Coping with family structure in genome-wide association studies: a comparative evaluation

In this paper, a fully statistical investigation of the control of family structure as random effects is analyzed and discussed, using both the genome-wide association studies (GWAS) data and simulated data. Three modeling strategies are proposed and the analysis results suggest the hybrid use of re...

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Detalles Bibliográficos
Autores principales: Hsu, Yayun, Auerbach, Jonathan, Zheng, Tian, Lo, Shaw-hwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156900/
https://www.ncbi.nlm.nih.gov/pubmed/30263047
http://dx.doi.org/10.1186/s12919-018-0151-8
Descripción
Sumario:In this paper, a fully statistical investigation of the control of family structure as random effects is analyzed and discussed, using both the genome-wide association studies (GWAS) data and simulated data. Three modeling strategies are proposed and the analysis results suggest the hybrid use of results from all possible models should be combined in practice.

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