Overview
Background
Dr Nasir Moghaddar is a senior lecturer and researcher in biostatistics and statistical genetics at the University of Queensland. He has over 15 years of experience in teaching and research, and is the author of more than 50 scientific papers in applied statistical genetics and genomics. Nasir’s research interests are biostatistics, understanding the genetic background of complex traits and diseases, genetic epidemiology and developing of genomic risk prediction in improving the benefits of genomics in health.
Availability
- Dr Nasir Moghaddar is:
- Available for supervision
Qualifications
- Doctor of Philosophy of Quantitative Genetics, The University of New England
Research interests
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Research interests
My research interests are biostatistics and understanding the genetic background of polygenic and complex traits/diseases, genetic epidemiology and genomic risk prediction.
Research impacts
Nasir has over 15 years of experience in statiatical (quantitative) genetic research, and has contributed to more than 60 scientific papers.Nasir’s research has contributed to improving understanding of the genetic background of complex traits and has resulted to identifying novel genetic variants associated with complex traits and diseases with application in risk prediction. He has contributed in development of comercialized high-density arrays (chips) for large-scale, cost-effective genotyping.
Works
Search Professor Nasir Moghaddar’s works on UQ eSpace
2019
Conference Publication
The accuracy obtained from reference populations for genomic selection
van der Werf, J. H. J., Clark, S. A., Lee, S. H. and Moghaddar, N. (2019). The accuracy obtained from reference populations for genomic selection. AAABG 2019: 23rd Conference of the Association for the Advancement of Animal Breeding and Genetics, Armidale, NSW, Australia, 27 October-1 November 2019. Armidale, NSW, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG).
2019
Conference Publication
Genome-wide association study of carcase and eating quality traits in Australian Angus beef cattle
Weerasinghe, W.M.S.P., Crook, B.J., Clark, S.A. and Moghaddar, N. (2019). Genome-wide association study of carcase and eating quality traits in Australian Angus beef cattle. Association for the Advancement in Animal Breeding and Genetics 23rd Conference, Armidale, NSW, Australia, 27 October - 1 November 2019.
2019
Journal Article
Effect of selection and selective genotyping for creation of reference on bias and accuracy of genomic prediction
Gowane, Gopal R., Lee, Sang Hong, Clark, Sam, Moghaddar, Nasir, Al-Mamun, Hawlader A. and van der Werf, Julius H. J. (2019). Effect of selection and selective genotyping for creation of reference on bias and accuracy of genomic prediction. Journal of Animal Breeding and Genetics, 136 (5), 390-407. doi: 10.1111/jbg.12420
2019
Journal Article
Using imputed whole-genome sequence data to improve the accuracy of genomic prediction for parasite resistance in Australian sheep
Al Kalaldeh, Mohammad, Gibson, John, Duijvesteijn, Naomi, Daetwyler, Hans D., MacLeod, Iona, Moghaddar, Nasir, Lee, Sang Hong and van der Werf, Julius H. J. (2019). Using imputed whole-genome sequence data to improve the accuracy of genomic prediction for parasite resistance in Australian sheep. Genetics Selection Evolution, 51 (1) 32. doi: 10.1186/s12711-019-0476-4
2019
Journal Article
Accuracy of imputation to whole-genome sequence in sheep
Bolormaa, Sunduimijid, Chamberlain, Amanda J., Khansefid, Majid, Stothard, Paul, Swan, Andrew A., Mason, Brett, Prowse-Wilkins, Claire P., Duijvesteijn, Naomi, Moghaddar, Nasir, van der Werf, Julius H., Daetwyler, Hans D. and MacLeod, Iona M. (2019). Accuracy of imputation to whole-genome sequence in sheep. Genetics Selection Evolution, 51 1. doi: 10.1186/s12711-018-0443-5
2018
Journal Article
Genotype × birth type or rearing-type interactions for growth and ultrasound scanning traits in Merino sheep
Dakhlan, A., Moghaddar, Nasir and van der Werf, J. H. J. (2018). Genotype × birth type or rearing-type interactions for growth and ultrasound scanning traits in Merino sheep. Animal Production Science, 59 (6), 1016-1021. doi: 10.1071/an17464
2018
Conference Publication
Optimising bias and accuracy in genomic prediction of breeding values
Gowane, G. R., Lee, Sang Hong, Clark, Sam, Moghaddar, Nasir, Al-Mamun, Hawlader A. and van der Werf, Julius H. J. (2018). Optimising bias and accuracy in genomic prediction of breeding values. 11th World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand, 11 - 16 February 2018.
2017
Journal Article
Genomic estimation of additive and dominance effects and impact of accounting for dominance on accuracy of genomic evaluation in sheep populations
Moghaddar, N. and van der Werf, J. H. J. (2017). Genomic estimation of additive and dominance effects and impact of accounting for dominance on accuracy of genomic evaluation in sheep populations. Journal of Animal Breeding and Genetics, 134 (6), 453-462. doi: 10.1111/jbg.12287
2017
Journal Article
Multiple-trait QTL mapping and genomic prediction for wool traits in sheep
Bolormaa, Sunduimijid, Swan, Andrew A., Brown, Daniel J., Hatcher, Sue, Moghaddar, Nasir, van der Werf, Julius H., Goddard, Michael E. and Daetwyler, Hans D. (2017). Multiple-trait QTL mapping and genomic prediction for wool traits in sheep. Genetics Selection Evolution, 49 62. doi: 10.1186/s12711-017-0337-y
2017
Conference Publication
Accounting for population structure in genomic prediction of Australian merino sheep
Moghaddar, N., Brown, D. J., Swan, A. A. and van Der Werf, J. H. J. (2017). Accounting for population structure in genomic prediction of Australian merino sheep. AAABG 2017: 22nd Conference of the Association for the Advancement of Animal Breeding and Genetics, Townsville, QLD, Australia, 2-5 July 2017. Armidale, NSW, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG).
2017
Journal Article
Genomic prediction from observed and imputed high-density ovine genotypes
Moghaddar, Nasir, Swan, Andrew A. and van der Werf, Julius H. J. (2017). Genomic prediction from observed and imputed high-density ovine genotypes. Genetics Selection Evolution, 49 40. doi: 10.1186/s12711-017-0315-4
2016
Journal Article
Local and global patterns of admixture and population structure in Iranian native cattle
Karimi, Karim, Strucken, Eva M., Moghaddar, Nasir, Ferdosi, Mohammad H., Esmailizadeh, Ali and Gondro, Cedric (2016). Local and global patterns of admixture and population structure in Iranian native cattle. BMC Genetics, 17 108, 1-14. doi: 10.1186/s12863-016-0416-z
2015
Journal Article
Accuracy of genotype imputation based on random and selected reference sets in purebred and crossbred sheep populations and its effect on accuracy of genomic prediction
Moghaddar, Nasir, Gore, Klint P., Daetwyler, Hans D., Hayes, Ben J. and van der Werf, Julius H. J. (2015). Accuracy of genotype imputation based on random and selected reference sets in purebred and crossbred sheep populations and its effect on accuracy of genomic prediction. Genetics Selection Evolution, 47 (1) 175. doi: 10.1186/s12711-015-0175-8
2015
Conference Publication
Accuracy of genomic prediction for merino wool traits using high-density marker genotypes
Moghaddar, N., Swan, A. A. and van der Werf, J. H. J. (2015). Accuracy of genomic prediction for merino wool traits using high-density marker genotypes. Association for the Advancement in Animal Breeding and Genetics 2015, Lorne, VIC Australia, 28-30 September 2015.
2015
Conference Publication
Exploiting sequence variants for genomic prediction in Australian sheep using Bayesian models
Khansefid, M., Bolormaa, S., Swan, A. A., van der Werf, J. H. J., N Moghaddar, Daetwyler, H. D. and MacLeod, I. M. (2015). Exploiting sequence variants for genomic prediction in Australian sheep using Bayesian models. 11th World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand, 11 - 16 February 2018.
2014
Journal Article
Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep
Moghaddar, Nasir, Swan, Andrew A. and van der Werf, Julius H. J. (2014). Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep. Genetics Selection Evolution, 46 58. doi: 10.1186/s12711-014-0058-4
2014
Conference Publication
Estimating genomic variance explained per chromosome using pedigree and genomic data in sheep
Esquivelzeta-Rabell, C., Moghaddar, N. and van der Werf, J. H. J. (2014). Estimating genomic variance explained per chromosome using pedigree and genomic data in sheep. WCGALP 2014: 10th World Congress on Genetics Applied to Livestock Production, Vancouver, BC, Canada, 17-22 August 2014.
2014
Conference Publication
Genomic evaluations in the Australian sheep industry
Swan, A. A, Brown, D. J., Daetwyler, H. D., Hayes, B. J., Kelly, M., Moghaddar, N. and van der Werf, J. H. J. (2014). Genomic evaluations in the Australian sheep industry. 10th World Congress of Genetics Applied to Livestock Production, Vancouver Canada, 2014.
2013
Conference Publication
Accuracy of genomic prediction from multi-breed sheep reference population
Moghaddar, Nasir, Swan, A. A. and Van der Werf, J. H. J. (2013). Accuracy of genomic prediction from multi-breed sheep reference population. Association for the Advancement in Animal Breeding and Genetics 20th Conference, Napier, New Zealand, 20-23 October 2013. Armidale, NSW, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG).
2013
Journal Article
Genomic prediction of weight and wool traits in a multi-breed sheep population
Moghaddar, N., Swan, A. A. and van der Werf, J. H. J. (2013). Genomic prediction of weight and wool traits in a multi-breed sheep population. Animal Production Science, 54 (5), 544-549. doi: 10.1071/an13129
Supervision
Availability
- Dr Nasir Moghaddar is:
- Available for supervision
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Media
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