lesion can upset the normal chromatid replication of mammalian cells and lead to high SCE. The experimental studies described promise to be of significant help for studies on the biology of SCE in general and offer a suitable way of screening for possible genetical heterogeneity among different Bloom syndrome patients.

Chromatids

Information frames: a new multimedia approach to Web-based learning of biology and medicine.

Presentation of content in hyperlinked multimedia formats for teaching has failed using the computer's power of navigation through rich visual and auditory information. We have developed "Information Frames", an authoring tool in hypertext markup language (html) format, that allows easy utilization by technology-challenged teachers and professors, and attracts students because of interactive, design-based learning. An Information Frame contains a definition, explanation and illustration of a single concept. Topics are provided with hyperlinks to other Information Frames having related concepts that may provide prerequisite knowledge, or may raise the concept to a more integrative level. A graphical view of the linked-Information Frames presents a Concept Map of the overall topic.

Computer Communication Networks

Mapper: an intelligent restriction mapping tool.

MOTIVATION: To determine the most powerful artificial intelligence techniques for automated restriction mapping, and use them to create a powerful multiple-enzyme restriction mapping tool. RESULTS: The most effective search engine utilized model-driven exhaustive search and a form of binary logic pruning based on Pratt's separation theory. Additional experimentation led to the development of an input preprocessing module which significantly speeds up searches, and an output post-processing module which enables users to analyze large solution sets and reduce their apparent complexity. AVAILABILITY: An executable version of the resultant tool, Mapper, can be downloaded from our Web site (http://www.ai.eecs.uic.edu) by selecting the 'Software' option. CONTACT: nelson@eecs.uic.edu (http://www.ai.eecs.uic.edu/ñelson).

Algorithms

Averaged electrode voltages: management of electrode failures in children, fluctuating threshold and comfort levels, and otosclerosis.

Implant-generated surface potentials, or averaged electrode voltages (AEVs), were collected by means of the electrode-by-electrode (E-E) mapping variable mode strategy. Three topics were investigated. 1) Eighteen children under the age of 7 were tested and the E-E map of 4 of them was found deviant; all 4 children were deaf owing to meningitis. Some electrodes marked as failing by E-E mapping did not cause problems during device fitting, and electrodes not usable in device fitting showed normal AEVs in 1 child. Overall, the AEVs agreed well with abnormalities in the behavioral threshold (T) and comfort (C) levels. The E-E maps provided useful clues for the audiologist in most cases. 2) Repeated E-E mapping in 2 children who displayed large fluctuations over time of T levels suggested a fluctuation in (neural) responsiveness in 1 child and new bone formation in the other. 3) Although massive phase reversals of AEVs in 2 patients deafened by otosclerosis seemed to indicate a very permeable cochlear bone, stimulation in the pseudomonopolar mode across the basal turn did not affect T levels, and affected pitch perception in only 1 patient. Deviant AEVs from abnormal cochleas should, therefore, not be interpreted too easily as an indication of an electrode failure, faulty electrode placement, or inadequate tonotopy.

Child

Localization of disease clusters using regional measures of spatial autocorrelation.

Maps of disease rates are often used to identify regions with elevated disease rates. The goal of this study was to develop and evaluate a regional measure of spatial autocorrelation for localization of these clusters. A regional spatial autocorrelation coefficient (RSAC) was defined and a theoretical mean and standard deviation was derived for its probability distribution. The RSAC was used to identify spatial units that belong to disease clusters. The sensitivity and specificity of the RSAC method in detecting simulated disease clusters was evaluated. For comparison the simulated data were also used to evaluate methods employed by the National Cancer Institute (NCI) for mapping cancer mortality in the United States. The distribution of pancreatic cancer among the elderly white male population in the United States was also evaluated. Within a simulated disease cluster with a relative risk of 2, the RSAC method detected between 75 per cent and 91 per cent of the units depending on the size of the spatial unit used for the analysis. The corresponding sensitivities of the NCI method ranged from 9 per cent to 68 per cent. The RSAC map of pancreatic cancer demonstrated an area of positive clustering (clustering of high rates) in the south central United States. The RSAC method localized disease clusters with greater sensitivity than the NCI method, particularly when geographic units were small. The RSAC method is an effective tool for the identification of regional disease clusters.

Aged

Covariate adjusted mixture models and disease mapping with the program DismapWin.

The analysis and recognition of disease clustering in space and its representation on a map is an important problem in epidemiology. An approach using mixture models to identify spatial heterogeneity in disease risk and map construction within an empirical Bayes framework is described. Once heterogeneity is detected, the question arises as how explanatory variables could be included in the model. A mixed Poisson regression approach to include covariates is presented. The methods are illustrated using data for tuberculosis from Berlin in 1991.

Algorithms

Use of density equalizing map projections (DEMP) in the analysis of childhood cancer in four California counties.

In studying geographic disease distributions, one normally compares rates among arbitrarily defined geographic subareas (for example, census tracts), thereby sacrificing the geographic detail of the original data. The sparser the data, the larger the subareas must be in order to calculate stable rates. This dilemma is avoided with the technique of density equalizing map projections (DEMP). Boundaries of geographic subregions are adjusted to equalize population density over the entire study area. Case location plotted on the transformed map should have a uniform distribution if the underlying disease rates are constant. The present report describes the application of the DEMP technique to 401 childhood cancer cases occurring between 1980 and 1988 in four California counties, with the use of map files and population data for the 262 tracts of the 1980 Census. A kth nearest neighbour analysis provides strong evidence for geographic non-uniformity in tract rates (p < 10(-4)). No such effect is observed for artificial cases generated under the assumption of constant rates. Work is in progress to repeat the analysis with improved population estimates derived from both 1980 and 1990 Census data. Final epidemiologic conclusions will be reported when that analysis is complete.

California

Toward congruence between theory and practice in small area analysis and local public health data.

Advances in computer hardware, software and database interfaces have provided opportunities for collation, manipulation, analysis and display of spatial data on an unprecedented scale. Demands for small area data in public health, fuelled in part by an increasing emphasis on benchmarking in relation to Year 2000 objectives but also in response to state and federal programmes to involve local communities in the assessment and planning process have simultaneously generated an unprecedented demand for these analyses and data presentations. This paper discusses four areas where geographic, cartographic and statistical theory and methodology need to be brought to bear on the development of applications involving small area health data. These areas are: (i) the theoretical conceptions of space; (ii) managing the inherent variability of rates and frequencies; (iii) attribution of events or cases to areas or to points; and (iv) the application of sound principles of cartographic design to the presentation of results.

Censuses