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

60 works between 2011 and 2025
All (60) Journal Article (48) Conference Publication (6) Other Outputs (6)

21 - 40 of 60 works

2023

Journal Article

Leveraging base-pair mammalian constraint to understand genetic variation and human disease

Sullivan, Patrick F., Meadows, Jennifer R. S., Gazal, Steven, Phan, BaDoi N., Li, Xue, Genereux, Diane P., Dong, Michael X., Bianchi, Matteo, Andrews, Gregory, Sakthikumar, Sharadha, Nordin, Jessika, Roy, Ananya, Christmas, Matthew J., Marinescu, Voichita D., Wang, Chao, Wallerman, Ola, Xue, James, Yao, Shuyang, Sun, Quan, Szatkiewicz, Jin, Wen, Jia, Huckins, Laura M., Lawler, Alyssa, Keough, Kathleen C., Zheng, Zhili, Zeng, Jian, Wray, Naomi R., Li, Yun, Johnson, Jessica ... Zoonomia Consortium§ (2023). Leveraging base-pair mammalian constraint to understand genetic variation and human disease. Science, 380 (6643) eabn2937, 1-12. doi: 10.1126/science.abn2937

Leveraging base-pair mammalian constraint to understand genetic variation and human disease

2023

Journal Article

mBAT-combo: a more powerful test to detect gene-trait associations from GWAS data

Li, Ang, Liu, Shouye, Bakshi, Andrew, Jiang, Longda, Chen, Wenhan, Zheng, Zhili, Sullivan, Patrick F., Visscher, Peter M., Wray, Naomi R., Yang, Jian and Zeng, Jian (2023). mBAT-combo: a more powerful test to detect gene-trait associations from GWAS data. American Journal of Human Genetics, 110 (1), 30-43. doi: 10.1016/j.ajhg.2022.12.006

mBAT-combo: a more powerful test to detect gene-trait associations from GWAS data

2023

Journal Article

Dynamic robust particle swarm optimization algorithm based on hybrid strategy

Zeng, Jian, Yu, Xiaoyong, Yang, Guoyan and Gui, Haitao (2023). Dynamic robust particle swarm optimization algorithm based on hybrid strategy. International Journal of Swarm Intelligence Research, 14 (1), 1-14. doi: 10.4018/IJSIR.325006

Dynamic robust particle swarm optimization algorithm based on hybrid strategy

2022

Journal Article

Genetic control of RNA splicing and its distinct role in complex trait variation

Qi, Ting, Wu, Yang, Fang, Hailing, Zhang, Futao, Liu, Shouye, Zeng, Jian and Yang, Jian (2022). Genetic control of RNA splicing and its distinct role in complex trait variation. Nature Genetics, 54 (9), 1355-1363. doi: 10.1038/s41588-022-01154-4

Genetic control of RNA splicing and its distinct role in complex trait variation

2022

Journal Article

Extend mixed models to multilayer neural networks for genomic prediction including intermediate omics data

Zhao, Tianjing, Zeng, Jian and Cheng, Hao (2022). Extend mixed models to multilayer neural networks for genomic prediction including intermediate omics data. Genetics, 221 (1) iyac034. doi: 10.1093/genetics/iyac034

Extend mixed models to multilayer neural networks for genomic prediction including intermediate omics data

2021

Journal Article

A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts

Ni, Guiyan, Zeng, Jian, Revez, Joana A., Wang, Ying, Zheng, Zhili, Ge, Tian, Restuadi, Restuadi, Kiewa, Jacqueline, Nyholt, Dale R., Coleman, Jonathan R.I., Smoller, Jordan W., Yang, Jian, Visscher, Peter M. and Wray, Naomi R. (2021). A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts. Biological Psychiatry, 90 (9), 611-620. doi: 10.1016/j.biopsych.2021.04.018

A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts

2021

Journal Article

Tumor mutational burden is polygenic and genetically associated with complex traits and diseases

Sun, Xiwei, Xue, Angli, Qi, Ting, Chen, Dan, Shi, Dandan, Wu, Yang, Zheng, Zhili, Zeng, Jian and Yang, Jian (2021). Tumor mutational burden is polygenic and genetically associated with complex traits and diseases. Cancer Research, 81 (5) canres.3459.2020, 12230-1239. doi: 10.1158/0008-5472.can-20-3459

Tumor mutational burden is polygenic and genetically associated with complex traits and diseases

2021

Journal Article

Widespread signatures of natural selection across human complex traits and functional genomic categories

Zeng, Jian, Xue, Angli, Jiang, Longda, Lloyd-Jones, Luke R., Wu, Yang, Wang, Huanwei, Zheng, Zhili, Yengo, Loic, Kemper, Kathryn E., Goddard, Michael E., Wray, Naomi R., Visscher, Peter M. and Yang, Jian (2021). Widespread signatures of natural selection across human complex traits and functional genomic categories. Nature Communications, 12 (1) 1164, 1-12. doi: 10.1038/s41467-021-21446-3

Widespread signatures of natural selection across human complex traits and functional genomic categories

2021

Journal Article

Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank

Yap, Chloe X., Alvares, Gail A., Henders, Anjali K., Lin, Tian, Wallace, Leanne, Farrelly, Alaina, McLaren, Tiana, Berry, Jolene, Vinkhuyzen, Anna A. E., Trzaskowski, Maciej, Zeng, Jian, Yang, Yuanhao, Cleary, Dominique, Grove, Rachel, Hafekost, Claire, Harun, Alexis, Holdsworth, Helen, Jellett, Rachel, Khan, Feroza, Lawson, Lauren, Leslie, Jodie, Levis Frenk, Mira, Masi, Anne, Mathew, Nisha E., Muniandy, Melanie, Nothard, Michaela, Visscher, Peter M., Dawson, Paul A., Dissanayake, Cheryl ... Gratten, Jacob (2021). Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank. Molecular Autism, 12 (1) 12, 12. doi: 10.1186/s13229-020-00407-5

Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank

2021

Journal Article

Correction: Genome-wide analyses of behavioural traits are subject to bias by misreports and longitudinal changes

Xue, Angli, Jiang, Longda, Zhu, Zhihong, Wray, Naomi R., Visscher, Peter M., Zeng, Jian and Yang, Jian (2021). Correction: Genome-wide analyses of behavioural traits are subject to bias by misreports and longitudinal changes. Nature Communications, 12 (1) 988, 988. doi: 10.1038/s41467-021-21294-1

Correction: Genome-wide analyses of behavioural traits are subject to bias by misreports and longitudinal changes

2021

Journal Article

Genome-wide analyses of behavioural traits are subject to bias by misreports and longitudinal changes

Xue, Angli, Jiang, Longda, Zhu, Zhihong, Wray, Naomi R., Visscher, Peter M., Zeng, Jian and Yang, Jian (2021). Genome-wide analyses of behavioural traits are subject to bias by misreports and longitudinal changes. Nature Communications, 12 (1) 6450, 6450. doi: 10.1038/s41467-020-20237-6

Genome-wide analyses of behavioural traits are subject to bias by misreports and longitudinal changes

2020

Other Outputs

A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts

Ni, Guiyan, Zeng, Jian, Revez, Joana A, Wang, Ying, Zheng, Zhili, Ge, Tian, Restuadi, Restuadi, Kiewa, Jacqueline, Nyholt, Dale R, Coleman, Jonathan R I, Smoller, Jordan W, Consortium, Schizophrenia Working Group of the Psychiatric Genomics, Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics, Yang, Jian, Visscher, Peter M and Wray, Naomi R (2020). A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts. doi: 10.1101/2020.09.10.20192310

A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts

2020

Other Outputs

Genome-wide analyses of behavioural traits biased by misreports and longitudinal changes

Xue, Angli, Jiang, Longda, Zhu, Zhihong, Wray, Naomi R., Visscher, Peter M., Zeng, Jian and Yang, Jian (2020). Genome-wide analyses of behavioural traits biased by misreports and longitudinal changes. doi: 10.1101/2020.06.15.20131284

Genome-wide analyses of behavioural traits biased by misreports and longitudinal changes

2020

Journal Article

KEGG-expressed genes and pathways in triple negative breast cancer Protocol for a systematic review and data mining

Chen, Jiarui, Liu, Chong, Cen, Jiemei, Liang, Tuo, Xue, Jiang, Zeng, Haopeng, Zhang, Zide, Xu, Guoyong, Yu, Chaojie, Lu, Zhaojun, Wang, Zequn, Jiang, Jie, Zhan, Xinli and Zeng, Jian (2020). KEGG-expressed genes and pathways in triple negative breast cancer Protocol for a systematic review and data mining. Medicine, 99 (18) e19986, 1-8. doi: 10.1097/MD.0000000000019986

KEGG-expressed genes and pathways in triple negative breast cancer Protocol for a systematic review and data mining

2020

Journal Article

Promoter-anchored chromatin interactions predicted from genetic analysis of epigenomic data

Wu, Yang, Qi, Ting, Wang, Huanwei, Zhang, Futao, Zheng, Zhili, Phillips-Cremins, Jennifer E., Deary, Ian J., McRae, Allan F., Wray, Naomi R., Zeng, Jian and Yang, Jian (2020). Promoter-anchored chromatin interactions predicted from genetic analysis of epigenomic data. Nature Communications, 11 (1) 2061, 1-12. doi: 10.1038/s41467-020-15587-0

Promoter-anchored chromatin interactions predicted from genetic analysis of epigenomic data

2020

Journal Article

Genome-wide association study identifies 143 loci associated with 25 hydroxyvitamin D concentration

Revez, Joana A., Lin, Tian, Qiao, Zhen, Xue, Angli, Holtz, Yan, Zhu, Zhihong, Zeng, Jian, Wang, Huanwei, Sidorenko, Julia, Kemper, Kathryn E., Vinkhuyzen, Anna A. E., Frater, Julanne, Eyles, Darryl, Burne, Thomas H. J., Mitchell, Brittany, Martin, Nicholas G., Zhu, Gu, Visscher, Peter M., Yang, Jian, Wray, Naomi R. and McGrath, John J. (2020). Genome-wide association study identifies 143 loci associated with 25 hydroxyvitamin D concentration. Nature Communications, 11 (1) 1647, 1-12. doi: 10.1038/s41467-020-15421-7

Genome-wide association study identifies 143 loci associated with 25 hydroxyvitamin D concentration

2019

Journal Article

Improved polygenic prediction by Bayesian multiple regression on summary statistics

Lloyd-Jones, Luke R., Zeng, Jian, Sidorenko, Julia, Yengo, Loïc, Moser, Gerhard, Kemper, Kathryn E., Wang, Huanwei, Zheng, Zhili, Magi, Reedik, Esko, Tõnu, Metspalu, Andres, Wray, Naomi R., Goddard, Michael E., Yang, Jian and Visscher, Peter M. (2019). Improved polygenic prediction by Bayesian multiple regression on summary statistics. Nature Communications, 10 (1) 5086, 1-10. doi: 10.1038/s41467-019-12653-0

Improved polygenic prediction by Bayesian multiple regression on summary statistics

2019

Journal Article

Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank

Wang, Huanwei, Zhang, Futao, Zeng, Jian, Wu, Yang, Kemper, Kathryn E., Xue, Angli, Zhang, Min, Powell, Joseph E., Goddard, Michael E., Wray, Naomi R., Visscher, Peter M., McRae, Allan F. and Yang, Jian (2019). Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank. Science Advances, 5 (8) eaaw3538, 1-12. doi: 10.1126/sciadv.aaw3538

Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank

2019

Journal Article

The effect of X-linked dosage compensation on complex trait variation

Sidorenko, Julia, Kassam, Irfahan, Kemper, Kathryn E., Zeng, Jian, Lloyd-Jones, Luke R., Montgomery, Grant W., Gibson, Greg, Metspalu, Andres, Esko, Tonu, Yang, Jian, McRae, Allan F. and Visscher, Peter M. (2019). The effect of X-linked dosage compensation on complex trait variation. Nature Communications, 10 (1) 3009, 3009. doi: 10.1038/s41467-019-10598-y

The effect of X-linked dosage compensation on complex trait variation

2019

Other Outputs

Improved polygenic prediction by Bayesian multiple regression on summary statistics

Lloyd-Jones, Luke R., Zeng, Jian, Sidorenko, Julia, Yengo, Loïc, Moser, Gerhard, Kemper, Kathryn E., Wang, Huanwei, Zheng, Zhili, Magi, Reedik, Esko, Tonu, Metspalu, Andres, Wray, Naomi R., Goddard, Michael E., Yang, Jian and Visscher, Peter M. (2019). Improved polygenic prediction by Bayesian multiple regression on summary statistics. doi: 10.1101/522961

Improved polygenic prediction by Bayesian multiple regression on summary statistics

Current funding

  • 2022 - 2025
    Genetic architecture and evolution of complex traits across populations
    ARC Discovery Projects
    Open grant
  • 2020 - 2025
    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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