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GLOGS: a fast and powerful method for GWAS of binary traits with risk covariates in related populations
Summary: Mixed model-based approaches to genome-wide association studies (GWAS) of binary traits in related individuals can account for non-genetic risk factors in an integrated manner. However, they are technically challenging. GLOGS (Genome-wide LOGistic mixed model/Score test) addresses such chal...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2012
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3356846/ https://ncbi.nlm.nih.gov/pubmed/22522135 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts190 |
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