Author

Majid Khansefid

La Trobe UniversityORCID 0000-0002-5091-7293Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:whole-genome sequencing· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Michael Edward GoddardiD· 3 shared Ruidong XiangiD· 3 shared Amanda Jane ChamberlainiD· 2 shared Coralie M. ReichiD· 2 shared Iona M. MacLeod· 2 shared Leah C. MarettiD· 2 shared Ben J. HayesiD· 1 shared Brett Mason· 1 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersGenetics

Michael Edward GoddardORCID

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Author profile →

3 papers

Recent·Most cited

Toward routine health phenotyping: High-throughput prediction of metabolic, immune, and inflammatory biomarkers from milk mid-infrared spectroscopy in early-lactation dairy cows

Phuong N. Ho, Joanne E. Hemsworth, Coralie M. Reich, C.R. Bath, Zhiqian Liu, Simone J. Rochfort, Majid Khansefid, M.S. Tahir, M. Haile‐Mariam, Michael Edward Goddard, Leah C. Marett, S.R.O. Williams, Christie K.M. Ho, M.J. Berkhout, Ruidong Xiang, Amanda Jane Chamberlain

This paper evaluates milk mid-infrared spectroscopy combined with on-farm variables to predict serum biomarkers in dairy cows, finding that blood urea nitrogen (BUN) is most accurately predicted, while other biomarkers show limited external validation performance.

JDS Communications · Sep 1, 2026Peer-reviewedGenetics

BayesR3AD: Joint analysis of additive and dominance in Bayesian mixture models

Huan Yuan, Edmond J. Breen, Iona M. MacLeod, Majid Khansefid, Ruidong Xiang, Michael Edward Goddard

BayesR3AD extends Bayesian mixture models to jointly estimate additive and dominance genetic effects, improving prediction accuracy for fertility and longevity in Holstein cattle.

bioRxiv · Feb 25, 2026 · PreprintGenetics

Genome variants associated with RNA splicing variation in bovine are extensively shared between tissues

Ruidong Xiang, Ben J. Hayes, Christy J. Vander Jagt, Iona M. MacLeod, Majid Khansefid, P.J. Bowman, Zehu Yuan, Claire Prowse-Wilkins, Coralie M. Reich, Brett Mason, Josie B. Garner, Leah C. Marett, Yizhou Chen, Sunduimijid Bolormaa, Hans D. Daetwyler, , Michael Edward Goddard

The paper identifies bovine sQTLs associated with RNA splicing variation and shows they are shared across tissues and linked to complex traits.

BMC Genomics · Jul 4, 2018Peer-reviewedGenomics