Sib-pair analysis of the collaborative study on the genetics of alcoholism data set

Nonparametric sib-pair analysis was performed on the Collaborative Study on the Genetics of Alcoholism data set. Concordant and discordant pair groups were examined using the ASPEX package of programs. Allele sharing and multipoint lod scores for six comparison groups were obtained. Sharing and lod score patterns were not consistent with a simple genetic interpretation.     

A linkage analysis of the Gm locus and multiple sclerosis

We conducted linkage analyses of immunoglobulin G heavy chain marker (Gm) phenotypes and multiple sclerosis (MS) in 30 families, each having at least two first-degree relatives with definite/probable MS. These families yielded positive evidence for linkage to human leukocyte antigen (HLA) loci in previous analyses. In the present analysis, however, the results for Gm were negative. Most lod scores were negative, particularly at the smaller recombination values (theta). We explored the possibility of heterogeneity by subgrouping our data on the basis of specific HLA types (A3, B7) and Gm types (Gm1, Gm1,2) within the pedigrees. The results were again negative with no substantial differences in estimates of theta between subgroups.     

Beta-endorphin genetics in the etiology of alcoholism

"Reinforcing" effects are ascribed to endogenous opioids, particularly to the pro-opiomelanocortin (POMC)-derived beta-endorphin 1-31, the most potent opiate-active substance. Alcohol induces variations in the genetic processing of the precursor POMC and of beta-endorphin at different levels. Studies focused on changes in POMC gene expression (mRNA quantitation) and post-translational processing. Chronic alcohol intake significantly reduces POMC mRNA in the lobes of the pituitary. In inbred strains of mice, genotypic differences are seen in post-translational processing of hypothalamic beta-endorphin, thus inducing differences in alcohol sensitivity. Clinical studies show a disproportion of POMC cleavage products in the CSF of chronic alcoholics (reduced beta-endorphin versus increased ACTH contents), together with remarkable indications for baseline differences in beta-endorphin levels. Errors within the genetic sequence of POMC are suggested to underlie alcohol-seeking behavior.     

Hearing the voices of service user researchers in collaborative qualitative data analysis: the case for multiple coding

Background

Health research is frequently conducted in multi‐disciplinary teams, with these teams increasingly including service user researchers. Whilst it is common for service user researchers to be involved in data collection – most typically interviewing other service users – it is less common for service user researchers to be involved in data analysis and interpretation. This means that a unique and significant perspective on the data is absent.

Aim

This study aims to use an empirical report of a study on Cognitive Behavioural Therapy for psychosis (CBTp) to demonstrate the value of multiple coding in enabling service users voices to be heard in team‐based qualitative data analysis.

Design

The CBTp study employed multiple coding to analyse service users’ discussions of CBT for psychosis (CBTp) from the perspectives of a service user researcher, clinical researcher and psychology assistant. Multiple coding was selected to enable multiple perspectives to analyse and interpret data, to understand and explore differences and to build multi‐disciplinary consensus.

Results

Multiple coding enabled the team to understand where our views were commensurate and incommensurate and to discuss and debate differences. Through the process of multiple coding, we were able to build strong consensus about the data from multiple perspectives, including that of the service user researcher.

Discussion

Multiple coding is an important method for understanding and exploring multiple perspectives on data and building team consensus. This can be contrasted with inter‐rater reliability which is only appropriate in limited circumstances.

Conclusion

We conclude that multiple coding is an appropriate and important means of hearing service users’ voices in qualitative data analysis.     

Efficiency of lod scores for representing multiple locus linkage data

The problem of compact, fully efficient representation of multilocus data has not yet been solved. Lod scores can be used to map multilocus data, but because of certain statistical problems, this method loses some information. However, simulation studies show that for distances less than 10 or 20 cMo, where there is little danger of huge overestimates of distance, the lod score method yields estimators just as good as maximum likelihood (ML). Since short distances are the most important, the lod method is quite efficient. Its main drawback is misrepresentation of the likelihood under wrong gene orders. This problem can be ameliorated with a single multipoint calculation under each order. Thus, representation of multipoint data with lod scores can be very practical.     

The Kaiser-Permanente women twins study data set

The Kaiser-Permanente Women Twins Study began with the establishment of a large registry of twins at Kaiser-Permanente, a managed health care program in Oakland, California. In 1978–79, 434 pairs of women twins, 255 monozygotic and 179 dizygotic, with average age 41 years, were recruited from this registry for a study of coronary heart disease risk factors. Previous analyses of these data have shown moderate heritability for blood pressure and high heritability for lipids, even after adjustment for differential environmental covariance between twin types. For GAW8, the data provided included age, race, weight, height, blood pressure, lipids, smoking, alcohol consumption, exercise, degree of contact between co-twins, menstrual status, and medication for hypertension. Exam 2 of this cohort was completed in 1989–90 and has recently reported nearly complete heritability for lipoprotein(a). © 1993 Wiley-Liss, Inc.     

Family density of alcoholism and linkage information in the analysis of the COGA data

In this study of GAW11 Problem 1, we analyzed the genome scan data in families weighted according to the density of alcoholism among the probands' siblings. We hypothesized that certain disease-predisposing alleles may be common in the general population, rendering high-density sibships less informative for linkage. Three types of families were found in the data, with the prevalence of alcoholism of 1.0, 0.78, and 0.24 in the probands' sibships. The linkage results showed several peak lod scores on chromosomes 1, 2, 4, 8, 11, 19, and 21, the majority of which originated in only one or two types of families. However, for almost all markers, the maximum lod scores observed without the weights were equal to or exceeded the values obtained for any single type of family. These results indicate that although the stratification of families may be theoretically justified, in practice the best strategy is to use all available information.     

Design of artificial neural network and its applications to the analysis of alcoholism data

Artificial neural networks were applied to the alcoholism data to reveal nonlinear relationships between intermediate phenotypes, marker identity-by-descent sharing, and the affection status. A variable number of hidden units were considered to achieve a balance between the minimal mean-squared error and over-fitting of the data. The predictability of the affection status based on intermediate phenotype information (event-related potential 300, monoamine oxidase, and gender) was 65% to 75%, and sensitivity/specificity ranged around 50% to 80%. The IBD approach succeeded in identifying the same marker as previous studies, but also found additional peaks.     

A modified method for the epidemiological analysis of registry data on infants with multiple malformations.

BACKGROUND: Infants with multiple malformations are important in birth defect epidemiology and malformation monitoring because human teratogens have often caused complex malformations. Various methods for the analysis of multimalformed infants have been tried. METHOD: By using data from four large registries of congenital malformations, 5256 infants were identified with two or more among 73 selected malformations. Pairwise associations between malformations were detected by multiple logistic regression analyses, and putative confounders (programme, maternal age, autopsy, etc.) were controlled for. For each significant pairwise association, further analyses were performed in order to find associations with a possible third malformation. RESULTS: The importance of controlling for several confounders was demonstrated. Several well-known associations were found, which supports the technique used. The interpretation of three-way associations was discussed. Results from the present study were compared with those obtained using some other methods. CONCLUSIONS: Different confounders can cause biased associations. The method presented in the paper takes this into consideration and is therefore more likely than previously used techniques to give unbiased information on the clustering of different malformations among multimalformed infants.     

A data set for hospital planning.

Hospital managers and planners are facing a data explosion. The concept of Critical Success Factor can help them evaluate the relative importance of the information they receive and structure those data into meaningful patterns.     

多重并行中介分析方法的比较研究

目的:介绍4种多重并行中介模型的分析方法,包括纯回归法、逆概率加权法、扩展的自然效应模型和基于权重的填补法,并对其进行探讨和比较。方法:针对多重并行中介模型,通过3种情境的模拟试验比较不同方法在不同情境下估计直接效应和间接效应的表现,并应用英国生物样本库的数据集进行实例分析。结果:模拟试验和实例分析结果显示纯回归法和逆...     

International collaborative study on juvenile hypertension 1. Study procedures and screening data

The study procedures and the results of blood pressure screening from 8 centres are reported. Data are also presented on age, sex, sexual maturity for girls, height, weight, Quetelet''s index, smoking, and use of antihypertensive drugs for 92.1% of the 18 609 children born in 1964 in the 8 districts and surveyed in 1977. The girls who had reached sexual maturity had the highest means for blood pressure, height, weight, and Quetelet''s index. The proportion of girls who had attained menarche differed geographically. Certain differences were found among the 8 centres in the variables measured, but when age-specific comparisons were made most of the differences in the variables disappeared. Nevertheless a lower systolic blood pressure and height and a higher pulse rate were observed in Havana, Cuba, than in the European cities. Using multivariate analysis, height, weight, pulse rate, age at survey, and sexual maturity together explained somewhat less than 20% and 10% of the variation of systolic and diastolic blood pressures, respectively. These screening data provide a baseline for a longitudinal study that will continue until 1982.     

A study on the factors influencing the community participation of older adults in China: based on the CHARLS2011 data set

Many communities provide older people with various opportunities to participate in the society. The 2010 Chinese census reveals that the majority of the older adults in China are still healthy, but research shows that older adults have relatively low levels of community participation. This study aims to determine the factors that affect the community participation of older adults in China using data collected from the 2011 China Health and Retirement Longitudinal Study (CHARLS). The CHARLS survey used a multistage sampling strategy to select respondents from 450 resident or village communities in China. A total of 17,000 persons from 10,000 families participated in the survey. The sample for this study includes 4283 individuals aged 60 years and above who have been invited to answer the survey based on their participation in entertainment and volunteer activities within the past month; 1009 were from urban areas and 3247 were from rural areas. Using logistic regression, this study identifies several variables that can predict the community participation of older adults. These variables included educational background, residence status, self‐rated living standard and health status, number of available community facilities, expected social support, family care responsibility and involvement/non‐involvement in old‐age insurance schemes. In addition, an urban–rural difference was observed in the participation of these adults in entertainment activities, and the differences between older adults residing in urban and rural areas were insignificant in terms of their participation in volunteer work. These findings imply that the Chinese government should consider these predictors and the urban–rural differences when making policies regarding the community participation of older adults.