Bayesian statistical methods for genetic association studies Export

@article{Stephens2009, abstract = {Bayesian statistical methods have recently made great inroads into many areas of science, and this advance is now extending to the assessment of association between genetic variants and disease or other phenotypes. We review these methods, focusing on single-SNP tests in genome-wide association studies. We discuss the advantages of the Bayesian approach over classical (frequentist) approaches in this setting and provide a tutorial on basic analysis steps, including practical guidelines for appropriate prior specification. We demonstrate the use of Bayesian methods for fine mapping in candidate regions, discuss meta-analyses and provide guidance for refereeing manuscripts that contain Bayesian analyses.}, author = {Stephens, Matthew and Balding, David J.}, citeulike-article-id = {5802151}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nrg2615}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nrg2615}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19763151}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=19763151}, day = {01}, doi = {10.1038/nrg2615}, issn = {1471-0056}, journal = {Nature Reviews Genetics}, keywords = {gwas}, month = {October}, number = {10}, pages = {681--690}, posted-at = {2009-09-25 15:25:40}, priority = {5}, publisher = {Nature Publishing Group}, title = {Bayesian statistical methods for genetic association studies}, url = {http://dx.doi.org/10.1038/nrg2615}, volume = {10}, year = {2009} }

TY - JOUR ID - Stephens2009 L3 - citeulike-article-id:5802151 N2 - Bayesian statistical methods have recently made great inroads into many areas of science, and this advance is now extending to the assessment of association between genetic variants and disease or other phenotypes. We review these methods, focusing on single-SNP tests in genome-wide association studies. We discuss the advantages of the Bayesian approach over classical (frequentist) approaches in this setting and provide a tutorial on basic analysis steps, including practical guidelines for appropriate prior specification. We demonstrate the use of Bayesian methods for fine mapping in candidate regions, discuss meta-analyses and provide guidance for refereeing manuscripts that contain Bayesian analyses. IS - 10 JF - Nature Reviews Genetics SN - 1471-0056 EP - 690 TI - Bayesian statistical methods for genetic association studies PB - Nature Publishing Group VL - 10 SP - 681 KW - gwas AU - Stephens, Matthew AU - Balding, David PY - 2009/10/01/ UR - http://dx.doi.org/10.1038/nrg2615 ER -