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Sven Knüppel

Disclaimer
The content of this website is my opinion and not necessarily that of my employer.

Education

Research interests

Teaching

2014-2019    Biostatistics I, Berlin School of Public Health (BSPH)
2009-2019    Introduction to Mathematics, Berlin School of Public Health (BSPH)
2008-2018    Introduction to Statistical Software SAS, Berlin School of Public Health (BSPH)
2013-2016    Statistical analysis with SAS, Berlin School of Public Health (BSPH)
2012-2016    Technical Mathematics, Galvaniseurinnung Berlin-Brandenburg-Dresden
2012-2013    Introduction to Biostatistics, Beuth University of Applied Sciences Berlin
2011-2013    Journal Club, Berlin School of Public Health (BSPH)

List of Publications

February 4th, 2022
  1. Assmus F, Galbete C, Knueppel S, Schulze MB, Beune E, Meeks K, Nicolaou M, Amoah S, Agyemang C, Klipstein-Grobusch K, Bahendeka S, Spranger J, Mockenhaupt FP, Smeeth L, Stronks K, Danquah I. Carbohydrate-dense snacks are a key feature of the nutrition transition among Ghanaian adults - findings from the RODAM study. Food Nutr Res. 2021 May 6;65.
  2. Garino C, Mielke H, Knüppel S, Selhorst T, Broll H, Braeuning A. Quantitative allergenicity risk assessment of food products containing yellow mealworm (Tenebrio molitor). Food Chem Toxicol. 2020 Aug;142:111460.
  3. Mitry P, Wawro N, Six-Merker J, Zoller D, Jourdan C, Meisinger C, Thierry S, Nöthlings U, Knüppel S, Boeing H, Linseisen J. Usual Dietary Intake Estimation Based on a Combination of Repeated 24-H Food Lists and a Food Frequency Questionnaire in the KORA FF4 Cross-Sectional Study. Front Nutr. 2019 Sep 6;6:145.
  4. Schwedhelm C, Schwingshackl L, Agogo GO, Sonestedt E, Boeing H, Knüppel S: Associations of food groups and cardiometabolic and inflammatory biomarkers – does the meal matter? BJN. 2019. accepted.
  5. Knüppel S, Norman K, Boeing H: Is a Single 24-hour Dietary Recall per Person Sufficient to Estimate the Population Distribution of Usual Dietary Intake? J Nutr. 2019 Jun 7. [Epub ahead of print]
  6. Schwingshackl L, Knüppel S, Michels N, Schwedhelm C, Hoffmann G, Iqbal K, De Henauw S, Boeing H, Devleesschauwer B: Intake of 12 food groups and disability-adjusted life years from coronary heart disease, stroke, type 2 diabetes, and colorectal cancer in 16 European countries. Eur J Epidemiol. 2019 Apr 27. [Epub ahead of print]
  7. Andriolo V, Dietrich S, Knüppel S, Bernigau W, Boeing H. Traditional risk factors for essential hypertension: analysis of their specific combinations in the EPIC-Potsdam cohort. Sci Rep. 2019 Feb 6;9(1):1501.
  8. Knüppel S, Clemens M, Conrad J, Gastell S, Michels KB, Leitzmann M, Krist L, Pischon T, Krause G, Ahrens W, Ebert N, Jöckel KH, Kluttig A, Obi N, Kaaks R, Lieb W, Schipf S, Brenner H, Heuer T, Harttig U, Linseisen J, Nöthlings U, Boeing H. Design and characterization of dietary assessment in the German National Cohort. Eur J Clin Nutr. 2019 Jan 15. [Epub ahead of print]
  9. Schwingshackl L, Ruzanska U, Anton V, Wallroth R, Ohla K, Knüppel S, Schulze MB, Pischon T, Deutschbein J, Schenk L, Warschburger P, Harttig U, Boeing H, Bergmann MM. The NutriAct Family Study: a web-based prospective study on the epidemiological, psychological and sociological basis of food choice. BMC Public Health. 2018 Aug 3;18(1):963.
  10. Schwedhelm C, Knüppel S, Schwingshackl L, Boeing H, Iqbal K. Meal and habitual dietary networks identified through Semiparametric Gaussian Copula Graphical Models in a German adult population. PLoS One. 2018 Aug 24;13(8):e0202936.
  11. Schwingshackl L, Bogensberger B, Bencic A, Knueppel S, Boeing H, Hoffmann G. Effects of oils and solid fats on blood lipids: a systematic review and network meta-analysis. J Lipid Res. 2018; 59:1771-1782.
  12. Iqbal K, Schwingshackl L, Floegel A, Schwedhelm C, Stelmach-Mardas M, Wittenbecher C, Galbete C, Knüppel S, Schulze MB, Boeing H. Gaussian graphical models identified food intake networks and risk of type 2 diabetes, CVD, and cancer in the EPIC-Potsdam study. Eur J Nutr. 2018 May 14. doi: 10.1007/s00394-018-1714-1. [Epub ahead of print] PubMed PMID: 29761319.
  13. Schwingshackl L, Schlesinger S, Devleesschauwer B, Hoffmann G, Bechthold A, Schwedhelm C, Iqbal K, Knüppel S, Boeing H. Generating the evidence for risk reduction: a contribution to the future of food-based dietary guidelines. Proc Nutr Soc. 2018 Apr 30:1-13.
  14. Schwedhelm C, Iqbal K, Knüppel S, Schwingshackl L, Boeing H. Contribution to the understanding of how principal component analysis–derived dietary patterns emerge from habitual data on food consumption. Am J Clin Nutr. 2018 Feb 1; 107(2):227–235.
  15. Poddubnyy D, Listing J, Haibel H, Knüppel S, Rudwaleit M, Sieper J. Functional relevance of radiographic spinal progression in axial spondyloarthritis: results from the GErman SPondyloarthritis Inception Cohort. Rheumatology (Oxford). 2018 Apr 1;57(4):703-711.
  16. Schwingshackl L, Schwedhelm C, Hoffmann G, Knüppel S, Laure Preterre A, Iqbal K, Bechthold A, De Henauw S, Michels N, Devleesschauwer B, Boeing H, Schlesinger S. Food groups and risk of colorectal cancer. Int J Cancer. 2018 May 1;142(9):1748-1758.
  17. Schwingshackl L, Schwedhelm C, Hoffmann G, Knüppel S, Iqbal K, Andriolo V, Bechthold A, Schlesinger S, Boeing H. Food Groups and Risk of Hypertension: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies. Adv Nutr. 2017 Nov 15;8(6):793-803.
  18. Bechthold A, Boeing H, Schwedhelm C, Hoffmann G, Knüppel S, Iqbal K, De Henauw S, Michels N, Devleesschauwer B, Schlesinger S, Schwingshackl L. Food groups and risk of coronary heart disease, stroke and heart failure: A systematic review and dose-response meta-analysis of prospective studies. Crit Rev Food Sci Nutr. 2017 Oct 17:1-20.
  19. Wawro N, Kleiser C, Himmerich S, Gedrich K, Boeing H, Knueppel S, Linseisen J. Estimating Usual Intake in the 2nd Bavarian Food Consumption Survey: Comparison of the Results Derived by the National Cancer Institute Method and a Basic Individual Means Approach. Ann Nutr Metab. 2017;71(3-4):164-174.
  20. Schwingshackl L, Knüppel S, Schwedhelm C, Hoffmann G, Missbach B, Stelmach-Mardas M, Dietrich S, Eichelmann F, Kontopantelis E, Iqbal K, Aleksandrova K, Lorkowski S, Leitzmann MF, Kroke A, Boeing H. Reply to JJ Meerpohl et al. Adv Nutr. 2017;8(5):790-791.
  21. Iqbal K, Schwingshackl L, Gottschald M, Knüppel S, Stelmach-Mardas M, Aleksandrova K, Boeing H. Breakfast quality and cardiometabolic risk profiles in an upper middle-aged german population. Eur J Clin Nutr. 2017 Jul 26.
  22. Schwingshackl L, Schwedhelm C, Hoffmann G, Lampousi AM, Knüppel S, Iqbal K, Bechthold A, Schlesinger S, Boeing H. Food groups and risk of all-cause mortality: a systematic review and meta-analysis of prospective studies. Am J Clin Nutr. 2017;105(6):1462-1473.
  23. Schwingshackl L, Hoffmann G, Lampousi AM, Knüppel S, Iqbal K, Schwedhelm C,bBechthold A, Schlesinger S, Boeing H. Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies. Eur J Epidemiol. 2017;32(5):363-375.
  24. Schwingshackl L, Knüppel S, Schwedhelm C, Hoffmann G, Missbach B, Stelmach-Mardas M, Dietrich S, Eichelmann F, Kontopanteils E, Iqbal K, Aleksandrova K, Lorkowski S, Leitzmann MF, Kroke A, Boeing H. NutriGrade: a scoring system to assess and judge the meta-evidence of randomized controlled trials and cohort studies in nutrition research. Adv Nutr. 2016;7: 994-1004.
  25. Gottschald M, Knüppel S, Boeing H, Buijsse B. The influence of adjustment for energy misreporting on relations of cake and cookie intake with cardiometabolic disease risk factors. Eur J Clin Nutr. 2016;70(11):1318-1324.
  26. Agogo GO, van der Voet H, van 't Veer P, Ferrari P, Muller DC, Sánchez-Cantalejo E, Bamia C, Braaten T, Knüppel S, Johansson I, van Eeuwijk FA, Boshuizen HC. A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation data. BMC Med Res Methodol. 2016;16(1):139.
  27. Dietrich S, Floegel A, Troll M, Kühn T, Rathmann W, Peters A, Sookthai D, von Bergen M, Kaaks R, Adamski J, Prehn C, Boeing H, Schulze MB, Illig T, Pischon T, Knüppel S, Wang-Sattler R, Drogan D. Random Survival Forest in practice: a method for modelling complex metabolomics data in time to event analysis. Int J Epidemiol. Int J Epidemiol. 2016;45(5):1406-1420.
  28. Freese J, Pricop-Jeckstadt M, Heuer T, Clemens M, Boeing H, Knüppel S, Nöthlings U. Determinants of consumption-day amounts applicable for the estimation of usual dietary intake with a short 24-h food list. J Nutr Sci. 2016 Aug 15;5:e35.
  29. Kopp MA, Liebscher T, Watzlawick R, Martus P, Laufer S, Blex C, Schindler R, Jungehulsing GJ, Knüppel S, Kreutzträger M, Ekkernkamp A, Dirnagl U, Strittmatter SM, Niedeggen A, Schwab JM. SCISSOR-Spinal Cord Injury Study on Small molecule-derived Rho inhibition: a clinical study protocol. BMJ Open. 2016;6(7):e010651.
  30. Schwingshackl L, Hoffmann G, Schwedhelm C, Kalle-Uhlmann T, Missbach B, Knüppel S, Boeing H. Consumption of Dairy Products in Relation to Changes in Anthropometric Variables in Adult Populations: A Systematic Review and Meta-Analysis of Cohort Studies. PLoS One. 2016;11(6): e0157461.
  31. Kalle-Uhlmann T, Buijsse B, Bergmann M, Knüppel S, Kühn T, Katzke V, Rudolf K, Boeing H. Circadian Patterns of Beverage Consumption within the EPIC-Germany Cohorts. Ernährungs- Umschau, 2016;63(4), M200-M207.
  32. Assi N, Moskal A, Slimani N, Viallon V, Chajes V, Freisling H, Monni S, Knueppel S, Förster J, Weiderpass E, Lujan-Barroso L, Amiano P, Ardanaz E, Molina-Montes E, Salmerón D, Quirós JR, Olsen A, Tjønneland A, Dahm CC, Overvad K, Dossus L, Fournier A, Baglietto L, Fortner RT, Kaaks R, Trichopoulou A, Bamia C, Orfanos P, De Magistris MS, Masala G, Agnoli C, Ricceri F, Tumino R, Bueno de Mesquita HB, Bakker MF, Peeters PH, Skeie G, Braaten T, Winkvist A, Johansson I, Khaw KT, Wareham NJ, Key T, Travis R, Schmidt JA, Merritt MA, Riboli E, Romieu I, Ferrari P. A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr. 2016;19(2):242-54.
  33. Assi N, Fages A, Vineis P, Chadeau-Hyam M, Stepien M, Duarte-Salles T, Byrnes G, Boumaza H, Knüppel S, Kühn T, Palli D, Bamia C, Boshuizen H, Bonet C, Overvad K, Johansson M, Travis R, Gunter MJ, Lund E, Dossus L, Elena-Herrmann B, Riboli E, Jenab M, Viallon V, Ferrari P. A statistical framework to model the meeting-in-the-middle principle using metabolomic data: application to hepatocellular carcinoma in the EPIC study. Mutagenesis. 2015;30(6):743-53.
  34. Knüppel S, Meidtner K, Arregui M, Holzhütter HG, Boeing H. Joint Effect of Unlinked Genotypes: Application to Type 2 Diabetes in the EPIC-Potsdam Case-Cohort Study. Ann Hum Genet. 2015;79(4):253-63.
  35. Naska A, Katsoulis M, Orfanos P, Lachat C, Gedrich K, Rodrigues SS, Freisling H, Kolsteren P, Engeset D, Lopes C, Elmadfa I, Wendt A, Knüppel S, Turrini A, Tumino R, Ocké MC, Sekula W, Nilsson LM, Key T, Trichopoulou A. Eating out is different from eating at home among individuals who occasionally eat out. A cross-sectional study among middle-aged adults from eleven European countries. Br J Nutr. 2015;113(12):1951-64.
  36. Agogo GO, der Voet Hv, Veer PV, Ferrari P, Leenders M, Muller DC, Sánchez-Cantalejo E, Bamia C, Braaten T, Knüppel S, Johansson I, van Eeuwijk FA, Boshuizen H. Use of Two-Part Regression Calibration Model to Correct for Measurement Error in Episodically Consumed Foods in a Single-Replicate Study Design: EPIC Case Study. PLoS One. 2014;9(11):e113160.
  37. Aleksandrova K, Pischon T, Jenab M, Bueno-de-Mesquita H, Fedirko V, Norat T, Romaguera D, Knüppel S, Boutron-Ruault MC, Dossus L, Dartois L, Kaaks R, Li K, Tjønneland A, Overvad K, Quirós J, Buckland G, Sánchez M, Dorronsoro M, Chirlaque MD, Barricarte A, Khaw KT, Wareham NJ, Bradbury KE, Trichopoulou A, Lagiou P, Trichopoulos D, Palli D, Krogh V, Tumino R. Combined impact of healthy lifestyle factors on colorectal cancer: a large European cohort study. BMC Med. 2014;12:168.
  38. Wientzek A, Floegel A, Knüppel S, Vigl M, Drogan D, Adamski J, Pischon T, Boeing H. Serum metabolites related to cardiorespiratory fitness, physical activity energy expenditure, sedentary time and vigorous activity. Int J Sport Nutr Exerc Metab. 2014;24(2):215-26.
  39. Orfanos P, Knüppel S, Naska A, Haubrock J, Trichopoulou A, Boeing H. Evaluating the effect of measurement error when using one or two 24 h dietary recalls to assess eating out: a study in the context of the HECTOR project. Br J Nutr. 2013;110(6):1107-17.
  40. Ferrari P, Freisling H, Duell EJ, Kaaks R, Lujan-Barroso L, Clavel-Chapelon F, Boutron-Ruault MC, Nailler L, Polidoro S, Mattiello A, Palli D, Tumino R, Grioni S, Knüppel S, Tjønneland A, Olsen A, Overvad K, Orfanos P, Katsoulis M, Trichopoulou A, Quirós JR, Ardanaz E, Huerta JM, Etxezarreta PA, Sánchez MJ, Crowe F, Khaw KT, Wareham NJ, Ocke M, Bueno-de-Mesquita B, Peeters PH, Ericson U, Wirfält E, Hallmans G, Johansson I, Engeset D, Nicolas G, Gallo V, Norat T, Riboli E, Slimani N. Challenges in estimating the validity of dietary acrylamide measurements. Eur J Nutr. 2013;52(5):1503-12.
  41. Steffen A, Sørensen TI, Knüppel S, Travier N, Sánchez MJ, Huerta JM, Quirós JR, Ardanaz E, Dorronsoro M, Teucher B, Li K, Bueno-de-Mesquita HB, van der A D, Mattiello A, Palli D, Tumino R, Krogh V, Vineis P, Trichopoulou A, Orfanos P, Trichopoulos D, Hedblad B, Wallström P, Overvad K, Halkjær J, Tjønneland A, Fagherazzi G, Dartois L, Crowe F, Khaw KT, Wareham N, Middleton L, May AM, Peeters PH, Boeing H. Development and validation of a risk score predicting substantial weight gain over 5 years in middle-aged European men and women. PLoS One. 2013;8(7):e67429.
  42. Knüppel S, Rohde K, Meidtner K, Drogan D, Holzhütter HG, Boeing H, Fisher E. Evaluation of 41 candidate gene variants for obesity in the EPIC-Potsdam cohort by multi-locus stepwise regression. PLoS One. 2013;8(7):e68941.
  43. di Giuseppe R, Pechlivanis S, Fisher E, Arregui M, Weikert B, Knüppel S, Buijsse B, Fritsche A, Willich SN, Joost HG, Boeing H, Moebus S, Weikert C. Microsomal triglyceride transfer protein -164 T>C gene polymorphism and risk of cardiovascular disease: results from the EPIC-Potsdam case-cohort study. BMC Med Genet 2013;14:19.
  44. Goedhart PW, van der Voet H, Knüppel S, Dekkers ALM, Dodd KW, Boeing H, van Klaveren J. A comparison by simulation of different methods to estimate the usual intake distribution for episodically consumed foods. EFSA External Scientific Report (Question No.: EFSA-Q-2012-00626). 2012.
  45. Arregui M, Fisher E, Knüppel S, Buijsse B, di Giuseppe R, Fritsche A, Corella D, Willich SN, Boeing H, Weikert C. Significant associations of the rs2943634 (2q36.3) genetic polymorphism with adiponectin, high density lipoprotein cholesterol and ischemic stroke. Gene. 2012;494(2):190-5.
  46. Knüppel S, Esparza-Gordillo J, Marenholz I, Holzhütter HG, Bauerfeind A, Ruether A, Weidinger S, Lee Y-A, Rohde K. Multi-locus stepwise regression: a haplotype-based algorithm for finding genetic associations applied to atopic dermatitis. BMC Med Genet 2012;13(1):8.
  47. Arregui M, Buijsse B, Stefan N, Corella D, Fisher E, di Giuseppe R, Coltell O, Knüppel S, Aleksandrova K, Joost HG, Boeing H, Weikert C. Heterogeneity of the Stearoyl-CoA desaturase-1 (SCD1) gene and metabolic risk factors in the EPIC-potsdam study. PLoS One 2012;7(11):e48338.
  48. Drogan D, Sheldrick AJ, Schütze M, Knüppel S, Andersohn F, di Giuseppe R, Herrmann B, Willich SN, Garbe E, Bergmann MM, Boeing H, Weikert C. Alcohol Consumption, Genetic Variants in Alcohol Deydrogenases, and Risk of Cardiovascular Diseases: A Prospective Study and Meta-Analysis. PLoS One 2012;7(2): e32176.
  49. Stang A, Schipf S, Knüppel S. Directed Acyclic Graphs - Reply to Methodological Concerns. Gesundheitswesen 2011;73(12):925-6.
  50. Knüppel S. Basics of Using the DAG Programs. Gesundheitswesen 2011;73(12):893-6.
  51. Schipf S, Knüppel S, Hardt J, Stang A. Directed Acyclic Graphs (DAGs) - The Application of Causal Diagrams in Epidemiology. Gesundheitswesen 2011;73(12):888-92.
  52. Textor J, Hardt J, Knüppel S. DAGitty: a graphical tool for analyzing causal diagrams. Epidemiology 2011;22(5):745.
  53. Harttig U, Haubrock J, Knüppel S, Boeing H. EFCOVAL Consortium. The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method. Eur J Clin Nutr 2011;65 Suppl 1:S87-91.
  54. Haubrock J, Nöthlings U, Volatier JL, Dekkers A, Ocké M, Harttig U, Illner AK, Knüppel S, Andersen LF, Boeing H. European Food Consumption Validation Consortium. Estimating usual food intake distributions by using the multiple source method in the EPIC-Potsdam Calibration Study. J Nutr 2011;141(5):914-20.
  55. van der Voet H, van Klaveren J unter Mitwirkung von Arcella D, Bakker M, Boeing H, Boon PE, Crépet A, Dekkers ALM, de Boer WJ, Dodd KW, Ferrari P, Goedhart PW, Hart A, van der Heijden G, Kennedy M, Kipnis V, Knüppel S, Merten C, Ocké M, Slob W. Statistical modelling of usual intake. EFSA External Scientific Report (Question No.: EFSA-Q-2009-00841). 2010.
  56. Montonen J, Landberg R, Kamal-Eldin A, Aman P, Knueppel S, Boeing H, Pischon. Reliability of fasting plasma alkylresorcinol concentrations measured 4 months. Eur J Clin Nutr 2010;64(7):698-703.
  57. Hoeft B, Linseisen J, Beckmann L, Müller-Decker K, Canzian F, Hüsing A, Kaaks R, Vogel U, Jakobsen MU, Overvad K, Hansen RD, Knüppel S, Boeing H, Trichopoulou A, Koumantaki Y, Trichopoulos D, Berrino F, Palli D, Panico S, Tumino R, Bueno-de-Mesquita HB, van Duijnhoven FJ, van Gils CH, Peeters PH, Dumeaux V, Lund E, Huerta Castaño JM, Muñoz X, Rodriguez L, Barricarte A, Manjer J, Jirström K, Van Guelpen B, Hallmans G, Spencer EA, Crowe FL, Khaw KT, Wareham N, Morois S, Boutron-Ruault MC, Clavel-Chapelon F, Chajes V, Jenab M, Boffetta P, Vineis P, Mouw T, Norat T, Riboli E, Nieters A. Polymorphisms in fatty-acid-metabolism-related genes are associated with colorectal cancer risk. Carcinogenesis 2010;31(3):466-72.
  58. Knüppel S, Stang A. DAG program: identifying minimal sufficient adjustment sets. Epidemiology 2010;21(1):159. [Erratum in: Epidemiology 2010;21(3):432.]
  59. Brisch R, Bernstein HG, Krell D, Dobrowolny H, Bielau H, Steiner J, Gos T, Funke S, Stauch R, Knüppel S, Bogerts B. Dopamine-glutamate abnormalities in the frontal cortex associated with the catechol-O-methyltransferase (COMT) in schizophrenia. Brain Res 2009;1269:166-75.