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Dr. Md. Moksedul Momin
Associate Professor
Department of Genetics and Animal Breeding
Faculty of Veterinary Medicine


About
Qualifications
Honours
Publications
Collaboration


Md Moksedul Momin holds the position of Associate Professor in the Department of Genetics and Animal Breeding at Chattogram Veterinary and Animal Sciences University (CVASU) since April 2023. Before this role, he served as a Lecturer in the same department from April 2015 to July 2017, and later as an Assistant Professor from July 2017 to April 2023. Mr. Momin earned his PhD in Statistical Genetics from the University of South Australia (UniSA), Australia. His academic journey includes graduating from CVASU with a Doctor of Veterinary Medicine (DVM) degree in 2011 and obtaining a Master of Science (MS) in Animal Breeding and Genetics in 2014. Mr. Momin's research interests encompass quantitative genetics, statistical genetics, and genomic prediction of complex traits and diseases in both humans and animals.

He has made significant contributions to the field, developing a novel method for dissecting cross-ancestry genetic architecture. Additionally, Mr. Momin has created several R-packages, namely r2redux, R2ROC, MSML, and GxEprs, which have gained widespread usage in the domain of Statistical Genetics.




Research Interests



Experience


Teaching
•   Associate Professor in Department of Genetics and Animal Breeding, Chattogram Veterinary and Animal Sciences University from April 30, 2023 to Present
•   Assistant Professor in Department of Genetics and Animal Breeding, Chattogram Veterinary and Animal Sciences University from July 23, 2017 to April 29, 2023
•   Lecturer in Department of Genetics and Animal Breeding, Chattogram Veterinary and Animal Sciences University from April 30, 2015 to July 22, 2017


Teaching : Current Courses


Undergraduate
Course Name Course Code Department
Animal Biotechnology ABT-402 Department of Genetics and Animal Breeding
Animal Breeding ABR-301 Department of Genetics and Animal Breeding
Animal Genetics AGN-201 Department of Genetics and Animal Breeding

Masters
Course Name Course Code Department
Genetics GNT-601 Department of Genetics and Animal Breeding
Poultry Breeding PBR-602 Department of Genetics and Animal Breeding
Poultry Breeding PBR-601 Department of Dairy and Poultry Science


Contact

Email:
cvasu.momin@gmail.com
momin@cvasu.ac.bd

Cell Phone:   +8801719366552

Find Me on..


Similar to Me

Dr. Md. Kabirul Islam Khan
Professor
Department of Genetics and Animal Breeding
Faculty of Veterinary Medicine

Qualifications


Educational Qualifications
  1. Ph.D. in Statistical Genetics (2023)  - University of South Australia (UniSA), Australia.
  2. MS in Animal Breeding and Genetics (2014) - Chittagong Veterinary and Animal Sciences University (CVASU), Bangladesh.
  3. Doctor of Veterinary Medicine (DVM) (2011) - Chittagong Veterinary and Animal Sciences University (CVASU), Bangladesh.
  4. Higher Secondary School Certificate (HSC) (2006) - Lalmonirhat Govt. College, Rajshahi Board.
  5. Secondary School Certificate (SSC) (2004) - Lalmonirhat Govt. High School, Rajshahi Board.



Honours


Acedemic Awards
  • 2021: University of South Australia International Graduate Research (USAIGR) stipend, Australia.
  • 2020: University Presidents Scholarship (UPS) stipend, Australia.
  • 2020: UniSA International HDR Fee Offset (Tuition Fees), Australia.
  • 2015: National Science and Technology (NST) Fellowship, Ministry of Science and Technology, Bangladesh.
  • 2014: MS research proposal presentation award (Runner-UP), CVASU, Chittagong, Bangladesh.

Membership
  1. American Society of Human Genetics
  2. Bangladesh Veterinary Council
  3. Bangladesh Veterinary Association
  4. Bangladesh Agriculturist Association (Krishibid Institution), Bangladesh



Publications


Journal Articles 

  1. Momin M.M., Wray N.R., Lee S.H. 2023. R2ROC: An efficient method of comparing two or more correlated AUC from out-of-sample prediction using polygenic scores. BioRxiv. https://www.biorxiv.org/content/10.1101/2023.08.01.551571v1 

 

  1. Momin M.M.Zhou X., Hyppönen E., Benyamin B. and Lee S.H. 2024. Cross-ancestry genetic architecture and prediction for cholesterol traits. Human Genetics (In Press).   (for preprint please see https://www.medrxiv.org/content/10.1101/2023.01.31.23285307v1). 

 

  1. Jayasinghe D., Momin M.M., Beckmann K., Hyppönen E., Benyamin B. and Lee S.H. 2024. Mitigating Type 1 Error Inflation and Power Loss in GxE PRS: Genotype-Environment Interaction in Polygenic Risk Score Models. Genetic Epidemiology. 1–16. https://doi.org/10.1002/gepi.2254616 

 

  1. Neshat M., Lee S., Momin M.M., Truong B., van der Werf J. H. J. and Lee S. H. 2023. An effective hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation. Frontiers in Genetics. 14(1104946). https://www.frontiersin.org/articles/10.3389/fgene.2023.1104906/full  

 

  1. Khan, M.K.I., Ferdous, J., Momin, M.M. and Khatun, J. 2023. Performances and Genetic Correlations between Age at First Egg and Egg Quality Traits of Reciprocal Crossbreds of Hilly and Fayoumi Chickens. Universal Journal of Agricultural Science. Vol. 11 (2), Pp: 499 – 506. https://www.hrpub.org/download/20230430/UJAR26-10430428.pdf

 

  1. Momin M.M., Shin J., Lee S., Truong B., Benyamin B., Lee S.H. 2023. A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data. Nature Communications14, 722. https://www.nature.com/articles/s41467-023-36281-x 

 

  1. Momin M.M., Lee S., Wray N.R., Lee S.H. 2023. Significance tests for R2 of out-of-sample prediction using polygenic scores. The American Journal of Human Genetics.  110: p. 349-358. https://doi.org/10.1016/j.ajhg.2023.01.004

 

  1. Khan, M.K.I., Hossain, M.I., and Momin, M.M. 2022. Impact of protein supplementation on semen quality, fertility, and BMP1R gene expression in sheep of Bangladesh.  Translational Animal Science6:3, p.txac072 . https://doi.org/10.1093/tas/txac072 

 

  1. Sultana N., Khan M.K.I., Das A. and Momin M.M. 2022.  Expression of coat colour gene, MC1R in cattle.  Indian Journal of Animal Research. 57:1,7-11. 10.18805/IJAR.BF-1476 

 

  1. Sultana N., Khan, M.K.I. and Momin M.M. 2022. Nonlinear Models for the prediction of yearly live weight of Cattle. Asian Journal of Dairy and Food Research. 41:2, 168-172. 10.18805/ajdfr.DRF-257 

 

  1. Noor, J., Khan, M.K.I., Momin M.M., Das A., Wright, D., Alvarez-Rodrihuez, M. and Rodrihuez-Martinez H. 2021. Effects of PMEL17 plumage color gene diversity on production performance of indigenous variety of Bangladesh. Indian Journal of Animal Research. 55:371-377. 10.18805/IJAR.B-1285 

 

  1. Hossain, M.I., Khan, M.K.I., Momin, M.M. and Das, A. (2020) Effects of protein supplements on fertility and assessment of the fertility genes (GDF9 and BMP15) in indigenous sheep of Bangladesh. Journal of Applied Animal Research. 48:1, 484-491. 10.1080/09712119.2020.1830779

 

  1. Hossain, M.I., Khan, M.K.I., Momin, M.M., Miah G., Quader, M.N. and Miazi O.F. 2019. Traits of Sheep and effects of protein supplements on semen profile in indigenous sheep of Bangladesh. Jurnal Ilmu Ternak dan Veteriner . Vol. 24 No 2, Pp: 73-80.  http://124.81.126.59/handle/123456789/7516

 

  1. Faruq, A.A., Sohel M.S.H., Poddar S., Rakib T.M., Momin M.M. and Khan, M.K.I. 2018. Correlation and regression of traits associated with age and sex of Japanese Quail. Bangladesh Journal of Veterinary and Animal Sciences. Vol. 6, No. 1&2, Pp: 27-32.

 

  1. Das, A., Gupta, M.D., Khan, M.K.I., Momin, M.M. and Miazi, O.F. 2018. Genetic and phenotypic parameter estimates for body weight and egg production at sexual maturity in Hilly×Fayoumi crossbred chickens. Asian Journal of Medical and Biological ResearchVol. 4, No. 2, Pp:186-192.

 

  1. Khandaker R., Khan M.K.I. and Momin M.M. 2017. Correlations among Certain Growth and Production Traits in Different Breeds of Goats. Iranian Journal of Applied Animal ScienceVol. 7, No. 3, Pp: 465-470. https://ijas.rasht.iau.ir/article_533248_fbdc8880fba87c5eb9c40613d281b097.pdf

 

  1. Momin, M.M., Khan, M.K.I. Miah, G. Das, A and Bilkis, T. 2017. Buffalo management in coastal areas of Bangladesh. Bangladesh Journal of Veterinary and Animal Sciences. Vol. 5, No. 1, Pp: 60-66.

 

  1. Miazi O.F., Miah G., Bilkis T., Khan M.K.I., Das A., Momin M.M., Mahmud M.S. and Dey P.C. 2016. Phenotypic and reproductive parameters of barking deer under management condition of Chittagong Zoo. International Journal of Genetics and Genomics. Vol. 4, No. 5, Pp: 40-44. 10.11648/j.ijgg.20160405.11 

 

  1. Hossain, M. I.  Momin, M. M.  Fakhrul Islam, K. M.  Quader, M. N. Sohel, M. S. H.  and Miah, G. 2016. Reproductive performance comparison between local and crossbred Sows reared under backyard and farming condition in Rangamati district of Bangladesh. Journal of Embryo Transfer. Vol. 31, No. 3, Pp: 249-254. 10.12750/jet.2016.31.3.249 

 

  1. Bilkis T., Md. Khan M.K.I., Das A., Miazi O.F., Momin M.M. and Hazary M.E.H. 2016. Artificial insemination practices and factors affecting conception rate of dairy cows in the commercial dairy farms. International Journal of Science, Environment and Technology. Vol. 5, No 5, Pp: 2689 – 2700. https://www.ijset.net/journal/1214.pdf

 

  1. Momin M.M., Khan M.K.I. and Miazi O.F. 2016. Performance traits of Buffalo under extensive and semi-intensive Bathan System. Iranian Journal of Applied Animal Science. Vol. 6, No 4, Pp: 823-831. https://ijas.rasht.iau.ir/article_526627_7f547bd5ebc3d98328f6f30d50c3e8ad.pdf

 

  1. Miah G., Das A., Bilkis, T., Momin M.M., Uddin M.A. Alim M.A., Mahmud M.S. and Miazi O.F. 2016. Comparative study on productive and reproductive traits of Black Bengal and Jamnapari Goats under semi-intensive condition. Scientific Research Journal. Vol. 4, No. 2. Pp: 1-7. http://www.scirj.org/papers-0216/scirj-P0216314.pdf

 

  1. Miazi O.F., Miah G., Momin M.M., Hassan M.M., Uddin M.M., Hossain M.E., Mahmud M.S.  and Ahsan M.F. 2015. Liveability of Fayoumi and Sonali chicks in scavenging rearing system. Scientific Research Journal. Vol. 3, No. 12, Pp: 15-19. http://www.scirj.org/papers-1215/scirj-P1215303.pdf

 

  1. Kober A.K.M.H., Bari M.S., Morshed S. and Momin M.M.  2015. Evaluation of nutritional quality, contamination, adulteration and preservation quality of different sources of milk. Bangladesh Journal of Veterinary and Animal Sciences. Vol. 3. Pp: 25-29.

 

 

 Conference Proceedings

  1. Neshat M., Momin M.M., Truong B., van der Werf J. H. J., Lee S. and Lee S. H. 2022. Finetuning hyper-parameters increases the prediction accuracy in single-step genetic evaluation. Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)https://doi.org/10.3920/978-90-8686-940-4_322 

 

 

Poster Presentation 

  1. Momin M.M., Lee S., Wray N.R., Lee S.H. 2023. Significance tests for R2 of out-of-sample prediction using polygenic scores. GeneMappersTasmania, Australia, 8-10 March 2023.

 

  1. Momin M.M., Zhou X., Hyppönen E., Benyamin B., Lee S.H. 2023. Cross-ancestry genetic architecture and prediction for cholesterol traits. 23rd International Congress of Genetics. Melbourne, Australia, 16-21 July 2023.

 

 

Oral Presentation

  1. Momin M.M., Shin J., Lee S., Truong B., Benyamin B., Lee S.H. 2023. A novel method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data. GeneMappers. Tasmania, Australia, 8-10 March 2023.

 


Developed methods and  packages 

  1. A novel method for estimating the Genomic Relationship Matrix implemented in MTG2 software (https://sites.google.com/view/s-hong-lee-homepage/mtg2/source-codes).  Please see the -rtmx2 and -rtmx3 functions in the manual. The source codes also available at https://github.com/mommy003/XA_GRM
  2. r2redux,  R-package available on CRAN and GitHub (https://github.com/mommy003/r2redux).
  3. R2ROC,  R-package available on CRAN and GitHub (https://github.com/mommy003/R2ROC).
  4. GxEprs,  R-package available on CRAN and GitHub (https://github.com/DoviniJ/GxEprs).
  5. MSML, R-package available on CRAN and GitHub (https://github.com/mommy003/MSML).




Funding


Supervision


Collaboration


1.  University of South Australia (UniSA), Australia

2.  National Institute of Animal Science (NIAS), South Korea