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In this vignette, CTX Hazard API will be explored.
Data for the Hazard API come from the Toxicity Value Database (ToxValDB). ToxValDB includes data on thousands of chemicals from tens of thousands of records, with an emphasis on quantitative estimates of relevant points-of-departure from in vivo toxicology studies, such as no- and low-observable adverse effect levels, screening levels, reference doses, tolerable daily intake, etc.
The Aggregated Computational Toxicology Resource (ACToR) is currently being integrated into ToxValDB. ACToR, as described in Judson et al (2008), was designed to serve as a central location for information on chemical structure in vitro bioassays, and in vivo toxicology assays used in various Computational Toxicology efforts at US EPA.
More information on ToxValDB can be found at https://www.epa.gov/comptox-tools/downloadable-computational-toxicology-data#AT. Additional resources are available under the “ToxVal” subtopic: New Approach Methods training.
NOTE: Please see the introductory vignette for an overview of the ctxR package and initial set up instruction with API key storage.
Several ctxR functions can be used to access the CTX Hazard API data, as described in the following sections.Tables output in each example have been filtered to only display the first few rows of data.
get_hazard_by_dtxsid() retrieves all hazard data, both
human and EcoTox data.
hazard_by_dtxsid <- get_hazard_by_dtxsid(DTXSID = 'DTXSID7020182')get_skin_eye_hazard() retrieves hazard data specific to
skin and eye hazard.
skin_eye_hazard <- get_skin_eye_hazard(DTXSID = 'DTXSID7020182')get_cancer_hazard() retrieves cancer hazard data.
cancer_hazard <- get_cancer_hazard(DTXSID = 'DTXSID7020182')get_genetox_summary() retrieves summary level data for
genotoxicity data associated to a chemical.
genetox_summary <- get_genetox_summary(DTXSID = 'DTXSID7020182')get_genetox_detail() retrieves more detailed genetox
data for a chemical than is provided on the summary level.
genetox_details <- get_genetox_details(DTXSID = 'DTXSID7020182')The fourth Drinking Water Contaminant Candidate List (CCL4) is a set of chemicals that “…are not subject to any proposed or promulgated national primary drinking water regulations, but are known or anticipated to occur in public water systems….” Moreover, this list “…was announced on November 17, 2016. The CCL 4 includes 97 chemicals or chemical groups and 12 microbial contaminants….” The National-Scale Air Toxics Assessments (NATA) is “… EPA’s ongoing comprehensive evaluation of air toxics in the United States… a state-of-the-science screening tool for State/Local/Tribal agencies to prioritize pollutants, emission sources and locations of interest for further study in order to gain a better understanding of risks… use general information about sources to develop estimates of risks which are more likely to overestimate impacts than underestimate them….”
These lists can be found in the CCD with additional information at CCL4 information and NATA information. The quotes from the previous paragraph were excerpted from list detail descriptions found on the CCD.
In this example use case, hazard data will be compared between a water contaminant priority and an air toxics list.
First, confirm the chemical list to query. We use functions that wrap some of the Chemical domain endpoints to retrieve information about the list of chemicals.
options(width = 100)
ccl4_information <- get_public_chemical_list_by_name('CCL4')
print(ccl4_information, trunc.cols = TRUE)
#> visibility id type label
#> 1 PUBLIC 443 federal WATER|EPA: Chemical Contaminants - CCL 4
#> longDescription
#> 1 The Contaminant Candidate List (CCL) is a list of contaminants that, at the time of publication, are not subject to any proposed or promulgated national primary drinking water regulations, but are known or anticipated to occur in public water systems. Contaminants listed on the CCL may require future regulation under the Safe Drinking Water Act (SDWA). EPA announced the <a href='https://www.epa.gov/ccl/contaminant-candidate-list-4-ccl-4-0' target='_blank'>fourth Drinking Water Contaminant Candidate List (CCL 4)</a> on November 17, 2016. The CCL 4 includes 97 chemicals or chemical groups and 12 microbial contaminants. The group of cyanotoxins on CCL 4 includes, but is not limited to: anatoxin-a, cylindrospermopsin, microcystins, and saxitoxin. The CCL Chemical Candidate Lists are versioned iteratively and this description navigates between the various versions of the lists. The list of substances displayed below represents only the chemical CCL 4 contaminants. For the versioned lists, please use the hyperlinked lists below.<br/><br/>\r\n\r\n<a href='https://comptox.epa.gov/dashboard/chemical_lists/CCL5' target='_blank'>CCL5 - November 2022</a> <br/><br/>\r\n<a href='https://comptox.epa.gov/dashboard/chemical_lists/CCL4' target='_blank'>CCL4 - November 2016</a>\r\n This list<br/><br/>\r\n<a href='https://comptox.epa.gov/dashboard/chemical_lists/CCL3' target='_blank'>CCL3 - October 2009</a> <br/><br/>\r\n<a href='https://comptox.epa.gov/dashboard/chemical_lists/CCL2' target='_blank'>CCL2 - February 2005</a><br/><br/>\r\n<a href='https://comptox.epa.gov/dashboard/chemical_lists/CCL1' target='_blank'>CCL1 - March 1998</a><br/><br/>
#> listName chemicalCount createdAt updatedAt
#> 1 CCL4 100 2017-12-28T17:58:36Z 2022-10-26T21:14:27Z
#> shortDescription
#> 1 The Contaminant Candidate List (CCL) is a list of contaminants that are known or anticipated to occur in public water systems. Version 4 is known as CCL 4.
natadb_information <- get_public_chemical_list_by_name('NATADB')
print(natadb_information, trunc.cols = TRUE)
#> visibility id type label
#> 1 PUBLIC 454 federal EPA: National-Scale Air Toxics Assessment (NATA)
#> longDescription
#> 1 The National-Scale Air Toxics Assessment (NATA) is EPA's ongoing comprehensive evaluation of air toxics in the United States. EPA developed the NATA as a state-of-the-science screening tool for State/Local/Tribal Agencies to prioritize pollutants, emission sources and locations of interest for further study in order to gain a better understanding of risks. NATA assessments do not incorporate refined information about emission sources but, rather, use general information about sources to develop estimates of risks which are more likely to overestimate impacts than underestimate them.\r\n\r\nNATA provides estimates of the risk of cancer and other serious health effects from breathing (inhaling) air toxics in order to inform both national and more localized efforts to identify and prioritize air toxics, emission source types and locations which are of greatest potential concern in terms of contributing to population risk. This in turn helps air pollution experts focus limited analytical resources on areas and or populations where the potential for health risks are highest. Assessments include estimates of cancer and non-cancer health effects based on chronic exposure from outdoor sources, including assessments of non-cancer health effects for Diesel Particulate Matter (PM). Assessments provide a snapshot of the outdoor air quality and the risks to human health that would result if air toxic emissions levels remained unchanged.
#> listName chemicalCount createdAt updatedAt
#> 1 NATADB 163 2018-02-21T12:04:16Z 2018-11-16T21:42:01Z
#> shortDescription
#> 1 The National-Scale Air Toxics Assessment (NATA) is EPA's ongoing comprehensive evaluation of air toxics in the United States.Next, retrieve the list of chemicals associated with each list.
ccl4 <- get_chemicals_in_list('CCL4')
ccl4 <- data.table::as.data.table(ccl4)
natadb <- get_chemicals_in_list('NATADB')
natadb <- data.table::as.data.table(natadb)Using the standard CompTox Chemicals Dashboard approach to access genotoxicity hazard data, one would navigate to the individual chemical page for DTXSID7020182 as shown below.
Figure 1: CCD Navigation to Hazard Data>Genotoxicity Plot
Figure 2 shows the genotoxicity section of the hazard tab for Bisphenol A. This page provides a summary of available genotoxicity data as well as individual reports and samples of such data.
Figure 2: CCD Hazard Data>Genotoxicity for Bisphenol A
The CTX APIs streamline the process of retrieving this information in
a programmatic fashion. Figure 3 shows the particular set of
genotoxicity resources available in the Hazard endpoints of
the CTX APIs. There are both summary and detail resources, reflecting
the information one can find on the CompTox Chemicals Dashboard
Genotoxicity page for a given chemical.
Figure 3: CTX Hazard APIs for Genotoxicity Endpoints
The function get_genetox_summary() is used to access
summary genotoxicity information per chemical. To query a list of
chemicals, rather than searching individually for each chemical, the
batch search version of the function,
get_genetox_summary_batch(), can be used to access these
details.
First, pull the data.
ccl4_genotox <- get_genetox_summary_batch(DTXSID = ccl4$dtxsid)
natadb_genetox <- get_genetox_summary_batch(DTXSID = natadb$dtxsid)Next, it may be helpful to examine the dimensions and column names of the output.
dim(ccl4_genotox)
#> [1] 71 10
dim(natadb_genetox)
#> [1] 153 10
colnames(ccl4_genotox)
#> [1] "id" "dtxsid" "reportsPositive" "reportsNegative" "reportsOther"
#> [6] "ames" "micronucleus" "clowderDocId" "genetoxCall" "genetoxSummaryId"
head(ccl4_genotox)
#> id dtxsid reportsPositive reportsNegative reportsOther ames micronucleus
#> <int> <char> <int> <int> <int> <char> <char>
#> 1: 92 DTXSID0020153 20 5 1 positive positive
#> 2: 4399 DTXSID0020446 0 8 0 negative negative
#> 3: 930 DTXSID0020573 3 9 0 negative negative
#> 4: 93 DTXSID0020600 20 0 1 positive positive
#> 5: 2079 DTXSID0020814 1 0 0 <NA> <NA>
#> 6: 320 DTXSID0021464 8 6 0 positive positive
#> 3 variables not shown: [clowderDocId <char>, genetoxCall <char>, genetoxSummaryId <int>]The information returned is of the first variety highlighted in the Figure 2, that is, summary data on the available genotoxicity data for each chemical. Observe genotoxicity data was returned for 71 chemicals from the CCL4 chemical list and 153 from the NATA chemical list. Chemicals missing genotoxicity data for each list are noted below.
ccl4[!(dtxsid %in% ccl4_genotox$dtxsid),
.(dtxsid, casrn, preferredName, molFormula)]
#> dtxsid casrn preferredName molFormula
#> <char> <char> <char> <char>
#> 1: DTXSID001024118 77238-39-2 Microcystin <NA>
#> 2: DTXSID0024052 55290-64-7 Dimethipin C6H10O4S2
#> 3: DTXSID0032578 59669-26-0 Thiodicarb C10H18N4O4S3
#> 4: DTXSID1037484 194992-44-4 Acetochlor OA C14H19NO4
#> 5: DTXSID1037486 171262-17-2 2-[(2,6-Diethylphenyl)(me C14H19NO4
#> 6: DTXSID1037567 171118-09-5 Metolachlor ESA C15H23NO5S
#> 7: DTXSID2022333 135-98-8 sec-Butylbenzene C10H14
#> 8: DTXSID2031083 143545-90-8 Cylindrospermopsin C15H21N5O7S
#> 9: DTXSID2037506 16655-82-6 3-Hydroxycarbofuran C12H15NO4
#> 10: DTXSID2052156 517-09-9 Equilenin C18H18O2
#> 11: DTXSID3021857 25154-52-3 Nonylphenol C15H24O
#> 12: DTXSID3034458 99129-21-2 Clethodim C17H26ClNO3S
#> 13: DTXSID3042219 103-65-1 Propylbenzene C9H12
#> 14: DTXSID3073137 14866-68-3 Chlorate ClO3
#> 15: DTXSID3074313 35523-89-8 Saxitoxin C10H17N7O4
#> 16: DTXSID4022448 51218-45-2 Metolachlor C15H22ClNO2
#> 17: DTXSID4032611 13194-48-4 Ethoprop C8H19O2PS2
#> 18: DTXSID4034948 112410-23-8 Tebufenozide C22H28N2O2
#> 19: DTXSID50867064 64285-06-9 Anatoxin a C10H15NO
#> 20: DTXSID6024177 10265-92-6 Methamidophos C2H8NO2PS
#> 21: DTXSID6037483 187022-11-3 Acetochlor ESA C14H21NO5S
#> 22: DTXSID6037485 142363-53-9 Alachlor ESA C14H21NO5S
#> 23: DTXSID6037568 152019-73-3 Metolachlor OA C15H21NO4
#> 24: DTXSID7024241 42874-03-3 Oxyfluorfen C15H11ClF3NO4
#> 25: DTXSID7047433 474-86-2 Equilin C18H20O2
#> 26: DTXSID8022377 57-91-0 17alpha-Estradiol C18H24O2
#> 27: DTXSID8052483 7440-56-4 Germanium Ge
#> 28: DTXSID9032113 107534-96-3 Tebuconazole C16H22ClN3O
#> 29: DTXSID9032329 741-58-2 Bensulide C14H24NO4PS3
#> dtxsid casrn preferredName molFormula
natadb[!(dtxsid %in% natadb_genetox$dtxsid),
.(dtxsid, casrn, preferredName, molFormula)]
#> dtxsid casrn preferredName molFormula
#> <char> <char> <char> <char>
#> 1: DTXSID00872421 NOCAS_872421 Lead & Lead Compounds <NA>
#> 2: DTXSID1020273 7782-50-5 Chlorine Cl2
#> 3: DTXSID10872417 NOCAS_872417 Cadmium & Cadmium Compoun <NA>
#> 4: DTXSID30872414 NOCAS_872414 Antimony & Antimony Compo <NA>
#> 5: DTXSID30872419 NOCAS_872419 Cobalt & Cobalt Compounds <NA>
#> 6: DTXSID40872425 NOCAS_872425 Nickel & Nickel Compounds <NA>
#> 7: DTXSID5024267 1336-36-3 Polychlorinated biphenyls C12
#> 8: DTXSID7020687 608-73-1 1,2,3,4,5,6-Hexachlorocyc C6H6Cl6
#> 9: DTXSID7023984 NOCAS_23984 Coke oven emissions <NA>
#> 10: DTXSID90872415 NOCAS_872415 Arsenic & Arsenic Compoun <NA>Now, genotoxicity details of the chemicals in each chemical list are
returned using the function
get_genetox_details_batch().
ccl4_genetox_details <- get_genetox_details_batch(DTXSID = ccl4$dtxsid)
natadb_genetox_details <- get_genetox_details_batch(DTXSID = natadb$dtxsid)If inspecting the first chemical in each set of results, DTXSID0020153, notice that the information is identical in each case as this information is chemical specific and not chemical list specific, though ordered slightly differently.
all.equal(ccl4_genetox_details[dtxsid %in% 'DTXSID0020153', ],
natadb_genetox_details[dtxsid %in% 'DTXSID0020153', ])
#> [1] "Column 'source': 18 string mismatches"Assays present for chemicals in each chemical list can be explored.
First, determine the unique values of the assayCategory
column and then group by these values and determine the number of unique
assays for each assayCategory value.
ccl4_genetox_details[, unique(assayCategory)]
#> [1] "in vivo" "in vitro" "ND"
natadb_genetox_details[, unique(assayCategory)]
#> [1] "in vivo" "in vitro" "ND"
ccl4_genetox_details[, unique(assayType)]
#> [1] "Unscheduled DNA synthesis (UDS) in vitro, DNA effects"
#> [2] "Mitotic recombination or gene conversion"
#> [3] "In vivo carcinogenicity studies"
#> [4] "Histidine reverse gene mutation, Ames assay"
#> [5] "micronucleus assay"
#> [6] "InVitroCA"
#> [7] "InVitroMN"
#> [8] "InVitroMLA"
#> [9] "Ames"
#> [10] "InVivoMN"
#> [11] "Overall"
#> [12] "Sister-chromatid exchange (SCE) in vitro"
#> [13] "Micronucleus test, chromosome aberrations"
#> [14] "Cell transformation, clonal assay"
#> [15] "Forward and reverse gene mutation, host-mediated assay"
#> [16] "Rec-assay, spot test, DNA effects (bacterial DNA repair)"
#> [17] "bacterial reverse mutation assay"
#> [18] "Rec-assay, DNA effects (bacterial DNA repair)"
#> [19] "mammalian cell gene mutation assay"
#> [20] "in vitro mammalian chromosome aberration test"
#> [21] "in vivo micronucleus (mouse)"
#> [22] "DNA damage and repair assay, unscheduled DNA synthesis in mammalian cells in vitro"
#> [23] "Sperm morphology"
#> [24] "in vivo micronucleus (rat)"
#> [25] "Unscheduled DNA synthesis (UDS) in vivo; DNA effects"
#> [26] "Sex-linked recessive lethal gene mutation"
#> [27] "Dominant lethal test"
#> [28] "Sister-chromatid exchange (SCE) in vivo"
#> [29] "Forward gene mutation at the HPRT locus"
#> [30] "Chromosome aberrations"
#> [31] "Reverse gene mutation"
#> [32] "InVivoCA"
#> [33] "InVivoUDS"
#> [34] "transgenic"
#> [35] "Heritable translocation test, chromosome aberrations"
#> [36] "mammalian germ cell cytogenetic assay"
#> [37] "chromosome aberration assay"
#> [38] "unscheduled DNA synthesis"
#> [39] "DNA Binding"
#> [40] "sister chromatid exchange assay in mammalian cells"
#> [41] "rodent dominant lethal assay"
#> [42] "bacterial forward mutation assay"
#> [43] "Bacterial Mutagenesis"
#> [44] "In Vitro Micronucleus"
#> [45] "Cytogenetics Other"
#> [46] "bacterial gene mutation assay"
#> [47] "in vitro mammalian cell micronucleus test"
#> [48] "Aneuploidy, chromosome aberrations"
#> [49] "Chromosome aberrations in vivo"
#> [50] "Cell transformation, viral enhanced"
#> [51] "sister chromatid exchange assay"
#> [52] "InVivoDNADamage"
#> [53] "Forward gene mutation"
#> [54] "Chromosome aberrations in vitro"
#> [55] "Forward gene mutation at the HPRT or ouabain locus"
#> [56] "Specific locus test, gene mutation"
#> [57] "Forward gene mutation at the thymidine kinase (TK) locus; chromosome aberrations"
#> [58] "Spot test, gene mutation"
#> [59] "In Vivo Non-mammalian Mutagenesis"
#> [60] "In Vivo Micronucleus"
#> [61] "mouse spot test"
#> [62] "Micronucleus and sister chromatid exchange"
#> [63] "transgenic rodent mutagenicity assay"
#> [64] "yeast cytogenetic assay"
#> [65] "in vivo comet (rat)"
#> [66] "in vivo comet (mouse)"
#> [67] "in vitro mammalian cell transformation assay"
#> [68] "Cell transformation"
#> [69] "Tryptophan reverse gene mutation"
#> [70] "Gene mutation"
#> [71] "Cell Transformation"
#> [72] "DNA Damage/Repair"
#> [73] "In Vivo Mammalian Mutagenesis"
#> [74] "In Vitro Chromosome Aberration"
#> [75] "DNA Covalent Binding"
#> [76] "Mutation"
#> [77] "in vitro chromosomal aberration study in mammalian cells"
#> [78] "Mutation Other"
#> [79] "In vitro mammalian chromosomal aberration test"
#> [80] "In Vivo Chromosome Aberration"
#> [81] "Forward and reverse gene mutation, body fluid assay"
#> [82] "Forward and reverse gene mutation, chromosome aberrations, mitotic recombination and gene conversion, DNA effects, host-mediated assay"
#> [83] "Chromosomal aberration assay"
#> [84] "Mitotic recombination"
#> [85] "Aneuploidy, sex chromosome gain, chromosome aberrations"
#> [86] "Aneuploidy, whole sex chromosome loss, chromosome aberrations"
#> [87] "fluctuation test"
natadb_genetox_details[, unique(assayType)]
#> [1] "In vivo carcinogenicity studies"
#> [2] "Micronucleus test, chromosome aberrations"
#> [3] "Rec-assay, spot test, DNA effects (bacterial DNA repair)"
#> [4] "Rec-assay, DNA effects (bacterial DNA repair)"
#> [5] "bacterial reverse mutation assay"
#> [6] "Unscheduled DNA synthesis (UDS) in vitro, DNA effects"
#> [7] "Mitotic recombination or gene conversion"
#> [8] "micronucleus assay"
#> [9] "Histidine reverse gene mutation, Ames assay"
#> [10] "Sister-chromatid exchange (SCE) in vitro"
#> [11] "Ames"
#> [12] "InVitroMLA"
#> [13] "InVitroMN"
#> [14] "InVitroCA"
#> [15] "InVivoMN"
#> [16] "Overall"
#> [17] "Cell transformation, clonal assay"
#> [18] "Forward and reverse gene mutation, host-mediated assay"
#> [19] "rodent dominant lethal assay"
#> [20] "DNA damage and repair assay, unscheduled DNA synthesis in mammalian cells in vitro"
#> [21] "InVivoUDS"
#> [22] "Chromosome aberrations"
#> [23] "Sister-chromatid exchange (SCE) in vivo"
#> [24] "transgenic"
#> [25] "InVivoCA"
#> [26] "Unscheduled DNA synthesis (UDS) in vivo; DNA effects"
#> [27] "Heritable translocation test, chromosome aberrations"
#> [28] "Sex-linked recessive lethal gene mutation"
#> [29] "Reverse gene mutation"
#> [30] "Dominant lethal test"
#> [31] "Forward gene mutation at the HPRT locus"
#> [32] "Cell transformation, viral enhanced"
#> [33] "DNA Damage/Repair"
#> [34] "Bacterial Mutagenesis"
#> [35] "InVivoDNADamage"
#> [36] "in vitro mammalian chromosome aberration test"
#> [37] "Cytogenetics Other"
#> [38] "Mutation"
#> [39] "In Vivo Non-mammalian Mutagenesis"
#> [40] "In Vivo Micronucleus"
#> [41] "In Vivo Mammalian Mutagenesis"
#> [42] "In Vivo Chromosome Aberration"
#> [43] "In Vitro Micronucleus"
#> [44] "In Vitro Chromosome Aberration"
#> [45] "mammalian cell gene mutation assay"
#> [46] "in vivo micronucleus (mouse)"
#> [47] "Sperm morphology"
#> [48] "Gene mutation"
#> [49] "Spot test, gene mutation"
#> [50] "Forward and reverse gene mutation, mitotic recombination and gene conversion, host-mediated assay"
#> [51] "DNA Binding"
#> [52] "sister chromatid exchange assay in mammalian cells"
#> [53] "bacterial forward mutation assay"
#> [54] "unscheduled DNA synthesis"
#> [55] "bacteriophage induction in E. coli, gene mutation, UDS in mammalian cells, sex-linked recessive lethal mutations in Drosophila"
#> [56] "DNA damage, gene mutation, reverse mutation, gene conversion, DNA repair, chromosomal aberration, chromatid exchange, UDS"
#> [57] "Forward gene mutation at the thymidine kinase (TK) locus; chromosome aberrations"
#> [58] "chromosome aberration study in mammalian cells"
#> [59] "in vitro mammalian cell transformation assay"
#> [60] "Forward gene mutation at the HPRT or ouabain locus"
#> [61] "Cell transformation"
#> [62] "Forward and reverse gene mutation, body fluid assay"
#> [63] "Drosophila SLRL assay"
#> [64] "chromosome aberration assay"
#> [65] "Salmonella and Escherichia strains: bacterial reverse mutation assay (e.g. Ames test) ; Bacillus strains: recombination assay"
#> [66] "Cytogenetic assay in bone marrow cells"
#> [67] "Forward gene mutation"
#> [68] "Chromosome aberrations in vivo"
#> [69] "Chromosome aberrations in vitro"
#> [70] "in vivo comet (mouse)"
#> [71] "in vitro mammalian cell gene mutation tests using the thymidine kinase gene"
#> [72] "in vivo micronucleus (rat)"
#> [73] "in vivo comet (rat)"
#> [74] "mouse spot test"
#> [75] "Aneuploidy, whole sex chromosome loss, chromosome aberrations"
#> [76] "sister chromatid exchange assay"
#> [77] "Mouse Lymphoma Forward Mutation Assay"
#> [78] "mammalian erythrocyte micronucleus test"
#> [79] "Tryptophan reverse gene mutation"
#> [80] "bacterial gene mutation assay"
#> [81] "Micronucleus test in vitro, chromosome aberrations"
#> [82] "yeast forward mutation and mitotic gene conversion assays in Schizosaccharomyces pombe (P1 strain) and Saccharomyces cerevisiae (D4 strain)"
#> [83] "heritable translocation assay"
#> [84] "mitotic recombination assay with Saccharomyces cerevisiae"
#> [85] "Aneuploidy, chromosome aberrations"
#> [86] "in vitro mammalian cell micronucleus test"
#> [87] "cell transformation"
#> [88] "somatic mutation and recombination test in Drosophila"
#> [89] "transgenic rodent mutagenicity assay"
#> [90] "Micronucleus and sister chromatid exchange"
#> [91] "yeast cytogenetic assay"
#> [92] "in vitro mammalian cell gene mutation test using the Hprt and xprt genes"
#> [93] "bone marrow chromosome aberration assay and mammalian germ cell cytogenetic assay"
#> [94] "bacterial mutation"
#> [95] "bacterial reverse mutation assay (Salmonella typhimurium and Escherichia coli)"
#> [96] "Aneuploidy, partial sex chromosome loss, chromosome aberrations"
#> [97] "Chromosome aberrations, in vivo"
#> [98] "in vitro chromosome aberration study"
#> [99] "Cell transformation, focus assay"
#> [100] "Forward and reverse gene mutation, mitotic recombination and gene conversion, DNA effects, host-mediated assay"
#> [101] "DNA adduct formation"
#> [102] "gene mutation assay in fungi"
#> [103] "DNA Covalent Binding"
#> [104] "Cell Transformation"
#> [105] "Aneuploidy, sex chromosome gain, chromosome aberrations"
#> [106] "mammalian comet assay"
#> [107] "mammalian germ cell cytogenetic assay"
#> [108] "Forward and reverse gene mutation, chromosome aberrations, mitotic recombination and gene conversion, DNA effects, host-mediated assay"
#> [109] "E. coli K-12 DNA repair host-mediated assay"
#> [110] "Chromosomal aberration assay"
#> [111] "forward mutation"
#> [112] "mammalian cell gene mutation test"
#> [113] "Mitotic recombination"Next, determine the number of assays per unique
assayCategory value, count the number of assay results and
grouping by assayCategory, and assayType, and
also examine the different numbers of assayCategory and
assayTypes values used for both chemical lists.
ccl4_genetox_details[, .(Assays = length(unique(assayType))),
by = .(assayCategory)]
#> assayCategory Assays
#> <char> <int>
#> 1: in vivo 23
#> 2: in vitro 62
#> 3: ND 2
natadb_genetox_details[, .(Assays = length(unique(assayType))),
by = .(assayCategory)]
#> assayCategory Assays
#> <char> <int>
#> 1: in vivo 29
#> 2: in vitro 82
#> 3: ND 2
ccl4_genetox_details[, .N, by = .(assayCategory, assayType, assayResult)]
#> assayCategory assayType assayResult N
#> <char> <char> <char> <int>
#> 1: in vivo Unscheduled DNA synthesis positive 4
#> 2: in vitro Mitotic recombination or positive 11
#> 3: in vivo In vivo carcinogenicity s positive 22
#> 4: in vitro Histidine reverse gene mu positive 10
#> 5: in vivo micronucleus assay negative 34
#> ---
#> 144: in vitro Forward and reverse gene negative 1
#> 145: in vitro in vitro mammalian cell t positive 1
#> 146: in vitro Aneuploidy, sex chromosom negative 1
#> 147: in vitro Aneuploidy, whole sex chr positive 1
#> 148: in vitro fluctuation test negative 1
ccl4_genetox_details[, .N, by = .(assayCategory)]
#> assayCategory N
#> <char> <int>
#> 1: in vivo 211
#> 2: in vitro 728
#> 3: ND 15
ccl4_genetox_details[assayCategory == 'in vitro', .N, by = .(assayType)]
#> assayType N
#> <char> <int>
#> 1: Mitotic recombination or 20
#> 2: Histidine reverse gene mu 19
#> 3: InVitroCA 31
#> 4: InVitroMN 6
#> 5: InVitroMLA 24
#> 6: Ames 82
#> 7: InVivoMN 28
#> 8: Sister-chromatid exchange 42
#> 9: Micronucleus test, chromo 8
#> 10: Cell transformation, clon 8
#> 11: Forward and reverse gene 7
#> 12: Rec-assay, spot test, DNA 2
#> 13: bacterial reverse mutatio 108
#> 14: Rec-assay, DNA effects (b 15
#> 15: mammalian cell gene mutat 36
#> 16: in vitro mammalian chromo 21
#> 17: DNA damage and repair ass 15
#> 18: Sex-linked recessive leth 9
#> 19: Sister-chromatid exchange 14
#> 20: Forward gene mutation at 6
#> 21: Chromosome aberrations 2
#> 22: Reverse gene mutation 9
#> 23: Heritable translocation t 5
#> 24: chromosome aberration ass 14
#> 25: sister chromatid exchange 10
#> 26: bacterial forward mutatio 1
#> 27: Bacterial Mutagenesis 35
#> 28: In Vitro Micronucleus 3
#> 29: Cytogenetics Other 31
#> 30: bacterial gene mutation a 6
#> 31: in vitro mammalian cell m 5
#> 32: Aneuploidy, chromosome ab 5
#> 33: Cell transformation, vira 12
#> 34: sister chromatid exchange 3
#> 35: Forward gene mutation 5
#> 36: Chromosome aberrations in 2
#> 37: Forward gene mutation at 6
#> 38: Specific locus test, gene 1
#> 39: Forward gene mutation at 2
#> 40: Spot test, gene mutation 1
#> 41: In Vivo Non-mammalian Mut 7
#> 42: mouse spot test 2
#> 43: transgenic rodent mutagen 1
#> 44: yeast cytogenetic assay 1
#> 45: in vitro mammalian cell t 2
#> 46: Cell transformation 5
#> 47: Tryptophan reverse gene m 8
#> 48: Gene mutation 2
#> 49: Cell Transformation 2
#> 50: DNA Damage/Repair 9
#> 51: In Vitro Chromosome Aberr 10
#> 52: Mutation 4
#> 53: in vitro chromosomal aber 1
#> 54: Mutation Other 4
#> 55: In vitro mammalian chromo 2
#> 56: Forward and reverse gene 2
#> 57: Forward and reverse gene 1
#> 58: Chromosomal aberration as 2
#> 59: Mitotic recombination 1
#> 60: Aneuploidy, sex chromosom 1
#> 61: Aneuploidy, whole sex chr 1
#> 62: fluctuation test 1
#> assayType N
ccl4_genetox_details[assayCategory == 'ND', .N, by = .(assayType)]
#> assayType N
#> <char> <int>
#> 1: Overall 5
#> 2: transgenic 10
ccl4_genetox_details[assayCategory == 'in vivo', .N, by = .(assayType)]
#> assayType N
#> <char> <int>
#> 1: Unscheduled DNA synthesis 9
#> 2: In vivo carcinogenicity s 23
#> 3: micronucleus assay 45
#> 4: in vivo micronucleus (mou 19
#> 5: Sperm morphology 9
#> 6: in vivo micronucleus (rat 9
#> 7: Unscheduled DNA synthesis 3
#> 8: Dominant lethal test 5
#> 9: InVivoCA 14
#> 10: InVivoUDS 11
#> 11: mammalian germ cell cytog 1
#> 12: unscheduled DNA synthesis 6
#> 13: DNA Binding 1
#> 14: rodent dominant lethal as 16
#> 15: Chromosome aberrations in 2
#> 16: InVivoDNADamage 7
#> 17: In Vivo Micronucleus 1
#> 18: Micronucleus and sister c 2
#> 19: in vivo comet (rat) 3
#> 20: in vivo comet (mouse) 1
#> 21: In Vivo Mammalian Mutagen 7
#> 22: DNA Covalent Binding 16
#> 23: In Vivo Chromosome Aberra 1
#> assayType N
natadb_genetox_details[, .N, by = .(assayCategory, assayType, assayResult)]
#> assayCategory assayType assayResult N
#> <char> <char> <char> <int>
#> 1: in vivo In vivo carcinogenicity s positive 62
#> 2: in vitro Micronucleus test, chromo negative 5
#> 3: in vitro Rec-assay, spot test, DNA positive 4
#> 4: in vitro Rec-assay, DNA effects (b positive 28
#> 5: in vitro bacterial reverse mutatio positive 77
#> ---
#> 191: in vitro Heritable translocation t negative 2
#> 192: in vivo mammalian comet assay equivocal 1
#> 193: in vitro mammalian cell gene mutat positive 1
#> 194: in vitro Mitotic recombination positive 1
#> 195: in vitro in vitro mammalian cell t positive 1
natadb_genetox_details[, .N, by = .(assayCategory)]
#> assayCategory N
#> <char> <int>
#> 1: in vivo 516
#> 2: in vitro 1995
#> 3: ND 34
natadb_genetox_details[assayCategory == 'in vitro', .N, by = .(assayType)]
#> assayType N
#> <char> <int>
#> 1: Micronucleus test, chromo 33
#> 2: Rec-assay, spot test, DNA 6
#> 3: Rec-assay, DNA effects (b 34
#> 4: bacterial reverse mutatio 303
#> 5: Mitotic recombination or 62
#> 6: Histidine reverse gene mu 55
#> 7: Sister-chromatid exchange 99
#> 8: Ames 238
#> 9: InVitroMLA 85
#> 10: InVitroMN 20
#> 11: InVitroCA 98
#> 12: InVivoMN 89
#> 13: Cell transformation, clon 14
#> 14: Forward and reverse gene 17
#> 15: DNA damage and repair ass 40
#> 16: Chromosome aberrations 3
#> 17: Sister-chromatid exchange 31
#> 18: Heritable translocation t 10
#> 19: Sex-linked recessive leth 26
#> 20: Reverse gene mutation 30
#> 21: Forward gene mutation at 13
#> 22: Cell transformation, vira 46
#> 23: DNA Damage/Repair 34
#> 24: Bacterial Mutagenesis 49
#> 25: in vitro mammalian chromo 86
#> 26: Cytogenetics Other 48
#> 27: Mutation 7
#> 28: In Vivo Non-mammalian Mut 7
#> 29: In Vitro Micronucleus 7
#> 30: In Vitro Chromosome Aberr 7
#> 31: mammalian cell gene mutat 102
#> 32: Gene mutation 8
#> 33: Spot test, gene mutation 4
#> 34: Forward and reverse gene 4
#> 35: sister chromatid exchange 48
#> 36: bacterial forward mutatio 4
#> 37: bacteriophage induction i 1
#> 38: DNA damage, gene mutation 1
#> 39: Forward gene mutation at 6
#> 40: chromosome aberration stu 1
#> 41: in vitro mammalian cell t 2
#> 42: Forward gene mutation at 10
#> 43: Cell transformation 11
#> 44: Forward and reverse gene 7
#> 45: Drosophila SLRL assay 20
#> 46: chromosome aberration ass 27
#> 47: Salmonella and Escherichi 1
#> 48: Cytogenetic assay in bone 1
#> 49: Forward gene mutation 18
#> 50: Chromosome aberrations in 7
#> 51: in vitro mammalian cell g 2
#> 52: mouse spot test 8
#> 53: Aneuploidy, whole sex chr 4
#> 54: sister chromatid exchange 7
#> 55: Mouse Lymphoma Forward Mu 1
#> 56: Tryptophan reverse gene m 18
#> 57: bacterial gene mutation a 10
#> 58: Micronucleus test in vitr 2
#> 59: yeast forward mutation an 2
#> 60: mitotic recombination ass 6
#> 61: Aneuploidy, chromosome ab 8
#> 62: in vitro mammalian cell m 13
#> 63: cell transformation 2
#> 64: somatic mutation and reco 3
#> 65: transgenic rodent mutagen 2
#> 66: yeast cytogenetic assay 2
#> 67: in vitro mammalian cell g 2
#> 68: bacterial mutation 1
#> 69: bacterial reverse mutatio 1
#> 70: Aneuploidy, partial sex c 2
#> 71: in vitro chromosome aberr 1
#> 72: Cell transformation, focu 2
#> 73: Forward and reverse gene 1
#> 74: gene mutation assay in fu 6
#> 75: Cell Transformation 1
#> 76: Aneuploidy, sex chromosom 1
#> 77: Forward and reverse gene 1
#> 78: E. coli K-12 DNA repair h 1
#> 79: Chromosomal aberration as 2
#> 80: forward mutation 1
#> 81: mammalian cell gene mutat 1
#> 82: Mitotic recombination 1
#> assayType N
natadb_genetox_details[assayCategory == 'ND', .N, by = .(assayType)]
#> assayType N
#> <char> <int>
#> 1: Overall 16
#> 2: transgenic 18
natadb_genetox_details[assayCategory == 'in vivo', .N, by = .(assayType)]
#> assayType N
#> <char> <int>
#> 1: In vivo carcinogenicity s 66
#> 2: Unscheduled DNA synthesis 27
#> 3: micronucleus assay 109
#> 4: rodent dominant lethal as 33
#> 5: InVivoUDS 33
#> 6: InVivoCA 37
#> 7: Unscheduled DNA synthesis 5
#> 8: Dominant lethal test 14
#> 9: InVivoDNADamage 23
#> 10: In Vivo Micronucleus 13
#> 11: In Vivo Mammalian Mutagen 8
#> 12: In Vivo Chromosome Aberra 6
#> 13: in vivo micronucleus (mou 51
#> 14: Sperm morphology 25
#> 15: DNA Binding 1
#> 16: unscheduled DNA synthesis 19
#> 17: Chromosome aberrations in 9
#> 18: in vivo comet (mouse) 4
#> 19: in vivo micronucleus (rat 9
#> 20: in vivo comet (rat) 3
#> 21: mammalian erythrocyte mic 2
#> 22: heritable translocation a 2
#> 23: Micronucleus and sister c 2
#> 24: bone marrow chromosome ab 2
#> 25: Chromosome aberrations, i 2
#> 26: DNA adduct formation 1
#> 27: DNA Covalent Binding 2
#> 28: mammalian comet assay 7
#> 29: mammalian germ cell cytog 1
#> assayType NObserve that there are 87 unique assays for CCl4 and 113 unique assays for NATADB. The different assay categories are “in vitro”, “ND”, and “in vivo”, with 62 unique “in vitro” assays for CCl4 and 82 for NATADB, 2 unique “ND” assays for CCL4 and 2 for NATADB, and 23 unique “in vivo” assays for CCL4 and 29 for NATADB.
One may be interested in looking at the number of chemicals for which
an assay resulted in a positive or negative result. To assess this,
group by assayResult and determine the number of unique
dtxsid values associated with each assayResult
value.
ccl4_genetox_details[, .(DTXSIDs = length(unique(dtxsid))), by = .(assayResult)]
#> assayResult DTXSIDs
#> <char> <int>
#> 1: positive 53
#> 2: negative 63
#> 3: equivocal 14
natadb_genetox_details[, .(DTXSIDs = length(unique(dtxsid))),
by = .(assayResult)]
#> assayResult DTXSIDs
#> <char> <int>
#> 1: positive 129
#> 2: negative 139
#> 3: equivocal 47For CCL4, there are 63 unique chemicals that have a negative assay
result, 53 that have a positive result, and 14 that have an equivocal
result. For NATADB, there are 139 unique chemicals that have a negative
assay result, 129 that have a positive result, and 47 that have an
equivocal result. Observe that since there are 71 unique
dtxsid values with assay results in CCL4 and 153 in NATADB,
there are several chemicals that have multiple assay results.
Next, determine the chemicals from each chemical list that are known
to have genotoxic effects. For this, examine which chemicals produce at
least one positive response in the assayResult column.
ccl4_genetox_details[, .(is_positive = any(assayResult == 'positive')),
by = .(dtxsid)][is_positive == TRUE, dtxsid]
#> [1] "DTXSID0020153" "DTXSID0020573" "DTXSID0020600" "DTXSID0020814" "DTXSID0021464" "DTXSID0021541"
#> [7] "DTXSID0024341" "DTXSID1021407" "DTXSID1021740" "DTXSID1021798" "DTXSID1024338" "DTXSID1026164"
#> [13] "DTXSID1031040" "DTXSID2021028" "DTXSID2021317" "DTXSID2021731" "DTXSID3020203" "DTXSID3020702"
#> [19] "DTXSID3020833" "DTXSID3024869" "DTXSID3031864" "DTXSID4020533" "DTXSID4021503" "DTXSID4022361"
#> [25] "DTXSID4022367" "DTXSID5020023" "DTXSID5020576" "DTXSID5020601" "DTXSID5021207" "DTXSID5024182"
#> [31] "DTXSID5039224" "DTXSID6020301" "DTXSID6021030" "DTXSID6021032" "DTXSID6022422" "DTXSID7020005"
#> [37] "DTXSID7020215" "DTXSID7020637" "DTXSID7021029" "DTXSID8020044" "DTXSID8020090" "DTXSID8020832"
#> [43] "DTXSID8021062" "DTXSID8023846" "DTXSID8023848" "DTXSID8025541" "DTXSID8031865" "DTXSID9020243"
#> [49] "DTXSID9021390" "DTXSID9021427" "DTXSID9022366" "DTXSID9023380" "DTXSID9023914"
natadb_genetox_details[, .(is_positive = any(assayResult == 'positive')),
by = .(dtxsid)][is_positive == TRUE, dtxsid]
#> [1] "DTXSID0020153" "DTXSID0020448" "DTXSID0020529" "DTXSID0020600" "DTXSID0020868"
#> [6] "DTXSID0021381" "DTXSID0021383" "DTXSID0021541" "DTXSID0021834" "DTXSID0021965"
#> [11] "DTXSID0024187" "DTXSID0039227" "DTXSID0039229" "DTXSID1020148" "DTXSID1020302"
#> [16] "DTXSID1020306" "DTXSID1020431" "DTXSID1020512" "DTXSID1020516" "DTXSID1020566"
#> [21] "DTXSID1021374" "DTXSID1021798" "DTXSID1021827" "DTXSID1022057" "DTXSID1023786"
#> [26] "DTXSID1024045" "DTXSID1026164" "DTXSID1049641" "DTXSID2020137" "DTXSID2020262"
#> [31] "DTXSID2020507" "DTXSID2020682" "DTXSID2020844" "DTXSID2021284" "DTXSID2021286"
#> [36] "DTXSID2021319" "DTXSID2021658" "DTXSID2021731" "DTXSID2021781" "DTXSID3020203"
#> [41] "DTXSID3020257" "DTXSID3020413" "DTXSID3020415" "DTXSID3020596" "DTXSID3020679"
#> [46] "DTXSID3020702" "DTXSID3020833" "DTXSID3021431" "DTXSID3025091" "DTXSID3039242"
#> [51] "DTXSID4020161" "DTXSID4020298" "DTXSID4020402" "DTXSID4020533" "DTXSID4020583"
#> [56] "DTXSID4020874" "DTXSID4020901" "DTXSID4021006" "DTXSID4021056" "DTXSID4021395"
#> [61] "DTXSID4039231" "DTXSID5020023" "DTXSID5020027" "DTXSID5020029" "DTXSID5020071"
#> [66] "DTXSID5020316" "DTXSID5020449" "DTXSID5020491" "DTXSID5020601" "DTXSID5020607"
#> [71] "DTXSID5020865" "DTXSID5021124" "DTXSID5021207" "DTXSID5021380" "DTXSID5021386"
#> [76] "DTXSID5024055" "DTXSID5024059" "DTXSID5039224" "DTXSID6020145" "DTXSID6020307"
#> [81] "DTXSID6020353" "DTXSID6020432" "DTXSID6020438" "DTXSID6020515" "DTXSID6020569"
#> [86] "DTXSID6020981" "DTXSID6021828" "DTXSID6022422" "DTXSID6023947" "DTXSID6023949"
#> [91] "DTXSID7020005" "DTXSID7020009" "DTXSID7020267" "DTXSID7020637" "DTXSID7020689"
#> [96] "DTXSID7020710" "DTXSID7020716" "DTXSID7021029" "DTXSID7021100" "DTXSID7021106"
#> [101] "DTXSID7021318" "DTXSID7021360" "DTXSID7021368" "DTXSID7021948" "DTXSID7024166"
#> [106] "DTXSID7024370" "DTXSID7024532" "DTXSID7025180" "DTXSID7026156" "DTXSID8020090"
#> [111] "DTXSID8020173" "DTXSID8020250" "DTXSID8020599" "DTXSID8020759" "DTXSID8020832"
#> [116] "DTXSID8021195" "DTXSID8021197" "DTXSID8021432" "DTXSID8021434" "DTXSID8021438"
#> [121] "DTXSID8024286" "DTXSID9020168" "DTXSID9020243" "DTXSID9020247" "DTXSID9020293"
#> [126] "DTXSID9020827" "DTXSID9021138" "DTXSID9021261" "DTXSID9041522"Given the amount of genotoxicity data, consider one chemical,
DTXSID0020153, to get a sense of the assays, the number of each type of
result, and which correspond to “positive” results. To determine this,
group by assayResult and calculate .N for each
group. We also isolate which were positive and output a data.table with
the number of each type.
ccl4_genetox_details[dtxsid == 'DTXSID0020153', .(Number = .N),
by = .(assayResult)]
#> assayResult Number
#> <char> <int>
#> 1: positive 20
#> 2: negative 5
#> 3: equivocal 1
ccl4_genetox_details[dtxsid == 'DTXSID0020153' & assayResult == 'positive',
.(Number_of_assays = .N), by = .(assayType)][order(-Number_of_assays),]
#> assayType Number_of_assays
#> <char> <int>
#> 1: InVitroCA 2
#> 2: InVitroMLA 2
#> 3: Ames 2
#> 4: Sister-chromatid exchange 2
#> 5: bacterial reverse mutatio 2
#> 6: Rec-assay, DNA effects (b 2
#> 7: Unscheduled DNA synthesis 1
#> 8: Mitotic recombination or 1
#> 9: In vivo carcinogenicity s 1
#> 10: Histidine reverse gene mu 1
#> 11: InVitroMN 1
#> 12: Overall 1
#> 13: Cell transformation, clon 1
#> 14: Rec-assay, spot test, DNA 1There were five assays that produced a negative result, 20 that produced a positive result, and one that produced an equivocal result. Of the 22 positive assays, “bacterial reverse mutation assay” and “Ames” are among those that are most numerous, with three each.
In this vignette, a variety of functions that access different types
of data found in the Hazard endpoints of the CTX APIs were
explored. While this exploration was not exhaustive, it provides a basic
introduction to how one may access data and work with it. Additional
endpoints and corresponding functions exist and we encourage the user to
explore these while keeping in mind the examples contained in this
vignette.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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