BGWAS: Bayesian variable selection in linear mixed models with nonlocal priors for genome-wide association studies

[1] Yu J(2006)A unified mixed-model method for association mapping that accounts for multiple levels of relatedness Nat Genet 38 203-208

[2] Pressoir G(2008)Efficient control of population structure in model organism association mapping Genetics 178 1709-1723

[3] Briggs WH(2011)Underestimated effect sizes in GWAS: fundamental limitations of single SNP analysis for dichotomous phenotypes PLoS ONE 6 27964-176

[4] Bi IV(2004)Detecting differential gene expression with a semiparametric hierarchical mixture method Biostatistics 5 155-925

[5] Yamasaki M(2015)hmmseq: a hidden Markov model for detecting differentially expressed genes from RNA-seq data Ann Appl Stat 9 901-13

[6] Doebley JF(2019)Modeling allele-specific expression at the gene and SNP levels simultaneously by a Bayesian logistic mixed regression model BMC Bioinform 20 1-170

[7] McMullen MD(2010)On the use of non-local prior densities in Bayesian hypothesis tests J R Stat Soc Ser B Stat Methodol 72 143-660

[8] Gaut BS(2012)Bayesian model selection in high-dimensional settings J Am Stat Assoc 107 649-185

[9] Nielsen DM(2020)Hyper nonlocal priors for variable selection in generalized linear models Sankhya A 82 147-290

[10] Holland JB(2015)Efficient Bayesian mixed-model analysis increases association power in large cohorts Nat Genet 47 284-12

[1] Yu J(2006)A unified mixed-model method for association mapping that accounts for multiple levels of relatedness Nat Genet 38 203-208

[2] Pressoir G(2008)Efficient control of population structure in model organism association mapping Genetics 178 1709-1723

[3] Briggs WH(2011)Underestimated effect sizes in GWAS: fundamental limitations of single SNP analysis for dichotomous phenotypes PLoS ONE 6 27964-176

[4] Bi IV(2004)Detecting differential gene expression with a semiparametric hierarchical mixture method Biostatistics 5 155-925

[5] Yamasaki M(2015)hmmseq: a hidden Markov model for detecting differentially expressed genes from RNA-seq data Ann Appl Stat 9 901-13

[6] Doebley JF(2019)Modeling allele-specific expression at the gene and SNP levels simultaneously by a Bayesian logistic mixed regression model BMC Bioinform 20 1-170

[7] McMullen MD(2010)On the use of non-local prior densities in Bayesian hypothesis tests J R Stat Soc Ser B Stat Methodol 72 143-660

[8] Gaut BS(2012)Bayesian model selection in high-dimensional settings J Am Stat Assoc 107 649-185

[9] Nielsen DM(2020)Hyper nonlocal priors for variable selection in generalized linear models Sankhya A 82 147-290

[10] Holland JB(2015)Efficient Bayesian mixed-model analysis increases association power in large cohorts Nat Genet 47 284-12