Identification of missing variants by combining multiple analytic pipelines

BACKGROUND: After decades of identifying risk factors using array-based genome-wide association studies (GWAS), genetic research of complex diseases has shifted to sequencing-based rare variants discovery. This requires large sample sizes for statistical power and has brought up questions about whet...

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Detalles Bibliográficos
Autores principales: Ren, Yingxue, Reddy, Joseph S., Pottier, Cyril, Sarangi, Vivekananda, Tian, Shulan, Sinnwell, Jason P., McDonnell, Shannon K., Biernacka, Joanna M., Carrasquillo, Minerva M., Ross, Owen A., Ertekin-Taner, Nilüfer, Rademakers, Rosa, Hudson, Matthew, Mainzer, Liudmila Sergeevna, Asmann, Yan W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902939/
https://www.ncbi.nlm.nih.gov/pubmed/29661148
http://dx.doi.org/10.1186/s12859-018-2151-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902939/
https://www.ncbi.nlm.nih.gov/pubmed/29661148
http://dx.doi.org/10.1186/s12859-018-2151-0

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