Open AccessImputation of coding variants in African Americans: better performance using data from the exome sequencing project
Author(s) -
Qing Duan,
Eric Yi Liu,
Paul L. Auer,
Guosheng Zhang,
Ethan M. Lange,
Goo Jun,
Chris Bizon,
Shuo Jiao,
Steven Buyske,
Nora Franceschini,
Chris Carlson,
Li Hsu,
Alexander P. Reiner,
Annette Peters,
Jeffrey Haessler,
K.M. Curtis,
Christina L. Wassel,
Jennifer G. Robinson,
Lisa W. Martin,
Christopher A. Haiman,
Loı̈c Le Marchand,
Tara C. Matise,
Lucia A. Hindorff,
Dana C. Crawford,
Themistocles L. Assimes,
Hyun Min Kang,
Gerardo Heiss,
Rebecca D. Jackson,
Charles Kooperberg,
James Wilson,
Gonçalo R. Abecasis,
Kari E. North,
Deborah A. Nickerson,
Leslie A. Lange,
Yun Li
Publication year - 2013
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/8p33-rs54
Subject(s) - imputation (statistics) , exome sequencing , exome , coding (social sciences) , computer science , statistics , biology , genetics , computational biology , missing data , mathematics , gene , phenotype