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Jacob J. Michaelson, PhD

Roy J Carver Associate Professor of Psychiatry and Neuroscience
Division Director, Computational and Molecular Psychiatry
Associate Professor of Psychiatry
Associate Professor of Communication Sciences and Disorders
Associate Professor of Biomedical Engineering (BME)

Contact Information

B030 Medical Laboratories
25 S. Grand Avenue
Iowa City, IA 52242


MS, Biological Engineering, Utah State University, Logan UT
PhD, Computational Biology, Technische Universität Dresden, Dresden, Germany
Postdoctoral Fellow, Autism genomics, Jonathan Sebat Laboratory, University of California, San Diego, La Jolla, California, USA


Michaelson, J. J. (2012). Whole genome sequencing in autism identifies hotspots for de novo germline mutation. Cell, 151(7), 1431-42. PMID: 23260136.

Michaelson, J. J. (2012). forestSV: structural variant discovery through statistical learning. Nat Methods, 9(8), 819-21. PMID: 22751202.

Dautel, F., Kalkhof, S., Trump, S., Michaelson, J., Beyer, A., Lehmann, I. & Von Bergen, M. (2011). DIGE-based protein expression analysis of B[a]P-exposed hepatoma cells reveals a complex stress response including alterations in oxidative stress, cell cycle control, and cytoskeleton motility at toxic and subacute concentrations. J Proteome Res, 10(2), 379-93. PMID: 21171653.

Michaelson, J. J. (2010). Data-driven assessment of eQTL mapping methods. BMC Genomics, 11, 502. PMID: 20849587.

Michaelson, J. J. (2009). Detection and interpretation of expression quantitative trait loci (eQTL). Methods, 48(3), 265-76. PMID: 19303049.

Champine, P. J., Michaelson, J., Weimer, B. C., Welch, D. R. & DeWald, D. B. (2007). Microarray analysis reveals potential mechanisms of BRMS1-mediated metastasis suppression. Clin Exp Metastasis, 24(7), 551-565. PMID: 17896182.

Loguercio, S., Overall, R. W., Michaelson, J. J., Wiltshire, T., Pletcher, M. T., Miller, B. H., Walker, J. R., Kempermann, G., Su, A. I. & Beyer, A. Integrative analysis of low- and high-resolution eQTL. PLoS One, 5(11), e13920. PMID: 21085707.

Koomar, T., Michaelson, J. J. (2020). Genetic Intersections of Language and Neuropsychiatric Conditions. Current Psychiatry Reports, 22(1). DOI: 10.1007/s11920-019-1123-z.

Feliciano, P., Zhou, X., Astrovskaya, I., Turner, T. N., Wang, T., Brueggeman, L., Barnard, R., Hsieh, A., Snyder, L. G., Muzny, D. M., Sabo, A., Gibbs, R. A., Eichler, E. E., O’Roak, B. J., Michaelson, J. J., Volfovsky, N., Shen, Y. & Chung, W. K. (2019). Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes. npj Genomic Medicine, 4(1). DOI: 10.1038/s41525-019-0093-8.

Dogan, M. V., Grumbach, I. M., Michaelson, J. J. & Philibert, R. A. (2018). Integrated genetic and epigenetic prediction of coronary heart disease in the Framingham Heart Study. PloS one, 13(1), e0190549. PMID: 29293675.

Feliciano, P., Daniels, A. M., Snyder, L. G., Beaumont, A., Camba, A., Esler, A., Gulsrud, A. G., Mason, A., Nicholson, A., Paolicelli, A. M., McKenzie, A. P., Rachubinski, A. L., Stephens, A. N., Simon, A. R., Gutierrez, A., Stedman, A., Shocklee, A. D., Swanson, A., Finucane, B., Hilscher, B. A., Hauf, B., O'Roak, B. J., McKenna, B., Robertson, B. E., Rodriguez, B., Vernoia, B. M., Van Metre, Bonnie,, Bradley, C., Cohen, C., Erickson, C. A., Harkins, C., Hayes, C., Lord, C., Martin, C. L., Ortiz, C., Ochoa-Lubinoff, C., Peura, C., Rice, C. E., Rosenberg, C. R., Smith, C. J., Thomas, C., Taylor, C. M., Casey, L., Walston, White Corrie H.,, Amaral, D. G., Coury, D. L., Sarver, D. E., Istephanous, D., Li, D., Dzung Cong Nugyen,, Fox, E. A., Butter, E. M., Berry-Kravis, E., Courchesne, E., Fombonne, E. J., Hofammann, E., Lamarche, E., Wodka, E. L., Matthews, E. T., O'Connor, E., Palen, E., Gwynette, M. F., Miller, F., Dichter, G. S., Marzano, G., Stein, G., Hutter, H., Kaplan, H. E., Li, H., Lechniak, H., Schneider, H. L., Zaydens, H., Arriaga, I., Gerdts, J. A., Cubells, J. F., Cordova, J. M., Gunderson, J., Lillard, J., Manoharan, J., McCracken, J. T., Michaelson, J. J., Neely, J., Orobio, J., Pandey, J., Piven, J., Scherr, J., Sutcliffe, J. S., Tjernagel, J., Wallace, J., Callahan, K., Dent, K., Schweers, K. A., Hamer, K. E., Law, J. K., Lowe, K., O'Brien, K., Smith, K., Pawlowski, K. G., Pierce, K. L., Roeder, K., Abbeduto, L. J., Berry, L. N., Cartner, L. A., Coppola, L. A., Carpenter, L., Cordeiro, L., DeMarco, L., Grosvenor, L. P., Higgins, L., Huang-Storms, L. Y., Hosmer-Quint, L., Herbert, L. M., Kasparson, L., Prock, L. M., Pacheco, L. D., Raymond, L., Simon, L., Soorya, L. V., Wasserburg, L., Lazar, M., Alessandri, M., Brown, M., Currin, M. H., Heyman, M., Hale, M. N., Jones, M., Jordy, M., Morrier, M. J., Sahin, M., Siegel, M. S., Verdi, M., Parlade, M. V., Yinger, M., Bardett, N., Hanna, N., Harris, N., Pottschmidt, N., Russo-Ponsaran, N., Takahashi, N., Ousley, O. Y., Juarez, A. P., Manning, P., Annett, R. D., Bernier, R. A., Clark, R. D., Landa, R. J., Goin-Kochel, R. P., Remington, R., Schultz, R. T., Brewster, S. J., Booker, S., Carpenter, S., Eldred, S., Francis, S., Friedman, S. L., Homer, S., Hepburn, S., Jacob, S., Kanne, S., Lee, S. J., Mastel, S. A., Plate, S., Qiu, S., Sandhu, S., Thompson, S., White, S., Myers, V. J., Singh, V., Yang, W. S., Warren, Z., Amatya, A., Ace, A. J., Chatha, A. S., Lash, A. E., Negron, B., Rigby, C., Ridenour, C., Stock, C. M., Schmidt, D., Fisk, I., Acampado, J., Nestle, J. L., Nestle, J. A., Layman, K., Butler, M. E., Kent, M., Mallardi, M. D., Carriero, N., Lawson, N., Volfovsky, N., Edgar, R., Marini, R., Rana, R., Ganesan, S., Shah, S., Ramsey, T., Chin, W., Jensen, W., Krentz, A. D., Gruber, A. J., Sabo, A., Salomatov, A., Eng, C., Muzny, D., Astrovskaya, I., Gibbs, R. A., Han, X., Shen, Y., Reichardt, L. F. & Chung, W. K. (2018). SPARK: A US Cohort of 50,000 Families to Accelerate Autism Research. (Vols. 97). (3), pp. 488-493. NEURON. DOI: 10.1016/j.neuron.2018.01.015.

McKenna, B., Koomar, T., Vervier, K., Kremsreiter, J. & Michaelson, J. J. (2018). Whole-genome sequencing in a family with twin boys with autism and intellectual disability suggests multimodal polygenic risk. COLD SPRING HARBOR MOLECULAR CASE STUDIES, 4(6). DOI: 10.1101/mcs.a003285.

Lutter, M., Bahl, E., Hannah, C., Hofammann, D., Acevedo, S., Cui, H., McAdams, C. J. & Michaelson, J. J. (2017). Novel and ultra-rare damaging variants in neuropeptide signaling are associated with disordered eating behaviors. PLoS One, 12(8), e0181556.

Vervier, K., Michaelson, J. J. (2017). TiSAn: Estimating tissue-specific effects of genetic variants.

Michaelson, J. J. (2017). Genetic approaches to understanding psychiatric disease. Neurotherapeutics.

Dehzangi, A., Lopez, Y., Lal, S. P., Taherzadeh, G., Michaelson, J., Sattar, A., Tsunoda, T. & Sharma, A. (2017). PSSM-Suc: Accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction. J Theor Biol, 425, 97-102.

Michaelson, J. J., Shin, M. K., Koh, J. Y., Brueggeman, L., Zhang, A., Katzman, A., McDaniel, L., Fang, M., Pufall, M. & Pieper, A. A. (2017). Neuronal PAS domain proteins 1 and 3 are master regulators of neuropsychiatric risk genes. Biol Psychiatry.

Bahl, E., Koomar, T. & Michaelson, J. (2017). cerebroViz: An R package for anatomical visualization of spatiotemporal brain data. (Vols. 33). (5), pp. 762-763. Bioinformatics.

Michaelson, J. J., Shin, M., Koh, J., Brueggerman, L., Zhang, A., Katzman, A., McDaniel, L., Fang, M., Pufall, M. & Pieper, A. A. (2017). NPAS1 and NPAS3 are master regulators of neuropsychiatric risk genes. Biological Psychiatry.

Vervier, K., Michaelson, J. (2016). SLINGER: Large-scale learning for predicting gene expression. Scientific Reports, 6, 39360. PMID: 27996030.

Mueller, K., Murray, J., Michaelson, J., Christiansen, M., Riley, S. & Tomblin, J. (2016). Common Genetic Variants in FOXP2 Are Not Associated with Individual Differences in Language Development. PloS one, 11(4). PMID: 27064276.

Hing, B., Ramos, E., Braun, P., McKane, M., Jancic, D., Tamashiro, K., Lee, R., Michaelson, J., Druley, T. & Potash, J. (2015). Adaptation of the Targeted Capture Methyl-Seq Platform for the Mouse Genome identifies Novel Tissue-Specific DNA Methylation Patterns of Genes Involved in Neurodevelopment. Epigentics, 10(7), 581-96. PMID: 25985232.

Corominas, R., Yang, X., Lin, G., Kang, S., Shen, Y., Ghamsari, L., Broly, M., Rodriguez, M., Tam, S., Trigg, S. & Fan, C. (2014). Protein Interaction Network of alternatively Spliced Isoforms from Brain Links Genetic Risk Factors for Autism. Nature Communicaitons, 5(3650). PMID: 24722188.

Picotti, P., Ziza-Clement, M., Lam, H., Campbell, D., Schmidt, A., Deutsch, E., Rost, H., Sun, Z., Rinner, O. & Reiter, L. (2013). A Complete Mass-Spectrometric Map of the Yeast Proteome Applied to Quantitative Trait Analysis. Nature, 494(7436), 266-70.

Korn, A., Polak, P., Nemesh, J., Michaelson, J., Sebat, J., Sunyaev, S. & McCarroll, S. (2012). Differential Relationship of DNA Replication timing to Different Forms of Human Mutation and Variation. American Journal of Human Genetics, 91(6), 1033-40. PMID: 23176822.

Ackermann, M., Clement-Ziza, M., Michaelson, J. & Beyer, A. (2012). Teamwork: Improved eQTL Mapping Using Combinations of Machine Learning Methods. PloS one, 7(7).

Malhotra, D., McCarthy, S., Michaelson, J., Vacic, V., Burdick, K., Yoon, S., Cichon, S., Corvin, A., Gary, S. & Gershon, E. (2011). High Frequencies of de Novo CNVs in Bipolar Disordera nd Schizophrenia. Neuron, 72(6), 951-63.

Michaelson, J., Trump, S., Rudzok, S., Grabsch, C., Madureira, D., Dautel, F., Mai, J., Attinger, S., Schirmer, K. & Von Bergen, M. (2011). Transciptional Signatures of Regulatory and Toxic Responses to Benzo-[a]-pyrene exposure. BMC Genomics, 12(1).

Chen, D., Liang, M., Weimer, B., Peel, M., Michaelson, J., Davis, E. & Wu, Y. (2008). Identification of Dehydration Responsive Genes from Two Non-Nodulated Alfalfa Cultivars Using Medicago Truncatula Microarrays. Acta Physiologiae Plantarum, 30(2), 183-99.

Vervier, K., Michaelson, J. J. TiSAn: Estimating Tissue Specific Effects of Coding and Noncoding Variants. Bioinformatics. DOI: 10.1093/bioinformatics/bty301.

Brueggeman, L., Koomar, T. & Michaelson, J. J. Forecasting autism gene discovery with machine learning and genome-scale data. Cold Spring Harbor Laboratory. DOI: 10.1101/370601.