Cancer cluster investigations: Review of the past and proposals for the future

International Journal of Environmental Research and Public Health

Volumn 11, Issue 2, 2014, Pages 1479-1499

  Goodman, Michael ^a   Lakind, Judy S ^b,c,d   Fagliano, Jerald A ^e   Lash, Timothy L ^a   Wiemels, Joseph L ^f   Winn, Deborah M ^g   Patel, Chirag ^h   Van Eenwyk, Juliet ⁱ   Kohler, Betsy A ^j   Schisterman, Enrique F ^k   Albert, Paul ^k   Mattison, Donald R ^l,m  

^a EMORY UNIVERSITY   (United States)

^b IPEX USA LLC   (United States)

^c UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

^d PENN STATE MILTON S HERSHEY MEDICAL CENTER   (United States)

^e NEW JERSEY DEPARTMENT OF HEALTH AND SENIOR SERVICES   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

^g NATIONAL CANCER INSTITUTE   (United States)

^h STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

ⁱ WASHINGTON STATE DEPARTMENT OF HEALTH   (United States)

^j North American Association of Central Cancer Registries   (United States)

^k EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

^l RISK SCIENCES INTERNATIONAL   (Canada)

^m UNIVERSITY OF OTTAWA   (Canada)

more..

Author keywords

Cancer; Cancer biomarkers; Case grouping; Cluster investigations; Exposome; Infection; Leukemia

Indexed keywords

BIOLOGICAL MARKER;

BIOMARKER; BLOOD SYSTEM DISORDER; CANCER; CARCINOGEN; CLUSTER ANALYSIS; INFECTIOUS DISEASE; PUBLIC HEALTH;

CANCER CLASSIFICATION; CANCER REGISTRY; CANCER RESEARCH; CANCER RISK; CARCINOGENESIS; CLUSTER ANALYSIS; ELECTRONIC MEDICAL RECORD; FAMILY HISTORY; GENOMICS; GOVERNMENT; HUMAN; LEUKEMIA; MIGRATION; PUBLIC HEALTH SERVICE; RESIDENTIAL HOME; REVIEW; RISK ASSESSMENT; FORECASTING; NEOPLASMS; PROCEDURES;

CLUSTER ANALYSIS; FORECASTING; HUMANS; NEOPLASMS;

EID: 84893587290     PISSN: 16617827     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph110201479     Document Type: Review

References (123)

1. McCoy, H.V.; Trapido, E.J.; McCoy, C.B.; Strickman-Stein, N.; Engel, S.; Brown, I. Community activism relating to a cluster of breast cancer. J. Commun. Health 1992, 17, 27-36.
2. United States Congress. ATSDR: Problems in the Past, Potential for the Future? Hearing before the Subcommittee on Investigations and Oversight, 2009. Available online: http://www.gpo.gov/fdsys/pkg/CHRG-111hhrg47718/html/CHRG-111hhrg47718.htm (accessed on 6 July 2013).
3. Winn, D.M. Science and society: The Long Island Breast Cancer Study Project. Nat. Rev. Cancer 2005, 5, 986-994.
4. Otte, K.E.; Sigsgaard, T.I.; Kjaerulff, J. Malignant mesothelioma: Clustering in a family producing asbestos cement in their home. Br. J. Ind. Med. 1990, 47, 10-13.
5. Herbst, A.L.; Ulfelder, H.; Poskanzer, D.C. Adenocarcinoma of the vagina-Association of maternal stilbestrol therapy with tumor appearance in young women. N. Engl. J. Med. 1971, 284, 878-881.
6. Boyle, P.; Walker, A.M.; Alexander, F.E. Methods for investigating localized clustering of disease. Historical aspects of leukaemia clusters. IARC Sci. Publ. 1996, 135, 1-20.
7. Caldwell, G.G.; Heath, C.W., Jr. Case clustering in cancer. Southern Med. J. 1976, 69, 1598-1602.
8. Goodman, M.; Naiman, J.S.; Goodman, D.; LaKind, J.S. Cancer clusters in the USA: What do the last twenty years of state and federal investigations tell us? Crit. Rev. Toxicol. 2012, 42, 474-490.
9. De Wals, P. Investigation of clusters of adverse reproductive outcomes, an overview. Eur J. Epidemiol. 1999, 15, 871-875.
10. Elliott, L.; Loomis, D.; Lottritz, L.; Slotnick, R.N.; Oki, E.; Todd, R. Case-control study of a gastroschisis cluster in Nevada. Arch. Pediatr. Adolesc. Med. 2009, 163, 1000-1006.
11. Bertrand, J.; Mars, A.; Boyle, C.; Bove, F.; Yeargin-Allsopp, M.; Decoufle, P. Prevalence of autism in a United States population: The Brick Township, New Jersey, investigation. Pediatrics 2001, 108, 1155-1161.
12. Gee, A. Californian autism clusters leave researchers baffled. Lancet 2010, 376, 1451-1452.
13. Matsuishi, T.; Shiotsuki, Y.; Yoshimura, K.; Shoji, H.; Imuta, F.; Yamashita, F. High prevalence of infantile autism in Kurume City, Japan. J. Child Neurol. 1987, 2, 268-271.
14. Nicoletti, A.; lo Fermo, S.; Reggio, E.; Tarantello, R.; Liberto, A.; le Pira, F.; Patti, F.; Reggio, A. A possible spatial and temporal cluster of multiple sclerosis in the town of Linguaglossa, Sicily. J. Neurol. 2005, 252, 921-925.
15. Schiffer, R.B.; McDermott, M.P.; Copley, C. A multiple sclerosis cluster associated with a small, north-central Illinois community. Arch. Environ. Health 2001, 56, 389-395.
16. Proctor, S.P.; Feldman, R.G.; Wolf, P.A.; Brent, B.; Wartenberg, D. A perceived cluster of amyotrophic lateral sclerosis cases in a Massachusetts community. Neuroepidemiology 1992, 11, 277-281.
17. Sienko, D.G.; Davis, J.P.; Taylor, J.A.; Brooks, B.R. Amyotrophic lateral sclerosis. A case-control study following detection of a cluster in a small Wisconsin community. Arch. Neurol. 1990, 47, 38-41.
18. Fowler, K.A.; Crosby, A.E.; Parks, S.E.; Ivey, A.Z.; Silverman, P.R. Epidemiological investigation of a youth suicide cluster: Delaware 2012. Del. Med. J. 2013, 85, 15-19.
19. Robertson, L.; Skegg, K.; Poore, M.; Williams, S.; Taylor, B. An adolescent suicide cluster and the possible role of electronic communication technology. Crisis 2012, 33, 239-245.
20. Aldrich, T.E. A procedure for investigating cancer cluster reports. Med. Hypotheses 1981, 7, 809-817.
21. Anonymous. Proceedings of the National Conference on Clustering of Health Events, Atlanta, GA, USA, 16-17 February 1989.
22. Caldwell, G.G. Twenty-two years of cancer cluster investigations at the Centers for Disease Control. Amer. J. Epidemiol. 1990, 132, S4 3-S47.
23. Goodman, R.A.; Buehler, J.W.; Koplan, J.P. The epidemiologic field investigation: Science and judgment in public health practice. Amer. J. Epidemiol. 1990, 132, 9-16.
24. Ross, A.; Davis, S. Point pattern analysis of the spatial proximity of residences prior to diagnosis of persons with Hodgkin's disease. Amer. J. Epidemiol. 1990, 132, S53-S62.
25. Rothman, K.J. A sobering start for the cluster busters' conference. Amer. J. Epidemiol. 1987, 132, S6-S13.
26. CDC. Guidelines for investigating clusters of health events. MMWR 1990, 39, 1-23.
27. Kingsley, B.S.; Schmeichel, K.L.; Rubin, C.H. An update on cancer cluster activities at the Centers for Disease Control and Prevention. Environ. Health Perspect. 2007, 115, 165-171.
28. CDC. Investigating Suspected Cancer Clusters and Responding to Community Concerns: Guidelines from CDC and the Council of State and Territorial Epidemiologists. Recommendations and Reports. Available online: http://www.cdc.gov/mmwr/preview/mmwrhtml/rr6208a1.htm?s_cid=rr6208a1_e (accessed on 26 September 2013).
29. Condon, S.K.; Sullivan, J.; Netreba, B. Letter to the editor. Response to "Cancer clusters in the USA: What do the last twenty years of state and federal investigations tell us?" Crit. Rev. Toxicol. 2013, 43, 73-74.
30. Goodman, M.; Naiman, J.S.; Goodman, D.; LaKind, J.S. Response to Condon et al. Comments on "Cancer clusters in the USA: What do the last twenty years of state and federal investigations tell us?" Crit. Rev. Toxicol. 2013, 43, 75-76.
31. Neutra, R.R. Counterpoint from a cluster buster. Amer. J. Epidemiol. 1990, 132, 1-8.
32. Fagin, D. Toms River: A Story of Science and Salvation; Bantam Books: New York, NY, USA, 2013.
33. Gawande, A. The cancer-cluster myth. The New Yorker, 1998, February, 34-37.
34. Harr, J. A Civil Action; Vintage Books: New York, NY, USA, 1995.
35. Johnson, G. Cancer Cluster or Chance? The Link between Environmental Contaminants and Cancer is Surprisingly Weak, if not Imaginary. Available online: http://www.slate.com/articles/health_and_science/medical_examiner/2013/03/cancer_cluster_in_toms_river_new_jersey_the_link_to_a_superfund_site_is.html (accessed on 24 September 2013).
36. Aldrich, T.; Sinks, T. Things to know and do about cancer clusters. Cancer Invest. 2002, 20, 810-816.
37. Thun, M.J.; Sinks, T. Understanding cancer clusters. Ca-A Cancer J. Clin. 2004, 54, 273-280.
38. Trumbo, C.W. Public requests for cancer cluster investigations: A survey of state health departments. Amer. J. Public Health 2000, 90, 1300-1302.
39. Wartenberg, D.; Greenberg, M. Solving the cluster puzzle: Clues to follow and pitfalls to avoid. Stat. Med. 1993, 12, 1763-1770.
40. Williams, L.J.; Honein, M.A.; Rasmussen, S.A. Methods for a public health response to birth defects clusters. Teratology 2002, 66, S50-S58.
41. Berman, D.W.; Cox, L.A., Jr.; Popken, D.A. A cautionary tale: The characteristics of two-dimensional distributions and their effects on epidemiological studies employing an ecological design. Crit. Rev. Toxicol. 2013, 1, S1-S25.
42. Cox, L.A., Jr.; Popken, D.A.; Berman, D.W. Causal vs. spurious spatial exposure-response associations in health risk analysis. Crit. Rev. Toxicol. 2013, 43, 26-38.
43. Francis, S.S.; Selvin, S.; Yang, W.; Buffler, P.A.; Wiemels, J.L. Unusual space-time patterning of the Fallon, Nevada leukemia cluster: Evidence of an infectious etiology. Chem. Biol. Interact. 2012, 196, 102-109.
44. Wakefield, J.; Kim, A. A Bayesian model for cluster detection. Biostatistics 2013, 14, 752-765.
45. CDC. Cancer Clusters. National Center for Environmental Health. 2012. Available online: http://www.cdc.gov/nceh/clusters/ (accessed on 18 September 2013).
46. Navarro, K.; Janssen, S.; Nordbrock, T.; Solomon, G. Health Alert: Disease Clusters Spotlight the Need to Protect People from Toxic Chemicals; Natural Resources Defense Council: New York, NY, USA, 2011.
47. Curtis, R.E.; Boice, J.D., Jr.; Stovall, M.; Bernstein, L.; Greenberg, R.S.; Flannery, J.T.; Schwartz, A.G.; Weyer, P.; Moloney, W.C.; Hoover, R.N. Risk of leukemia after chemotherapy and radiation treatment for breast cancer. N. Engl. J. Med. 1992, 326, 1745-1751.
48. Chapman, J.R.; Webster, A.C.; Wong, G. Cancer in the transplant recipient. Cold Spring Harb. Perspect. Med. 2013, 3, doi:10.1101/cshperspect.a015677.
49. Engels, E.A.; Pfeiffer, R.M.; Fraumeni, J.F., Jr.; Kasiske, B.L.; Israni, A.K.; Snyder, J.J.; Wolfe, R.A.; Goodrich, N.P.; Bayakly, A.R.; Clarke, C.A. et al. Spectrum of cancer risk among USA solid organ transplant recipients. JAMA 2011, 306, 1891-1901.
50. Jacquez, G.M.; Meliker, J.; Kaufmann, A. In search of induction and latency periods: Space-time interaction accounting for residential mobility, risk factors and covariates. Int. J. Health Geogr. 2007, 6, doi:10.1186/1476-072X-6-35.
51. Division of Epidemiologic Studies, Illinois Department of Public Health. Incidence of Glioblastoma in Zip Code 60453 of Oak Lawn (Cook County), Illinois 1993-1997; Illinois Department of Public Health, Springfield, IL, USA, 2000.
52. Pui, C.H.; Relling, M.V.; Downing, J.R. Acute lymphoblastic leukemia. N. Engl. J. Med. 2004, 350, 1535-1548.
53. Bender, A.; Williams, A.N.; Bushhouse, S. Statistical anatomy of a brain cancer cluster-Stillwater, Minnesota. Disease Control Newsletter Minnesota Department of Health 1995, 23, 4-7.
54. Olsen, S.F.; Martuzzi, M.; Elliott, P. Cluster analysis and disease mapping-Why, when, and how? A step by step guide. BMJ 1996, 313, 863-866.
55. Nuckols, J.; Airola, M.; Colt, J.; Johnson, A.; Schwenn, M.; Waddell, R.; Karagas, M.; Silverman, D.; Ward, M.H. The impact of residential mobility on exposure assessment in cancer epidemiology. Epidemiology 2009, 20, S259-S260.
56. Pearce, J.; Boyle, P. Is the urban excess in lung cancer in Scotland explained by patterns of smoking? Soc. Sci. Med. 2005, 60, 2833-2843.
57. Hankey, B.F.; Ries, L.A.; Edwards, B.K. The surveillance, epidemiology, and end results program: A national resource. Cancer Epidem. Biomarker Prev. 1999, 8, 1117-1121.
58. Clegg, L.X.; Feuer, E.J.; Midthune, D.N.; Fay, M.P.; Hankey, B.F. Impact of reporting delay and reporting error on cancer incidence rates and trends. J. Natl. Cancer Inst. 2002, 94, 1537-1545.
59. Lipscomb, J.; Gotay, C.C.; Snyder, C. Outcomes assessment in cancer: Measures, methods and applications; Cambridge University Press: Cambridge, UK, 2005.
60. CDC, NPCR. NPCR-AERRO ePath Reporting Activities. Available online: http://www.cdc.gov/cancer/npcr/informatics/aerro/activities/epath.htm (accessed on 12 September 2013).
61. Cernile, G.; Goodman, M.; Ward, K. Automated Cancer Data Extraction and Rapid Case Ascertainment from Text Based Electronic Pathology Reports. In Proceedings of American Medical Informatics Association Joint Summits on Translational Science, San Francisco, CA, USA, 19-23 March 2012.
62. CDC, NPCR. Meaningful Use of Electronic Health Records. Available online: http://www.cdc.gov/cancer/npcr/meaningful_use.htm (accessed on 12 September 2013).
63. Jacquez, G.M.; Slotnick, M.J.; Meliker, J.R.; AvRuskin, G.; Copeland, G.; Nriagu, J. Accuracy of commercially available residential histories for epidemiologic studies. Amer. J. Epidemiol. 2011, 173, 236-243.
64. Turnbull, B.W.; Iwano, E.J.; Burnett, W.S.; Howe, H.L.; Clark, L.C. Monitoring for clusters of disease: Application to leukemia incidence in upstate New York. Amer. J. Epidemiol. 1990, 132, S136-S143.
65. Besag, J.; Newell, J. The detection of clusters in rare diseases. J. Roy. Statist. Soc. Ser. A Stat. 1991, 154, 143-155.
66. Tango, T. A class of tests for detecting "general" and "focused" clustering of rare diseases. Stat. Med. 1995, 14, 2323-2334.
67. Swartz, J.B. An entropy-based algorithm for detecting clusters of cases and controls and its comparison with a method using nearest neighbours. Health Place 1998, 4, 67-77.
68. Whittemore, A.S.; Friend, N.; Brown, B.W.; Holly E.A. A test to detect clusters of disease. Biometrika 1987, 74, 631-635.
69. Kulldorff, M.; Song, C.; Gregorio, D.; Samociuk, H.; DeChello, L. Cancer map patterns: Are they random or not? Amer. J. Prev. Med. 2006, 30, S37-S49.
70. Fang, Z.; Kulldorff, M.; Gregorio, D.I. Brain cancer mortality in the United States, 1986 to 1995: A geographic analysis. Neuro. Oncol. 2004, 6, 179-187.
71. Lawson, A.B. Disease cluster detection: A critique and a Bayesian proposal. Stat. Med. 2006, 25, 897-916.
72. Lawson, A.B. Commentary: Assessment of chance should be central in investigation of cancer clusters. Int. J. Epidemiol. 2013, 42, 448-449.
73. Moraga, P.; Kulldorff, M. Detection of spatial variations in temporal trends with a quadratic function. Stat. Methods Med. Res. 2013, in press.
74. Jones, S.G.; Kulldorff, M. Influence of spatial resolution on space-time disease cluster detection. PLoS One 2012, 7, doi:10.1371/journal.pone.0048036.
75. Wagner, S.E.; Bauer, S.E.; Bayakly, A.R.; Vena, J.E. Prostate cancer incidence and tumor severity in Georgia: Descriptive epidemiology, racial disparity, and geographic trends. Cancer Cause. Control 2013, 24, 153-166.
76. Beale, L.; Abellan, J.J.; Hodgson, S.; Jarup, L. Methodologic issues and approaches to spatial epidemiology. Environ. Health Perspect. 2008, 116, 1105-1110.
77. Goovaerts, P. Accounting for rate instability and spatial patterns in the boundary analysis of cancer mortality maps. Environ. Ecol. Stat. 2008, 15, 421-446.
78. Thew, S.L.; Sutcliffe, A.; de Bruijn, O.; McNaught, J.; Procter, R.; Jarvis, P.; Buchan, I. Supporting creativity and appreciation of uncertainty in exploring geo-coded public health data. Methods Inform. Med. 2011, 50, 158-165.
79. MacEachren, A.M.; Robinson, A.; Hopper, S.; Gardner, S.; Murray, R.; Gahegan, M.; Hetzler, E. Visualizing geospatial information uncertainty: What we know and what we need to know. Cartogr. Geogr. Inform. Sci. 2005, 32, 139-160.
80. Jacquez, G.M. A research agenda: Does geocoding positional error matter in health GIS studies? Spat. Spatiotemporal Epidemiol. 2012, 3, 7-16.
81. Brownstein, J.S.; Freifeld, C.C.; Madoff, L.C. Digital disease detection-Harnessing the web for public health surveillance. N. Engl. J. Med. 2009, 360, 2153-2157.
82. Jensen, P.B.; Jensen, L.J.; Brunak, S. Mining electronic health records: Towards better research applications and clinical care. Nat. Rev. Genet. 2012, 13, 395-405.
83. Lian, M.; Struthers, J.; Schootman, M. Comparing GIS-based measures in access to mammography and their validity in predicting neighborhood risk of late-stage breast cancer. PLoS One 2012, 7, doi:10.1371/journal.pone.0043000.
84. Richardson, D.B.; Volkow, N.D.; Kwan, M.P.; Kaplan, R.M.; Goodchild, M.F.; Croyle, R.T. Spatial turn in health research. Science 2013, 339, 1390-1392.
85. Wangia, V.; Shireman, T.I. A review of geographic variation and geographic information systems (GIS) applications in prescription drug use research. Res. Soc. Admin. Pharm. 2013, doi:10.1016/j.sapharm.2012.11.006.
86. Lazer, D.; Pentland, A.; Adamic, L.; Aral, S.; Barabasi, A.L.; Brewer, D.; Christakis, N.; Contractor, N.; Fowler, J.; Gutmann, M. et al. Social science. Computational social science. Science 2009, 323, 721-723.
87. Kosinski, M.; Stillwell, D.; Graepel, T. Private traits and attributes are predictable from digital records of human behavior. Proc. Natl. Acad. Sci. USA 2013, 110, 5802-5805.
88. Rothman, K.J. Clustering of disease. Amer. J. Public Health 1987, 77, 13-15.
89. Vogelstein, B.; Fearon, E.R.; Hamilton, S.R.; Kern, S.E.; Preisinger, A.C.; Leppert, M.; Nakamura, Y.; White, R.; Smits, A.M.; Bos, J.L. Genetic alterations during colorectal-tumor development. N. Engl. J. Med. 1988, 319, 525-532.
90. Hanahan, D.; Weinberg, R.A. Hallmarks of cancer: The next generation. Cell 2011, 144, 646-674.
91. Abdulwahab, A.; Sykes, J.; Kamel-Reid, S.; Chang, H.; Brandwein, J.M. Therapy-related acute lymphoblastic leukemia is more frequent than previously recognized and has a poor prognosis. Cancer 2012, 118, 3962-3967.
92. Sam, T.N.; Kersey, J.H.; Linabery, A.M.; Johnson, K.J.; Heerema, N.A.; Hilden, J.M.; Davies, S.M.; Reaman, G.H.; Ross, J.A. MLL gene rearrangements in infant leukemia vary with age at diagnosis and selected demographic factors: A Children's Oncology Group (COG) study. Pediatr. Blood Cancer 2012, 58, 836-839.
93. Kennedy, S.R.; Loeb, L.A.; Herr, A.J. Somatic mutations in aging, cancer and neurodegeneration. Mech. Age. Dev. 2012, 133, 118-126.
94. Beckman, K.B.; Ames, B.N. Oxidative decay of DNA. J. Biol. Chem. 1997, 272, 19633-19636.
95. Goodman, M.; Bostick, R.M.; Kucuk, O.; Jones, D.P. Clinical trials of antioxidants as cancer prevention agents: Past, present, and future. Free Radical Biol. Med. 2011, 51, 1068-1084.
96. Janakiram, N.B.; Rao, C.V. Molecular markers and targets for colorectal cancer prevention. Acta Pharmacol. Sin. 2008, 29, 1-20.
97. Davis, K.L.; Marina, N.; Arber, D.A.; Ma, L.; Cherry, A.; Dahl, G.V.; Heerema-McKenney, A. Pediatric acute myeloid leukemia as classified using 2008 WHO criteria: A single-center experience. Amer. J. Clin. Pathol. 2013, 139, 818-825.
98. Creutzig, U.; van den Heuvel-Eibrink, M.M.; Gibson, B.; Dworzak, M.N.; Adachi, S.; de Bont, E.; Harbott, J.; Hasle, H.; Johnston, D.; Kinoshita, A. et al. Diagnosis and management of acute myeloid leukemia in children and adolescents: Recommendations from an international expert panel. Blood 2012, 120, 3187-3205.
99. SEER Program Quality Control Section. ICD-0-3 SEER Site/Histology Validation List, 5 December 2012. Available online: http://seer.cancer.gov/icd-o-3/sitetype.icdo3.d20121205.pdf (accessed on 18 September 2013).
100. McDermott, U.; Downing, J.R.; Stratton, M.R. Genomics and the continuum of cancer care. N Engl. J. Med. 2011, 364, 340-350.
101. Boyle, P. Triple-negative breast cancer: Epidemiological considerations and recommendations. Ann. Oncol. 2012, 23, 7-12.
102. Hanahan, D.; Weinberg, R.A. The hallmarks of cancer. Cell 2000, 100, 57-70.
103. Barbacid, M. Ras oncogenes: Their role in neoplasia. Eur. J. Clin. Invest. 1990, 20, 225-235.
104. Pfeifer, G.P.; Besaratinia, A. Mutational spectra of human cancer. Hum. Genet. 2009, 125, 493-506.
105. Schaap, F.G.; French, P.J.; Bovee, J.V. Mutations in the isocitrate dehydrogenase genes IDH1 and IDH2 in tumors. Adv. Anat. Pathol. 2013, 20, 32-38.
106. Wiemels, J. Chromosomal translocations in childhood leukemia: Natural history, mechanisms, and epidemiology. J. Natl. Cancer Inst. Monogr. 2008, 87-90.
107. Gao, F.; Chia, K.S.; Machin, D. On the evidence for seasonal variation in the onset of acute lymphoblastic leukemia (ALL). Leuk. Res. 2007, 31, 1327-1338.
108. Eden, T. Aetiology of childhood leukaemia. Cancer Treat. Rev. 2010, 36, 286-297.
109. Greaves, M. Infection, immune responses and the aetiology of childhood leukaemia. Nat. Rev. Cancer 2006, 6, 193-203.
110. Infante-Rivard, C. Chemical risk factors and childhood leukaemia: A review of recent studies. Radiat. Prot. Dosim. 2008, 132, 220-227.
111. Kroll, M.E.; Draper, G.J.; Stiller, C.A.; Murphy, M.F. Childhood leukemia incidence in Britain, 1974-2000: Time trends and possible relation to influenza epidemics. J. Natl. Cancer Inst. 2006, 98, 417-420.
112. Heath, C.W., Jr.; Hasterlik, R.J. Leukemia among children in a suburban community. Amer. J. Med. 1963, 34, 796-812.
113. Steinberg, K.K.; Relling, M.V.; Gallagher, M.L.; Greene, C.N.; Rubin, C.S.; French, D.; Holmes, A.K.; Carroll, W.L.; Koontz, D.A.; Sampson, E.J. et al. Genetic studies of a cluster of acute lymphoblastic leukemia cases in Churchill County, Nevada. Environ. Health Perspect. 2007, 115, 158-164.
114. Cazzaniga, G.; Bisanti, L.A.; Palmi, C.; Randi, G.; Pregliasco, F.; Deandrea, S. et al. A Childhood Leukaemia Cluster in Milan: Possible Role of Pandemic AH1N1 Swine Flu Virus. In Proceedings of American Society of Hematology Annual Meeting, Atlanta, GA, USA, 8-11 December 2012.
115. Costas, K.; Knorr, R.S.; Condon, S.K. A case-control study of childhood leukemia in Woburn, Massachusetts: The relationship between leukemia incidence and exposure to public drinking water. Sci. Total Environ. 2002, 300, 23-35.
116. Maslia, M.L.; Reyes, J.J.; Gillig, R.E.; Sautner, J.B.; Fagliano, J.A.; Aral, M.M. Public health partnerships addressing childhood cancer investigations: Case study of Toms River, Dover Township, New Jersey, USA. Int. J. Hyg. Environ. Health 2005, 208, 45-54.
117. Kinlen, L.J. An examination, with a meta-analysis, of studies of childhood leukaemia in relation to population mixing. Br. J. Cancer 2012, 107, 1163-1168.
118. Chiu, C.Y. Viral pathogen discovery. Curr. Opin. Microbiol. 2013, 16, 468-478.
119. Steinmaus, C.; Lu, M.; Todd, R.L.; Smith, A.H. Probability estimates for the unique childhood leukemia cluster in Fallon, Nevada, and risks near other US military aviation facilities. Environ. Health Perspect. 2004, 112, 766-771.
120. Wild, C.P.; Scalbert, A.; Herceg, Z. Measuring the exposome: A powerful basis for evaluating environmental exposures and cancer risk. Environ. Mol. Mutagen. 2013, 54, doi:10.1002/em.21777.
121. Palacios, G.; Druce, J.; Du, L.; Tran, T.; Birch, C.; Briese, T.; Conlan, S.; Quan, P.L.; Hui, J.; Marshall, J. et al. A new arenavirus in a cluster of fatal transplant-associated diseases. N. Engl. J. Med. 2008, 358, 991-998.
122. Patel, C.J.; Bhattacharya, J.; Butte, A.J. An environment-wide association study (EWAS) on type 2 diabetes mellitus. PLoS One 2010, 5, doi:10.1371/journal.pone.0010746.
123. Patel, C.J.; Chen, R.; Kodama, K.; Ioannidis, J.P.; Butte, A.J. Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus. Hum. Genet. 2013, 132, 495-508.