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

CC-logoCWRUlogowTag240x120

Featured Publications

Genetic analysis of biological pathway data through genomic randomization.

Yaspan BL, Bush WS, Torstenson ES, Ma D, Pericak-Vance MA, Ritchie MD, Sutcliffe JS, Haines JL,. Genome Wide Association Studies (GWAS) are a standard approach for large-scale common variation characterization and for identification of single loci predisposing to disease. However, due to issues of moderate sample sizes and particularly multiple testing correction, many variants of […]

Multivariate analysis of regulatory SNPs: empowering personal genomics by considering cis-epistasis and heterogeneity.

Turner SD, Bush WS,. Understanding how genetic variants impact the regulation and expression of genes is important for forging mechanistic links between variants and phenotypes in personal genomics studies. In this work, we investigate statistical interactions among variants that alter gene expression and identify 79 genes showing highly significant interaction effects consistent with genetic heterogeneity. […]

Genome simulation approaches for synthesizing in silico datasets for human genomics.

Ritchie MD, Bush WS,. Simulated data is a necessary first step in the evaluation of new analytic methods because in simulated data the true effects are known. To successfully develop novel statistical and computational methods for genetic analysis, it is vital to simulate datasets consisting of single nucleotide polymorphisms (SNPs) spread throughout the genome at […]

Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus.

Bush WS, Dudek SM, Ritchie MD,. Often in human genetic analysis, multiple tables of single nucleotide polymorphism (SNP) statistics are shown alongside a Haploview style correlation plot. Readers are then asked to make inferences that incorporate knowledge across these multiple sets of results. To better facilitate a collective understanding of all available data, we developed […]

Recent Publications

  1. Cooke Bailey, JN, Bush, WS, Crawford, DC. Editorial: The Importance of Diversity in Precision Medicine Research. Front Genet 2020; 11 : 875. PubMed PMID:33005167 PubMed Central PMC7479241.
  2. Karunamuni, RA, Huynh-Le, MP, Fan, CC, Thompson, W, Eeles, RA, Kote-Jarai, Z, Muir, K, UKGPCS Collaborators, Lophatananon, A, Tangen, CM et al.. African-specific improvement of a polygenic hazard score for age at diagnosis of prostate cancer. Int J Cancer 2020; : . PubMed PMID:32930425 .
  3. Tang, ZZ, Sliwoski, GR, Chen, G, Jin, B, Bush, WS, Li, B, Capra, JA. PSCAN: Spatial scan tests guided by protein structures improve complex disease gene discovery and signal variant detection. Genome Biol 2020; 21 (1): 217. PubMed PMID:32847609 PubMed Central PMC7448521.
  4. Dumitrescu, L, Mahoney, ER, Mukherjee, S, Lee, ML, Bush, WS, Engelman, CD, Lu, Q, Fardo, DW, Trittschuh, EH, Mez, J et al.. Genetic variants and functional pathways associated with resilience to Alzheimer's disease. Brain 2020; 143 (8): 2561-2575. PubMed PMID:32844198 PubMed Central PMC7447518.
  5. Griswold, AJ, Sivasankaran, SK, Van Booven, D, Gardner, OK, Rajabli, F, Whitehead, PL, Hamilton-Nelson, KL, Adams, LD, Scott, AM, Hofmann, NK et al.. Immune and Inflammatory Pathways Implicated by Whole Blood Transcriptomic Analysis in a Diverse Ancestry Alzheimer's Disease Cohort. J Alzheimers Dis 2020; 76 (3): 1047-1060. PubMed PMID:32597797 .
  6. Darst, BF, Wan, P, Sheng, X, Bensen, JT, Ingles, SA, Rybicki, BA, Nemesure, B, John, EM, Fowke, JH, Stevens, VL et al.. A Germline Variant at 8q24 Contributes to Familial Clustering of Prostate Cancer in Men of African Ancestry. Eur Urol 2020; 78 (3): 316-320. PubMed PMID:32409115 .
  7. Ji, X, Mukherjee, S, Landi, MT, Bosse, Y, Joubert, P, Zhu, D, Gorlov, I, Xiao, X, Han, Y, Gorlova, O et al.. Protein-altering germline mutations implicate novel genes related to lung cancer development. Nat Commun 2020; 11 (1): 2220. PubMed PMID:32393777 PubMed Central PMC7214407.
  8. 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 .
  9. 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.
  10. 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.
Search PubMed