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Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits
Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with complex traits and diseases. However, elucidating the causal genes underlying GWAS hits remains challenging. We applied the summary data-based Mendelian randomization (SMR) method to 28 GWAS summary d...
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| Publicado no: | Genome Med |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4979185/ https://ncbi.nlm.nih.gov/pubmed/27506385 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13073-016-0338-4 |
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