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Associate Professor Loic Yengo
Associate Professor

Loic Yengo

Email: 
Phone: 
+61 7 334 62095

Overview

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.

Works

Search Professor Loic Yengo’s works on UQ eSpace

144 works between 2010 and 2024

1 - 20 of 144 works

2024

Journal Article

Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank

Kemper, Kathryn E., Sidorenko, Julia, Wang, Huanwei, Hayes, Ben J., Wray, Naomi R., Yengo, Loic, Keller, Matthew C., Goddard, Michael and Visscher, Peter M. (2024). Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank. Nature Communications, 15 (1) 3776, 3776. doi: 10.1038/s41467-024-47802-7

Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank

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

The impact of assortative mating, participation bias and socioeconomic status on the polygenic risk of behavioural and psychiatric traits

Cabrera-Mendoza, Brenda, Wendt, Frank R., Pathak, Gita A., Yengo, Loic and Polimanti, Renato (2024). The impact of assortative mating, participation bias and socioeconomic status on the polygenic risk of behavioural and psychiatric traits. Nature Human Behaviour, 8 (5), 976-987. doi: 10.1038/s41562-024-01828-5

The impact of assortative mating, participation bias and socioeconomic status on the polygenic risk of behavioural and psychiatric traits

2024

Journal Article

SMIM1 absence is associated with reduced energy expenditure and excess weight

Stefanucci, Luca, Moslemi, Camous, Tomé, Ana R., Virtue, Samuel, Bidault, Guillaume, Gleadall, Nicholas S., Watson, Laura P.E., Kwa, Jing E., Burden, Frances, Farrow, Samantha, Banasik, Karina, Bay, Jakob, Boldsen, Jens Kjærgaard, Brodersen, Thorsten, Brunak, Søren, Burgdorf, Kristoffer, Chalmer, Mona Ameri, Didriksen, Maria, Dinh, Khoa Manh, Dowsett, Joseph, Erikstrup, Christian, Feenstra, Bjarke, Geller, Frank, Gudbjartsson, Daniel, Hansen, Thomas Folkmann, Hindhede, Lotte, Hjalgrim, Henrik, Jacobsen, Rikke Louise, Jemec, Gregor ... Frontini, Mattia (2024). SMIM1 absence is associated with reduced energy expenditure and excess weight. Med, 5 (9), 1083-1095.e6. doi: 10.1016/j.medj.2024.05.015

SMIM1 absence is associated with reduced energy expenditure and excess weight

2024

Journal Article

Genome-wide association study meta-analysis of dizygotic twinning illuminates genetic regulation of female fecundity

Mbarek, Hamdi, Gordon, Scott D., Duffy, David L., Hubers, Nikki, Mortlock, Sally, Beck, Jeffrey J., Hottenga, Jouke-Jan, Pool, René, Dolan, Conor V., Actkins, Ky’Era V., Gerring, Zachary F., Van Dongen, Jenny, Ehli, Erik A., Iacono, William G., Mcgue, Matt, Chasman, Daniel I., Gallagher, C. Scott, Schilit, Samantha L. P., Morton, Cynthia C., Paré, Guillaume, Willemsen, Gonneke, Whiteman, David C., Olsen, Catherine M., Derom, Catherine, Vlietinck, Robert, Gudbjartsson, Daniel, Cannon-Albright, Lisa, Krapohl, Eva, Plomin, Robert ... Martin, Nicholas G. (2024). Genome-wide association study meta-analysis of dizygotic twinning illuminates genetic regulation of female fecundity. Human Reproduction, 39 (1), 240-257. doi: 10.1093/humrep/dead247

Genome-wide association study meta-analysis of dizygotic twinning illuminates genetic regulation of female fecundity

2023

Journal Article

Cross-ancestry analyses identify new genetic loci associated with 25-hydroxyvitamin D

Wang, Xiaotong, Hivert, Valentin, Groot, Shiane, Wang, Ying, Yengo, Loic, McGrath, John J., Kemper, Kathryn E., Visscher, Peter M., Wray, Naomi R. and Revez, Joana A. (2023). Cross-ancestry analyses identify new genetic loci associated with 25-hydroxyvitamin D. PLoS Genetics, 19 (11) e1011033, e1011033. doi: 10.1371/journal.pgen.1011033

Cross-ancestry analyses identify new genetic loci associated with 25-hydroxyvitamin D

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

Journal Article

Identification and analysis of individuals who deviate from their genetically-predicted phenotype

Hawkes, Gareth, Yengo, Loic, Vedantam, Sailaja, Marouli, Eirini, Beaumont, Robin N., Tyrrell, Jessica, Weedon, Michael N., Hirschhorn, Joel, Frayling, Timothy M. and Wood, Andrew R. (2023). Identification and analysis of individuals who deviate from their genetically-predicted phenotype. PLoS Genetics, 19 (9) e1010934. doi: 10.1371/journal.pgen.1010934

Identification and analysis of individuals who deviate from their genetically-predicted phenotype

2023

Journal Article

Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores

Campos, Adrian I., Namba, Shinichi, Lin, Shu-Chin, Nam, Kisung, Sidorenko, Julia, Wang, Huanwei, Kamatani, Yoichiro, The Biobank Japan Project, Wang, Ling-Hua, Lee, Seunggeun, Lin, Yen-Feng, Feng, Yen-Chen Anne, Okada, Yukinori, Visscher, Peter M. and Yengo, Loic (2023). Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores. Nature Genetics, 55 (10), 1769-1776. doi: 10.1038/s41588-023-01500-0

Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores

2023

Journal Article

Erratum to: Mapping the human genetic architecture of COVID-19 (Nature, (2021), 600, 7889, (472-477), 10.1038/s41586-021-03767-x)

Niemi, Mari E. K., Karjalainen, Juha, Liao, Rachel G., Neale, Benjamin M., Daly, Mark, Ganna, Andrea, Pathak, Gita A., Andrews, Shea J., Kanai, Masahiro, Veerapen, Kumar, Fernandez-Cadenas, Israel, Schulte, Eva C., Striano, Pasquale, Marttila, Minttu, Minica, Camelia, Marouli, Eirini, Karim, Mohd Anisul, Wendt, Frank R., Savage, Jeanne, Sloofman, Laura, Butler-Laporte, Guillaume, Kim, Han-Na, Kanoni, Stavroula, Okada, Yukinori, Byun, Jinyoung, Han, Younghun, Uddin, Mohammed Jashim, Smith, George Davey, Willer, Cristen J. ... Donohue, Chloe (2023). Erratum to: Mapping the human genetic architecture of COVID-19 (Nature, (2021), 600, 7889, (472-477), 10.1038/s41586-021-03767-x). Nature, 621 (7977), E7-E26. doi: 10.1093/1476-4687

Erratum to: Mapping the human genetic architecture of COVID-19 (Nature, (2021), 600, 7889, (472-477), 10.1038/s41586-021-03767-x)

2023

Journal Article

Genome-wide association analysis identifies ancestry-specific genetic variation associated with acute response to metformin and glipizide in SUGAR-MGH

Li, Josephine H., Brenner, Laura N., Kaur, Varinderpal, Figueroa, Katherine, Schroeder, Philip, Huerta-Chagoya, Alicia, Chen, Ji, Spracklen, Cassandra N., Marenne, Gaëlle, Varshney, Arushi, Corbin, Laura J., Luan, Jian’an, Willems, Sara M., Wu, Ying, Zhang, Xiaoshuai, Horikoshi, Momoko, Boutin, Thibaud S., Mägi, Reedik, Waage, Johannes, Li-Gao, Ruifang, Chan, Kei Hang Katie, Yao, Jie, Anasanti, Mila D., Chu, Audrey Y., Claringbould, Annique, Heikkinen, Jani, Hong, Jaeyoung, Hottenga, Jouke-Jan, Huo, Shaofeng ... Florez, Jose C. (2023). Genome-wide association analysis identifies ancestry-specific genetic variation associated with acute response to metformin and glipizide in SUGAR-MGH. Diabetologia, 66 (7), 1260-1272. doi: 10.1007/s00125-023-05922-7

Genome-wide association analysis identifies ancestry-specific genetic variation associated with acute response to metformin and glipizide in SUGAR-MGH

2023

Journal Article

Genome-wide CRISPR screening of chondrocyte maturation newly implicates genes in skeletal growth and height-associated GWAS loci

Baronas, John M., Bartell, Eric, Eliasen, Anders, Doench, John G., Yengo, Loic, Vedantam, Sailaja, Marouli, Eirini, Kronenberg, Henry M., Hirschhorn, Joel N. and Renthal, Nora E. (2023). Genome-wide CRISPR screening of chondrocyte maturation newly implicates genes in skeletal growth and height-associated GWAS loci. Cell Genomics, 3 (5) 100299, 100299. doi: 10.1016/j.xgen.2023.100299

Genome-wide CRISPR screening of chondrocyte maturation newly implicates genes in skeletal growth and height-associated GWAS loci

2023

Journal Article

Mate choice through a genomic lens

Yengo, Loic (2023). Mate choice through a genomic lens. Nature Reviews Genetics, 24 (10), 664-664. doi: 10.1038/s41576-023-00605-w

Mate choice through a genomic lens

2023

Journal Article

15 years of GWAS discovery: realizing the promise

Abdellaoui, Abdel, Yengo, Loic, Verweij, Karin J. H. and Visscher, Peter M. (2023). 15 years of GWAS discovery: realizing the promise. The American Journal of Human Genetics, 110 (2), 179-194. doi: 10.1016/j.ajhg.2022.12.011

15 years of GWAS discovery: realizing the promise

2023

Journal Article

Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose

Qiao, Zhen, Sidorenko, Julia, Revez, Joana A., Xue, Angli, Lu, Xueling, Pärna, Katri, Snieder, Harold, Visscher, Peter M., Wray, Naomi R., Yengo, Loic and Lifelines Cohort Study (2023). Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose. Nature Communications, 14 (1) 451, 1-11. doi: 10.1038/s41467-023-36013-1

Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose

2023

Journal Article

Genetic and modifiable risk factors combine multiplicatively in common disease

Pang, Shichao, Yengo, Loic, Nelson, Christopher P., Bourier, Felix, Zeng, Lingyao, Li, Ling, Kessler, Thorsten, Erdmann, Jeanette, Mägi, Reedik, Läll, Kristi, Metspalu, Andres, Mueller-Myhsok, Bertram, Samani, Nilesh J., Visscher, Peter M. and Schunkert, Heribert (2023). Genetic and modifiable risk factors combine multiplicatively in common disease. Clinical Research in Cardiology, 112 (2), 247-257. doi: 10.1007/s00392-022-02081-4

Genetic and modifiable risk factors combine multiplicatively in common disease

2022

Conference Publication

Discoveries and lessons from a genome-wide association study of human height in >5 million individuals

Yengo, L. and on behalf of GIANT Consortium (the height working group) (2022). Discoveries and lessons from a genome-wide association study of human height in >5 million individuals. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, Netherlands, 3-8 July 2022. Wageningen, Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_3

Discoveries and lessons from a genome-wide association study of human height in >5 million individuals

2022

Journal Article

Genomics and phenomics of body mass index reveals a complex disease network

Huang, Jie, Huffman, Jennifer E., Huang, Yunfeng, Do Valle, Ítalo, Assimes, Themistocles L., Raghavan, Sridharan, Voight, Benjamin F., Liu, Chang, Barabási, Albert-László, Huang, Rose D. L., Hui, Qin, Nguyen, Xuan-Mai T., Ho, Yuk-Lam, Djousse, Luc, Lynch, Julie A., Vujkovic, Marijana, Tcheandjieu, Catherine, Tang, Hua, Damrauer, Scott M., Reaven, Peter D., Miller, Donald, Phillips, Lawrence S., Ng, Maggie C. Y., Graff, Mariaelisa, Haiman, Christopher A., Loos, Ruth J. F., North, Kari E., Yengo, Loic, Smith, George Davey ... VA Million Veteran Program (2022). Genomics and phenomics of body mass index reveals a complex disease network. Nature Communications, 13 (1) 7973, 1-10. doi: 10.1038/s41467-022-35553-2

Genomics and phenomics of body mass index reveals a complex disease network

2022

Journal Article

Author Correction: Assortative mating biases marker-based heritability estimators (Nature Communications, (2022), 13, 1, (660), 10.1038/s41467-022-28294-9)

Border, Richard, O’Rourke, Sean, de Candia, Teresa, Goddard, Michael E., Visscher, Peter M., Yengo, Loic, Jones, Matt and Keller, Matthew C. (2022). Author Correction: Assortative mating biases marker-based heritability estimators (Nature Communications, (2022), 13, 1, (660), 10.1038/s41467-022-28294-9). Nature Communications, 13 (1) 1903, 1903. doi: 10.1038/s41467-022-29652-3

Author Correction: Assortative mating biases marker-based heritability estimators (Nature Communications, (2022), 13, 1, (660), 10.1038/s41467-022-28294-9)

2022

Journal Article

Phenotypic and genetic factors associated with donation of DNA and consent to record linkage for prescription history in the Australian Genetics of Depression Study

Gomez, Lina, Díaz-Torres, Santiago, Colodro-Conde, Lucía, Garcia-Marin, Luis M., Yap, Chloe X., Byrne, Enda M., Yengo, Loic, Lind, Penelope A., Wray, Naomi R., Medland, Sarah E., Hickie, Ian B., Lupton, Michelle K., Rentería, Miguel E., Martin, Nicholas G. and Campos, Adrian I. (2022). Phenotypic and genetic factors associated with donation of DNA and consent to record linkage for prescription history in the Australian Genetics of Depression Study. European Archives of Psychiatry and Clinical Neuroscience, 273 (6), 1359-1368. doi: 10.1007/s00406-022-01527-0

Phenotypic and genetic factors associated with donation of DNA and consent to record linkage for prescription history in the Australian Genetics of Depression Study

Funding

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

Supervision

Availability

Associate Professor Loic Yengo is:
Available for supervision

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

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

Media

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