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

51 works between 2011 and 2025
All (51) Journal Article (43) Conference Publication (6) Other Outputs (2)

21 - 40 of 51 works

2023

Journal Article

Learning functional conservation between human and pig to decipher evolutionary mechanisms underlying gene expression and complex traits

Li, Jinghui, Zhao, Tianjing, Guan, Dailu, Pan, Zhangyuan, Bai, Zhonghao, Teng, Jinyan, Zhang, Zhe, Zheng, Zhili, Zeng, Jian, Zhou, Huaijun, Fang, Lingzhao and Cheng, Hao (2023). Learning functional conservation between human and pig to decipher evolutionary mechanisms underlying gene expression and complex traits. Cell Genomics, 3 (10) 100390. doi: 10.1016/j.xgen.2023.100390

Learning functional conservation between human and pig to decipher evolutionary mechanisms underlying gene expression and complex traits

2023

Conference Publication

Advances In Polygenic Score Methods And Applications In Psychiatric Genetics

Vilhjalmsson, Bjarni, Zeng, Jian and Wray, Naomi (2023). Advances In Polygenic Score Methods And Applications In Psychiatric Genetics. World Congress of Psychiatric Genetics WCPG 2023, Montreal, QC Canada, 10-14 October 2023. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.euroneuro.2023.08.062

Advances In Polygenic Score Methods And Applications In Psychiatric Genetics

2023

Conference Publication

IDENTIFICATION OF CELL TYPES AND CELLULAR DYNAMICS GENETICALLY ASSOCIATED WITH BRAIN DISORDERS AND COGNITIVE TRAITS

Yao, Shuyang, Harder, Arvid, Darki, Fahimeh, Li, Ang, Zeng, Jian, Nikouei, Kasra, Lundstrom, Johan, Wray, Naomi, Lu, Yi, Sullivan, Patrick and Hjerling-Leffler, Jens (2023). IDENTIFICATION OF CELL TYPES AND CELLULAR DYNAMICS GENETICALLY ASSOCIATED WITH BRAIN DISORDERS AND COGNITIVE TRAITS. World Congress of Psychiatric Genetics (WCPG), Montreal Canada, Oct 10-14, 2023. AMSTERDAM: ELSEVIER. doi: 10.1016/j.euroneuro.2023.08.160

IDENTIFICATION OF CELL TYPES AND CELLULAR DYNAMICS GENETICALLY ASSOCIATED WITH BRAIN DISORDERS AND COGNITIVE TRAITS

2023

Conference Publication

Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries

Zeng, Jian, Zheng, Zhili, Liu, Shouye, Sidorenko, Julia, Yengo, Loic, Turley, Patrick, Ani, Alireza, Wang, Rujia, Nolte, Ilja, Snieder, Harold, Yang, Jian, Wray, Naomi, Goddard, Michael and Visscher, Peter (2023). Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries. World Congress of Psychiatric Genetics (WCPG), Montreal, ON, Canada, 10 - 14 October 2023. Amsterdam, Netherlands: Elsevier BV. doi: 10.1016/j.euroneuro.2023.08.063

Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries

2023

Conference Publication

Highlighting human brain cell types and regions for the genetic risk of schizophrenia and other psychiatric disorders

Yao, Shuyang, Harder, Arvid, Darki, Fahimeh, Li, Ang, Zeng, Jian, Nikouei, Kasra, Lundström, Johan, Wray, Naomi, Lu, Yi, Sullivan, Patrick and Hjerling-Leffler, Jens (2023). Highlighting human brain cell types and regions for the genetic risk of schizophrenia and other psychiatric disorders. World Congress of Psychiatric Genetics (WCPG) 2023, Montreal, Canada, 10-14 October 2023. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.euroneuro.2023.08.161

Highlighting human brain cell types and regions for the genetic risk of schizophrenia and other psychiatric disorders

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

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

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

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

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

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

2018

Journal Article

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

Qi, Ting, Wu, Yang, Zeng, Jian, Zhang, Futao, Xue, Angli, Jiang, Longda, Zhu, Zhihong, Kemper, Kathryn, Yengo, Loic, Zheng, Zhili, eQTLGen Consortium, Marioni, Riccardo E., Montgomery, Grant W., Deary, Ian J., Wray, Naomi R., Visscher, Peter M., McRae, Allan F. and Yang, Jian (2018). Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood. Nature Communications, 9 (1) 2282, 2282. doi: 10.1038/s41467-018-04558-1

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

2018

Journal Article

Global genetic differentiation of complex traits shaped by natural selection in humans

Guo, Jing, Wu, Yang, Zhu, Zhihong, Zheng, Zhili, Trzaskowski, Maciej, Zeng, Jian, Robinson, Matthew R., Visscher, Peter M. and Yang, Jian (2018). Global genetic differentiation of complex traits shaped by natural selection in humans. Nature Communications, 9 (1) 1865, 1865. doi: 10.1038/s41467-018-04191-y

Global genetic differentiation of complex traits shaped by natural selection in humans

2018

Journal Article

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

Zeng, Jian, Garrick, Dorian, Dekkers, Jack and Fernando, Rohan (2018). A nested mixture model for genomic prediction using whole-genome SNP genotypes. PloS one, 13 (3) e0194683, e0194683. doi: 10.1371/journal.pone.0194683

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

2018

Journal Article

Genomic prediction from multiple-trait bayesian regression methods using mixture priors

Cheng, Hao, Kizilkaya, Kadir, Zeng, Jian, Garrick, Dorian and Fernando, Rohan (2018). Genomic prediction from multiple-trait bayesian regression methods using mixture priors. Genetics, 209 (1), 89-103. doi: 10.1534/genetics.118.300650

Genomic prediction from multiple-trait bayesian regression methods using mixture priors

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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