Search Results - "Lee, S Hong"

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  1. 1

    Genetic correlations of polygenic disease traits: from theory to practice by van Rheenen, Wouter, Peyrot, Wouter J., Schork, Andrew J., Lee, S. Hong, Wray, Naomi R.

    Published in Nature reviews. Genetics (01-10-2019)
    “…The genetic correlation describes the genetic relationship between two traits and can contribute to a better understanding of the shared biological pathways…”
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    An integrative analysis of genomic and exposomic data for complex traits and phenotypic prediction by Zhou, Xuan, Lee, S. Hong

    Published in Scientific reports (02-11-2021)
    “…Complementary to the genome, the concept of exposome has been proposed to capture the totality of human environmental exposures. While there has been some…”
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    GCTA: A Tool for Genome-wide Complex Trait Analysis by Yang, Jian, Lee, S. Hong, Goddard, Michael E., Visscher, Peter M.

    Published in American journal of human genetics (07-01-2011)
    “…For most human complex diseases and traits, SNPs identified by genome-wide association studies (GWAS) explain only a small fraction of the heritability. Here…”
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  4. 4

    CORE GREML for estimating covariance between random effects in linear mixed models for complex trait analyses by Zhou, Xuan, Im, Hae Kyung, Lee, S. Hong

    Published in Nature communications (21-08-2020)
    “…As a key variance partitioning tool, linear mixed models (LMMs) using genome-based restricted maximum likelihood (GREML) allow both fixed and random effects…”
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    Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs by Lee, S Hong, DeCandia, Teresa R, Ripke, Stephan, Yang, Jian, Sullivan, Patrick F, Goddard, Michael E, Keller, Matthew C, Visscher, Peter M, Wray, Naomi R

    Published in Nature genetics (01-03-2012)
    “…Naomi Wray, Peter Visscher and colleagues report analyses of the common variation that contributes to schizophrenia risk within three independent case-control…”
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    Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model by Ni, Guiyan, van der Werf, Julius, Zhou, Xuan, Hyppönen, Elina, Wray, Naomi R., Lee, S. Hong

    Published in Nature communications (20-05-2019)
    “…The genomics era has brought useful tools to dissect the genetic architecture of complex traits. Here we propose a multivariate reaction norm model (MRNM) to…”
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    Host genetic determinants of COVID-19 susceptibility and severity: A systematic review and meta-analysis by Eshetie, Setegn, Jullian, Pastor, Benyamin, Beben, Lee, S Hong

    Published in Reviews in medical virology (01-09-2023)
    “…Genome-wide association studies (GWASs) have identified single nucleotide polymorphisms (SNPs) associated with susceptibility and severity of coronavirus…”
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  9. 9

    Phenotypic variance partitioning by transcriptomic gene expression levels and environmental variables for anthropometric traits using GTEx data by Jullian Fabres, Pastor, Lee, S Hong

    Published in Genetic epidemiology (01-10-2023)
    “…Phenotypic variation in human is the results of genetic variation and environmental influences. Understanding the contribution of genetic and environmental…”
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  10. 10

    Adiposity and cancer: a Mendelian randomization analysis in the UK biobank by Ahmed, Muktar, Mulugeta, Anwar, Lee, S. Hong, Mäkinen, Ville-Petteri, Boyle, Terry, Hyppönen, Elina

    Published in International Journal of Obesity (01-12-2021)
    “…Background Observational and Mendelian randomization (MR) studies link obesity and cancer, but it remains unclear whether these depend upon related metabolic…”
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    Integrative analysis of genomic and exposomic influences on youth mental health by Choi, Karmel W., Wilson, Marina, Ge, Tian, Kandola, Aaron, Patel, Chirag J., Lee, S. Hong, Smoller, Jordan W.

    Published in Journal of child psychology and psychiatry (01-10-2022)
    “…Background Understanding complex influences on mental health problems in young people is needed to inform early prevention strategies. Both genetic and…”
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  12. 12

    A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data by Momin, Md. Moksedul, Shin, Jisu, Lee, Soohyun, Truong, Buu, Benyamin, Beben, Lee, S. Hong

    Published in Nature communications (09-02-2023)
    “…Cross-ancestry genetic correlation is an important parameter to understand the genetic relationship between two ancestry groups. However, existing methods…”
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  13. 13

    Contextualizing genetic risk score for disease screening and rare variant discovery by Zhou, Dan, Yu, Dongmei, Scharf, Jeremiah M., Mathews, Carol A., McGrath, Lauren, Cook, Edwin, Lee, S. Hong, Davis, Lea K., Gamazon, Eric R.

    Published in Nature communications (20-07-2021)
    “…Studies of the genetic basis of complex traits have demonstrated a substantial role for common, small-effect variant polygenic burden (PB) as well as…”
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    Mitigating type 1 error inflation and power loss in GxE PRS: Genotype–environment interaction in polygenic risk score models by Jayasinghe, Dovini, Momin, Md. Moksedul, Beckmann, Kerri, Hyppönen, Elina, Benyamin, Beben, Lee, S. Hong

    Published in Genetic epidemiology (01-03-2024)
    “…The use of polygenic risk score (PRS) models has transformed the field of genetics by enabling the prediction of complex traits and diseases based on an…”
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    Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives by Truong, Buu, Zhou, Xuan, Shin, Jisu, Li, Jiuyong, van der Werf, Julius H. J., Le, Thuc D., Lee, S. Hong

    Published in Nature communications (17-06-2020)
    “…Polygenic risk scores are emerging as a potentially powerful tool to predict future phenotypes of target individuals, typically using unrelated individuals,…”
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  16. 16

    The genetic relationship between female reproductive traits and six psychiatric disorders by Ni, Guiyan, Amare, Azmeraw T., Zhou, Xuan, Mills, Natalie, Gratten, Jacob, Lee, S. Hong

    Published in Scientific reports (19-08-2019)
    “…Female reproductive behaviours have important implications for evolutionary fitness and health of offspring. Here we used the second release of UK Biobank data…”
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    Estimation of genomic prediction accuracy from reference populations with varying degrees of relationship by Lee, S Hong, Clark, Sam, van der Werf, Julius H J

    Published in PloS one (21-12-2017)
    “…Genomic prediction is emerging in a wide range of fields including animal and plant breeding, risk prediction in human precision medicine and forensic. It is…”
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    Circulating Phylloquinone and the Risk of Four Female-Specific Cancers: A Mendelian Randomization Study by Yalew, Melaku, Mulugeta, Anwar, Lumsden, Amanda L., Madakkatel, Iqbal, Lee, S. Hong, Oehler, Martin K., Mäenpää, Johanna, Hyppönen, Elina

    Published in Nutrients (29-10-2024)
    “…Background: Observational studies have linked vitamin K and cancer, but the causality of this association remains unknown. This Mendelian randomization (MR)…”
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