Integrative Bayesian variable selection with gene-based informative priors for genome-wide association studies

被引:0
作者
Xiaoshuai Zhang
Fuzhong Xue
Hong Liu
Dianwen Zhu
Bin Peng
Joseph L Wiemels
Xiaowei Yang
机构
[1] Bayessoft,School of Public Health
[2] Inc.,Shandong Provincial Institute of Dermatology and Venereology
[3] Shandong University,School of Public Health
[4] Shandong Academy of Medical Science,Department of Epidemiology and Biostatistics
[5] Chongqing Medical University,undefined
[6] University of California San Francisco,undefined
来源
BMC Genetics | / 15卷
关键词
Biomarker discovery; Bayesian hierarchical modeling; Gene-based biomarkers; Bayesian variable selection; Integrative biomarker identification;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 292 条
  • [11] Dick DM(2011)Progress and promise of genome-wide association studies for human complex trait genetics Genetics 187 367-383
  • [12] Rose RJ(2010)A versatile gene-based test for genome-wide association studies Am J Hum Genet 87 139-145
  • [13] Savolainen MJ(2012)Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits Nat Genet 44 369-375
  • [14] Viikari J(2011)GATES: a rapid and powerful gene-based association test using extended Simes procedure Am J Hum Genet 88 283-293
  • [15] Kähönen M(2006)Aspects of the design and analysis of high-dimensional SNP studies for disease risk estimation Biostatistics 7 339-354
  • [16] Lehtimäki T(2005)Bayesian variable selection in clustering high-dimensional data J Am Stat Assoc 100 602-617
  • [17] Pietiläinen KH(1988)Bayesian variable selection in linear regression J Am Stat Assoc 83 1023-1032
  • [18] Inouye M(2011)Bayesian variable selection regression for genome-wide association studies and other large-scale problems Ann Appl Stat 5 1780-1815
  • [19] McCarthy MI(2008)Bayesian variable and model selection methods for genetic association studies Genet Epidemiol 33 27-37
  • [20] Jula A(2010)Bayesian model search and multilevel inference for SNP association studies Ann Appl Stat 4 1342-2289