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 and clinical risk prediction model for postoperative atrial fibrillation.

Kolek MJ, Muehlschlegel JD, Bush WS, Parvez B, Murray KT, Stein CM, Shoemaker MB, Blair MA, Kor KC, Roden DM, Donahue BS, Fox AA, Shernan SK, Collard CD, Body SC, Darbar D,. Postoperative atrial fibrillation (PoAF) is common after coronary artery bypass grafting. We previously showed that atrial fibrillation susceptibility single nucleotide polymorphisms (SNPs) at […]

Knowledge-constrained K-medoids Clustering of Regulatory Rare Alleles for Burden Tests.

Sivley RM, Fish AE, Bush WS,. Rarely occurring genetic variants are hypothesized to influence human diseases, but statistically associating these rare variants to disease is challenging due to a lack of statistical power in most feasibly sized datasets. Several statistical tests have been developed to either collapse multiple rare variants from a genomic region into […]

SecureMA: protecting participant privacy in genetic association meta-analysis.

Xie W, Kantarcioglu M, Bush WS, Crawford D, Denny JC, Heatherly R, Malin BA,. Sharing genomic data is crucial to support scientific investigation such as genome-wide association studies. However, recent investigations suggest the privacy of the individual participants in these studies can be compromised, leading to serious concerns and consequences, such as overly restricted access […]

Recent Publications

  1. 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 .
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. Lee, WP, Choi, SH, Shea, MG, Cheng, PL, Dombroski, BA, Pitsillides, AN, Heard-Costa, NL, Wang, H, Bulekova, K, Kuzma, AB et al.. Association of Common and Rare Variants with Alzheimer's Disease in over 13,000 Diverse Individuals with Whole-Genome Sequencing from the Alzheimer's Disease Sequencing Project. medRxiv 2023; : . PubMed PMID:37693521 PubMed Central PMC10491367.
  9. Tejeda, M, Farrell, J, Zhu, C, Wetzler, L, Lunetta, KL, Bush, WS, Martin, ER, Wang, LS, Schellenberg, GD, Pericak-Vance, MA et al.. DNA from multiple viral species is associated with Alzheimer's disease risk. Alzheimers Dement 2024; 20 (1): 253-265. PubMed PMID:37578203 PubMed Central PMC10840621.
  10. Walters, S, Contreras, AG, Eissman, JM, Mukherjee, S, Lee, ML, Choi, SE, Scollard, P, Trittschuh, EH, Mez, JB, Bush, WS et al.. Associations of Sex, Race, and Apolipoprotein E Alleles With Multiple Domains of Cognition Among Older Adults. JAMA Neurol 2023; 80 (9): 929-939. PubMed PMID:37459083 PubMed Central PMC10352930.
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