Professor Loic Yengo
Professor

Loic Yengo

Email: 
Phone: 
+61 7 334 62095

Background

Dr Loic Yengo is a Professor of Statistical Genomics at The University of Queensland (UQ) and Group Leader of the Statistical Genomics Laboratory within UQ’s Institute for Molecular Bioscience. He was awarded a prestigious Snow Medical Research Fellowship in 2024 to dramatically advance the use of genomics to prevent chronic disease such as type 2 diabetes, heart disease and Alzheimer’s, with a particular focus on increasing participation of people with diverse ancestries. After completing a PhD in applied mathematics and statistics at the University of Lille (France) in 2014, he joined UQ in 2016 for postdoctoral training in Quantitative and Statistical Genetics. Loic started his own lab in 2020 to investigate the causes and consequences of genetic variation within and between human populations. His group develops and applies novel statistical methods to analyse large volumes of genomic data. Loic’s research has contributed to improving understanding of the genetic and phenotypic consequences of non-random mating (inbreeding and assortative mating) in human populations and has led to identifying novel genetic variants associated with complex traits and diseases. Loic was named among the top 40 rising stars of research by The Australian newspaper in 2021 and received the UQ Foundation research excellence award the same year. Loic is the 2022 recipient of the Ruth Stephens Gani Medal of the Australian Academy of Science recognizing outstanding contributions to research in human genetics, and was named in Nature Medicine’s 2022 Yearbook among 11 early-career researchers “to watch”.

In 2024, he was the recipient of the American Society of Human Genetics Early Career Award and a Snow Medical Research Foundation Fellowship to accelerate the deployment of genomic risk prediction in the clinic and improve the benefit of genomic medicine in all populations.

Availability

Professor Loic Yengo is:
Available for supervision

Qualifications

  • Doctor of Philosophy, Université Lille 1 - Sciences et Technologies

Research impacts

The research in the Yengo Lab contributes to the discovery of genes and biological pathways involved in the etiology of multifactorial diseases such as obesity and type 2 diabetes. The ultimate goal of our research is to better understand what genes underlie inter-individual variation in disease susceptibility and help translate that knowledge into new and personalised therapies.

Search Professor Loic Yengo’s works on UQ eSpace

159 works between 2010 and 2025
All (159) Journal Article (145) Conference Publication (8) Other Outputs (6)

81 - 100 of 159 works

2018

Journal Article

Genome analyses of >200,000 individuals identify 58 loci for chronic inflammation and highlight pathways that link inflammation and complex disorders

Ligthart, Symen, Vaez, Ahmad, Võsa, Urmo, Stathopoulou, Maria G., de Vries, Paul S., Prins, Bram P., Van der Most, Peter J., Tanaka, Toshiko, Naderi, Elnaz, Rose, Lynda M., Wu, Ying, Karlsson, Robert, Barbalic, Maja, Lin, Honghuang, Pool, René, Zhu, Gu, Macé, Aurélien, Sidore, Carlo, Trompet, Stella, Mangino, Massimo, Sabater-Lleal, Maria, Kemp, John P., Abbasi, Ali, Kacprowski, Tim, Verweij, Niek, Smith, Albert V., Huang, Tao, Marzi, Carola, Feitosa, Mary F. ... Alizadeh, Behrooz Z. (2018). Genome analyses of >200,000 individuals identify 58 loci for chronic inflammation and highlight pathways that link inflammation and complex disorders. American Journal of Human Genetics, 103 (5), 691-706. doi: 10.1016/j.ajhg.2018.09.009

Genome analyses of >200,000 individuals identify 58 loci for chronic inflammation and highlight pathways that link inflammation and complex disorders

2018

Journal Article

Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry

Yengo, Loic, Sidorenko, Julia, Kemper, Kathryn E., Zheng, Zhili, Wood, Andrew R., Weedon, Michael N., Frayling, Timothy M., Hirschhorn, Joel, Yang, Jian and Visscher, Peter M. (2018). Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics, 27 (20), 3641-3649. doi: 10.1093/hmg/ddy271

Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry

2018

Journal Article

ALDH2 Polymorphism rs671, but Not ADH1B Polymorphism rs1229984, Increases Risk for Hypo-HDL-Cholesterolemia in a/a Carriers Compared to the G/G Carriers

Imatoh, Takuya, Yengo, Loic, Rocheleau, Ghislain, Kamimura, Seiichiro, Maeda, Shiro, Miyazaki, Motonobu and Froguel, Philippe (2018). ALDH2 Polymorphism rs671, but Not ADH1B Polymorphism rs1229984, Increases Risk for Hypo-HDL-Cholesterolemia in a/a Carriers Compared to the G/G Carriers. Lipids, 53 (8), 797-807. doi: 10.1002/lipd.12087

ALDH2 Polymorphism rs671, but Not ADH1B Polymorphism rs1229984, Increases Risk for Hypo-HDL-Cholesterolemia in a/a Carriers Compared to the G/G Carriers

2018

Journal Article

Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes

Xue, Angli, Wu, Yang, Zhu, Zhihong, Zhang, Futao, Kemper, Kathryn E., Zheng, Zhili, Yengo, Loic, Lloyd-Jones, Luke R., Sidorenko, Julia, Wu, Yeda, eQTLGen Consortium, McRae, Allan F., Visscher, Peter M., Zeng, Jian and Yang, Jian (2018). Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nature Communications, 9 (1) 2941, 2941. doi: 10.1038/s41467-018-04951-w

Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes

2018

Journal Article

Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

Lee, James J., Wedow, Robbee, Okbay, Aysu, Kong, Edward, Maghzian, Omeed, Zacher, Meghan, Nguyen-Viet, Tuan Anh, Bowers, Peter, Sidorenko, Julia, Karlsson Linnér, Richard, Fontana, Mark Alan, Kundu, Tushar, Lee, Chanwook, Li, Hui, Li, Ruoxi, Royer, Rebecca, Timshel, Pascal N., Walters, Raymond K., Willoughby, Emily A., Yengo, Loïc, 23andMe Research Team, COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Alver, Maris, Bao, Yanchun, Clark, David W., Day, Felix R., Furlotte, Nicholas A., Joshi, Peter K. ... Cesarini, David (2018). Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, 50 (8), 1112-1121. doi: 10.1038/s41588-018-0147-3

Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

2018

Journal Article

Increased hepatic PDGF-AA signaling mediates liver insulin resistance in obesity-associated type 2 diabetes

Abderrahmani, Amar, Yengo, Loïc, Caiazzo, Robert, Canouil, Mickaël, Cauchi, Stéphane, Raverdy, Violeta, Plaisance, Valérie, Pawlowski, Valérie, Lobbens, Stéphane, Maillet, Julie, Rolland, Laure, Boutry, Raphael, Queniat, Gurvan, Kwapich, Maxime, Tenenbaum, Mathie, Bricambert, Julien, Saussenthaler, Sophie, Anthony, Elodie, Jha, Pooja, Derop, Julien, Sand, Olivier, Rabearivelo, Iandry, Leloire, Audrey, Pigeyre, Marie, Daujat-Chavanieu, Martine, Gerbal-Chaloin, Sabine, Dayeh, Tasnim, Lassailly, Guillaume, Mathurin, Philippe ... Froguel, Philippe (2018). Increased hepatic PDGF-AA signaling mediates liver insulin resistance in obesity-associated type 2 diabetes. Diabetes, 67 (7), 1310-1321. doi: 10.2337/db17-1539

Increased hepatic PDGF-AA signaling mediates liver insulin resistance in obesity-associated type 2 diabetes

2018

Journal Article

Misestimation of heritability and prediction accuracy of male-pattern baldness

Yap, Chloe X., Sirodenko, Julia, Marioni, Riccardo E., Yengo, Loic, Wray, Naomi R. and Visscher, Peter M. (2018). Misestimation of heritability and prediction accuracy of male-pattern baldness. Nature Communications, 9 (1) 2537, 2537. doi: 10.1038/s41467-018-04807-3

Misestimation of heritability and prediction accuracy of male-pattern baldness

2018

Conference Publication

Association between population density and genetic risk for schizophrenia

Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Whitfield, John B., Streit, Fabian, Gordon, Scott, Kemper, Kathryn E., Yengo, Loic, Zheng, Zhili, Trzaskowski, Maciej, de Zeeuw, Eveline L., Nivard, Michel G., Das, Marjolijn, Neale, Rachel E., MacGregor, Stuart, Olsen, Catherine M., Whiteman, David C., Boomsma, Dorret I., Yang, Jian, Rietschel, Marcella, McGrath, John J., Medland, Sarah E. and Martin, Nicholas G. (2018). Association between population density and genetic risk for schizophrenia. Chicago, IL, United States: American Medical Association. doi: 10.1001/jamapsychiatry.2018.1581

Association between population density and genetic risk for schizophrenia

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

Insights into the genetic epidemiology of Crohn's and rare diseases in the Ashkenazi Jewish population

Rivas, Manuel A., Avila, Brandon E., Koskela, Jukka, Huang, Hailiang, Stevens, Christine, Pirinen, Matti, Haritunians, Talin, Neale, Benjamin M., Kurki, Mitja, Ganna, Andrea, Graham, Daniel, Glaser, Benjamin, Peter, Inga, Atzmon, Gil, Barzilai, Nir, Levine, Adam P., Schiff, Elena, Pontikos, Nikolas, Weisburd, Ben, Lek, Monkol, Karczewski, Konrad J., Bloom, Jonathan, Minikel, Eric V., Petersen, Britt-Sabina, Beaugerie, Laurent, Seksik, Philippe, Cosnes, Jacques, Schreiber, Stefan, Bokemeyer, Bernd ... T2D-GENES Consortium (2018). Insights into the genetic epidemiology of Crohn's and rare diseases in the Ashkenazi Jewish population. PLoS Genetics, 14 (5) e1007329, 1-25. doi: 10.1371/journal.pgen.1007329

Insights into the genetic epidemiology of Crohn's and rare diseases in the Ashkenazi Jewish population

2018

Journal Article

Signatures of negative selection in the genetic architecture of human complex traits

Zeng, Jian, de Vlaming, Ronald, Wu, Yang, Robinson, Matthew R., Lloyd-Jones, Luke R., Yengo, Loic, Yap, Chloe X., Xue, Angli, Sidorenko, Julia, McRae, Allan F., Powell, Joseph E., Montgomery, Grant W., Metspalu, Andres, Esko, Tonu, Gibson, Greg, Wray, Naomi R., Visscher, Peter M. and Yang, Jian (2018). Signatures of negative selection in the genetic architecture of human complex traits. Nature Genetics, 50 (5), 746-753. doi: 10.1038/s41588-018-0101-4

Signatures of negative selection in the genetic architecture of human complex traits

2018

Journal Article

Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes article

Mahajan, Anubha, Wessel, Jennifer, Willems, Sara M., Zhao, Wei, Robertson, Neil R., Chu, Audrey Y., Gan, Wei, Kitajima, Hidetoshi, Taliun, Daniel, Rayner, N. William, Guo, Xiuqing, Lu, Yingchang, Li, Man, Jensen, Richard A., Hu, Yao, Huo, Shaofeng, Lohman, Kurt K., Zhang, Weihua, Cook, James P., Prins, Bram Peter, Flannick, Jason, Grarup, Niels, Trubetskoy, Vassily Vladimirovich, Kravic, Jasmina, Kim, Young Jin, Rybin, Denis V., Yaghootkar, Hanieh, Müller-Nurasyid, Martina, Meidtner, Karina ... GIANT Consortium (2018). Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes article. Nature Genetics, 50 (4), 559-571. doi: 10.1038/s41588-018-0084-1

Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes article

2018

Journal Article

Reply to Kardos et al.: estimation of inbreeding depression from SNP data

Yengo, Loic, Zhu, Zhihong, Wray, Naomi R., Weir, Bruce S., Yang, Jian, Robinson, Matthew R. and Visscher, Peter M. (2018). Reply to Kardos et al.: estimation of inbreeding depression from SNP data. Proceedings of the National Academy of Sciences, 115 (11), E2494-E2495. doi: 10.1073/pnas.1718598115

Reply to Kardos et al.: estimation of inbreeding depression from SNP data

2018

Journal Article

Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

Flannick, Jason, Fuchsberger, Christian, Mahajan, Anubha, Teslovich, Tanya M., Agarwala, Vineeta, Gaulton, Kyle J., Caulkins, Lizz, Koesterer, Ryan, Ma, Clement, Moutsianas, Loukas, McCarthy, Davis J., Rivas, Manuel A., Perry, John R B, Sim, Xueling, Blackwell, Thomas W., Robertson, Neil R., Rayner, N William, Cingolani, Pablo, Locke, Adam E., Tajes, Juan Fernandez, Highland, Heather M., Dupuis, Josee, Chines, Peter S., Lindgren, Cecilia M., Hartl, Christopher, Jackson, Anne U., Chen, Han, Huyghe, Jeroen R., van de Bunt, Martijn ... McCarthy, Mark I. (2018). Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Scientific Data, 5 (1) 180002, 180002. doi: 10.1038/sdata.2018.2

Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

2018

Conference Publication

Signatures of negative selection in the genetic architecture of human complex traits

Zeng, Jian, de Vlaming, Ronald, Wu, Yang, Robinson, Matthew R., Lloyd-Jones, Luke R., Yengo, Loic, Yap, Chloe X., Xue, Angli, Sidorenko, Julia, Mcrae, Allan F., Powell, Joseph E., Montgomery, Grant W., Metspalu, Andres, Esko, Tonu, Gibson, Greg, Wray, Naomi R., Visscher, Peter M. and Yang, Jian (2018). Signatures of negative selection in the genetic architecture of human complex traits. 48th Annual Meeting of the Behavior-Genetics-Association (BGA), Boston MA, United States, 20-23 June 2018. New York, NY United States: Springer New York.

Signatures of negative selection in the genetic architecture of human complex traits

2018

Journal Article

Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

Mahajan, Anubha, Taliun, Daniel, Thurner, Matthias, Robertson, Neil R., Torres, Jason M., Rayner, N. William, Payne, Anthony J., Steinthorsdottir, Valgerdur, Scott, Robert A., Grarup, Niels, Cook, James P., Schmidt, Ellen M., Wuttke, Matthias, Sarnowski, Chloé, Mägi, Reedik, Nano, Jana, Gieger, Christian, Trompet, Stella, Lecoeur, Cécile, Preuss, Michael H., Prins, Bram Peter, Guo, Xiuqing, Bielak, Lawrence F., Below, Jennifer E., Bowden, Donald W., Chambers, John Campbell, Kim, Young Jin, Ng, Maggie C. Y., Petty, Lauren E. ... McCarthy, Mark I. (2018). Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nature Genetics, 50 (11), 1505-1513. doi: 10.1038/s41588-018-0241-6

Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

2017

Journal Article

Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

Flannick, Jason, Fuchsberger, Christian, Mahajan, Anubha, Teslovich, Tanya M., Agarwala, Vineeta, Gaulton, Kyle J., Caulkins, Lizz, Koesterer, Ryan, Ma, Clement, Moutsianas, Loukas, McCarthy, Davis J., Rivas, Manuel A., Perry, John R.B., Sim, Xueling, Blackwell, Thomas W., Robertson, Neil R., Rayner, N. William, Cingolani, Pablo, Locke, Adam E., Tajes, Juan Fernandez, Highland, Heather M., Dupuis, Josée, Chines, Peter S., Lindgren, Cecilia M., Hartl, Christopher, Jackson, Anne U., Chen, Han, Huyghe, Jeroen R., Van De Bunt, Martijn ... McCarthy, Mark I. (2017). Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Scientific Data, 4 (1) 170179, 170179. doi: 10.1038/sdata.2017.179

Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

2017

Journal Article

An expanded genome-wide association study of type 2 diabetes in Europeans

Scott, Robert A., Scott, Laura J., Mägi, Reedik, Marullo, Letizia, Gaulton, Kyle J., Kaakinen, Marika, Pervjakova, Natalia, Pers, Tune H., Johnson, Andrew D., Eicher, John D., Jackson, Anne U., Ferreira, Teresa, Lee, Yeji, Ma, Clement, Steinthorsdottir, Valgerdur, Thorleifsson, Gudmar, Qi, Lu, Van Zuydam, Natalie R., Mahajan, Anubha, Chen, Han, Almgren, Peter, Voight, Ben F., Grallert, Harald, Müller-Nurasyid, Martina, Ried, Janina S., Rayner, Nigel W., Robertson, Neil, Karssen, Lennart C., van Leeuwen, Elisabeth M. ... Prokopenko, Inga (2017). An expanded genome-wide association study of type 2 diabetes in Europeans. Diabetes, 66 (11), 2888-2902. doi: 10.2337/db16-1253

An expanded genome-wide association study of type 2 diabetes in Europeans

2017

Journal Article

Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: a transethnic genome-wide meta-analysis

Wheeler, Eleanor, Leong, Aaron, Liu, Ching-Ti, Hivert, Marie-France, Strawbridge, Rona J., Podmore, Clara, Li, Man, Yao, Jie, Sim, Xueling, Hong, Jaeyoung, Chu, Audrey Y., Zhang, Weihua, Wang, Xu, Chen, Peng, Maruthur, Nisa M., Porneala, Bianca C., Sharp, Stephen J., Jia, Yucheng, Kabagambe, Edmond K., Chang, Li-Ching, Chen, Wei-Min, Elks, Cathy E., Evans, Daniel S., Fan, Qiao, Giulianini, Franco, Go, Min Jin, Hottenga, Jouke-Jan, Hu, Yao, Jackson, Anne U. ... Meigs, James B. (2017). Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: a transethnic genome-wide meta-analysis. PLoS Medicine, 14 (9) e1002383, e1002383. doi: 10.1371/journal.pmed.1002383

Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: a transethnic genome-wide meta-analysis

2017

Journal Article

Detection and quantification of inbreeding depression for complex traits from SNP data

Yengo, Loic, Zhu, Zhihong, Wray, Naomi R., Weir, Bruce S., Yang, Jian, Robinson, Matthew R. and Visscher, Peter M. (2017). Detection and quantification of inbreeding depression for complex traits from SNP data. PNAS: Proceedings of the National Academy of Sciences of the United States of America, 114 (32), 8602-8607. doi: 10.1073/pnas.1621096114

Detection and quantification of inbreeding depression for complex traits from SNP data

Current funding

  • 2025 - 2030
    Harnessing Genetic Variation to Transform Prevention and Cure of Common Disease
    Snow Medical Fellowship
    Open grant
  • 2023 - 2026
    Statistical Methods for Next Generation Genome-Wide Association Studies
    ARC Future Fellowships
    Open grant
  • 2022 - 2027
    The Australian Genetic Diversity Database: towards a more equitable future for genomic medicine in Australia (MRFF Genomics Health Futures Mission grant administered by UNSW)
    University of New South Wales
    Open grant
  • 2021 - 2025
    Better statistical methods to discover host genetic factors in symptom response to SARS-CoV-2 infection
    NHMRC IDEAS Grants
    Open grant

Past funding

  • 2022
    Optimal discovery of genetic variants associated with risk of disease in diverse human populations
    UQ Foundation Research Excellence Awards
    Open grant
  • 2020 - 2022
    Genetic and Molecular Consequences of Non-Random Mating in Humans
    ARC Discovery Early Career Researcher Award
    Open grant
  • 2019
    The Genetic architecture of the human genome size
    UQ Early Career Researcher
    Open grant
  • 2018 - 2024
    Estimating the genetic and environmental architecture of psychiatric disorders (NIH Grant administered by the University of Colorado)
    University of Colorado
    Open grant

Availability

Professor Loic Yengo is:
Available for supervision

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Available projects

  • Genetic and Molecular consequences of non-random mating in humans

    Short Project description. This projects aims at utilising genetic and phenotypic data from ~500,000 participants of the UK Biobank to investigate phenotypic and genetic patterns induced by non-random mating in humans. Two forms of non-random mating will be investigated: assortative mating (resemblance between spouses) and inbreeding (mating between relatives). Findings from this project have implications in the analysis and interpretation of genome-wide association studies. The project will involve advanced modelling and statistical analyses of large volumes of data (genotyped and imputed SNP data, whole-exome sequencing, gene-expression, brain-imaging derived-traits).

    Candidate. Candidates with a background in quantitative/population genetics, statistics, mathematics and other quantitative fields will be considered. Programming skills (R, python, C/C++) and prior experience in analysing genetic data (e.g. GWAS) is desirable. (Note: if required, lectures on fundamental concepts of quantitative and population genetics can be taken as part of the PhD training).

    The Team. The successful candidate will be doing their research within the Program in Complex Traits Genomics (PCTG) Lab co-led by Professors Jian Yang, Naomi Wray and Peter Visscher, who are internationally recognized leaders in the field of complex traits genetics and have been recently listed among the world’s top one per cent most cited researchers of their field. PCTG provides a stimulating and highly interdisciplinary environment for PhD candidates to form and develop their research.

    PhD advisor. Dr Loic Yengo is a senior research officer of the Institute of Molecular Bioscience at the University of Queensland, Australia; and the Statistical Genetics Team leader within PCTG. He did his PhD in applied mathematics and is an expert in statistical modelling and analysis of genetic data. His research interests intersect quantitative genetics, genetic epidemiology and sociogenomics.

    Expected start. First semester of 2020.

    Contact. If you’re interested, please send your CV and cover letter and two references to Dr Loic Yengo: l.yengo@imb.uq.edu.au

    URLs

    IMB: https://imb.uq.edu.au/

    The team PCTG: http://cnsgenomics.com/

    PhD advisor: https://scholar.google.fr/citations?user=iv8dxlIAAAAJ&hl=en

Supervision history

Current supervision

  • Doctor Philosophy

    Investigating the time and tissue dependent genetic architecture of complex traits

    Principal Advisor

    Other advisors: Dr Nicole Warrington

  • Doctor Philosophy

    Investigating the time and tissue dependent genetic architecture of complex traits

    Principal Advisor

    Other advisors: Dr Nicole Warrington

  • Doctor Philosophy

    Genomic signature of non-random mating in human complex traits

    Principal Advisor

  • Doctor Philosophy

    Statistical methods and application to analyses genome and trait data from large biobanks

    Associate Advisor

    Other advisors: Dr Kathryn Kemper

  • Doctor Philosophy

    Statistical methods and application to analyses genome and trait data from large biobanks

    Associate Advisor

    Other advisors: Dr Kathryn Kemper, Professor Peter Visscher

  • Doctor Philosophy

    New approaches to quantify the genetic cause of disease

    Associate Advisor

    Other advisors: Professor Nathan Palpant

Completed supervision

Enquiries

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