Andrew Marderstein

Andrew Marderstein

PhD candidate in the Tri-I Computational Biology & Medicine program using genomics to improve our understanding and treatment of human diseases.

Publications

(last updated on 4/6/21 during my PhD)

You can also view my updated list of publications using Google Scholar or PubMed.

(^ = co-first or co-corresponding authors)

Submitted, in preparation:

  1. Lima, S.F., Gogokhia, L., Viladomiu, M., Woo, V., Marderstein, A.R., Putzel, G., Scherl, E.J., Brown, S.E., Hambor, J.,Rosenthal, M., Jacob, V., Crawford, C., Chou, L., Longman, R. Transferable Immune Reactive Microbiota Determine Clinical and Immunologic Outcome of Fecal Microbiota Transplant in Ulcerative Colitis. (In prep)
  2. Kulm, S., Marderstein, A.R., Mezey, J.^, Elemento, O.^ A systematic framework for assessing the clinical impact of polygenic risk scores. Preprint on medRxiv. doi: https://doi.org/10.1101/2020.04.06.20055574 (Under review)
  3. Shah, Y.^, Verma, A.^, Marderstein, A.R., Bhinder, B., Elemento, O. Pan-cancer analysis reveals unique molecular patterns associated with age. Preprint on medRxiv. doi: https://doi.org/10.1101/2020.08.30.20184762. (Under review)
  4. Lima, S., Rupert, A., Putzel, G., Marderstein, A.R., Woo, V., Viladomiu, M., Metz, M., Scherl, E., Longman, R. The Intestinal Microbiome Stratifies Clinical Response to Sulfasalazine in IBD-associated Spondyloarthritis. (In revision)
  5. Kong, Y., Harrington, D., Marderstein, A.R., Alonso, L.C. Low frequency T2D-associated polymorphisms at CCND2 influence CCND2 mRNA abundance, but not proliferation, in human pancreatic islets. (In revision)

Published:

  1. Marderstein, A.R., Kulm, S., Peng, C., Tamimi, R.M., Clark, A.G.^, Elemento, O.^ (2021). A polygenic-score-based approach for identification of gene-drug interactions stratifying breast cancer risk. The American Journal of Human Genetics. doi: 10.1016/j.ajhg.2021.07.008
  2. Marderstein, A.R., Davenport, E.R., Van Hout, C.V., Kulm, S., Elemento, O.^, Clark, A.G.^ (2021). Leveraging phenotypic variability to identify genetic interactions in human phenotypes. American Journal of Human Genetics 108, 1-19. https://doi.org/10.1016/j.ajhg.2020.11.016
    –> Cornell Chronicle highlight: “Cross-campus team probes gene-environment interactions”
    –> Weill Cornell Newsroom highlight: “Researchers simplify the study of gene-environment interactions”
  3. Marderstein, A.R., Uppal, M., Verma, A., Bhinder, B., Tayyebi, Z., Mezey, J., Clark, A.G.^, Elemento, O.^ (2020). Demographic and genetic factors influence the abundance of infiltrating immune cells in human tissues. Nature Communications 11, 2213. https://doi.org/10.1038/s41467-020-16097-9
  4. Castellanos, J.G., Woo, V., Viladomiu, M., Putzel, G., Lima, S., Diehl, G.E., Marderstein, A.R., Gandara, J., Perez, A.R., Withers, D.R., Targan, S.R., Shih, D.Q., Scherl, E.J., Longman, R.S. (2018). Microbiota-induced TNF-like ligand 1A drives Group 3 innate lymphoid cell-mediated barrier protection and intestinal T cell activation during colitis. Immunity. 49(6):1077-1089.e5. doi: 10.1016/j.immuni.2018.10.014
  5. Marderstein, A.R. (2017). Approximate Bayesian Computation for Studying Selective Sweep Signatures in Local Coalescence Trees. Honors Thesis, College of Agriculture and Life Sciences, Cornell University. Supervisor: Philipp Messer.