WILLIAM S. BUSH, PH.D.

Associate Director for Bioinformatics Research

William S. Bush, Ph.D. is an Associate Professor in the Department of Population and Quantitative Health Sciences and the Institute for Computational Biology at Case Western Reserve University. Dr. Bush received his Ph.D. 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 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. Beecham, GW, Vardarajan, B, Blue, E, Bush, W, Jaworski, J, Barral, S, DeStefano, A, Hamilton-Nelson, K, Kunkle, B, Martin, ER et al.. Rare genetic variation implicated in non-Hispanic white families with Alzheimer disease. Neurol Genet 2018; 4 (6): e286. PubMed PMID:30569016 PubMed Central PMC6278241.
  2. Arabnejad, M, Dawkins, BA, Bush, WS, White, BC, Harkness, AR, McKinney, BA. Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS. BioData Min 2018; 11 : 23. PubMed PMID:30410580 PubMed Central PMC6215626.
  3. Kallianpur, AR, Gittleman, H, Letendre, S, Ellis, R, Barnholtz-Sloan, JS, Bush, WS, Heaton, R, Samuels, DC, Franklin, DR Jr, Rosario-Cookson, D et al.. Cerebrospinal Fluid Ceruloplasmin, Haptoglobin, and Vascular Endothelial Growth Factor Are Associated with Neurocognitive Impairment in Adults with HIV Infection. Mol. Neurobiol. 2018; : . PubMed PMID:30209774 .
  4. Bis, JC, Jian, X, Kunkle, BW, Chen, Y, Hamilton-Nelson, KL, Bush, WS, Salerno, WJ, Lancour, D, Ma, Y, Renton, AE et al.. Whole exome sequencing study identifies novel rare and common Alzheimer's-Associated variants involved in immune response and transcriptional regulation. Mol. Psychiatry 2018; : . PubMed PMID:30108311 PubMed Central PMC6375806.
  5. Ji, X, Bossé, Y, Landi, MT, Gui, J, Xiao, X, Qian, D, Joubert, P, Lamontagne, M, Li, Y, Gorlov, I et al.. Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun 2018; 9 (1): 3221. PubMed PMID:30104567 PubMed Central PMC6089967.
  6. Igo, RP Jr, Hall, NB, Malone, LL, Hall, JB, Truitt, B, Qiu, F, Tao, L, Mupere, E, Schnell, A, Hawn, TR et al.. Fine-mapping analysis of a chromosome 2 region linked to resistance to Mycobacterium tuberculosis infection in Uganda reveals potential regulatory variants. Genes Immun. 2018; : . PubMed PMID:30100616 PubMed Central PMC6374218.
  7. Smieszek, S, Jia, P, Samuels, DC, Zhao, Z, Barnholtz-Sloan, J, Kaur, H, Letendre, S, Ellis, R, Franklin, DR, Hulgan, T et al.. Nuclear-Mitochondrial interactions influence susceptibility to HIV-associated neurocognitive impairment. Mitochondrion 2018; : . PubMed PMID:30026132 PubMed Central PMC6336535.
  8. Deming, Y, Dumitrescu, L, Barnes, LL, Thambisetty, M, Kunkle, B, Gifford, KA, Bush, WS, Chibnik, LB, Mukherjee, S, De Jager, PL et al.. Sex-specific genetic predictors of Alzheimer's disease biomarkers. Acta Neuropathol. 2018; 136 (6): 857-872. PubMed PMID:29967939 PubMed Central PMC6280657.
  9. Cooke Bailey, JN, Crawford, DC, Goldenberg, A, Slaven, A, Pencak, J, Schachere, M, Bush, WS, Sedor, JR, O'Toole, JF. Willingness to Participate in a National Precision Medicine Cohort: Attitudes of Chronic Kidney Disease Patients at a Cleveland Public Hospital. J Pers Med 2018; 8 (3): . PubMed PMID:29949895 PubMed Central PMC6164471.
  10. Crawford, DC, Bailey, JNC, Miskimen, K, Miron, P, McCauley, JL, Sedor, JR, ƠToole, JF, Bush, WS. Somatic T-cell Receptor Diversity in a Chronic Kidney Disease PatientPopulation Linked to Electronic Health Records. AMIA Jt Summits Transl Sci Proc 2018; 2017 : 63-71. PubMed PMID:29888042 PubMed Central PMC5961818.
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