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Dr Jian Zeng
Dr

Jian Zeng

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Overview

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

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

Works

Search Professor Jian Zeng’s works on UQ eSpace

47 works between 2011 and 2024

1 - 20 of 47 works

2024

Journal Article

Brain cell-type shifts in Alzheimer’s disease, autism, and schizophrenia interrogated using methylomics and genetics

Yap, Chloe X., Vo, Daniel D., Heffel, Matthew G., Bhattacharya, Arjun, Wen, Cindy, Yang, Yuanhao, Kemper, Kathryn E., Zeng, Jian, Zheng, Zhili, Zhu, Zhihong, Hannon, Eilis, Vellame, Dorothea Seiler, Franklin, Alice, Caggiano, Christa, Wamsley, Brie, Geschwind, Daniel H., Zaitlen, Noah, Gusev, Alexander, Pasaniuc, Bogdan, Mill, Jonathan, Luo, Chongyuan and Gandal, Michael J. (2024). Brain cell-type shifts in Alzheimer’s disease, autism, and schizophrenia interrogated using methylomics and genetics. Science Advances, 10 (21) adn7655. doi: 10.1126/sciadv.adn7655

Brain cell-type shifts in Alzheimer’s disease, autism, and schizophrenia interrogated using methylomics and genetics

2024

Journal Article

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

Zheng, Zhili, Liu, Shouye, Sidorenko, Julia, Wang, Ying, Lin, Tian, Yengo, Loic, Turley, Patrick, Ani, Alireza, Wang, Rujia, Nolte, Ilja M., Snieder, Harold, Aguirre-Gamboa, Raul, Deelen, Patrick, Franke, Lude, Kuivenhoven, Jan A., Lopera Maya, Esteban A., Sanna, Serena, Swertz, Morris A., Vonk, Judith M., Wijmenga, Cisca, Yang, Jian, Wray, Naomi R., Goddard, Michael E., Visscher, Peter M., Zeng, Jian and LifeLines Cohort Study (2024). Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries. Nature Genetics, 56 (5), 1-11. doi: 10.1038/s41588-024-01704-y

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

2024

Journal Article

Unravelling the complex causal effects of substance use behaviours on common diseases

Xue, Angli, Zhu, Zhihong, Wang, Huanwei, Jiang, Longda, Visscher, Peter M., Zeng, Jian and Yang, Jian (2024). Unravelling the complex causal effects of substance use behaviours on common diseases. Communications Medicine, 4 (1) ARTN 43, 43. doi: 10.1038/s43856-024-00473-3

Unravelling the complex causal effects of substance use behaviours on common diseases

2023

Journal Article

Developing flexible models for genetic evaluations in smallholder crossbred dairy farms

Costilla, R., Zeng, J., Al Kalaldeh, M., Swaminathan, M., Gibson, J.P., Ducrocq, V. and Hayes, B.J. (2023). Developing flexible models for genetic evaluations in smallholder crossbred dairy farms. Journal of Dairy Science, 106 (12), 9125-9135. doi: 10.3168/jds.2022-23135

Developing flexible models for genetic evaluations in smallholder crossbred dairy farms

2023

Journal Article

HOPX-associated molecular programs control cardiomyocyte cell states underpinning cardiac structure and function

Friedman, Clayton E., Cheetham, Seth W., Negi, Sumedha, Mills, Richard J., Ogawa, Masahito, Redd, Meredith A., Chiu, Han Sheng, Shen, Sophie, Sun, Yuliangzi, Mizikovsky, Dalia, Bouveret, Romaric, Chen, Xiaoli, Voges, Holly K., Paterson, Scott, De Angelis, Jessica E., Andersen, Stacey B., Cao, Yuanzhao, Wu, Yang, Jafrani, Yohaann M.A., Yoon, Sohye, Faulkner, Geoffrey J., Smith, Kelly A., Porrello, Enzo, Harvey, Richard P., Hogan, Benjamin M., Nguyen, Quan, Zeng, Jian, Kikuchi, Kazu, Hudson, James E. and Palpant, Nathan J. (2023). HOPX-associated molecular programs control cardiomyocyte cell states underpinning cardiac structure and function. Developmental Cell, 59 (1), 91-107.e1. doi: 10.1016/j.devcel.2023.11.012

HOPX-associated molecular programs control cardiomyocyte cell states underpinning cardiac structure and function

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

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

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

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

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

Journal Article

Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes

Wu, Yang, Qi, Ting, Wray, Naomi R., Visscher, Peter M., Zeng, Jian and Yang, Jian (2023). Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes. Cell Genomics, 3 (8) 100344, 100344. doi: 10.1016/j.xgen.2023.100344

Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes

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

Funding

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

Supervision

Availability

Dr Jian Zeng is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Media

Enquiries

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