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Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets
BACKGROUND: In the last decade, Genome-wide Association studies (GWASs) have contributed to decoding the human genome by uncovering many genetic variations associated with various diseases. Many follow-up investigations involve joint analysis of multiple independently generated GWAS data sets. While...
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| Publicat a: | BMC Bioinformatics |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7866684/ https://ncbi.nlm.nih.gov/pubmed/33546598 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-03959-2 |
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