scholarly journals Heritability and genetic variance estimation of Osteosarcoma (OSA) in Irish Wolfhound, using deep pedigree information

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mehdi Momen ◽  
Nyah L. Kohler ◽  
Emily E. Binversie ◽  
Mariellen Dentino ◽  
Susannah J. Sample

Abstract Background Osteosarcoma (OSA) is a devastating disease that is common in the Irish Wolfhound breed. The aim of this study was to use a pedigree-based approach to determine the heritability of OSA in the Irish Wolfhound using data from a large publically available database. Results The pedigree used for this study included 5110 pure-bred Irish Wolfhounds, including 332 dogs diagnosed with OSA and 360 control dogs; dogs were considered controls if they lived over 10 years of age and were not reported to have developed OSA. The estimated heritability of OSA in the Irish Wolfhound was 0.65. Conclusion The results of this study indicate that OSA in the Irish Wolfhound is highly heritable, and support the need for future research investigating associated genetic mutations.

2019 ◽  
Vol 8 (4) ◽  
pp. 748-771
Author(s):  
Andy Peytchev

Abstract Response rates in household surveys are declining, increasing the risk of nonresponse bias in survey estimates. Survey costs are increasing. As a result, design features such as higher monetary incentives are needed but often cannot be afforded. Two or more survey protocols could be implemented in parallel, where some have lower nonresponse while others have lower cost, as long as the data can be combined in a way that reflects the reduced potential for nonresponse bias under the more intensive protocol. We describe the main barrier to the use of such an approach—that traditional methods ignore the expected lower bias in one condition. The proposed approach includes random assignment of sample members to a data collection protocol and adjustment of survey estimates to the superior protocol, based on key survey variables—if differences in estimates are found. This represents a major departure from the current practice in constructing nonresponse adjustments and leverages the use of the same sampling design, survey instrument, and measurement procedures in each condition. An illustrative example is presented using data from a national survey. Methods to address both bias reduction and variance estimation are described. We end with limitations and suggestions for future research.


2016 ◽  
Vol 15 (4) ◽  
pp. 143-151 ◽  
Author(s):  
Xiaoming Zheng ◽  
Jun Yang ◽  
Hang-Yue Ngo ◽  
Xiao-Yu Liu ◽  
Wengjuan Jiao

Abstract. Workplace ostracism, conceived as to being ignored or excluded by others, has attracted the attention of researchers in recent years. One essential topic in this area is how to reduce or even eliminate the negative consequences of workplace ostracism. Based on conservation of resources (COR) theory, the current study assesses the relationship between workplace ostracism and its negative outcomes, as well as the moderating role played by psychological capital, using data collected from 256 employees in three companies in the northern part of China. The study yields two important findings: (1) workplace ostracism is positively related to intention to leave and (2) psychological capital moderates the effect of workplace ostracism on affective commitment and intention to leave. This paper concludes by discussing the implications of these findings for organizations and employees, along with recommendations for future research.


Author(s):  
Leah Sawyer Vanderwerp

Using data from the National Longitudinal Survey of Youth-Mother and Child samples, I investigated the relationships among child and adolescent depressive symptoms, having a chronically ill sibling, and other child and familial demographic variables. From research on social support and social role transitions, with the Stress Process as a theoretical model, I hypothesized that children with chronically ill siblings experience more depressive symptoms. Specifically, I looked at age, gender, birth order and family size as potentially reducing the effect size of having a chronically ill sibling. Findings showed that having a chronically ill sibling is associated with demonstrating more depressive symptoms both in the bivariate and multivariate analyses. Although age, gender, birth order and family size do not interact significantly with having a chronically ill sibling in predicting depressive symptoms, they do present interesting findings about childhood depressive symptoms in general. Thus, the results of this study suggest specific and meaningful paths for future research.


SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110269
Author(s):  
Guangbao Fang ◽  
Philip Wing Keung Chan ◽  
Penelope Kalogeropoulos

Using data from the Teaching and Learning International Survey (TALIS; 2013), this article explores teachers’ needs, support, and barriers in their professional development. The research finds that Australian teachers expressed greater needs in information and communication technology (ICT) use and new technology training for teaching, while Shanghai teachers required more assistance to satisfy students’ individual learning and pedagogical competencies. More than 80% of Australian and Shanghai teachers received scheduled time to support their participation in professional development, whereas less than 20% of Australian and Shanghai teachers received monetary or nonmonetary support. In terms of barriers, Australian and Shanghai teachers reported two significant barriers that conflicted with their participation in professional development: “working schedule” and “a lack of incentives to take part.” This article reveals implications of the study in the design of an effective professional development program for Australian and Shanghai teachers and ends with discussing the limitations of the research and future research directions.


2021 ◽  
pp. 095679762097056
Author(s):  
Morgana Lizzio-Wilson ◽  
Emma F. Thomas ◽  
Winnifred R. Louis ◽  
Brittany Wilcockson ◽  
Catherine E. Amiot ◽  
...  

Extensive research has identified factors influencing collective-action participation. However, less is known about how collective-action outcomes (i.e., success and failure) shape engagement in social movements over time. Using data collected before and after the 2017 marriage-equality debate in Australia, we conducted a latent profile analysis that indicated that success unified supporters of change ( n = 420), whereas failure created subgroups among opponents ( n = 419), reflecting four divergent responses: disengagement (resigned acceptors), moderate disengagement and continued investment (moderates), and renewed commitment to the cause using similar strategies (stay-the-course opponents) or new strategies (innovators). Resigned acceptors were least inclined to act following failure, whereas innovators were generally more likely to engage in conventional action and justify using radical action relative to the other profiles. These divergent reactions were predicted by differing baseline levels of social identification, group efficacy, and anger. Collective-action outcomes dynamically shape participation in social movements; this is an important direction for future research.


Author(s):  
John A. Gallis ◽  
Fan Li ◽  
Elizabeth L. Turner

Cluster randomized trials, where clusters (for example, schools or clinics) are randomized to comparison arms but measurements are taken on individuals, are commonly used to evaluate interventions in public health, education, and the social sciences. Analysis is often conducted on individual-level outcomes, and such analysis methods must consider that outcomes for members of the same cluster tend to be more similar than outcomes for members of other clusters. A popular individual-level analysis technique is generalized estimating equations (GEE). However, it is common to randomize a small number of clusters (for example, 30 or fewer), and in this case, the GEE standard errors obtained from the sandwich variance estimator will be biased, leading to inflated type I errors. Some bias-corrected standard errors have been proposed and studied to account for this finite-sample bias, but none has yet been implemented in Stata. In this article, we describe several popular bias corrections to the robust sandwich variance. We then introduce our newly created command, xtgeebcv, which will allow Stata users to easily apply finite-sample corrections to standard errors obtained from GEE models. We then provide examples to demonstrate the use of xtgeebcv. Finally, we discuss suggestions about which finite-sample corrections to use in which situations and consider areas of future research that may improve xtgeebcv.


2021 ◽  
Vol 13 (13) ◽  
pp. 7339
Author(s):  
Vânia Sofia Carvalho ◽  
Alda Santos ◽  
Maria Teresa Ribeiro ◽  
Maria José Chambel

The lockdown, in the COVID-19 pandemic, is considered an external crisis that evokes innumerous changes in individuals lives. One of the changes is the work and family dynamics. Based on boundary theory we examine the mediated role of work and family balance and boundary segmentation behavior in the relationship between boundary violations and teleworkers’ stress and well-being. However, because women and men live their work and family differently, gender may condition the way teleworkers lead with boundary violations and boundary segmentation. Hypotheses were tested through moderated mediation modeling using data collected of 456 teleworkers during lockdown. In line with our expectations, teleworkers who have suffered most boundary violations were those with least boundary segmentation behaviors and with least work-family balance which, in turn was related to higher burnout and lower flourishing. Furthermore, gender was found to moderate the relationship between boundary violations from work-to-family and segmentation behavior in the same direction and this relationship was stronger for females than for males. We discuss implications for future research and for managing teleworkers, creating sustainability, both during a crise and stable days.


2018 ◽  
Vol 74 (12) ◽  
pp. 1910-1915 ◽  
Author(s):  
Taeho Greg Rhee

Abstract Background To estimate prescribing trends of and correlates independently associated with coprescribing of benzodiazepines and opioids among adults aged 65 years or older in office-based outpatient visits. Methods I examined a nationally representative sample of office-based physician visits by older adults between 2006 and 2015 (n = 109,149 unweighted) using data from the National Ambulatory Medical Care Surveys (NAMCS). National rates and prescribing trends were estimated. Then, I used multivariable logistic regression analyses to identify demographic and clinical factors associated with coprescriptions of benzodiazepines and opioids. Results From 2006 to 2015, 15,954 (14.6%) out of 109,149 visits, representative of 39.3 million visits nationally, listed benzodiazepine, opioid, or both medications prescribed. The rate of prescription benzodiazepines only increased monotonically from 4.8% in 2006–2007 to 6.2% in 2014–2015 (p < .001), and the rate of prescription opioids only increased monotonically from 5.9% in 2006–2007 to 10.0% in 2014–2015 (p < .001). The coprescribing rate of benzodiazepines and opioids increased over time from 1.1% in 2006–2007 to 2.7% in 2014–2015 (p < .001). Correlates independently associated with a higher likelihood of both benzodiazepine and opioid prescriptions included: female sex, a visit for chronic care, receipt of six or more concomitantly prescribed medications, and clinical diagnoses of anxiety and pain (p < .01 for all). Conclusion The coprescribing rate of benzodiazepines and opioids increased monotonically over time in outpatient care settings. Because couse of benzodiazepines and opioids is associated with medication burdens and potential harms, future research is needed to address medication safety in these vulnerable populations.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A325-A325
Author(s):  
R A Lorenz ◽  
S L Auerbach ◽  
C Li ◽  
Y Chang

Abstract Introduction Sleep health, a construct introduced to characterize the multidimensional attributes of sleep, has been explored in a variety of populations; however has not been adequately examined for middle-aged and older adults. As attributes of sleep may change with age, the dimensional structure of sleep health may differ in this population. This study aimed to validate a composite measure of sleep health among middle-aged and older adults using data from the Health and Retirement Survey (HRS). Methods Data from the 2014 Core survey of the HRS was used to create a composite measure of Sleep Health including sleep efficiency, duration, timing, satisfaction, and alertness. We standardized and averaged the original variables before transforming to T scores. Sleep Health T scores (ranging 0-100, higher scores indicating better sleep health) were examined using exploratory and confirmatory factor analysis (EFA; CFA). Results Our sample included 6,095 adults with mean age of 68 years (SD=10.1; range 50-99 years). The majority were female (59.7%), white (77%), with high school education (53.9%). Sleep Health T scores ranged from 27-61 (mean=50; SD=6.7). EFA identified one factor. Timing was removed due to low factor loading (&lt;0.4). The revised four-dimension composite Sleep Health measure had acceptable reliability (Cronbach’s alpha 0.6). CFA showed a well-adjusted model (REMSA=0.097; NFI=0.964; RMR=0.035; GFI=0.990; AGFI=0.951). Conclusion These results suggest that the composite measure was valid for assessing sleep health among middle-aged and older adults. Limitations include the use of secondary data, as sleep health dimensions were based on variables not created specifically for our research question. Future research should further examine the role of sleep timing in overall sleep health among middle-aged and older adults. Support This study was supported by the University at Buffalo Clinical and Translational Science Institute (CTSI) funded by the National Institutes of Health (Lorenz, PI).


2021 ◽  
Author(s):  
Khaled Ali Elubous ◽  
Ali Daoud Alebous ◽  
Hebah Ali Abous ◽  
Rawan Ali Elubous

Abstract PURPOSE Evaluation of the research trends in uveal melanoma in the past two decades.METHODS Data were extracted from the Web of Science database website. VOSviewer and Citespace software were used to analyze the retrieved data. RESULTS The leading country in terms of output and international collaboration is the United States. Research interest in genetic mutations, molecular pathways, and immunotherapy was remarkable in recent years. Most of the top ten journals are specialized in ophthalmology. In recent years the hotspots include future perspectives, BAB1 mutation, therapeutic target, and systematic reviews. The keywords with the strongest citation bursts are immunotherapy, outcome, and in situ hybridization. CONCLUSION The output of uveal melanoma research increased during the past two decades. Future research foci may include exploring different mutations role, immunotherapy, molecular alterations, and finding ideal clinical biomarkers.


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