Bayesian method to predict individual SNP genotypes from gene expression data

• Published in: Nature genetics Vol. 44; no. 5; pp. 603 - 608
• Main Authors: Schadt, Eric E, Woo, Sangsoon, Hao, Ke
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.05.2012; Nature Publishing Group
• Subjects: 631/1647/2017; 631/208/199; 631/208/729/743; 631/553/2714; Adipose Tissue - metabolism; Agriculture; Animal Genetics and Genomics; Bayes Theorem; Bayesian statistical decision theory; Biological and medical sciences; Biomedical and Life Sciences; Biomedicine; Cancer Research; Cohort Studies; Computer Simulation; Deoxyribonucleic acid; DNA; Fundamental and applied biological sciences. Psychology; Gene expression; Gene Expression Profiling; Gene Function; Gene mapping; Genealogy; Genetics; Genetics of eukaryotes. Biological and molecular evolution; Genotype; Genotype & phenotype; Genotypes; Human Genetics; Humans; Identification and classification; Liver - metabolism; Methods; Polymorphism, Single Nucleotide - genetics; Privacy; Proteins; Quantitative Trait Loci; Single nucleotide polymorphisms; Studies; technical-report; United States; Genotype; Method; Single nucleotide polymorphism; Gene expression
• ISSN: 1061-4036; 1546-1718; 1546-1718
• DOI: 10.1038/ng.2248

Eric Schadt and colleagues report a Bayesian method to predict individual SNP genotypes based on RNA expression data. Using simulations and empirical data sets, they show that it is possible to infer a genotypic barcode specific to an individual, although the identification of an individual as a par...