Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
Nat Genet ; 47(12): 1443-8, 2015 Dec.
Article in English | MEDLINE | ID: mdl-26482880

ABSTRACT

Alcohol misuse is the leading cause of cirrhosis and the second most common indication for liver transplantation in the Western world. We performed a genome-wide association study for alcohol-related cirrhosis in individuals of European descent (712 cases and 1,426 controls) with subsequent validation in two independent European cohorts (1,148 cases and 922 controls). We identified variants in the MBOAT7 (P = 1.03 × 10(-9)) and TM6SF2 (P = 7.89 × 10(-10)) genes as new risk loci and confirmed rs738409 in PNPLA3 as an important risk locus for alcohol-related cirrhosis (P = 1.54 × 10(-48)) at a genome-wide level of significance. These three loci have a role in lipid processing, suggesting that lipid turnover is important in the pathogenesis of alcohol-related cirrhosis.


Subject(s)
Acyltransferases/genetics , Genome-Wide Association Study , Lipase/genetics , Liver Cirrhosis, Alcoholic/genetics , Membrane Proteins/genetics , Polymorphism, Single Nucleotide/genetics , Adult , Aged , Case-Control Studies , Female , Genetic Predisposition to Disease , Humans , Male , Middle Aged , Risk Factors
2.
Soc Psychiatry Psychiatr Epidemiol ; 44(7): 592-600, 2009 Jul.
Article in English | MEDLINE | ID: mdl-19011719

ABSTRACT

BACKGROUND: The recent increase in the incidence of clinical depression represents a major public health and socio-economical burden. Depression has its roots in both professional and private domains but few epidemiological studies have looked at predictors of long term clinical depression as defined by a sick-leave of 28 days or more and a diagnosis by a general practitioner in both genders. OBJECTIVES: To study baseline predictors of long term spells of clinical depression within the framework of a large prospective study, the Belstress Study, in 6,659 men and 2,737 women aged 35-59 years at baseline survey. METHODS: Kaplan-Meyer survival curves and Cox regression models were used in order to relate long term clinical depression defined by a sick-leave of 28 days or more to baseline socio-demographic and work and non-work variables. RESULTS AND CONCLUSIONS: Density incidence of long term clinical depression is 0.5 years and 1.1/1,000 persons/months for men and women respectively. In univariate analyses specific gender predictors were observed as for men predictors besides level of education, were work related: high job-strain OR 1.67 (CI 95% 1.03; 2.71) and work dissatisfaction OR 1.78 (CI 95% 1.09; 2.91) whereas for women baseline predictors are related to private life dissatisfaction OR 1.84 (CI 95% 1.16; 2.91) and to a lesser degree low social support from co-workers OR 1.50 (CI 95% 0.93; 2.40). In both genders baseline severe depression symptoms defined by a CES-D score of percentile 90 or above is a predictor of long term sick-leave for clinical depression. In multivariate analyses, in a model without baseline CES-D high job-strain and job dissatisfaction remain independent predictors for incident clinical depression in men whereas only private life dissatisfaction remains a significant predictor in women. When added to the model CES-D is the most powerful predictor of clinical depression in both genders. Together with level of education, work dissatisfaction remains borderline significant in men whereas private life dissatisfaction remains an independent predictor for clinical depression in women. In men baseline symptoms of depression alleviate the impact of high job-strain on incident clinical depression whereas in women, private life dissatisfaction remains an independent predictor of clinical depression.


Subject(s)
Depressive Disorder/diagnosis , Depressive Disorder/epidemiology , Adult , Belgium/epidemiology , Cohort Studies , Employment , Female , Humans , Male , Middle Aged , Occupational Diseases/diagnosis , Occupational Diseases/epidemiology , Personal Satisfaction , Probability , Prognosis , Prospective Studies , Quality of Life/psychology , Sex Factors , Sick Leave/statistics & numerical data , Survival Analysis
SELECTION OF CITATIONS
SEARCH DETAIL
...