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This article summarizes the proceedings of an NIH workshop on timing, intensity, and duration of rehabilitation for acute stroke and hip fracture. Participants concentrated on methodological issues facing investigators and suggested priorities for future research in this area.
This year the Hematology Grants Workshop, chaired by Dr. Robert Todd, includes a comprehensive listing of available NIH, VA, and non-federal grants applicable to fellows and junior faculty as well as to established investigators. In Section II, Dr. Donald Miller discusses the essential principles of successful grant writing with a special emphasis on the young investigator. He highlights the best strategies to take and the common mistakes to avoid. In Section III, Dr. Roy Silverstein outlines the structure of the current NIH Integrated Review Group (IRG) system and the study sections of the most relevance to hematology. He traces the path that a grant takes from review to funding including the way in which grants are reviewed at NIH Study Section Meetings and provides advice in the preparation of revised applications.
This year the Hematology Grants Workshop, chaired by Dr. Todd, includes a comprehensive listing of available National Institutes of Health, Department of Veterans Affairs, and non-federal grants applicable to fellows and junior faculty as well as to established investigators. In Section II, Dr. Miller discusses the essential principles of successful grant writing with a special emphasis on the young investigator. He highlights the best strategies to take and the common mistakes to avoid. In Section III, Dr. Silverstein outlines the structure of the current NIH Integrated Review Group (IRG) system and the study sections of the most relevance to hematology. He traces the path that a grant takes from review to funding including the way in which grants are reviewed at NIH Study Section Meetings and provides advice in the preparation of revised applications.
Waldenström macroglobulinemia (WM) is a B-cell disorder characterized by the infiltration of lymphoplasmacytic cells into bone marrow and the presence of an IgM monoclonal gammopathy. As part of the Third International Workshop on WM, held October 7 to 10, 2004 in Paris, France, a consensus panel charged with providing treatment recommendations for WM updated its recommendations on both frontline and salvage therapies. The panel considered encouraging results from recent studies that addressed the use of extended-dose rituximab as well as other treatment options: therapy with either nucleoside analogs and alkylator agents, rituximab in combination with nucleoside analogs, nucleoside analogs plus alkylator agents, or combination chemotherapies, such as CHOP (cyclophosphamide, doxorubicin, vincristine, prednisone) or cyclophosphamide and dexamethasone. The panel determined that these were reasonable treatment options for WM patients and such therapeutic approaches were likely to yield results that are at least as good as if not better than the currently recommended use of single-agent alkylator, nucleoside analog, or standard-dose rituximab therapy. Such approaches were deemed to be reasonable treatment for WM patients in both the upfront and salvage settings, though randomized studies addressing the efficacy and toxicity of such novel approaches over previously established standard of care options are needed.
The Genetic Analysis Workshop 13 simulated data aimed to mimic the major features of the real Framingham Heart Study data that formed Problem 1, but under a known inheritance model and with 100 replicates, so as to allow evaluation of the statistical properties of various methods. The pedigrees used were the 330 real pedigree structures (comprising 4692 individuals) with some minor changes to protect confidentiality. Fifty trait genes and 399 microsatellite markers were simulated by gene dropping on 22 autosomal chromosomes. Assuming random ascertainment of families, a system of eight longitudinal quantitative traits (designed to be similar to those in the real data) was generated with a wide range of heritabilities, including some pleiotropic and interactive effects. Genes could affect either the baseline level or the rate of change of the phenotype. Hypertension diagnosis and treatment were simulated with treatment availability, compliance, and efficacy depending on calendar year. Nongenetic traits of smoking and alcohol were generated as covariates for other traits. Death was simulated as a hazard rate depending upon age, sex, smoking, cholesterol, and systolic blood pressure. After the complete data were simulated, missing data indicators were generated based on logistic models fitted to the real data, involving the subject's history of previous missing values, together with that of their spouses, parents, siblings, and offspring, as well as marital status, only-child indicators, current value at certain simulated traits, and the data collection pattern on the cohort into which each subject was ascertained.
A variety of Haseman-Elston type regression procedures were used to perform a genome scan across five chromosomes, using replicates 1-5 of the Genetic Analysis Workshop 13 simulated data. The traits of interest were variables corresponding to 'baseline' and 'slope' effects derived from the fasting glucose phenotypes. Performance in terms of detecting the locations of known trait loci was poor for all methods, even when all five replicates were combined to produce a large data set (9230 sib pairs). All methods performed well, however, when applied to new simulated data in which the true genetic effects were allowed to explain a greater proportion of the overall variance.
Discrete (qualitative) data segregation analysis may be performed assuming the liability model, which involves an underlying normally distributed quantitative phenotype. The appropriateness of the liability model for complex traits is unclear. The Genetic Analysis Workshop 13 simulated data provides measures on systolic blood pressure, a highly complex trait, which may be dichotomized into a discrete trait (hypertension). We perform segregation analysis under the liability model of hypertensive status as a qualitative trait and compare this with results using systolic blood pressure as a quantitative trait (without prior knowledge at that stage of the true underlying simulation model) using 1050 pedigrees ascertained from four replicates on the basis of at least one affected member. Both analyses identify models with major genes and polygenic components to explain the family aggregation of systolic blood pressure. Neither of the methods estimates the true parameters well (as the true model is considerably more complicated than those considered for the analysis), but both identified the most complicated model evaluated as the preferred model. Segregation analysis of complex diseases using relatively simple models is unlikely to provide accurate parameter estimates but is able to indicate major gene and/or polygenic components in familial aggregation of complex diseases.
Systolic blood pressure (SBP) is an age-dependent complex trait for which both environmental and genetic factors may play a role in explaining variability among individuals. We performed a genome-wide scan of the rate of change in SBP over time on the Framingham Heart Study data and one randomly selected replicate of the simulated data from the Genetic Analysis Workshop 13. We used a variance-component model to carry out linkage analysis and a Markov chain Monte Carlo-based multiple imputation approach to recover missing information. Furthermore, we adopted two selection strategies along with the multiple imputation to deal with subjects taking antihypertensive treatment. The simulated data were used to compare these two strategies, to explore the effectiveness of the multiple imputation in recovering varying degrees of missing information, and its impact on linkage analysis results. For the Framingham data, the marker with the highest LOD score for SBP slope was found on chromosome 7. Interestingly, we found that SBP slopes were not heritable in males but were for females; the marker with the highest LOD score was found on chromosome 18. Using the simulated data, we found that handling treated subjects using the multiple imputation improved the linkage results. We conclude that multiple imputation is a promising approach in recovering missing information in longitudinal genetic studies and hence in improving subsequent linkage analyses.
BACKGROUND: The multiple metabolic syndrome is defined by a clustering of risk factors for cardiovascular disease. We sought to evaluate the familial correlations of the components of the syndrome using data from the Framingham Heart Study original and offspring cohorts as provided for the Genetic Analysis Workshop 13. Measures of plasma cholesterol (total and HDL), body mass index (BMI), and systolic blood pressure were used from selected calendar years of exams. Familial correlations were calculated using FCOR in S.A.G.E. RESULTS: The sibling correlations were relatively high for all measures and exams, from 0.17 for systolic blood pressure to 0.27 for HDL cholesterol. The parent-child correlations were very similar, except for systolic blood pressure. The avuncular correlations were much smaller and the cousin correlations were even smaller. For HDL cholesterol the avuncular correlation was half the sibling correlation and the cousin correlation was half that again. Spousal correlations ranged from 0.07 for systolic blood pressure to 0.34 for BMI. Correlations were somewhat lower from 1984 to 1987 examinations than from 1971 to 1975 examinations, except for spousal correlations for systolic blood pressure and BMI. CONCLUSION: The results of the family pair correlations are suggestive of genetic determinants of lipid levels and BMI. These components have been shown to be predictive of cardiovascular disease as well as diabetes. Genes in common with each of the components might also influence development of cardiovascular disease and diabetes, both complex diseases.
Although current methods in genetic epidemiology have been extremely successful in identifying genetic loci responsible for Mendelian traits, most common diseases do not follow simple Mendelian modes of inheritance. It is important to consider how our current methodologies function in the realm of complex diseases. The aim of this study was to determine the ability of conventional association methods to fine map a locus of interest. Six study populations were selected from 10 replicates (New York) from the Genetic Analysis Workshop 14 simulated dataset and analyzed for association between the disease trait and locus D2. Genotypes from 45 single-nucleotide polymorphisms in the telomeric region of chromosome 3 were analyzed by Pearson's chi-square tests for independence to test for association with the disease trait of interest. A significant association was detected within the region; however, it was found 3 cM from the documented location of the D2 disease locus. This result was most likely due to the method used for data simulation. In general, this study showed that conventional case-control association methods could detect disease loci responsible for the development of complex traits.
The data provided to the Genetic Analysis Workshop 14 (GAW 14) was the result of a collaboration among several different groups, catalyzed by Elizabeth Pugh from The Center for Inherited Disease Research (CIDR) and the organizers of GAW 14, Jean MacCluer and Laura Almasy. The DNA, phenotypic characterization, and microsatellite genomic survey were provided by the Collaborative Study on the Genetics of Alcoholism (COGA), a nine-site national collaboration funded by the National Institute of Alcohol and Alcoholism (NIAAA) and the National Institute of Drug Abuse (NIDA) with the overarching goal of identifying and characterizing genes that affect the susceptibility to develop alcohol dependence and related phenotypes. CIDR, Affymetrix, and Illumina provided single-nucleotide polymorphism genotyping of a large subset of the COGA subjects. This article briefly describes the dataset that was provided.
The Genetic Analysis Workshop 14 simulated dataset was designed 1) To test the ability to find genes related to a complex disease (such as alcoholism). Such a disease may be given a variety of definitions by different investigators, have associated endophenotypes that are common in the general population, and is likely to be not one disease but a heterogeneous collection of clinically similar, but genetically distinct, entities. 2) To observe the effect on genetic analysis and gene discovery of a complex set of gene x gene interactions. 3) To allow comparison of microsatellite vs. large-scale single-nucleotide polymorphism (SNP) data. 4) To allow testing of association to identify the disease gene and the effect of moderate marker x marker linkage disequilibrium. 5) To observe the effect of different ascertainment/disease definition schemes on the analysis. Data was distributed in two forms. Data distributed to participants contained about 1,000 SNPs and 400 microsatellite markers. Internet-obtainable data consisted of a finer 10,000 SNP map, which also contained data on controls. While disease characteristics and parameters were constant, four "studies" used varying ascertainment schemes based on differing beliefs about disease characteristics. One of the studies contained multiplex two- and three-generation pedigrees with at least four affected members. The simulated disease was a psychiatric condition with many associated behaviors (endophenotypes), almost all of which were genetic in origin. The underlying disease model contained four major genes and two modifier genes. The four major genes interacted with each other to produce three different phenotypes, which were themselves heterogeneous. The population parameters were calibrated so that the major genes could be discovered by linkage analysis in most datasets. The association evidence was more difficult to calibrate but was designed to find statistically significant association in 50% of datasets. We also simulated some marker x marker linkage disequilibrium around some of the genes and also in areas without disease genes. We tried two different methods to simulate the linkage disequilibrium.
BACKGROUND: The GRADE method represents a new approach to grading the quality of evidence and strength of recommendations in the preparation of Clinical Practice Guidelines (CPG). In the context of a pilot study to assess the implementability of the system in Spain, we considered it relevant to gain an insight into the significance of the perceptions and attitudes expressed by the actual experts participating in the system try-out. METHODS: Qualitative research with an ethnographic approach, through non-participant observation and focus groups within the context of a consensus workshop in which 19 CPG experts participated to evaluate the GRADE proposal using 12 evidence tables taken from hypertension, asthma and arthritis CPGs. The interventions were recorded, under a guarantee of confidentiality. The transcriptions and field notes were analyzed, based on a sociological discourse analysis model, and the provisional findings were re-sent to participants in order to improve their validity. RESULTS: 1) Certain problems over procedure and terminology hindered the acceptance of this new method as a common reference system for the preparation of CPGs. 2) A greater closeness to clinical practice was accompanied by concerns over value judgments and subjectivity, with a demand for greater explicitness in the consensus process. 3) The type of "evidence" on which the guidelines are based, how and by whom the evidence is prepared, and what the role of the different actors should be, all constitute unresolved concerns in the CPG preparation and implementation processes. 4) The grading process is not neutral: professional background, prior experience and the degree of leadership all condition the participants' input and interactions. CONCLUSION: The findings obtained allow the quantitative evaluation to be better interpreted and, in turn, go beyond the particularities of the GRADE method. Adaptation to the complexities of clinical practice, the need for carefully designed multi-disciplinary work and the reflexivity present in the CPG preparation process, all represent lines of debate that are necessary to improve the CPG quality in the Spanish health care sector.
Giant double-stranded DNA viruses (such as record breaking Acanthamoeba polyphaga Mimivirus), with particle sizes of 0.2 to 0.6 microm, genomes of 300 kbp to 1.200 kbp, and commensurate complex gene contents, constitute an evolutionary mystery. They challenge the common vision of viruses, traditionally seen as highly streamlined genomes optimally fitted to the smallest possible--filterable--package. Such giant viruses are now discovered in increasing numbers through the systematic sampling of ocean waters as well as freshwater aquatic environments, where they play a significant role in controlling phyto- and bacterio- plankton populations. The 4th Algal Virus Workshop showed that the study of these ecologically important viruses is now massively entering the genomic era, promising a better understanding of their diversity and, hopefully, some insights on their origin and the evolutionary forces that shaped their genomes.
Major advances in technology now drive how we approach questions in immunology, particularly in analyzing complex data sets commonly encountered in genomics and proteomics studies. Active areas of investigation include development of novel technologies, identification of elusive target antigens for RA and other diseases, dissection of signaling pathways connecting the lymphocyte cell surface with the nucleus, and exploration of new avenues for therapeutic interventions. The European Workshop for Rheumatology Research (EWRR) is a forum for many European and non-European scientists to present research findings of high quality. Arthritis researchers from around the globe should be strongly encouraged to attend future meetings, the next of which is the 22nd EWRR meeting in Leiden, the Netherlands, in 2002.
The role of ataxia-telangiectasia mutated (ATM) heterozygosity in cancer is uncertain. In vitro studies of cells from ATM heterozygotes provide strong evidence of radiation sensitivity. Some, but not all, clinical studies suggest an increased risk of breast cancer among ATM gene carriers, and this risk may be greater among those exposed to radiation. This possible excess risk of breast cancer associated with ATM heterozygosity constitutes the basis for several genetic epidemiological studies designed to clarify the role that the ATM gene plays in the etiology of breast and other cancers. The primary focus of this international, multidisciplinary, National Cancer Institute-sponsored workshop was to discuss ongoing and planned epidemiologic studies aimed at understanding the complexities of the ATM gene and its role in carcinogenesis. The invited participants were from diverse disciplines including molecular and clinical genetics, radiation biology and physics, epidemiology, biostatistics, pathology, and medicine. In the present meeting report, the aims of each project are described.
Communication skills are the cornerstone of the patient-provider relationship in cancer care. Lack of these skills can diminish patient disclosure, increase patient anxiety, and decrease satisfaction with care. The purpose of this article is to evaluate the literature regarding the efficacy and outcomes of communication skills training programs for healthcare providers in oncology. Using four databases, the author found 21 research articles about communication skills training programs for healthcare providers in oncology. The majority of published studies involved training programs for experienced clinicians (i.e., physicians, nurses, nurse practitioners, physician assistants) in oncology care. Programs varied in length from 18-105 hours and evaluated communication skills, patient satisfaction and anxiety, and provider confidence and perceived stress. Specific communication skills and provider confidence were statistically improved in 19 of 21 studies. Follow-up data showed maintenance of some skills and attrition of others. Longer programs with consolidation workshops are seen as more effective.
OBJECTIVE: To explore the views of therapists, nurses and doctors working in a variety of rehabilitation settings on the goal-setting process. METHODS: Sixteen rehabilitation staff from three different settings attended a goal-setting workshop in which the difficulties associated with goal-setting were described with their potential solutions. RESULTS: Five difficulties with goal-setting were identified. (1) Formal goal-setting was felt to be an activity unusual for many of the patients although intrinsic to the activity of many professional groups. (2) Goal-setting is often insensitive to people's roles in the community. (3) Goal-setting in the hospital environment does not transfer easily to the community. (4) External factors (e.g. staff turnover) over which staff felt they had little control were important in the success of a goal-setting programme. (5) Goals tend to be formulated and owned by the team, rather than the patient. CONCLUSIONS: Goal-setting is a very satisfactory activity for the team but to be as successful for the patient their needs must be acknowledged. People with mild disability and a short inpatient stay have different needs to those with acute onset severe permanent disability and those with chronic or progressive disability admitted from the community. Comparison of both process and outcome effects of different types of goal-setting is an area for future study.