Dr Jian Zeng
Dr

Jian Zeng

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Background

Dr Jian Zeng is a statistical geneticist and NHMRC Emerging Leadership Fellow at the Institute for Molecular Bioscience (IMB) at the University of Queensland (UQ). He received his PhD in animal breeding and genetics at Iowa State University and joined the Program in Complex Trait Genomics (PCTG) at UQ in 2016. His research focuses on the development and application of innovative statistical methods for estimating the genetic architecture and evolutionary signals in complex traits, identifying genetic variants, genes and other molecular intermediates associated with phenotype variation, and predicting trait phenotypes using genome sequence data. In 2019, he was awarded an NHMRC Investigator Emerging Leadership Grant to develop statistical methods and software tools for best predict an individual’s disease risk using genomic and omics data. He was an invited speaker at the prestigious Gordon Research Conference in 2019.

Availability

Dr Jian Zeng is:
Available for supervision

Fields of research

Bioinformatics and computational biology Biological Sciences Epigenetics (incl. genome methylation and epigenomics) Gene mapping Genetics Genetics not elsewhere classified Genomics Statistical and quantitative genetics

Qualifications

  • Doctor of Philosophy, University of Iowa

Research interests

  • Understanding genetic architecture and evolution of complex traits

  • Prediction of polygenic scores of complex traits and diseases

  • Mapping causal variants, genes and regulatory elements using multi-omics data

Search Professor Jian Zeng’s works on UQ eSpace

47 works between 2011 and 2024
All (47) Journal Article (40) Conference Publication (5) Other Outputs (2)

41 - 47 of 47 works

2016

Journal Article

A nested mixture model for genomic prediction using whole-genome SNP genotypes

Zeng, Jian, Garrick, Dorian J., Dekkers, Jack C. and Fernando, Rohan L (2016). A nested mixture model for genomic prediction using whole-genome SNP genotypes. Iowa State University Animal Industry Report, 13 (1). doi: 10.31274/ans_air-180814-452

A nested mixture model for genomic prediction using whole-genome SNP genotypes

2013

Journal Article

Dissecting the genetic architecture of frost tolerance in Central European winter wheat

Zhao, Yusheng, Gowda, Manje, Wuerschum, Tobias, Longin, C. Friedrich H., Korzun, Viktor, Kollers, Sonja, Schachschneider, Ralf, Zeng, Jian, Fernando, Rohan, Dubcovsky, Jorge and Reif, Jochen C. (2013). Dissecting the genetic architecture of frost tolerance in Central European winter wheat. Journal of Experimental Botany, 64 (14), 4453-4460. doi: 10.1093/jxb/ert259

Dissecting the genetic architecture of frost tolerance in Central European winter wheat

2013

Journal Article

Genomic selection of purebred animals for crossbred performance in the presence of dominant gene action

Zeng, Jian, Toosi, Ali, Fernando, Rohan L., Dekkers, Jack C. M. and Garrick, Dorian J. (2013). Genomic selection of purebred animals for crossbred performance in the presence of dominant gene action. Genetics Selection Evolution, 45 (1) 11. doi: 10.1186/1297-9686-45-11

Genomic selection of purebred animals for crossbred performance in the presence of dominant gene action

2013

Journal Article

Genomic prediction of hybrid wheat performance

Zhao, Yusheng, Zeng, Jian, Fernando, Rohan and Reif, Jochen C. (2013). Genomic prediction of hybrid wheat performance. Crop Science, 53 (3), 802-810. doi: 10.2135/cropsci2012.08.0463

Genomic prediction of hybrid wheat performance

2013

Other Outputs

Genomic selection of purebred animals for crossbred performance in the presence of dominant gene action

Zeng, Jian, Toosi, Ali, Fernando, Rohan L., Dekkers, Jack C. M. and Garrick, Dorian J. (2013). Genomic selection of purebred animals for crossbred performance in the presence of dominant gene action. Ames: Iowa State University, Digital Repository. doi: 10.31274/ans_air-180814-1249

Genomic selection of purebred animals for crossbred performance in the presence of dominant gene action

2012

Journal Article

Genomic breeding value prediction and QTL mapping of QTLMAS2011 data using Bayesian and GBLUP methods

Zeng, Jian, Pszczola, Marcin, Wolc, Anna, Strabel, Tomasz, Fernando, Rohan L., Garrick, Dorian J. and Dekkers, Jack C. M. (2012). Genomic breeding value prediction and QTL mapping of QTLMAS2011 data using Bayesian and GBLUP methods. BMC Proceedings, 6 (S2) S7. doi: 10.1186/1753-6561-6-S2-S7

Genomic breeding value prediction and QTL mapping of QTLMAS2011 data using Bayesian and GBLUP methods

2011

Other Outputs

Whole genome association analysis of idiopathic eosinophilic enteritis in brown egg layers

Deng, Xuemei, Arango, Jesus, Kizilkaya, Kadir, Zeng, Jian, Cai, Weiguo, Fulton, Janet, O'Sullivan, Neil and Dekkers, Jack C.M. (2011). Whole genome association analysis of idiopathic eosinophilic enteritis in brown egg layers. Ames, United States: Iowa State University. doi: 10.31274/ans_air-180814-77

Whole genome association analysis of idiopathic eosinophilic enteritis in brown egg layers

Current funding

  • 2022 - 2025
    Genetic architecture and evolution of complex traits across populations
    ARC Discovery Projects
    Open grant
  • 2020 - 2024
    Statistical methods and tools to integrate genetic and non-genetic data for risk prediction of common diseases
    NHMRC Investigator Grants
    Open grant

Availability

Dr Jian Zeng is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Enquiries

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