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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Detalles Bibliográficos
Autores principales: Pavlides, Jennifer M. Whitehead, Zhu, Zhihong, Gratten, Jacob, McRae, Allan F., Wray, Naomi R., Yang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Database
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4979185/
https://www.ncbi.nlm.nih.gov/pubmed/27506385
http://dx.doi.org/10.1186/s13073-016-0338-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4979185/
https://www.ncbi.nlm.nih.gov/pubmed/27506385
http://dx.doi.org/10.1186/s13073-016-0338-4

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