Professor David Evans
Professor

David Evans

Email: 
Phone: 
+61 7 334 62617

Background

David Evans is an NHMRC Leadership Fellow and Professor of Statistical Genetics at the University of Queensland Institute for Molecular Bioscience. He is a winner of the NHMRC Marshall and Warren Award.

He completed his PhD in Statistical Genetics at the University of Queensland in 2003, before undertaking a four-year post-doctoral fellowship at the Wellcome Trust Centre for Human Genetics, University of Oxford where he worked as part of the The International HapMap Consortium and co-led the analysis of four diseases within the first Wellcome Trust Case Control Consortium. In 2007 he moved to take up a Senior Lecturer position at the University of Bristol where he led much of the genome-wide association studies work in the Avon Longitudinal Study of Parents and Children (ALSPAC). In 2013 he returned to take up a chair at the University of Queensland whilst continuing to lead an MRC Programme in statistical genetics at the University of Bristol.

His research interests include the genetic mapping of complex traits and diseases (including birthweight and other perinatal traits, osteoporosis, ankylosing spondylitis, sepsis, laterality) and the development of statistical methodologies in genetic epidemiology including approaches for gene mapping, individual risk prediction, causal modelling and dissecting the genetic architecture of complex traits. He has a particular interest in Mendelian randomization and has used it and other causal methods to investigate the Developmental Origins of Health and Disease (DOHaD)- the idea that adverse intrauterine exposures lead to increased risk of disease in later life.

He is Academic Codirector at the NIH funded International Workshop on Statistical Genetics Methods and is faculty on the European Programme in Educational Epidemiology.

He is Associate Editor at the International Journal of Epidemiology and Behavior Genetics journals.

Availability

Professor David Evans is:
Available for supervision
Media expert

Fields of research

Biological Sciences Biomedical and Clinical Sciences Epidemiology Gene mapping Genetics Health Sciences

Qualifications

  • Bachelor (Honours), The University of Queensland
  • Doctor of Philosophy, The University of Queensland

Research interests

  • Mendelian randomization

  • Genome-wide association studies

  • Causal Modeling

  • Developmental Origins of Health and Disease (DOHaD)

  • Laterality

  • Sepsis

  • Osteoporosis

  • Ankylosing Spondylitis

Search Professor David Evans’s works on UQ eSpace

447 works between 1997 and 2024
All (447) Journal Article (366) Book Chapter (4) Conference Publication (67) Other Outputs (10)

141 - 160 of 447 works

2018

Other Outputs

Machine Learning to Predict Osteoporotic Fracture Risk from Genotypes

Forgetta, Vincenzo, Keller-Baruch, Julyan, Forest, Marie, Durand, Audrey, Bhatnagar, Sahir, Kemp, John, Morris, John A, Kanis, John A, Kiel, Douglas P., McCloskey, Eugene V, Rivadeneira, Fernando, Johannson, Helena, Harvey, Nicholas, Cooper, Cyrus, Evans, David M, Pineau, Joelle, Leslie, William D, Greenwood, Celia MT and Richards, J Brent (2018). Machine Learning to Predict Osteoporotic Fracture Risk from Genotypes. doi: 10.1101/413716

Machine Learning to Predict Osteoporotic Fracture Risk from Genotypes

2018

Journal Article

Genome-wide association study of extreme high bone mass: contribution of common genetic variation to extreme BMD phenotypes and potential novel BMD-associated genes

Gregson, Celia L., Newell, Felicity, Leo, Paul J., Clark, Graeme R., Paternoster, Lavinia, Marshall, Mhairi, Forgetta, Vincenzo, Morris, John A., Ge, Bing, Bao, Xiao, Duncan Bassett, J. H., Williams, Graham R., Youlten, Scott E., Croucher, Peter I., Davey Smith, George, Evans, David M., Kemp, John P., Brown, Matthew A., Tobias, Jon H. and Duncan, Emma L. (2018). Genome-wide association study of extreme high bone mass: contribution of common genetic variation to extreme BMD phenotypes and potential novel BMD-associated genes. Bone, 114, 62-71. doi: 10.1016/j.bone.2018.06.001

Genome-wide association study of extreme high bone mass: contribution of common genetic variation to extreme BMD phenotypes and potential novel BMD-associated genes

2018

Journal Article

Assessing the role of DNA methylation-derived neutrophil-to-lymphocyte ratio in rheumatoid arthritis

Ambatipudi, Srikant, Sharp, Gemma C., Clarke, Sarah L. N., Plant, Darren, Tobias, Jonathan H., Evans, David M., Barton, Anne and Belton, Caroline L. (2018). Assessing the role of DNA methylation-derived neutrophil-to-lymphocyte ratio in rheumatoid arthritis. Journal of Immunology Research, 2018 2624981, 1-10. doi: 10.1155/2018/2624981

Assessing the role of DNA methylation-derived neutrophil-to-lymphocyte ratio in rheumatoid arthritis

2018

Journal Article

Are serum concentrations of vitamin B-12 causally related to cardiometabolic risk factors and disease? A Mendelian randomization study

Moen, Gunn-Helen, Qvigstad, Elisabeth, Birkeland, Kåre I., Evans, David M. and Sommer, Christine (2018). Are serum concentrations of vitamin B-12 causally related to cardiometabolic risk factors and disease? A Mendelian randomization study. The American Journal of Clinical Nutrition, 108 (2), 398-404. doi: 10.1093/ajcn/nqy101

Are serum concentrations of vitamin B-12 causally related to cardiometabolic risk factors and disease? A Mendelian randomization study

2018

Journal Article

Genome-wide survey of parent-of-origin effects on DNA methylation identifies candidate imprinted loci in humans

Cuellar Partida, Gabriel, Laurin, Charles, Ring, Susan M., Gaunt, Tom R., McRae, Allan, Visscher, Peter M., Montgomery, Grant W., Martin, Nicholas G., Hemani, Gibran, Suderman, Matthew, Relton, Caroline L., Davey Smith, George and Evans, David M. (2018). Genome-wide survey of parent-of-origin effects on DNA methylation identifies candidate imprinted loci in humans. Human Molecular Genetics, 27 (16), 2927-2939. doi: 10.1093/hmg/ddy206

Genome-wide survey of parent-of-origin effects on DNA methylation identifies candidate imprinted loci in humans

2018

Journal Article

Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error

Tedja, Milly S., Wojciechowski, Robert, Hysi, Pirro G., Eriksson, Nicholas, Furlotte, Nicholas A., Verhoeven, Virginie J. M., Iglesias, Adriana I., Meester-Smoor, Magda A., Tompson, Stuart W., Fan, Qiao, Khawaja, Anthony P., Cheng, Ching-Yu, Höhn, René, Yamashiro, Kenji, Wenocur, Adam, Grazal, Clare, Haller, Toomas, Metspalu, Andres, Wedenoja, Juho, Jonas, Jost B., Wang, Ya Xing, Xie, Jing, Mitchell, Paul, Foster, Paul J., Klein, Barbara E. K., Klein, Ronald, Paterson, Andrew D., Hosseini, S. Mohsen, Shah, Rupal L. ... UK Biobank Eye and Vision Consortium (2018). Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error. Nature Genetics, 50 (6), 834-848. doi: 10.1038/s41588-018-0127-7

Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error

2018

Journal Article

The MR-Base platform supports systematic causal inference across the human phenome

Hemani, Gibran, Zheng, Jie, Elsworth, Benjamin, Wade, Kaitlin H., Haberland, Valeriia, Baird, Denis, Laurin, Charles, Burgess, Stephen, Bowden, Jack, Langdon, Ryan, Tan, Vanessa Y., Yarmolinsky, James, Shihab, Hashem A., Timpson, Nicholas J., Evans, David M., Relton, Caroline, Martin, Richard M., Davey Smith, George, Gaunt, Tom R. and Haycock, Philip C. (2018). The MR-Base platform supports systematic causal inference across the human phenome. eLife, 7 e34408. doi: 10.7554/eLife.34408

The MR-Base platform supports systematic causal inference across the human phenome

2018

Journal Article

Circulating Selenium and Prostate Cancer Risk: A Mendelian Randomization Analysis

Yarmolinsky, James, Bonilla, Carolina, Haycock, Philip C., Langdon, Ryan J. Q., Lotta, Luca A., Langenberg, Claudia, Relton, Caroline L., Lewis, Sarah J., Evans, David M., PRACTICAL Consortium, Davey Smith, George and Martin, Richard M. (2018). Circulating Selenium and Prostate Cancer Risk: A Mendelian Randomization Analysis. Journal of the National Cancer Institute, 110 (9) djy081, 1035-1038. doi: 10.1093/jnci/djy081

Circulating Selenium and Prostate Cancer Risk: A Mendelian Randomization Analysis

2018

Journal Article

Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability

Hysi, Pirro G., Valdes, Ana M., Liu, Fan, Furlotte, Nicholas A., Evans, David M., Bataille, Veronique, Visconti, Alessia, Hemani, Gibran, McMahon, George, Ring, Susan M., Smith, George Davey, Duffy, David L., Zhu, Gu, Gordon, Scott D., Medland, Sarah E., Lin, Bochao D., Willemsen, Gonneke, Jan Hottenga, Jouke, Vuckovic, Dragana, Girotto, Giorgia, Gandin, Ilaria, Sala, Cinzia, Concas, Maria Pina, Brumat, Marco, Gasparini, Paolo, Toniolo, Daniela, Cocca, Massimiliano, Robino, Antonietta, Yazar, Seyhan ... Spector, Timothy D. (2018). Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability. Nature Genetics, 50 (5), 652-656. doi: 10.1038/s41588-018-0100-5

Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability

2018

Journal Article

Genome-wide association study identifies nine novel loci for 2D:4D finger ratio, a putative retrospective biomarker of testosterone exposure in utero

Warrington, Nicole M., Shevroja, Enisa, Hemani, Gibran, Hysi, Pirro G., Jiang, Yunxuan, Auton, Adam, Boer, Cindy G., Mangino, Massimo, Wang, Carol A., Kemp, John P., McMahon, George, Medina-Gomez, Carolina, Hickey, Martha, Trajanoska, Katerina, Wolke, Dieter, Ikram, Arfan M., 23 and Me Research Team, Montgomery, Grant W., Felix, Janine F., Wright, Margaret J., Mackey, David A., Jaddoe, Vincent W., Martin, Nicholas G., Tung, Joyce Y., Davey Smith, George, Pennell, Craig E., Spector, Tim D., van Meurs, Joyce, Rivadeneira, Fernando ... Evans, David M. (2018). Genome-wide association study identifies nine novel loci for 2D:4D finger ratio, a putative retrospective biomarker of testosterone exposure in utero. Human Molecular Genetics, 27 (11), 2025-2038. doi: 10.1093/hmg/ddy121

Genome-wide association study identifies nine novel loci for 2D:4D finger ratio, a putative retrospective biomarker of testosterone exposure in utero

2018

Journal Article

Elucidating the genetics of craniofacial shape

Evans, David M (2018). Elucidating the genetics of craniofacial shape. Nature Genetics, 50 (3), 319-321. doi: 10.1038/s41588-018-0065-4

Elucidating the genetics of craniofacial shape

2018

Journal Article

Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference

Corbin, Laura J., Tan, Vanessa Y., Hughes, David A., Wade, Kaitlin H., Paul, Dirk S., Tansey, Katherine E., Butcher, Frances, Dudbridge, Frank, Howson, Joanna M., Jallow, Momodou W., John, Catherine, Kingston, Nathalie, Lindgren, Cecilia M., O'Donavan, Michael, O'Rahilly, Stephen, Owen, Michael J., Palmer, Colin N. A., Pearson, Ewan R., Scott, Robert A., van Heel, David A., Whittaker, John, Frayling, Tim, Tobin, Martin D., Wain, Louise V., Smith, George Davey, Evans, David M., Karpe, Fredrik, McCarthy, Mark I., Danesh, John ... Timpson, Nicholas J. (2018). Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference. Nature Communications, 9 (1) 711, 711. doi: 10.1038/s41467-018-03109-y

Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference

2018

Journal Article

Genome-wide association study of offspring birth weight in 86,577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics

Beaumont, Robin N., Warrington, Nicole M., Cavadino, Alana, Tyrrell, Jessica, Nodzenski, Michael, Horikoshi, Momoko, Geller, Frank, Myhre, Ronny, Richmond, Rebecca C., Paternoster, Lavinia, Bradfield, Jonathan P., Kreiner-Møller, Eskil, Huikari, Ville, Metrustry, Sarah, Lunetta, Kathryn L., Painter, Jodie N., Hottenga, Jouke-Jan, Allard, Catherine, Barton, Sheila J., Espinosa, Ana, Marsh, Julie A., Potter, Catherine, Zhang, Ge, Ang, Wei, Berry, Diane J., Bouchard, Luigi, Das, Shikta, Early Growth Genetics (EGG) Consortium, Hakonarson, Hakon ... Freathy, Rachel M. (2018). Genome-wide association study of offspring birth weight in 86,577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics. Human Molecular Genetics, 27 (4) ddx429, 742-756. doi: 10.1093/hmg/ddx429

Genome-wide association study of offspring birth weight in 86,577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics

2018

Journal Article

Using structural equation modelling to jointly estimate maternal and fetal effects on birthweight in the UK Biobank

Warrington, Nicole M., Freathy, Rachel M., Neale, Michael C. and Evans, David M. (2018). Using structural equation modelling to jointly estimate maternal and fetal effects on birthweight in the UK Biobank. International Journal of Epidemiology, 47 (4), 1229-1241. doi: 10.1093/ije/dyy015

Using structural equation modelling to jointly estimate maternal and fetal effects on birthweight in the UK Biobank

2018

Journal Article

MHC-dependent mate selection within 872 spousal pairs of European ancestry from the health and retirement study

Qiao, Zhen, Powell, Joseph E. and Evans, David M. (2018). MHC-dependent mate selection within 872 spousal pairs of European ancestry from the health and retirement study. Genes, 9 (1) 53, 53. doi: 10.3390/genes9010053

MHC-dependent mate selection within 872 spousal pairs of European ancestry from the health and retirement study

2018

Journal Article

Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects

Medina-Gomez, Carolina, Kemp, John P., Trajanoska, Katerina, Luan, Jian'an, Chesi, Alessandra, Ahluwalia, Tarunveer S., Mook-Kanamori, Dennis O., Ham, Annelies, Hartwig, Fernando P., Evans, Daniel S., Joro, Raimo, Nedeljkovic, Ivana, Zheng, Hou-Feng, Zhu, Kun, Atalay, Mustafa, Liu, Ching-Ti, Nethander, Maria, Broer, Linda, Porleifsson, Gudmar, Mullin, Benjamin H., Handelman, Samuel K., Nalls, Mike A., Jessen, Leon E, Heppe, Denise H. M., Richards, J. Brent, Wang, Carol, Chawes, Bo, Schraut, Katharina E, Amin, Najaf ... Rivadeneira, Fernando (2018). Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects. American journal of human genetics, 102 (1), 88-102. doi: 10.1016/j.ajhg.2017.12.005

Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects

2018

Journal Article

ASD and schizophrenia show distinct developmental profiles in common genetic overlap with population-based social communication difficulties

St Pourcain, B., Robinson, E. B., Anttila, V., Sullivan, B. B., Maller, J., Golding, J., Skuse, D., Ring, S., Evans, D. M., Zammit, S., Fisher, S. E., Neale, B. M., Anney, R. J. L., Ripke, S., Hollegaard, M. V., Werge, T., Ronald, A., Grove, J., Hougaard, D. M., Børglum, A. D., Mortensen, P. B., Daly, M. J. and Davey Smith, G. (2018). ASD and schizophrenia show distinct developmental profiles in common genetic overlap with population-based social communication difficulties. Molecular Psychiatry, 23 (2), 263-270. doi: 10.1038/mp.2016.198

ASD and schizophrenia show distinct developmental profiles in common genetic overlap with population-based social communication difficulties

2018

Journal Article

Assessment of the genetic and clinical determinants of fracture risk: Genome wide association and mendelian randomisation study

Trajanoska, Katerina, Morris, John A., Oei, Ling, Zheng, Hou-Feng, Evans, David M., Kiel, Douglas P., Ohlsson, Claes, Richards, J. Brent and Rivadeneira, Fernando (2018). Assessment of the genetic and clinical determinants of fracture risk: Genome wide association and mendelian randomisation study. BMJ, 362 k3225, k3225. doi: 10.1136/bmj.k3225

Assessment of the genetic and clinical determinants of fracture risk: Genome wide association and mendelian randomisation study

2018

Conference Publication

The genetic architecture of hip statistical shape models suggests that endochondral bone formation makes an important contribution to hip shape

Baird, D., Evans, D. S., Gregory, J. S., Saunders, F. R., Giuraniuc, C. V., Barr, R. J., Aspden, R. M., Kamanu, F. K., Kiel, D. P., Orwoll, E. S., Cummings, S. R., Lane, N. E., Mullins, B. H., Williams, F. M., Richards, B., Wilson, S. G., Spector, T. D., Faber, B. G., Lawlor, D. A., Beck, T. J., Evans, D. M., Paternoster, L., Karasikl, D. and Tobias, J. H. (2018). The genetic architecture of hip statistical shape models suggests that endochondral bone formation makes an important contribution to hip shape. OARSI World Congress on Osteoarthritis - Promoting Clinical and Basic Research in Osteoarthritis, Liverpool, England, 26-29 April 2018. London, United Kingdom: Elsevier.

The genetic architecture of hip statistical shape models suggests that endochondral bone formation makes an important contribution to hip shape

2018

Conference Publication

Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic disease

Beaumont, Robin N., Warrington, Nicole M., Horikoshi, Momoko, Day, Felix R., Ong, Ken K., McCarthy, Mark I., Perry, John R. B., Freathy, Rachel M. and Evans, David M. (2018). Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic disease. 27th Annual Meeting of the International-Genetic-Epidemiology-Society (IGES), San Diego, Ca, United States, 14-16 October 2018. Hoboken, NJ, United States: John Wiley & Sons.

Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic disease

Current funding

  • 2023 - 2027
    Developing and Applying Mendelian Randomization Methods to Facilitate Drug Discovery and Solve Intractable Problems in Medical Research
    NHMRC Investigator Grants
    Open grant

Past funding

  • 2020 - 2024
    Developing and Applying Statistical Genetics Methods to Elucidate the Developmental Origins of Health and Disease
    NHMRC IDEAS Grants
    Open grant
  • 2019 - 2022
    Identifying maternal and fetal genetic determinants of infant birthweight and their relationship to offspring cardiometabolic risk
    NHMRC Project Grant
    Open grant
  • 2018 - 2024
    The role of size, shape and structure of bones and joints, in explaining common musculoskeletal diseases (Wellcome Trust Grant administered by University of Bristol)
    University of Bristol
    Open grant
  • 2018 - 2022
    Developing and applying statistical genetics methods to identify genes, molecular biomarkers and environmental agents that causally affect risk of complex musculoskeletal diseases
    NHMRC Research Fellowship
    Open grant
  • 2018 - 2020
    Enhancing host defence mechanisms in severe bacterial infections
    NHMRC Project Grant
    Open grant
  • 2017 - 2021
    Development and application of a Mendelian randomization framework aimed at dissecting the biological basis of ankylosing spondylitis and other complex diseases
    NHMRC Project Grant
    Open grant
  • 2017 - 2020
    Using Methods in Genetic Epidemiology to Elucidate the Relationship Between Viral Infection and Risk of Autoimmune Disease
    NHMRC Project Grant
    Open grant
  • 2016
    Establishing a gnotobiotic germ-free mouse facility
    UQ Major Equipment and Infrastructure
    Open grant
  • 2015 - 2016
    A biomarker for sepsis to thwart antibiotic overuse in the intensive care unit
    Royal Brisbane and Women's Hospital
    Open grant
  • 2015
    Bivariate genome-wide association study of birth weight and endophenotypes related to five diseases in later life
    UWA-UQ Bilateral Research Collaboration Award
    Open grant
  • 2015 - 2017
    Finding novel genetic associations in Ankylosing Spondylitis
    University of Oxford
    Open grant
  • 2015 - 2018
    Gene expression profiling in critically ill patients with septic shock: The ADRENAL-GEPS Study
    NHMRC Project Grant
    Open grant
  • 2015 - 2018
    Novel ways of utilizing genome-wide DNA methylation data from peripheral blood samples in genetic epidemiology
    NHMRC Project Grant
    Open grant
  • 2014
    Calibration of single channel and liquid handling robots
    UQ Major Equipment and Infrastructure
    Open grant
  • 2014 - 2016
    Dissecting the great ophthalmic masquerade: The Global Giant Cell Arteritis Genomics Consortium (NHMRC Project Grant administered by the Centre for Eye Research Australia)
    Centre for Eye Research Australia
    Open grant
  • 2014
    Multiplex High Throughput Bio-plex Protein Assay Platform
    UQ Major Equipment and Infrastructure
    Open grant
  • 2012 - 2018
    Clinical Researcher Training
    Research Donation Generic
    Open grant

Availability

Professor David Evans is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Available projects

  • Sometimes Correlation does Equal Causation: Developing Statistical Methods to Determine Causality Using Genetic Data

    There is a well-known mantra that correlation does not necessarily equal causation. This is why randomized controlled trials in which participants are physically randomized into treatment and placebo groups are the gold standard for assessing causality in epidemiological investigations. However, what is less appreciated is that strong evidence for causality can sometimes be obtained using observational data only. In particular, genotypes are randomly transmitted from parents to their offspring independent of the environment and other confounding factors, meaning that genotypes associated with particular traits can be used like natural “randomized controlled trials” to examine whether these traits causally affect risk of disease.

    The aim of this PhD project is to develop statistical methods to assess causality using observational data alone. The successful candidate will gain experience across a wide range of advanced statistical genetics methodologies including Mendelian randomization (a way of using genetic variants to investigate putatively causal relationships), structural equation modelling, genome-wide association analysis (GWAS), genetic restricted maximum likelihood (G-REML) analysis of genome-wide data which can be used to partition variation in phenotypes into genetic and environmental sources of variation, and instrumental variables analysis (using natural “experiments” to obtain information on causality from observational data). The candidate will apply the new statistical methods that they develop to large genetically informative datasets like the UK Biobank (500,000 individuals with genome-wide SNP data).

Supervision history

Current supervision

  • Doctor Philosophy

    Understanding the genetic epidemiology of women's reproductive health

    Principal Advisor

    Other advisors: Dr Gunn-Helen Moen

  • Doctor Philosophy

    Using genetics to predict drug efficacy and on-target side effects of pharmacological agents

    Principal Advisor

    Other advisors: Professor Glenn King, Associate Professor Sonia Shah

  • Doctor Philosophy

    Harnessing Genetically Informative Within-Family Research Designs for Deeper Insights into the Intrauterine Developmental Period and Downstream Effects on Offspring Neurodevelopmental Outcomes

    Principal Advisor

    Other advisors: Dr Daniel Hwang, Dr Gunn-Helen Moen

  • Doctor Philosophy

    Multi-omic Approaches to Understanding Septic Shock

    Principal Advisor

    Other advisors: Dr Daniel Hwang

  • Doctor Philosophy

    Multi-omic Approaches to Understanding Septic Shock

    Principal Advisor

    Other advisors: Dr Daniel Hwang

  • Doctor Philosophy

    Developing and Applying Statistical Genetics Methods to Elucidate the Developmental Origins of Health and Disease

    Principal Advisor

    Other advisors: Dr Nicole Warrington

  • Doctor Philosophy

    Investigating the association between maternal and fetal HLA-KIR genotypes and offspring birth weight

    Principal Advisor

  • Doctor Philosophy

    Using multi-omics approaches to characterise determinants of early growth trajectories and their consequences on later life health

    Associate Advisor

    Other advisors: Honorary Professor Jake Gratten, Dr Nicole Warrington

Completed supervision

Enquiries

Contact Professor David Evans directly for media enquiries about:

  • Genetics
  • Genome-wide association
  • Mendelian randomization
  • Twin Studies

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au