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

Antiepileptic activity of preferential inhibitors of persistent sodium current.

Anderson LL, Thompson CH, Hawkins NA, Nath RD, Petersohn AA, Rajamani S, Bush WS, Frankel WN, Vanoye CG, Kearney JA, George AL,. Evidence from basic neurophysiology and molecular genetics has implicated persistent sodium current conducted by voltage-gated sodium (NaV ) channels as a contributor to the pathogenesis of epilepsy. Many antiepileptic drugs target NaV channels […]

eMERGEing progress in genomics-the first seven years.

Crawford DC, Crosslin DR, Tromp G, Kullo IJ, Kuivaniemi H, Hayes MG, Denny JC, Bush WS, Haines JL, Roden DM, McCarty CA, Jarvik GP, Ritchie MD,. The electronic MEdical Records & GEnomics (eMERGE) network was established in 2007 by the National Human Genome Research Institute (NHGRI) of the National Institutes of Health (NIH) in part […]

Automated quantification of pancreatic β-cell mass.

Golson ML, Bush WS, Brissova M,. β-Cell mass is a parameter commonly measured in studies of islet biology and diabetes. However, the rigorous quantification of pancreatic β-cell mass using conventional histological methods is a time-consuming process. Rapidly evolving virtual slide technology with high-resolution slide scanners and newly developed image analysis tools has the potential to […]

Recent Publications

  1. Ray, NR, Kunkle, BW, Hamilton-Nelson, K, Kurup, JT, Rajabli, F, Qiao, M, Vardarajan, BN, Cosacak, MI, Kizil, C, Jean-Francois, M et al.. Extended genome-wide association study employing the African genome resources panel identifies novel susceptibility loci for Alzheimer's disease in individuals of African ancestry. Alzheimers Dement 2024; : . PubMed PMID:38958117 .
  2. Zhu, C, Tong, T, Farrell, JJ, Martin, ER, Bush, WS, Pericak-Vance, MA, Wang, LS, Schellenberg, GD, Haines, JL, Lunetta, KL et al.. MitoH3: Mitochondrial Haplogroup and Homoplasmic/Heteroplasmic Variant Calling Pipeline for Alzheimer's Disease Sequencing Project. J Alzheimers Dis Rep 2024; 8 (1): 575-587. PubMed PMID:38746629 PubMed Central PMC11091720.
  3. Griswold, AJ, Rajabli, F, Gu, T, Arvizu, J, Golightly, CG, Whitehead, PL, Hamilton-Nelson, KL, Adams, LD, Sanchez, JJ, Mena, PR et al.. Generalizability of Tau and Amyloid Plasma Biomarkers in Alzheimer's Disease Cohorts of Diverse Genetic Ancestries. medRxiv 2024; : . PubMed PMID:38645114 PubMed Central PMC11030471.
  4. Zhang, X, Gomez, L, Below, JE, Naj, AC, Martin, ER, Kunkle, BW, Bush, WS. An X Chromosome Transcriptome Wide Association Study Implicates ARMCX6 in Alzheimer's Disease. J Alzheimers Dis 2024; 98 (3): 1053-1067. PubMed PMID:38489177 .
  5. Guo, Z, Duan, D, Tang, W, Zhu, J, Bush, WS, Zhang, L, Zhu, X, Jin, F, Feng, H. magpie: A power evaluation method for differential RNA methylation analysis in N6-methyladenosine sequencing. PLoS Comput Biol 2024; 20 (2): e1011875. PubMed PMID:38346081 PubMed Central PMC10890765.
  6. Leung, YY, Naj, AC, Chou, YF, Valladares, O, Schmidt, M, Hamilton-Nelson, K, Wheeler, N, Lin, H, Gangadharan, P, Qu, L et al.. Human whole-exome genotype data for Alzheimer's disease. Nat Commun 2024; 15 (1): 684. PubMed PMID:38263370 PubMed Central PMC10805795.
  7. Archer, DB, Eissman, JM, Mukherjee, S, Lee, ML, Choi, SE, Scollard, P, Trittschuh, EH, Mez, JB, Bush, WS, Kunkle, BW et al.. Longitudinal change in memory performance as a strong endophenotype for Alzheimer's disease. Alzheimers Dement 2024; 20 (2): 1268-1283. PubMed PMID:37985223 PubMed Central PMC10896586.
  8. Eissman, JM, Archer, DB, Mukherjee, S, Lee, ML, Choi, SE, Scollard, P, Trittschuh, EH, Mez, JB, Bush, WS, Kunkle, BW et al.. Sex-specific genetic architecture of late-life memory performance. Alzheimers Dement 2024; 20 (2): 1250-1267. PubMed PMID:37984853 PubMed Central PMC10917043.
  9. Wang, A, Shen, J, Rodriguez, AA, Saunders, EJ, Chen, F, Janivara, R, Darst, BF, Sheng, X, Xu, Y, Chou, AJ et al.. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants. Nat Genet 2023; 55 (12): 2065-2074. PubMed PMID:37945903 PubMed Central PMC10841479.
  10. Greenfest-Allen, E, Valladares, O, Kuksa, PP, Gangadharan, P, Lee, WP, Cifello, J, Katanic, Z, Kuzma, AB, Wheeler, N, Bush, WS et al.. NIAGADS Alzheimer's GenomicsDB: A resource for exploring Alzheimer's disease genetic and genomic knowledge. Alzheimers Dement 2024; 20 (2): 1123-1136. PubMed PMID:37881831 PubMed Central PMC10916966.
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