WILLIAM S. BUSH, PHD, MS

Associate Director for Bioinformatics Research

William S. Bush, PhD, MS, is Associate Professor in the Department of Population and Quantitative Health Sciences and the Cleveland Institute for Computational Biology at Case Western Reserve University. Dr. Bush received his PhD at Vanderbilt University in Human Genetics in 2008 and then continued as a post-doctoral fellow in the Neurogenomics Training Program at Vanderbilt. Dr. Bush was recently named a Mt. Sinai Health Care Foundation Scholar. As a human geneticist and bioinformatician, Dr. Bush’s research interests include understanding the functional impact of genetic variation, developing statistical and bioinformatics approaches for integrating functional genomics knowledge into genetic analysis, and the use of electronic medical records for translational research.

Affiliations

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Featured Publications

ICD-9 tobacco use codes are effective identifiers of smoking status.

Wiley LK, Shah A, Xu H, Bush WS,. To evaluate the validity of, characterize the usage of, and propose potential research applications for International Classification of Diseases, Ninth Revision (ICD-9) tobacco codes in clinical populations.Using data on cancer cases and cancer-free controls from Vanderbilt’s biorepository, BioVU, we evaluated the utility of ICD-9 tobacco use codes […]

Interrogating the complex role of chromosome 16p13.13 in multiple sclerosis susceptibility: independent genetic signals in the CIITA-CLEC16A-SOCS1 gene complex.

Zuvich RL, Bush WS, McCauley JL, Beecham AH, De Jager PL, , Ivinson AJ, Compston A, Hafler DA, Hauser SL, Sawcer SJ, Pericak-Vance MA, Barcellos LF, Mortlock DP, Haines JL,. Multiple sclerosis (MS) is a neurodegenerative, autoimmune disease of the central nervous system, and numerous studies have shown that MS has a strong genetic component. […]

Recent Publications

  1. Lorincz-Comi, N, Yang, Y, Ajayakumar, J, Mews, M, Bermudez, V, Bush, W, Zhu, X. HORNET: tools to find genes with causal evidence and their regulatory networks using eQTLs. Bioinform Adv 2025; 5 (1): vbaf068. PubMed PMID:40270926 PubMed Central PMC12014422.
  2. Griswold, AJ, Rajabli, F, Gu, T, Arvizu, J, Golightly, CG, Whitehead, PL, Hamilton-Nelson, KL, Adams, LD, Sanchez, JJ, Mena, PR et al.. Generalizability of tau and amyloid plasma biomarkers in Alzheimer's disease cohorts of diverse genetic ancestries. Alzheimers Dement 2025; 21 (3): e14367. PubMed PMID:40133765 PubMed Central PMC11936763.
  3. Mews, MA, Naj, AC, Griswold, AJ, Alzheimer's Disease Genetics Consortium, Below, JE, Bush, WS. Brain and blood transcriptome-wide association studies identify five novel genes associated with Alzheimer's disease. J Alzheimers Dis 2025; : 13872877251326288. PubMed PMID:40111921 .
  4. Phillips, JM, Dumitrescu, LC, Archer, DB, Regelson, AN, Mukherjee, S, Lee, ML, Choi, SE, Scollard, P, Trittschuh, EH, Kukull, WA et al.. Novel modelling approaches to elucidate the genetic architecture of resilience to Alzheimer's disease. Brain 2025; : . PubMed PMID:40111762 .
  5. Durant, A, Mukherjee, S, Lee, ML, Choi, SE, Scollard, P, Klinedinst, BS, Trittschuh, EH, Mez, J, Farrer, LA, Gifford, KA et al.. Evaluating the association of APOE genotype and cognitive resilience in SuperAgers. medRxiv 2025; : . PubMed PMID:39830268 PubMed Central PMC11741496.
  6. Leung, YY, Lee, WP, Kuzma, AB, Nicaretta, H, Valladares, O, Gangadharan, P, Qu, L, Zhao, Y, Ren, Y, Cheng, PL et al.. Alzheimer's Disease Sequencing Project Release 4 Whole Genome Sequencing Dataset. medRxiv 2024; : . PubMed PMID:39677464 PubMed Central PMC11643159.
  7. Le Borgne, J, Gomez, L, Heikkinen, S, Amin, N, Ahmad, S, Choi, SH, Bis, J, Grenier-Boley, B, Rodriguez, OG, Kleineidam, L et al.. X-chromosome-wide association study for Alzheimer's disease. Mol Psychiatry 2024; : . PubMed PMID:39633006 .
  8. Liu, R, Qiao, X, Shi, Y, Peterson, CB, Bush, WS, Cominelli, F, Wang, M, Zhang, L. Constructing phylogenetic trees for microbiome data analysis: A mini-review. Comput Struct Biotechnol J 2024; 23 : 3859-3868. PubMed PMID:39554614 PubMed Central PMC11564040.
  9. Cruz-González, S, Gu, E, Gomez, L, Mews, M, Vance, JM, Cuccaro, ML, Cornejo-Olivas, MR, Feliciano-Astacio, BE, Byrd, GS, Haines, JL et al.. Methylation Clocks Do Not Predict Age or Alzheimer's Disease Risk Across Genetically Admixed Individuals. bioRxiv 2024; : . PubMed PMID:39464059 PubMed Central PMC11507840.
  10. Tong, T, Zhu, C, Farrell, JJ, Khurshid, Z, Alzheimer’s Disease Sequencing Project, Alzheimer’s Disease Neuroimaging Initiative, Martin, ER, Pericak-Vance, MA, Wang, LS, Bush, WS, Schellenberg, GD et al.. Blood-derived mitochondrial DNA copy number is associated with Alzheimer disease, Alzheimer-related biomarkers and serum metabolites. Alzheimers Res Ther 2024; 16 (1): 234. PubMed PMID:39444005 PubMed Central PMC11515778.
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