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Family-Based Association Studies for Next-Generation Sequencing

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Presentation on theme: "Family-Based Association Studies for Next-Generation Sequencing"— Presentation transcript:

1 Family-Based Association Studies for Next-Generation Sequencing
Yun Zhu, Momiao Xiong  The American Journal of Human Genetics  Volume 90, Issue 6, Pages (June 2012) DOI: /j.ajhg Copyright © 2012 The American Society of Human Genetics Terms and Conditions

2 Figure 1 Power Curves of the Family-Based CMC and Single-Marker Statistics as a Function of Sample Size (A) The power curves of the family-based CMC (variants with frequencies ≤ were collapsed) statistic as a function of the total number of individuals at the significance level α=0.05 in the test under seven settings: unrelated individuals in cases-controls study, nuclear family groups 1 and 2, sib-pair groups 1 and 2, and three-generational family groups 1 and 2, assuming the dominant model, 20% of the risk variants, and a baseline penetrance of 0.01. (B) The power curves of the corrected single-marker statistic as a function of the total number of individuals at the significance level α=0.05 in the test under seven settings: unrelated individuals in cases-controls study, nuclear family groups 1 and 2, sib-pair groups 1 and 2, and three-generational family groups 1 and 2, assuming the dominant model, 20% of the risk variants, and a baseline penetrance of 0.01. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2012 The American Society of Human Genetics Terms and Conditions

3 Figure 2 Power Curves of the Family-Based FPCA and SFPCA Statistics as a Function of Sample Size (A) The power curves of the family-based FPCA statistic as a function of the total number of individuals at the significance level α=0.05 in the test under seven settings: unrelated individuals in cases-controls study, nuclear family groups 1 and 2, sib-pair groups 1 and 2, and three-generational family groups 1 and 2, assuming the dominant model, 20% of the risk variants and a baseline penetrance of 0.01. (B) The power curves of the family-based SFPCA statistic as a function of the total number of individuals at the significance level α=0.05 in the test under seven settings: unrelated individuals in cases-controls study, nuclear family groups 1 and 2, sib-pair groups 1 and 2, and three-generational family groups 1 and 2, assuming the dominant model, 20% of the risk variants, and a baseline penetrance of 0.01. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2012 The American Society of Human Genetics Terms and Conditions

4 Figure 3 Power of Family-Based CMC and Single-Marker Statistics as a Function of the Proportion of Risk Variants (A) The power curves of the family-based CMC (variants with frequencies ≤ were collapsed) statistic as a function of the proportion of risk variants at the significance level α=0.05 in the test under seven settings: unrelated individuals in cases-controls study, nuclear family groups 1 and 2, sib-pair groups 1 and 2, and three-generational family groups 1 and 2, assuming the dominant model, a total of 1,800 sampled individuals, and a baseline penetrance of 0.01. (B) The power curves of the corrected single-marker statistic as a function of the proportion of rare variants at the significance level α=0.05 in the test under seven settings: unrelated individuals in cases-controls study, nuclear family groups 1 and 2, sib-pair groups 1 and 2, and three-generational family groups 1 and 2, assuming the dominant model, a total of 1,800 sampled individuals, and a baseline penetrance of 0.01. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2012 The American Society of Human Genetics Terms and Conditions

5 Figure 4 Power Curves of Family-Based FPCA and SFPCA Statistics as a Function of the Proportion of Risk Variants (A) The power curves of the family-based FPCA statistic as a function of the proportion of risk variants at the significance level α=0.05 in the test under seven settings: unrelated individuals in cases-controls study, nuclear family groups 1 and 2, sib-pair groups 1 and 2, and three-generational family groups 1 and 2, assuming the dominant model, a total of 1,800 sampled individuals, and a baseline penetrance of 0.01. (B) The power curves of the family-based SFPCA statistic as a function of the proportion of rare variants at the significance level α=0.05 in the test under seven settings: unrelated individuals in cases-controls study, nuclear family groups 1 and 2, sib-pair groups 1 and 2, and three-generational family groups 1 and 2, assuming the dominant model, a total of 1,800 sampled individuals, and a baseline penetrance of 0.01. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2012 The American Society of Human Genetics Terms and Conditions

6 Figure 5 Power of Tests as a Function of Sample Sizes for Group 1 Three-Generational Family and Sib-Pair (A) The power curve of five family-based statistics: SFPCA, FPCA, CMC, generalized T2, and individual χ2 statistic for three-generational family group 1 as a function of the total number of individuals at the significance level α=0.05 under the dominant model, assuming 20% of risk variants and a baseline penetrance of 0.01. (B) The power curve of five family-based statistics: S FPCA, FPCA, CMC, generalized T2, and individual χ2 statistic for sib-pair group 1 as a function of the total number of individuals at the significance level α=0.05 under the dominant model, assuming 20% of risk variants and a baseline penetrance of 0.01. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2012 The American Society of Human Genetics Terms and Conditions

7 Figure 6 Power of Tests as a Function of Sample Sizes for Group 1 Nuclear Family and Group 2 Three-Generational Family (A) The power curve of five family-based statistics: SFPCA, FPCA, CMC, generalized T2, and individual χ2 statistic for nuclear family group 1 as a function of the total number of individuals at the significance level α=0.05 under the dominant model, assuming 20% of risk variants and a baseline penetrance of 0.01. (B) The power curve of five family-based statistics: SFPCA, FPCA, CMC, generalized T2, and individual χ2 statistic for the three-generational family group 3 as a function of the number of sampled individuals at the significance level α=0.05 under the dominant model, assuming 20% of risk variants and a baseline penetrance of 0.01. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2012 The American Society of Human Genetics Terms and Conditions

8 Figure 7 Power of Tests as a Function of the Proportion of Risk Variants for Group 1 Three-Generational Family and Sib-Pair (A) The power curve of five family-based statistics: SFPCA, FPCA, CMC, generalized T2, and individual χ2 statistic for the three-generational family group 1 as a function of the proportion of risk variants at the significance level α=0.05 under the dominant model, assuming a total of 1,800 sampled individuals and a baseline penetrance of 0.01. (B) The power curve of five family-based statistics: SFPCA, FPCA, CMC, generalized T2, and individual χ2 statistic for sib-pair group 1 as a function of the proportion of risk variants at the significance level α=0.05 under the dominant model, assuming a total of 1,800 sampled individuals and a baseline penetrance of 0.01. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2012 The American Society of Human Genetics Terms and Conditions

9 Figure 8 Power of Tests for the Proportion of Risk Variants for Group 1 Nuclear Family and Group 2 Three-Generational Family (A) The power curve of five family-based statistics: SFPCA, FPCA, CMC, generalized T2, and individual χ2 statistic for nuclear family group 1 as a function of the proportion of risk variants at the significance level α=0.05 under the dominant model, assuming a total of 1,800 sampled individuals and a baseline penetrance of 0.01. (B) The power curve of five family-based statistics: SFPCA, FPCA, CMC, generalized T2, and individual χ2 statistic for three-generational family group 2 as a function of the ratio of the number of rare risk variants over the number of common risk variants at the significance level under the dominant model, assuming a total of 1,500 sampled individuals and a baseline penetrance of 0.01. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2012 The American Society of Human Genetics Terms and Conditions

10 Figure 9 Power Comparison of Tests for Group 2 Three-Generational Family under Opposite Directions of Association The power comparison of five family-based statistics: SFPCA, FPCA, CMC, generalized T2, and individual χ2 statistic for three-generational family group 2 under opposite directions of association as a function of the total number of individuals at the significance level α=0.05 under the dominant model, assuming 20% of the risk variants in one direction of association, 10% of risk variants and 10% of protective variants in two opposite directions of association, and a baseline penetrance of 0.01. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2012 The American Society of Human Genetics Terms and Conditions


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