Education

Ph.D., Animal Breeding and Genetics, SBUK University,Kerman, Iran. April 2017
- Dissertation: “Predictive ability and sensitivity of Whole Genome Prediction (WGP) statistical Models for Genomic Selection in complex Traits with Additive, Dominance and Epistatic Genetic Architecture”.
- Advisor: Dr. Ahmad Ayatollahi Mehrgardi & Dr. Ali Esmailizadeh
Visiting Ph.D. Student. Animal Breeding and Genetics, University of Wisconsin–Madison, Wisc, USA.2015-2016
- Dissertation: “Development and predictive assessment of whole-genome prediction machines in Genomic selection and Genome-wide association studies”.
- Advisor: Prof. Daniel Gianola
M.S., Animal Breeding and Genetics,University of Tehran,Tehran, Iran. May 2010
- Dissertation: “Genetic analysis of reproductive and growth traits in purebred and crossbred lambs from three Iranian sheep breeds”.
- Advisor: Dr. Nasser Emam-Jomea Kashan

Research Experience

December 2018 - Current: Postdoctoral Research fellow
- Department of Animal and Poultry Science, Virginia Polytechnic Institute and State University,VA, USA
- Supervisor: Dr. Gota Morota
- Currently, I am developing statistical methodology for genomic prediction
June 2017 - November 2018: Lecturer and Researcher
- Department of Animal Science, SBUK University, Kerman, Iran
- Researcher in Statistical Genetics and Genomics

Publications

Predictive Ability of Statistical Genomic Prediction Methods When Underlying Genetic Architecture of Trait Is Purely Additive

Momen, M., A. Ayatollahi Mehrgardi, A. Sheikhy, A. K. Esmailizadeh, and M. Assadi Foozi. "Predictive Ability of Statistical Genomic Prediction Methods When Underlying Genetic Architecture of Trait Is Purely Additive." Iranian Journal of Applied Animal Science 6, no. 4 (2016): 815-822.

A predictive assessment of genetic correlations between traits in chickens using markers

Momen M.,Mehrgardi, Mehrgardi A. A., Sheikhy A., Esmailizadeh A., Fozi M. A.,Kranis A., Valente B. D.,Rosa, Rosa G. J. M., Gianola D. (2017) A predictive assessment of genetic correlations between traits in chickens using markers

Predictive ability of genome-assisted statistical models under various forms of gene action

Momen M , Ayatollahi Mehrgardi A, Kranis A, Tusell L, Morota G, Rosa G J M, Gianola D. (2018). Predictive ability of genome-assisted predic-tion machines under various statistical genetic architectures.Scientific Reports.8:12309.

Quantifying genomic connectedness and prediction accuracy from additive and non-additive gene actions

Momen, Mehdi, and Gota Morota. "Quantifying genomic connectedness and prediction accuracy from additive and non-additive gene actions." Genetics Selection Evolution 50, no. 1 (2018): 45.

Including Phenotypic Causal Networks in Genome-Wide Association Studies Using Mixed Effects Structural Equation Models

Momen Mehdi, Ayatollahi Mehrgardi Ahmad, Amiri Roudbar Mahmoud, Kranis Andreas, Mercuri Pinto Renan, Valente Bruno D., Morota Gota, Rosa Guilherme J. M., Gianola Daniel 2018.Including Phenotypic Causal Networks in Genome-Wide Association Studies Using Mixed Effects Structural Equation Models.

Importance of genotype by environment interaction on genetic analysis of milk yield in Iranian Holstein cows using random regression model.

Fazel Y., Esmailizadeh A., Momen M., Fozi M. Asadi (2018) Importance of genotype by environment interaction on genetic analysis of milk yield in Iranian Holstein cows using a random regression model.

Leveraging breeding values obtained from random regression models for genetic inference of longitudinal traits

Campbell M.T., Momen M., Walia H., Morota G. (2019) Leveraging breeding values obtained from random regression models for genetic inference of longitudinal traits. The Plant Genome.

Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studies

Momen, Mehdi and Campbell, Malachy T. and Walia, Harkamal and Morota, Gota. 2019. Harnessing phenotypic networks and structural equation models to improve genome-wide association analysis.bioRxiv.

Predicting longitudinal traits derived from high-throughput phenomics in contrasting environments using genomic Legendre polynomials and B-splines

Momen M., Campbell T.M., Walia H., Morota G. (2019) Predicting longitudinal traits derived from high-throughput phenomics in contrasting environments using genomic Legendre polynomials and B-splines

Performance of pedigree and various forms of marker‐derived relationship coefficients in genomic prediction and their correlations

Solaymani, Samaneh, Ahmad Ayatollahi Mehrgardi, Ali Esmailizadeh, Llibertat Tusell, and Mehdi Momen. "Performance of pedigree and various forms of marker‐derived relationship coefficients in genomic prediction and their correlations." Journal of Animal Breeding and Genetics (2020).

Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping

Momen M., Campbell T.M., Walia H., Morota G. (2019) Predicting longitudinal traits derived from high-throughput phenomics in contrasting environments using genomic Legendre polynomials and B-splines

Integration of single nucleotide variants and whole-genome DNA methylation profiles for classification of rheumatoid arthritis cases from controls

Roudbar, Mahmoud Amiri, Mohammad Reza Mohammadabadi, Ahmad Ayatollahi Mehrgardi, Rostam Abdollahi-Arpanahi, Mehdi Momen, Gota Morota, Fernando Brito Lopes, Daniel Gianola, and Guilherme JM Rosa. "Integration of single nucleotide variants and whole-genome DNA methylation profiles for classification of rheumatoid arthritis cases from controls." Heredity (2020): 1-17.

Mehdi Momen