Associate Professor Loic Yengo
Associate Professor

Loic Yengo

Email: 
Phone: 
+61 7 334 62095

Background

Dr Loic Yengo is an Associate Professor at The University of Queensland (UQ) and Group Leader of the Statistical Genomics Laboratory within UQ’s Institute for Molecular Bioscience. 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”.

Availability

Associate 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

143 works between 2010 and 2024
All (143) Journal Article (136) Conference Publication (7)

81 - 100 of 143 works

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

2017

Journal Article

Low-dose exposure to bisphenols A, F and S of human primary adipocyte impacts coding and non-coding RNA profiles

Verbanck, Marie, Canouil, Mickael, Leloire, Audrey, Dhennin, Veronique, Coumoul, Xavier, Yengo, Loïc, Froguel, Philippe and Poulain-Godefroy, Odile (2017). Low-dose exposure to bisphenols A, F and S of human primary adipocyte impacts coding and non-coding RNA profiles. PLoS One, 12 (6) e0179583, e0179583. doi: 10.1371/journal.pone.0179583

Low-dose exposure to bisphenols A, F and S of human primary adipocyte impacts coding and non-coding RNA profiles

2017

Journal Article

Early metabolic markers identify potential targets for the prevention of type 2 diabetes

Peddinti, Gopal, Cobb, Jeff, Yengo, Loic, Froguel, Philippe, Kravic, Jasmina, Balkau, Beverley, Tuomi, Tiinamaija, Aittokallio, Tero and Groop, Leif (2017). Early metabolic markers identify potential targets for the prevention of type 2 diabetes. Diabetologia, 60 (9), 1740-1750. doi: 10.1007/s00125-017-4325-0

Early metabolic markers identify potential targets for the prevention of type 2 diabetes

2017

Journal Article

Genome-wide physical activity interactions in adiposity ― a meta-analysis of 200,452 adults

Graff, Mariaelisa, Scott, Robert A., Justice, Anne E., Young, Kristin L., Feitosa, Mary F., Barata, Llilda, Winkler, Thomas W., Chu, Audrey Y., Mahajan, Anubha, Hadley, David, Xue, Luting, Workalemahu, Tsegaselassie, Heard-Costa, Nancy L., den Hoed, Marcel, Ahluwalia, Tarunveer S., Qi, Qibin, Ngwa, Julius S., Renström, Frida, Quaye, Lydia, Eicher, John D., Hayes, James E., Cornelis, Marilyn, Kutalik, Zoltan, Lim, Elise, Luan, Jian’an, Huffman, Jennifer E., Zhang, Weihua, Zhao, Wei, Griffin, Paula J. ... Kilpeläinen, Tuomas O. (2017). Genome-wide physical activity interactions in adiposity ― a meta-analysis of 200,452 adults. PLoS Genetics, 13 (4) e1006528, e1006528. doi: 10.1371/journal.pgen.1006528

Genome-wide physical activity interactions in adiposity ― a meta-analysis of 200,452 adults

2017

Journal Article

Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

Justice, Anne E., Winkler, Thomas W., Feitosa, Mary F., Graff, Misa, Fisher, Virginia A., Young, Kristin, Barata, Llilda, Deng, Xuan, Czajkowski, Jacek, Hadley, David, Ngwa, Julius S., Ahluwalia, Tarunveer S., Chu, Audrey Y., Heard-Costa, Nancy L., Lim, Elise, Perez, Jeremiah, Eicher, John D., Kutalik, Zolta'n, Xue, Luting, Mahajan, Anubha, Renström, Frida, Wu, Joseph, Qi, Qibin, Ahmad, Shafqat, Alfred, Tamuno, Amin, Najaf, Bielak, Lawrence F., Bonnefond, Amelie, Bragg, Jennifer ... Cupples, L. Adrienne (2017). Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nature Communications, 8 (1) 14977, 14977. doi: 10.1038/ncomms14977

Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

2017

Journal Article

Relationship between salivary/pancreatic amylase and body mass index: a systems biology approach

Bonnefond, Amélie, Yengo, Loïc, Dechaume, Aurélie, Canouil, Mickaël, Castelain, Maxime, Roger, Estelle, Allegaert, Frédéric, Caiazzo, Robert, Raverdy, Violeta, Pigeyre, Marie, Arredouani, Abdelilah, Borys, Jean-Michel, Levy-Marchal, Claire, Weill, Jacques, Roussel, Ronan, Balkau, Beverley, Marre, Michel, Pattou, François, Brousseau, Thierry and Froguel, Philippe (2017). Relationship between salivary/pancreatic amylase and body mass index: a systems biology approach. BMC Medicine, 15 (1) 37, 37. doi: 10.1186/s12916-017-0784-x

Relationship between salivary/pancreatic amylase and body mass index: a systems biology approach

2016

Journal Article

KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference

Schumann, Gunter, Liu, Chunyu, O'Reilly, Paul, Gao, He, Song, Parkyong, Xu, Bing, Ruggeri, Barbara, Amin, Najaf, Jia, Tianye, Preis, Sarah, Lepe, Marcelo Segura, Akira, Shizuo, Barbieri, Caterina, Baumeister, Sebastian, Cauchi, Stephane, Clarke, Toni-Kim, Enroth, Stefan, Fischer, Krista, Hallfors, Jenni, Harris, Sarah E., Hieber, Saskia, Hofer, Edith, Hottenga, Jouke-Jan, Johansson, Asa, Joshi, PeterK., Kaartinen, Niina, Laitinen, Jaana, Lemaitre, Rozenn, Loukola, Anu ... Elliott, Paul (2016). KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference. Proceedings of the National Academy of Sciences, 113 (50), 14372-14377. doi: 10.1073/pnas.1611243113

KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference

2016

Journal Article

Associations between type 2 diabetes-related genetic scores and metabolic traits, in obese and normal-weight youths

Morandi, Anita, Bonnefond, Amelie, Lobbens, Stephane, Yengo, Loic, del Giudice, Emanuele Miraglia, Grandone, Anna, Levy-Marchal, Claire, Weill, Jacques, Maffeis, Claudio and Froguel, Philippe (2016). Associations between type 2 diabetes-related genetic scores and metabolic traits, in obese and normal-weight youths. Journal of Clinical Endocrinology and Metabolism, 101 (11), 4244-4250. doi: 10.1210/jc.2016-2432

Associations between type 2 diabetes-related genetic scores and metabolic traits, in obese and normal-weight youths

2016

Journal Article

Genome-wide analysis identifies 12 loci influencing human reproductive behavior

Barban, Nicola, Jansen, Rick, de Vlaming, Ronald, Vaez, Ahmad, Mandemakers, Jornt J., Tropf, Felix C., Shen, Xia, Wilson, James F., Chasman, Daniel I., Nolte, Illa M., Tragante, Vinicius, van der Laan, Sander W., Perry, John R. B., Kong, Augustine, Ahluwalia, Tarunveer S., Albrecht, Eva, Yerges-Armstrong, Laura, Atzmon, Gil, Auro, Kirsi, Ayers, Kristin, Bakshi, Andrew, Ben-Avraham, Danny, Berger, Klaus, Bergman, Aviv, Bertram, Lars, Bielak, Lawrence F., Bjornsdottir, Gyda, Bonder, Marc Jan, Broer, Linda ... Mills, Melinda C. (2016). Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nature Genetics, 48 (12), 1462-1472. doi: 10.1038/ng.3698

Genome-wide analysis identifies 12 loci influencing human reproductive behavior

2016

Journal Article

Detection of human adaptation during the past 2000 years

Field, Yair, Boyle, Evan A., Telis, Natalie, Gao, Ziyue, Gaulton, Kyle J., Golan, David, Yengo, Loic, Rocheleau, Ghislain, Froguel, Philippe, McCarthy, Mark I. and Pritchard, Jonathan K. (2016). Detection of human adaptation during the past 2000 years. Science, 354 (6313), 1-10. doi: 10.1126/science.aag0776

Detection of human adaptation during the past 2000 years

2016

Journal Article

Impact of statistical models on the prediction of type 2 diabetes using non-targeted metabolomics profiling

Yengo, Loic, Arredouani, Abdelilah, Marre, Michel, Roussel, Ronan, Vaxillaire, Martine, Falchi, Mario, Haoudi, Abdelali, Tichet, Jean, Balkau, Beverley, Bonnefond, Amelie and Froguel, Philippe (2016). Impact of statistical models on the prediction of type 2 diabetes using non-targeted metabolomics profiling. Molecular Metabolism, 5 (10), 918-925. doi: 10.1016/j.molmet.2016.08.011

Impact of statistical models on the prediction of type 2 diabetes using non-targeted metabolomics profiling

2016

Journal Article

The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals

Ehret, G.B., Ferreira, T., Chasman, D.I., Jackson, A.U., Schmidt, E.M., Johnson, T., Thorleifsson, G., Luan, J., Donnelly, L.A., Kanoni, S., Petersen, A.-K., Pihur, V., Strawbridge, R.J., Shungin, D., Hughes, M.F., Meirelles, O., Kaakinen, M., Bouatia-Naji, N., Kristiansson, K., Shah, S., Kleber, M.E., Guo, X., Lyytikainen, L.-P., Fava, C., Eriksson, N., Nolte, I.M., Magnusson, P.K., Salfati, E.L., Rallidis, L.S. ... Munroe, P.B. (2016). The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nature Genetics, 48 (10), 1171-1184. doi: 10.1038/ng.3667

The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals

2016

Journal Article

Genomic insights into the origin of farming in the ancient Near East

Lazaridis, Iosif, Nadel, Dani, Rollefson, Gary, Merrett, Deborah C., Rohland, Nadin, Mallick, Swapan, Fernandes, Daniel, Novak, Mario, Gamarra, Beatriz, Sirak, Kendra, Connell, Sarah, Stewardson, Kristin, Harney, Eadaoin, Fu, Qiaomei, Gonzalez-Fortes, Gloria, Jones, Eppie R., Roodenberg, Songul Alpaslan, Lengyel, Gyorgy, Bocquentin, Fanny, Gasparian, Boris, Monge, Janet M., Gregg, Michael, Eshed, Vered, Mizrahi, Ahuva-Sivan, Meiklejohn, Christopher, Gerritsen, Fokke, Bejenaru, Luminita, Blueher, Matthias, Campbell, Archie ... Reich, David (2016). Genomic insights into the origin of farming in the ancient Near East. Nature, 536 (7617), 419-424. doi: 10.1038/nature19310

Genomic insights into the origin of farming in the ancient Near East

2016

Journal Article

Variable clustering in high-dimensional linear regression: The R package clere

Yengo, Loic, Jacques, Julien, Biernacki, Christophe and Canouil, Mickael (2016). Variable clustering in high-dimensional linear regression: The R package clere. The R Journal, 8 (1), 92-106. doi: 10.32614/rj-2016-006

Variable clustering in high-dimensional linear regression: The R package clere

2016

Journal Article

The genetic architecture of type 2 diabetes

Fuchsberger, Christian, Flannick, Jason, Teslovich, Tanya M., Mahajan, Anubha, Agarwala, Vineeta, Gaulton, Kyle J., Ma, Clement, Fontanillas, Pierre, 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, Pearson, Richard D. ... McCarthy, Mark I. (2016). The genetic architecture of type 2 diabetes. Nature, 536 (7614), 41-47. doi: 10.1038/nature18642

The genetic architecture of type 2 diabetes

2016

Journal Article

Erratum: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study (PLoS Genet (2015) 11:10 (e1005378) DOI: 10.1371/journal.pgen.1005378)

Winkler, Thomas W., Justice, Anne E., Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F., Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O., Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H., Rüeger, Sina, Teumer, Alexander, Ehret, Georg B., Ferreira, Teresa, Heard-Costa, Nancy L., Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D., Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M., Jansen, Rick, Westra, Harm-Jan, White, Charles C. ... Loos, Ruth J.F. (2016). Erratum: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study (PLoS Genet (2015) 11:10 (e1005378) DOI: 10.1371/journal.pgen.1005378). PLoS Genetics, 12 (6) e1006166. doi: 10.1371/JOURNAL.PGEN.1006166

Erratum: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study (PLoS Genet (2015) 11:10 (e1005378) DOI: 10.1371/journal.pgen.1005378)

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

Associate 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

    Genomic signature of non-random mating in human complex traits

    Principal Advisor

    Other advisors: Professor Peter Visscher

  • 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

Completed supervision

Enquiries

For media enquiries about Associate Professor Loic Yengo's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au