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  "Title": "Powerful Replicability Analysis of Genome-Wide Association\nStudies",
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  "Description": "A robust and powerful approach is developed for\nreplicability analysis of two Genome-wide association studies\n(GWASs) accounting for the linkage disequilibrium (LD) among\ngenetic variants. The LD structure in two GWASs is captured by\na four-state hidden Markov model (HMM). The unknowns involved\nin the HMM are estimated by an efficient\nexpectation-maximization (EM) algorithm in combination with a\nnon-parametric estimation of functions. By incorporating\ninformation from adjacent locations via the HMM, this approach\nidentifies the entire clusters of genotype-phenotype associated\nsignals, improving the power of replicability analysis while\neffectively controlling the false discovery rate.",
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