12 results on '"Rückert, I. -M."'
Search Results
2. Soziale Ungleichheit beim Stillen in Deutschland: Stand der empirischen Forschung und Handlungsempfehlungen
- Author
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Rückert, I.-M. and Mielck, A.
- Published
- 2008
- Full Text
- View/download PDF
3. Patient time costs attributable to healthcare use in diabetes: results from the population-based KORA survey in Germany
- Author
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Icks, A., Claessen, H., Strassburger, K., Waldeyer, R., Chernyak, N., Jülich, F., Rathmann, W., Thorand, B., Meisinger, C., Huth, C., Rückert, I.-M., Schunk, M., Giani, G., and Holle, R.
- Published
- 2013
- Full Text
- View/download PDF
4. Genes and lifestyle factors in obesity: results from 12 462 subjects from MONICA/KORA
- Author
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Holzapfel, C, Grallert, H, Huth, C, Wahl, S, Fischer, B, Döring, A, Rückert, I M, Hinney, A, Hebebrand, J, Wichmann, H-E, Hauner, H, Illig, T, and Heid, I M
- Published
- 2010
- Full Text
- View/download PDF
5. Erratum: Exon-disrupting deletions of NRXN1 in idiopathic generalized epilepsy (Epilepsia (2013) 54 (256-264) DOI:10.1111/epi.12517)
- Author
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Møller, R. S., Weber, Y. G., Klitten, L. L., Trucks, H., Muhle, H., Kunz, W. S., Mefford, H. C., Franke, A., Kautza, M., Wolf, P., Dennig, D., Schreiber, S., Rückert, I. -M., Wichmann, H. -E., Ernst, J. P., Schurmann, C., Grabe, H. J., Tommerup, N., Stephani, U., Lerche, H., Hjalgrim, H., Helbig, I., Sander, T., Zimprich, F., Mörzinger, M., Feucht, M., Suls, A., Weckhuysen, S., Claes, L., Deprez, L., Smets, K., Van Dyck, T., Deconinck, T., De Jonghe, P., Velizarova, R., Dimova, P., Radionova, M., Tournev, I., Kancheva, D., Kaneva, R., Jordanova, A., Kjelgaard, D. B., Lehesjoki, A. -E., Siren, A., Baulac, S., Leguern, E., Von Spiczak, S., Ostertag, P., Leber, M., Leu, C., Toliat, M. R., Nürnberg, P., Hempelmann, A., Rüschendorf, F., Elger, C. E., Kleefuß-Lie, A. A., Surges, R., Gaus, V., Janz, D., Schmitz, B., Klein, K. M., Reif, P. S., Oertel, W. H., Hamer, H. M., Rosenow, F., Becker, F., Marini, C., Guerrini, R., Mei, D., Norci, V., Zara, F., Striano, P., Robbiano, A., Pezzella, M., Bianchi, A., Gambardella, A., Tinuper, P., La Neve, A., Capovilla, G., Vigliano, P., Crichiutti, G., Vanadia, F., Vignoli, A., Coppola, A., Striano, S., Giallonardo, M. T., Franceschetti, S., Belcastro, V., Benna, P., Coppola, G., De Palo, A., Ferlazzo, E., Vecchi, M., Martinelli, V., Bisulli, F., Beccaria, F., Del Giudice, E., Mancardi, M., Stranci, G., Scabar, A., Gobbi, G., Giordano, I., Koeleman, B. P. C., De Kovel, C., Lindhout, D., De Haan, G. -J., Ozbeck, U., Bebek, N., Baykan, B., Ozdemir, O., Ugur, S., Kocasoy-Orhan, E., Yücesan, E., Cine, N., Gokyigit, A., Gurses, C., Gul, G., Yapici, Z., Ozkara, C., Caglayan, H., Yalcin, O., Yalcin, D., Turkdogan, D., Dizdarer, G., Agan, K., Møller, R. S., Weber, Y. G., Klitten, L. L., Trucks, H., Muhle, H., Kunz, W. S., Mefford, H. C., Franke, A., Kautza, M., Wolf, P., Dennig, D., Schreiber, S., Rückert, I. -M., Wichmann, H. -E., Ernst, J. P., Schurmann, C., Grabe, H. J., Tommerup, N., Stephani, U., Lerche, H., Hjalgrim, H., Helbig, I., Sander, T., Zimprich, F., Mörzinger, M., Feucht, M., Suls, A., Weckhuysen, S., Claes, L., Deprez, L., Smets, K., Van Dyck, T., Deconinck, T., De Jonghe, P., Velizarova, R., Dimova, P., Radionova, M., Tournev, I., Kancheva, D., Kaneva, R., Jordanova, A., Kjelgaard, D. B., Lehesjoki, A. -E., Siren, A., Baulac, S., Leguern, E., Von Spiczak, S., Ostertag, P., Leber, M., Leu, C., Toliat, M. R., Nürnberg, P., Hempelmann, A., Rüschendorf, F., Elger, C. E., Kleefuß-Lie, A. A., Surges, R., Gaus, V., Janz, D., Schmitz, B., Klein, K. M., Reif, P. S., Oertel, W. H., Hamer, H. M., Rosenow, F., Becker, F., Marini, C., Guerrini, R., Mei, D., Norci, V., Zara, F., Striano, P., Robbiano, A., Pezzella, M., Bianchi, A., Gambardella, A., Tinuper, P., La Neve, A., Capovilla, G., Vigliano, P., Crichiutti, G., Vanadia, F., Vignoli, A., Coppola, A., Striano, S., Giallonardo, M. T., Franceschetti, S., Belcastro, V., Benna, P., Coppola, G., De Palo, A., Ferlazzo, E., Vecchi, M., Martinelli, V., Bisulli, F., Beccaria, F., Del Giudice, E., Mancardi, M., Stranci, G., Scabar, A., Gobbi, G., Giordano, I., Koeleman, B. P. C., De Kovel, C., Lindhout, D., De Haan, G. -J., Ozbeck, U., Bebek, N., Baykan, B., Ozdemir, O., Ugur, S., Kocasoy-Orhan, E., Yücesan, E., Cine, N., Gokyigit, A., Gurses, C., Gul, G., Yapici, Z., Ozkara, C., Caglayan, H., Yalcin, O., Yalcin, D., Turkdogan, D., Dizdarer, G., and Agan, K.
- Published
- 2013
6. Treatment pattern of type 2 diabetes differs in two German regions and with patients' socioeconomic position
- Author
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Tamayo, T., Claessen, H., Rückert, I.-M., Maier, W., Schunk, M., Meisinger, C., Mielck, A., Holle, R., Thorand, B., Narres, M., Moebus, S., Mahabadi, A.A., Pundt, N., Krone, B., Slomiany, U., Erbel, R., Jöckel, K.-H., Rathmann, W., and Icks, A.
- Abstract
BACKGROUND: Diabetes treatment may differ by region and patients' socioeconomic position. This may be particularly true for newer drugs. However, data are highly limited. METHODS: We examined pooled individual data of two population-based German studies, KORA F4 (Cooperative Health Research in the Region of Augsburg, south), and the HNR (Heinz Nixdorf Recall study, west) both carried out 2006 to 2008. To ascertain the association between region and educational level with anti-hyperglycemic medication we fitted poisson regression models with robust error variance for any and newer anti-hyperglycemic medication, adjusting for age, sex, diabetes duration, BMI, cardiovascular disease, lifestyle, and insurance status. RESULTS: The examined sample comprised 662 participants with self-reported type 2 diabetes (KORA F4: 83 women, 111 men; HNR: 183 women, 285 men). The probability to receive any anti-hyperglycemic drug as well as to be treated with newer anti-hyperglycemic drugs such as insulin analogues, thiazolidinediones, or glinides was significantly increased in southern compared to western Germany (prevalence ratio (PR); 95% CI: 1.12; 1.02-1.22, 1.52;1.10-2.11 respectively). Individuals with lower educational level tended to receive anti-hyperglycemic drugs more likely than their better educated counterparts (PR; 95% CI univariable: 1.10; 0.99-1.22; fully adjusted: 1.10; 0.98-1.23). In contrast, lower education was associated with a lower estimated probability to receive newer drugs among those with any anti-hyperglycemic drugs (PR low vs. high education: 0.66; 0.48-0.91; fully adjusted: 0.68; 0.47-0.996). CONCLUSIONS: We found regional and individual social disparities in overall and newer anti-hyperglycemic medication which were not explained by other confounders. Further research is needed.
- Published
- 2014
7. Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
- Author
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Sawcer, S., Hellenthal, G., Pirinen, M., Spencer, C.C.A., Patsopoulos, N.A., Moutsianas, L., Dilthey, A., Su, Z., Freeman, C., Hunt, S.E., Edkins, S., Gray, E., Booth, D.R., Potter, S.C., Goris, A., Band, G., Bang Oturai, A., Strange, A., Saarela, J., Bellenguez, C., Fontaine, B., Gillman, M., Hemmer, B., Gwilliam, R., Zipp, F., Jayakumar, A., Martin, R., Leslie, S., Hawkins, S., Giannoulatou, E., D’alfonso, S., Blackburn, H., Martinelli Boneschi, F., Liddle, J., Harbo, H.F., Perez, M.L., Spurkland, A., Waller, M.J., Mycko, M.P., Ricketts, M., Comabella, M., Hammond, N., Kockum, I., McCann, O.T., Ban, M., Whittaker, P., Kemppinen, A., Weston, P., Hawkins, C., Widaa, S., Zajicek, J., Dronov, S., Robertson, N., Bumpstead, S.J., Barcellos, L.F., Ravindrarajah, R., Abraham, R., Alfredsson, L., Ardlie, K., Aubin, C., Baker, A., Baker, K., Baranzini, S.E., Bergamaschi, L., Bergamaschi, R., Bernstein, A., Berthele, A., Boggild, M., Bradfield, J.P., Brassat, D., Broadley, S.A., Buck, D., Butzkueven, H., Capra, R., Carroll, W.M., Cavalla, P., Celius, E.G., Cepok, S., Chiavacci, R., Clerget-Darpoux, F., Clysters, K., Comi, G., Cossburn, M., Cournu-Rebeix, I., Cox, M.B., Cozen, W., Cree, B.A.C., Cross, A.H., Cusi, D., Daly, M.J., Davis, E., de Bakker, P.I.W., Debouverie, M., D’hooghe, M.B., Dixon, K., Dobosi, R., Dubois, B., Ellinghaus, D., Elovaara, I., Esposito, F., Fontenille, C., Foote, S., Franke, A., Galimberti, D., Ghezzi, A., Glessner, J., Gomez, R., Gout, O., Graham, C., Grant, S.F.A., Rosa Guerini, F., Hakonarson, H., Hall, P., Hamsten, A., Hartung, H-P, Heard, R.N., Heath, S., Hobart, J., Hoshi, M., Infante-Duarte, C., Ingram, G., Ingram, W., Islam, T., Jagodic, M., Kabesch, M., Kermode, A.G., Kilpatrick, T.J., Kim, C., Klopp, N., Koivisto, K., Larsson, M., Lathrop, M., Lechner-Scott, J.S., Leone, M.A., Leppä, V., Liljedahl, U., Lima Bomfim, I., Lincoln, R.R., Link, J., Liu, J., Lorentzen, Å.R., Lupoli, S., Macciardi, F., Mack, T., Marriott, M., Martinelli, V., Mason, D., McCauley, J.L., Mentch, F., Mero, I-L, Mihalova, T., Montalban, X., Mottershead, J., Myhr, K-M, Naldi, P., Ollier, W., Page, A., Palotie, A., Pelletier, J., Piccio, L., Pickersgill, T., Piehl, F., Pobywajlo, S., Quach, H.L., Ramsay, P.P., Reunanen, M., Reynolds, R., Rioux, J.D., Rodegher, M., Roesner, S., Rubio, J.P., Rückert, I-M, Salvetti, M., Salvi, E., Santaniello, A., Schaefer, C.A., Schreiber, S., Schulze, C., Scott, R.J., Sellebjerg, F., Selmaj, K.W., Sexton, D., Shen, L., Simms-Acuna, B., Skidmore, S., Sleiman, P.M.A., Smestad, C., Sørensen, P.S., Søndergaard, H.B., Stankovich, J., Strange, R.C., Sulonen, A-M, Sundqvist, E., Syvänen, A-C, Taddeo, F., Taylor, B., Blackwell, J.M., Tienari, P., Bramon, E., Tourbah, A., Brown, M.A., Tronczynska, E., Casas, J.P., Tubridy, N., Corvin, A., Vickery, J., Jankowski, J., Villoslada, P., Markus, H.S., Wang, K., Mathew, C.G., Wason, J., Palmer, C.N.A., Wichmann, H-E, Plomin, R., Willoughby, E., Rautanen, A., Winkelmann, J., Wittig, M., Trembath, R.C., Yaouanq, J., Viswanathan, A.C., Zhang, H., Wood, N.W., Zuvich, R., Deloukas, P., Langford, C., Duncanson, A., Oksenberg, J.R., Pericak-Vance, M.A., Haines, J.L., Olsson, T., Hillert, J., Ivinson, A.J., De Jager, P.L., Peltonen, L., Stewart, G.J., Hafler, D.A., Hauser, S.L., McVean, G., Donnelly, P., Compston, A., Sawcer, S., Hellenthal, G., Pirinen, M., Spencer, C.C.A., Patsopoulos, N.A., Moutsianas, L., Dilthey, A., Su, Z., Freeman, C., Hunt, S.E., Edkins, S., Gray, E., Booth, D.R., Potter, S.C., Goris, A., Band, G., Bang Oturai, A., Strange, A., Saarela, J., Bellenguez, C., Fontaine, B., Gillman, M., Hemmer, B., Gwilliam, R., Zipp, F., Jayakumar, A., Martin, R., Leslie, S., Hawkins, S., Giannoulatou, E., D’alfonso, S., Blackburn, H., Martinelli Boneschi, F., Liddle, J., Harbo, H.F., Perez, M.L., Spurkland, A., Waller, M.J., Mycko, M.P., Ricketts, M., Comabella, M., Hammond, N., Kockum, I., McCann, O.T., Ban, M., Whittaker, P., Kemppinen, A., Weston, P., Hawkins, C., Widaa, S., Zajicek, J., Dronov, S., Robertson, N., Bumpstead, S.J., Barcellos, L.F., Ravindrarajah, R., Abraham, R., Alfredsson, L., Ardlie, K., Aubin, C., Baker, A., Baker, K., Baranzini, S.E., Bergamaschi, L., Bergamaschi, R., Bernstein, A., Berthele, A., Boggild, M., Bradfield, J.P., Brassat, D., Broadley, S.A., Buck, D., Butzkueven, H., Capra, R., Carroll, W.M., Cavalla, P., Celius, E.G., Cepok, S., Chiavacci, R., Clerget-Darpoux, F., Clysters, K., Comi, G., Cossburn, M., Cournu-Rebeix, I., Cox, M.B., Cozen, W., Cree, B.A.C., Cross, A.H., Cusi, D., Daly, M.J., Davis, E., de Bakker, P.I.W., Debouverie, M., D’hooghe, M.B., Dixon, K., Dobosi, R., Dubois, B., Ellinghaus, D., Elovaara, I., Esposito, F., Fontenille, C., Foote, S., Franke, A., Galimberti, D., Ghezzi, A., Glessner, J., Gomez, R., Gout, O., Graham, C., Grant, S.F.A., Rosa Guerini, F., Hakonarson, H., Hall, P., Hamsten, A., Hartung, H-P, Heard, R.N., Heath, S., Hobart, J., Hoshi, M., Infante-Duarte, C., Ingram, G., Ingram, W., Islam, T., Jagodic, M., Kabesch, M., Kermode, A.G., Kilpatrick, T.J., Kim, C., Klopp, N., Koivisto, K., Larsson, M., Lathrop, M., Lechner-Scott, J.S., Leone, M.A., Leppä, V., Liljedahl, U., Lima Bomfim, I., Lincoln, R.R., Link, J., Liu, J., Lorentzen, Å.R., Lupoli, S., Macciardi, F., Mack, T., Marriott, M., Martinelli, V., Mason, D., McCauley, J.L., Mentch, F., Mero, I-L, Mihalova, T., Montalban, X., Mottershead, J., Myhr, K-M, Naldi, P., Ollier, W., Page, A., Palotie, A., Pelletier, J., Piccio, L., Pickersgill, T., Piehl, F., Pobywajlo, S., Quach, H.L., Ramsay, P.P., Reunanen, M., Reynolds, R., Rioux, J.D., Rodegher, M., Roesner, S., Rubio, J.P., Rückert, I-M, Salvetti, M., Salvi, E., Santaniello, A., Schaefer, C.A., Schreiber, S., Schulze, C., Scott, R.J., Sellebjerg, F., Selmaj, K.W., Sexton, D., Shen, L., Simms-Acuna, B., Skidmore, S., Sleiman, P.M.A., Smestad, C., Sørensen, P.S., Søndergaard, H.B., Stankovich, J., Strange, R.C., Sulonen, A-M, Sundqvist, E., Syvänen, A-C, Taddeo, F., Taylor, B., Blackwell, J.M., Tienari, P., Bramon, E., Tourbah, A., Brown, M.A., Tronczynska, E., Casas, J.P., Tubridy, N., Corvin, A., Vickery, J., Jankowski, J., Villoslada, P., Markus, H.S., Wang, K., Mathew, C.G., Wason, J., Palmer, C.N.A., Wichmann, H-E, Plomin, R., Willoughby, E., Rautanen, A., Winkelmann, J., Wittig, M., Trembath, R.C., Yaouanq, J., Viswanathan, A.C., Zhang, H., Wood, N.W., Zuvich, R., Deloukas, P., Langford, C., Duncanson, A., Oksenberg, J.R., Pericak-Vance, M.A., Haines, J.L., Olsson, T., Hillert, J., Ivinson, A.J., De Jager, P.L., Peltonen, L., Stewart, G.J., Hafler, D.A., Hauser, S.L., McVean, G., Donnelly, P., and Compston, A.
- Abstract
Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability1. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals2, 3, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk4. Modestly powered genome-wide association studies (GWAS)5, 6, 7, 8, 9, 10 have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility11. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis.
- Published
- 2011
8. Serum potassium is associated with prediabetes and newly diagnosed diabetes in hypertensive adults from the general population: The KORA F4-Study
- Author
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Meisinger, C., primary, Stöckl, D., additional, Rückert, I. M., additional, Döring, A., additional, Thorand, B., additional, Heier, M., additional, Huth, C., additional, Belcredi, P., additional, Kowall, B., additional, and Rathmann, W., additional
- Published
- 2012
- Full Text
- View/download PDF
9. Soziale Ungleichheit beim Stillen in Deutschland
- Author
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Rückert, I.-M., primary and Mielck, A., additional
- Published
- 2007
- Full Text
- View/download PDF
10. Medication Costs by Glucose Tolerance Stage in Younger and Older Women and Men: Results from the Population-based KORA Survey in Germany.
- Author
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Claessen, H., Strassburger, K., Tepel, M., Waldeyer, R., Chernyak, N., Jülich, F., Albers, B., Bächle, C., Rathmann, W., Meisinger, C., Thorand, B., Hunger, M., Schunk, M., Stark, R., Rückert, I. M., Peters, A., Huth, C., Stöckl, D., Giani, G., and Holle, R.
- Subjects
MEDICAL care costs ,GLUCOSE tolerance tests ,GLUCOSE metabolism ,MEDICATION therapy management - Abstract
Aims: To estimate medication costs in individuals with diagnosed diabetes, undetected diabetes, impaired glucose regulation and normal blood glucose values in a population-based sample by age and sex. Materials and Methods: Using the KORA F4 follow-up survey, conducted in 2006-2008 (n = 2 611, age 40-82 years), we identified individuals' glucose tolerance status by means of an oral glucose tolerance test. We assessed all medications taken regularly, calculated age-sex specific medication costs and estimated cost ratios for total, total without antihyperglycemic drugs, and cardiovascular medication, using multiple 2-part regression models. Results: Compared to individuals with normal glucose values, costs were increased in known diabetes, undetected diabetes and impaired glucose regulation, which was more pronounced in participants aged 40-59 years than in those aged 60-82 years (cost ratios for all medications: 40-59 years: 2.85; 95 %-confidence interval: 1.78-4.54, 2.00; 1.22-3.29 and 1.53; 1.12-2.09; 60-82 years: 2.04; 1.71-2.43, 1.17; 0.90-1.51 and 1.09; 0.94-1.28). Compared to individuals with diagnosed diabetes, costs were signifi cantly lower among individuals with impaired glucose regulation across all age and sex strata, also when antihyperglycemic medication was excluded (40-59 years: 0.60; 0.36-0.98, 60-82 years: 0.74; 0.60-0.90; men: 0.72; 0.56-0.93; women: 0.72; 0.54-0.96). Conclusions: We could quantify age- and sexspecific medication costs and cost ratios in individuals with diagnosed diabetes, undetected diabetes and impaired glucose regulation compared to those with normal glucose values, using data of a population-based sample, with oral glucose tolerance test-based identification of diabetes states. These results may help to validly estimate cost-effectiveness of screening and early treatment or prevention of diabetes. [ABSTRACT FROM AUTHOR]
- Published
- 2013
- Full Text
- View/download PDF
11. Genes and lifestyle factors in obesity: results from 12,462 subjects from MONICA/KORA.
- Author
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Holzapfel C, Grallert H, Huth C, Wahl S, Fischer B, Döring A, Rückert IM, Hinney A, Hebebrand J, Wichmann HE, Hauner H, Illig T, Heid IM, Holzapfel, C, Grallert, H, Huth, C, Wahl, S, Fischer, B, Döring, A, and Rückert, I M
- Abstract
Background: Data from meta-analyses of genome-wide association studies provided evidence for an association of polymorphisms with body mass index (BMI), and gene expression results indicated a role of these variants in the hypothalamus. It was consecutively hypothesized that these associations might be evoked by a modulation of nutritional intake or energy expenditure.Objective: It was our aim to investigate the association of these genetic factors with BMI in a large homogenous population-based sample to explore the association of these polymorphisms with lifestyle factors related to nutritional intake or energy expenditure, and whether such lifestyle factors could be mediators of the detected single-nucleotide polymorphism (SNP)-association with BMI. It was a further aim to compare the proportion of BMI explained by genetic factors with the one explained by lifestyle factors.Design: The association of seven polymorphisms in or near the genes NEGR1, TMEM18, MTCH2, FTO, MC4R, SH2B1 and KCTD15 was analyzed in 12,462 subjects from the population-based MONICA/KORA Augsburg study. Information on lifestyle factors was based on standardized questionnaires. For statistical analysis, regression-based models were used.Results: The minor allele of polymorphism rs6548238 C>T (TMEM18) was associated with lower BMI (-0.418 kg m(-2), P=1.22 × 10(-8)), and of polymorphisms rs9935401 G>A (FTO) and rs7498665 A>G (SH2B1) with increased BMI (0.290 kg m(-2), P=2.85 × 10(-7) and 0.145 kg m(-2), P=9.83 × 10(-3)). The other polymorphisms were not significantly associated. Lifestyle factors were correlated with BMI and explained 0.037% of the BMI variance as compared with 0.006% of explained variance by the associated genetic factors. The genetic variants associated with BMI were not significantly associated with lifestyle factors and there was no evidence of lifestyle factors mediating the SNP-BMI association.Conclusions: Our data first confirm the findings for TMEM18 with BMI in a single study on adults and also confirm the findings for FTO and SH2B1. There was no evidence for a direct SNP-lifestyle association. [ABSTRACT FROM AUTHOR]- Published
- 2010
- Full Text
- View/download PDF
12. Comparing the influence of type 2 diabetes and other factors on health-related quality of life: Results from population-based studies in Germany (DIAB-CORE Consortium) | Die bedeutung des typ-2-diabetes für die gesundheitsbezogene lebensqualität: Ergebnisse aus bevol̈kerungsbasierten Studien in Deutschland (DIAB-CORE Verbund)
- Author
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Michaela Schunk, Reitmeir, P., Schipf, S., Völzke, H., Meisinger, C., Rückert, I. -M, Kluttig, A., Greiser, K. H., Berger, K., Müller, G., Ellert, U., Neuhauser, H., Tamayo, T., Rathmann, W., and Holle, R.
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