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 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. Pillai, JA, Bebek, G, Khrestian, M, Bena, J, Bergmann, CC, Bush, WS, Leverenz, JB, Bekris, LM. TNFRSF1B Gene Variants and Related Soluble TNFR2 Levels Impact Resilience in Alzheimer's Disease. Front Aging Neurosci 2021; 13 : 638922. PubMed PMID:33716716 PubMed Central PMC7947258.
  2. Huynh-Le, MP, Fan, CC, Karunamuni, R, Thompson, WK, Martinez, ME, Eeles, RA, Kote-Jarai, Z, Muir, K, Schleutker, J, Pashayan, N et al.. Polygenic hazard score is associated with prostate cancer in multi-ethnic populations. Nat Commun 2021; 12 (1): 1236. PubMed PMID:33623038 PubMed Central PMC7902617.
  3. Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T et al.. Publisher Correction: Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction. Nat Genet 2021; 53 (3): 413. PubMed PMID:33473200 .
  4. Stein, CM, Benchek, P, Bartlett, J, Igo, RP, Sobota, RS, Chervenak, K, Mayanja-Kizza, H, von Reyn, CF, Lahey, T, Bush, WS et al.. Methylome-wide analysis reveals epigenetic marks associated with resistance to tuberculosis in HIV-infected individuals from East Africa. J Infect Dis 2021; : . PubMed PMID:33400784 .
  5. Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T et al.. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction. Nat Genet 2021; 53 (1): 65-75. PubMed PMID:33398198 .
  6. Liu, LY, Bush, WS, Koyutürk, M, Karakurt, G. Interplay between traumatic brain injury and intimate partner violence: data driven analysis utilizing electronic health records. BMC Womens Health 2020; 20 (1): 269. PubMed PMID:33287806 PubMed Central PMC7720451.
  7. 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.
  8. 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 2021; 148 (1): 99-105. PubMed PMID:32930425 .
  9. 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.
  10. 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.
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