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
2026 Boomsma, A., Doyle, C., Sai, N., Rogers, M. -L., Lee, S. H., & Benyamin, B. (2026). The differences in sex ratio between sporadic and familial amyotrophic lateral sclerosis: a systematic review. Journal of Neurology, 273(2), 12 pages.
DOI Scopus1
2026 Momin, M. M., Zhou, X., Ahmed, M., Hypponen, E., Benyamin, B., & Lee, S. H. (2026). Cross-Ancestry Polygenic Prediction: Comparing Methods and Assessing Transferability Across Traits. Genetic Epidemiology, 50(1), e70029-1-e70029-13.
DOI Europe PMC1
2026 Assefa Kassaw, N., Zhou, A., Stacey, D., Mulugeta, A., Lee, S. H., Burgess, S., & Hyppӧnen, E. (2026). Phenome-wide study on alcohol consumption provides genetic evidence for a causal association with multiple diseases and biomarkers. Nutrition Metabolism and Cardiovascular Diseases, 104624.
DOI
2026 Fentaw, Z., Truong, B., Jayasinghe, D., Vedova, C. D., Hemani, G., Benyamin, B., . . . Lee, S. H. (2026). Leveraging polygenic risk scores to infer causal directions in genotype-by-environment interactions between complex traits. Human Genetics, 145(1), 19-1-19-16.
DOI
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 Scopus3 WoS3 Europe PMC3
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), e1013725-1-e1013725-32.
DOI
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 Scopus5 WoS4 Europe PMC2
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 Scopus2 WoS2 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 WoS2 Europe PMC1
2025 Pinero, S., Li, X., Zhang, J., Winter, M., Lee, S. H., Nguyen, T., . . . Le, T. D. (2025). Omics-based computational approaches for biomarker identification, prediction, and treatment of Long COVID. Critical Reviews in Clinical Laboratory Sciences, 1-27.
DOI Scopus1 WoS1
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 Scopus5 WoS6 Europe PMC2
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 Scopus14 WoS15 Europe PMC23
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 Scopus11 WoS11 Europe PMC12
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 Scopus21 WoS22 Europe PMC20
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 Scopus4 WoS4 Europe PMC3
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 Scopus10 WoS8 Europe PMC5
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.
DOI
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 Scopus4 WoS4 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 Scopus42 WoS41 Europe PMC80
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 WoS5 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 Scopus20 WoS21 Europe PMC20
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 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 Scopus4 WoS3 Europe PMC2
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 Scopus3 WoS4 Europe PMC5
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 Scopus8 WoS7 Europe PMC9
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 Scopus15 WoS16 Europe PMC21
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 Scopus25 WoS24 Europe PMC38
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 PMC2
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 Scopus9 WoS9 Europe PMC6
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 Scopus77 WoS73 Europe PMC63
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 Scopus9 WoS9 Europe PMC4
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 Scopus14 WoS14 Europe PMC14
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 Scopus30 WoS25 Europe PMC30
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 Scopus90 WoS85 Europe PMC114
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 Scopus5 WoS5 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 Scopus19 WoS17 Europe PMC20
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 Scopus76 WoS63 Europe PMC74
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 Scopus26 WoS25 Europe PMC24
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 Scopus49 Europe PMC48
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 Scopus138 Europe PMC164
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 Scopus34 WoS29 Europe PMC27
2021 Ahmed, M., Mäkinen, V. -P., Mulugeta, A., Shin, J., Boyle, T., Hypponen, E., & Lee, S. H. (2021). Heritability And Genetic Correlations For Hormone-Sensitive Cancers In The UK Biobank: A Molecular Evidence of Shared Aetiology.
DOI
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.
DOI
2021 Byrne, S., Boyle, T., Ahmed, M., Lee, S. H., Benyamin, B., & Hyppönen, E. (2021). Healthy lifestyle, genetic risk, and incidence of cancer: A prospective cohort study of 13 cancer types.
DOI
2021 Lee, H., Metz, A., Mcdiarmid, A., Palmos, A., Lee, S. H., Curtis, C. J., . . . Thuret, S. (2021). The effects of genotype on inflammatory response in hippocampal progenitor cells: A computational approach. BRAIN BEHAVIOR & IMMUNITY-HEALTH, 15, 16 pages.
DOI WoS2
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 Scopus21 WoS19 Europe PMC20
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 Scopus193 Europe PMC198
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 Scopus24 WoS20 Europe PMC23
2020 Shin, J., Zhou, X., Tan, J., Hyppönen, E., Benyamin, B., & Lee, H. (2020). Lifestyle modifies the diabetes-related metabolic risk, conditional on individual genetic differences.
DOI
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 Scopus199 WoS197 Europe PMC282
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 Scopus25 WoS23 Europe PMC26
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.
DOI
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 Europe PMC2
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 WoS11 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 Scopus45 WoS42 Europe PMC51
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 WoS30 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 WoS32 Europe PMC26
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 Scopus27 WoS24 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 Scopus146 WoS142 Europe PMC163
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 Scopus4 WoS4 Europe PMC4
2019 Huckins, L. M., Dobbyn, A., Ruderfer, D. M., Hoffman, G., Wang, W., Pardiñas, A. F., . . . Eriksson, J. (2019). Publisher Correction: Gene expression imputation across multiple brain regions provides insights into schizophrenia risk (Nature Genetics, (2019), 51, 4, (659-674), 10.1038/s41588-019-0364-4). Nature Genetics, 51(6), 1068.
DOI Scopus3 Europe PMC2
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 Scopus259 WoS260 Europe PMC282
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 Scopus62 WoS53 Europe PMC41
2019 Dahoun, T., Nour, M. M., Adams, R. A., Trossbach, S., Lee, S. H., Patel, H., . . . Howes, O. D. (2019). Disrupted-in-schizophrenia 1 functional polymorphisms and D<sub>2</sub>/D<sub>3</sub> receptor availability: A [<SUP>11</SUP>C]-(+)-PHNO imaging study. GENES BRAIN AND BEHAVIOR, 18(8), 10 pages.
DOI WoS2
2019 Duarte, R. R. R., Bechtel, N. D., Cotel, M. -C., Lee, S. H., Selvackadunco, S., Watson, I. A., . . . Srivastava, D. P. (2019). The Psychiatric Risk Gene <i>NT5C2</i> Regulates Adenosine Monophosphate-Activated Protein Kinase Signaling and Protein Translation in Human Neural Progenitor Cells. BIOLOGICAL PSYCHIATRY, 86(2), 120-130.
DOI WoS31
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.
DOI Scopus31 Europe PMC40
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 Scopus17 WoS19 Europe PMC18
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 Scopus138 WoS132 Europe PMC153
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 Scopus119 WoS109 Europe PMC131
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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.
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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 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 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.
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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.
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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.
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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.
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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 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.
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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 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 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.
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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.
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2015 Locke, A., Kahali, B., Berndt, S., Justice, A., Pers, T., Day, F., . . . Dimitriou, M. (2015). Genetic studies of body mass index yield new insights for obesity biology. Nature, 518(7538), 197-206.
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2015 Shungin, D., Winkler, T. W., Croteau-Chonka, D. C., Ferreira, T., Locke, A. E., Mägi, R., . . . Zhang, W. (2015). New genetic loci link adipose and insulin biology to body fat distribution. Nature, 518(7538), 187-197.
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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.
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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.
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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.
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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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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 Strucken, E. M., Gudex, B., Ferdosi, M. H., Lee, H. K., Song, K. D., Gibson, J. P., . . . Gondro, C. (2014). Performance of different SNP panels for parentage testing in two East Asian cattle breeds. ANIMAL GENETICS, 45(4), 572-575.
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2014 de Zeeuw, E., van Beijsterveldt, C., Glasner, T., Bartels, M., Ehli, E., Davies, G., . . . Joshi, P. (2014). Polygenic scores associated with educational attainment in adults predict educational achievement and ADHD symptoms in children. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 165(6), 510-520.
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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.
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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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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 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 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.
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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.
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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.
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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.
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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.
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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.
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2013 Lee, S. H., & Wray, N. R. (2013). Erratum: Novel genetic analysis for case-control genome-wide association studies: Quantification of power and genomic prediction accuracy (PLoS ONE (2013) 8 (8)). Plos One, 8(8).
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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.
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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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2012 Lee, S. H., Decandia, T. R., Ripke, S., Yang, J., Sullivan, P. F., Goddard, M. E., . . . Wray, N. R. (2012). Erratum: Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs (Nature Genetics (2012) 44 (247-250)). Nature Genetics, 44(7), 831.
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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). Erratum: Common SNPs explain some of the variation in the personality dimensions of neuroticism and extraversion (Translational Psychiatry (2012) 2 (e102) DOI:10.1038/tp.2012.27). Translational Psychiatry, 2(5), 1 page.
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2012 Maharani, D., Jung, Y., Jung, W. Y., Jo, C., Ryoo, S. H., Lee, S. H., . . . Lee, J. H. (2012). Association of five candidate genes with fatty acid composition in Korean cattle. MOLECULAR BIOLOGY REPORTS, 39(5), 6113-6121.
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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.
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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 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 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 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.
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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.
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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.
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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.
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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.
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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.
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2011 Goddard, M. E., Lee, H., Yang, J., Wray, N. R., & Visscher, P. M. (2011). Population Structure Can Inflate SNP-Based Heritability Estimates Response. AMERICAN JOURNAL OF HUMAN GENETICS, 89(1), 193-195.
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2011 Painter, J. N., Anderson, C. A., Nyholt, D. R., MacGregor, S., Lin, J., Lee, S. H., . . . Zondervan, K. T. (2011). Genome-wide association study identifies a locus at 7p15.2 associated with endometriosis. Obstetrical and Gynecological Survey, 66(4), 214-216.
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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.
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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.
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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.
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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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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.
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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.
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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.
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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
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 : GSE, 40(3), 265-278.
DOI Europe PMC2
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 WoS3
2007 Kijas, J. W., McCulloch, R., Edwards, J. E. H., Oddy, V. H., Lee, S. H., & van der Werf, J. (2007). Evidence for multiple alleles effecting muscling and fatness at the <i>Ovine</i> GDF8 locus. BMC GENETICS, 8(1), 11 pages.
DOI WoS97 Europe PMC55
2007 van der Werf, J. H. J., Marshall, K., & Lee, S. (2007). Methods and experimental designs for detection of QTL in sheep and goats. SMALL RUMINANT RESEARCH, 70(1), 21-31.
DOI WoS23
2007 Lee, S. H., & van der Werf, J. H. J. (2007). Fine mapping of multiple interacting quantitative trait loci using combined linkage disequilibrium and linkage information.. Journal of Zhejiang University Science B, 8(11), 787-791.
DOI Scopus1
2006 Lee, S. H., & van der Werf, J. H. J. (2006). An efficient variance component approach implementing an average information REML suitable for combined LD and linkage mapping with a general complex pedigree.. Genetics, selection, evolution : GSE, 38(1), 25-43.
DOI Europe PMC49
2006 Lee, S. H., & Van der Werf, J. H. J. (2006). Using dominance relationship coefficients based on linkage disequilibrium and linkage with a general complex pedigree to increase mapping resolution. GENETICS, 174(2), 1009-1016.
DOI WoS17 Europe PMC17
2006 Lee, S. H., & Van der Werf, J. H. J. (2006). Simultaneous fine mapping of multiple closely linked quantitative trait loci using combined linkage disequilibrium and linkage with a general pedigree. GENETICS, 173(4), 2329-2337.
DOI WoS13 Europe PMC12
2006 Lee, S. H., Park, E. W., Cho, Y. M., Lee, J. W., Kim, H. Y., Lee, J. H., . . . Yoon, D. H. (2006). Confirming single nucleotide polymorphisms from expressed sequence tag datasets derived from three cattle cDNA libraries. JOURNAL OF BIOCHEMISTRY AND MOLECULAR BIOLOGY, 39(2), 183-188.
WoS10
2006 Lee, S. H., & van der Werf, J. H. J. (2006). An efficient variance component approach implementing an average information REML suitable for combined LD and linkage mapping with a general complex pedigree. GENETICS SELECTION EVOLUTION, 38(1), 25-43.
DOI WoS54
2005 Lee, S. H., Van der Werf, J. H. J., & Tier, B. (2005). Combining the meiosis Gibbs sampler with the random walk approach for linkage and association studies with a general complex pedigree and multimarker loci. GENETICS, 171(4), 2063-2072.
DOI WoS10 Europe PMC8
2005 Lee, S. H., & Van der Werf, J. H. J. (2005). The role of pedigree information in combined linkage disequilibrium and linkage mapping of quantitative trait loci in a general complex pedigree. GENETICS, 169(1), 455-466.
DOI WoS16 Europe PMC13
2004 Lee, S. H., & van der Werf, J. H. J. (2004). The efficiency of designs for fine-mapping of quantitative trait loci using combined linkage disequilibrium and linkage. GENETICS SELECTION EVOLUTION, 36(2), 145-161.
DOI WoS25
2004 Lee, S. H., & van der Werf, J. H. J. (2004). The efficiency of designs for fine-mapping of quantitative trait loci using combined linkage disequilibrium and linkage.. Genetics, selection, evolution : GSE, 36(2), 145-161.
DOI Europe PMC16

Year Citation
2022 Gillett, A. C., Jermy, B. S., Lee, S., 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. In Human Heredity Vol. VOL (pp. 11-12). Switzerland: S Karger.
2015 Davis, L. K., Lee, S. H., Gamazon, E. R., Im, H. -K., Yu, D., Williams, S., . . . Cox, N. J. (2015). Characterizing an inverse axis between orthogonal sources of genetic risk. In GENETIC EPIDEMIOLOGY Vol. 39 (pp. 542-543). MD, Baltimore: WILEY-BLACKWELL.
2012 de Candia, T., Lee, H., Yang, J., Browning, B., Gejman, P., Levinson, D., . . . Keller, M. (2012). Additive genetic variation in risk to schizophrenia across African American and European American populations. In BEHAVIOR GENETICS Vol. 42 (pp. 928). SCOTLAND, Edinburgh: SPRINGER.
2011 Lee, S. H., Younkin, T. R., Leeson, M. J., Chandhok, M., Zhang, G., Magana, J., . . . Carson, S. L. (2011). EUVL Dark-field Exposure Impact on CDs using Thick and Thin Absorber Masks. In B. M. LaFontaine, & P. P. Naulleau (Eds.), EXTREME ULTRAVIOLET (EUV) LITHOGRAPHY II Vol. 7969 (pp. 11 pages). CA, San Jose: SPIE-INT SOC OPTICAL ENGINEERING.
DOI WoS3
2011 Mohamed, A. Z., Lee, S. H., & Hsu, H. Y. (2011). Autonomous mobile robot system concept based on PSO path planner and vSLAM. In Proceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011 Vol. 4 (pp. 92-97). US: IEEE.
DOI Scopus10
2010 Zondervan, K. T., Painter, J. N., Anderson, C. A., Nyholt, D. R., Macgregor, S., Lee, S. H., . . . Montgomery, G. W. (2010). Genome-wide Association Study of Endometriosis Shows Differential Etiology by Stage and Identifies a Locus at 7p15.2 Associated with the Development of Moderate-severe Disease. In GENETIC EPIDEMIOLOGY Vol. 34 (pp. 976-977). MA, Boston: WILEY-BLACKWELL.
2007 Lee, S. H., Kim, P. K., Moon, W., & Lim, G. (2007). Fabrication and characterization of 3-Dimensional MOS transistor tip integrated micro cantilever. In MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS Vol. 13 (pp. 579-587). SOUTH KOREA, Gyeongju: SPRINGER.
DOI WoS8
2007 Venables, R. D., Goldstein, M., Engelhaupt, D., Lee, S. H., & Panning, E. M. (2007). Low cost EUV collector development - design, process and fabrication. In M. J. Lercel (Ed.), EMERGING LITHOGRAPHIC TECHNOLOGIES XI, PTS 1 AND 2 Vol. 6517 (pp. 11 pages). CA, San Jose: SPIE-INT SOC OPTICAL ENGINEERING.
DOI

Year Citation
2026 Veltman, L. J., Lee, S. H., Benyamin, B., Cohen-Woods, S., Hyppönen, E., & Stacey, D. (2026). Genetic architecture of the personality meta-traits – stability and plasticity – and their overlap with psychopathology.
DOI
2025 Piñero, S., Li, X., Liu, L., Li, J., Lee, S. H., Winter, M., . . . Le, T. D. (2025). TACO: TabPFN Augmented Causal Outcomes for Early Detection of Long COVID.
DOI
2025 Pinero, S., Li, X., Zhang, J., Winter, M., Lee, S. H., Nguyen, T., . . . Le, T. D. (2025). Omics-Based Computational Approaches for Biomarker Identification, Prediction, and Treatment of Long COVID.
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.
DOI
2024 Stacey, D., Suppiah, V., Benyamin, B., Lee, H., & Hyppönen, E. (2024). In-silico functional analyses identify<i>TMPRSS15</i>-mediated intestinal absorption of lithium as a modulator of lithium response in bipolar disorder.
DOI
2024 Stacey, D., Benyamin, B., Lee, H., & Hyppönen, E. (2024). A metabolome-wide Mendelian randomization study identifies dysregulated arachidonic acid synthesis as a potential causal risk factor for bipolar disorder.
DOI
2024 Stacey, D., Gaziano, L., Eldi, P., Toben, C., Benyamin, B., Lee, H., & Hyppönen, E. (2024). 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.
DOI
2024 Amente, L. D., Mills, N., Le, T. D., Hyppönen, E., & Lee, H. (2024). A latent outcome variable approach for Mendelian randomization using the expectation maximization algorithm.
DOI
2023 Momin, M. M., Zhou, X., Hyppönen, E., Benyamin, B., & Lee, H. (2023). Cross-ancestry genetic architecture and prediction for cholesterol traits.
DOI
2023 Jayasinghe, D., Momin, M. M., Beckmann, K., Hypponen, E., Benyamin, B., & Lee, H. (2023). GxE PRS: Genotype-environment interaction in polygenic risk score models for quantitative and binary traits.
DOI Europe PMC1
2022 Momin, M. M., Lee, S., Wray, N., & Lee, H. (2022). Significance tests for <i>R</i><sup>2</sup> of out-of-sample prediction using polygenic scores.
DOI
2021 Momin, M. M., Shin, J., Lee, S., Truong, B., Benyamin, B., & Lee, H. (2021). A novel method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data.
DOI
2021 Gillett, A., Jermy, B., Lee, H., Pain, O., Howard, D., Hagenaars, S., . . . Lewis, C. (2021). Exploring polygenic-environment and residual-environment interactions for depressive symptoms within the UK Biobank.
DOI Europe PMC1
2020 Zhou, X., & Lee, H. (2020). An integrative analysis of genomic and exposomic data for complex traits and phenotypic prediction.
DOI Europe PMC1
2020 Shin, J., & Lee, H. (2020). GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data.
DOI
2019 Yang, Z., Wu, H., Lee, P., Tsetsos, F., Davis, L., Yu, D., . . . Paschou, P. (2019). Cross-disorder GWAS meta-analysis for Attention Deficit/Hyperactivity Disorder, Autism Spectrum Disorder, Obsessive Compulsive Disorder, and Tourette Syndrome.
DOI Europe PMC1
2019 Zhou, X., Im, H. K., & Lee, H. (2019). CORE GREML: Estimating covariance between random effects in linear mixed models for genomic analyses of complex traits.
DOI
2019 Yu, C., Ni, G., van der Werf, J., & Lee, H. (2019). Detecting genotype-population interaction effects by ancestry principal components.
DOI
2019 Zhou, X., van der Werf, J., Carson-Chahhoud, K., Ni, G., McGrath, J., Hyppönen, E., & Lee, H. (2019). A Whole-Genome Approach Discovers Novel Genetic and Non-Genetic Variance Components Modulated by Lifestyle for Cardiovascular Health.
DOI
2018 Ni, G., van der Werf, J., Zhou, X., Hyppönen, E., Wray, N., & Lee, H. (2018). Genotype-covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model.
DOI Europe PMC1
2018 Gowane, G. R., Lee, S. H., Clark, S., Moghaddar, N., Al-Mamun, H., & van der Werf, J. (2018). Effect of selection on bias and accuracy in genomic prediction of breeding values.
DOI
2017 Ni, G., Moser, G., Schizophrenia Working Group of the Psychiatric Genomics Consortium., Wray, N., & Lee, H. (2017). Estimation of genetic correlation using linkage disequilibrium score regression and genomic restricted maximum likelihood.
DOI Europe PMC3
2017 Martin, J., Walters, R. K., Demontis, D., Mattheisen, M., Lee, S. H., Robinson, E., . . . Neale, B. M. (2017). A genetic investigation of sex bias in the prevalence of attention deficit hyperactivity disorder.
DOI
2017 Huckins, L., Dobbyn, A., Ruderfer, D., Hoffman, G., Wang, W., Pardinas, A., . . . Stahl, E. (2017). Gene expression imputation across multiple brain regions reveals schizophrenia risk throughout development.
DOI Europe PMC1
2017 Ni, G., Gratten, J., Schizophrenia Working Group of the Psychiatric Genomics Consortium., Wray, N., & Hong Lee, S. (2017). Age at first birth in women is genetically associated with increased risk of schizophrenia.
DOI
2017 Ruderfer, D., Ripke, S., McQuillin, A., Boocock, J., Stahl, E., Pavlides, J. W., . . . Kh, A. (2017). Genomic dissection of bipolar disorder and schizophrenia including 28 subphenotypes.
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 Role Research Topic Program Degree Type Student Load Student Name
2026 Principal Supervisor Enhancing Polygenic Risk Scores for Disease Risk Prediction in Clinical Applications - Doctorate Full Time Mr Shahidul Islam
2026 Principal Supervisor Advancing Polygenic Risk Scores for Clinical Risk Prediction: Integrating Machine Learning, Diverse Populations, and Environmental Data - Doctorate Full Time Mrs Yasaman Shokri
2025 Co-Supervisor Developing AI models for identifying the causes of Long COVID - Doctorate Full Time Mr Xin Liu
2024 Co-Supervisor Investigating the shared genetic architecture of the five factor model personality traits and their relationship to psychopathology - Doctorate Full Time Mr Liam Veltman
2023 Principal Supervisor A novel statistical approach to tackle the current methodological problems associated with genotype-by-environment interactions - Doctorate Full Time Mr Zinabu Werashe
2023 Co-Supervisor Improving genetic prediction of ovarian cancer risk - Doctorate Full Time Mr Melaku Anagaw
2022 Co-Supervisor Application of statistical genomic methods to tackle heterogeneity in psychiatric diseases - Doctorate Full Time Miss Caitlin Doyle
2022 Co-Supervisor Dissecting the genetic and environmental factors affecting stunting  - Doctorate Full Time Mr Reta Yimer
2022 Co-Supervisor class="MsoNormal">Sex differences in amyotrophic lateral sclerosis - Master Part Time Ms Aafke Boomsma
2022 Principal Supervisor Novel statistical genomics methods for disentangling genetic architecture and causal pathways in cardiometabolic traits - Doctorate Full Time Lamessa Amente
2022 Principal Supervisor Novel statistical analyses to reveal latent genetic architecture and to increase genomic prediction accuracy for complex traits and diseases - Doctorate Full Time Dovini Jayasinghe
2022 Co-Supervisor Computational methods for finding causal biomarkers and treatments for COVID-19 - Doctorate Full Time Ms Sindy Pinero
2022 Co-Supervisor Computational methods for finding causal biomarkers and treatments for COVID-19 - Doctorate Full Time Ms Sindy Pinero

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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