A new set-valued system identification approach to identifying rare genetic variants for ordered categorical phenotype

BMC Bioinformatics

Poster Presentation

Guolian Kang¹  Yun Li²  Christine M Hartford³  Wing Leung⁴  Yuehua Cui⁵  Wenjian Bi⁶  Ji-Feng Zhang⁶ 

[1] Department of Biostatistics, St. Jude Children’s Research Hospital, 38105, Memphis, TN, USA;Department of Biostatistics, University of North Carolina, 3101 McGavran-Greenberg Hall, 27599, Chapel Hill, NC, USA;Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children’s Research Hospital, 38105, Memphis, TN, USA;Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children’s Research Hospital, 38105, Memphis, TN, USA;Department of Pediatrics, University of Tennessee Health Science Center, 38163, Memphis, TN, USA;Department of Statistics and Probability, Michigan State University, 48824, East Lansing, MI, USA;Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, PRC;

关键词: Association Study;    Minor Allele Frequency;    Rare Variant;    Genetic Association Study;    Categorical Phenotype;   

DOI  :  10.1186/1471-2105-15-S10-P29

来源: Springer

【 授权许可】

Unknown   
© Bi et al; licensee BioMed Central Ltd. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.