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.
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 […]
Kodaman N, Aldrich MC, Smith JR, Signorello LB, Bradley K, Breyer J, Cohen SS, Long J, Cai Q, Giles J, Bush WS, Blot WJ, Matthews CE, Williams SM,. Using genetic data from an obesity candidate gene study of self-reported African Americans and European Americans, we investigated the number of Ancestry Informative Markers (AIMs) and candidate […]
A comparison of cataloged variation between International HapMap Consortium and 1000 Genomes Project data.
Buchanan CC, Torstenson ES, Bush WS, Ritchie MD,. Since publication of the human genome in 2003, geneticists have been interested in risk variant associations to resolve the etiology of traits and complex diseases. The International HapMap Consortium undertook an effort to catalog all common variation across the genome (variants with a minor allele frequency (MAF) […]
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. […]
A knowledge-driven interaction analysis reveals potential neurodegenerative mechanism of multiple sclerosis susceptibility.
Bush WS, McCauley JL, DeJager PL, Dudek SM, Hafler DA, Gibson RA, Matthews PM, Kappos L, Naegelin Y, Polman CH, Hauser SL, Oksenberg J, Haines JL, Ritchie MD, ,. Gene-gene interactions are proposed as an important component of the genetic architecture of complex diseases, and are just beginning to be evaluated in the context of […]
- 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 .
- 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.
- 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.
- 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 .
- 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.
- 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.
- 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 .
- 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.
- 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.
- 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.