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Your search keyword '"Klinken, J.B. van"' showing total 5 results
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5 results on '"Klinken, J.B. van"'

1. Genome-wide association study of the postprandial triglyceride response yields common genetic variation in LIPC (hepatic lipase)

Author

Ibi, D., Noordam, R., Klinken, J.B. van, Li-Gao, R.F., Mutsert, R. de, Trompet, S., Christen, T., Blauw, L.L., Heemst, D. van, Mook-Kanamori, D.O., Rosendaal, F.R., Jukema, J.W., Dolle, M.E.T., Rensen, P.C.N., and Dijk, K.W. van

Subjects
hepatic lipase, lipoprotein metabolism, Genome-wide association studies, metabolites, postprandial triglyceride response, cardiovascular diseases
Abstract

Background: The increase in serum triglyceride (TG) concentrations in response to a meal is considered a risk factor for cardiovascular disease. We aimed to elucidate the genetics of the postprandial TG response through genome-wide association studies (GWAS). Methods: Participants of the NEO (Netherlands Epidemiology of Obesity) study (n=5630) consumed a liquid mixed meal after an overnight fast. GWAS of fasting and postprandial serum TG at 150 minutes were performed. To identify genetic variation of postprandial TG independent of fasting TG, we calculated the TG response at 150 minutes by the residuals of a nonlinear regression that predicted TG at 150 minutes as a function of fasting TG. Association analyses were adjusted for age, sex, and principal components in a linear regression model. Next, using the identified variants as determinants, we performed linear regression analyses on the residuals of the postprandial response of 149 nuclear magnetic resonance-based metabolite measures. Results: GWAS of fasting TG and postprandial serum TG at 150 minutes resulted in completely overlapping loci, replicating previous GWAS. From GWAS of the TG response, we identified rs7350789-A (allele frequency=0.36), mapping to hepatic lipase (LIPC), to be associated with a smaller increase in TG concentrations at 150 minutes (beta=-0.11;P-value=5.1x10(-8)). Rs7350789-A was associated with responses of 33 metabolite measures (P-value

Published
2020

3. FluxModeCalculator: an efficient tool for large-scale flux mode computation

Author

Klinken, J.B. van and Dijk, K.W. van

Abstract

Elementary flux mode (EFM) analysis is a powerful technique for determining the metabolic capacities and robustness of stoichiometric networks. Recently, several improvements have been made to the algorithm for enumerating the EFMs, making the study of large models possible. However, currently these tools require high performance workstations to perform large-scale EFM computations, thus limiting their applicability. We developed a more time and memory efficient implementation of the algorithm for EFM enumeration in MATLAB, called FluxModeCalculator, which enables large-scale EFM computation on ordinary desktop computers.

Published
2016

4. Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels

Author

Draisma, H.H.M., Pool, R., Kobl, M., Jansen, R., Petersen, A.K., Vaarhorst, A.A.M., Yet, I., Haller, T., Demirkan, A., Esko, T., Zhu, G., Boehringer, S., Beekman, M., Klinken, J.B. van, Roemisch-Margl, W., Prehn, C., Adamski, J., Craen, A.J.M. de, Leeuwen, E.M. van, Amin, N., Dharuri, H., Westra, H.J., Franke, L., Geus, E.J.C. de, Hottenga, J.J., Willemsen, G., Henders, A.K., Montgomery, G.W., Nyholt, D.R., Whitfield, J.B., Penninx, B.W., Spector, T.D., Metspalu, A., Slagboom, P.E., Dijk, K.W. van, Hoen, P.A.C. 't, Strauch, K., Martin, N.G., Ommen, G.J.B. van, Illig, T., Bell, J.T., Mangino, M., Suhre, K., McCarthy, M.I., Gieger, C., Isaacs, A., Duijn, C.M. van, and Boomsma, D.I.

Published
2015

5. Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels

Author

Draisma, H.H.M., Pool, R., Kobl, M., Jansen, R., Petersen, A.K., Vaarhorst, A.A.M., Yet, I., Haller, T., Demirkan, A., Esko, T., Zhu, G., Boehringer, S., Beekman, M., Klinken, J.B. van, Roemisch-Margl, W., Prehn, C., Adamski, J., Craen, A.J.M. de, Leeuwen, E.M. van, Amin, N., Dharuri, H., Westra, H.J., Franke, L., Geus, E.J.C. de, Hottenga, J.J., Willemsen, G., Henders, A.K., Montgomery, G.W., Nyholt, D.R., Whitfield, J.B., Penninx, B.W., Spector, T.D., Metspalu, A., Slagboom, P.E., Dijk, K.W. van, Hoen, P.A.C. 't, Strauch, K., Martin, N.G., Ommen, G.J.B. van, Illig, T., Bell, J.T., Mangino, M., Suhre, K., McCarthy, M.I., Gieger, C., Isaacs, A., Duijn, C.M. van, and Boomsma, D.I.

Published
2015

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