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Jason H. Moore, B.S., M.A., M.S., Ph.D.

Professor of Genetics
Professor of Community and Family Medicine
Third Century Professor
Director of the Institute for Quantitative Biomedical Sciences (iQBS)
Director of the Graduate Program in Quantitative Biomedical Sciences (QBS)
Associate Director, Norris-Cotton Cancer Center (NCCC)
Associate Director, SYNERGY
Editor-in-Chief, BioData Mining

Community and Family Medicine

University of Michigan - PhD 1999 (Human Genetics)
University of Michigan - MA 1998 (Applied Statistics)
University of Michigan - MS 1994 (Human Genetics)
Florida State University - BS 1991 (Biological Sciences)

Molecular and Cellular Biology Graduate Programs
Molecular Pathogenesis Program
Neuroscience Center at Dartmouth
Norris Cotton Cancer Center
Quantitative Biomedical Sciences


Contact Information:

One Medical Center Dr.
HB 7937
Lebanon NH 03756

Office: 706 Rubin
Phone: 603-653-9939
Fax: 603-653-9952
Email: Jason.H.Moore@Dartmouth.edu

Assistant: Kim Becker
Asst. Phone: 603-653-3634
Asst. Email: Kimberly.S.Becker@Dartmouth.EDU

Professional Interests:

Artificial Intelligence, Artificial Life, Biodefense, Bioinformatics, Biomedical Informatics, Biostatistics, Canalization, Cancer, Cardiovascular Disease, Clinical Informatics, Complex Adaptive Systems, Computational Biology, Computational Genetics, Computational Intelligence, Data Mining, Digital Genetics, Environmental Health Sciences, Epidemiology, Epistasis, Evolutionary Computing, Functional Genomics, Gene-Environment Interaction, Genetic Architecture, Genetic Epidemiology, Genetic Heterogeneity, Genome-Wide Association Studies, Genomics, Human-Computer Interaction, Human Genetics, Information Visualization, Machine Learning, Metagenomics, Network Science, Neuropsychiatric Disease, Personal Genetics, Personalized Medicine, Pharmacogenetics, Pleiotropy, Reaction Norms, Software, Statistical Genetics, Systems Biology, Video Games, Visual Analytics

Rotations and Thesis Projects:

Rotation students are always welcome. Research projects range from applied analysis of complex biomedical data to theoretical aspects of computer science, complex adaptive systems and bioinformatics.

Grant Information:

NIH R01 AI59694 (PI - Moore) "Bioinformatics Strategies for Biodefense Vaccine Research"

NIH R01 LM009012 (PI - Moore) "Machine Learning Prediction of Cancer Susceptibility"

NIH R01 LM010098 (PI - Moore) "Bioinformatics Strategies for Genome-Wide Association Analysis"

NIH R01 EY022300 (PI - Moore) "Bioinformatics Approaches for Visual Disease Genetics"

NIH R01 LM011360 (PI - Moore) "Bioinformatics Strategies for Multidimensional Brain Imaging"

NIH P20 RR024475 (PI - Moore) "Quantitative Biology Research Institute"

NIH R25 CA134286 (PI - Moore) "Training Program for Quantitative Population Sciences"

NIH R41 GM097765 (PI - Moore) “CG-GRID: Computational Genetics Grid Resource for Interaction Discovery”

Courses Taught:

GEN/QBS 146: Molecular and Computational Genomics


Dr. Moore was an Ingram Associate Professor of Cancer Research and a member of the Center for Human Genetics Research at Vanderbilt University before joining the faculty at The Geisel School of Medicine at Dartmouth in 2004. He was elected a Fellow of the American Association for the Advancement of Science (AAAS) in 2011. He was selected as a Kavli Fellow of the National Academy of Sciences in 2013. He serves as Editor-in-Chief of the journal BioData Mining.

Selected Publications:


Moore JH
The critical need for computational methods and software for simulating complex genetic and genomic data.
Genet Epidemiol 2015 Jan; 39(1):1
PMID: 25476032

Moore JH, Amos R, Kiralis J, Andrews PC
Heuristic identification of biological architectures for simulating complex hierarchical genetic interactions.
Genet Epidemiol 2015 Jan; 39(1):25-34
PMID: 25395175

Chernikova DA, Koestler DC, Hoen AG, Housman ML, Hibberd PL, Moore JH, Morrison HG, Sogin ML, Zain-Ul-Abideen M, Madan JC
Fetal exposures and perinatal influences on the stool microbiota of premature infants.
J Matern Fetal Neonatal Med 2014 Dec 16; :1-7
PMID: 25394613

Lekman M, Hossjer O, Andrews P, Kallberg H, Uvehag D, Charney D, Manji H, Rush JA, McMahon FJ, Moore JH, Kockum I
The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study.
BioData Min 2014; 7:19
PMID: 25279001

Gorlov IP, Moore JH, Peng B, Jin JL, Gorlova OY, Amos CI
SNP characteristics predict replication success in association studies.
Hum Genet 2014 Dec; 133(12):1477-86
PMID: 25273843

Wang YJ, Tayo BO, Bandyopadhyay A, Wang H, Feng T, Franceschini N, Tang H, Gao J, Sung YJ, Elston RC, Williams SM, Cooper RS, Mu TW, Zhu X
The association of the vanin-1 N131S variant with blood pressure is mediated by endoplasmic reticulum-associated degradation and loss of function.
PLoS Genet 2014 Sep; 10(9):e1004641
PMID: 25233454

Davis MA, Gilbert-Diamond D, Karagas MR, Li Z, Moore JH, Williams SM, Frost HR
A dietary-wide association study (DWAS) of environmental metal exposure in US children and adults.
PLoS One 2014; 9(9):e104768
PMID: 25198543

Zieselman AL, Fisher JM, Hu T, Andrews PC, Greene CS, Shen L, Saykin AJ, Moore JH
Computational genetics analysis of grey matter density in Alzheimer's disease.
BioData Min 2014; 7:17
PMID: 25165488

Yan J, Du L, Kim S, Risacher SL, Huang H, Moore JH, Saykin AJ, Shen L
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm.
Bioinformatics 2014 Sep 1; 30(17):i564-71
PMID: 25161248

Hu T, Banzhaf W, Moore JH
The effects of recombination on phenotypic exploration and robustness in evolution.
Artif Life 2014 Fall; 20(4):457-70
PMID: 25148550