GPU empowered pipelines for calculating genome-wide kinship matrices with ultra-high dimensional genetic variants and facilitating 1D and 2D GWAS

Genome-wide association study (GWAS) is a powerful approach that has revolutionized the field of quantitative genetics. Two-dimensional GWAS that accounts for epistatic genetic effects needs to consider the effects of marker pairs, thus quadratic genetic variants, compared to one-dimensional GWAS th...

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Detalles Bibliográficos
Autores principales: Zhang, Wenchao, Dai, Xinbin, Xu, Shizhong, Zhao, Patrick X
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Methods Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671369/
https://www.ncbi.nlm.nih.gov/pubmed/33575561
http://dx.doi.org/10.1093/nargab/lqz009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671369/
https://www.ncbi.nlm.nih.gov/pubmed/33575561
http://dx.doi.org/10.1093/nargab/lqz009

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