Mathematical modeling: Epidemiology meets systems biology

Cancer Epidemiology Biomarkers and Prevention

Volumn 15, Issue 5, 2006, Pages 827-829

  Ulrich, Cornelia M ^a,c   Nijhout, H Frederik ^b   Reed, Michael C ^b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b DUKE UNIVERSITY   (United States)

^c Fred Hutchinson Cancer Research Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANCER; CANCER EPIDEMIOLOGY; DNA INTEGRATION; DNA POLYMORPHISM; EDITORIAL; FOLATE METABOLISM; HEREDITY; HUMAN; MATHEMATICAL MODEL; PRIORITY JOURNAL; SYSTEMS BIOLOGY;

DNA DAMAGE; DNA REPAIR; EPIDEMIOLOGY, MOLECULAR; GENETIC PREDISPOSITION TO DISEASE; GUANINE; HUMANS; MATHEMATICS; MODELS, GENETIC; NEOPLASMS; POLYMORPHISM, GENETIC;

EID: 33744774481     PISSN: 10559965     EISSN: None     Source Type: Journal    
DOI: 10.1158/1055-9965.EPI-06-0252     Document Type: Editorial

References (27)

1. Sokhansanj BA, Wilson DM. Estimating the impact of human base excision repair protein variants on the repair of oxidative DNA base damage. Cancer Epidemiol Biomarkers Prev 2006;15:1000-8.
2. Thomas DC. The need for a systematic approach to complex pathways in molecular epidemiology. Cancer Epidemiol Biomarkers Prev 2005;14:557-9.
3. Hoeijmakers JH. Genome maintenance mechanisms for preventing cancer. Nature 2001;411:366-74.
4. Lu AI, Li X, Gu Y, Wright PM, Chang DY. Repair of oxidative DNA damage: mechanisms and functions. Cell Biochemistry & Biophysics 2001;35:141-70.
5. Wacholder S, Chanock S, Garcia-Closas M, El Ghormli L, Rothman N. Assessing the probability that a positive report is false: an approach for molecular epidemiology studies. J Natl Cancer Inst 2004;96:434-42.
6. Reed MC, Nijhout HF, Sparks R, Ulrich CM. A mathematical model of the methionine cycle. J Theor Biol 2004;226:33-43.
7. Nijhout HF, Reed MC, Budu P, Ulrich CM. A mathematical model of the folate cycle: new insights into folate homeostasis. J Biol Chem 2004;279:55008-16.
8. Nijhout HF, Reed M, Anderson D, Mattingly J, James SJ, Ulrich CM. Long-range allosteric interactions between the folate and methionine cycles stabilize DNA methylation rate. Epigenetics 2006;1:81-7.
9. Little J, Sharp L, Duthie S, Narayanan S. Colon cancer and genetic variation in folate metabolism: the clinical bottom line. J Nutr 2003;133:3758-66S.
10. Ulrich CM. Nutrigenetics in cancer research-folate metabolism and colorectal cancer. J Nutr 2005;135:2698-702.
11. Giovannucci E. Epidemiologic studies of folate and colorectal neoplasia: a review. J Nutr 2002;132:2350-5S.
12. Rampersaud GC, Bailey LB, Kauwell GP. Relationship of folate to colorectal and cervical cancer: review and recommendations for practitioners. J Am Diet Assoc 2002;102:1273-82.
13. Robien K, Ulrich CM. 5′10-methylenetetrahydrofolate reductase polymorphisms and leukemia risk. Am J Epidemiol 2003;157:571-82.
14. Wagner C. Biochemical role of folate in cellular metabolism. Folate in health and disease. New York: Marcel Dekker; 1995.
15. Duthie SJ, Narayanan S, Brand GM, Pirie L, Grant G. Impact of folate deficiency on DNA stability. J Nutr 2002;132:2444-9S.
16. Zou C-G, Banerjee R. Homocysteine and redox signaling. Antioxid Redox Signal 2005;7:547-59.
17. Choi SW, Mason JB. Folate status: effects on pathways of colorectal carcinogenesis. J Nutr 2002;132:2413-8S.
18. Ulrich CM, Potter JD. Folate supplementation: too much of a good thing? Cancer Epidemiol Biomarkers Prev 2006;15:189-93.
19. Chen J, Giovannucci E, Kelsey K, et al. A methylenetetrahydrofolate reductase polymorphism and the risk of colorectal cancer. Cancer Res 1996;56:4862-4.
20. Ulrich CM, Bigler J, Bostick R, Fosdick L, Potter JD. Thymidylate synthase promoter polymorphism, interaction with folate intake, and risk of colorectal adenomas. Cancer Res 2002;62:3361-4.
21. Ulrich CM, Curtin K, Potter JD, Bigler J, Caan B, Slattery ML. Polymorphisms in the reduced folate carrier, thymidylate synthase, or methionine synthase and risk of colon cancer. Cancer Epidemiol Biomarkers Prev 2005;14:2509-16.
22. Hung RJ, Brennan P, Malaveille C, et al. Using hierarchical modeling in genetic association studies with multiple markers: application to a case-control study of bladder cancer. Cancer Epidemiol Biomarkers Prev 2004;13:1013-21.
23. De Roos AJ, Poole C, Teschke K, Olshan AF. An application of hierarchical regression in the investigation of multiple paternal occupational exposures and neuroblastoma in offspring. Am J Ind Med 2001;39:477-86.
24. Novak B, Tyson JJ. A model for restriction point control of the mammalian cell cycle. J Theor Biol 2004;230:563-79.
25. Thiele I, Price ND, Vo TD, Palsson BO. Candidate metabolic network states in human mitochondria. Impact of diabetes, ischemia, and diet. J Biol Chem 2005;280:11683-95.
26. Craciun G, Tang Y, Feinberg M. Understanding bistability in complex enzyme-driven reaction networks. Proc Natl Acad Sci U S A. In press 2006.
27. Ball K, Kurtz TG, Popovic L, Rempala G. Asymptomatic analysis of multicscale approximations to reaction networks. Ann Appl Prob. In press 2006.