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

Genetic and clinical risk prediction model for postoperative atrial fibrillation.

Kolek MJ, Muehlschlegel JD, Bush WS, Parvez B, Murray KT, Stein CM, Shoemaker MB, Blair MA, Kor KC, Roden DM, Donahue BS, Fox AA, Shernan SK, Collard CD, Body SC, Darbar D,. Postoperative atrial fibrillation (PoAF) is common after coronary artery bypass grafting. We previously showed that atrial fibrillation susceptibility single nucleotide polymorphisms (SNPs) at […]

Knowledge-constrained K-medoids Clustering of Regulatory Rare Alleles for Burden Tests.

Sivley RM, Fish AE, Bush WS,. Rarely occurring genetic variants are hypothesized to influence human diseases, but statistically associating these rare variants to disease is challenging due to a lack of statistical power in most feasibly sized datasets. Several statistical tests have been developed to either collapse multiple rare variants from a genomic region into […]

SecureMA: protecting participant privacy in genetic association meta-analysis.

Xie W, Kantarcioglu M, Bush WS, Crawford D, Denny JC, Heatherly R, Malin BA,. Sharing genomic data is crucial to support scientific investigation such as genome-wide association studies. However, recent investigations suggest the privacy of the individual participants in these studies can be compromised, leading to serious concerns and consequences, such as overly restricted access […]

Recent Publications

  1. Bush, WS, Wheeler, N, Beaulieu-Jones, B, Darabos, C. Packaging Biocomputing Software to Maximize Distribution and Reuse. Pac Symp Biocomput 2020; 25 : 739-742. PubMed PMID:31797644 .
  2. Crawford, DC, Lin, J, Cooke Bailey, JN, Kinzy, T, Sedor, JR, O'Toole, JF, Bush, WS. Frequency of ClinVar Pathogenic Variants in Chronic Kidney Disease Patients Surveyed for Return of Research Results at a Cleveland Public Hospital. Pac Symp Biocomput 2020; 25 : 575-586. PubMed PMID:31797629 PubMed Central PMC6931908.
  3. Wheeler, NR, Benchek, P, Kunkle, BW, Hamilton-Nelson, KL, Warfe, M, Fondran, JR, Haines, JL, Bush, WS. Hadoop and PySpark for reproducibility and scalability of genomic sequencing studies. Pac Symp Biocomput 2020; 25 : 523-534. PubMed PMID:31797624 PubMed Central PMC6956992.
  4. Bis, JC, Jian, X, Kunkle, BW, Chen, Y, Hamilton-Nelson, KL, Bush, WS, Salerno, WJ, Lancour, D, Ma, Y, Renton, AE et al.. Correction: Whole exome sequencing study identifies novel rare and common Alzheimer's-Associated variants involved in immune response and transcriptional regulation. Mol. Psychiatry 2019; : . PubMed PMID:31636380 .
  5. Dumitrescu, L, Barnes, LL, Thambisetty, M, Beecham, G, Kunkle, B, Bush, WS, Gifford, KA, Chibnik, LB, Mukherjee, S, De Jager, PL et al.. Sex differences in the genetic predictors of Alzheimer's pathology. Brain 2019; 142 (9): 2581-2589. PubMed PMID:31497858 PubMed Central PMC6736148.
  6. Bush, WS, Cooke Bailey, JN, Beno, MF, Crawford, DC. Bridging the Gaps in Personalized Medicine Value Assessment: A Review of the Need for Outcome Metrics across Stakeholders and Scientific Disciplines. Public Health Genomics 2019; 22 (1-2): 16-24. PubMed PMID:31454805 PubMed Central PMC6752968.
  7. Kunkle, BW, Grenier-Boley, B, Sims, R, Bis, JC, Damotte, V, Naj, AC, Boland, A, Vronskaya, M, van der Lee, SJ, Amlie-Wolf, A et al.. Author Correction: Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat. Genet. 2019; 51 (9): 1423-1424. PubMed PMID:31417202 .
  8. Gardner, OK, Wang, L, Van Booven, D, Whitehead, PL, Hamilton-Nelson, KL, Adams, LD, Starks, TD, Hofmann, NK, Vance, JM, Cuccaro, ML et al.. RNA editing alterations in a multi-ethnic Alzheimer disease cohort converge on immune and endocytic molecular pathways. Hum. Mol. Genet. 2019; 28 (18): 3053-3061. PubMed PMID:31162550 PubMed Central PMC6737295.
  9. Li, Y, Xiao, X, Bossé, Y, Gorlova, O, Gorlov, I, Han, Y, Byun, J, Leighl, N, Johansen, JS, Barnett, M et al.. Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development. Oncotarget 2019; 10 (19): 1760-1774. PubMed PMID:30956756 PubMed Central PMC6442994.
  10. Kunkle, BW, Grenier-Boley, B, Sims, R, Bis, JC, Damotte, V, Naj, AC, Boland, A, Vronskaya, M, van der Lee, SJ, Amlie-Wolf, A et al.. Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat. Genet. 2019; 51 (3): 414-430. PubMed PMID:30820047 PubMed Central PMC6463297.
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