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Cohort Analytics Core

Assistant Research Physician

Precision Health Informatics Section

Adjunct Staff Clinician

Hematology Laboratory, Department of Laboratory Medicine, Clinical Center


M.D., Sun Yat-sen University, Guangzhou, China

M.S., Virginia Commonwealth University


Dr. Huan Mo completed his medical training from Sun Yat-sen University, in Guangzhou, China;  residency in Anatomic and Clinical Pathology (AP/CP) from Loma Linda University Health, CA (2016-2020); and a clinical fellowship in Hematopathology from the University of Texas MD Anderson Cancer Center, Tx (2021). Dr. Mo is board certified in Anatomic and Clinical Pathology, as well as in Hematopathology.

Dr. Mo also received a master’s degree in Bioinformatics from the Virginia Commonwealth University. After which he worked at the Vanderbilt University Medical Center (2012-2016), for the Department of Biomedical Informatics in electronic health record (EHR)-phenotyping. In 2022, he joined the Precision Health Informatics Section, NHGRI and later lead the Cohort Analytics Core (CAC).

Scientific Summary

As a pathologist, Dr. Mo’s research focuses on using multi-omics data to study associations of tumor classifications and prognostication with cyto-, molecular, and epigenetic alterations. He is interested and specialized in myeloid neoplasms with germline predisposition and germline and somatic variant classifications for hematolymphoid neoplasms. He also has expertise in using flow cytometry immunophenotyping in myeloid and lymphoid neoplasms, as well as detection of measurable residual diseases.

The NHGRI Cohort Analytics Core (CAC) provides phenotype-genotype correlation studies through large EHR-linked biobanks, such as All of Us Research Program and UK Biobank. They build complex phenotype cohorts based on diseases, biomarker measurements, and responses to medications which are used for genome-wide association studies (GWAS), phenome-wide association studies (PheWAS), and outcome studies. CAC also uses genotype-first approach for unbiased biobank population to study the phenotypes of genetic variants of interest. The Core also works closely with the NHGRI Reverse Phenotyping Core (RPC).



Mo H, Denny JC. The U.S. National Library of Medicine's impact on precision and genomic medicine. Inf Serv Use. 2022 May 10;42(1):71-80.

Pacheco JA, Rasmussen LV, Kiefer RC, Campion TR, Speltz P, Carroll RJ, Stallings SC, Mo H, Ahuja M, et al. A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments. J Am Med Inform Assoc. 2018;25(11):1540-1546.

Doss JR, Mo H, Carroll RJ, Crofford LJ, Denny JC. Phenome-wide association study comparing comorbid conditions of seropositive and seronegative rheumatoid arthritis patients. Arthritis Rheumatol. 2017;69(2):291-300.

Mo H, Jiang G, Pacheco JA, Kiefer R, Rasmussen LV, Pathak J, et al. A Decompositional approach to executing quality data model algorithms on the i2b2 platform. AMIA Jt Summits Transl Sci Proc. 2016;2016:167-75.

Mo H, Thompson WK, Rasmussen LV, Pacheco JA, Jiang G, Kiefer R, et al. Desiderata for computable representations of electronic health records-driven phenotype algorithms. J Am Med Inform Assoc. 2015;22(6):1220-30.

Mo H, Pacheco JA, Rasmussen LV, Speltz P, Pathak J, Denny JC, et al. A prototype for executable and portable electronic clinical quality measures using the KNIME analytics platform. AMIA Jt Summits Transl Sci Proc. 2015;2015: 127-31. (PMID: 26306254)

Wei WQ, Teixeira PL, Mo H, Cronin RM, Warner J, Denny JC. Combining billing codes, clinical notes, and medications from electronic health records. J Am Med Inform Assoc. 2015;23(e1):e20-7.


Khanlari M, Mo H, Kim DH, Sakhdari A, Young KH, Jain P, et al. Blastoid and pleomorphic mantle cell lymphoma demonstrate distinct clinicopathologic and genetic features. Am J Surg Pathol. 2023 Aug 1;47(8):849-858.

Bazinet A, Wang A, Li X, Jia F, Mo H, Wang W, et al. Automated quantification of measurable residual disease in chronic lymphocytic leukemia using an artificial intelligence-assisted workflow. Cytometry B Clin Cytom. 2023 Feb 23. doi: 10.1002/cyto.b.22116.

Mo H, Magaki S, Deisch JK, Raghavan R. Isocitrate dehydrogenase mutations are associated with different expression and DNA methylation patterns of OLIG2 in adult gliomas. J Neuropathol Exp Neurol. 2022 Aug 16;81(9):707-716.

Fang H, Wang SA, Hu S, Konoplev SN, Mo H, Liu W, et al. Acute promyelocytic leukemia: Immunophenotype and differential diagnosis by flow cytometry. Cytometry B Clin Cytom. 2022 Jul;102(4):283-291.

Jeong ISD, Mo H, Nguyen A, Chong EG, Tsai HHC, Moyers J, et al. Primary chemoradiation with cisplatin versus cetuximab for locally advanced head and neck cancer: A retrospective cohort study. Exp Hematol Oncol. 2020 Aug 5; 9:19.

Mo H, Yau D, Mirshahidi H, Guadiz T, Zuppan CW, Magaki S. AA amyloidosis associated with pulmonary squamous cell carcinoma treated with chemoradiation and immune checkpoint inhibitor therapy. Pathol Int. 2020 May;70(5):303-305.

Guo JU, Ma DK, Mo H, Ball MP, Jang MH, Bonaguidi MA, et al. Neuronal activity modifies the DNA methylation landscape in the adult brain. Nat Neurosci. 2011;14(10), 1345–1351.

Last updated: November 6, 2023