Principal components analysis corrects for stratification in genome-wide association studies

Keywords

Population stratificationSpurious relationshipBiologyPrincipal component analysisAllele frequencyGenetic associationGenome-wide association studyPopulationEvolutionary biologyComputational biologyGenomeGeneticsStratification (seeds)AlleleStatisticsSingle-nucleotide polymorphismMathematicsGenotypeDemographyGene

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Publication Info

Year: 2006
Type: article
Volume: 38
Issue: 8
Pages: 904-909
Citations: 10388
Access: Closed

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APA Style

                            
                                
                                    Alkes L. Price, 
                                
                                    Nick J. Patterson, 
                                
                                    Robert M. Plenge
                                
                                et al.
                            
                            (2006). 
                            Principal components analysis corrects for stratification in genome-wide association studies. 
                            Nature Genetics
                            , 38
                            (8)
                            , 904-909.
                            https://doi.org/10.1038/ng1847
                        

Identifiers

DOI: 10.1038/ng1847