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
Lioy PJ and SM Rappaport. Exposure science and the exposome: An opportunity for coherence in the environmental health sciences. 2011. 119(11) http://ehp03.niehs.nih.gov/article/fetchArticle.action?articleURI=info%3Adoi%2F10.1289%2Fehp.1104387 Rappaport SM and MT Smith. Environment and disease risks. Science, 2010. 330(6003): p. 460-1 http://www.sciencemag.org/content/330/6003/460.full 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. http://cebp.aacrjournals.org/content/14/8/1847.long 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 http://web.media.mit.edu/~intille/papers-files/AlbinaliIntilleHaskellRosenberger10.pdf 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. http://www.citeulike.org/article/9831186 (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 http://www.clinchem.org/cgi/content/full/56/2/177 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). http://www.plasmaproteome.org/Bios_and_bibliographies/PDF%27s/The%20effects%20of%20peroxisome%20proliferators%20on%20protein%20abundances%20in%20mouse-Anderson-1996-Toxicol%20Appl%20Pharmacol.pdf 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 http://www.ncbi.nlm.nih.gov/pubmed/21636547 (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.http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1241801/?tool=pubmed 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 http://informahealthcare.com/doi/abs/10.3109/1354750X.2010.533285 (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 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2941198/?tool=pubmed 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 http://www.ncbi.nlm.nih.gov/pubmed/21164502 (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 http://www.ncbi.nlm.nih.gov/pubmed/21350250 (Abstract Only) Edwards SW and Preston JR. Systems biology and mode of action based risk assessment. Toxicological Sciences. 2008. 106(2): 312-318 http://toxsci.oxfordjournals.org/content/106/2/312.long Gholke JM, Thomas R, Zhang Y, et al. Genetic and environmental pathways to complex diseases. BMC Systems Biology. 5 May 2009. 3:46 http://www.biomedcentral.com/1752-0509/3/46 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 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203354/?tool=pubmed 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] http://pubs.acs.org/doi/abs/10.1021/pr2005764 (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 http://www.clinchem.org/cgi/content/full/57/10/1357 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 http://www.nature.com/nature/journal/v453/n7193/full/nature06882.html Lane, ND, Miluzzo E, Lu H, et al. A survey of mobile phone sensing. IEEE Communications Magazine. 02 September 2010. 48(9): 140-150. http://www.cs.dartmouth.edu/~campbell/papers/survey.pdf 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 http://onlinelibrary.wiley.com/doi/10.1111/j.1365-3016.2011.01205.x/pdf Louis GMB, Lynch CD, and Cooney MA. (2006). Environmental influences on female fecundity and fertility. Seminars in Reproductive Medicine, 24(3):178-190 https://www.thieme-connect.com/DOI/DOI?10.1055/s-2006-944421 (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. http://www.eecs.ucf.edu/~turgut/COURSES/EEL6788_AWN_Spr11/Papers/Mun-PersonalEnvironmentalImpactReport.pdf 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 http://www.nature.com/jes/journal/v21/n4/full/jes201035a.html (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. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2527290/?tool=pubmed Polanski M and NL Anderson. A list of candidate cancer biomarkers for targeted proteomics. Biomarker Insights. 2007. 1:1-48 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2716785/?tool=pubmed Rappaport SM, Li H, Grigoryan H, Funk WE, Willams ER. Adductomics: Characterizing exposures to reactive electrophiles. Toxicological Letters. 2011. Article in Press http://www.sciencedirect.com/science/article/pii/S0378427411001330 (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 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2435556/?tool=pubmed 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 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2664466/?tool=pubmed 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. http://pubs.acs.org/doi/abs/10.1021/pr100798r (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 http://toxsci.oxfordjournals.org/content/106/2/312.full.pdf 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 http://www.tandfonline.com/doi/abs/10.1080/10937404.2010.483947 (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 http://www.nature.com/ng/journal/v42/n1/abs/ng.495.html 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 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2727257/?tool=pubmed 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. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873978/?tool=pubmed Patel CJ, Butte AJ. Predicting environmental chemical factors associated with disease-related gene expression data. BMC Med Genomics. 2010 May 6;3:17. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2880288/?tool=pubmed 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. http://www.ncbi.nlm.nih.gov/pubmed/21138393 (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. http://www.ncbi.nlm.nih.gov/pubmed/21906784 (Abstract Only) Thomas, Duncan. Gene-environment-wide association studies: emerging approaches. Nature Reviews Genetics. 2010 April. 11(4): 259-272 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2891422/ 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. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3086762/?tool=pubmed Related Links Exposure Biology Program. National Institutes of Environmental Health Research http://www.niehs.nih.gov/research/supported/programs/exposure/index.cfm Exposome and Exposomics. Centers for Disease Control and Prevention http://www.cdc.gov/niosh/topics/exposome/ Genes & Environment Laboratory. University of California at Berkeley http://gel.berkeley.edu/ Biomonitoring Prograp. Centers for Disease Control and Prevention http://www.cdc.gov/exposurereport/ |