Estimating the posterior probability that genome-wide association findings are true or false | Zendy

József Bukszár | Zendy; Joseph L. McClay | Zendy; Edwin J. C. G. van den Oord | Zendy

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Estimating the posterior probability that genome-wide association findings are true or false

Author(s) -

József Bukszár,

Joseph L. McClay,

Edwin J. C. G. van den Oord

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp305

Subject(s) - false discovery rate , genome wide association study , posterior probability , computer science , statistic , multiple comparisons problem , statistics , test statistic , data mining , association (psychology) , statistical hypothesis testing , artificial intelligence , mathematics , bayesian probability , biology , genetics , gene , single nucleotide polymorphism , philosophy , epistemology , genotype

A limitation of current methods used to declare significance in genome-wide association studies (GWAS) is that they do not provide clear information about the probability that GWAS findings are true of false. This lack of information increases the chance of false discoveries and may result in real effects being missed.

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