Seunggeun (Shawn) Lee

Seunggeun (Shawn) Lee

Seoul National University

Assistant Professor

Graduate School of Data Science

Research Area

  • #Type I and type II errors
  • #Genetic association
  • #Biology
  • #Genome-wide association study
  • #Computer science
  • #Statistics
  • #Computational biology
  • #Meta-analysis
  • #Mathematics
  • #Genetics

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Related papers to
‘ Type I and type II errors ‘ : 14

  • Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies.

    2018/08

    25.5 Impact Factor

    198 citations

    Wei Zhou, Jonas B Nielsen, Lars G Fritsche, Rounak Dey, Maiken E Gabrielsen, Brooke N Wolford, Jonathon LeFaive, Peter VandeHaar, Sarah A Gagliano, Aliya Gifford, Lisa A Bastarache, Wei-Qi Wei, Joshua C. Denny, Maoxuan Lin, Kristian Hveem, Hyun Min Kang, Goncalo R. Abecasis, Cristen J Willer, Seunggeun Lee

    DOI : 10.1038/S41588-018-0184-Y

    • #Biology
    • #Statistics
    • #Scalability
    • #Linear model
    • #Type I and type II errors
    • #Mixed model
    • #Biobank
    • #Score test
    • #Genetic association
    • #Genome-wide association study

All papers authored by
‘ Seunggeun (Shawn) Lee ’ : 32

  • Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies.

    2018/08
    NATURE GENETICS

    25.5 Impact Factor

    198 citations

    Wei Zhou, Jonas B Nielsen, Lars G Fritsche, Rounak Dey, Maiken E Gabrielsen, Brooke N Wolford, Jonathon LeFaive, Peter VandeHaar, Sarah A Gagliano, Aliya Gifford, Lisa A Bastarache, Wei-Qi Wei, Joshua C. Denny, Maoxuan Lin, Kristian Hveem, Hyun Min Kang, Goncalo R. Abecasis, Cristen J Willer, Seunggeun Lee

    DOI : 10.1038/S41588-018-0184-Y

    • #Biology
    • #Statistics
    • #Scalability
    • #Linear model
    • #Type I and type II errors
    • #Mixed model
    • #Biobank
    • #Score test
    • #Genetic association
    • #Genome-wide association study

Related papers to
‘ Type I and type II errors ‘ : 14

  • Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies.

    2018/08
    NATURE GENETICS

    25.5 Impact Factor

    198 citations

    Wei Zhou, Jonas B Nielsen, Lars G Fritsche, Rounak Dey, Maiken E Gabrielsen, Brooke N Wolford, Jonathon LeFaive, Peter VandeHaar, Sarah A Gagliano, Aliya Gifford, Lisa A Bastarache, Wei-Qi Wei, Joshua C. Denny, Maoxuan Lin, Kristian Hveem, Hyun Min Kang, Goncalo R. Abecasis, Cristen J Willer, Seunggeun Lee

    DOI : 10.1038/S41588-018-0184-Y

    • #Biology
    • #Statistics
    • #Scalability
    • #Linear model
    • #Type I and type II errors
    • #Mixed model
    • #Biobank
    • #Score test
    • #Genetic association
    • #Genome-wide association study
  • Test for Rare Variants by Environment Interactions in Sequencing Association Studies

    2016/03
    BIOMETRICS

    1.3 Impact Factor

    59 citations

    Xinyi Lin, Seunggeun Lee, Michael C. Wu, Chaolong Wang, Han Chen, Zilin Li, Xihong Lin

    DOI : 10.1111/BIOM.12368

    • #Computational biology
    • #Bioinformatics
    • #Regression
    • #Covariate
    • #Type I and type II errors
    • #Variance components
    • #Candidate gene
    • #Genetic association
    • #Association test
    • #Plasma adiponectin

Get access to
Contact information

Log in

All papers authored by
‘ Seunggeun (Shawn) Lee ’ : 32

  • Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies.

    2018/08
    NATURE GENETICS

    25.5 Impact Factor

    198 citations

    Wei Zhou, Jonas B Nielsen, Lars G Fritsche, Rounak Dey, Maiken E Gabrielsen, Brooke N Wolford, Jonathon LeFaive, Peter VandeHaar, Sarah A Gagliano, Aliya Gifford, Lisa A Bastarache, Wei-Qi Wei, Joshua C. Denny, Maoxuan Lin, Kristian Hveem, Hyun Min Kang, Goncalo R. Abecasis, Cristen J Willer, Seunggeun Lee

    DOI : 10.1038/S41588-018-0184-Y

    • #Biology
    • #Statistics
    • #Scalability
    • #Linear model
    • #Type I and type II errors
    • #Mixed model
    • #Biobank
    • #Score test
    • #Genetic association
    • #Genome-wide association study
  • Biobank-driven genomic discovery yields new insight into atrial fibrillation biology

    2018/07
    NATURE GENETICS

    25.5 Impact Factor

    139 citations

    Jonas B Nielsen, Rosa B. Thorolfsdottir, Lars G Fritsche, Wei Zhou, Morten W. Skov, Sarah E. Graham, Todd J. Herron, Shane McCarthy, Ellen M. Schmidt, Gardar Sveinbjornsson, Ida Surakka, Michael R. Mathis, Masatoshi Yamazaki, Ryan D. Crawford, Maiken E Gabrielsen, Anne Heidi Skogholt, Oddgeir L. Holmen, Maoxuan Lin, Brooke N Wolford, Rounak Dey, Håvard Dalen, Patrick Sulem, Jonathan H. Chung, Joshua D. Backman, David O. Arnar, Unnur Thorsteinsdottir, Aris Baras, Colm O’Dushlaine, Anders G. Holst, Xiaoquan Wen, Whitney Hornsby, Frederick E. Dewey, Michael Boehnke, Sachin Kheterpal, Bhramar Mukherjee, Seunggeun Lee, Hyun Min Kang, Hilma Holm, Jacob Kitzman, Jordan A. Shavit, José Jalife, Chad M. Brummett, Tanya M. Teslovich, David J. Carey, Daniel F. Gudbjartsson, Kari Stefansson, Goncalo R. Abecasis, Kristian Hveem, Cristen J Willer

    DOI : 10.1038/S41588-018-0171-3

    • #Biology
    • #Bioinformatics
    • #Atrial fibrillation
    • #Cardiac arrhythmia
    • #Locus (genetics)
    • #Candidate gene
    • #PITX2
    • #MYH7
    • #MYH6
    • #SGCG

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