메뉴 건너뛰기




Volumn 59, Issue , 2019, Pages 107-127

The exposome: Molecules to populations

Author keywords

Epidemiology; Exposome; Exposure; Metabolomics; Pharmacokinetics; Systems biology

Indexed keywords

TAMSULOSIN;

EID: 85055412312     PISSN: 03621642     EISSN: 15454304     Source Type: Book Series    
DOI: 10.1146/annurev-pharmtox-010818-021315     Document Type: Review
Times cited : (159)

References (156)
  • 1
    • 23844523425 scopus 로고    scopus 로고
    • Complementing the genome with an "exposome": The outstanding challenge of environmental exposure measurement in molecular epidemiology
    • Wild CP. 2005. Complementing the genome with an "exposome": the outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol. Biomark. Prev. 14:1847-50
    • (2005) Cancer Epidemiol. Biomark. Prev. , vol.14 , pp. 1847-1850
    • Wild, C.P.1
  • 2
    • 84858668898 scopus 로고    scopus 로고
    • The exposome: From concept to utility
    • Wild CP. 2012. The exposome: from concept to utility. Int. J. Epidemiol. 41:24-32
    • (2012) Int. J. Epidemiol. , vol.41 , pp. 24-32
    • Wild, C.P.1
  • 3
    • 84891338758 scopus 로고    scopus 로고
    • The nature of nurture: Refining the definition of the exposome
    • Miller GW, Jones DP. 2014. The nature of nurture: refining the definition of the exposome. Toxicol. Sci. 137:1-2
    • (2014) Toxicol. Sci. , vol.137 , pp. 1-2
    • Miller, G.W.1    Jones, D.P.2
  • 5
    • 85031506315 scopus 로고    scopus 로고
    • The exposome paradigm in human health: Lessons from the Emory Exposome Summer Course
    • Niedzwiecki MM, Miller GW. 2017. The exposome paradigm in human health: lessons from the Emory Exposome Summer Course. Environ. Health Perspect. 125:064502
    • (2017) Environ. Health Perspect. , vol.125 , pp. 064502
    • Niedzwiecki, M.M.1    Miller, G.W.2
  • 7
    • 84977644984 scopus 로고    scopus 로고
    • Genetic factors are not the major causes of chronic diseases
    • Rappaport SM. 2016. Genetic factors are not the major causes of chronic diseases. PLOS ONE 11:e0154387
    • (2016) PLOS ONE , vol.11 , pp. e0154387
    • Rappaport, S.M.1
  • 9
    • 84882246842 scopus 로고    scopus 로고
    • Exposure science, the exposome, and public health
    • Brunekreef B. 2013. Exposure science, the exposome, and public health. Environ. Mol. Mutagen. 54:596-98
    • (2013) Environ. Mol. Mutagen. , vol.54 , pp. 596-598
    • Brunekreef, B.1
  • 10
    • 85018193775 scopus 로고    scopus 로고
    • Assessing the exposome with external measures: Commentary on the state of the science and research recommendations
    • Turner MC, Nieuwenhuijsen M, Anderson K, Balshaw D, Cui Y, et al. 2017. Assessing the exposome with external measures: commentary on the state of the science and research recommendations. Annu. Rev. Public Health 38:215-39
    • (2017) Annu. Rev. Public Health , vol.38 , pp. 215-239
    • Turner, M.C.1    Nieuwenhuijsen, M.2    Anderson, K.3    Balshaw, D.4    Cui, Y.5
  • 11
    • 77953238617 scopus 로고    scopus 로고
    • Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: Development and application
    • van Donkelaar A, Martin RV, Brauer M, Kahn R, Levy R, et al. 2010. Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application. Environ. Health Perspect. 118:847-55
    • (2010) Environ. Health Perspect. , vol.118 , pp. 847-855
    • Van Donkelaar, A.1    Martin, R.V.2    Brauer, M.3    Kahn, R.4    Levy, R.5
  • 12
    • 85021677559 scopus 로고    scopus 로고
    • Exploring pathways linking greenspace to health: Theoretical and methodological guidance
    • Markevych I, Schoierer J, Hartig T, Chudnovsky A, Hystad P, et al. 2017. Exploring pathways linking greenspace to health: theoretical and methodological guidance. Environ. Res. 158:301-17
    • (2017) Environ. Res. , vol.158 , pp. 301-317
    • Markevych, I.1    Schoierer, J.2    Hartig, T.3    Chudnovsky, A.4    Hystad, P.5
  • 13
    • 85040728218 scopus 로고    scopus 로고
    • Evaluating street view exposure measures of visible green space for health research
    • In press
    • Larkin A, Hystad P. 2018. Evaluating street view exposure measures of visible green space for health research. J. Expo. Sci. Environ. Epidemiol. In press. https://doi.org/10.1038/s41370-018-0017-1
    • (2018) J. Expo. Sci. Environ. Epidemiol
    • Larkin, A.1    Hystad, P.2
  • 14
    • 39749099247 scopus 로고    scopus 로고
    • Light at night co-distributes with incident breast but not lung cancer in the female population of Israel
    • Kloog I, Haim A, Stevens RG, Barchana M, Portnov BA. 2008. Light at night co-distributes with incident breast but not lung cancer in the female population of Israel. Chronobiol. Int. 25:65-81
    • (2008) Chronobiol. Int. , vol.25 , pp. 65-81
    • Kloog, I.1    Haim, A.2    Stevens, R.G.3    Barchana, M.4    Portnov, B.A.5
  • 15
    • 84959102063 scopus 로고    scopus 로고
    • Does artificial light-at-night exposure contribute to the worldwide obesity pandemic?
    • Rybnikova NA, Haim A, Portnov BA. 2016. Does artificial light-at-night exposure contribute to the worldwide obesity pandemic? Int. J. Obes. 40:815-23
    • (2016) Int. J. Obes. , vol.40 , pp. 815-823
    • Rybnikova, N.A.1    Haim, A.2    Portnov, B.A.3
  • 16
    • 85021430709 scopus 로고    scopus 로고
    • High-resolution air pollution mapping with Google Street View cars: Exploiting big data
    • Apte JS, Messier KP, Gani S, Brauer M, Kirchstetter TW, et al. 2017. High-resolution air pollution mapping with Google Street View cars: exploiting big data. Environ. Sci. Technol. 51:6999-7008
    • (2017) Environ. Sci. Technol. , vol.51 , pp. 6999-7008
    • Apte, J.S.1    Messier, K.P.2    Gani, S.3    Brauer, M.4    Kirchstetter, T.W.5
  • 17
    • 85009353166 scopus 로고    scopus 로고
    • Ambient air pollution and primary liver cancer incidence in four European cohorts within the ESCAPE project
    • Pedersen M, Andersen ZJ, Stafoggia M, Weinmayr G, Galassi C, et al. 2017. Ambient air pollution and primary liver cancer incidence in four European cohorts within the ESCAPE project. Environ. Res. 154:226-33
    • (2017) Environ. Res. , vol.154 , pp. 226-233
    • Pedersen, M.1    Andersen, Z.J.2    Stafoggia, M.3    Weinmayr, G.4    Galassi, C.5
  • 19
    • 85028581618 scopus 로고    scopus 로고
    • Robustness of intra urban land-use regression models for ultrafine particles and black carbon based on mobile monitoring
    • Kerckhoffs J, Hoek G, Vlaanderen J, van Nunen E, Messier K, et al. 2017. Robustness of intra urban land-use regression models for ultrafine particles and black carbon based on mobile monitoring. Environ. Res. 159:500-8
    • (2017) Environ. Res. , vol.159 , pp. 500-508
    • Kerckhoffs, J.1    Hoek, G.2    Vlaanderen, J.3    Van Nunen, E.4    Messier, K.5
  • 20
    • 84901488489 scopus 로고    scopus 로고
    • Spatial variability of particle number concentrations and NOx in the Karlsruhe (Germany) area obtained with the mobile laboratory 'AERO-TRAM. '
    • Hagemann R, Corsmeier U, Kottmeier C, Rinke R, Wieser A, Vogel B. 2014. Spatial variability of particle number concentrations and NOx in the Karlsruhe (Germany) area obtained with the mobile laboratory 'AERO-TRAM. ' Atmos. Environ. 94:341-52
    • (2014) Atmos. Environ. , vol.94 , pp. 341-352
    • Hagemann, R.1    Corsmeier, U.2    Kottmeier, C.3    Rinke, R.4    Wieser, A.5    Vogel, B.6
  • 21
    • 84922628547 scopus 로고    scopus 로고
    • Deriving high-resolution urban air pollution maps using mobile sensor nodes
    • Hasenfratz D, Saukh O, Walser C, Hueglin C, Fierz M, et al. 2015. Deriving high-resolution urban air pollution maps using mobile sensor nodes. Pervasive Mob. Comput. 16(Part B):268-85
    • (2015) Pervasive Mob. Comput. , vol.16 , pp. 268-285
    • Hasenfratz, D.1    Saukh, O.2    Walser, C.3    Hueglin, C.4    Fierz, M.5
  • 28
    • 84966344910 scopus 로고    scopus 로고
    • Measuring personal exposure to organophosphate flame retardants using silicone wristbands and hand wipes
    • Hammel SC, Hoffman K, Webster TF, Anderson KA, Stapleton HM. 2016. Measuring personal exposure to organophosphate flame retardants using silicone wristbands and hand wipes. Environ. Sci. Technol. 50:4483-91
    • (2016) Environ. Sci. Technol. , vol.50 , pp. 4483-4491
    • Hammel, S.C.1    Hoffman, K.2    Webster, T.F.3    Anderson, K.A.4    Stapleton, H.M.5
  • 29
    • 84959450074 scopus 로고    scopus 로고
    • Using silicone wristbands to evaluate preschool children's exposure to flame retardants
    • Kile ML, Scott RP, O'Connell SG, Lipscomb S, MacDonald M, et al. 2016. Using silicone wristbands to evaluate preschool children's exposure to flame retardants. Environ. Res. 147:365-72
    • (2016) Environ. Res. , vol.147 , pp. 365-372
    • Kile, M.L.1    Scott, R.P.2    O'Connell, S.G.3    Lipscomb, S.4    MacDonald, M.5
  • 32
    • 84963934791 scopus 로고    scopus 로고
    • Smartphone-based noise mapping: Integrating sound level meter app data into the strategic noise mapping process
    • Murphy E, King EA. 2016. Smartphone-based noise mapping: integrating sound level meter app data into the strategic noise mapping process. Sci. Total Environ. 562:852-59
    • (2016) Sci. Total Environ. , vol.562 , pp. 852-859
    • Murphy, E.1    King, E.A.2
  • 33
    • 85016147194 scopus 로고    scopus 로고
    • Context-sensitive ecological momentary assessments; Integrating real-time exposure measurements, data-analytics and health assessment using a smartphone application
    • van Wel L, Huss A, Bachmann P, Zahner M, Kromhout H, et al. 2017. Context-sensitive ecological momentary assessments; integrating real-time exposure measurements, data-analytics and health assessment using a smartphone application. Environ. Int. 103:8-12
    • (2017) Environ. Int. , vol.103 , pp. 8-12
    • Van Wel, L.1    Huss, A.2    Bachmann, P.3    Zahner, M.4    Kromhout, H.5
  • 34
    • 85059107685 scopus 로고    scopus 로고
    • Perspectives for environment and health research in Horizon 2020: Dark ages or golden era?
    • Smolders R, De Boever P. 2014. Perspectives for environment and health research in Horizon 2020: dark ages or golden era? Int. J. Hyg. Environ. Health 217:891-96
    • (2014) Int. J. Hyg. Environ. Health , vol.217 , pp. 891-896
    • Smolders, R.1    De Boever, P.2
  • 35
    • 84969721698 scopus 로고    scopus 로고
    • EARTO (Eur. Assoc. Res. Technol. Organ.)., Rep., Eur. Assoc. Res. Technol. Organ., Brussels, Belg
    • EARTO (Eur. Assoc. Res. Technol. Organ.). 2014. The TRL scale as a research & innovation policy tool, EARTO recommendations. Rep., Eur. Assoc. Res. Technol. Organ., Brussels, Belg. http://www.earto.eu/fileadmin/content/03_Publications/The_TRL_Scale_as_a_R_I_Policy_Tool_-_EARTO_Recommendations_-_Final.pdf
    • (2014) The TRL Scale As a Research & Innovation Policy Tool, EARTO Recommendations
  • 36
    • 85008324987 scopus 로고    scopus 로고
    • Exposure memory and lung regeneration
    • Go YM, Jones DP. 2016. Exposure memory and lung regeneration. Ann. Am. Thorac. Soc. 13:S452-61
    • (2016) Ann. Am. Thorac. Soc. , vol.13 , pp. S452-S461
    • Go, Y.M.1    Jones, D.P.2
  • 37
    • 84907166901 scopus 로고    scopus 로고
    • Human urinary biomarkers of dioxin exposure: Analysis by metabolomics and biologically driven data dimensionality reduction
    • Jeanneret F, Boccard J, Badoud F, Sorg O, Tonoli D, et al. 2014. Human urinary biomarkers of dioxin exposure: analysis by metabolomics and biologically driven data dimensionality reduction. Toxicol. Lett. 230:234-43
    • (2014) Toxicol. Lett. , vol.230 , pp. 234-243
    • Jeanneret, F.1    Boccard, J.2    Badoud, F.3    Sorg, O.4    Tonoli, D.5
  • 38
    • 33746091748 scopus 로고    scopus 로고
    • Epigenetics: The science of change
    • Weinhold B. 2006. Epigenetics: the science of change. Environ. Health Perspect. 114:A160-67
    • (2006) Environ. Health Perspect. , vol.114 , pp. A160-A167
    • Weinhold, B.1
  • 39
    • 27944493925 scopus 로고    scopus 로고
    • Scale-free networks in cell biology
    • Albert R. 2005. Scale-free networks in cell biology. J. Cell Sci. 118:4947-57
    • (2005) J. Cell Sci. , vol.118 , pp. 4947-4957
    • Albert, R.1
  • 41
    • 84949309848 scopus 로고    scopus 로고
    • Sequencing the exposome: A call to action
    • Jones DP. 2016. Sequencing the exposome: a call to action. Toxicol. Rep. 3:29-45
    • (2016) Toxicol. Rep. , vol.3 , pp. 29-45
    • Jones, D.P.1
  • 42
    • 84983283381 scopus 로고    scopus 로고
    • High-resolution metabolomics assessment of military personnel: Evaluating analytical strategies for chemical detection
    • Liu KH, Walker DI, Uppal K, Tran V, Rohrbeck P, et al. 2016. High-resolution metabolomics assessment of military personnel: evaluating analytical strategies for chemical detection. J. Occup. Environ. Med. 58:S53-61
    • (2016) J. Occup. Environ. Med. , vol.58 , pp. S53-S61
    • Liu, K.H.1    Walker, D.I.2    Uppal, K.3    Tran, V.4    Rohrbeck, P.5
  • 43
    • 85011872865 scopus 로고    scopus 로고
    • An untargeted metabolomics method for archived newborn dried blood spots in epidemiologic studies
    • Petrick L, Edmands W, Schiffman C, Grigoryan H, Perttula K, et al. 2017. An untargeted metabolomics method for archived newborn dried blood spots in epidemiologic studies. Metabolomics 13:27
    • (2017) Metabolomics , vol.13 , pp. 27
    • Petrick, L.1    Edmands, W.2    Schiffman, C.3    Grigoryan, H.4    Perttula, K.5
  • 44
    • 84861175881 scopus 로고    scopus 로고
    • High-performance metabolic profiling of plasma from seven mammalian species for simultaneous environmental chemical surveillance and bioeffect monitoring
    • Park YH, Lee K, Soltow QA, Strobel FH, Brigham KL, et al. 2012. High-performance metabolic profiling of plasma from seven mammalian species for simultaneous environmental chemical surveillance and bioeffect monitoring. Toxicology 295:47-55
    • (2012) Toxicology , vol.295 , pp. 47-55
    • Park, Y.H.1    Lee, K.2    Soltow, Q.A.3    Strobel, F.H.4    Brigham, K.L.5
  • 45
  • 47
    • 84955289208 scopus 로고    scopus 로고
    • Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring
    • Rager JE, Strynar MJ, Liang S, McMahen RL, Richard AM, et al. 2016. Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring. Environ. Int. 88:269-80
    • (2016) Environ. Int. , vol.88 , pp. 269-280
    • Rager, J.E.1    Strynar, M.J.2    Liang, S.3    McMahen, R.L.4    Richard, A.M.5
  • 48
    • 84894902321 scopus 로고    scopus 로고
    • Untargeted profiling of pesticide metabolites by LC-HRMS: An exposomics tool for human exposure evaluation
    • Jamin EL, Bonvallot N, Tremblay-Franco M, Cravedi JP, Chevrier C, et al. 2014. Untargeted profiling of pesticide metabolites by LC-HRMS: an exposomics tool for human exposure evaluation. Anal. Bioanal. Chem. 406:1149-61
    • (2014) Anal. Bioanal. Chem. , vol.406 , pp. 1149-1161
    • Jamin, E.L.1    Bonvallot, N.2    Tremblay-Franco, M.3    Cravedi, J.P.4    Chevrier, C.5
  • 49
    • 84916212790 scopus 로고    scopus 로고
    • Comprehensive analytical strategy for biomonitoring of pesticides in urine by liquid chromatography-orbitrap high resolution mass spectrometry
    • Roca M, Leon N, Pastor A, Yusa V. 2014. Comprehensive analytical strategy for biomonitoring of pesticides in urine by liquid chromatography-orbitrap high resolution mass spectrometry. J. Chromatogr. A 1374:66-76
    • (2014) J. Chromatogr. A , vol.1374 , pp. 66-76
    • Roca, M.1    Leon, N.2    Pastor, A.3    Yusa, V.4
  • 50
    • 85032827788 scopus 로고    scopus 로고
    • The saliva exposome for monitoring of individuals' health trajectories
    • Bessonneau V, Pawliszyn J, Rappaport SM. 2017. The saliva exposome for monitoring of individuals' health trajectories. Environ. Health Perspect. 125:077014
    • (2017) Environ. Health Perspect. , vol.125 , pp. 077014
    • Bessonneau, V.1    Pawliszyn, J.2    Rappaport, S.M.3
  • 51
    • 84877957719 scopus 로고    scopus 로고
    • Metabolomics tools for describing complex pesticide exposure in pregnant women in Brittany (France)
    • Bonvallot N, Tremblay-Franco M, Chevrier C, Canlet C, Warembourg C, et al. 2013. Metabolomics tools for describing complex pesticide exposure in pregnant women in Brittany (France). PLOS ONE 8:e64433
    • (2013) PLOS ONE , vol.8 , pp. e64433
    • Bonvallot, N.1    Tremblay-Franco, M.2    Chevrier, C.3    Canlet, C.4    Warembourg, C.5
  • 52
    • 84982743518 scopus 로고    scopus 로고
    • Changes in the metabolome in response to low-dose exposure to environmental chemicals used in personal care products during different windows of susceptibility
    • Houten SM, Chen J, Belpoggi F, Manservisi F, Sanchez-Guijo A, et al. 2016. Changes in the metabolome in response to low-dose exposure to environmental chemicals used in personal care products during different windows of susceptibility. PLOS ONE 11:e0159919
    • (2016) PLOS ONE , vol.11 , pp. e0159919
    • Houten, S.M.1    Chen, J.2    Belpoggi, F.3    Manservisi, F.4    Sanchez-Guijo, A.5
  • 53
    • 84990840611 scopus 로고    scopus 로고
    • Metabolomic responses to sublethal contaminant exposure in neonate and adult Daphnia magna
    • Wagner ND, Simpson AJ, Simpson MJ. 2017. Metabolomic responses to sublethal contaminant exposure in neonate and adult Daphnia magna. Environ. Toxicol. Chem. 36:938-46
    • (2017) Environ. Toxicol. Chem. , vol.36 , pp. 938-946
    • Wagner, N.D.1    Simpson, A.J.2    Simpson, M.J.3
  • 54
    • 85019745375 scopus 로고    scopus 로고
    • Urinary metabolomic profiling in rats exposed to dietary di(2-ethylhexyl) phthalate (DEHP) using ultra-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry (UPLC/Q-TOF-MS)
    • Dong X, Zhang Y, Dong J, Zhao Y, Guo J, et al. 2017. Urinary metabolomic profiling in rats exposed to dietary di(2-ethylhexyl) phthalate (DEHP) using ultra-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry (UPLC/Q-TOF-MS). Environ. Sci. Pollut. Res. Int. 24:16659-72
    • (2017) Environ. Sci. Pollut. Res. Int. , vol.24 , pp. 16659-16672
    • Dong, X.1    Zhang, Y.2    Dong, J.3    Zhao, Y.4    Guo, J.5
  • 55
    • 85036534331 scopus 로고    scopus 로고
    • Exposome-scale investigations guided by global metabolomics, pathway analysis, and cognitive computing
    • Warth B, Spangler S, Fang M, Johnson CH, Forsberg EM, et al. 2017. Exposome-scale investigations guided by global metabolomics, pathway analysis, and cognitive computing. Anal. Chem. 89:11505-13
    • (2017) Anal. Chem. , vol.89 , pp. 11505-11513
    • Warth, B.1    Spangler, S.2    Fang, M.3    Johnson, C.H.4    Forsberg, E.M.5
  • 56
    • 85016827591 scopus 로고    scopus 로고
    • Serum metabolomic profiles in neonatal mice following oral brominated flame retardant exposures to hexabromocyclododecane (HBCD) alpha, gamma, and commercial mixture
    • Szabo DT, Pathmasiri W, Sumner S, Birnbaum LS. 2017. Serum metabolomic profiles in neonatal mice following oral brominated flame retardant exposures to hexabromocyclododecane (HBCD) alpha, gamma, and commercial mixture. Environ. Health Perspect. 125:651-59
    • (2017) Environ. Health Perspect. , vol.125 , pp. 651-659
    • Szabo, D.T.1    Pathmasiri, W.2    Sumner, S.3    Birnbaum, L.S.4
  • 57
    • 84946895884 scopus 로고    scopus 로고
    • Dioxin-produced alteration in the profiles of fecal and urinary metabolomes: A change in bile acids and its relevance to toxicity
    • Kakizuka S, Takeda T, Komiya Y, Koba A, Uchi H, et al. 2015. Dioxin-produced alteration in the profiles of fecal and urinary metabolomes: a change in bile acids and its relevance to toxicity. Biol. Pharm. Bull. 38:1484-95
    • (2015) Biol. Pharm. Bull. , vol.38 , pp. 1484-1495
    • Kakizuka, S.1    Takeda, T.2    Komiya, Y.3    Koba, A.4    Uchi, H.5
  • 58
    • 84936984476 scopus 로고    scopus 로고
    • Metabolomics reveals that aryl hydrocarbon receptor activation by environmental chemicals induces systemic metabolic dysfunction in mice
    • Zhang L, Hatzakis E, Nichols RG, Hao R, Correll J, et al. 2015. Metabolomics reveals that aryl hydrocarbon receptor activation by environmental chemicals induces systemic metabolic dysfunction in mice. Environ. Sci. Technol. 49:8067-77
    • (2015) Environ. Sci. Technol. , vol.49 , pp. 8067-8077
    • Zhang, L.1    Hatzakis, E.2    Nichols, R.G.3    Hao, R.4    Correll, J.5
  • 59
    • 84983335294 scopus 로고    scopus 로고
    • Pilot metabolome-wide association study of benzo(a)pyrene in serum from military personnel
    • Walker DI, Pennell KD, Uppal K, Xia X, Hopke PK, et al. 2016. Pilot metabolome-wide association study of benzo(a)pyrene in serum from military personnel. J. Occup. Environ. Med. 58:S44-52
    • (2016) J. Occup. Environ. Med. , vol.58 , pp. S44-S52
    • Walker, D.I.1    Pennell, K.D.2    Uppal, K.3    Xia, X.4    Hopke, P.K.5
  • 60
    • 84994045460 scopus 로고    scopus 로고
    • Associations among plasma metabolite levels and short-term exposure to PM2.5 and ozone in a cardiac catheterization cohort
    • Breitner S, Schneider A, Devlin RB, Ward-Caviness CK, Diaz-Sanchez D, et al. 2016. Associations among plasma metabolite levels and short-term exposure to PM2. 5 and ozone in a cardiac catheterization cohort. Environ. Int. 97:76-84
    • (2016) Environ. Int. , vol.97 , pp. 76-84
    • Breitner, S.1    Schneider, A.2    Devlin, R.B.3    Ward-Caviness, C.K.4    Diaz-Sanchez, D.5
  • 61
    • 84930608884 scopus 로고    scopus 로고
    • Human metabolic responses to chronic environmental polycyclic aromatic hydrocarbon exposure by a metabolomic approach
    • Wang Z, Zheng Y, Zhao B, Zhang Y, Liu Z, et al. 2015. Human metabolic responses to chronic environmental polycyclic aromatic hydrocarbon exposure by a metabolomic approach. J. Proteome Res. 14:2583-93
    • (2015) J. Proteome Res. , vol.14 , pp. 2583-2593
    • Wang, Z.1    Zheng, Y.2    Zhao, B.3    Zhang, Y.4    Liu, Z.5
  • 62
    • 84897474015 scopus 로고    scopus 로고
    • Metabonomic analysis of serum of workers occupationally exposed to arsenic, cadmium and lead for biomarker research: A preliminary study
    • Dudka I, Kossowska B, Senhadri H, Latajka R, Hajek J, et al. 2014. Metabonomic analysis of serum of workers occupationally exposed to arsenic, cadmium and lead for biomarker research: a preliminary study. Environ. Int. 68:71-81
    • (2014) Environ. Int. , vol.68 , pp. 71-81
    • Dudka, I.1    Kossowska, B.2    Senhadri, H.3    Latajka, R.4    Hajek, J.5
  • 63
    • 85006176219 scopus 로고    scopus 로고
    • Untargeted metabolomic analysis of human serum samples associated with exposure levels of persistent organic pollutants indicate important perturbations in sphingolipids and glycerophospholipids levels
    • Carrizo D, Chevallier OP, Woodside JV, Brennan SF, Cantwell MM, et al. 2017. Untargeted metabolomic analysis of human serum samples associated with exposure levels of persistent organic pollutants indicate important perturbations in sphingolipids and glycerophospholipids levels. Chemosphere 168:731-38
    • (2017) Chemosphere , vol.168 , pp. 731-738
    • Carrizo, D.1    Chevallier, O.P.2    Woodside, J.V.3    Brennan, S.F.4    Cantwell, M.M.5
  • 64
    • 84992416941 scopus 로고    scopus 로고
    • Biofluid metabotyping of occupation-ally exposed subjects to air pollution demonstrates high oxidative stress and deregulated amino acid metabolism
    • Pradhan SN, Das A, Meena R, Nanda RK, Rajamani P. 2016. Biofluid metabotyping of occupation-ally exposed subjects to air pollution demonstrates high oxidative stress and deregulated amino acid metabolism. Sci. Rep. 6:35972
    • (2016) Sci. Rep. , vol.6 , pp. 35972
    • Pradhan, S.N.1    Das, A.2    Meena, R.3    Nanda, R.K.4    Rajamani, P.5
  • 65
    • 85020261259 scopus 로고    scopus 로고
    • Serum metabolome biomarkers associate low-level environmental perfluorinated compound exposure with oxidative/nitrosative stress in humans
    • Wang X, Liu L, Zhang W, Zhang J, Du X, et al. 2017. Serum metabolome biomarkers associate low-level environmental perfluorinated compound exposure with oxidative/nitrosative stress in humans. Environ. Pollut. 229:168-76
    • (2017) Environ. Pollut. , vol.229 , pp. 168-176
    • Wang, X.1    Liu, L.2    Zhang, W.3    Zhang, J.4    Du, X.5
  • 66
    • 85034849055 scopus 로고    scopus 로고
    • Effects of exposure to water disinfection by-products in a swimming pool: A metabolome-wide association study
    • van Veldhoven K, Keski-Rahkonen P, Barupal DK, Villanueva CM, Font-Ribera L, et al. 2018. Effects of exposure to water disinfection by-products in a swimming pool: a metabolome-wide association study. Environ. Int. 111:60-70
    • (2018) Environ. Int. , vol.111 , pp. 60-70
    • Van Veldhoven, K.1    Keski-Rahkonen, P.2    Barupal, D.K.3    Villanueva, C.M.4    Font-Ribera, L.5
  • 67
    • 85026350303 scopus 로고    scopus 로고
    • Low-level maternal exposure to nicotine associates with significant metabolic perturbations in second-trimester amniotic fluid
    • Fischer ST, Lili LN, Li S, Tran VT, Stewart KB, et al. 2017. Low-level maternal exposure to nicotine associates with significant metabolic perturbations in second-trimester amniotic fluid. Environ. Int. 107:227-34
    • (2017) Environ. Int. , vol.107 , pp. 227-234
    • Fischer, S.T.1    Lili, L.N.2    Li, S.3    Tran, V.T.4    Stewart, K.B.5
  • 68
    • 85013439673 scopus 로고    scopus 로고
    • Linking sources to early effects by profiling urine metabolome of residents living near oil refineries and coal-fired power plants
    • Chen CS, Yuan TH, Shie RH, Wu KY, Chan CC. 2017. Linking sources to early effects by profiling urine metabolome of residents living near oil refineries and coal-fired power plants. Environ. Int. 102:87-96
    • (2017) Environ. Int. , vol.102 , pp. 87-96
    • Chen, C.S.1    Yuan, T.H.2    Shie, R.H.3    Wu, K.Y.4    Chan, C.C.5
  • 72
    • 84949778743 scopus 로고    scopus 로고
    • Gene-expression profiling of buccal epithelium among non-smoking women exposed to household air pollution from smoky coal
    • Wang TW, Vermeulen RC, Hu W, Liu G, Xiao X, et al. 2015. Gene-expression profiling of buccal epithelium among non-smoking women exposed to household air pollution from smoky coal. Carcinogenesis 36:1494-501
    • (2015) Carcinogenesis , vol.36 , pp. 1494-1501
    • Wang, T.W.1    Vermeulen, R.C.2    Hu, W.3    Liu, G.4    Xiao, X.5
  • 73
    • 84994059791 scopus 로고    scopus 로고
    • Gene expression network analyses in response to air pollution exposures in the trucking industry
    • Chu JH, Hart JE, Chhabra D, Garshick E, Raby BA, Laden F. 2016. Gene expression network analyses in response to air pollution exposures in the trucking industry. Environ. Health 15:101
    • (2016) Environ. Health , vol.15 , pp. 101
    • Chu, J.H.1    Hart, J.E.2    Chhabra, D.3    Garshick, E.4    Raby, B.A.5    Laden, F.6
  • 74
    • 37349020973 scopus 로고    scopus 로고
    • Activation of inflammation/NF-KB signaling in infants born to arsenic-exposed mothers
    • Fry RC, Navasumrit P, Valiathan C, Svensson JP, Hogan BJ, et al. 2007. Activation of inflammation/NF-KB signaling in infants born to arsenic-exposed mothers. PLOS Genet. 3:e207
    • (2007) PLOS Genet. , vol.3 , pp. e207
    • Fry, R.C.1    Navasumrit, P.2    Valiathan, C.3    Svensson, J.P.4    Hogan, B.J.5
  • 75
    • 3042719079 scopus 로고    scopus 로고
    • Effects of cigarette smoke on the human airway epithelial cell transcriptome
    • Spira A, Beane J, Shah V, Liu G, Schembri F, et al. 2004. Effects of cigarette smoke on the human airway epithelial cell transcriptome. PNAS 101:10143-48
    • (2004) PNAS , vol.101 , pp. 10143-10148
    • Spira, A.1    Beane, J.2    Shah, V.3    Liu, G.4    Schembri, F.5
  • 76
    • 61849158240 scopus 로고    scopus 로고
    • Changes in the peripheral blood transcrip-tome associated with occupational benzene exposure identified by cross-comparison on two microarray platforms
    • McHale CM, Zhang L, Lan Q, Li G, Hubbard AE, et al. 2009. Changes in the peripheral blood transcrip-tome associated with occupational benzene exposure identified by cross-comparison on two microarray platforms. Genomics 93:343-49
    • (2009) Genomics , vol.93 , pp. 343-349
    • McHale, C.M.1    Zhang, L.2    Lan, Q.3    Li, G.4    Hubbard, A.E.5
  • 77
    • 85042338990 scopus 로고    scopus 로고
    • RNA-Seq of human neural progenitor cells exposed to lead (Pb) reveals transcriptome dynamics, splicing alterations and disease risk associations
    • Jiang P, Hou Z, Bolin JM, Thomson JA, Stewart R. 2017. RNA-Seq of human neural progenitor cells exposed to lead (Pb) reveals transcriptome dynamics, splicing alterations and disease risk associations. Toxicol. Sci. 159:251-65
    • (2017) Toxicol. Sci. , vol.159 , pp. 251-265
    • Jiang, P.1    Hou, Z.2    Bolin, J.M.3    Thomson, J.A.4    Stewart, R.5
  • 78
    • 85026447383 scopus 로고    scopus 로고
    • Identification of RNA biomarkers for chemical safety screening in mouse embryonic stem cells using RNA deep sequencing analysis
    • Tani H, Takeshita JI, Aoki H, Nakamura K, Abe R, et al. 2017. Identification of RNA biomarkers for chemical safety screening in mouse embryonic stem cells using RNA deep sequencing analysis. PLOS ONE 12:e0182032
    • (2017) PLOS ONE , vol.12 , pp. e0182032
    • Tani, H.1    Takeshita, J.I.2    Aoki, H.3    Nakamura, K.4    Abe, R.5
  • 79
    • 84983425959 scopus 로고    scopus 로고
    • RNA-sequencing analysis reveals the hepatotoxic mechanism of perfluoroalkyl alternatives, HFPO2 and HFPO4, following exposure in mice
    • Wang J, Wang X, Sheng N, Zhou X, Cui R, et al. 2017. RNA-sequencing analysis reveals the hepatotoxic mechanism of perfluoroalkyl alternatives, HFPO2 and HFPO4, following exposure in mice. J. Appl. Toxicol. 37:436-44
    • (2017) J. Appl. Toxicol. , vol.37 , pp. 436-444
    • Wang, J.1    Wang, X.2    Sheng, N.3    Zhou, X.4    Cui, R.5
  • 80
    • 85041573348 scopus 로고    scopus 로고
    • Systems analysis of the liver transcriptome in adult male zebrafish exposed to the plasticizer (2-ethylhexyl) phthalate (DEHP)
    • Huff M, da Silveira WA, Carnevali O, Renaud L, Hardiman G. 2018. Systems analysis of the liver transcriptome in adult male zebrafish exposed to the plasticizer (2-ethylhexyl) phthalate (DEHP). Sci. Rep. 8:2118
    • (2018) Sci. Rep. , vol.8 , pp. 2118
    • Huff, M.1    Da Silveira, W.A.2    Carnevali, O.3    Renaud, L.4    Hardiman, G.5
  • 82
    • 33644963942 scopus 로고    scopus 로고
    • Multiplex bead array assays: Performance evaluation and comparison of sensitivity to ELISA
    • Elshal MF, McCoy JP. 2006. Multiplex bead array assays: performance evaluation and comparison of sensitivity to ELISA. Methods 38:317-23
    • (2006) Methods , vol.38 , pp. 317-323
    • Elshal, M.F.1    McCoy, J.P.2
  • 84
    • 85032729065 scopus 로고    scopus 로고
    • Occupational exposure to diesel engine exhaust and alterations in immune/inflammatory markers: A cross-sectional molecular epidemiology study in China
    • Bassig BA, Dai Y, Vermeulen R, Ren D, Hu W, et al. 2017. Occupational exposure to diesel engine exhaust and alterations in immune/inflammatory markers: a cross-sectional molecular epidemiology study in China. Carcinogenesis 38:1104-11
    • (2017) Carcinogenesis , vol.38 , pp. 1104-1111
    • Bassig, B.A.1    Dai, Y.2    Vermeulen, R.3    Ren, D.4    Hu, W.5
  • 85
    • 85032444297 scopus 로고    scopus 로고
    • A prospective study of immune and inflammation markers and risk of lung cancer among female never smokers in Shanghai
    • Shiels MS, Shu XO, Chaturvedi AK, Gao YT, Xiang YB, et al. 2017. A prospective study of immune and inflammation markers and risk of lung cancer among female never smokers in Shanghai. Carcinogenesis 38:1004-10
    • (2017) Carcinogenesis , vol.38 , pp. 1004-1010
    • Shiels, M.S.1    Shu, X.O.2    Chaturvedi, A.K.3    Gao, Y.T.4    Xiang, Y.B.5
  • 86
    • 84983350360 scopus 로고    scopus 로고
    • Detection of serum microRNAs from Department of Defense Serum Repository: Correlation with cotinine, cytokine, and polycyclic aromatic hydrocarbon levels
    • Woeller CF, Thatcher TH, Van Twisk D, Pollock SJ, Croasdell A, et al. 2016. Detection of serum microRNAs from Department of Defense Serum Repository: correlation with cotinine, cytokine, and polycyclic aromatic hydrocarbon levels. J. Occup. Environ. Med. 58:S62-71
    • (2016) J. Occup. Environ. Med. , vol.58 , pp. S62-S71
    • Woeller, C.F.1    Thatcher, T.H.2    Van Twisk, D.3    Pollock, S.J.4    Croasdell, A.5
  • 87
    • 67651173106 scopus 로고    scopus 로고
    • Proteomics by mass spectrometry: Approaches, advances, and applications
    • Yates JR, Ruse CI, Nakorchevsky A. 2009. Proteomics by mass spectrometry: approaches, advances, and applications. Annu. Rev. Biomed. Eng. 11:49-79
    • (2009) Annu. Rev. Biomed. Eng. , vol.11 , pp. 49-79
    • Yates, J.R.1    Ruse, C.I.2    Nakorchevsky, A.3
  • 89
    • 84993964534 scopus 로고    scopus 로고
    • Adductomics pipeline for untargeted analysis of modifications to Cys34 of human serum albumin
    • Grigoryan H, Edmands W, Lu SS, Yano Y, Regazzoni L, et al. 2016. Adductomics pipeline for untargeted analysis of modifications to Cys34 of human serum albumin. Anal. Chem. 88:10504-12
    • (2016) Anal. Chem. , vol.88 , pp. 10504-10512
    • Grigoryan, H.1    Edmands, W.2    Lu, S.S.3    Yano, Y.4    Regazzoni, L.5
  • 90
    • 85042255840 scopus 로고    scopus 로고
    • Cys34 adductomes differ between patients with chronic lung or heart disease and healthy controls in central London
    • Liu S, Grigoryan H, Edmands WMB, Dagnino S, Sinharay R, et al. 2018. Cys34 adductomes differ between patients with chronic lung or heart disease and healthy controls in central London. Environ. Sci. Technol. 52:2307-13
    • (2018) Environ. Sci. Technol. , vol.52 , pp. 2307-2313
    • Liu, S.1    Grigoryan, H.2    Edmands, W.M.B.3    Dagnino, S.4    Sinharay, R.5
  • 91
    • 85021856582 scopus 로고    scopus 로고
    • Profiling the serum albumin Cys34 adductome of solid fuel users in Xuanwei and Fuyuan, China
    • Lu SS, Grigoryan H, Edmands WM, Hu W, Iavarone AT, et al. 2017. Profiling the serum albumin Cys34 adductome of solid fuel users in Xuanwei and Fuyuan, China. Environ. Sci. Technol. 51:46-57
    • (2017) Environ. Sci. Technol. , vol.51 , pp. 46-57
    • Lu, S.S.1    Grigoryan, H.2    Edmands, W.M.3    Hu, W.4    Iavarone, A.T.5
  • 93
    • 84894030075 scopus 로고    scopus 로고
    • Redox biology: Interface of the exposome with the proteome, epigenome and genome
    • Go YM, Jones DP. 2014. Redox biology: interface of the exposome with the proteome, epigenome and genome. Redox Biol. 2:358-60
    • (2014) Redox Biol. , vol.2 , pp. 358-360
    • Go, Y.M.1    Jones, D.P.2
  • 94
    • 84943767453 scopus 로고    scopus 로고
    • DNA methylation levels and long-term trihalomethane exposure in drinking water: An epigenome-wide association study
    • Salas LA, Bustamante M, Gonzalez JR, Gracia-Lavedan E, Moreno V, et al. 2015. DNA methylation levels and long-term trihalomethane exposure in drinking water: an epigenome-wide association study. Epigenetics 10:650-61
    • (2015) Epigenetics , vol.10 , pp. 650-661
    • Salas, L.A.1    Bustamante, M.2    Gonzalez, J.R.3    Gracia-Lavedan, E.4    Moreno, V.5
  • 95
    • 84923036855 scopus 로고    scopus 로고
    • Prenatal exposure to maternal cigarette smoking and DNA methylation: Epigenome-wide association in a discovery sample of adolescents and replicationinan independent cohortatbirth through 17 years ofage
    • Lee KW, Richmond R, Hu P, French L, Shin J, et al. 2015. Prenatal exposure to maternal cigarette smoking and DNA methylation: epigenome-wide association in a discovery sample of adolescents and replicationinan independent cohortatbirth through 17 years ofage. Environ. Health Perspect. 123:193-99
    • (2015) Environ. Health Perspect. , vol.123 , pp. 193-199
    • Lee, K.W.1    Richmond, R.2    Hu, P.3    French, L.4    Shin, J.5
  • 96
    • 33847026146 scopus 로고    scopus 로고
    • Changes in DNA methylation patterns in subjects exposed to low-dose benzene
    • Bollati V, Baccarelli A, Hou L, Bonzini M, Fustinoni S, et al. 2007. Changes in DNA methylation patterns in subjects exposed to low-dose benzene. Cancer Res. 67:876-80
    • (2007) Cancer Res. , vol.67 , pp. 876-880
    • Bollati, V.1    Baccarelli, A.2    Hou, L.3    Bonzini, M.4    Fustinoni, S.5
  • 97
    • 84903816327 scopus 로고    scopus 로고
    • Epigenome-wide DNA methylation changes with development of arsenic-induced skin lesions in Bangladesh: A case-control follow-up study
    • Seow WJ, Kile ML, Baccarelli AA, Pan WC, Byun HM, et al. 2014. Epigenome-wide DNA methylation changes with development of arsenic-induced skin lesions in Bangladesh: a case-control follow-up study. Environ. Mol. Mutagen. 55:449-56
    • (2014) Environ. Mol. Mutagen. , vol.55 , pp. 449-456
    • Seow, W.J.1    Kile, M.L.2    Baccarelli, A.A.3    Pan, W.C.4    Byun, H.M.5
  • 98
    • 84863338135 scopus 로고    scopus 로고
    • Environmental chemical exposures and human epigenetics
    • Hou L, Zhang X, Wang D, Baccarelli A. 2012. Environmental chemical exposures and human epigenetics. Int. J. Epidemiol. 41:79-105
    • (2012) Int. J. Epidemiol. , vol.41 , pp. 79-105
    • Hou, L.1    Zhang, X.2    Wang, D.3    Baccarelli, A.4
  • 99
    • 84926470294 scopus 로고    scopus 로고
    • Dynamics of smoking-induced genome-wide methylation changes with time since smoking cessation
    • Guida F, Sandanger TM, Castagne R, Campanella G, Polidoro S, et al. 2015. Dynamics of smoking-induced genome-wide methylation changes with time since smoking cessation. Hum. Mol. Genet. 24:2349-59
    • (2015) Hum. Mol. Genet. , vol.24 , pp. 2349-2359
    • Guida, F.1    Sandanger, T.M.2    Castagne, R.3    Campanella, G.4    Polidoro, S.5
  • 100
    • 85041389744 scopus 로고    scopus 로고
    • Cadmium-associated differential methylation throughout the placental genome: Epigenome-wide association study of two U. S. birth cohorts
    • Everson TM, Punshon T, Jackson BP, Hao K, Lambertini L, et al. 2018. Cadmium-associated differential methylation throughout the placental genome: epigenome-wide association study of two U. S. birth cohorts. Environ. Health Perspect. 126:017010
    • (2018) Environ. Health Perspect. , vol.126 , pp. 017010
    • Everson, T.M.1    Punshon, T.2    Jackson, B.P.3    Hao, K.4    Lambertini, L.5
  • 101
    • 85018246986 scopus 로고    scopus 로고
    • High-resolution metabolomics of occupational exposure to trichloroethylene
    • Walker DI, Uppal K, Zhang L, Vermeulen R, Smith M, et al. 2016. High-resolution metabolomics of occupational exposure to trichloroethylene. Int. J. Epidemiol. 45:1517-27
    • (2016) Int. J. Epidemiol. , vol.45 , pp. 1517-1527
    • Walker, D.I.1    Uppal, K.2    Zhang, L.3    Vermeulen, R.4    Smith, M.5
  • 102
    • 85042555096 scopus 로고    scopus 로고
    • XMWAS: A data-driven integration and differential network analysis tool
    • Uppal K, Ma C, Go YM, Jones DP, Wren J. 2018. xMWAS: a data-driven integration and differential network analysis tool. Bioinformatics 34:701-2
    • (2018) Bioinformatics , vol.34 , pp. 701-702
    • Uppal, K.1    Ma, C.2    Go, Y.M.3    Jones, D.P.4    Wren, J.5
  • 103
    • 85019123763 scopus 로고    scopus 로고
    • Metabolic phenotypes of response to vaccination in humans
    • Li S, Sullivan NL, Rouphael N, Yu T, Banton S, et al. 2017. Metabolic phenotypes of response to vaccination in humans. Cell 169:862-77
    • (2017) Cell , vol.169 , pp. 862-877
    • Li, S.1    Sullivan, N.L.2    Rouphael, N.3    Yu, T.4    Banton, S.5
  • 106
    • 77956328401 scopus 로고    scopus 로고
    • Metabolic profiling and the metabolome-wide association study: Significance level for biomarker identification
    • Chadeau-Hyam M, Ebbels TM, Brown IJ, Chan Q, Stamler J, et al. 2010. Metabolic profiling and the metabolome-wide association study: significance level for biomarker identification. J. Proteome Res. 9:4620-27
    • (2010) J. Proteome Res. , vol.9 , pp. 4620-4627
    • Chadeau-Hyam, M.1    Ebbels, T.M.2    Brown, I.J.3    Chan, Q.4    Stamler, J.5
  • 108
    • 85002960866 scopus 로고    scopus 로고
    • A systematic comparison of linear regression-based statistical methods to assess exposome-health associations
    • Agier L, Portengen L, Chadeau-Hyam M, Basagana X, Giorgis-Allemand L, et al. 2016. A systematic comparison of linear regression-based statistical methods to assess exposome-health associations. Environ. Health Perspect. 124:1848-56
    • (2016) Environ. Health Perspect. , vol.124 , pp. 1848-1856
    • Agier, L.1    Portengen, L.2    Chadeau-Hyam, M.3    Basagana, X.4    Giorgis-Allemand, L.5
  • 109
    • 33748804424 scopus 로고    scopus 로고
    • A tutorial on statistical methods for population association studies
    • Balding DJ. 2006. A tutorial on statistical methods for population association studies. Nat. Rev. Genet. 7:781-91
    • (2006) Nat. Rev. Genet. , vol.7 , pp. 781-791
    • Balding, D.J.1
  • 110
    • 84882254552 scopus 로고    scopus 로고
    • Deciphering the complex: Methodological overview of statistical models to derive OMICS-based biomarkers
    • Chadeau-Hyam M, Campanella G, Jombart T, Bottolo L, Portengen L, et al. 2013. Deciphering the complex: methodological overview of statistical models to derive OMICS-based biomarkers. Environ. Mol. Mutagen. 54:542-57
    • (2013) Environ. Mol. Mutagen. , vol.54 , pp. 542-557
    • Chadeau-Hyam, M.1    Campanella, G.2    Jombart, T.3    Bottolo, L.4    Portengen, L.5
  • 111
  • 112
    • 85041110991 scopus 로고    scopus 로고
    • Improving visualization and interpretation of metabolome-wide association studies: An application in a population-based cohort using untargeted 1H NMR metabolic profiling
    • Castagne R, Boulange CL, Karaman I, Campanella G, Santos Ferreira DL, et al. 2017. Improving visualization and interpretation of metabolome-wide association studies: an application in a population-based cohort using untargeted 1H NMR metabolic profiling. J. Proteome Res. 16:3623-33
    • (2017) J. Proteome Res. , vol.16 , pp. 3623-3633
    • Castagne, R.1    Boulange, C.L.2    Karaman, I.3    Campanella, G.4    Santos Ferreira, D.L.5
  • 114
    • 0001681052 scopus 로고
    • The collinearity problem in linear-regression-the partial least-squares (PLS) approach to generalized inverses
    • Wold S, Ruhe A, Wold H, Dunn WJ. 1984. The collinearity problem in linear-regression-the partial least-squares (PLS) approach to generalized inverses. SIAM J. Sci. Stat. Comput. 5:735-43
    • (1984) SIAM J. Sci. Stat. Comput. , vol.5 , pp. 735-743
    • Wold, S.1    Ruhe, A.2    Wold, H.3    Dunn, W.J.4
  • 115
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani R. 1996. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. B 58:267-88
    • (1996) J. R. Stat. Soc. B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 116
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • Zou H, Hastie T. 2005. Regularization and variable selection via the elastic net. J. R. Stat. Soc. B 67:301-20
    • (2005) J. R. Stat. Soc. B , vol.67 , pp. 301-320
    • Zou, H.1    Hastie, T.2
  • 118
    • 74049093630 scopus 로고    scopus 로고
    • Sparse partial least squares regression for simultaneous dimension reduction and variable selection
    • Chun H, Keles S. 2010. Sparse partial least squares regression for simultaneous dimension reduction and variable selection. J. R. Stat. Soc. Ser. B 72:3-25
    • (2010) J. R. Stat. Soc. Ser. B , vol.72 , pp. 3-25
    • Chun, H.1    Keles, S.2
  • 119
    • 79951533215 scopus 로고    scopus 로고
    • ESS++: A C++ objected-oriented algorithm for Bayesian stochastic search model exploration
    • Bottolo L, Chadeau-Hyam M, Hastie DI, Langley SR, Petretto E, et al. 2011. ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration. Bioinformatics 27:587-88
    • (2011) Bioinformatics , vol.27 , pp. 587-588
    • Bottolo, L.1    Chadeau-Hyam, M.2    Hastie, D.I.3    Langley, S.R.4    Petretto, E.5
  • 120
    • 82955223524 scopus 로고    scopus 로고
    • Bayesian variable selection regression for genome-wide association studies and other large-scale problems
    • Guan YT, Stephens M. 2011. Bayesian variable selection regression for genome-wide association studies and other large-scale problems. Ann. Appl. Stat. 5:1780-815
    • (2011) Ann. Appl. Stat. , vol.5 , pp. 1780-1815
    • Guan, Y.T.1    Stephens, M.2
  • 121
    • 34250747348 scopus 로고    scopus 로고
    • Shotgun stochastic search for "large p" regression
    • Hans C, Dobra A, West M. 2007. Shotgun stochastic search for "large p" regression. J. Am. Stat. Assoc. 102:507-16
    • (2007) J. Am. Stat. Assoc. , vol.102 , pp. 507-516
    • Hans, C.1    Dobra, A.2    West, M.3
  • 122
    • 84956938744 scopus 로고    scopus 로고
    • R2GUESS: A graphics processing unit-based R package for Bayesian variable selection regression of multivariate responses
    • Liquet B, Bottolo L, Campanella G, Richardson S, Chadeau-Hyam M. 2016. R2GUESS: a graphics processing unit-based R package for Bayesian variable selection regression of multivariate responses. J. Stat. Softw. 69:1-32
    • (2016) J. Stat. Softw. , vol.69 , pp. 1-32
    • Liquet, B.1    Bottolo, L.2    Campanella, G.3    Richardson, S.4    Chadeau-Hyam, M.5
  • 123
    • 84855452259 scopus 로고    scopus 로고
    • Estimating the healtheffectsofexposure to multi-pollutant mixture
    • Billionnet C, Sherrill D, Annesi-Maesano I, GERIE Study. 2012. Estimating the healtheffectsofexposure to multi-pollutant mixture. Ann. Epidemiol. 22:126-41
    • (2012) Ann. Epidemiol. , vol.22 , pp. 126-141
    • Billionnet, C.1    Sherrill, D.2    Annesi-Maesano, I.3
  • 124
    • 85024374545 scopus 로고    scopus 로고
    • Analytic complexity and challenges in identifying mixtures of exposures associated with phenotypes in the exposome era
    • Patel CJ. 2017. Analytic complexity and challenges in identifying mixtures of exposures associated with phenotypes in the exposome era. Curr. Epidemiol. Rep. 4:22-30
    • (2017) Curr. Epidemiol. Rep. , vol.4 , pp. 22-30
    • Patel, C.J.1
  • 125
    • 84886541634 scopus 로고    scopus 로고
    • Statistical strategies for constructing health risk models with multiple pollutants and their interactions: Possible choices and comparisons
    • Sun Z, Tao Y, Li S, Ferguson KK, Meeker JD, et al. 2013. Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons. Environ. Health 12:85
    • (2013) Environ. Health , vol.12 , pp. 85
    • Sun, Z.1    Tao, Y.2    Li, S.3    Ferguson, K.K.4    Meeker, J.D.5
  • 126
    • 84952685616 scopus 로고    scopus 로고
    • What can epidemiological studies tell us about the impact of chemical mixtures on human health? Environ
    • Braun JM, Gennings C, Hauser R, Webster TF. 2016. What can epidemiological studies tell us about the impact of chemical mixtures on human health? Environ. Health Perspect. 124:A6-9
    • (2016) Health Perspect. , vol.124 , pp. A6-A9
    • Braun, J.M.1    Gennings, C.2    Hauser, R.3    Webster, T.F.4
  • 127
    • 85056182443 scopus 로고    scopus 로고
    • A multivariate approach to investigate the combined biological effects of multiple exposures J
    • Jain P, Vineis P, Liquet B, Vlaanderen J, Bodinier B, et al. 2017. A multivariate approach to investigate the combined biological effects of multiple exposures J. Epidemiol. Community Health 72:564-71
    • (2017) Epidemiol. Community Health , vol.72 , pp. 564-571
    • Jain, P.1    Vineis, P.2    Liquet, B.3    Vlaanderen, J.4    Bodinier, B.5
  • 128
    • 85016166168 scopus 로고    scopus 로고
    • Expansion of the Gene Ontology knowledgebase and resources
    • Gene Ontol. Consort. 2017. Expansion of the Gene Ontology knowledgebase and resources. Nucleic Acids Res. 45:D331-38
    • (2017) Nucleic Acids Res. , vol.45 , pp. D331-D338
  • 130
    • 61449172037 scopus 로고    scopus 로고
    • Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
    • Huang DW, Sherman BT, Lempicki RA. 2008. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 4:44
    • (2008) Nat. Protoc. , vol.4 , pp. 44
    • Huang, D.W.1    Sherman, B.T.2    Lempicki, R.A.3
  • 132
    • 84926470294 scopus 로고    scopus 로고
    • Dynamics of smoking-induced genome-wide methylation changes with time since smoking cessation
    • Guida F, Sandanger TM, Castagne R, Campanella G, Polidoro S, et al. 2015. Dynamics of smoking-induced genome-wide methylation changes with time since smoking cessation. Hum. Mol. Genet. 24:2349-59
    • (2015) Hum. Mol. Genet. , vol.24 , pp. 2349-2359
    • Guida, F.1    Sandanger, T.M.2    Castagne, R.3    Campanella, G.4    Polidoro, S.5
  • 134
    • 84959882768 scopus 로고    scopus 로고
    • Group and sparse group partial least square approaches applied in genomics context
    • Liquet B, Lafaye de Micheaux P, Hejblum B, Thiebaut R. 2016. Group and sparse group partial least square approaches applied in genomics context. Bioinformatics 32:35-42
    • (2016) Bioinformatics , vol.32 , pp. 35-42
    • Liquet, B.1    Lafaye De Micheaux, P.2    Hejblum, B.3    Thiebaut, R.4
  • 135
    • 84898605616 scopus 로고    scopus 로고
    • Variance and covariance heterogeneity analysis for detection of metabolites associated with cadmium exposure
    • Salamanca BV, Ebbels TM, Iorio MD. 2014. Variance and covariance heterogeneity analysis for detection of metabolites associated with cadmium exposure. Stat. Appl. Genet. Mol. Biol. 13:191-201
    • (2014) Stat. Appl. Genet. Mol. Biol. , vol.13 , pp. 191-201
    • Salamanca, B.V.1    Ebbels, T.M.2    Iorio, M.D.3
  • 136
    • 84896939208 scopus 로고    scopus 로고
    • Genome metabolome integrated network analysis to uncover connections between genetic variants and complex traits: An application to obesity
    • Valcarcel B, Ebbels TM, Kangas AJ, Soininen P, Elliot P, et al. 2014. Genome metabolome integrated network analysis to uncover connections between genetic variants and complex traits: an application to obesity. J. R. Soc. Interface 11:20130908
    • (2014) J. R. Soc. Interface , vol.11 , pp. 20130908
    • Valcarcel, B.1    Ebbels, T.M.2    Kangas, A.J.3    Soininen, P.4    Elliot, P.5
  • 137
    • 80053202843 scopus 로고    scopus 로고
    • A differential network approach to exploring differences between biological states: An application to prediabetes
    • Valcarcel B, Wurtz P, Seich al Basatena NK, Tukiainen T, Kangas AJ, et al. 2011. A differential network approach to exploring differences between biological states: an application to prediabetes. PLOS ONE 6:e24702
    • (2011) PLOS ONE , vol.6 , pp. e24702
    • Valcarcel, B.1    Wurtz, P.2    Seichal Basatena, N.K.3    Tukiainen, T.4    Kangas, A.J.5
  • 138
    • 84867224652 scopus 로고    scopus 로고
    • Classifying life course trajectories: A comparison of latent class and sequence analysis
    • Barban N, Billari FC. 2012. Classifying life course trajectories: a comparison of latent class and sequence analysis. J. R. Stat. Soc. C 61:765-84
    • (2012) J. R. Stat. Soc. C , vol.61 , pp. 765-784
    • Barban, N.1    Billari, F.C.2
  • 139
    • 84890128351 scopus 로고    scopus 로고
    • Dynamics of the risk of smoking-induced lung cancer: A compartmental hidden Markov model for longitudinal analysis
    • Chadeau-Hyam M, Tubert-Bitter P, Guihenneuc-Jouyaux C, Campanella G, Richardson S, et al. 2014. Dynamics of the risk of smoking-induced lung cancer: a compartmental hidden Markov model for longitudinal analysis. Epidemiology 25:28-34
    • (2014) Epidemiology , vol.25 , pp. 28-34
    • Chadeau-Hyam, M.1    Tubert-Bitter, P.2    Guihenneuc-Jouyaux, C.3    Campanella, G.4    Richardson, S.5
  • 141
    • 85031799653 scopus 로고    scopus 로고
    • Adverse outcome pathways: Opportunities, limitations and open questions
    • Leist M, Ghallab A, Graepel R, Marchan R, Hassan R, et al. 2017. Adverse outcome pathways: opportunities, limitations and open questions. Arch. Toxicol. 91:3477-505
    • (2017) Arch. Toxicol. , vol.91 , pp. 3477-3505
    • Leist, M.1    Ghallab, A.2    Graepel, R.3    Marchan, R.4    Hassan, R.5
  • 142
    • 85049590606 scopus 로고    scopus 로고
    • Adata fusion pipeline for generating and enriching adverse outcome pathway descriptions
    • Nymark P, Rieswijk L, Ehrhart F, Jeliazkova N, Tsiliki G, et al. 2017. Adata fusion pipeline for generating and enriching adverse outcome pathway descriptions. Toxicol. Sci. 162:264-75
    • (2017) Toxicol. Sci. , vol.162 , pp. 264-275
    • Nymark, P.1    Rieswijk, L.2    Ehrhart, F.3    Jeliazkova, N.4    Tsiliki, G.5
  • 143
    • 84923762812 scopus 로고    scopus 로고
    • A new initiative on precision medicine
    • Collins FS, Varmus H. 2015. A new initiative on precision medicine. New Engl. J. Med. 372:793-95
    • (2015) New Engl. J. Med. , vol.372 , pp. 793-795
    • Collins, F.S.1    Varmus, H.2
  • 145
    • 84908577609 scopus 로고    scopus 로고
    • High throughput heuristics for prioritizing human exposure to environmental chemicals
    • Wambaugh JF, Wang A, Dionisio KL, Frame A, Egeghy P, et al. 2014. High throughput heuristics for prioritizing human exposure to environmental chemicals. Environ. Sci. Technol. 48:12760-67
    • (2014) Environ. Sci. Technol. , vol.48 , pp. 12760-12767
    • Wambaugh, J.F.1    Wang, A.2    Dionisio, K.L.3    Frame, A.4    Egeghy, P.5
  • 147
    • 84964698330 scopus 로고    scopus 로고
    • Circulating levels of antioxidant vitamins correlate with better lung function and reduced exposure to ambient pollution
    • Menni C, Metrustry SJ, Mohney RP, Beevers S, Barratt B, et al. 2015. Circulating levels of antioxidant vitamins correlate with better lung function and reduced exposure to ambient pollution. Am. J. Respir. Crit. Care Med. 191:1203-7
    • (2015) Am. J. Respir. Crit. Care Med. , vol.191 , pp. 1203-1207
    • Menni, C.1    Metrustry, S.J.2    Mohney, R.P.3    Beevers, S.4    Barratt, B.5
  • 148
    • 79251504951 scopus 로고    scopus 로고
    • Meeting-in-the-middle using metabolic profiling-a strategy for the identification of intermediate biomarkers in cohort studies
    • Chadeau-Hyam M, Athersuch TJ, Keun HC, De Iorio M, Ebbels TM, et al. 2011. Meeting-in-the-middle using metabolic profiling-a strategy for the identification of intermediate biomarkers in cohort studies. Biomarkers 16:83-88
    • (2011) Biomarkers , vol.16 , pp. 83-88
    • Chadeau-Hyam, M.1    Athersuch, T.J.2    Keun, H.C.3    De Iorio, M.4    Ebbels, T.M.5
  • 149
    • 77956293644 scopus 로고    scopus 로고
    • Occupational exposure to trichloroethylene is associated with a decline in lymphocyte subsets and soluble CD27 and CD30 markers
    • Lan Q, Zhang L, Tang X, Shen M, Smith MT, et al. 2010. Occupational exposure to trichloroethylene is associated with a decline in lymphocyte subsets and soluble CD27 and CD30 markers. Carcinogenesis 31:1592-96
    • (2010) Carcinogenesis , vol.31 , pp. 1592-1596
    • Lan, Q.1    Zhang, L.2    Tang, X.3    Shen, M.4    Smith, M.T.5
  • 151
    • 84864223921 scopus 로고    scopus 로고
    • Nutritional metabolomics: Progress in addressing complexity in diet and health
    • Jones DP, Park Y, Ziegler TR. 2012. Nutritional metabolomics: progress in addressing complexity in diet and health. Annu. Rev. Nutr. 32:183-202
    • (2012) Annu. Rev. Nutr. , vol.32 , pp. 183-202
    • Jones, D.P.1    Park, Y.2    Ziegler, T.R.3
  • 152
    • 84920278726 scopus 로고    scopus 로고
    • Mitochondrial metabolomics using high-resolution Fourier-transform mass spectrometry
    • Go YM, Uppal K, Walker DI, Tran V, Dury L, et al. 2014. Mitochondrial metabolomics using high-resolution Fourier-transform mass spectrometry. Methods Mol. Biol. 1198:43-73
    • (2014) Methods Mol. Biol. , vol.1198 , pp. 43-73
    • Go, Y.M.1    Uppal, K.2    Walker, D.I.3    Tran, V.4    Dury, L.5
  • 153
    • 84949307139 scopus 로고    scopus 로고
    • Reference standardization for mass spectrometry and high-resolution metabolomics applications to exposome research
    • Go YM, Walker DI, Liang Y, Uppal K, Soltow QA, et al. 2015. Reference standardization for mass spectrometry and high-resolution metabolomics applications to exposome research. Toxicol. Sci. 148:531-43
    • (2015) Toxicol. Sci. , vol.148 , pp. 531-543
    • Go, Y.M.1    Walker, D.I.2    Liang, Y.3    Uppal, K.4    Soltow, Q.A.5
  • 154
    • 84872187695 scopus 로고    scopus 로고
    • XMSanalyzer: Automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data
    • Uppal K, Soltow QA, Strobel FH, Pittard WS, Gernert KM, et al. 2013. xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data. BMC Bioinform. 14:15
    • (2013) BMC Bioinform. , vol.14 , pp. 15
    • Uppal, K.1    Soltow, Q.A.2    Strobel, F.H.3    Pittard, W.S.4    Gernert, K.M.5
  • 155
    • 84925520011 scopus 로고    scopus 로고
    • Metabolome-wide association study of phenylalanine in plasma of common marmosets
    • Go YM, Walker DI, Soltow QA, Uppal K, Wachtman LM, et al. 2014. Metabolome-wide association study of phenylalanine in plasma of common marmosets. Amino Acids 47:589-601
    • (2014) Amino Acids , vol.47 , pp. 589-601
    • Go, Y.M.1    Walker, D.I.2    Soltow, Q.A.3    Uppal, K.4    Wachtman, L.M.5
  • 156
    • 85042183084 scopus 로고    scopus 로고
    • Microneedle-based device for the one-step painless collection of capillary blood samples
    • Blicharz T, Gong P, Bunner BM, Chu LL, Leonard KM, et al. 2018. Microneedle-based device for the one-step painless collection of capillary blood samples. Nat. Biomed. Eng. 2:151-57
    • (2018) Nat. Biomed. Eng. , vol.2 , pp. 151-157
    • Blicharz, T.1    Gong, P.2    Bunner, B.M.3    Chu, L.L.4    Leonard, K.M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.