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Shizhong Han is a Lead Investigator at the Lieber Institute and an Associate Professor of Psychiatry and Behavioral Sciences at The Johns Hopkins School of Medicine. His research aims to understand the genetic basis of brain disorders and translate genetic discoveries to novel therapeutics. To achieve these goals, research in his group employs advanced statistical genetic methods, bioinformatics tools and deep learning techniques that integrates multi-omics datasets. Some of ongoing projects include: 1) understanding the roles of noncoding genetic variations in gene regulation and brain disorders, 2) identifying core genes and gene regulatory circuits involved in brain disorders, 3) developing novel therapeutics based on drug-induced gene expression perturbation signatures.


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Staff Scientist I–Statistical Genetics

Selected Publications

Selected Publications

Zhou J, Chen Q, Braun PR, Perzel Mandell KA, Jaffe AE, Tan HY, Hyde TM, Kleinman JE, Potash JB, Shinozaki G, Weinberger DR, Han S. Deep learning predicts DNA methylation regulatory variants in the human brain and elucidates the genetics of psychiatric disorders. Proc Natl Acad Sci U S A. 2022 Aug 23;119(34):e2206069119. doi: 10.1073/pnas.2206069119.

Wang K, Han S. Effect of selection bias on two sample summary data based Mendelian randomization. Sci Rep. 2021 Apr 7;11(1):7585.

Wang M, Huang J, Liu Y, Ma L, Potash J, Han S. COMBAT: A Combined Association Test for Genes using Summary Statistics. Genetics. 2017; 207(3):883-891.

Andersen AM, Pietrzak RH, Kranzler HR, Ma L, Zhou H, Liu X, Kramer J, Kuperman S, Edenberg HJ, Nurnberger JI, Rice JP, Tischfield JA, Goate A, Foroud TM, Meyers JL, Porjesz B, Dick DD, Hesselbrock V, Boerwinkle E, Southwick SM, Krystal JH, Weissman MM, Levinson DF, Potash JB, Gelernter J, Han S. Polygenic scores for major depressive disorder and risk of alcohol dependence. JAMA Psychiatry. 2017;74(11):1153-1160.

Martinez-Rivera A, Hao J, Tropea T, Giordano T, Kosovsky M, Lee A, Huganir, Striessnig J, Addy N, Han S*, Rajadhyaksha A. Enhancing VTA Cav1.3 L-type Ca2+ channel activity promotes cocaine and mood-related behaviors via overlapping AMPA receptor mechanisms in the nucleus accumbens. Mol Psychiatry. 2017;22(12):1735-1745 (*co-corresponding author).

Han S, Yang BZ, Kranzler HR, Liu X, Zhao H, Farrer LA, Boerwinkle E, Potash JB, Gelernter J. Integrating GWASs and human protein interaction networks identifies a gene subnetwork underlying alcohol dependence. American Journal of Human Genetics. 2013;93(6):1027-1034.

Curriculum Vitae

Curriculum Vitae

Download a copy of my CV here.