Hong Lee

Research Interests

Genetics Genetics & Heredity Genomics Medical Genetics Quantitative Genetics Statistical and quantitative genetics

Teaching Strengths

Introducing novel and timely knowledge
Deep (intrinsic) approaches to learning
Dissecting specific algorithms
Using software enhancing understanding
Linking teaching with research

APrf Hong Lee

Associate Professor

School of Public Health

College of Health

Associate Professor Sang Hong Lee (Hong Lee) is the leader of the statistical genetics group at the Australian Centre for Precision Health and UniSA Allied Health & Human Performance at University of South Australia. He graduated from Dong-A University in S. Korea (Bachelor in 1998) and University of New England (Master and PhD in 2006). Dr Lee has extensive experience in developing advanced statistical methods to estimate genetic variance and individual genetic effects based on phenotype-genotype association analyses. Currently, Dr Lee is focusing on understanding the genetic architecture of complex traits by tackling G x E interaction using advanced statistical models. His developed models and methods have been also widely used across multidisciplinary fields including human genetics, animal and plant breeding, evolutionary genetics and social and behavior science. The total number of his publications is 104 that have ~24,000 citations to date and h-index 54.
He is also keen to contribute to teaching and learning by introducing novel concept, theory, statistical tools and genetic models for analysing epidemiology data. In teaching, he is particularly interested in including paradigm-shifting concepts and tools that have been recently proposed to dissect the genetic architecture of complex traits and diseases, which help students explore wider research area and carry out a higher degree research course. His teaching materials focus on 1) up-to-date knowledge in teaching, 2) students’ feedback that I will act on, 3) monitoring how my teaching influences student learning and 4) making an impact on student learning.
 
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I have contributed to the dissection of the (shared) genetic architecture of complex traits and diseases using advanced statistical models and methods in computational biology based on genomic information, aiming for personalised genomic medicine. One of key elements in my research is to link two individuals who are not related in the conventional sense but who can be compared experimentally because they share part of their genome by descent over many generations. Genomic data create links between individuals in the population so that traditional experimental design is not essential anymore, which is a paradigm-shifting concept.

Another key element in my research is the development of advanced algorithms that are most suitable for utilising genomic information, and of which computational efficiency is hundreds of times higher compared to the current methods. This paradigm-shifting tool has led works have a significant impact on the filed. My five most significant papers (4 first- and 1 second-authored) have been published in Nature Genetics (2012; 2013), American Journal of Human Genetics (2011; 2011) and Bioinformatics (2013). The number of citations for these five publications is ~ 4400 to date (Google Scholar). The number of citations for all publications for the last 5 years (since 2013) is ~ 11500, and includes citation in Nature, Science, Nature Neuroscience, Molecular Psychiatry, JAMA Psychiatry, Proceedings of the National Academy of Sciences and many others. I have 42 publications that have more than 42 citations (h-index = 42).

Date Position Institution name
2022 - 2027 Principal Research Fellow The South Australian Health and Medical Research Institute
2017 - ongoing Associate Professor University of South Australia

Date Type Title Institution Name Country Amount
2025 Nomination Finalist in the Australian Museum Eureka Prizes in the category of Scientific Research Australian Museum Australia -
2023 Research Award MRFF Research Grant National Health and Medical Research Council Australia -
2022 Recognition Certificate of Recognition Rural Development Administration Korea, Republic of -
2021 Research Award MRFF Research Grant National Health and Medical Research Council Australia -
2019 Research Award ARC Discovery project grant Australian Research Council Australia -
2017 Fellowship ARC Future Fellowship Australian Research Council Australia -
2014 Nomination Finalist in the Australia Society of Medical Research Queensland Health and Medical Senior Researcher Award Australia Society of Medical Research Australia -

Language Competency
English Can read, write, speak, understand spoken and peer review
Korean Can read, write, speak, understand spoken and peer review

Date Institution name Country Title
2002 - 2006 University of New England Australia Doctor of Philosophy

Year Citation
2025 Zhang, Q. X., Jayasinghe, D., Zhang, Z., Lee, S. H., Xu, H. M., & Chen, G. B. (2025). Precise estimation of in-depth relatedness in biobank-scale datasets using deepKin. Cell Reports Methods, 5(6, article no. 101053), 1-20.
DOI Scopus2 WoS3 Europe PMC2
2025 Stacey, D., Gaziano, L., Eldi, P., Toben, C., Benyamin, B., Lee, S. H., & Hyppönen, E. (2025). A Transcriptome-Wide Mendelian Randomization Study in Isolated Human Immune Cells Highlights Risk Genes Involved in Viral Infections and Potential Drug Repurposing Opportunities for Schizophrenia. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 198(6), 19-31.
DOI
2025 Amente, L. D., Mills, N. T., Le, T. D., Hyppönen, E., & Lee, S. H. (2025). A latent outcome variable approach for Mendelian randomization using the stochastic expectation maximization algorithm. Human Genetics, 144(5), 559-574.
DOI Scopus1 WoS1 Europe PMC1
2025 Mulugeta, A., Stacey, D., Lumsden, A. L., Madakkatel, I., Lee, S. H., Mäenpää, J., . . . Hyppönen, E. (2025). Protein markers of ovarian cancer and its subtypes: insights from proteome-wide Mendelian randomisation analysis. British Journal Of Cancer, 133(8), 1208-1217.
DOI
2025 Dewau, R., Byrne, S., Hyppönen, E., Lee, S. H., & Benyamin, B. (2025). Genetic and Environmental Contributions to Child Height in Low- and Middle-Income Countries. American Journal of Human Biology, 37(9), e70134.
DOI Europe PMC1
2025 Amente, L. D., Mills, N. T., Le, T. D., Hypponen, E., & Lee, S. H. (2025). Disentangling horizontal and vertical Pleiotropy in genetic correlation estimation: introducing the HVP model. Human Genetics, 144(8), 861-876.
DOI Europe PMC1
2025 Jayasinghe, D., Pham, V. V. H., Beckmann, K., Benyamin, B., & Lee, S. H. (2025). Analyzing complex traits and diseases using GxE PRS: genotype-environment interaction in polygenic risk score models. Journal of Human Genetics, 70(11), 547-556.
DOI
2025 Pinero, S., Li, X., Liu, L., Li, J., Lee, S. H., Winter, M., . . . Le, T. D. (2025). Integrative multi-omics framework for causal gene discovery in Long COVID. Plos Computational Biology, 21(12), e1013725.
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2024 Stacey, D., Suppiah, V., Benyamin, B., Lee, S. H., & Hyppönen, E. (2024). In-silico functional analyses identify TMPRSS15-mediated intestinal absorption of lithium as a modulator of lithium response in bipolar disorder. Journal of Affective Disorders, 358, 416-421.
DOI Scopus2 WoS2 Europe PMC2
2024 Duko, B., Mengistu, T. S., Stacey, D., Moran, L. J., Tessema, G., Pereira, G., . . . Hyppönen, E. (2024). Associations between maternal preconception and pregnancy adiposity and neuropsychiatric and behavioral outcomes in the offspring: a systematic review and meta-analysis. Psychiatry Research, 342(116149), 1-20.
DOI Scopus9 WoS6 Europe PMC4
2024 Yalew, M., Mulugeta, A., Lumsden, A. L., Madakkatel, I., Lee, S. H., Oehler, M. K., . . . Hyppönen, E. (2024). Circulating Phylloquinone and the Risk of Four Female-Specific Cancers: A Mendelian Randomization Study. Nutrients, 16(21), nu16213680-1-nu16213680-9.
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2024 Dewau, R., Boomsma, A., Doyle, C., Byrne, S., Hyppönen, E., Lee, S. H., & Benyamin, B. (2024). Meta-Analysis of the Heritability of Childhood Height From 560 000 Pairs of Relatives Born Between 1929 and 2004. American Journal of Human Biology, 37(1), e24188-1-e24188-15.
DOI Scopus3 WoS3 Europe PMC3
2024 Truong, B., Hull, L. E., Ruan, Y., Huang, Q. Q., Hornsby, W., Martin, H., . . . Natarajan, P. (2024). Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases. Cell Genomics, 4(4), 1-17.
DOI Scopus33 WoS34 Europe PMC65
2024 Jayasinghe, D., Eshetie, S., Beckmann, K., Benyamin, B., & Lee, S. H. (2024). Advancements and limitations in polygenic risk score methods for genomic prediction: a scoping review. Human Genetics, 143(12), 1401-1431.
DOI Scopus10 WoS11 Europe PMC16
2024 Jayasinghe, D., Momin, M. M., Beckmann, K., Hyppönen, E., Benyamin, B., & Lee, S. H. (2024). Mitigating type 1 error inflation and power loss in GxE PRS: Genotype–environment interaction in polygenic risk score models. Genetic Epidemiology, 48(2), 85-100.
DOI Scopus6 WoS7 Europe PMC8
2024 Amente, L. D., Mills, N. T., Le, T. D., Hyppönen, E., & Lee, S. H. (2024). Unraveling phenotypic variance in metabolic syndrome through multi-omics. Human Genetics, 143(1), 35-47.
DOI Scopus4 WoS4 Europe PMC2
2024 Byrne, S., Boyle, T., Ahmed, M., Lee, S. H., Benyamin, B., & Hyppönen, E. (2024). Response to: Adherence to the World Cancer Research Fund lifestyle recommendations and incidence of prostate cancer in the UK Biobank.. Int J Epidemiol, 53(1), 1-2.
DOI Scopus1 WoS1 Europe PMC1
2024 Mulugeta, A., Lumsden, A., Madakkatel, I., Stacey, D., Lee, S. H., Mäenpää, J., . . . Hypponen, E. (2024). Phenome-wide association study of ovarian cancer identifies common comorbidities and reveals shared genetics with complex diseases and biomarkers. Cancer Medicine, 13(4, article no. e7051), 1-13.
DOI Scopus2 Europe PMC3
2024 Stacey, D., Benyamin, B., Lee, S. H., & Hyppönen, E. (2024). A metabolome-wide Mendelian randomization study identifies dysregulated arachidonic acid synthesis as a potential causal risk factor for bipolar disorder. Biological Psychiatry, 96(6), 455-462.
DOI Scopus13 WoS14 Europe PMC14
2024 Dahl, A., Eilertsen, E. M., Rodriguez Cabello, S. F., Norbom, L. B., Tandberg, A. D., Leonardsen, E., . . . Westlye, L. T. (2024). Genetic and brain similarity independently predict childhood anthropometrics and neighborhood socioeconomic conditions. Developmental Cognitive Neuroscience, 65(101339), 1-11.
DOI Scopus6 Europe PMC5
2024 Kassaw, N. A., Zhou, A., Mulugeta, A., Lee, S. H., Burgess, S., & Hyppönen, E. (2024). Alcohol consumption and the risk of all-cause and cause-specific mortality-a linear and nonlinear Mendelian randomization study. International Journal of Epidemiology, 53(2), 1-8.
DOI Scopus14 Europe PMC9
2024 Momin, M. M., Wray, N. R., & Lee, S. H. (2024). R2ROC: an efficient method of comparing two or more correlated AUC from out-of-sample prediction using polygenic scores. Human Genetics, 143(9-10), 1193-1205.
DOI Scopus3 WoS4 Europe PMC4
2024 Truong, B., Ruan, Y., Haidermota, S., Patel, A., Surakka, I., Hornsby, W., . . . Natarajan, P. (2024). Modification of coronary artery disease clinical risk factors by coronary artery disease polygenic risk score. Med, 5(5), 459-468 e1-e3.
DOI Scopus3 WoS3 Europe PMC6
2024 Eshetie, S., Choi, K. W., Hyppönen, E., Benyamin, B., & Lee, S. H. (2024). Integrative multi-omics analysis to gain new insights into COVID-19. Scientific Reports, 14(1), 14 pages.
DOI Scopus1 WoS2 Europe PMC1
2024 Momin, M. M., Zhou, X., Hyppönen, E., Benyamin, B., & Lee, S. H. (2024). Cross-ancestry genetic architecture and prediction for cholesterol traits. Human Genetics, 143(5), 635-648.
DOI Scopus1 WoS2 Europe PMC3
2023 Eshetie, S., Jullian, P., Benyamin, B., & Lee, S. H. (2023). Host genetic determinants of COVID-19 susceptibility and severity: A systematic review and meta-analysis. Reviews in Medical Virology, 33(5), 12 pages.
DOI Scopus11 WoS10 Europe PMC10
2023 Momin, M. M., Shin, J., Lee, S., Truong, B., Benyamin, B., & Lee, S. H. (2023). A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data. Nature Communications, 14(1), 13 pages.
DOI Scopus12 WoS13 Europe PMC18
2023 Momin, M. M., Lee, S., Wray, N. R., & Lee, S. H. (2023). Significance tests for R² of out-of-sample prediction using polygenic scores. The American Journal of Human Genetics, 110(2), 349-358.
DOI Scopus22 WoS22 Europe PMC31
2023 Jullian Fabres, P., & Lee, S. H. (2023). Phenotypic variance partitioning by transcriptomic gene expression levels and environmental variables for anthropometric traits using GTEx data. Genetic Epidemiology, 47(7), 465-474.
DOI Scopus2 WoS2 Europe PMC1
2023 Ahmed, M., Mäkinen, V. -P., Lumsden, A., Boyle, T., Mulugeta, A., Lee, S. H., . . . Hyppönen, E. (2023). Metabolic profile predicts incident cancer: A large-scale population study in the UK Biobank.. Metabolism: clinical and experimental, 138(155342), 1-9.
DOI Scopus8 WoS8 Europe PMC4
2023 Byrne, S., Boyle, T., Ahmed, M., Lee, S. H., Benyamin, B., & Hyppönen, E. (2023). Lifestyle, genetic risk and incidence of cancer: a prospective cohort study of 13 cancer types.. International journal of epidemiology, 52(3), 817-826.
DOI Scopus67 WoS62 Europe PMC59
2023 Neshat, M., Lee, S., Momin, M. M., Truong, B., van der Werf, J. H. J., & Lee, S. H. (2023). An effective hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation. Frontiers in Genetics, 14(1104906), 1-12.
DOI Scopus8 WoS8 Europe PMC4
2022 Choi, K. W., Wilson, M., Ge, T., Kandola, A., Patel, C. J., Lee, S. H., & Smoller, J. W. (2022). Integrative analysis of genomic and exposomic influences on youth mental health. Journal Of Child Psychology And Psychiatry, 63(10), 1196-1205.
DOI Scopus27 WoS21 Europe PMC28
2022 Blokland, G. A. M., Grove, J., Chen, C. Y., Cotsapas, C., Tobet, S., Handa, R., & Lee, S. H. (2022). Sex-dependent shared and nonshared genetic architecture across mood and psychotic disorders. Biological Psychiatry, 91(1), 102-117.
DOI Scopus82 WoS78 Europe PMC103
2022 Shin, J., Zhou, X., Tan, J. T. M., Hyppönen, E., Benyamin, B., & Lee, S. H. (2022). Lifestyle Modifies the Diabetes-Related Metabolic Risk, Conditional on Individual Genetic Differences. Frontiers in Genetics, 13(759309), 759309-1-759309-10.
DOI Scopus7 WoS7 Europe PMC8
2022 Ahmed, M., Mäkinen, V. -P., Mulugeta, A., Shin, J., Boyle, T., Hyppönen, E., & Lee, S. H. (2022). Considering hormone-sensitive cancers as a single disease in the UK biobank reveals shared aetiology. Communications biology, 5(1, article no. 614), 1-14.
DOI Scopus13 WoS12 Europe PMC12
2022 Gillett, A. C., Jermy, B. S., Lee, S. H., Pain, O., Howard, D. M., Hagenaars, S. P., . . . Lewis, C. M. (2022). Exploring polygenic-environment and residual-environment interactions for depressive symptoms within the UK Biobank. Genetic Epidemiology, 46(5-6), 219-233.
DOI Scopus4 WoS4 Europe PMC5
2022 Gershon, E. S., Lee, S. H., Zhou, X., Sweeney, J. A., Tamminga, C., Pearlson, G. A., . . . Hill, S. K. (2022). An opportunity for primary prevention research in psychotic disorders. Schizophrenia Research, 243, 433-439.
DOI Scopus4 WoS3 Europe PMC3
2021 Zhou, X., & Lee, S. H. (2021). An integrative analysis of genomic and exposomic data for complex traits and phenotypic prediction. Scientific Reports, 11(1, article no. 21495), 1-16.
DOI Scopus15 WoS14 Europe PMC18
2021 Yang, Z., Wu, H., Lee, P. H., Tsetsos, F., Lee, S. H., & Paschou, P. (2021). Investigating Shared Genetic Basis Across Tourette Syndrome and Comorbid Neurodevelopmental Disorders Along the Impulsivity-Compulsivity Spectrum. Biological Psychiatry, 90(5), 317-327.
DOI Scopus69 Europe PMC67
2021 Shin, J., & Lee, S. H. (2021). GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data. Genome biology, 22(1), 1-17.
DOI Scopus22 Europe PMC21
2021 Hess, J. L., Tylee, D. S., Mattheisen, M., Borglum, A. D., Glatt, S. J., & Lee, S. H. (2021). A polygenic resilience score moderates the genetic risk for schizophrenia. Molecular Psychiatry, 26(3), 800-815.
DOI
2021 Zhou, D., Yu, D., Scharf, J. M., Mathews, C. A., McGrath, L., Cook, E., . . . Gamazon, E. R. (2021). Contextualizing genetic risk score for disease screening and rare variant discovery. Nature Communications, 12(1, article no. 4418), 1-14.
DOI Scopus19 WoS17 Europe PMC18
2021 Byrne, S., Boyle, T., Benyamin, B., Lee, S. H., Ahmed, M., & Hypponen, E. (2021). Do associations between a healthy lifestyle and incidence of cancer differ by genetic risk?. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 50(Supplement_1), 40.
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2021 Ni, G., Zeng, J., Revez, J. A., Wang, Y., Zhili, Z., Ge, T., . . . Lee, S. H. (2021). A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts. Biological Psychiatry, 90(9), 611-620.
DOI Scopus134 Europe PMC156
2021 Ahmed, M., Mulugeta, A., Lee, S. H., Mäkinen, V. P., Boyle, T., & Hyppönen, E. (2021). Adiposity and cancer: a Mendelian randomization analysis in the UK biobank. International Journal of Obesity, 45(12), 2657-2665.
DOI Scopus32 WoS27 Europe PMC26
2020 Truong, B., Zhou, X., Shin, J., Li, J., van der Werf, J. H. J., Le, T. D., & Lee, S. H. (2020). Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives. Nature Communications, 11(1), 11 pages.
DOI Scopus23 WoS19 Europe PMC21
2020 Zhou, X., van der Werf, J., Carson-Chahhoud, K., Ni, G., McGrath, J., Hyppönen, E., & Lee, S. H. (2020). Whole-genome approach discovers novel genetic and nongenetic variance components modulated by lifestyle for cardiovascular health. Journal of the American Heart Association, 9(8), 1-42.
DOI Scopus11 WoS11 Europe PMC13
2020 Lam, M., Awasthi, S., Watson, H. J., Goldstein, J., Lee, S. H., & Ripke, S. (2020). RICOPILI: rapid imputation for COnsortias PIpeLIne. Bioinformatics, 36(3), 930-933.
DOI Scopus187 WoS186 Europe PMC253
2020 Kamitaki, N., Sekar, A., Handsaker, R. E., de Rivera, H., McCarroll, S. A., & Lee, S. H. (2020). Complement genes contribute sex-biased vulnerability in diverse disorders. Nature, 582(7813), 577-581.
DOI Scopus182 Europe PMC183
2020 Yu, C., Ni, G., van der Werf, J., & Lee, S. H. (2020). Detecting genotype-population interaction effects by ancestry principal components. Frontiers in Genetics, 11(379), 1-12.
DOI Scopus2 WoS2
2020 Zhou, X., Im, H. K., & Lee, S. H. (2020). CORE GREML for estimating covariance between random effects in linear mixed models for complex trait analyses. Nature Communications, 11(1), 1-11.
DOI Scopus24 WoS22 Europe PMC24
2020 Chung, Y., Lee, S. H., Lee, H. K., Lim, D., van der Werf, J., & Lee, S. H. (2020). THI modulation of genetic and non-genetic variance components for carcass traits in Hanwoo cattle. Frontiers In Genetics, 11(576377), 1-11.
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2019 Mulder, H. A., Lee, S. H., Clark, S., Hayes, B. J., & van der Werf, J. H. J. (2019). The impact of genomic and traditional selection on the contribution of mutational variance to long-term selection response and genetic variance. Genetics, 213(2), 361-378.
DOI Scopus11 Europe PMC11
2019 Ni, G., van der Werf, J., Zhou, X., Hyppönen, E., Wray, N. R., & Lee, S. H. (2019). Genotype-covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model. Nature communications, 10(1, article no. 2239), 1-15.
DOI Scopus43 WoS40 Europe PMC47
2019 Gowane, G. R., Lee, S. H., Clark, S., Moghaddar, N., Al Mamun, H. A., & van der Werf, J. H. J. (2019). Effect of selection and selective genotyping for creation of reference on bias and accuracy of genomic prediction. Journal of animal breeding and genetics, 136(5), 390-407.
DOI Scopus32 Europe PMC25
2019 Al Kalaldeh, M., Gibson, J., Duijvesteijn, N., Daetwyler, H. D., MacLeod, I., Moghaddar, N., . . . van der Werf, J. H. J. (2019). Using imputed whole-genome sequence data to improve the accuracy of genomic prediction for parasite resistance in Australian sheep. Genetics selection evolution, 51(32), 1-13.
DOI Scopus29 Europe PMC23
2019 van Rheenen, W., Peyrot, W. J., Schork, A. J., Lee, S. H., & Wray, N. R. (2019). Genetic correlations of polygenic disease traits: from theory to practice. Nature reviews genetics, 20(10), 567-581.
DOI Scopus251 WoS251 Europe PMC272
2019 Al Kalaldeh, M., Gibson, J., Lee, S. H., Gondro, C., & Van Der Werf, J. H. J. (2019). Detection of genomic regions underlying resistance to gastrointestinal parasites in Australian sheep. Genetics selection evolution, 51(1, article no. 37), 1-18.
DOI Scopus57 Europe PMC41
2019 Ni, G., Amare, A. T., Zhou, X., Mills, N., Gratten, J., & Lee, S. H. (2019). The genetic relationship between female reproductive traits and six psychiatric disorders. Scientific Reports, 9(1), 12041-1-12041-12.
DOI Scopus24 WoS21 Europe PMC21
2019 Huckins, L. M., Dobbyn, A., Ruderfer, D. M., Hoffman, G., Lee, S. H., & Im, H. K. (2019). Gene expression imputation across multiple brain regions provides insights into schizophrenia risk. Nature Genetics, 51(4), 659-674.
DOI Scopus142 WoS139 Europe PMC151
2019 Harold, D., Connolly, S., Riley, B. P., Kendler, K. S., McCarthy, S. E., McCombie, W. R., . . . Lee, S. H. (2019). Population-based identity-by-descent mapping combined with exome sequencing to detect rare risk variants for schizophrenia. American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics, 180(3), 223-231.
DOI WoS4
2018 Ruderfer, D. M., Ripke, S., McQuillin, A., Boocock, J., Stahl, E. A., Pavlides, J. M. W., . . . Kendler, K. S. (2018). Genomic dissection of bipolar disorder and schizophrenia, including 28 subphenotypes. Cell, 173(7), 1705-1715.e16.
DOI Scopus497 WoS538 Europe PMC545
2018 Ni, G., Moser, G., Wray, N. R., & Lee, S. H. (2018). Estimation of genetic correlation via linkage disequilibrium score regression and genomic restricted maximum likelihood. American journal of human genetics, 102(6), 1-10.
DOI Scopus132 WoS123 Europe PMC143
2018 Maier, R. M., Zhu, Z., Lee, S. H., Trzaskowski, M., Ruderfer, D. M., Stahl, E. A., . . . Robinson, M. R. (2018). Improving genetic prediction by leveraging genetic correlations among human diseases and traits. Nature Communications, 9(1), 1-17.
DOI Scopus117 Europe PMC125
2018 Ni, G., Gratten, J., Wray, N. R., & Lee, S. H. (2018). Age at first birth in women is genetically associated with increased risk of schizophrenia. Scientific reports, 8(10168), 1-14.
DOI Scopus15 Europe PMC17
2018 Martin, J., Walters, R. K., Demontis, D., Mattheisen, M., Lee, S. H., & Neale, B. M. (2018). A genetic investigation of sex bias in the prevalence of attention-deficit/hyperactivity disorder. Biological psychiatry, 83(12), 1044-1053.
DOI Scopus139 WoS129 Europe PMC143
2018 Le Blanc, M., Zuber, V., Thompson, W. K., Andreassen, O. A., Frigessi, A., Andreassen, B. K., & Lee, S. H. (2018). A correction for sample overlap in genome-wide association studies in a polygenic pleiotropy-informed framework. BMC Genomics, 19(1, article no. 494), 1-15.
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2018 Zabaneh, D., Krapohl, E., Gaspar, H. A., Curtis, C., Lee, S. H., Patel, H., . . . Breen, G. (2018). A genome-wide association study for extremely high intelligence. Molecular Psychiatry, 23(5), 1226-1232.
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2017 Tropf, F. C., Lee, S. H., Verweij, R. M., Stulp, G., van der Most, P. J., de Vlaming, R., . . . Mills, M. C. (2017). Hidden heritability due to heterogeneity across seven populations. Nature human behaviour, 1(10), 757-765.
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2017 Moss, D. J. H., Pardinas, A. F., Langbehn, D., Lo, K., Lee, S. H., & Tan, L. (2017). Identification of genetic variants associated with Huntington's disease progression: a genome-wide association study. Lancet neurology, 16(9), 701-711.
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2017 Chen, G. B., Lee, S. H., Robinson, M. R., Trzaskowski, M., Zhu, Z. X., Winkler, T. W., . . . Visscher, P. M. (2017). Across-cohort QC analyses of GWAS summary statistics from complex traits. European journal of human genetics, 25(1), 137-146.
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2017 Lee, S. H., Weerasinghe, W. M. S. P., Wray, N. R., Goddard, M. E., & van der Werf, J. H. J. (2017). Using information of relatives in genomic prediction to apply effective stratified medicine. Scientific reports, 7(article no. 42091), 1-13.
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2017 Lee, S. H., Weerasinghe, W. M. S. P., & van der Werf, J. H. J. (2017). Genotype-environment interaction on human cognitive function conditioned on the status of breastfeeding and maternal smoking around birth. Scientific reports, 7(1, article no. 6087), 1-12.
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2017 Marshall, C. R., Howrigan, D. P., Merico, D., Thiruvahindrapuram, B., Lee, S. H., & Sebat, J. (2017). Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nature genetics, 49(1), 27-35.
DOI Scopus784 Europe PMC794
2017 Lee, S. H., Clark, S., & van der Werf, J. H. J. (2017). Estimation of genomic prediction accuracy from reference populations with varying degrees of relationship. PLoS one, 12(12, article no. e0189775), 1-22.
DOI Scopus63 WoS48 Europe PMC53
2017 Chen, G., Lee, S., Montgomery, G., Wray, N., Visscher, P., Gearry, R., . . . Moser, G. (2017). Performance of risk prediction for inflammatory bowel disease based on genotyping platform and genomic risk score method. BMC Medical Genetics, 18(1), 94-1-94-11.
DOI Scopus39 WoS37 Europe PMC28
2017 Power, R., Tansey, K., Buttenschøn, H., Cohen-Woods, S., Bigdeli, T., Hall, L., . . . Lewis, C. (2017). Genome-wide Association for Major Depression Through Age at Onset Stratification: Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium. Biological Psychiatry, 81(4), 325-335.
DOI Scopus181 WoS164 Europe PMC154
2017 McLaughlin, R. L., Schijven, D., Van Rheenen, W., Van Eijk, K. R., O'Brien, M., Kahn, R. S., . . . Lee, S. H. (2017). Genetic correlation between amyotrophic lateral sclerosis and schizophrenia. Nature Communications, 8(14774), 1-12.
DOI Scopus107 Europe PMC113
2016 Franke, B., van Hulzen, K. J. E., Arias-Vasquez, A., Bralten, J., Hoogman, M., Klein, M., . . . Jenkinson, M. (2016). Genetic influences on schizophrenia and subcortical brain volumes: Large-scale proof of concept. Nature Neuroscience, 19(3), 420-431.
DOI Scopus171 Europe PMC170
2016 Chen, G. B., Lee, S. H., Zhu, Z. X., Benyamin, B., & Robinson, M. R. (2016). EigenGWAS: finding loci under selection through genome-wide association studies of eigenvectors in structured populations. Heredity, 117(1), 51-61.
DOI Scopus65 WoS67 Europe PMC70
2016 Lee, S. H., & van der Werf, J. H. J. (2016). MTG2: an efficient algorithm for multivariate linear mixed model analysis based on genomic information. Bioinformatics, 32(9), 1420-1422.
DOI
2016 Mehta, D., Tropf, F. C., Gratten, J., Bakshi, A., Zhu, Z., Bacanu, S. A., . . . Lee, S. H. (2016). Evidence for genetic overlap between schizophrenia and age at first birth in women. JAMA psychiatry, 73(5), 497-505.
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2016 Johnson, E. C., Bjelland, D. W., Howrigan, D. P., Abdellaoui, A., Keller, M. C., & Lee, S. H. (2016). No reliable association between runs of homozygosity and schizophrenia in a well-powered replication study. PLoS Genetics, 12(10, article no. e1006343), 1-20.
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2016 Bigdeli, T. B., Ripke, S., Bacanu, S. A., Lee, S. H., & Fanous, A. H. (2016). Genome-wide association study reveals greater polygenic loading for schizophrenia in cases with a family history of illness. American journal of medical genetics part B: neuropsychiatric genetics, 171(2), 276-289.
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2015 Lee, S. H., Byrne, E. M., Hultman, C. M., Kahler, A., & Wray, N. R. (2015). New data and an old puzzle: the negative association between schizophrenia and rheumatoid arthritis. International journal of epidemiology, 44(5, article no. dyv136), 1706-1721.
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2015 Zhu, Z., Bakshi, A., Vinkhuyzen, A. A. E., Hemani, G., Lee, S. H., Nolte, I. M., . . . Yang, J. (2015). Dominance genetic variation contributes little to the missing heritability for human complex traits. American journal of human kinetics, 96(3), 377-385.
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2015 Vilhjalmsson, B. J., Yang, J., Finucane, H. K., Gusev, A., Lee, S. H., & Price, A. L. (2015). Modeling linkage disequilibrium increases accuracy of polygenic risk scores. American journal of human genetics, 97(4), 576-592.
DOI
2015 Loh, P. R., Bhatia, G., Gusev, A., Finucane, H. K., Bulik Sullivan, B. K., Pollack, S. J., . . . Price, A. L. (2015). Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis. Nature genetics, 47(12), 1385-1392.
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2015 Lee, S. H. (2015). Implications of simplified linkage equilibrium SNP simulation. Proceedings of the National Academy of Sciences of the United States of America, 112(40), 5449.
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2015 Berenos, C., Ellis, P. A., Pilkington, J. G., Lee, S. H., Gratten, J., & Pemberton, J. M. (2015). Heterogeneity of genetic architecture of body size traits in a free-living population. Molecular ecology, 24(8), 1810-1830.
DOI
2015 Moser, G., Lee, S. H., Hayes, B. J., Goddard, M. E., Wray, N. R., & Visscher, P. M. (2015). Simultaneous discovery, estimation and prediction analysis of complex traits using a Bayesian mixture model. PLoS genetics, 11(4, article no. e1004969), 1-22.
DOI
2015 Yang, J., Bakshi, A., Zhu, Z., Hemani, G., Lee, S. H., & Visscher, P. M. (2015). Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index. Nature genetics, 47(10), 1114-1120.
DOI
2015 Bulik Sullivan, B. K., Loh, P. R., Finucane, H. K., Ripke, S., Lee, S. H., & O'Donovan, M. C. (2015). LD score regression distinguishes confounding from polygenicity in genome-wide association studies. Nature genetics, 47(3), 291-295.
DOI Scopus3574 Europe PMC4407
2015 O'Dushlaine, C., Rossin, L., Lee, P. H., Duncan, L., Lee, S. H., & Breen, G. (2015). Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways. Nature neuroscience, 18(2), 199-209.
DOI Scopus617 WoS585 Europe PMC598
2015 Peyrot, W., Lee, S., Milaneschi, Y., Abdellaoui, A., Byrne, E., Esko, T., . . . Maier, W. (2015). The association between lower educational attainment and depression owing to shared genetic effects? Results in ∼25 000 subjects. Molecular Psychiatry, 20(6), 735-743.
DOI Scopus65 WoS61 Europe PMC58
2015 Lu, Y., Cuellar Partida, G., Painter, J. N., Nyholt, D. R., MacGregor, S., & Lee, S. H. (2015). Shared genetics underlying epidemiological association between endometriosis and ovarian cancer. Human molecular genetics, 24(20), 5955-5964.
DOI Scopus67 Europe PMC56
2015 Maier, R., Moser, G., Chen, G. B., Ripke, S., Coryell, W., Potash, J. B., . . . Lee, S. H. (2015). Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder. American journal of human genetics, 96(2), 283-294.
DOI Scopus192 Europe PMC197
2014 Ripke, S., Neale, B. M., Corvin, A., Walters, J. T. R., Farh, K. H., Holmans, P. A., . . . Joa, I. (2014). Biological insights from 108 schizophrenia-associated genetic loci. Nature, 511(7510), 421-427.
DOI Scopus6169 WoS5888 Europe PMC5721
2014 Chen, G. B., Lee, S. H., Brion, M. J. A., Montgomery, G. W., Wray, N. R., Radford Smith, G., & Visscher, P. M. (2014). Estimation and partitioning of (co)heritability of inflammatory bowel disease from GWAS and immunochip data. Human molecular genetics, 23(17), 4710-4720.
DOI WoS97 Europe PMC99
2014 Wray, N. R., Lee, S. H., Mehta, D., Vinkhuyzen, A. A. E., Dudbridge, F., & Middeldorp, C. M. (2014). Research review: polygenic methods and their application to psychiatric traits. Journal of child psychology and psychiatry, 55(10), 1068-1087.
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2014 Gusev, A., Lee, S. H., Trynka, G., Finucane, H. K., & Price, A. L. (2014). Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases. American journal of human genetics, 95(5), 535-552.
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2014 Visscher, P. M., Hemani, G., Vinkhuyzen, A. A. E., Chen, G. B., Lee, S. H., Wray, N. R., . . . Yang, J. (2014). Statistical power to detect genetic (co)variance of complex traits using SNP data in unrelated samples. PLoS genetics, 10(4, e1004269), 1-10.
DOI
2013 Lee, S. H., & Wray, N. R. (2013). Novel genetic analysis for case-control genome-wide association studies: quantification of power and genomic prediction accuracy. PLoS one, 8(8, article no. e71494), 1-7.
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2013 Lee, S. H., Yang, J., Chen, G. B., Ripke, S., Stahl, E. A., Hultman, C. M., . . . Wray, N. R. (2013). Estimation of SNP heritability from dense genotype data. American journal of human genetics, 93(6), 1151-1155.
DOI
2013 Lee, S. H., Harold, D., Nyholt, D. R., Goddard, M. E., Zondervan, K. T., Williams, J., . . . Visscher, P. M. (2013). Estimation and partitioning of polygenic variation captured by common SNPs for Alzheimer's disease, multiple sclerosis and endometriosis. Human molecular genetics, 22(4, article no. dds491), 832-841.
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2013 de Candia, T. R., Lee, S. H., Yang, J., Browning, B. L., Gejman, P. V., Levinson, D. F., . . . Keller, M. C. (2013). Additive genetic variation in schizophrenia risk Is shared by populations of African and European descent. American journal of human genetics, 93(3), 463-470.
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2013 Davis, L. K., Yu, D., Keenan, C. L., Gamazon, E. R., Lee, S. H., & Scharf, J. M. (2013). Partitioning the heritability of Tourette syndrome and obsessive compulsive disorder reveals differences in genetic architecture. PloS genetics, 9(10, article no. e100386), 1-14.
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2013 Yang, L., Neale, B. M., Liu, L., Lee, S. H., Wray, N. R., Ji, N., . . . Wang, Y. (2013). Polygenic transmission and complex neuro developmental network for attention deficit hyperactivity disorder: genome-wide association study of both common and rare variants. American journal of medical genetics part B- neuropsychiatric genetics, 162(5), 419-430.
DOI
2013 Ripke, S., O'Dushlaine, C., Chambert, K., Moran, J. L., Lee, S. H., & Sullivan, P. F. (2013). Genome-wide association analysis identifies 13 new risk loci for schizophrenia. Nature genetics, 45(10), 1150-1159.
DOI WoS1201 Europe PMC1181
2013 Hu, Y., Berndt, S., Gustafsson, S., Ganna, A., Genetic Investigation of ANthropometric Traits (GIANT) Consortium., Hirschhorn, J., . . . Lin, D. (2013). Meta-analysis of gene-level associations for rare variants based on single-variant statistics. American Journal of Human Genetics, 93(2), 236-248.
DOI Scopus53 WoS57 Europe PMC58
2013 Rietveld, C., Medland, S., Derringer, J., Yang, J., Esko, T., Martin, N., . . . de Leeuw, C. (2013). GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science, 340(6139), 1467-1471.
DOI Scopus628 WoS590 Europe PMC510
2013 Berndt, S., Gustafsson, S., Mägi, R., Ganna, A., Wheeler, E., Feitosa, M., . . . Wood, A. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics, 45(5), 501-512.
DOI Scopus529 WoS511 Europe PMC494
2013 Lee, S. H., Ripke, S., Neale, B. M., Faraone, S. V., & Wray, N. R. (2013). Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nature genetics, 45(9), 984-994.
DOI Scopus1834 WoS1725 Europe PMC1621
2012 Lee, S. H., van der Werf, J., Lee, S. H., Lim, D. J., Park, E. W., Gondro, C., . . . Thompson, J. (2012). Genome wide QTL mapping to identify candidate genes for carcass traits in Hanwoo (Korean Cattle). Genes & genomics, 34(1), 43-49.
DOI
2012 Lee, S. H., Goddard, M. E., Wray, N. R., & Visscher, P. M. (2012). A better coefficient of determination for genetic profile analysis. Genetic epidemiology, 36(3), 214-224.
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2012 Wray, N. R., Lee, S. H., & Kendler, K. S. (2012). Impact of diagnostic misclassification on estimation of genetic correlations using genome-wide genotypes. European journal of human genetics, 20(6), 668-674.
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2012 Calvin, C. M., Deary, I. J., Webbink, D., Smith, P., Fernandes, C., Lee, S. H., . . . Visscher, P. M. (2012). Multivariate genetic analyses of cognition and academic achievement from two population samples of 174,000 and 166,000 school children. Behavior genetics, 42(5), 699-710.
DOI
2012 Lee, S. H., Yang, J., Goddard, M. E., Visscher, P. M., & Wray, N. R. (2012). Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood. Bioinformatics, 28(19, article no. bts474), 2540-2542.
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2012 Keller, M. C., Simonson, M. A., Ripke, S., Neale, B. M., Gejman, P. V., Howrigan, D. P., . . . Sullivan, P. F. (2012). Runs of homozygosity implicate autozygosity as a schizophrenia risk factor. PLoS genetics, 8(4), 425-435.
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2012 Lee, S. H., DeCandia, T. R., Ripke, S., Yang, J., Sullivan, P. F., Goddard, M. E., . . . Wray, N. R. (2012). Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs. Nature genetics, 44(3), 247-250.
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2012 Vinkhuyzen, A. A. E., Pedersen, N. L., Yang, J., Lee, S. H., Magnusson, P. K. E., Iacono, W. G., . . . Wray, N. R. (2012). Common SNPs explain some of the variation in the personality dimensions of neuroticism and extraversion. Translational psychiatry, 2(article no. 201227), 1-7.
DOI
2011 Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011). GCTA: a tool for genome-wide complex trait analysis. American journal of human genetics, 88(1), 76-82.
DOI
2011 Lee, S. H., Wray, N. R., Goddard, M. E., & Visscher, P. M. (2011). Estimating missing heritability for disease from genome-wide association studies. American journal of human genetics, 88(3), 294-305.
DOI
2011 Painter, J. N., Anderson, C. A., Nyholt, D. R., Macgregor, S., Lee, S. H., & Zondervan, K. T. (2011). Genome-wide association study identifies a locus at 7p15.2 associated with endometriosis. Nature genetics, 43(1), 51-54.
DOI
2011 Martin, N. W., Medland, S. E., Verweij, K. J. H., Lee, S. H., Nyholt, D. R., Madden, P. A., . . . Martin, N. G. (2011). Educational attainment: a genome wide association study in 9538 Australians. PLoS One, 6(6 article no. 20128), 1-8.
DOI
2011 Lee, S. H., van der Werf, J. H. J., Kim, N. K., Lee, S. H., Gondro, C., Park, E. W., . . . Thompson, J. M. (2011). QTL and gene expression analyses identify genes affecting carcass weight and marbling on BTA14 in Hanwoo (Korean Cattle). Mammalian genome, 22(9-10), 589-601.
DOI
2010 Lee, S. H., Nyholt, D. R., Macgregor, S., Henders, A. K., Zondervan, K. T., Montgomery, G. W., & Visscher, P. M. (2010). A simple and fast two-locus quality control test to detect false positives due to batch effects in genome-wide association studies. Genetic epidemiology, 34(8), 854-862.
DOI
2010 Lee, S. H., Goddard, M. E., Visscher, P. M., & van der Werf, J. H. J. (2010). Using the realized relationship matrix to disentangle confounding factors for the estimation of genetic variance components of complex traits. Genetics selection evolution, 42(1, article no. 22), 1-14.
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2010 Lee, S. H., van der Werf, J. H. J., Lee, S. H., Park, E. W., Oh, S. J., Gibson, J. P., & Thompson, J. M. (2010). Genetic polymorphisms of the bovine fatty acid binding protein 4 gene are significantly associated with marbling and carcass weight in Hanwoo (Korean Cattle). Animal genetics, 41(4), 442-444.
DOI
2010 Idaghdour, Y., Czika, W., Shianna, K. V., Lee, S. H., Visscher, P. M., Martin, H. C., . . . Gibson, G. (2010). Geographical genomics of human leukocyte gene expression variation in southern Morocco. Nature genetics, 42(1), 62-67.
DOI
2009 Marshall, K., Maddox, J. F., Lee, S. H., Zhang, Y., Kahn, L., Graser, H. U., . . . van der Werf, J. H. J. (2009). Genetic mapping of quantitative trait loci for resistance to Haemonchus contortus in sheep. Animal genetics, 40(3), 262-272.
DOI Europe PMC44
2008 Lee, S. H., van der Werf, J. H. J., Hayes, B. J., Goddard, M. E., & Visscher, P. M. (2008). Predicting unobserved phenotypes for complex traits from Whole-Genome SNP Data. PLoS genetics, 4(10, article no. e1000231), 1-11.
DOI
2008 Lee, S. H., Cho, Y. M., Lee, S. H., Kim, B. S., Kim, N. K., Choy, Y. H., . . . Park, E. W. (2008). Identification of marbling-related candidate genes in M-longissimus dorsi of high- and low marbled Hanwoo (Korean Native Cattle) steers. BMB reports, 41(12), 846-851.
DOI
2008 Lee, S. H., van der Werf, J. H. J., & Kinghorn, B. P. (2008). Using an evolutionary algorithm and parallel computing for haplotyping in a general complex pedigree with multiple marker loci. BMC bioinformatics, 9(article no. 189), 1-10.
DOI
2008 Lee, S. H., & van der Werf, J. H. J. (2008). Simultaneous fine mapping of closely linked epistatic quantitative trait loci using combined linkage disequilibrium and linkage with a general pedigree. Genetics selection evolution, 40(3), 265-278.
DOI

  • Assessing the feasibility and laying the groundwork for applying the ‘recall by genotype’ design in MS research, Multiple Sclerosis Australia, 01/08/2025 - 31/07/2026

  • Predicting and Preventing Ovarian Cancer: a machine learning approach, MRFF- 2020 PHCRI - Primary Health Care Research, 01/06/2021 - 31/08/2025

  • Whole-genome multivariate reaction norm model for complex traits, ARC - Discovery Projects, 17/06/2019 - 16/06/2024

  • Multivariate whole genome estimation and prediction analysis of genomics data applied to psychiatric disorders, NHMRC - Project Grant, 04/09/2017 - 31/12/2019

  • Advanced whole-genome approaches for causative variant detection and individual risk prediction of complex traits in human populations., NHMRC - Project Grant, 04/09/2017 - 31/12/2018

Date Institution Department Organisation Type Country
2022 - 2024 Rural Development Administration Rural Development Administration Scientific research Korea, Republic of

Date Role Editorial Board Name Institution Country
2023 - ongoing Associate Editor Animals MDPI Switzerland
2019 - ongoing Associate Editor Frontiers in Genetics Frontiers Media Switzerland

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