The Chinese National Twin Registry: An Update

2013 ◽  
Vol 16 (1) ◽  
pp. 86-90 ◽  
Author(s):  
Liming Li ◽  
Wenjing Gao ◽  
Canqing Yu ◽  
Jun Lv ◽  
Weihua Cao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Diseases ◽  
Environmental Risk ◽  
Population Based ◽  
Environmental Risk Factors ◽  
Twin Registry ◽  
The Relationship ◽  
Discordant Twin

The Chinese National Twin Registry (CNTR), established in 2001, is the first and largest population-based twin registry in China. Based on the CNTR, a new twin cohort was recruited from 2011 to study the relationship between environmental risk factors and chronic diseases. So far, 33,874 twin pairs from nine provinces have been recruited, in which hundreds of disease-discordant twin pairs and even thousands of exposure-discordant twin pairs were found in this cohort. The updates of the CNTR will be introduced in detail in this article.

UK IBD Twin Registry: Concordance and Environmental Risk Factors of Twins with IBD

2021 ◽  
Author(s):  
Hannah Gordon ◽  
William Blad ◽  
Frederik Trier Møller ◽  
Timothy Orchard ◽  
Alan Steel ◽  
...  
Keyword(s):  
Risk Factors ◽  
Environmental Risk ◽  
Environmental Risk Factors ◽  
Twin Registry

scholarly journals Genetic and Environmental Risk Factors for Intracerebral Hemorrhage

Stroke ◽  
2001 ◽  
Vol 32 (suppl_1) ◽  
pp. 321-321
Author(s):  
Daniel Woo ◽  
Laura Sauerbeck ◽  
Brett M Kissela ◽  
Jane C Khoury ◽  
Rakesh Shukla ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intracerebral Hemorrhage ◽  
Environmental Risk ◽  
Multivariable Analysis ◽  
Population Based ◽  
Environmental Risk Factors ◽  
Degree Relative ◽  
Increased Risk ◽  
Apo E ◽  
Apo E Genotype

27 Introduction: We report a planned midpoint analysis of a prospective, population-based, case-control study of the genetic and environmental risk factors of spontaneous, non-traumatic, intracerebral hemorrhage (ICH). Methods: Cases were matched to two controls by age, race and gender. Data was obtained by direct interview and review of all available medical and neuroimaging data. Apolipoprotein E (Apo E)genotype was determined by polymerase chain reaction. Multivariable analyses were performed using logistic regression modeling. Results: Between 6/97 and 2/00, 189 cases of ICH (150 white/39 black; 68 lobar/121 non-lobar) and 368 controls were enrolled into the study. Independent risk factors for multivariable analysis are listed in the table. Only prior stroke was an independent risk factor for both lobar and non-lobar ICH. Conclusions: The importance of individual genetic and environmental risk factors for ICH vary substantially by location of ICH. A history of a first-degree relative with ICH was associated with an increased risk of lobar ICH, independent of Apo E genotype. This finding indicates that other genetic risk factors may be important in the development of ICH.

Major depression and phobias: the genetic and environmental sources of comorbidity

1993 ◽  
Vol 23 (2) ◽  
pp. 361-371 ◽  
Author(s):  
Kenneth S. Kendler ◽  
Michael C. Neale ◽  
Ronald C. Kessler ◽  
Andrew C. Heath ◽  
Lindon J. Eaves
Keyword(s):  
Risk Factors ◽  
Major Depression ◽  
Social Phobia ◽  
Environmental Risk ◽  
Population Based ◽  
Environmental Risk Factors ◽  
The Other ◽  
Genetic Vulnerability ◽  
Animal Phobias ◽  
Shared Genetic

SynopsisIn a population based sample of 2163 personally interviewed female twins, substantial comorbidity was observed between DSM-III-R defined major depression (MD) and 4 subtypes of phobia: agoraphobia, social phobia, animal phobia and situational phobia. However, the level of comorbidity of MD with agoraphobia was much greater than that found with the other phobic subtypes. We conducted bivariate twin analyses to decompose the genetic and environmental sources of comorbidity between MD and the phobias. Our results suggest that a modest proportion of the genetic vulnerability to MD also influences the risk for all phobic subtypes, with the possible exception of situational phobias. Furthermore, the magnitude of comorbidity resulting from this shared genetic vulnerability is similar across the phobic subtypes. By contrast, the non-familial environmental experiences which predispose to depression substantially increase the vulnerability to agoraphobia, have a modest impact on the risk for social and situational phobias and no effect on the risk for animal phobias. The increased comorbidity between MD and agoraphobia results, nearly entirely, from individual-specific environmental risk factors for MD which also increase the risk for agoraphobia but not for other phobias.

scholarly journals Impact of road network structure on dementia-related missing incidents: a spatial buffer approach

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Vaisakh Puthusseryppady ◽  
Ed Manley ◽  
Ellen Lowry ◽  
Martyn Patel ◽  
Michael Hornberger
Keyword(s):  
Risk Factors ◽  
Network Structure ◽  
Environmental Risk ◽  
Real World ◽  
Road Network ◽  
Buffer Zone ◽  
Environmental Risk Factors ◽  
Life Threatening ◽  
Intersection Density ◽  
The Relationship

Abstract Dementia-related missing incidents are a highly prevalent issue worldwide. Despite being associated with potentially life-threatening consequences, very little is still known about what environmental risk factors may potentially contribute to these missing incidents. The aim of this study was to conduct a retrospective, observational analysis using a large sample of police case records of missing individuals with dementia (n = 210). Due to the influence that road network structure has on our real world navigation, we aimed to explore the relationship between road intersection density, intersection complexity, and orientation entropy to the dementia-related missing incidents. For each missing incident location, the above three variables were computed at a 1 km radius buffer zone around these locations; these values were then compared to that of a set of random locations. The results showed that higher road intersection density, intersection complexity, and orientation entropy were all significantly associated with dementia-related missing incidents. Our results suggest that these properties of road network structure emerge as significant environmental risk factors for dementia-related missing incidents, informing future prospective studies as well as safeguarding guidelines.

scholarly journals The Relationship Between the Genetic and Environmental Influences on Common Externalizing Psychopathology and Mental Wellbeing

2011 ◽  
Vol 14 (6) ◽  
pp. 516-523 ◽  
Author(s):  
Kenneth S. Kendler ◽  
John M. Myers ◽  
Corey L. M. Keyes
Keyword(s):  
Risk Factors ◽  
Environmental Risk ◽  
Genetic Risk ◽  
Genetic Risk Factors ◽  
Environmental Risk Factors ◽  
Mental Wellbeing ◽  
Negatively Associated ◽  
Externalizing Psychopathology ◽  
Internalizing Psychopathology ◽  
The Relationship

To determine the relationship between the genetic and environmental risk factors for externalizing psychopathology and mental wellbeing, we examined detailed measures of emotional, social and psychological wellbeing, and a history of alcohol-related problems and smoking behavior in the last year in 1,386 individual twins from same-sex pairs from the MIDUS national US sample assessed in 1995. Cholesky decomposition analyses were performed withthe Mx program. The best fit model contained one highly heritable common externalizing psychopathology factor for both substance use/abuse measures, and one strongly heritable common factor for the three wellbeing measures. Genetic and environmental risk factors for externalizing psychopathology were both negatively associated with levels of mental wellbeing and accounted for, respectively, 7% and 21% of its genetic and environmental influences. Adding internalizing psychopathology assessed in the last year to the model, genetic risk factors unique for externalizing psychopathology were now positively related to levels of mental wellbeing, although accounting for only 5% of the genetic variance. Environmental risk factors unique to externalizing psychopathology continued to be negatively associated with mental wellbeing, accounting for 26% of the environmental variance. When both internalizing psychopathology and externalizing psychopathology are associated with mental wellbeing, the strongest risk factors for low mental wellbeing are genetic factors that impact on both internalizing psychopathology and externalizing psychopathology, and environmental factors unique to externalizing psychopathology. In this model, genetic risk factors for externalizing psychopathology predict, albeit weakly, higher levels of mental wellbeing.

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