Dr Loic Yengo Dimbou

ARC Future Fellow - GL

Institute for Molecular Bioscience
l.yengo@imb.uq.edu.au
+61 7 334 62095

Overview

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”.

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.

Qualifications

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

Publications

  • 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. doi: 10.1038/s41562-024-01828-5

  • 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 (2023). 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

  • 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

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Supervision

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Available Projects

  • 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

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Publications

Journal Article

  • 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. doi: 10.1038/s41562-024-01828-5

  • 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 (2023). 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

  • 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

  • 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, e1010934. doi: 10.1371/journal.pgen.1010934

  • 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

  • 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

  • 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

  • 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

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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Visscher, Peter M. and Yengo, Loic (2022). The effect of the scale of grant scoring on ranking accuracy. F1000Research, 11 1197, 1-18. doi: 10.12688/f1000research.125400.1

  • Yengo, Loïc, Vedantam, Sailaja, Marouli, Eirini, Sidorenko, Julia, Bartell, Eric, Sakaue, Saori, Graff, Marielisa, Eliasen, Anders U., Jiang, Yunxuan, Raghavan, Sridharan, Miao, Jenkai, Arias, Joshua D., Graham, Sarah E., Mukamel, Ronen E., Spracklen, Cassandra N., Yin, Xianyong, Chen, Shyh-Huei, Ferreira, Teresa, Highland, Heather H., Ji, Yingjie, Karaderi, Tugce, Lin, Kuang, Lüll, Kreete, Malden, Deborah E., Medina-Gomez, Carolina, Machado, Moara, Moore, Amy, Rüeger, Sina, Sim, Xueling ... Understanding Society Scientific Group (2022). A saturated map of common genetic variants associated with human height. Nature, 610 (7933), 704-712. doi: 10.1038/s41586-022-05275-y

  • Yamamoto, Kenichi, Sonehara, Kyuto, Namba, Shinichi, Konuma, Takahiro, Masuko, Hironori, Miyawaki, Satoru, Kamatani, Yoichiro, Hizawa, Nobuyuki, Ozono, Keiichi, Yengo, Loic, Okada, Yukinori and The BioBank Japan Project (2022). Genetic footprints of assortative mating in the Japanese population. Nature Human Behaviour, 7 (1), 1-9. doi: 10.1038/s41562-022-01438-z

  • Mahajan, Anubha, Spracklen, Cassandra N., Zhang, Weihua, Ng, Maggie C. Y., Petty, Lauren E., Kitajima, Hidetoshi, Yu, Grace Z., Rüeger, Sina, Speidel, Leo, Kim, Young Jin, Horikoshi, Momoko, Mercader, Josep M., Taliun, Daniel, Moon, Sanghoon, Kwak, Soo-Heon, Robertson, Neil R., Rayner, Nigel W., Loh, Marie, Kim, Bong-Jo, Chiou, Joshua, Miguel-Escalada, Irene, della Briotta Parolo, Pietro, Lin, Kuang, Bragg, Fiona, Preuss, Michael H., Takeuchi, Fumihiko, Nano, Jana, Guo, Xiuqing, Lamri, Amel ... Morris, Andrew P. (2022). Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. Nature Genetics, 54 (5), 560-572. doi: 10.1038/s41588-022-01058-3

  • Okbay, Aysu, Wu, Yeda, Wang, Nancy, Jayashankar, Hariharan, Bennett, Michael, Nehzati, Seyed Moeen, Sidorenko, Julia, Kweon, Hyeokmoon, Goldman, Grant, Gjorgjieva, Tamara, Jiang, Yunxuan, Hicks, Barry, Tian, Chao, Hinds, David A., Ahlskog, Rafael, Magnusson, Patrik K E, Oskarsson, Sven, Hayward, Caroline, Campbell, Archie, Porteous, David J., Freese, Jeremy, Herd, Pamela, Watson, Chelsea, Jala, Jonathan, Conley, Dalton, Koellinger, Philipp D., Johannesson, Magnus, Laibson, David, Meyer, Michelle N. ... Social Science Genetic Association Consortium (2022). Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals. Nature Genetics, 54 (4), 437-449. doi: 10.1038/s41588-022-01016-z

  • Wainschtein, Pierrick, Jain, Deepti, Zheng, Zhili, Aslibekyan, Stella, Becker, Diane, Bi, Wenjian, Brody, Jennifer, Carlson, Jenna C., Correa, Adolfo, Du, Margaret Mengmeng, Fernandez-Rhodes, Lindsay, Ferrier, Kendra R., Graff, Misa, Guo, Xiuqing, He, Jiang, Heard-Costa, Nancy L., Highland, Heather M., Hirschhorn, Joel N., Howard-Claudio, Candace M., Isasi, Carmen R., Jackson, Rebecca, Jiang, Jicai, Joehanes, Roby, Justice, Anne E., Kalyani, Rita R., Kardia, Sharon, Lange, Ethan, LeBoff, Meryl, Lee, Seunggeun ... NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium (2022). Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data. Nature Genetics, 54 (3), 263-273. doi: 10.1038/s41588-021-00997-7

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

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

  • Niemi, Mari E. K., Karjalainen, Juha, Daly, Mark, Ganna, Andrea, Mehtonen, Juha, Cordioli, Mattia, Kaunisto, Mari, Pigazzini, Sara, Donner, Kati, Kivinen, Katja, Palotie, Aarno, Daly, Mark J., Liao, Rachel G., Kanai, Masahiro, Veerapen, Kumar, Minica, Camelia, Trankiem, Amy, Balaconis, Mary K., Nguyen, Huy, Solomonson, Matthew, Francioli, Laurent, Wang, Qingbo, Green, Robert C., Bryant, Sam, Finucane, Hilary, Martin, Alicia R., Zhou, Wei, Nkambule, Lindokuhle, Karczewski, Konrad J. ... COVID-19 Host Genetics Initiative (2021). Mapping the human genetic architecture of COVID-19. Nature, 600 (7889), 472-477+. doi: 10.1038/s41586-021-03767-x

  • Pathak, Gita A., Singh, Kritika, Miller-Fleming, Tyne W., Wendt, Frank R., Ehsan, Nava, Hou, Kangcheng, Johnson, Ruth, Lu, Zeyun, Gopalan, Shyamalika, Yengo, Loic, Mohammadi, Pejman, Pasaniuc, Bogdan, Polimanti, Renato, Davis, Lea K. and Mancuso, Nicholas (2021). Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization. Nature Communications, 12 (1) 4569, 4569. doi: 10.1038/s41467-021-24824-z

  • Lagou, Vasiliki, Mägi, Reedik, Hottenga, Jouke- Jan, Grallert, Harald, Perry, John R. B., Bouatia-Naji, Nabila, Marullo, Letizia, Rybin, Denis, Jansen, Rick, Min, Josine L., Dimas, Antigone S., Ulrich, Anna, Zudina, Liudmila, Gådin, Jesper R., Jiang, Longda, Faggian, Alessia, Bonnefond, Amélie, Fadista, Joao, Stathopoulou, Maria G., Isaacs, Aaron, Willems, Sara M., Navarro, Pau, Tanaka, Toshiko, Jackson, Anne U., Montasser, May E., O’Connell, Jeff R., Bielak, Lawrence F., Webster, Rebecca J., Saxena, Richa ... Prokopenko, Inga (2021). Publisher Correction: Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability (Nature Communications, (2021), 12, 1, (24), 10.1038/s41467-020-19366-9). Nature Communications, 12 (1) 995, 995. doi: 10.1038/s41467-021-21276-3

  • Lagou, Vasiliki, Mägi, Reedik, Hottenga, Jouke- Jan, Grallert, Harald, Perry, John R. B., Bouatia-Naji, Nabila, Marullo, Letizia, Rybin, Denis, Jansen, Rick, Min, Josine L., Dimas, Antigone S., Ulrich, Anna, Zudina, Liudmila, Gådin, Jesper R., Jiang, Longda, Faggian, Alessia, Bonnefond, Amélie, Fadista, Joao, Stathopoulou, Maria G., Isaacs, Aaron, Willems, Sara M., Navarro, Pau, Tanaka, Toshiko, Jackson, Anne U., Montasser, May E., O’Connell, Jeff R., Bielak, Lawrence F., Webster, Rebecca J., Saxena, Richa ... Prokopenko, Inga (2021). Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability. Nature Communications, 12 (1) 24, 24. doi: 10.1038/s41467-020-19366-9

  • Porcu, Eleonora, Gilardi, Federica, Darrous, Liza, Yengo, Loic, Bararpour, Nasim, Gasser, Marie, Marques-Vidal, Pedro, Froguel, Philippe, Waeber, Gerard, Thomas, Aurelien and Kutalik, Zoltán (2021). Triangulating evidence from longitudinal and Mendelian randomization studies of metabolomic biomarkers for type 2 diabetes. Scientific Reports, 11 (1) 6197, 6197. doi: 10.1038/s41598-021-85684-7

  • Wang, Xiaotong, Lin, Tian, Yengo, Loic, Sidorenko, Julia, Wray, Naomi R. and Levinson, Douglas F. (2021). Polygenic burden could explain high rates of affective disorders in a community with restricted founder population. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 186 (6), 367-375. doi: 10.1002/ajmg.b.32876

  • Visscher, Peter M., Yengo, Loic, Cox, Nancy J. and Wray, Naomi R. (2021). Discovery and implications of polygenicity of common diseases. Science, 373 (6562), 1468-1473. doi: 10.1126/science.abi8206

  • van Blokland, Irene V., Lanting, Pauline, Ori, Anil P.S., Vonk, Judith M., Warmerdam, Robert C.A., Herkert, Johanna C., Boulogne, Floranne, Claringbould, Annique, Lopera-Maya, Esteban A., Bartels, Meike, Hottenga, Jouke-Jan, Ganna, Andrea, Karjalainen, Juha, Hayward, Caroline, Fawns-Ritchie, Chloe, Campbell, Archie, Porteous, David, Cirulli, Elizabeth T., Barrett, Kelly M. Schiabor, Riffle, Stephen, Bolze, Alexandre, White, Simon, Tanudjaja, Francisco, Wang, Xueqing, Ramirez, Jimmy M., Lim, Yan Wei, Lu, James T., Washington, Nicole L., de Geus, Eco J. C. ... Yengo, Loic (2021). Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility. PLoS One, 16 (8) e0255402, 1-18. doi: 10.1371/journal.pone.0255402

  • Yengo, Loic, Yang, Jian, Keller, Matthew C., Goddard, Michael E., Wray, Naomi R. and Visscher, Peter M. (2021). Genomic partitioning of inbreeding depression in humans. American Journal of Human Genetics, 108 (8), 1488-1501. doi: 10.1016/j.ajhg.2021.06.005

  • 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, Kaakinen, Marika A., Louie, Tin, März, Winfried, Moreno-Macias, Hortensia, Ndungu, Anne, Nelson, Sarah C. ... Barroso, Inês (2021). The trans-ancestral genomic architecture of glycemic traits. Nature genetics, 53 (6), 840-860. doi: 10.1038/s41588-021-00852-9

  • Muto, Vincenzo, Koshmanova, Ekaterina, Ghaemmaghami, Pouya, Jaspar, Mathieu, Meyer, Christelle, Elansary, Mahmoud, Van Egroo, Maxime, Chylinski, Daphne, Berthomier, Christian, Brandewinder, Marie, Mouraux, Charlotte, Schmidt, Christina, Hammad, Gregory, Coppieters, Wouter, Ahariz, Naima, Degueldre, Christian, Luxen, Andre, Salmon, Eric, Phillips, Christophe, Archer, Simon N, Yengo, Loic, Byrne, Enda, Collette, Fabienne, Georges, Michel, Dijk, Derk-Jan, Maquet, Pierre, Visscher, Peter M and Vandewalle, Gilles (2021). Erratum: Alzheimer's disease genetic risk and sleep phenotypes in healthy young men: Association with more slow waves and daytime sleepiness (SLEEP DOI: 10.1093/sleep/zsaa137). Sleep, 44 (5) zsaa137. doi: 10.1093/sleep/zsab079

  • Hivert, Valentin, Sidorenko, Julia, Rohart, Florian, Goddard, Michael E., Yang, Jian, Wray, Naomi R., Yengo, Loic and Visscher, Peter M. (2021). Estimation of non-additive genetic variance in human complex traits from a large sample of unrelated individuals. The American Journal of Human Genetics, 108 (5), 786-798. doi: 10.1016/j.ajhg.2021.02.014

  • Guo, Jing, Bakshi, Andrew, Wang, Ying, Jiang, Longda, Yengo, Loic, Goddard, Michael E., Visscher, Peter M. and Yang, Jian (2021). Quantifying genetic heterogeneity between continental populations for human height and body mass index. Scientific Reports, 11 (1) 5240, 1-9. doi: 10.1038/s41598-021-84739-z

  • Zeng, Jian, Xue, Angli, Jiang, Longda, Lloyd-Jones, Luke R., Wu, Yang, Wang, Huanwei, Zheng, Zhili, Yengo, Loic, Kemper, Kathryn E., Goddard, Michael E., Wray, Naomi R., Visscher, Peter M. and Yang, Jian (2021). Widespread signatures of natural selection across human complex traits and functional genomic categories. Nature Communications, 12 (1) 1164, 1-12. doi: 10.1038/s41467-021-21446-3

  • Kemper, Kathryn E., Yengo, Loic, Zheng, Zhili, Abdellaoui, Abdel, Keller, Matthew C., Goddard, Michael E., Wray, Naomi R., Yang, Jian and Visscher, Peter M. (2021). Phenotypic covariance across the entire spectrum of relatedness for 86 billion pairs of individuals. Nature Communications, 12 (1) 1050, 1050. doi: 10.1038/s41467-021-21283-4

  • Baselmans, Bart M.L., Yengo, Loic, van Rheenen, Wouter and Wray, Naomi R. (2021). Risk in relatives, heritability, SNP-based heritability and genetic correlations in psychiatric disorders: a review. Biological Psychiatry, 89 (1), 11-19. doi: 10.1016/j.biopsych.2020.05.034

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  • 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

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  • Morris, Andrew P., Voight, Benjamin F., Teslovich, Tanya M., Ferreira, Teresa, Segre, Ayellet V., Steinthorsdottir, Valgerdur, Strawbridge, Rona J., Khan, Hassan, Grallert, Harald, Mahajan, Anubha, Prokopenko, Inga, Kang, Hyun Min, Dina, Christian, Esko, Tonu, Fraser, Ross M., Kanoni, Stavroula, Kumar, Ashish, Lagou, Vasiliki, Langenberg, Claudia, Luan, Jian'an, Lindgren, Cecilia M., Mueller-Nurasyid, Martina, Pechlivanis, Sonali, Rayner, N. William, Scott, Laura J., Wiltshire, Steven, Yengo, Loic, Kinnunen, Leena, Rossin, Elizabeth J. ... Shah, Sonia (2012). Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nature Genetics, 44 (9), 981-990. doi: 10.1038/ng.2383

  • Okada, Y., Sim, X., Go, M. J., Wu, J. Y., Gu, D., Takeuchi, F., Takahashi, A., Maeda, S., Tsunoda, T., Chen, P., Lim, S. C., Wong, T. Y., Liu, J., Young, T. L., Aung, T., Seielstad, M., Teo, Y. Y., Kim, Y. J., Lee, J. Y., Han, B. g., Kang, D., Chen, C. h., Tsai, F. j., Chang, L. c., Fann, S. j., Mei, H., Rao, D. c., Hixson, J. e., Chen, S. ... Gieger, C. (2012). Meta-analysis identifies multiple loci associated with kidney function-related traits in east Asian populations. Nature Genetics, 44 (8), 904-909. doi: 10.1038/ng.2352

  • Perry, John R. B., Voight, Benjamin F., Yengo, Loic, Amin, Najaf, Dupuis, Josee, Ganser, Martha, Grallert, Harald, Navarro, Pau, Li, Man, Qi, Lu, Steinthorsdottir, Valgerdur, Scott, Robert A., Almgren, Peter, Arking, Dan E., Aulchenko, Yurii, Balkau, Beverley, Benediktsson, Rafn, Bergman, Richard N., Boerwinkle, Eric, Bonnycastle, Lori, Burtt, Noel P., Campbell, Harry, Charpentier, Guillaume, Collins, Francis S., Gieger, Christian, Green, Todd, Hadjadj, Samy, Hattersley, Andrew T., Herder, Christian ... Cauchi, Stephane (2012). Stratifying type 2 diabetes cases by BMI identifies genetic risk variants in LAMA1 and enrichment for risk variants in lean compared to obese cases. Plos Genetics, 8 (5) e1002741, e1002741. doi: 10.1371/journal.pgen.1002741

  • Ichimura, Atsuhiko, Hirasawa, Akira, Poulain-Godefroy, Odile, Bonnefond, Amelie, Hara, Takafumi, Yengo, Loic, Kimura, Ikuo, Leloire, Audrey, Liu, Ning, Iida, Keiko, Choquet, Helene, Besnard, Philippe, Lecoeur, Cecile, Vivequin, Sidonie, Ayukawa, Kumiko, Takeuchi, Masato, Ozawa, Kentaro, Tauber, Maithe, Maffeis, Claudio, Morandi, Anita, Buzzetti, Raffaella, Elliott, Paul, Pouta, Anneli, Jarvelin, Marjo-Riitta, Koerner, Antje, Kiess, Wieland, Pigeyre, Marie, Caiazzo, Roberto, Van Hul, Wim ... Froguel, Philippe (2012). Dysfunction of lipid sensor GPR120 leads to obesity in both mouse and human. Nature, 483 (7389), 350-354. doi: 10.1038/nature10798

  • Bonnefond, A., Poulain-Godefroy, O., Ichimura, A., Hirasawa, A., Yengo, L., Leloire, A., Choquet, H., Meyre, D., Pattou, F., Wolowczuk, I., Tsujimoto, G. and Froguel, P. (2012). O53 - Alteration of the omega-3 unsaturated fatty acid receptor GPR120 leads to obesity in humans and mice O53 L'altération du récepteur des acides gras insaturés de type omega-3 GPR120 entraîne une obésité chez l'Homme et la Souris. Diabetes and Metabolism, 38. doi: 10.1016/S1262-3636(12)71031-5

  • Creemers, John W. M., Choquet, Helene, Stijnen, Pieter, Vatin, Vincent, Pigeyre, Marie, Beckers, Sigri, Meulemans, Sandra, Than, Manuel E., Yengo, Loic, Tauber, Maithe, Balkan, Beverley, Elliott, Paul, Jarvelin, Marjo-Riitta, Van Hul, Wim, Van Gaal, Luc, Horber, Fritz, Pattou, Francois, Froguel, Philippe and Meyre, David (2012). Heterozygous mutations causing partial prohormone convertase 1 deficiency contribute to human obesity. Diabetes, 61 (2), 383-390. doi: 10.2337/db11-0305

  • Marquez, Marcel, Huyvaert, Marlene, Perry, John R. B., Pearson, Richard D., Falchi, Mario, Morris, Andrew P., Vivequin, Sidonie, Lobbens, Stephane, Yengo, Loic, Gaget, Stefan, Pattou, Francois, Poulain-Godefroy, Odile, Charpentier, Guillaume, Carlsson, Lena M. S., Jacobson, Peter, Sjostrom, Lars, Lantieri, Olivier, Heude, Barbara, Walley, Andrew, Balkau, Beverley, Marre, Michel, Froguel, Philippe and Cauchi, Stephane (2012). Low-frequency variants in HMGA1 are not associated with type 2 diabetes risk. Diabetes, 61 (2), 524-530. doi: 10.2337/db11-0728

  • Bonnefond, Amelie, Clement, Nathalie, Fawcett, Katherine, Yengo, Loic, Vaillant, Emmanuel, Guillaume, Jean-Luc, Dechaume, Aurelie, Payne, Felicity, Roussel, Ronan, Czernichow, Sebastien, Hercberg, Serge, Hadjadj, Samy, Balkau, Beverley, Marre, Michel, Lantieri, Olivier, Langenberg, Claudia, Bouatia-Naji, Nabila, Charpentier, Guillaume, Vaxillaire, Martine, Rocheleau, Ghislain, Wareham, Nicholas J., Sladek, Robert, McCarthy, Mark I., Dina, Christian, Barroso, Ines, Jockers, Ralf and Froguel, Philippe (2012). Rare MTNR1B variants impairing melatonin receptor 1B function contribute to type 2 diabetes. Nature Genetics, 44 (3), 297-301. doi: 10.1038/ng.1053

  • Scott, Robert A., Lagou, Vasiliki, Welch, Ryan P., Wheeler, Eleanor, Montasser, May E., Luan, Jian’an, Mägi, Reedik, Strawbridge, Rona J., Rehnberg, Emil, Gustafsson, Stefan, Kanoni, Stavroula, Rasmussen-Torvik, Laura J., Yengo, Loïc, Lecoeur, Cecile, Shungin, Dmitry, Sanna, Serena, Sidore, Carlo, Johnson, Paul C. D., Jukema, J. Wouter, Johnson, Toby, Mahajan, Anubha, Verweij, Niek, Thorleifsson, Gudmar, Hottenga, Jouke-Jan, Shah, Sonia, Smith, Albert V., Sennblad, Bengt, Gieger, Christian, Salo, Perttu ... Barroso, Inês (2012). Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nature Genetics, 44 (9), 991-1005. doi: 10.1038/ng.2385

  • Bonnefond, Amelie, Lomberk, Gwen, Buttar, Navtej, Busiah, Kanetee, Vaillant, Emmanuel, Lobbens, Stephane, Yengo, Loic, Dechaume, Aurelie, Mignot, Brigitte, Simon, Albane, Scharfmann, Raphael, Neve, Bernadette, Tanyolac, Sinan, Hodoglugil, Ugur, Pattou, Francois, Cave, Helene, Iovanna, Juan, Stein, Roland, Polak, Michel, Vaxillaire, Martine, Froguel, Philippe and Urrutia, Raul (2011). Disruption of a novel Krüppel-like transcription factor p300-regulated pathway for insulin biosynthesis revealed by studies of the c.-331 INS mutation found in neonatal diabetes mellitus. Journal of Biological Chemistry, 286 (32), 28414-28424. doi: 10.1074/jbc.M110.215822

Conference Publication

  • 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

  • Yengo, L. (2022). 3. Discoveries and lessons from a genome-wide association study of human height in >5 million individuals. The Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_3

  • Okbay, Aysu, Wu, Yeda, Wang, Nancy, Jayashankar, Hariharan, Bennett, Michael, Nehzati, Seyed Moeen, Sidorenko, Julia, Kweon, Hermon, Goldman, Grant, Gjorgjieva, Tamara, Jiang, Yunxuan, Tian, Chao, Ahlskog, Rafael, Magnusson, Patrik K. E., Oskarsson, Sven, Hayward, Caroline, Campbell, Archie, Porteous, David, Freese, Jeremy, Herd, Pamela, Watson, Chelsea, Jala, Jonathan, Conley, Dalton C., Koellinger, Philipp D., Johannesson, Magnus, Laibson, David I., Meyer, Michelle N., Lee, James J., Kong, Augustine ... Young, Alexander I. (2021). Polygenic prediction within and between families from a 3-million-person GWAS of educational attainment. Behavior Genetics Association 51st Annual Meeting, Online, 2021. New York, NY United States: Springer. doi: 10.1007/s10519-021-10087-3

  • Gratten, Jacob, Yang, Yuanhao, Trzaskowski, Maciej, Kemper, Kathryn, Yengo, Loic, Zheng, Zhili, Zhang, Futao, Zhu, Zhihong, Mcrae, Allan, Yang, Jian, Wray, Naomi and Visscher, Peter (2019). Common genetic variation explains a high proportion of the elevated risk of psychiatric disorders in children of younger mothers. 26th World Congress of Psychiatric Genetics (WCPG), Glasgow, Scotland, 11-15 October, 2018. Amsterdam, Netherlands: Elsevier BV. doi: 10.1016/j.euroneuro.2018.08.167

  • 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

  • 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.

  • Yengo, Loïc, Brochot, Céline and Péry, Alexandre (2010). Combined global sensitivity analysis and population PBPK modeling for assessing consistency of TCDD toxicokinetics data in mice. doi: 10.1016/j.sbspro.2010.05.220

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • 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