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

Bioinformatics challenges in genome-wide association studies (GWAS).

De R, Bush WS, Moore JH,. Genome-wide association studies (GWAS) are a powerful tool for investigators to examine the human genome to detect genetic risk factors, reveal the genetic architecture of diseases and open up new opportunities for treatment and prevention. However, despite its successes, GWAS have not been able to identify genetic loci that […]

Associations between KCNJ6 (GIRK2) gene polymorphisms and pain-related phenotypes.

Bruehl S, Denton JS, Lonergan D, Koran ME, Chont M, Sobey C, Fernando S, Bush WS, Mishra P, Thornton-Wells TA,. G-protein coupled inwardly rectifying potassium (GIRK) channels are effectors determining degree of analgesia experienced upon opioid receptor activation by endogenous and exogenous opioids. The impact of GIRK-related genetic variation on human pain responses has received […]

Recent Publications

  1. Ciesielski, TH, Tosto, G, Durodoye, RO, Rajabali, F, Akinyemi, RO, Byrd, GS, Bush, WS, Kunkle, BW, Reitz, C, Vance, JM et al.. Country Level Incidence of Alzheimer Disease and Related Dementias is Associated with Increased Omega6 PUFA Consumption. medRxiv 2024; : . PubMed PMID:39148832 PubMed Central PMC11326357.
  2. Cheng, PL, Wang, H, Dombroski, BA, Farrell, JJ, Horng, I, Chung, T, Tosto, G, Kunkle, BW, Bush, WS, Vardarajan, B et al.. A Specialized Reference Panel with Structural Variants Integration for Improving Genotype Imputation in Alzheimer's Disease and Related Dementias (ADRD). medRxiv 2024; : . PubMed PMID:39108532 PubMed Central PMC11302603.
  3. 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; 20 (8): 5247-5261. PubMed PMID:38958117 PubMed Central PMC11350055.
  4. 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.
  5. 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.
  6. 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 .
  7. 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.
  8. 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.
  9. 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.
  10. 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.
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