11 results on '"Böttcher, Yvonne"'
Search Results
2. Hypermethylation of the non-imprinted maternal MEG3 and paternal MEST alleles is highly variable among normal individuals
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Haertle, Larissa, primary, Maierhofer, Anna, additional, Böck, Julia, additional, Lehnen, Harald, additional, Böttcher, Yvonne, additional, Blüher, Matthias, additional, Schorsch, Martin, additional, Potabattula, Ramya, additional, El Hajj, Nady, additional, Appenzeller, Silke, additional, and Haaf, Thomas, additional
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- 2017
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3. Eating Behaviour in the General Population: An Analysis of the Factor Structure of the German Version of the Three-Factor-Eating-Questionnaire (TFEQ) and Its Association with the Body Mass Index
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Löffler, Antje, primary, Luck, Tobias, additional, Then, Francisca S., additional, Sikorski, Claudia, additional, Kovacs, Peter, additional, Böttcher, Yvonne, additional, Breitfeld, Jana, additional, Tönjes, Anke, additional, Horstmann, Annette, additional, Löffler, Markus, additional, Engel, Christoph, additional, Thiery, Joachim, additional, Villringer, Arno, additional, Stumvoll, Michael, additional, and Riedel-Heller, Steffi G., additional
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- 2015
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4. Indications for Potential Parent-of-Origin Effects within the FTO Gene
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Liu, Xuanshi, primary, Hinney, Anke, additional, Scholz, Markus, additional, Scherag, André, additional, Tönjes, Anke, additional, Stumvoll, Michael, additional, Stadler, Peter F., additional, Hebebrand, Johannes, additional, and Böttcher, Yvonne, additional
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- 2015
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5. Signatures of Natural Selection at the FTO (Fat Mass and Obesity Associated) Locus in Human Populations
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Liu, Xuanshi, primary, Weidle, Kerstin, additional, Schröck, Kristin, additional, Tönjes, Anke, additional, Schleinitz, Dorit, additional, Breitfeld, Jana, additional, Stumvoll, Michael, additional, Böttcher, Yvonne, additional, Schöneberg, Torsten, additional, and Kovacs, Peter, additional
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- 2015
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6. TAS2R38 and Its Influence on Smoking Behavior and Glucose Homeostasis in the German Sorbs
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Keller, Maria, primary, Liu, Xuanshi, additional, Wohland, Tobias, additional, Rohde, Kerstin, additional, Gast, Marie-Therese, additional, Stumvoll, Michael, additional, Kovacs, Peter, additional, Tönjes, Anke, additional, and Böttcher, Yvonne, additional
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- 2013
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7. Role of Vaspin in Human Eating Behaviour
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Breitfeld, Jana, primary, Tönjes, Anke, additional, Gast, Marie-Therese, additional, Schleinitz, Dorit, additional, Blüher, Matthias, additional, Stumvoll, Michael, additional, Kovacs, Peter, additional, and Böttcher, Yvonne, additional
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- 2013
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8. Genetic and Evolutionary Analyses of the Human Bone Morphogenetic Protein Receptor 2 (BMPR2) in the Pathophysiology of Obesity
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Schleinitz, Dorit, primary, Klöting, Nora, additional, Böttcher, Yvonne, additional, Wolf, Sara, additional, Dietrich, Kerstin, additional, Tönjes, Anke, additional, Breitfeld, Jana, additional, Enigk, Beate, additional, Halbritter, Jan, additional, Körner, Antje, additional, Schön, Michael R., additional, Jenkner, Jost, additional, Tseng, Yu-Hua, additional, Lohmann, Tobias, additional, Dreβler, Miriam, additional, Stumvoll, Michael, additional, Blüher, Matthias, additional, and Kovacs, Peter, additional
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- 2011
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9. TAS2R38 and Its Influence on Smoking Behavior and Glucose Homeostasis in the German Sorbs.
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Keller, Maria, Liu, Xuanshi, Wohland, Tobias, Rohde, Kerstin, Gast, Marie-Therese, Stumvoll, Michael, Kovacs, Peter, Tönjes, Anke, and Böttcher, Yvonne
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HOMEOSTASIS ,TASTE receptors ,BITTERNESS (Taste) ,GENETIC polymorphisms ,PHYSIOLOGICAL effects of tobacco ,HAPLOTYPES ,BODY composition - Abstract
Background: Genetic variants within the bitter taste receptor gene TAS2R38 are associated with sensitivity to bitter taste and are related to eating behavior in the Amish population. Sensitivity to bitter taste is further related to anthropometric traits in an genetically isolated Italian population. We tested whether the TAS2R38 variants (rs713598; rs1726866 and rs10246939) may be related to eating behavior, anthropometric parameters, metabolic traits and consumer goods intake in the German Sorbs. Materials and Methods: The three SNPs were genotyped in a total cohort of 1007 individuals (male/female: 405/602). The German version of the three-factor eating questionnaire was completed by 548 individuals. Genetic association analyses for smoking behavior, alcohol and coffee intake, eating behavior factors (restraint, disinhibition and hunger) and other metabolic traits were analyzed. Further, by combining the three SNPs we applied comparative haplotype analyses categorizing PAV (proline-alanine-valine) carriers (tasters) vs. homozygous AVI (alanin-valine-isoleucine) carriers (non-tasters). Results: Significant associations of genetic variants within TAS2R38 were identified with percentage of body fat, which were driven by associations in women. In men, we observed significant associations with 30 min plasma glucose, and area under the curve for plasma glucose (0–120 min) (all adjusted P≤0.05). Further, we found that carriers of at least one PAV allele show significantly lower cigarette smoking per day (P = 0.002) as well as, albeit non-significant, lower alcohol intake. We did not confirm previously reported associations between genetic variants of TAS2R38 and eating behavior. Conclusion: Our data suggest that genetic variation in TAS2R38 is related to individual body composition measures and may further influence consumer goods intake in the Sorbs possibly via individual sensitivity to bitter taste. [ABSTRACT FROM AUTHOR]
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- 2013
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10. DNA methylation of candidate genes in peripheral blood from patients with type 2 diabetes or the metabolic syndrome
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Julia Schwald, Alexandra M. Binder, Karin B. Michels, Sanne D. van Otterdijk, Katarzyna Szarc vel Szic, and Böttcher, Yvonne
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0301 basic medicine ,Male ,Candidate gene ,endocrine system diseases ,lcsh:Medicine ,Blood Pressure ,Type 2 diabetes ,Biochemistry ,Vascular Medicine ,0302 clinical medicine ,Endocrinology ,Medicine and Health Sciences ,Leukocytes ,80 and over ,2.1 Biological and endogenous factors ,Aetiology ,lcsh:Science ,Aged, 80 and over ,Metabolic Syndrome ,Multidisciplinary ,DNA methylation ,Metabolic Syndrome X ,Diabetes ,Methylation ,Middle Aged ,Lipids ,Chromatin ,Nucleic acids ,Cholesterol ,CpG site ,Epigenetics ,Female ,DNA modification ,Chromatin modification ,Type 2 ,Research Article ,Chromosome biology ,medicine.medical_specialty ,Cell biology ,Endocrine Disorders ,General Science & Technology ,Mononuclear ,030209 endocrinology & metabolism ,and over ,Biology ,Chromosomes ,03 medical and health sciences ,Clinical Research ,Internal medicine ,medicine ,Diabetes Mellitus ,Genetics ,Humans ,Gene Regulation ,Obesity ,Metabolic and endocrine ,Aged ,Nutrition ,Biology and life sciences ,Prevention ,Human Genome ,lcsh:R ,nutritional and metabolic diseases ,DNA ,DNA Methylation ,medicine.disease ,Locus Control Region ,Molecular biology ,030104 developmental biology ,Diabetes Mellitus, Type 2 ,Genetic Loci ,Metabolic Disorders ,Leukocytes, Mononuclear ,lcsh:Q ,Gene expression ,Metabolic syndrome ,Biomarkers ,Epigenetics of diabetes Type 2 - Abstract
Author(s): van Otterdijk, Sanne D; Binder, Alexandra M; Szarc Vel Szic, Katarzyna; Schwald, Julia; Michels, Karin B | Abstract: IntroductionThe prevalence of type 2 diabetes (T2D) and the metabolic syndrome (MetS) is increasing and several studies suggested an involvement of DNA methylation in the development of these metabolic diseases. This study was designed to investigate if differential DNA methylation in blood can function as a biomarker for T2D and/or MetS.MethodsPyrosequencing analyses were performed for the candidate genes KCNJ11, PPARγ, PDK4, KCNQ1, SCD1, PDX1, FTO and PEG3 in peripheral blood leukocytes (PBLs) from 25 patients diagnosed with only T2D, 9 patients diagnosed with T2D and MetS and 11 control subjects without any metabolic disorders.ResultsNo significant differences in gene-specific methylation between patients and controls were observed, although a trend towards significance was observed for PEG3. Differential methylation was observed between the groups in 4 out of the 42 single CpG loci located in the promoters regions of the genes FTO, KCNJ11, PPARγ and PDK4. A trend towards a positive correlation was observed for PEG3 methylation with HDL cholesterol levels.DiscussionAltered levels of DNA methylation in PBLs of specific loci might serve as a biomarker for T2D or MetS, although further investigation is required.
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- 2017
11. A genome-wide association search for type 2 diabetes genes in African Americans.
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Palmer ND, McDonough CW, Hicks PJ, Roh BH, Wing MR, An SS, Hester JM, Cooke JN, Bostrom MA, Rudock ME, Talbert ME, Lewis JP, Ferrara A, Lu L, Ziegler JT, Sale MM, Divers J, Shriner D, Adeyemo A, Rotimi CN, Ng MC, Langefeld CD, Freedman BI, Bowden DW, Voight BF, Scott LJ, Steinthorsdottir V, Morris AP, Dina C, Welch RP, Zeggini E, Huth C, Aulchenko YS, Thorleifsson G, McCulloch LJ, Ferreira T, Grallert H, Amin N, Wu G, Willer CJ, Raychaudhuri S, McCarroll SA, Langenberg C, Hofmann OM, Dupuis J, Qi L, Segrè AV, van Hoek M, Navarro P, Ardlie K, Balkau B, Benediktsson R, Bennett AJ, Blagieva R, Boerwinkle E, Bonnycastle LL, Boström KB, Bravenboer B, Bumpstead S, Burtt NP, Charpentier G, Chines PS, Cornelis M, Couper DJ, Crawford G, Doney AS, Elliott KS, Elliott AL, Erdos MR, Fox CS, Franklin CS, Ganser M, Gieger C, Grarup N, Green T, Griffin S, Groves CJ, Guiducci C, Hadjadj S, Hassanali N, Herder C, Isomaa B, Jackson AU, Johnson PR, Jørgensen T, Kao WH, Klopp N, Kong A, Kraft P, Kuusisto J, Lauritzen T, Li M, Lieverse A, Lindgren CM, Lyssenko V, Marre M, Meitinger T, Midthjell K, Morken MA, Narisu N, Nilsson P, Owen KR, Payne F, Perry JR, Petersen AK, Platou C, Proença C, Prokopenko I, Rathmann W, Rayner NW, Robertson NR, Rocheleau G, Roden M, Sampson MJ, Saxena R, Shields BM, Shrader P, Sigurdsson G, Sparsø T, Strassburger K, Stringham HM, Sun Q, Swift AJ, Thorand B, Tichet J, Tuomi T, van Dam RM, van Haeften TW, van Herpt T, van Vliet-Ostaptchouk JV, Walters GB, Weedon MN, Wijmenga C, Witteman J, Bergman RN, Cauchi S, Collins FS, Gloyn AL, Gyllensten U, Hansen T, Hide WA, Hitman GA, Hofman A, Hunter DJ, Hveem K, Laakso M, Mohlke KL, Morris AD, Palmer CN, Pramstaller PP, Rudan I, Sijbrands E, Stein LD, Tuomilehto J, Uitterlinden A, Walker M, Wareham NJ, Watanabe RM, Abecasis GR, Boehm BO, Campbell H, Daly MJ, Hattersley AT, Hu FB, Meigs JB, Pankow JS, Pedersen O, Wichmann HE, Barroso I, Florez JC, Frayling TM, Groop L, Sladek R, Thorsteinsdottir U, Wilson JF, Illig T, Froguel P, van Duijn CM, Stefansson K, Altshuler D, Boehnke M, McCarthy MI, Soranzo N, Wheeler E, Glazer NL, Bouatia-Naji N, Mägi R, Randall J, Johnson T, Elliott P, Rybin D, Henneman P, Dehghan A, Hottenga JJ, Song K, Goel A, Egan JM, Lajunen T, Doney A, Kanoni S, Cavalcanti-Proença C, Kumari M, Timpson NJ, Zabena C, Ingelsson E, An P, O'Connell J, Luan J, Elliott A, McCarroll SA, Roccasecca RM, Pattou F, Sethupathy P, Ariyurek Y, Barter P, Beilby JP, Ben-Shlomo Y, Bergmann S, Bochud M, Bonnefond A, Borch-Johnsen K, Böttcher Y, Brunner E, Bumpstead SJ, Chen YD, Chines P, Clarke R, Coin LJ, Cooper MN, Crisponi L, Day IN, de Geus EJ, Delplanque J, Fedson AC, Fischer-Rosinsky A, Forouhi NG, Frants R, Franzosi MG, Galan P, Goodarzi MO, Graessler J, Grundy S, Gwilliam R, Hallmans G, Hammond N, Han X, Hartikainen AL, Hayward C, Heath SC, Hercberg S, Hicks AA, Hillman DR, Hingorani AD, Hui J, Hung J, Jula A, Kaakinen M, Kaprio J, Kesaniemi YA, Kivimaki M, Knight B, Koskinen S, Kovacs P, Kyvik KO, Lathrop GM, Lawlor DA, Le Bacquer O, Lecoeur C, Li Y, Mahley R, Mangino M, Manning AK, Martínez-Larrad MT, McAteer JB, McPherson R, Meisinger C, Melzer D, Meyre D, Mitchell BD, Mukherjee S, Naitza S, Neville MJ, Oostra BA, Orrù M, Pakyz R, Paolisso G, Pattaro C, Pearson D, Peden JF, Pedersen NL, Perola M, Pfeiffer AF, Pichler I, Polasek O, Posthuma D, Potter SC, Pouta A, Province MA, Psaty BM, Rayner NW, Rice K, Ripatti S, Rivadeneira F, Rolandsson O, Sandbaek A, Sandhu M, Sanna S, Sayer AA, Scheet P, Seedorf U, Sharp SJ, Shields B, Sijbrands EJ, Silveira A, Simpson L, Singleton A, Smith NL, Sovio U, Swift A, Syddall H, Syvänen AC, Tanaka T, Tönjes A, Uitterlinden AG, van Dijk KW, Varma D, Visvikis-Siest S, Vitart V, Vogelzangs N, Waeber G, Wagner PJ, Walley A, Ward KL, Watkins H, Wild SH, Willemsen G, Witteman JC, Yarnell JW, Zelenika D, Zethelius B, Zhai G, Zhao JH, Zillikens MC, Borecki IB, Loos RJ, Meneton P, Magnusson PK, Nathan DM, Williams GH, Silander K, Salomaa V, Smith GD, Bornstein SR, Schwarz P, Spranger J, Karpe F, Shuldiner AR, Cooper C, Dedoussis GV, Serrano-Ríos M, Lind L, Palmer LJ, Franks PW, Ebrahim S, Marmot M, Kao WH, Pramstaller PP, Wright AF, Stumvoll M, Hamsten A, Buchanan TA, Valle TT, Rotter JI, Siscovick DS, Penninx BW, Boomsma DI, Deloukas P, Spector TD, Ferrucci L, Cao A, Scuteri A, Schlessinger D, Uda M, Ruokonen A, Jarvelin MR, Waterworth DM, Vollenweider P, Peltonen L, Mooser V, and Sladek R
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- Adult, Aged, Case-Control Studies, Cohort Studies, Female, Genetic Predisposition to Disease, Genotype, Humans, Male, Meta-Analysis as Topic, Middle Aged, Polymorphism, Single Nucleotide, Validation Studies as Topic, Black or African American genetics, Diabetes Mellitus, Type 2 ethnology, Diabetes Mellitus, Type 2 genetics, Genome-Wide Association Study
- Abstract
African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide Association Study (GWAS) using the Affymetrix 6.0 array in 965 African-American cases with T2DM and end-stage renal disease (T2DM-ESRD) and 1029 population-based controls. The most significant SNPs (n = 550 independent loci) were genotyped in a replication cohort and 122 SNPs (n = 98 independent loci) were further tested through genotyping three additional validation cohorts followed by meta-analysis in all five cohorts totaling 3,132 cases and 3,317 controls. Twelve SNPs had evidence of association in the GWAS (P<0.0071), were directionally consistent in the Replication cohort and were associated with T2DM in subjects without nephropathy (P<0.05). Meta-analysis in all cases and controls revealed a single SNP reaching genome-wide significance (P<2.5×10(-8)). SNP rs7560163 (P = 7.0×10(-9), OR (95% CI) = 0.75 (0.67-0.84)) is located intergenically between RND3 and RBM43. Four additional loci (rs7542900, rs4659485, rs2722769 and rs7107217) were associated with T2DM (P<0.05) and reached more nominal levels of significance (P<2.5×10(-5)) in the overall analysis and may represent novel loci that contribute to T2DM. We have identified novel T2DM-susceptibility variants in the African-American population. Notably, T2DM risk was associated with the major allele and implies an interesting genetic architecture in this population. These results suggest that multiple loci underlie T2DM susceptibility in the African-American population and that these loci are distinct from those identified in other ethnic populations.
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- 2012
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