Extremely low-coverage sequencing and imputation increases power for genome-wide association studies

Genome wide association studies (GWAS) have proven a powerful method to identify common genetic variants contributing to susceptibility to common diseases. Here we show that extremely low-coverage sequencing (0.1–0.5x) captures almost as much of the common (>5%) and low-frequency (1–5%) variation...

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Bibliografische gegevens
Hoofdauteurs: Pasaniuc, Bogdan, Rohland, Nadin, McLaren, Paul J., Garimella, Kiran, Zaitlen, Noah, Li, Heng, Gupta, Namrata, Neale, Benjamin, Daly, Mark, Sklar, Pamela, Sullivan, Patrick F., Bergen, Sarah, Moran, Jennifer L., Hultman, Christina M., Lichtenstein, Paul, Magnusson, Patrik, Purcell, Shaun M., Haas, David W., Liang, Liming, Sunyaev, Shamil, Patterson, Nick, de Bakker, Paul I.W., Reich, David, Price, Alkes L.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2012
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Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3400344/
https://ncbi.nlm.nih.gov/pubmed/22610117
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ng.2283
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