gms | German Medical Science

MAINZ//2011: 56. GMDS-Jahrestagung und 6. DGEpi-Jahrestagung

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V.
Deutsche Gesellschaft für Epidemiologie e. V.

26. - 29.09.2011 in Mainz

Assoziation zwischen PNPLA3-Polymorphismus und Häufigkeit der Krankenhausaufenthalte

Meeting Abstract

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  • Julia Köpp - EMAU Universität Greifswald, Institut für Community Medicine, Greifswald

Mainz//2011. 56. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds), 6. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi). Mainz, 26.-29.09.2011. Düsseldorf: German Medical Science GMS Publishing House; 2011. Doc11gmds034

DOI: 10.3205/11gmds034, URN: urn:nbn:de:0183-11gmds0347

Veröffentlicht: 20. September 2011

© 2011 Köpp.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Background & aims: Fatty liver disease (FLD) confers an increased risk of metabolic and cardiovascular disease and higher health services use. An association between FLD and the single nucleotide polymorphism (SNP) in the patatin-like phospholipase domain-containing 3 (PNPLA3) gene (rs738409) has been established. The aim of the present study was to investigate whether rs738409 can be used to identify individuals with increased health services utilization in the general population.

Methods: In total, 3997 individuals from Study of Health in Pomerania (SHIP), a population-based cohort study in Germany, were genotyped for rs738409. Negative binomial and logistic regression models were performed and adjusted for socio-economic factors, lifestyle habits and clinical factors, using rs738409 as the exposure variable.

Results: Minor allele homozygous were characterized by increased odds of hospitalization as compared to major allele homozygous, even after adjustment for clinical variables (odds ratio [OR] 1.56; 95 % confidence interval [CI], 1.04 to 2.34). Heterozygous did not differ from major allele homozygous with respect to their odds of hospitalization (OR 1.04; 95 % CI, 0.85 to 1.27). The three genotype groups of rs738409 were similar regarding the number of annual physician visits and the number of hospitalized days. The incorporation of the rs738409 genotype did not improve the predictive ability as compared to models based on established health care predictors.

Conclusions: The rs738409 was independently associated with the risk of hospitalization in minor allele homozygous. Further studies are warranted to evaluate whether genetic data are useful biomarkers for routine clinical assessment and health care stratification.


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