LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies

• Main Authors: Yang, Y, Dai, M, Huang, J, Lin, X, Yang, C, Chen, M, Liu, J
• Other Authors: DUKE-NUS MEDICAL SCHOOL
• Format: Article
• Published: 2020
• Subjects: Article; case control study; controlled study; Crohn disease; genetic risk; genetic variability; genome-wide association study; human; insulin dependent diabetes mellitus; phenotypic variation; pleiotropy; quantitative trait; rheumatoid arthritis; simulation; single nucleotide polymorphism; algorithm; Bayes theorem; computer interface; genetics; procedures; Algorithms; Arthritis, Rheumatoid; Bayes Theorem; Crohn Disease; Diabetes Mellitus, Type 1; Genetic Pleiotropy; Genome-Wide Association Study; Humans; Internet Access; Polymorphism, Single Nucleotide; User-Computer Interface
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/175377
• Institution: National University of Singapore

10.1186/s12864-018-4851-2