ArticlePloS one2008
Comparison of population-based association study methods correcting for population stratification.
Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Multi-model genome-wide association studies for appearance quality in rice.Frontiers in plant science · 2023Article
- Enhanced growth rate under elevated COPlant molecular biology · 2022Article
- Genome-wide association study and functional follow-up identify 14q12 as a candidate risk locus for cervical cancer.Human molecular genetics · 2022Article
- Genome-wide mapping of quantitative trait loci in admixed populations using mixed linear model and Bayesian multiple regression analysis.Genetics, selection, evolution : GSE · 2018Article
- Population Stratification in Genetic Association Studies.Current protocols in human genetics · 2017Review
- Mapping asthma-associated variants in admixed populations.Frontiers in genetics · 2015Review
- Race Does Not Predict Melanocyte Heterogeneous Responses to Dermal Fibroblast-Derived Mediators.PloS one · 2015Article
- Consequences of a poecilogonous life history for genetic structure in coastal populations of the polychaete Streblospio benedicti.Molecular ecology · 2012Article
- Conceptual approaches to the study of health disparities.Annual review of public health · 2012Review
- Rare and low frequency variant stratification in the UK population: description and impact on association tests.PloS one · 2012Article
- The utility of mitochondrial and y chromosome phylogenetic data to improve correction for population stratification.Frontiers in genetics · 2012Article
- Prothrombin G20210A and factor V Leiden polymorphisms in stroke.Journal of molecular neuroscience : MN · 2012Article
- Article
- Quality control procedures for genome-wide association studies.Current protocols in human genetics · 2011Article
- Accounting for population stratification in practice: a comparison of the main strategies dedicated to genome-wide association studies.PloS one · 2011Article
- Article
- Self-reported ethnicity, genetic structure and the impact of population stratification in a multiethnic study.Human genetics · 2010Article
- Correcting for cryptic relatedness in population-based association studies of continuous traits.Human heredity · 2010Article
- A propensity score approach to correction for bias due to population stratification using genetic and non-genetic factors.Genetic epidemiology · 2009Article
- Methods for optimizing statistical analyses in pharmacogenomics research.Expert review of clinical pharmacology · 2009Article
Corrections and comments
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3 authors.
Funding
Abstract
Population stratification can cause spurious associations in population-based association studies. Several statistical methods have been proposed to reduce the impact of population stratification on population-based association studies. We simulated a set of stratified populations based on the real haplotype data from the HapMap ENCODE project, and compared the relative power, type I error rates, accuracy and positive prediction value of four prevailing population-based association study methods: traditional case-control tests, structured association (SA), genomic control (GC) and principal components analysis (PCA) under various population stratification levels. Additionally, we evaluated the effects of sample sizes and frequencies of disease susceptible allele on the performance of the four analytical methods in the presence of population stratification. We found that the performance of PCA was very stable under various scenarios. Our comparison results suggest that SA and PCA have comparable performance, if sufficient ancestral informative markers are used in SA analysis. GC appeared to be strongly conservative in significantly stratified populations. It may be better to apply GC in the stratified populations with low stratification level. Our study intends to provide a practical guideline for researchers to select proper study methods and make appropriate inference of the results in population-based association studies.
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