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Low-coverage Sequencing Cost-Effectively Detects Known and Novel Variation in Underrepresented Populations

Alicia R. Martin,Elizabeth G. Atkinson,Sinead B. Chapman,Anne Stevenson,Rocky E. Stroud,Tamrat Abebe,Dickens Akena,Melkam Alemayehu,Fred K. Ashaba,Lukoye Atwoli,Tera Bowers,Lori B. Chibnik,Mark J. Daly,Timothy DeSmet,Sheila Dodge,Abebaw Fekadu,Steven Ferriera,Bizu Gelaye,Stella Gichuru,Wilfred E. Injera,Roxanne James,Symon M. Kariuki,Gabriel Kigen,Karestan C. Koenen,Edith Kwobah,Joseph Kyebuzibwa,Lerato Majara,Henry Musinguzi,Rehema M. Mwema,Benjamin M. Neale,Carter P. Newman,Charles R. J. C. Newton,Joseph K. Pickrell,Raj Ramesar,Welelta Shiferaw,Dan J. Stein,Solomon Teferra,Celia van der Merwe,Zukiswa Zingela

The American Journal of Human Genetics（2021）

Cited 44|Views9
Key words
low-coverage sequencing,GWAS,GWAS arrays,whole-genome sequencing,cost comparison,study design,Africa
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