Powerful, Scalable and Resource-Efficient Meta-Analysis of Rare Variant Associations in Large Whole Genome Sequencing Studies

Xihao Li,Corbin Quick,Hufeng Zhou,Sheila M. Gaynor,Yaowu Liu,Han Chen,Margaret Sunitha Selvaraj,Ryan Sun,Rounak Dey,Donna K. Arnett,Lawrence F. Bielak,Joshua C. Bis,John Blangero,Eric Boerwinkle,Donald W. Bowden,Jennifer A. Brody,Brian E. Cade,Adolfo Correa,L. Adrienne Cupples,Joanne E. Curran,Paul S. de Vries,Ravindranath Duggirala,Barry I. Freedman,Harald H. H. Göring,Xiuqing Guo,Jeffrey Haessler,Rita R. Kalyani,Charles Kooperberg,Brian G. Kral,Leslie A. Lange,Ani Manichaikul,Lisa W. Martin,Stephen T. McGarvey,Braxton D. Mitchell,May E. Montasser,Alanna C. Morrison,Take Naseri,Jeffrey R. O’Connell,Nicholette D. Palmer,Patricia A. Peyser,Bruce M. Psaty,Laura M. Raffield,Susan Redline,Alexander P. Reiner,Muagututi’a Sefuiva Reupena,Kenneth M. Rice,Stephen S. Rich,Colleen M. Sitlani,Jennifer A. Smith,Kent D. Taylor,Ramachandran S. Vasan,Cristen J. Willer,James G. Wilson,Lisa R. Yanek,Wei Zhao,Namiko Abe,Jerome I. Rotter,Pradeep Natarajan,Gina M. Peloso,Zilin Li,Xihong Lin

NATURE GENETICS（2023）

Cited 22|Views93

Key words

Cardiovascular diseases,DNA sequencing,Genetic association study,Sequence annotation,Software,Biomedicine,general,Human Genetics,Cancer Research,Agriculture,Gene Function,Animal Genetics and Genomics

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