LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies
10.1186/s12864-018-4851-2
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sg-nus-scholar.10635-1753772020-09-09T13:41:30Z LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies Yang, Y Dai, M Huang, J Lin, X Yang, C Chen, M Liu, J DUKE-NUS MEDICAL SCHOOL 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 genome-wide association study 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 10.1186/s12864-018-4851-2 BMC Genomics 19 1 503 2020-09-09T10:05:31Z 2020-09-09T10:05:31Z 2018 Article Yang, Y, Dai, M, Huang, J, Lin, X, Yang, C, Chen, M, Liu, J (2018). LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies. BMC Genomics 19 (1) : 503. ScholarBank@NUS Repository. https://doi.org/10.1186/s12864-018-4851-2 1471-2164 https://scholarbank.nus.edu.sg/handle/10635/175377 Unpaywall 20200831 |
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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 genome-wide association study 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 |
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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 genome-wide association study 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 Yang, Y Dai, M Huang, J Lin, X Yang, C Chen, M Liu, J LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies |
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10.1186/s12864-018-4851-2 |
author2 |
DUKE-NUS MEDICAL SCHOOL |
author_facet |
DUKE-NUS MEDICAL SCHOOL Yang, Y Dai, M Huang, J Lin, X Yang, C Chen, M Liu, J |
format |
Article |
author |
Yang, Y Dai, M Huang, J Lin, X Yang, C Chen, M Liu, J |
author_sort |
Yang, Y |
title |
LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies |
title_short |
LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies |
title_full |
LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies |
title_fullStr |
LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies |
title_full_unstemmed |
LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies |
title_sort |
lpg: a four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies |
publishDate |
2020 |
url |
https://scholarbank.nus.edu.sg/handle/10635/175377 |
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1681101922875998208 |