Editorial: Statistical Methods, Computing and Resources for Genome-Wide Association Studies

Front Genet. 2021 Aug 5:12:714894. doi: 10.3389/fgene.2021.714894. eCollection 2021.

Authors

Hailan Liu¹, Lide Han², Guolian Kang³, Min Zhang⁴, Riyan Cheng⁵

Affiliations

¹ Maize Research Institute, Sichuan Agricultural University, Chengdu, China.
² Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States.
³ Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, United States.
⁴ Department of Statistics, Purdue University, West Lafayette, IN, United States.
⁵ Department of Psychiatry, University of California, San Diego, San Diego, CA, United States.

No abstract available

Keywords: genome-wide association study; imprinted QTL; multi-trait analysis; nested association mapping; pleiotropy.

Publication types

Editorial