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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

  • PhD in Applied Mathematics, Lille I

Publications

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Grants

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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

View all Available Projects

Publications

Journal Article

  • Mate choice through a genomic lens

    Yengo, Loic (2023). Mate choice through a genomic lens. Nature Reviews Genetics, 1-1. doi: 10.1038/s41576-023-00605-w

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • The effect of the scale of grant scoring on ranking accuracy

    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

  • A saturated map of common genetic variants associated with human height

    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

  • Genetic footprints of assortative mating in the Japanese population

    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

  • Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

    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

  • Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

    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

  • Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data

    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

  • Assortative mating biases marker-based heritability estimators

    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

  • 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. doi: 10.1007/s00406-022-01527-0

  • Mapping the human genetic architecture of COVID-19

    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

  • Mapping the human genetic architecture of COVID-19

    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

  • Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization

    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

  • 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)

    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

  • Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability

    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

  • Triangulating evidence from longitudinal and Mendelian randomization studies of metabolomic biomarkers for type 2 diabetes

    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

  • Polygenic burden could explain high rates of affective disorders in a community with restricted founder population

    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

  • Discovery and implications of polygenicity of common diseases

    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

  • Genomic partitioning of inbreeding depression in humans

    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

  • The trans-ancestral genomic architecture of glycemic traits

    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

  • 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)

    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

  • Estimation of non-additive genetic variance in human complex traits from a large sample of unrelated individuals

    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

  • Quantifying genetic heterogeneity between continental populations for human height and body mass index

    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

  • Widespread signatures of natural selection across human complex traits and functional genomic categories

    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

  • Phenotypic covariance across the entire spectrum of relatedness for 86 billion pairs of individuals

    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

  • Risk in relatives, heritability, SNP-based heritability and genetic correlations in psychiatric disorders: a review

    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

  • Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits

    Vogelezang, Suzanne, Bradfield, Jonathan P., Ahluwalia, Tarunveer S., Curtin, John A., Lakka, Timo A., Grarup, Niels, Scholz, Markus, van der Most, Peter J., Monnereau, Claire, Stergiakouli, Evie, Heiskala, Anni, Horikoshi, Momoko, Fedko, Iryna O., Vilor-Tejedor, Natalia, Cousminer, Diana L., Standl, Marie, Wang, Carol A., Viikari, Jorma, Geller, Frank, Íñiguez, Carmen, Pitkänen, Niina, Chesi, Alessandra, Bacelis, Jonas, Yengo, Loic, Torrent, Maties, Ntalla, Ioanna, Helgeland, Øyvind, Selzam, Saskia, Vonk, Judith M. ... Felix, Janine F. (2020). Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits. PLoS Genetics, 16 (10) e1008718, e1008718. doi: 10.1371/journal.pgen.1008718

  • Pathogenic variants in actionable MODY genes are associated with type 2 diabetes

    Bonnefond, Amélie, Boissel, Mathilde, Bolze, Alexandre, Durand, Emmanuelle, Toussaint, Bénédicte, Vaillant, Emmanuel, Gaget, Stefan, Graeve, Franck De, Dechaume, Aurélie, Allegaert, Frédéric, Guilcher, David Le, Yengo, Loïc, Dhennin, Véronique, Borys, Jean-Michel, Lu, James T., Cirulli, Elizabeth T., Elhanan, Gai, Roussel, Ronan, Balkau, Beverley, Marre, Michel, Franc, Sylvia, Charpentier, Guillaume, Vaxillaire, Martine, Canouil, Mickaël, Washington, Nicole L., Grzymski, Joseph J. and Froguel, Philippe (2020). Pathogenic variants in actionable MODY genes are associated with type 2 diabetes. Nature Metabolism, 2 (10), 1126-1134. doi: 10.1038/s42255-020-00294-3

  • Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture

    Zhang, Qian, Sidorenko, Julia, Couvy-Duchesne, Baptiste, Marioni, Riccardo E., Wright, Margaret J., Goate, Alison M., Marcora, Edoardo, Huang, Kuan-lin, Porter, Tenielle, Laws, Simon M., Australian Imaging Biomarkers and Lifestyle (AIBL) Study, Sachdev, Perminder S., Mather, Karen A., Armstrong, Nicola J., Thalamuthu, Anbupalam, Brodaty, Henry, Yengo, Loic, Yang, Jian, Wray, Naomi R., McRae, Allan F. and Visscher, Peter M. (2020). Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture. Nature Communications, 11 (1) 4799, 1-11. doi: 10.1038/s41467-020-18534-1

  • Using prior information from humans to prioritize genes and gene-associated variants for complex traits in livestock

    Raymond, Biaty, Yengo, Loic, Costilla, Roy, Schrooten, Chris, Bouwman, Aniek C., Hayes, Ben J., Veerkamp, Roel F. and Visscher, Peter M. (2020). Using prior information from humans to prioritize genes and gene-associated variants for complex traits in livestock. PLoS Genetics , 16 (9) e1008780, 1-20. doi: 10.1371/journal.pgen.1008780

  • Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations

    Wang, Ying, Guo, Jing, Ni, Guiyan, Yang, Jian, Visscher, Peter M. and Yengo, Loic (2020). Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations. Nature Communications, 11 (1) 3865, 3865. doi: 10.1038/s41467-020-17719-y

  • A unified framework for association and prediction from vertex‐wise grey‐matter structure

    Couvy‐Duchesne, Baptiste, Strike, Lachlan T., Zhang, Futao, Holtz, Yan, Zheng, Zhili, Kemper, Kathryn E., Yengo, Loic, Colliot, Olivier, Wright, Margaret J., Wray, Naomi R., Yang, Jian and Visscher, Peter M. (2020). A unified framework for association and prediction from vertex‐wise grey‐matter structure. Human Brain Mapping, 41 (14) hbm.25109, 4062-4076. doi: 10.1002/hbm.25109

  • No evidence for social genetic effects or genetic similarity among friends beyond that due to population stratification: A reappraisal of Domingue et al (2018)

    Yengo, Loic, Sidari, Morgan, Verweij, Karin J. H., Visscher, Peter M., Keller, Matthew C. and Zietsch, Brendan P. (2019). No evidence for social genetic effects or genetic similarity among friends beyond that due to population stratification: A reappraisal of Domingue et al (2018). Behavior Genetics, 50 (1), 67-71. doi: 10.1007/s10519-019-09979-2

  • Improved polygenic prediction by Bayesian multiple regression on summary statistics

    Lloyd-Jones, Luke R., Zeng, Jian, Sidorenko, Julia, Yengo, Loïc, Moser, Gerhard, Kemper, Kathryn E., Wang, Huanwei, Zheng, Zhili, Magi, Reedik, Esko, Tõnu, Metspalu, Andres, Wray, Naomi R., Goddard, Michael E., Yang, Jian and Visscher, Peter M. (2019). Improved polygenic prediction by Bayesian multiple regression on summary statistics. Nature Communications, 10 (1) 5086, 1-10. doi: 10.1038/s41467-019-12653-0

  • Genetic correlates of social stratification in Great Britain

    Abdellaoui, Abdel, Hugh-Jones, David, Yengo, Loic, Kemper, Kathryn E., Nivard, Michel G., Veul, Laura, Holtz, Yan, Zietsch, Brendan P., Frayling, Timothy M., Wray, Naomi R., Yang, Jian, Verweij, Karin J. H. and Visscher, Peter M. (2019). Genetic correlates of social stratification in Great Britain. Nature Human Behaviour, 3 (12), 1332-1342. doi: 10.1038/s41562-019-0757-5

  • Extreme inbreeding in a European ancestry sample from the contemporary UK population

    Yengo, Loic, Wray, Naomi R. and Visscher, Peter M. (2019). Extreme inbreeding in a European ancestry sample from the contemporary UK population. Nature Communications, 10 (1) 3719, 3719. doi: 10.1038/s41467-019-11724-6

  • Assortative mating in autism spectrum disorder: toward an evidence base from DNA data, but not there yet

    Wray, Naomi R. and Yengo, Loic (2019). Assortative mating in autism spectrum disorder: toward an evidence base from DNA data, but not there yet. Biological Psychiatry, 86 (4), 250-252. doi: 10.1016/j.biopsych.2019.06.007

  • Genome-wide association study of change in fasting glucose over time in 13,807 non-diabetic European ancestry individuals

    Liu, Ching-Ti, Merino, Jordi, Rybin, Denis, DiCorpo, Daniel, Benke, Kelly S., Bragg-Gresham, Jennifer L., Canouil, Mickaël, Corre, Tanguy, Grallert, Harald, Isaacs, Aaron, Kutalik, Zoltan, Lahti, Jari, Marullo, Letizia, Marzi, Carola, Rasmussen-Torvik, Laura J., Rocheleau, Ghislain, Rueedi, Rico, Scapoli, Chiara, Verweij, Niek, Vogelzangs, Nicole, Willems, Sara M., Yengo, Loïc, Bakker, Stephan J. L., Beilby, John, Hui, Jennie, Kajantie, Eero, Müller-Nurasyid, Martina, Rathmann, Wolfgang, Balkau, Beverley ... Bouatia-Naji, Nabila (2019). Genome-wide association study of change in fasting glucose over time in 13,807 non-diabetic European ancestry individuals. Scientific Reports, 9 (1) 9439. doi: 10.1038/s41598-019-45823-7

  • Genome-wide association study of medication-use and associated disease in the UK Biobank

    Wu, Yeda, Byrne, Enda M., Zheng, Zhili, Kemper, Kathryn E., Yengo, Loic, Mallett, Andrew J., Yang, Jian, Visscher, Peter M. and Wray, Naomi R. (2019). Genome-wide association study of medication-use and associated disease in the UK Biobank. Nature Communications, 10 (1) 1891, 1891. doi: 10.1038/s41467-019-09572-5

  • Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry

    Pulit, Sara L., Stoneman, Charli, Morris, Andrew P., Wood, Andrew R., Glastonbury, Craig A., Tyrrell, Jessica, Yengo, Loïc, Ferreira, Teresa, Marouli, Eirini, Ji, Yingjie, Yang, Jian, Jones, Samuel, Beaumont, Robin, Croteau-Chonka, Damien C., Winkler, Thomas W., Consortium, Giant, Hattersley, Andrew T., Loos, Ruth J F, Hirschhorn, Joel N., Visscher, Peter M., Frayling, Timothy M., Yaghootkar, Hanieh and Lindgren, Cecilia M. (2019). Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry. Human Molecular Genetics, 28 (1), 166-174. doi: 10.1093/hmg/ddy327

  • Assortative mating on complex traits revisited: Double first cousins and the X-chromosome

    Yengo, Loic and Visscher, Peter M. (2018). Assortative mating on complex traits revisited: Double first cousins and the X-chromosome. Theoretical Population Biology, 124, 51-60. doi: 10.1016/j.tpb.2018.09.002

  • Imprint of assortative mating on the human genome

    Yengo, Loic, Robinson, Matthew R., Keller, Matthew C., Kemper, Kathryn E., Yang, Yuanhao, Trzaskowski, Maciej, Gratten, Jacob, Turley, Patrick, Cesarini, David, Benjamin, Daniel J., Wray, Naomi R., Goddard, Michael E., Yang, Jian and Visscher, Peter M. (2018). Imprint of assortative mating on the human genome. Nature Human Behaviour, 2 (12), 948-954. doi: 10.1038/s41562-018-0476-3

  • Erratum: Author Correction: Misestimation of heritability and prediction accuracy of male-pattern baldness (Nature communications (2018) 9 1 (2537))

    Yap, Chloe X., Sidorenko, Julia, Marioni, Riccardo E., Yengo, Loic, Wray, Naomi R. and Visscher, Peter M. (2018). Erratum: Author Correction: Misestimation of heritability and prediction accuracy of male-pattern baldness (Nature communications (2018) 9 1 (2537)). Nature communications, 9 (1) 4953, 4953. doi: 10.1038/s41467-018-07400-w

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

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

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  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

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

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  • The genetic architecture of type 2 diabetes

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  • Epigenome-wide association of DNA methylation markers in peripheral blood from Indian Asians and Europeans with incident type 2 diabetes: A nested case-control study

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  • The loss-of-function PCSK9 p.R46L genetic variant does not alter glucose homeostasis

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  • Genetic studies of body mass index yield new insights for obesity biology

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  • New genetic loci link adipose and insulin biology to body fat distribution

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  • Beneficial effect of a high number of copies of salivary amylase AMY1 gene on obesity risk in Mexican children

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  • Defining the role of common variation in the genomic and biological architecture of adult human height

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  • Type 2 diabetes-related genetic risk scores associated with variations in fasting plasma glucose and development of impaired glucose homeostasis in the prospective DESIR study

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  • Coffee and tea consumption, genotype-based CYP1A2 and NAT2 activity and colorectal cancer risk - results from the EPIC cohort study

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  • Weight loss independent association of TCF7 L2 gene polymorphism with fasting blood glucose after Roux-en-Y gastric bypass in type 2 diabetic patients

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  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

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  • Parental history of type 2 diabetes, TCF7L2 variant and lower insulin secretion are associated with incident hypertension. Data from the DESIR and RISC cohorts

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  • Common variants near BDNF and SH2B1 show nominal evidence of association with snacking behavior in European populations

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  • Association between large detectable clonal mosaicism and type 2 diabetes with vascular complications

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  • Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders

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  • Transcription factor gene MNX1 is a novel cause of permanent neonatal diabetes in a consanguineous family

    Bonnefond, A., Vaillant, E., Philippe, J., Skrobek, B., Lobbens, S., Yengo, L., Huyvaert, M., Cave, H., Busiah, K., Scharfmann, R., Polak, M., Abdul-Rasoul, M., Froguel, P. and Vaxillaire, M. (2013). Transcription factor gene MNX1 is a novel cause of permanent neonatal diabetes in a consanguineous family. Diabetes and Metabolism, 39 (3), 276-280. doi: 10.1016/j.diabet.2013.02.007

  • Reassessment of the putative role of BLK-p.A71T loss-of-function mutation in MODY and type 2 diabetes

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  • Analysis of the contribution of FTO, NPC1, ENPP1, NEGR1, GNPDA2 and MC4R genes to obesity in Mexican children

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  • Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

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  • Contribution of 24 obesity-associated genetic variants to insulin resistance, pancreatic beta-cell function and type 2 diabetes risk in the French population

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  • GUESS-ing Polygenic Associations with Multiple Phenotypes Using a GPU-Based Evolutionary Stochastic Search Algorithm

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  • Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

    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

  • Meta-analysis identifies multiple loci associated with kidney function-related traits in east Asian populations

    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

  • Stratifying type 2 diabetes cases by BMI identifies genetic risk variants in LAMA1 and enrichment for risk variants in lean compared to obese cases

    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

  • Dysfunction of lipid sensor GPR120 leads to obesity in both mouse and human

    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

  • 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

    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

  • Heterozygous mutations causing partial prohormone convertase 1 deficiency contribute to human obesity

    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

  • Low-frequency variants in HMGA1 are not associated with type 2 diabetes risk

    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

  • Rare MTNR1B variants impairing melatonin receptor 1B function contribute to type 2 diabetes

    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

  • Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

    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

  • 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

    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

PhD and MPhil Supervision

Current Supervision

  • Investigating the time and tissue dependent genetic architecture of complex traits

    Doctor Philosophy — Principal Advisor

    Other advisors:

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

    Doctor Philosophy — Principal Advisor

    Other advisors:

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

    Doctor Philosophy — Associate Advisor

    Other advisors:

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.

  • 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

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Links

ResearcherID: D-2692-2017

ORCID: 0000-0002-4272-9305

Scopus ID: 36189115500

Personal Profile: Link

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