Titles and Education
- Post Doctoral Research Associate – University of Wisconsin Madison
- Doctorate of Philosophy – Shahid Bahonar University of Kerman, Agricultural Engineering and Animal Breeding and Genetics
- Masters of Science – University of Tehran, Animal Breeding and Genetics
- Bachelor of Science – Zabol University, Agricultural engineering
Research
Dr. Momen’s research interests span a broad range of topics including quantitative genetics and animal breeding. Broadly defined, his research aims to integrate cutting edge genomic and phenomic approaches to understand how animals respond to genomic improvement. His research goal is to provide means to improve these responses through development of statistical models for dissection of complex disease. He is currently applying these approaches to spontaneous diseases in companion animal models, specifically the dog and the horse.
Responsibilities
Dr. Momen is a a statistical and quantitative geneticist and a post-doctoral research associate in the Comparative Orthopaedic & Genetics Research Laboratory at University of Wisconsin-Madison, School of Veterinary Medicine.
Clinical Interests
Genomic dissection of spontaneous disease in compansion animals using Whole-Genome sequence data
Developing statistical models for GWAS and genome prediction in companion animal
De novo genome assembly
Recent Publications
- Momen, M., Mehrgardi, A.A., Sheikhy, A. et al. A predictive assessment of genetic correlations between traits in chickens using markers. Genet Sel Evol 49, 16 (2017). https://doi.org/10.1186/s12711-017-0290-9
- Momen, M., Mehrgardi, A.A., Sheikhi, A. et al. Predictive ability of genome-assisted statistical models under various forms of gene action. Sci Rep 8, 12309 (2018). https://doi.org/10.1038/s41598-018-30089-2
- Pegolo, S., Momen, M., Morota, G. et al. Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle. Sci Rep 10, 7751 (2020). https://doi.org/10.1038/s41598-020-64575-3
- Mehdi Momen, Malachy T Campbell, Harkamal Walia, Gota Morota, Predicting Longitudinal Traits Derived from High-Throughput Phenomics in Contrasting Environments Using Genomic Legendre Polynomials and B-Splines, G3 Genes|Genomes|Genetics, Volume 9, Issue 10, 1 October 2019, Pages 3369–3380, https://doi.org/10.1534/g3.119.400346
- Momen, M., Ayatollahi Mehrgardi, A., Amiri Roudbar, M., Kranis, A., Mercuri Pinto, R., Valente, B. D., Morota, G., Rosa, G. J., & Gianola, D. (2018). Including phenotypic causal networks in genome-wide association studies using mixed effects structural equation models. Frontiers in Genetics, 9. https://doi.org/10.3389/fgene.2018.00455