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35 results on '"Nielsen, A.A."'

6. Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes

Author

Albrechtsen, Anders, Grarup, Niels, Li, Y., Sparsø, Thomas Hempel, Tian, G., Cao, H., Jiang, T., Kim, S.Y., Korneliussen, Thorfinn Sand, Li, Q., Nie, C., Wu, R., Skotte, Line, Morris, A.P., Ladenvall, C., Cauchi, S., Stancáková, A., Andersen, G., Astrup, Arne, Banasik, Karina, Bennett, A.J., Bolund, Lars, Charpentier, G., Chen, Y., Dekker, J.M., Doney, A.S.F., Dorkhan, M., Forsen, T., Frayling, T.M., Groves, C.J., Gui, Y., Hallmans, G., Hattersley, A.T., He, K., Hitman, G.A., Holmkvist, J., Huang, S., Jiang, H., Jin, X., Justesen, Johanne Marie, Kristiansen, Karsten, Kuusisto, J., Lajer, M., Lantieri, O., Li, W., Liang, H., Liao, Q., Liu, X., Ma, T., Ma, X., Manijak, M.P., Marre, M., Mokrosinski, Jacek, Morris, A.D., Mu, B., Nielsen, A.A., Nijpels, G., Nilsson, P., Palmer, C.N.A., Rayner, N.W., Renström, F., Ribel-Madsen, Rasmus, Robertson, N., Rolandsson, O., Rossing, P., Schwartz, Thue W., Slagboom, P.E., Sterner, M., Tang, M., Tarnow, L., Tuomi, T., Van't Riet, E., van Leeuwen, N., Varga, T.V., Vestmar, Marie Aare, Walker, M., Wang, B., Wang, Y., Wu, H., Xi, F., Yengo, L., Yu, C., Zhang, X., Zhang, J., Zhang, Q., Zhang, W., Zheng, H., Zhou, Y., Altshuler, D., 't Hart, L.M., Franks, P.W., Balkau, B., Froguel, P., McCarthy, M.I., Laakso, M., Groop, L., Christensen, C., Brandslund, I., Lauritzen, T., Witte, D.R., Linneberg, A., Jørgensen, Torben, Hansen, Torben, Wang, Jun, Nielsen, Rasmus, Pedersen, Oluf, Albrechtsen, Anders, Grarup, Niels, Li, Y., Sparsø, Thomas Hempel, Tian, G., Cao, H., Jiang, T., Kim, S.Y., Korneliussen, Thorfinn Sand, Li, Q., Nie, C., Wu, R., Skotte, Line, Morris, A.P., Ladenvall, C., Cauchi, S., Stancáková, A., Andersen, G., Astrup, Arne, Banasik, Karina, Bennett, A.J., Bolund, Lars, Charpentier, G., Chen, Y., Dekker, J.M., Doney, A.S.F., Dorkhan, M., Forsen, T., Frayling, T.M., Groves, C.J., Gui, Y., Hallmans, G., Hattersley, A.T., He, K., Hitman, G.A., Holmkvist, J., Huang, S., Jiang, H., Jin, X., Justesen, Johanne Marie, Kristiansen, Karsten, Kuusisto, J., Lajer, M., Lantieri, O., Li, W., Liang, H., Liao, Q., Liu, X., Ma, T., Ma, X., Manijak, M.P., Marre, M., Mokrosinski, Jacek, Morris, A.D., Mu, B., Nielsen, A.A., Nijpels, G., Nilsson, P., Palmer, C.N.A., Rayner, N.W., Renström, F., Ribel-Madsen, Rasmus, Robertson, N., Rolandsson, O., Rossing, P., Schwartz, Thue W., Slagboom, P.E., Sterner, M., Tang, M., Tarnow, L., Tuomi, T., Van't Riet, E., van Leeuwen, N., Varga, T.V., Vestmar, Marie Aare, Walker, M., Wang, B., Wang, Y., Wu, H., Xi, F., Yengo, L., Yu, C., Zhang, X., Zhang, J., Zhang, Q., Zhang, W., Zheng, H., Zhou, Y., Altshuler, D., 't Hart, L.M., Franks, P.W., Balkau, B., Froguel, P., McCarthy, M.I., Laakso, M., Groop, L., Christensen, C., Brandslund, I., Lauritzen, T., Witte, D.R., Linneberg, A., Jørgensen, Torben, Hansen, Torben, Wang, Jun, Nielsen, Rasmus, and Pedersen, Oluf

Abstract

AIMS/HYPOTHESIS: Human complex metabolic traits are in part regulated by genetic determinants. Here we applied exome sequencing to identify novel associations of coding polymorphisms at minor allele frequencies (MAFs) >1% with common metabolic phenotypes. METHODS: The study comprised three stages. We performed medium-depth (8×) whole exome sequencing in 1,000 cases with type 2 diabetes, BMI >27.5 kg/m(2) and hypertension and in 1,000 controls (stage 1). We selected 16,192 polymorphisms nominally associated (p¿1%. In stage 2 we identified 51 potential associations with one or more of eight metabolic phenotypes covered by 45 unique polymorphisms. In meta-analyses of stage 2 and stage 3 results, we demonstrated robust associations for coding polymorphisms in CD300LG (fasting HDL-cholesterol: MAF 3.5%, p¿=¿8.5¿×¿10(-14)), COBLL1 (type 2 diabetes: MAF 12.5%, OR 0.88, p¿=¿1.2¿×¿10(-11)) and MACF1 (type 2 diabetes: MAF 23.4%, OR 1.10, p¿=¿8.2¿×¿10(-10)). CONCLUSIONS/INTERPRETATION: We applied exome sequencing as a basis for finding genetic determinants of metabolic traits and show the existence of low-frequency and common coding polymorphisms with impact on common metabolic traits. Based on our study, coding polymorphisms with MAF above 1% do not seem to have particularly high effect sizes on the measured metabolic traits.

Published
2013

7. Antimicrobial drug use and resistance in Europe

Author

van de Sande-Bruinsma, Nienke, Grundmann, Hajo, Verloo, Didier, Tiemersma, Edine, Monen, Jos, Goossens, Herman, Ferech, Matus, Mittermayer, H., Metz, S., Koller, W., Hendrickx, E., Goossens, H., Markova, B., Tambic-Andrasevic, A., Francetic, I., Kalenic, S., Bagatzouni, D., Dvorak, P., Urbaskova, P., Monnet, D., Nielsen, A.A., Naaber, P., Houvinen, P., Paakkari, P., Lyytikainen, O., Nissinen, A., Maugendre, P., Guillemot, D., Coignard, B., Jarlier, V., Kern, W., Schroeder, H., Witte, W., Heckenbach, K., Giamarellou, H., Antoniadou, A., Tsakris, A., Vatopoulos, A., Ternak, G., Fuzi, M., Kristinsson, K., Smyth, E., Cunney, R., Igoe, D., Murphy, O., Raz, R., Cornaglia, G., Pantosti, A., D´Ancona, P., Berzina, S., Balode, A., Valenteliene, R., Miciulevicience, J., Hemmer, R., Bruch, M., Borg, M., Zarb, P., Janknegt, R., Filius, M., de Neeling, H., Tiemermsa, E., Degener, J., Blix, H.S., Hoiby, A., Simonsen, G., Hryniewicz, W., Grzesiowski, P., Caldeira, L., Canica, M., Codita, I., Foltan, V., Tesar, T., Langsadl, L., Cizman, M., Mueller-Premru, M., Kolman, J., Campos, J., Baguero, F., Cars, Otto, Skoog, G., Liljequist, B., Kahlmeter, G., Unal, S., Gür, D., Davey, P., Johnson, A., Hughes, H., Coyne, M., van de Sande-Bruinsma, Nienke, Grundmann, Hajo, Verloo, Didier, Tiemersma, Edine, Monen, Jos, Goossens, Herman, Ferech, Matus, Mittermayer, H., Metz, S., Koller, W., Hendrickx, E., Goossens, H., Markova, B., Tambic-Andrasevic, A., Francetic, I., Kalenic, S., Bagatzouni, D., Dvorak, P., Urbaskova, P., Monnet, D., Nielsen, A.A., Naaber, P., Houvinen, P., Paakkari, P., Lyytikainen, O., Nissinen, A., Maugendre, P., Guillemot, D., Coignard, B., Jarlier, V., Kern, W., Schroeder, H., Witte, W., Heckenbach, K., Giamarellou, H., Antoniadou, A., Tsakris, A., Vatopoulos, A., Ternak, G., Fuzi, M., Kristinsson, K., Smyth, E., Cunney, R., Igoe, D., Murphy, O., Raz, R., Cornaglia, G., Pantosti, A., D´Ancona, P., Berzina, S., Balode, A., Valenteliene, R., Miciulevicience, J., Hemmer, R., Bruch, M., Borg, M., Zarb, P., Janknegt, R., Filius, M., de Neeling, H., Tiemermsa, E., Degener, J., Blix, H.S., Hoiby, A., Simonsen, G., Hryniewicz, W., Grzesiowski, P., Caldeira, L., Canica, M., Codita, I., Foltan, V., Tesar, T., Langsadl, L., Cizman, M., Mueller-Premru, M., Kolman, J., Campos, J., Baguero, F., Cars, Otto, Skoog, G., Liljequist, B., Kahlmeter, G., Unal, S., Gür, D., Davey, P., Johnson, A., Hughes, H., and Coyne, M.

Abstract

Our study confronts the use of antimicrobial agents in ambulatory care with the resistance trends of 2 major pathogens, Streptococcus pneumoniae and Escherichia coli, in 21 European countries in 2000-2005 and explores whether the notion that antimicrobial drug use determines resistance can be supported by surveillance data at national aggregation levels. The data obtained from the European Surveillance of Antimicrobial Consumption and the European Antimicrobial Resistance Surveillance System suggest that variation of consumption coincides with the occurrence of resistance at the country level. Linear regression analysis showed that the association between antimicrobial drug use and resistance was specific and robust for 2 of 3 compound pathogen combinations, stable over time, but not sensitive enough to explain all of the observed variations. Ecologic studies based on routine surveillance data indicate a relation between use and resistance and support interventions designed to reduce antimicrobial drug consumption at a national level in Europe.

Published
2008
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20. Crop variability using multispectral data

Author

Broge, N.H., Hvidberg, M., Hansen, Birger, Andersen, H.S., Nielsen, A.A., Broge, N.H., Hvidberg, M., Hansen, Birger, Andersen, H.S., and Nielsen, A.A.

Published
1996

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