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Suggested Reading and Related Links Session 1 Background and Context

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Emerging Science for Environmental Health Decisions

National Research Council of the National Academies

Emerging Technologies for Measuring Individual Exposomes

December 8-9, 2011

Washington, DC
Suggested Reading and Related Links

Session 1 Background and Context

Lioy PJ and SM Rappaport. Exposure science and the exposome: An opportunity for coherence in the environmental health sciences. 2011. 119(11)
Rappaport SM and MT Smith. Environment and disease risks. Science,

2010. 330(6003): p. 460-1

Wild, CP. Complementing the genome with an “exposome”: the outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomarkers Prev, 2005. 14(8):

p. 1847-50.

Session 2 Building the Individual Exposome

Albinali F, Intille SS, Haskell W, and Rosenberger W. Using wearable activity type detection to improve physical activity energy expenditure estimation. Proceedings of the 12th International Conference on Ubiquitous Computing, New York: ACM Press, pp. 311-320, 2010

Almanza E, Jerrett M et al. A study of community design, greenness, and physical activity in children using satellite, GPS and accelerometer data. Health and Place 2011. Currently in press. (Abstract Only)
Anderson NL. The clinical plasma proteome: a survey of clinical assays for proteins in plasma and serum. Clinical Chemistry. 2010. 56(2):177-85
Anderson NL, Esquer-Blasco R, Richardson F, Foxworthy P, and Eacho P, The Effects of Peroxisome Proliferators on Protein Abundances in Mouse Liver. TOXICOLOGY AND APPLIED PHARMACOLOGY 137, 75–89 (1996).

Beane J, Vick J, Schembri F, Anderlind C, Gower A, Campbell J, Luo L, Zhang XH, Xiao J, Alekseyev YO, Wang S, Levy S, Massion PP, Lenbur M, Spira A. Characterizing the impact of smoking and lung cancer on the airway transcriptome using RNA-Seq. Cancer Prevention Research (Philidelphia, PA). 4(6):803-17 (Abstract Only)

Buck GM, Lynch CD, Stanford JB, et al. Prospective Pregnancy Study Designs for Assessing Reproductive Developmental Toxicants. Environ Health Perspect. 2004;112(1):79-86.

Chadeau-Hyam M, Athersuch TJ, Keun HC, De lorio M, Ebbels TM, Jenab M. Sacerdote C, Bruce SJ, Holmes E, Vineis P. Meeting-in-the-middle using metabolic profiling- a strategy for the identification of intermediate biomarkers in cohort studies. Biomarkers. 2011. 16(1):83-8 (Abstract Only)
Chadeau-Hyam, M, Ebbels TM, Brown IJ, Chan Q, Stamler J, Huang CC, Daviglus ML, Ureshima H, Zhao L, Holmes E, Nicholson JK, Elliott P, De lorio M. Metabolic profiling and the metabolome-wide association study: significance level for biomarker identification. Journal of Proteome Research. 2010. 9(9):4620-7
Dunton GF, Liao Y, Intille S, et al. Investigating children’s physical activity and sedentary behavior using ecological momentary assessment with mobile phones. Obesity (Silver Spring). 2011 Jun; 19(6): 1205-12 (Abstract Only)
Dunton GF, Liao Y, Intille S, et al. Physical and social contextual influences on children’s leisure-time physical activity: an ecological momentary assessment study. J Phys Act Health. 2011 Jan; 8 Suppl 1: S103-8 (Abstract Only)
Edwards SW and Preston JR. Systems biology and mode of action based risk assessment. Toxicological Sciences. 2008. 106(2): 312-318
Gholke JM, Thomas R, Zhang Y, et al. Genetic and environmental pathways to complex diseases. BMC Systems Biology. 5 May 2009. 3:46
Gower AC, Spira A, Lenburg ME. Discovering biological connections between experimental conditions based on common patterns of differential gene expression. BMC Bioinformatics. 2011. 12:381
Heinzmann Ss, Merrifield CA, Rezzi S, Lochhar S, Lindon JC, Holmes E, Nicholson JK. Stability and Robustness of Human Metabolic Phenotypes in Response to Sequential Food Challenges. Journal of Proteome Research. 2011. Oct 17 [EPub ahead of print] (Abstract Only)
Hoofnagel AN, Aebersold R, Anderson NL, Felsenfeld A, Liebler Dc. Painting a moving pictures: large-scale proteomics efforts and their potential for changing patient care. Clinical Chemistry. 2011. 57(10):1357-60
Holmes E, Loo RL, Stamler J, Bictash M, Yap IKS, Chan Q, Ebbels T, De Iorio M, Brown IJ, Veselkov KA, Daviguls ML, Kestleloot H, Ueshima H, Zhao L, Nicholson JK, Elliot P. Human metabolic phenotype diversity and its association with diet and blood pressure. Nature. 2008. 453:396-400
Lane, ND, Miluzzo E, Lu H, et al. A survey of mobile phone sensing. IEEE Communications Magazine. 02 September 2010. 48(9): 140-150.
Louis GMB, Schisterman EF, Sweeney AM, et al. Designing prospective cohort studies for assessing reproductive and developmental toxicity during sensitive windows of human reproduction – the LIFE Study. Paediatr Perinatal Epidemiol. 2011; In press; DOI:10.1111/j.1365-3016.2011.01205x
Louis GMB, Lynch CD, and Cooney MA. (2006). Environmental influences on female fecundity and fertility. Seminars in Reproductive Medicine, 24(3):178-190 (Abstract Only)
Mun M, Reddy S, Shilton K, et al. PIER, the Personal Environmental Impact Report, as a Platform for Participatory Sensing Systems Research. Published in MobiSys ’09: Proceedings of the 7th international conference on Mobile Systems, applications, and services. 2009. Association for Computing Machinery: pp. 55-68.
Negi I, Tsow F, Tanwar K, Zhang L, Iglesias RA, Chen C, Rai A, Forzani ES, Tao N. Novel monitor paradigm for real-time exposure assessment. J Expo Sci Environ Epidemiol. 2011 Jul;21(4):419-26 (Abstract Only)
Patrick K, Griswold WG, Raab F, Intille SS. Health and the mobile phone. Am J Prev Med. 2008 Aug;35(2):177-81. Epub 2008 Jun 12.
Polanski M and NL Anderson. A list of candidate cancer biomarkers for targeted proteomics. Biomarker Insights. 2007. 1:1-48
Rappaport SM, Li H, Grigoryan H, Funk WE, Willams ER. Adductomics: Characterizing exposures to reactive electrophiles. Toxicological Letters. 2011. Article in Press (Abstract Only)
Sridhar S. Schembri F, Zeskind J, Shah V, Gustafson AM, Steiling K, Liu G, Dumas YM, Zhang X, Brody JS, Lenburg ME, Spira A. Smoking-induced gene expression changes in the bronchial airway are reflected in nasal and buccal epithelium. BMC Genomics. 2008. 9: 259
Steiling K, Kadar AY, Bergerat A, Flanigon J, Sridhar S, Shah V, Ahmad QR, Brody JS, Lenburg ME, Steffen M, Spira A. Comparison of proteomic and transcriptomics profiles in the bronchial airway epithelium of current and never smokers. PLoS One. 2009. 4(4):e5043

Yap IK, Brown IJ, Chan Q, Wijeyesekera A, Garcia-Perez I, Bictash M, Loo RL, Chadeau-Hyam M, Ebbels T, De Iorio M, Maibaum E, Zhao L, Kesteloot H, Daviglus ML, Stamler J, Nicholson JK, Elliott P, Holmes E. Metabolome-wide association study identifies multiple biomarkers that discriminate north and south Chinese populations at differing risks of cardiovascular disease: INTERMAP study. Journal of Proteome Research. 2010 Dec 3;9(12):6647-54. (Abstract Only)

Session 3 Proof of Concept Studies
Edwards SW and Preston RJ. Systems biology and mode of action based risk assessment. Toxicological Sciences. 2008; 106(2): 312-318
Hubal EAC, Richard A, Aylward L, Edwards S, et al. Advancing exposure characterization for chemical evaluation and risk assessment. Journal of Toxicology and Environmental Health, Part B. 2010 November 8. 13: 299-313 (Abstract Only)
Idaghdour Y, Czika W, Shianna KV, et al. Georgraphical genomics of human leukocyte gene expression variation in southern Morocco. Nature Genetics. 2010. 42: 62-67
Khoury M.J. and S. Wacholder. From genome-wide association studies to gene-environment-wide interaction studies-Challenges and opportunies. American Journal of Epidemiology. 2008. 169:227-230
Patel CJ, Bhattacharya J, Butte AJ. PLoS One. An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus. 2010 May 20;5(5):e10746.
Patel CJ, Butte AJ. Predicting environmental chemical factors associated with disease-related gene expression data. BMC Med Genomics. 2010 May 6;3:17.
Pleil JD and Sheldon LS. Adapting concepts from systems biology to develop systems exposure event networks for exposure science research. Biomarkers 2011 Mar; 16(2): 99-105. (Abstract Only)
Sobus JR, Tan YM, Pleil JD, Sheldon LS. A biomonitoring framework to support exposure and risk assessments. Science of the Total Environment 2011 Oct 15; 409(22): 4875-84. (Abstract Only)
Thomas, Duncan. Gene-environment-wide association studies: emerging approaches. Nature Reviews Genetics. 2010 April. 11(4): 259-272
Wang Z, Klipfell E, Bennett BJ, Koeth R, Levison BS, Dugar B, Feldstein AE, Britt EB, Fu X, Chung YM, Wu Y, Schauer P, Smith JD, Allayee H, Tang WH, DiDonato JA, Lusis AJ, Hazen SL.

Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature. 2011 Apr 7;472(7341):57-63.

Related Links
Exposure Biology Program. National Institutes of Environmental Health Research
Exposome and Exposomics. Centers for Disease Control and Prevention
Genes & Environment Laboratory. University of California at Berkeley
Biomonitoring Prograp. Centers for Disease Control and Prevention

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