Estimation of genetic and environmental factors for binary traits using family data by Y. Pawitan, M. Reilly, E. Nilsson, S. Cnattingius and P. Lichtenstein,Statistics in Medicine 2004;23:449–465

2005 ◽  
Vol 24 (10) ◽  
pp. 1613-1617 ◽  
Author(s):  
Katrina Scurrah ◽  
Lyle Gurrin ◽  
Lyle Palmer ◽  
Paul Burton
Keyword(s):  
Environmental Factors ◽  
Family Data ◽  
Binary Traits ◽  
Genetic And Environmental Factors

Estimation of genetic and environmental factors for binary traits using family data

2004 ◽  
Vol 23 (3) ◽  
pp. 449-465 ◽  
Author(s):  
Y. Pawitan ◽  
M. Reilly ◽  
E. Nilsson ◽  
S. Cnattingius ◽  
P. Lichtenstein
Keyword(s):  
Environmental Factors ◽  
Family Data ◽  
Binary Traits ◽  
Genetic And Environmental Factors

Estimation of genetic and environmental factors for melanoma onset using population-based family data

2006 ◽  
Vol 25 (18) ◽  
pp. 3110-3123 ◽  
Author(s):  
L. Lindström ◽  
Y. Pawitan ◽  
M. Reilly ◽  
K. Hemminki ◽  
P. Lichtenstein ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Population Based ◽  
Family Data ◽  
Genetic And Environmental Factors

Reductionist thinking and animal models in neuropsychiatric research

2019 ◽  
Vol 42 ◽  
Author(s):  
Nicole M. Baran
Keyword(s):  
Animal Models ◽  
Mental Disorders ◽  
Environmental Factors ◽  
Neuropsychiatric Disorders ◽  
Model Organisms ◽  
Developmental Genetic ◽  
Term Study ◽  
Genetic And Environmental Factors ◽  
Mechanisms Of Plasticity

AbstractReductionist thinking in neuroscience is manifest in the widespread use of animal models of neuropsychiatric disorders. Broader investigations of diverse behaviors in non-model organisms and longer-term study of the mechanisms of plasticity will yield fundamental insights into the neurobiological, developmental, genetic, and environmental factors contributing to the “massively multifactorial system networks” which go awry in mental disorders.

The Association Between Chronic Disease and Psychological Distress: An Australian Twin Study

2020 ◽  
Vol 23 (6) ◽  
pp. 322-329
Author(s):  
Jessica Tyler ◽  
Janine Lam ◽  
Katrina Scurrah ◽  
Gillian Dite
Keyword(s):  
Psychological Distress ◽  
Chronic Disease ◽  
Environmental Factors ◽  
Twin Study ◽  
Disease Status ◽  
Adult Health ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Genetic And Environmental Factors ◽  
Distress Scale

AbstractThere is a commonly observed association between chronic disease and psychological distress, but many potential factors could confound this association. This study investigated the association using a powerful twin study design that can control for unmeasured confounders that are shared between twins, including genetic and environmental factors. We used twin-paired cross-sectional data from the Adult Health and Lifestyle Questionnaire collected by Twins Research Australia from 2014 to 2017. Linear regression models fitted using maximum likelihood estimations (MLE) were used to test the association between self-reported chronic disease status and psychological distress, measured by the Kessler Psychological Distress Scale (K6). When comparing between twin pairs, having any chronic disease was associated with a 1.29 increase in K6 (95% CI: 0.91, 1.66; p < .001). When comparing twins within a pair, having any chronic disease was associated with a 0.36 increase in K6 (95% CI: 0.002, 0.71; p = .049). This within-pair estimate is of most interest as comparing twins within a pair naturally controls for shared factors such as genes, age and shared lived experiences. Whereas the between-pair estimate does not. The weaker effect found within pairs tells us that genetic and environmental factors shared between twins confounds the relationship between chronic disease and psychological distress. This suggests that associations found in unrelated samples may show exaggerated estimates.

scholarly journals Association of a dysbiotic oral microbiota with the development of focal lymphocytic sialadenitis in IκB-ζ-deficient mice

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Junho Lee ◽  
Jehan Alam ◽  
Eunji Choi ◽  
Yeon Kyeong Ko ◽  
Ahreum Lee ◽  
...  
Keyword(s):  
Salivary Gland ◽  
Environmental Factors ◽  
Flow Rate ◽  
Therapeutic Target ◽  
Salivary Flow ◽  
Oral Microbiota ◽  
Disease Phenotype ◽  
Female Mice ◽  
Genetic And Environmental Factors ◽  
Deficient Mice

Abstract Mice lacking IκB-ζ, a protein encoded by the Nfkbiz gene, spontaneously develop a Sjögren’s syndrome-like disease involving the lachrymal glands, but no salivary gland symptoms have been reported. We found that Nfkbiz−/− female mice presented a significantly reduced salivary flow rate, focal lymphocytic sialadenitis (FLS), and a dysbiotic oral microbiota at week 24. To dissect the contributions of genetic and environmental factors to the salivary gland phenotype, Nfkbiz+/+ and Nfkbiz−/− mice were cohoused after weaning and evaluated at week 20. Cohousing alleviated the salivary gland phenotype of Nfkbiz−/− mice but did not induce any disease phenotype in Nfkbiz+/+ mice. Additionally, the oral microbiota in the cohoused mice was synchronized toward that in Nfkbiz+/+ mice. In conclusion, IκB-ζ-deficient mice developed hyposalivation and FLS, in which a dysbiotic oral microbiota played an important role. This finding suggests that the dysbiotic oral microbiota could be a therapeutic target.

scholarly journals The Relation of Genetic and Environmental Factors to Systemic Inflammatory Biomarker Concentrations

2009 ◽  
Vol 2 (3) ◽  
pp. 229-237 ◽  
Author(s):  
Renate B. Schnabel ◽  
Kathryn L. Lunetta ◽  
Martin G. Larson ◽  
Josée Dupuis ◽  
Izabella Lipinska ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Inflammatory Biomarker ◽  
Genetic And Environmental Factors
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