2019
DOI: 10.1101/781567
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

The sensitivity of transcriptomics BMD modeling to the methods used for microarray data normalization

Abstract: Whole-genome expression data generated by microarray studies have shown promise for quantitative human health risk assessment. While numerous approaches have been developed to determine benchmark doses (BMDs) from probeset-level dose responses, sensitivity of the results to methods used for normalization of the data has not yet been systematically investigated. Normalization of microarray data converts raw hybridization signals to expression estimates that are expected to be proportional to the amounts of tran… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 23 publications
0
1
0
Order By: Relevance
“…We chose liver and thyroid tissues for study, because both are target organs for toxicity after exposure to other brominated chemicals (Dunnick et al 1997;National Toxicology Program 2015). Toxicogenomic data after a five-day exposure scenario provides information on mechanisms, disease pathways and biomarkers that can be used for predicting long term toxicity (Mezencev and Auerbach 2019;National Academy of Sciences 2005).The goals of the current study are to provide information for comparing the toxicity of legacy and emerging flame retardants and to prioritize the need for more in-depth flame retardant toxicity studies.…”
Section: Introductionmentioning
confidence: 99%
“…We chose liver and thyroid tissues for study, because both are target organs for toxicity after exposure to other brominated chemicals (Dunnick et al 1997;National Toxicology Program 2015). Toxicogenomic data after a five-day exposure scenario provides information on mechanisms, disease pathways and biomarkers that can be used for predicting long term toxicity (Mezencev and Auerbach 2019;National Academy of Sciences 2005).The goals of the current study are to provide information for comparing the toxicity of legacy and emerging flame retardants and to prioritize the need for more in-depth flame retardant toxicity studies.…”
Section: Introductionmentioning
confidence: 99%