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Increasing the power of meta-analysis of genome-wide association studies to detect heterogeneous effects
MOTIVATION: Meta-analysis is essential to combine the results of genome-wide association studies (GWASs). Recent large-scale meta-analyses have combined studies of different ethnicities, environments and even studies of different related phenotypes. These differences between studies can manifest as...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Bioinformatics |
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| Κύριοι συγγραφείς: | , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Oxford University Press
2017
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5870848/ https://ncbi.nlm.nih.gov/pubmed/28881976 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx242 |
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