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  1. Article ; Online: GxEsum

    Jisu Shin / Sang Hong Lee

    Genome Biology, Vol 22, Iss 1, Pp 1-

    a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data

    2021  Volume 17

    Abstract: Abstract Genetic variation in response to the environment, that is, genotype-by-environment interaction (GxE), is fundamental in the biology of complex traits and diseases. However, existing methods are computationally demanding and infeasible to handle ... ...

    Abstract Abstract Genetic variation in response to the environment, that is, genotype-by-environment interaction (GxE), is fundamental in the biology of complex traits and diseases. However, existing methods are computationally demanding and infeasible to handle biobank-scale data. Here, we introduce GxEsum, a method for estimating the phenotypic variance explained by genome-wide GxE based on GWAS summary statistics. Through comprehensive simulations and analysis of UK Biobank with 288,837 individuals, we show that GxEsum can handle a large-scale biobank dataset with controlled type I error rates and unbiased GxE estimates, and its computational efficiency can be hundreds of times higher than existing GxE methods.
    Keywords GxE interaction ; Whole-genome approach ; Biobank-scale data ; Reaction norm model ; LDSC ; Biology (General) ; QH301-705.5 ; Genetics ; QH426-470
    Subject code 310
    Language English
    Publishing date 2021-06-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Optimization of Design Parameters Using SQP for an Agricultural Pipe Extraction Device

    Su-Min Lee / Sang-Hong Lee / Hyun-Woo Han / Jooseon Oh / Sung-Bo Shim

    Applied Sciences, Vol 13, Iss 3167, p

    2023  Volume 3167

    Abstract: Removal of agricultural pipes used in crop support and greenhouse agriculture is manpower-intensive. However, most agricultural workers are elderly. Therefore, auxiliary devices should be used to allow pipe removal with as little force as possible. In ... ...

    Abstract Removal of agricultural pipes used in crop support and greenhouse agriculture is manpower-intensive. However, most agricultural workers are elderly. Therefore, auxiliary devices should be used to allow pipe removal with as little force as possible. In this study, the design parameters of an extraction device were optimized within constraints to minimize the force required to remove agricultural pipes. The optimization parameters are the length of each link and the initial link angle of the device. The driving force, according to the design parameters, was calculated by applying the theory of kinematics. An optimal design plan was derived using an optimization algorithm to minimize the force driving the device within the desired constraint. As a result of the optimization, it was confirmed that the force required to remove the pipe was reduced by 87.1% compared with the initial design value and was designed to suit the user’s convenience.
    Keywords agricultural pipe ; optimum design ; sequential quadratic programming ; EMG value ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 621
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Robust Blocking of Human Faces with Personal Information Using Artificial Deep Neural Computing

    Seok-Woo Jang / Sang-Hong Lee

    Sustainability, Vol 12, Iss 6, p

    2020  Volume 2373

    Abstract: High-speed wired and wireless Internet are one of the useful ways to acquire various types of media data easily. In this circumstance, people also can easily get media data including objects with exposed personal information through the Internet. ... ...

    Abstract High-speed wired and wireless Internet are one of the useful ways to acquire various types of media data easily. In this circumstance, people also can easily get media data including objects with exposed personal information through the Internet. Exposure of personal information emerges as a social issue. This paper proposes an effective blocking technique that makes it possible to robustly detect target objects with exposed personal information from various types of input images with the use of deep neural computing and to effectively block the detected objects’ regions. The proposed technique first utilizes the neural computing-based learning algorithm to robustly detect the target object including personal information from an image. It next generates a grid-type mosaic and lets the mosaic overlap the target object region detected in the previous step so as to effectively block the object region that includes personal information. Experimental results reveal that the proposed algorithm robustly detects the target object region with exposed personal information from a variety of input images and effectively blocks the detected region through grid-type mosaic processing. The object blocking technique proposed in this paper is expected to be applied to various application fields such as image security, sustainable anticipatory computing, object tracking, and target blocking.
    Keywords neural computing ; target blocking algorithm ; image security ; media data ; activation function ; feature acquisition ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 006
    Language English
    Publishing date 2020-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Considering hormone-sensitive cancers as a single disease in the UK biobank reveals shared aetiology

    Muktar Ahmed / Ville-Petteri Mäkinen / Anwar Mulugeta / Jisu Shin / Terry Boyle / Elina Hyppönen / Sang Hong Lee

    Communications Biology, Vol 5, Iss 1, Pp 1-

    2022  Volume 14

    Abstract: Analysis of data from the UK Biobank considering multiple hormone-sensitive cancers as a single disease suggests substantial SNP-based heritability, identifying 55 variants with genome-wide significance. ...

    Abstract Analysis of data from the UK Biobank considering multiple hormone-sensitive cancers as a single disease suggests substantial SNP-based heritability, identifying 55 variants with genome-wide significance.
    Keywords Biology (General) ; QH301-705.5
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Correction

    Sang Hong Lee / Naomi R. Wray

    PLoS ONE, Vol 8, Iss

    Novel Genetic Analysis for Case-Control Genome-Wide Association Studies: Quantification of Power and Genomic Prediction Accuracy.

    2013  Volume 8

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2013-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Novel genetic analysis for case-control genome-wide association studies

    Sang Hong Lee / Naomi R Wray

    PLoS ONE, Vol 8, Iss 8, p e

    quantification of power and genomic prediction accuracy.

    2013  Volume 71494

    Abstract: Genome-wide association studies (GWAS) are routinely conducted for both quantitative and binary (disease) traits. We present two analytical tools for use in the experimental design of GWAS. Firstly, we present power calculations quantifying power in a ... ...

    Abstract Genome-wide association studies (GWAS) are routinely conducted for both quantitative and binary (disease) traits. We present two analytical tools for use in the experimental design of GWAS. Firstly, we present power calculations quantifying power in a unified framework for a range of scenarios. In this context we consider the utility of quantitative scores (e.g. endophenotypes) that may be available on cases only or both cases and controls. Secondly, we consider, the accuracy of prediction of genetic risk from genome-wide SNPs and derive an expression for genomic prediction accuracy using a liability threshold model for disease traits in a case-control design. The expected values based on our derived equations for both power and prediction accuracy agree well with observed estimates from simulations.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2013-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Correction

    Sang Hong Lee / Naomi R. Wray

    PLoS ONE, Vol 8, Iss

    Novel Genetic Analysis for Case-Control Genome-Wide Association Studies: Quantification of Power and Genomic Prediction Accuracy

    2013  Volume 8

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2013-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  8. Article ; Online: Age at first birth in women is genetically associated with increased risk of schizophrenia

    Guiyan Ni / Jacob Gratten / Naomi R. Wray / Sang Hong Lee / Schizophrenia Working Group of the Psychiatric Genomics Consortium

    Scientific Reports, Vol 8, Iss 1, Pp 1-

    2018  Volume 14

    Abstract: Abstract Previous studies have shown an increased risk for mental health problems in children born to both younger and older parents compared to children of average-aged parents. We previously used a novel design to reveal a latent mechanism of genetic ... ...

    Abstract Abstract Previous studies have shown an increased risk for mental health problems in children born to both younger and older parents compared to children of average-aged parents. We previously used a novel design to reveal a latent mechanism of genetic association between schizophrenia and age at first birth in women (AFB). Here, we use independent data from the UK Biobank (N = 38,892) to replicate the finding of an association between predicted genetic risk of schizophrenia and AFB in women, and to estimate the genetic correlation between schizophrenia and AFB in women stratified into younger and older groups. We find evidence for an association between predicted genetic risk of schizophrenia and AFB in women (P-value = 1.12E-05), and we show genetic heterogeneity between younger and older AFB groups (P-value = 3.45E-03). The genetic correlation between schizophrenia and AFB in the younger AFB group is −0.16 (SE = 0.04) while that between schizophrenia and AFB in the older AFB group is 0.14 (SE = 0.08). Our results suggest that early, and perhaps also late, age at first birth in women is associated with increased genetic risk for schizophrenia in the UK Biobank sample. These findings contribute new insights into factors contributing to the complex bio-social risk architecture underpinning the association between parental age and offspring mental health.
    Keywords Medicine ; R ; Science ; Q
    Subject code 300
    Language English
    Publishing date 2018-07-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Improving genetic prediction by leveraging genetic correlations among human diseases and traits

    Robert M. Maier / Zhihong Zhu / Sang Hong Lee / Maciej Trzaskowski / Douglas M. Ruderfer / Eli A. Stahl / Stephan Ripke / Naomi R. Wray / Jian Yang / Peter M. Visscher / Matthew R. Robinson

    Nature Communications, Vol 9, Iss 1, Pp 1-

    2018  Volume 17

    Abstract: Genetic prediction of complex traits so far has limited accuracy because of insufficient understanding of the genetic risk. Here, Maier et al. develop an improved method for trait prediction that makes use of genetic correlations between traits and apply ...

    Abstract Genetic prediction of complex traits so far has limited accuracy because of insufficient understanding of the genetic risk. Here, Maier et al. develop an improved method for trait prediction that makes use of genetic correlations between traits and apply it to summary statistics of psychiatric diseases.
    Keywords Science ; Q
    Language English
    Publishing date 2018-03-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Improving genetic prediction by leveraging genetic correlations among human diseases and traits

    Robert M. Maier / Zhihong Zhu / Sang Hong Lee / Maciej Trzaskowski / Douglas M. Ruderfer / Eli A. Stahl / Stephan Ripke / Naomi R. Wray / Jian Yang / Peter M. Visscher / Matthew R. Robinson

    Nature Communications, Vol 9, Iss 1, Pp 1-

    2018  Volume 17

    Abstract: Genetic prediction of complex traits so far has limited accuracy because of insufficient understanding of the genetic risk. Here, Maier et al. develop an improved method for trait prediction that makes use of genetic correlations between traits and apply ...

    Abstract Genetic prediction of complex traits so far has limited accuracy because of insufficient understanding of the genetic risk. Here, Maier et al. develop an improved method for trait prediction that makes use of genetic correlations between traits and apply it to summary statistics of psychiatric diseases.
    Keywords Science ; Q
    Language English
    Publishing date 2018-03-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

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