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Rondi A. Butler

Researcher at Brown University

Publications -  41
Citations -  1585

Rondi A. Butler is an academic researcher from Brown University. The author has contributed to research in topics: DNA methylation & Population. The author has an hindex of 18, co-authored 33 publications receiving 1236 citations. Previous affiliations of Rondi A. Butler include University of Maryland, College Park & University of Maryland Center for Environmental Science.

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An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray.

TL;DR: Three approaches to select reference libraries for deconvoluting neutrophil, monocyte, B-lymphocyte, natural killer, and CD4+ and CD8+ T-cell fractions based on blood-derived DNA methylation signatures assayed using the Illumina HumanMethylationEPIC array are compared.
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An aryl hydrocarbon receptor (AHR) homologue from the soft-shell clam, Mya arenaria: evidence that invertebrate AHR homologues lack 2,3,7,8-tetrachlorodibenzo-p-dioxin and β-naphthoflavone binding

TL;DR: The absence of specific, high-affinity binding of the prototypical AHR ligands TCDD and BNF, is a property shared by known invertebrate AHR homologues, distinguishing them from vertebrates AHRs.
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Implications of LINE1 methylation for bladder cancer risk in women.

TL;DR: Hypomethylation at the long interspersed nuclear elements (LINE1), reflective of the level of global DNA methylation, in peripheral blood–derived DNA is associated with increased risk of bladder cancer, especially among women.
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Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL).

TL;DR: A novel algorithm for Identifying Optimal Libraries (IDOL) that dynamically scans a candidate set of cell-specific methylation markers to find libraries that optimize the accuracy of cell fraction estimates obtained from cell mixture deconvolution is introduced.
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Mature MicroRNA Sequence Polymorphism in MIR196A2 Is Associated with Risk and Prognosis of Head and Neck Cancer

TL;DR: A role for MIR196A2 genotype in susceptibility and prognosis of HNSCC is demonstrated, demonstrating a link between genetic variation in microRNAs and disease risk and patient survival.