William Stewart :: Nationwide Children's Hospital, Columbus, Ohio

William Stewart, Ph.D,

William  Stewart, Ph.D,

Contact Information

The Research Institute at Nationwide Children's Hospital
575 Children's Crossroad
Columbus, OH 43215 [ map ]
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Dr. Stewart develops statistical methods for researchers who seek quick and efficient analyses of new and computationally challenging data. His research interests include developing methods for newly emerging data types that are motivated by scientific discovery (e.g. SNP intensity data of related individuals). Using both family and population based data, he has developed improved methods for mapping genetic risk variants for psychiatric disorder (e.g. genes and CNVs related to Alzheimer's disease and bipolar disorder, respectively), and for estimating genetic maps by combining information efficiently from multiple studies (i.e. meta-analyses). In addition, he has a general interest in deterministic math models, gene networks, and problems that arise in computational molecular biology. Most of his methods employ a rich variety of deterministic and stochastic algorithms, Monte Carlo sampling techniques, and various optimization procedures to estimate genetic quantities of interest (e.g. lod scores, kinships, CNV frequencies and carrier status) in fairly general settings.

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Languages Spoken:

  • English

Research Interests

Education and Training

Undergraduate School

  • San Francisco State University
    Date Completed: 05/01/1999


  • University of Washington
    Date Completed: 05/01/2002


  • University of Washington
    Date Completed: 11/01/2005

Post Doctoral

  • University of Michigan
    Date Completed: 06/01/2008

Professional Experience


  • Principal Investigator, Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital


  • [begin-bold]Stewart, WCL[end-bold]. 2016. The Fundamentals of Statistical Data Analysis. In Systems Immunology: An Introduction to Modeling for Scientists. Edited by Das J, Jayaprakash C. Milton Park: Taylor & Francis.
  • [begin-bold]Stewart WCL[end-bold], Hager VR. 2016. A Powerful Test of Independent Assortment that Determines Genome-wide Significance Quickly and Accurately.  Heredity. Vol. 117, no. 2. (August): 109-13.
  • Subaran RL; Conte JM, [begin-bold]Stewart WCL[end-bold], Greenberg DA. 2015. Pathogenic EFHC1 mutations are tolerated in healthy individuals dependent on reported ancestry.  EPILEPSIA. Vol. 56, no. 2. (February): 188-194.
  • [begin-bold]Stewart WCL[end-bold], Huang Y, Greenberg DA, Vieland VJ. 2014. Next Generation Linkage and Association Methods Applied to Hypertension: A Multi-Faceted Approach to the Analysis of Sequence Data.  BMC Genetics Proceedings. Vol. 8, no. June: 715-719.
  • Heyer GL, Kelsey M, Rose SC, Perkins SQ, Lee JE, [begin-bold]Stewart WCL[end-bold]. 2014. PedMIDAS-based scoring underestimates migraine disability on non-school days.  Headache. Vol. 54, no. 6. (June): 1048-1053.
  • Greenberg, DA., [begin-bold]Stewart WCL[end-bold]. 2014. Remind me again what disease we are studying? A population genetics, genetic analysis, and real data perspective on why progress on identifying genetic influences on common epilepsies has been so slow?. In Genetic analysis of idiopathic epilepsies: challenges and strategies. Edited by O. Steinlen, ed.. Oxford: Elsevier.
  • Kambhampat S, Stewart C, [begin-bold]Stewart WCL[end-bold], Kelley J, and Ramnath R. 2014. Managing Tiny Tasks for Efficient, Data-Parallel Subsampling.  The Second IEEE Conference on Cloud Engineering. Vol. 1, no. March: 1-8.
  • [begin-bold]Stewart WCL[end-bold], Cerise J. 2013. Increasing the Power of Association Studies with Affected Families, Unrelated Cases and Controls.  Frontier Genetics. Vol. 24, no. 4. (October): e200.
  • Lipner EM, Tomer Y, Noble JA, Monti MC, Lonsdale JT, Corso B, Stewart WCL, Greenberg DA. 2013. HLA class I and II alleles are associated with microvascular complications of type 1 diabetes.  Human Immunology. Vol. 74, no. 5. (May): 538-544.
  • Lipner, EM, Tomer Y, Noble JA, Monti MC, Lonsdale JT, Corso B, [begin-bold]Stewart WCL[end-bold], Greenberg DA. 2013. HLA class I and II alleles are associated with microvascular complications of type 1 diabetes.  HUMAN IMMUNOLOGY. Vol. 74, no. 5. (May): 538-544.
  • [begin-bold]Stewart WCL[end-bold], Cerise J. 2013. Increasing the power of association studies with affected families, unrelated cases and controls.  Frontiers in genetics. Vol. 4, no. January: 200-205.
  • [begin-bold]Stewart WCL[end-bold], Subaran R. 2012. Obtaining accurate p-values from a dense SNP linkage scan.  Human Heredity. Vol. 74, no. 1. (October): 12-16.
  • Greenberg DA, [begin-bold]Stewart WC[end-bold]. 2012. How should we be searching for genes for common epilepsy? A critique and a prescription.  Epilepsia. Vol. 53, no. September: 4:72-80.
  • [begin-bold]Stewart WCL[end-bold], Subaran RL. 2012. Obtaining Accurate p Values from a Dense SNP Linkage Scan.  HUMAN HEREDITY. Vol. 74, no. 1. (January): 12-16.
  • [begin-bold]Stewart WCL[end-bold], Drill EN, Greenberg DA. 2011. Finding Disease genes: A fast and flexible approach for analyzing high-throughput data.  European Journal of Human Genetics. Vol. 19, no. 10. (October): 1090-1094.
  • He C, Weeks DE, Buyske S, Abecasis GR, [begin-bold]Stewart WC[end-bold], Matise TC. 2011. Enhanced genetic maps from family-based disease studies: population-specific comparisons.  BMC Medical Genetics. Vol. 19, no. 12:15. (January): 1471-2350.
  • Rodriguez-Murillo L, Subaran R, [begin-bold]Stewart WCL[end-bold], Sreemanta P, Marathe S, Barst, RJ, Chung WK, Greenberg DA. 2010. Novel Loci Interacting Epistatically with Bone Morphogenetic Protein Receptor 2 Cause Familial Pulmonary Arterial Hypertension.  Journal of Heart and Lung Transplantation. Vol. 29, no. 2. (February): 174-80.
  • [begin-bold]Stewart WCL[end-bold], Peljto AL, Greenberg DA. 2010. Multiple Subsampling of Dense SNP Data Localizes Disease Genes with Increased Precision.  HUMAN HEREDITY. Vol. 69, no. 3. (January): 152-159.
  • Greenberg DA, [begin-bold]Stewart WCL[end-bold], Rowland PL. 2009. Paraoxonase Genes and Susceptibility to ALS.  Neurology. Vol. 73, no. 1. (July): 11-2.
  • Zoellner S, Su G, [begin-bold]Stewart WCL[end-bold], Chen Y, McInnis MG, Burmeister M. 2009. Bayesian EM Algorithm for Scoring Polymorphic Deletions From SNP Data and Application to a Common CNV on 8q24.  Genetic Epidemiology. Vol. 33, no. 4. (May): 357-368.
  • Matise TC, Chen F, Chen W, De La Vega FM, Hansen M, He C, Hyland F, Kennedy GC, Kong X, Murray S, Ziegle J, [begin-bold]Stewart WCL[end-bold], Buyske SG. 2007. A Second-Generation Combined Linkage-Physical Map of the Human Genome.  Genome Research. Vol. 17, no. 12. (December): 1783-6.
  • [begin-bold]Stewart WCL[end-bold]. 2007. Improving estimates of genetic maps: A meta-analysis based approach.  Genetic Epidemiology. Vol. 31, no. 5. (July): 408-16.
  • [begin-bold]Stewart WCL[end-bold], Thompson, EA. 2006. Improving Estimates of Genetic Maps: A Maximum Likelihood Approach.  Biometrics. Vol. 62, no. 3. (September): 728-34.
  • Sieh W, Basu S, Fu A, Rothstein J, Scheet P, [begin-bold]Stewart W[end-bold], Sung Y, Thompson E, Wijsman E. 2005. Comparison of marker types and map assumptions using MCMC-based linkage analysis of COGA data.  BMC Genetics. Vol. 6:Suppl 1, no. December: eS11.
  • George AW, Basu S, Li N, Rothstein J, Sieberts SK, [begin-bold]Stewart W[end-bold], Wijsman E, Thompson EA. 2003. Approaches to mapping genetically correlated complex traits.  BMC Genetics. Vol. 4:Suppl 1, no. December: eS71.
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