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45 Results

for author "Momiao Xiong"

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  • Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models
    Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore, Momiao Xiong
    Genetics February 2016 202: 457-470; https://doi.org/10.1534/genetics.115.180869
  • You have access
    Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models
    Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore, Momiao Xiong
    Genetics Feb 2016, 202 (2) 457-470; DOI: 10.1534/genetics.115.180869
    View table
    Table 1
    By Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore and Momiao Xiong
    Association analysis of T2D status in eight European cohorts by heterogeneous Rao’s efficient score test statistics (Het-Rao), Het-MetaSKAT-O, and Het-MetaSKAT
  • You have access
    Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models
    Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore, Momiao Xiong
    Genetics Feb 2016, 202 (2) 457-470; DOI: 10.1534/genetics.115.180869
    View table
    Table 2
    By Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore and Momiao Xiong
    Association analysis of T2D status in eight European cohorts by homogeneous Rao’s efficient score test statistics (Hom-Rao), Hom-MetaSKAT-O, and Hom-MetaSKAT
  • You have access
    Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models
    Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore, Momiao Xiong
    Genetics Feb 2016, 202 (2) 457-470; DOI: 10.1534/genetics.115.180869
    View table
    Table 3
    By Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore and Momiao Xiong
    Simulation study settings
  • You have access
    Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models
    Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore, Momiao Xiong
    Genetics Feb 2016, 202 (2) 457-470; DOI: 10.1534/genetics.115.180869
    View table
    Table 4
    By Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore and Momiao Xiong
    Simulation parameter settings
  • You have access
    Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models
    Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore, Momiao Xiong
    Genetics Feb 2016, 202 (2) 457-470; DOI: 10.1534/genetics.115.180869
    View table
    Table 5
    By Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore and Momiao Xiong
    Empirical type I error rates of Rao’s efficient score test statistics and LRT statistics at different α levels based on 106 simulated data sets when only rare variants were used to generate genotype data
  • You have access
    Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models
    Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore, Momiao Xiong
    Genetics Feb 2016, 202 (2) 457-470; DOI: 10.1534/genetics.115.180869
    View table
    Table 6
    By Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore and Momiao Xiong
    Empirical type I error rates of Rao’s efficient score test statistics and LRT statistics at different α levels based on 106 simulated data sets when all variants were used to generate genotype data
  • You have access
    Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models
    Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore, Momiao Xiong
    Genetics Feb 2016, 202 (2) 457-470; DOI: 10.1534/genetics.115.180869
    Figure 1
    Figure 1
    By Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore and Momiao Xiong
    The empirical power of the GFLM Hom-Rao of models (3) and (6) as well as the AEM Het-Rao of the additive-effect model (1) and MetaSKAT at Formula when some causal variants are rare and some are common and the genetic effect is simulated as homogeneous. When Neg pct = 0, all causal variants had positive effects; when Neg pct = 20, 20/80% of causal variants had negative/positive effects; when Neg pct = 50, 50/50% of causal variants had negative/positive effects.
  • You have access
    Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models
    Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore, Momiao Xiong
    Genetics Feb 2016, 202 (2) 457-470; DOI: 10.1534/genetics.115.180869
    Figure 2
    Figure 2
    By Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore and Momiao Xiong
    The empirical power of the GFLM Hom-Rao of models (3) and (6) as well as the AEM Het-Rao of the additive-effect model (1) and MetaSKAT at Formula when all causal variants are rare and the genetic effect is simulated as homogeneous. When Neg pct = 0, all causal variants had positive effects; when Neg pct = 20, 20/80% of causal variants had negative/positive effects; when Neg pct = 50, 50/50% of causal variants had negative/positive effects.
  • You have access
    Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models
    Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore, Momiao Xiong
    Genetics Feb 2016, 202 (2) 457-470; DOI: 10.1534/genetics.115.180869
    Figure 3
    Figure 3
    By Ruzong Fan, Yifan Wang, Chi-yang Chiu, Wei Chen, Haobo Ren, Yun Li, Michael Boehnke, Christopher I. Amos, Jason H Moore and Momiao Xiong
    The empirical power of the GFLM Hom-Rao of models (3) and (6) as well as the AEM Het-Rao of the additive-effect model (1) and MetaSKAT at Formula when some causal variants are rare and some are common and the genetic effect is simulated as heterogeneous. When Neg pct = 0, all causal variants had positive effects; when Neg pct = 20, 20/80% of causal variants had negative/positive effects; when Neg pct = 50, 50/50% of causal variants had negative/positive effects.

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