Publications

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benchmark dose estimation (BMD) (28 POSTS)

2025 (1 POST)

Bayesian gene set benchmark dose estimation for “omic” responses

Zilber D, Messier KP, House J, Parham F, Auerbach SS, Wheeler MW. 2025. Bayesian gene set benchmark dose estimation for “omic” responses. Bioinformatics 41(1):btaf008; doi: 10.1093/bioinformatics/btaf008. PMCID: PMC11783320.

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2023 (1 POST)

ToxicR: A computational platform in R for computational toxicology and dose–response analyse

Wheeler MW, Lim S, House JS, Shockley KR, Bailer AJ, Fostel J, Yang L, Talley D, Raghuraman A, Gift JS. 2023. ToxicR: A computational platform in R for computational toxicology and dose–response analyses. Comp Toxicol 25(Feb):100259; doi: 10.1016/j.comtox.2022.100259. PMCID: PMC9997717.

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2022 (2 POSTS)

Continuous model averaging for benchmark dose analysis: Averaging over distributional forms

Wheeler MW, Cortiñas Abrahantes J, Aerts M, Gift JS, Allen Davis J. 2022. Continuous model averaging for benchmark dose analysis: Averaging over distributional forms. Environmetrics 33(5):e2728; doi: 10.1002/env.2728. PMCID: PMC9799099.

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ALOHA: Aggregated local extrema splines for high-throughput dose–response analysis

Davidson SE, Wheeler MW, Auerbach SS, Sivaganesan S, Medvedovic M. 2022. ALOHA: Aggregated local extrema splines for high-throughput dose–response analysis. Comp Toxicol. 21(Feb):100196; doi: 10.1016/j.comtox.2021.100196. PMCID: PMC8785973.

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2020 (4 POSTS)

An extended and unified modeling framework for benchmark dose estimation for both continuous and binary data

Aerts M, Wheeler MW, Abrahantes JC. 2020. An extended and unified modeling framework for benchmark dose estimation for both continuous and binary data. Environmetrics 31(7):e2630; doi: 10.1002/env.2630. PMCID: PMC9432821.

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Performance of HepaRG and HepG2 cells in the high-throughput micronucleus assay for in vitro genotoxicity assessment

Guo X, Seo JE, Petibone D, Tryndyak V, Lee UJ, Zhou T, Robison TW, Mei N. 2020. Performance of HepaRG and HepG2 cells in the high-throughput micronucleus assay for in vitro genotoxicity assessment. J Toxicol Environ Health A 83(21-22):702-717; doi: 10.1080/15287394.2020.1822972.

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Quantitative risk assessment: Developing a Bayesian approach to dichotomous dose–response uncertainty

Wheeler MW, Blessinger T, Shao K, Allen BC, Olszyk L, Davis JA, Gift JS. 2020. Quantitative risk assessment: Developing a Bayesian approach to dichotomous dose–response uncertainty. Risk Anal 40(9):1706-22; doi: 10.1111/risa.13537. PMCID: PMC7722241.

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Performance of high‑throughput CometChip assay using primary human hepatocytes: A comparison of DNA damage responses with in vitro human hepatoma cell lines

Seo JE, Wu Q, Bryant M, Ren L, Shi Q, Robison TW, Mei N, Manjanatha MG, Guo X. 2020. Performance of high‑throughput CometChip assay using primary human hepatocytes: A comparison of DNA damage responses with in vitro human hepatoma cell lines. Arch Toxicol 94(6):2207-2244; doi: 10.1007/s00204-020-02736-z.

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2019 (3 POSTS)

Development of an oral reference dose for the perfluorinated compound GenX

Thompson CM, Fitch SE, Ring C, Rish W, Cullen JM, Haws LC. 2019. Development of an oral reference dose for the perfluorinated compound GenX. J Appl Toxicol 39(9):1267–1282; doi: 10.1002/jat.3812.

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Quantitative comparison in vitro genotoxicity between metabolically competent HepaRG cells and HepG2 cells using the high-content Comet Chip assa

Seo JE, Tryndyak V, Wu Q, Dreval K, Pogribny I, Bryant M, Zhou T, Robison TW, et al. 2019. Quantitative comparison in vitro genotoxicity between metabolically competent HepaRG cells and HepG2 cells using the high-content Comet Chip assay. Arch Toxicol 93(5):1433-1448; doi: 10.1007/s00204-019-02406-9.

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Quantal risk assessment database: A database for exploring patterns in quantal dose‐response data in risk assessment and its application to develop priors for Bayesian dose‐response analysi

Wheeler MW, Piegorsch WW, Bailer AJ. 2019. Quantal risk assessment database: A database for exploring patterns in quantal dose‐response data in risk assessment and its application to develop priors for Bayesian dose‐response analysis. Risk Anal 39(3):616-29; doi: 10.1111/risa.13218. PMCID: PMC6408269

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2018 (1 POST)

Benchmark dose (BMD) modeling: Current practice, issues, and challenges

Haber LT, Dourson ML, Allen BC, Hertzberg RC, Parker A, Vincent MJ, et al. 2018. Benchmark dose (BMD) modeling: Current practice, issues, and challenges. Crit Rev Toxicol 48(5):387–415; doi: 10.1080/10408444.2018.1430121.

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2017 (3 POSTS)

Bayesian quantile impairment threshold benchmark dose estimation for continuous endpoints

Wheeler MW, Bailer AJ, Cole T, Park RM, Shao K. 2017. Bayesian quantile impairment threshold benchmark dose estimation for continuous endpoints. Risk Anal 37(11):2107-18; doi: 10.1111/risa.12762. PMCID: PMC5740488.

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Benchmark dose modeling estimates of the concentrations of inorganic arsenic that induce changes to the neonatal transcriptome, proteome, and epigenome in a pregnancy cohort

Rager JE, Auerbach SS, Chappell GA, Martin E, Thompson C, Fry RC. 2017. Benchmark dose modeling estimates of the concentrations of inorganic arsenic that induce changes to the neonatal transcriptome, proteome, and epigenome in a pregnancy cohort. Chem Res Toxicol 30(10):1911-1920; doi: 10.1021/acs.chemrestox.7b00221.

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Benchmark dose analysis of Chemical Effects in Biological Systems (CEBS) datasets

Lea I, Yang L, Rashid A, Fostel JM. Benchmark dose analysis of Chemical Effects in Biological Systems (CEBS) datasets. Abstract 2918-P412. Presented at Society of Toxicology 56th Annual Meeting, Baltimore, MD, March 2017.

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2015 (2 POSTS)

Historical context and recent advances in exposure-response estimation for deriving occupational exposure limits

Wheeler MW, Park R, Bailer A, Whittaker C. 2015. Historical context and recent advances in exposure-response estimation for deriving occupational exposure limits. J Occup Environ Hyg 12(sup1):S7-S17; doi: 10.1080/15459624.2015.1076934. PMCID: PMC4685605.

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Quantile benchmark dose estimation for continuous endpoints

Wheeler MW, Shao K, Bailer AJ. 2015. Quantile benchmark dose estimation for continuous endpoints. Environmetrics 26(5):363-72; doi: 10.1002/env.2432.

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2013 (2 POSTS)

An empirical comparison of low-dose extrapolation from points of departure (PoD) compared to extrapolations based upon methods that account for model uncertainty

Wheeler MW, Bailer AJ. 2013. An empirical comparison of low-dose extrapolation from points of departure (PoD) compared to extrapolations based upon methods that account for model uncertainty. Regul Toxicol Pharmacol 67(1):75-82; doi: 10.1016/j.yrtph.2013.06.006. PMCID: PMC4724873

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Development of a chronic noncancer oral reference dose and drinking water screening level for sulfolane using benchmark dose modeling

Thompson CM, Gaylor DW, Tachovsky JA, Perry C, Carakostas MC, Haws LC. 2013. Development of a chronic noncancer oral reference dose and drinking water screening level for sulfolane using benchmark dose modeling. J Appl Toxicol 33(12):1395-1406; doi: 10.1002/jat.2799.

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2012 (1 POST)

Monotonic Bayesian semiparametric benchmark dose analysis

Wheeler MW, Bailer AJ. 2012. Monotonic Bayesian semiparametric benchmark dose analysis. Risk Anal 32(7):1207-18; doi: 10.1111/j.1539-6924.2011.01786.x. PMID: 22385024.

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