Impact of socioeconomic and cardiovascular risk factors on the effect of genetic variants associated with NT-proBNP

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作者
Emanuel Matusch
Mirjam Frank
Kaffer Kara
Amir A. Mahabadi
Nico Dragano
Raimund Erbel
Karl-Heinz Jöckel
Börge Schmidt
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[1] University of Duisburg-Essen,Institute for Medical Informatics, Biometry and Epidemiology
[2] Agaplesion Hospital Hagen,Department of Cardiology
[3] University of Duisburg-Essen,West German Heart and Vascular Center Essen, Department of Cardiology and Vascular Medicine, University Hospital Essen
[4] University Hospital Düsseldorf,Institute of Medical Sociology
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N-terminal prohormone of brain natriuretic peptide (NT-proBNP) is an established biomarker for diagnosis of heart failure. The study aims to explore whether known cardiovascular risk factors, including education and income as indicators of socioeconomic position (SEP), may interact with the genetic effect of NT-proBNP-related single nucleotide polymorphisms (SNP) to influence plasma levels of NT-proBNP in a population-based study sample. Information on effect alleles of three SNPs previously reported to be related to NT-proBNP was combined individually for 4,520 participants of the Heinz Nixdorf Recall Study to calculate a genetic risk allele sum score (GRSNT-proBNP). Linear Regression models were used to examine the association of cardiovascular risk factors and GRSNT-proBNP with log-transformed NT-proBNP levels, as well as cardiovascular risk factor by GRSNT-proBNP interactions. The GRSNT-proBNP was associated with NT-proBNP showing 1.13-fold (95% CI 1.10–1.16) higher plasma levels per additional effect allele. Interaction terms included in the regression models gave some indication for interaction of the GRSNT-proBNP with the SEP indicator income as well as with C-reactive protein. In regression models stratified by income quartiles the strongest genetic effect was observed in the third income quartile showing 1.18-fold (95% CI 1.12–1.25) higher average NT-proBNP levels per additional allele compared to the lowest income quartile with 1.08-fold (95% CI 1.01–1.15) higher NT-proBNP levels. The results of the present study indicate that genetic effects of NT-proBNP increasing alleles are stronger in higher SEP groups. This may be due to a stronger influence of non-genetic cardiovascular risk on NT-proBNP in low SEP groups.
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