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Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Xiaodan Fan, Nelson L. S

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Presentation on theme: "Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Xiaodan Fan, Nelson L. S"— Presentation transcript:

1 BOOST: A Fast Approach to Detecting Gene-Gene Interactions in Genome-wide Case- Control Studies 
Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Xiaodan Fan, Nelson L.S. Tang, Weichuan Yu  The American Journal of Human Genetics  Volume 87, Issue 3, Pages (September 2010) DOI: /j.ajhg Copyright © 2010 The American Society of Human Genetics Terms and Conditions

2 Figure 1 KSA Performance in Simulation
(A) The LD (measured by r2) pattern of simulated data from the Hapmap data. To show the block structure clearly, we show only the LD of the first 500 SNPs here. The LD block structure of all 2000 SNPs is very similar. (B) Comparison of the values 2(LˆS−LˆKSA) and 2(LˆS−LˆH) based on KSA and log-linear models. KSA overestimation 2(LˆS−LˆH)≤2(LˆS−LˆKSA) is illustrated here. For the region [25, + ∞), 2(LˆS−LˆKSA) is almost identical to 2(LˆS−LˆH). The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2010 The American Society of Human Genetics Terms and Conditions

3 Figure 2 The Performance Comparison between BOOST and PLINK on Four Disease Models Under each parameter setting, 100 data sets are generated. Both 800 samples and 1600 samples with balanced design are simulated. The power is calculated as the proportion of the 100 data sets in which the interactions of the disease-associated SNPs are detected. The absence of bars indicates no power. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2010 The American Society of Human Genetics Terms and Conditions

4 Figure 3 Comparison of the Type I Error Rates in Null Simulation
(a) Null simulation with no LD. (b) Null simulation with LD. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2010 The American Society of Human Genetics Terms and Conditions

5 Figure 4 Comparison between the Single-Locus Association Mapping and the Interaction Mapping for T1D and RA Top-left panel: Single-locus association mapping of T1D and RA. These two share a very similar hit region in chromosome 6. Top-right panel: The LD map of the MHC region in control samples. Bottom panel: Genome-wide interaction mapping of T1D and RA. 99.8% of T1D interactions and 80.0% of RA interactions are in the MHC region. Strong interaction effects widely exist between genes in and across the MHC class I, II, and III in T1D, whereas most significant interactions of RA involve only loci closely placed in the MHC class II region (The p values are truncated at p = 1.0 × 10−16). The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2010 The American Society of Human Genetics Terms and Conditions

6 Figure 5 The 31350k–31390k Region of Chromosome 6
HLA-B in the MHC class I is located in this region. The recombination rate and LD plot from HapMap show that a block structure exists from 31360k to 31380k. This region is mapped through the SNPs rs , rs , rs , rs396038, rs , rs , and rs The SNPs rs and rs are involved in the interactions with the 32930k–32960k region shown in Figure S2. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2010 The American Society of Human Genetics Terms and Conditions

7 Figure 6 The 32810k–32860k Region of Chromosome 6
HLA-DQA2 and HLA-DQB2 in the MHC class II reside in this region. The recombination rate and LD plot from HapMap show that a block structure exists from 32820k to 32847k. This region is mapped through the genotyped SNPs rs , rs , and rs The ungenotyped SNPs rs and rs reside in HLA-DQA2 and HLA-DQB2, respectively. They are in strong LD with those genotyped SNPs. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2010 The American Society of Human Genetics Terms and Conditions

8 Figure 7 Potential Pathways Involving HLA_B, HLA_DQA2, and PSMB8
T1DM represents the type 1 diabetes mellitus pathway. Antigen represents the antigen processing and presentation pathway. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2010 The American Society of Human Genetics Terms and Conditions


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