BMBryan M. McCauley

Bryan M. McCauley

*This is an algorithmically generated author record based on publicly available information.

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Bryan M. McCauley has a total of 27 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Multi‑scale immune and spatial profiling of sclerosing adenosis and surrounding breast tissue identifies an immune‑cold field phenotype associated with breast cancer risk

    by Nicole Cruz-Reyes, Hongling Liang, Melody Stallings-Mann, Laura Pacheco-Spann, Bryan M. McCauley, Yuanhang Liu, Robert A Vierkant, Jessica L. Fischer, Denice L. Gehling, Lisa R. Seymour, et al.

    Benign breast disease (BBD) is common and confers heterogeneous increases in breast cancer risk; however, risk prediction relies mainly on histopathology a

  • Open Access

    Epigenetic disease markers in primary sclerosing cholangitis and primary biliary cholangitis—methylomics of cholestatic liver disease

    by Brian D. Juran, Bryan M. McCauley, Elizabeth J. Atkinson, Erik M. Schlicht, Jackie K. Bianchi, Jason M. Vollenweider, Hong Ye, Nicholas F. LaRusso, Gregory J. Gores, Zhifu Sun, et al.

    Background: The epigenome, the set of modifications to DNA and associated molecules that control gene expression, cellular identity, and function, plays a major role in mediating cellular responses to outside factors. Thus, evaluation of the epigenetic state can provide insights into cellular adaptions occurring over the course of disease. Methods: We performed epigenome-wide association studies of primary sclerosing cholangitis (PSC) and primary biliary cholangitis (PBC) using the Illumina MethylationEPIC Bead Chip. Results: We found evidence of increased epigenetic age acceleration and differences in predicted immune cell composition in patients with PSC and PBC. Epigenetic profiles demonstrated differences in predicted protein levels including increased levels of tumor necrosis factor receptor superfamily member 1B in patients with cirrhotic compared to noncirrhotic PSC and PBC. Epigenome-wide association studies of PSC discovered strongly associated 5′-C-phosphate-G-3′ sites in genes including vacuole membrane protein 1 and SOCS3, and epigenome-wide association studies of PBC found strong 5′-C-phosphate-G-3′ associations in genes including NOD-like receptor family CARD domain containing 5, human leukocyte antigen-E, and PSMB8. Analyses identified disease-associated canonical pathways and upstream regulators involved with immune signaling and activation of macrophages and T-cells. A comparison of PSC and PBC data found relatively little overlap at the 5′-C-phosphate-G-3′ and gene levels with slightly more overlap at the level of pathways and upstream regulators. Conclusions: This study provides insights into methylation profiles of patients that support current concepts of disease mechanisms and provide novel data to inspire future research. Studies to corroborate our findings and expand into other -omics layers will be invaluable to further our understanding of these rare diseases with the goal to improve and individualize prognosis and treatment.


  • Open Access

    Identification of Genetic Interaction with Risk Factors Using a Time-To-Event Model

    by Mariza De Andrade, Sebastian M. Armasu, Bryan M. McCauley, Tanya M. Petterson, John A. Heit

    Background: Certain diseases can occur with and without a trigger. We use Venous Thromboembolism (VTE) as our example to identify genetic interaction with pregnancy in women with VTE during pre- or postpartum. Pregnancy is one of the major risk factors for VTE as it accounts for 10% of maternal deaths. Methods: We performed a whole genome association analysis using the Cox Proportional Hazard (CoxPH) model adjusted for covariates to identify genetic variants associated with the time-to-event of VTE related to pre- or postpartum during the childbearing age of 18–45 years using a case-only design in a cohort of women with VTE. Women with a VTE event after 45 years of age were censored and contributed only follow-up time. Results: We identified two intragenic single nucleotide polymorphisms (SNPs) at genome-wide significance in the PURB gene located on chromosome 7, and two additional intragenic SNPs, one in the LINGO2 gene on chromosome 9 and one in RDXP2 on chromosome X. Conclusions: We showed that the time-to-event model is a useful approach for identifying potential hazard-modification of the genetic variants when the event of interest (VTE) occurs due to a risk factor (pre- or post-partum).